diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md deleted file mode 100644 index 0af9c249f1..0000000000 --- a/.github/copilot-instructions.md +++ /dev/null @@ -1,401 +0,0 @@ -# GitHub Copilot Instructions for Frigate NVR - -This document provides coding guidelines and best practices for contributing to Frigate NVR, a complete and local NVR designed for Home Assistant with AI object detection. - -## Project Overview - -Frigate NVR is a realtime object detection system for IP cameras that uses: - -- **Backend**: Python 3.13+ with FastAPI, OpenCV, TensorFlow/ONNX -- **Frontend**: React with TypeScript, Vite, TailwindCSS -- **Architecture**: Multiprocessing design with ZMQ and MQTT communication -- **Focus**: Minimal resource usage with maximum performance - -## Code Review Guidelines - -When reviewing code, do NOT comment on: - -- Missing imports - Static analysis tooling catches these -- Code formatting - Ruff (Python) and Prettier (TypeScript/React) handle formatting -- Minor style inconsistencies already enforced by linters - -## Python Backend Standards - -### Python Requirements - -- **Compatibility**: Python 3.13+ -- **Language Features**: Use modern Python features: - - Pattern matching - - Type hints (comprehensive typing preferred) - - f-strings (preferred over `%` or `.format()`) - - Dataclasses - - Async/await patterns - -### Code Quality Standards - -- **Formatting**: Ruff (configured in `pyproject.toml`) -- **Linting**: Ruff with rules defined in project config -- **Type Checking**: Use type hints consistently -- **Testing**: unittest framework - use `python3 -u -m unittest` to run tests -- **Language**: American English for all code, comments, and documentation - -### Logging Standards - -- **Logger Pattern**: Use module-level logger - - ```python - import logging - - logger = logging.getLogger(__name__) - ``` - -- **Format Guidelines**: - - No periods at end of log messages - - No sensitive data (keys, tokens, passwords) - - Use lazy logging: `logger.debug("Message with %s", variable)` -- **Log Levels**: - - `debug`: Development and troubleshooting information - - `info`: Important runtime events (startup, shutdown, state changes) - - `warning`: Recoverable issues that should be addressed - - `error`: Errors that affect functionality but don't crash the app - - `exception`: Use in except blocks to include traceback - -### Error Handling - -- **Exception Types**: Choose most specific exception available -- **Try/Catch Best Practices**: - - Only wrap code that can throw exceptions - - Keep try blocks minimal - process data after the try/except - - Avoid bare exceptions except in background tasks - - Bad pattern: - - ```python - try: - data = await device.get_data() # Can throw - # ❌ Don't process data inside try block - processed = data.get("value", 0) * 100 - result = processed - except DeviceError: - logger.error("Failed to get data") - ``` - - Good pattern: - - ```python - try: - data = await device.get_data() # Can throw - except DeviceError: - logger.error("Failed to get data") - return - - # ✅ Process data outside try block - processed = data.get("value", 0) * 100 - result = processed - ``` - -### Async Programming - -- **External I/O**: All external I/O operations must be async -- **Best Practices**: - - Avoid sleeping in loops - use `asyncio.sleep()` not `time.sleep()` - - Avoid awaiting in loops - use `asyncio.gather()` instead - - No blocking calls in async functions - - Use `asyncio.create_task()` for background operations -- **Thread Safety**: Use proper synchronization for shared state - -### Documentation Standards - -- **Module Docstrings**: Concise descriptions at top of files - ```python - """Utilities for motion detection and analysis.""" - ``` -- **Function Docstrings**: Required for public functions and methods - - ```python - async def process_frame(frame: ndarray, config: Config) -> Detection: - """Process a video frame for object detection. - - Args: - frame: The video frame as numpy array - config: Detection configuration - - Returns: - Detection results with bounding boxes - """ - ``` - -- **Comment Style**: - - Explain the "why" not just the "what" - - Keep lines under 88 characters when possible - - Use clear, descriptive comments - -### File Organization - -- **API Endpoints**: `frigate/api/` - FastAPI route handlers -- **Configuration**: `frigate/config/` - Configuration parsing and validation -- **Detectors**: `frigate/detectors/` - Object detection backends -- **Events**: `frigate/events/` - Event management and storage -- **Utilities**: `frigate/util/` - Shared utility functions - -## Frontend (React/TypeScript) Standards - -### Internationalization (i18n) - -- **CRITICAL**: Never write user-facing strings directly in components -- **Always use react-i18next**: Import and use the `t()` function - - ```tsx - import { useTranslation } from "react-i18next"; - - function MyComponent() { - const { t } = useTranslation(["views/live"]); - return
{t("camera_not_found")}
; - } - ``` - -- **Translation Files**: Add English strings to the appropriate json files in `web/public/locales/en` -- **Namespaces**: Organize translations by feature/view (e.g., `views/live`, `common`, `views/system`) - -### Code Quality - -- **Linting**: ESLint (see `web/.eslintrc.cjs`) -- **Formatting**: Prettier with Tailwind CSS plugin -- **Type Safety**: TypeScript strict mode enabled -- **Testing**: Vitest for unit tests - -### Component Patterns - -- **UI Components**: Use Radix UI primitives (in `web/src/components/ui/`) -- **Styling**: TailwindCSS with `cn()` utility for class merging -- **State Management**: React hooks (useState, useEffect, useCallback, useMemo) -- **Data Fetching**: Custom hooks with proper loading and error states - -### ESLint Rules - -Key rules enforced: - -- `react-hooks/rules-of-hooks`: error -- `react-hooks/exhaustive-deps`: error -- `no-console`: error (use proper logging or remove) -- `@typescript-eslint/no-explicit-any`: warn (always use proper types instead of `any`) -- Unused variables must be prefixed with `_` -- Comma dangles required for multiline objects/arrays - -### File Organization - -- **Pages**: `web/src/pages/` - Route components -- **Views**: `web/src/views/` - Complex view components -- **Components**: `web/src/components/` - Reusable components -- **Hooks**: `web/src/hooks/` - Custom React hooks -- **API**: `web/src/api/` - API client functions -- **Types**: `web/src/types/` - TypeScript type definitions - -## Testing Requirements - -### Backend Testing - -- **Framework**: Python unittest -- **Run Command**: `python3 -u -m unittest` -- **Location**: `frigate/test/` -- **Coverage**: Aim for comprehensive test coverage of core functionality -- **Pattern**: Use `TestCase` classes with descriptive test method names - ```python - class TestMotionDetection(unittest.TestCase): - def test_detects_motion_above_threshold(self): - # Test implementation - ``` - -### Test Best Practices - -- Always have a way to test your work and confirm your changes -- Write tests for bug fixes to prevent regressions -- Test edge cases and error conditions -- Mock external dependencies (cameras, APIs, hardware) -- Use fixtures for test data - -## Development Commands - -### Python Backend - -```bash -# Run all tests -python3 -u -m unittest - -# Run specific test file -python3 -u -m unittest frigate.test.test_ffmpeg_presets - -# Check formatting (Ruff) -ruff format --check frigate/ - -# Apply formatting -ruff format frigate/ - -# Run linter -ruff check frigate/ -``` - -### Frontend (from web/ directory) - -```bash -# Start dev server (AI agents should never run this directly unless asked) -npm run dev - -# Build for production -npm run build - -# Run linter -npm run lint - -# Fix linting issues -npm run lint:fix - -# Format code -npm run prettier:write -``` - -### Docker Development - -AI agents should never run these commands directly unless instructed. - -```bash -# Build local image -make local - -# Build debug image -make debug -``` - -## Common Patterns - -### API Endpoint Pattern - -```python -from fastapi import APIRouter, Request -from frigate.api.defs.tags import Tags - -router = APIRouter(tags=[Tags.Events]) - -@router.get("/events") -async def get_events(request: Request, limit: int = 100): - """Retrieve events from the database.""" - # Implementation -``` - -### Configuration Access - -```python -# Access Frigate configuration -config: FrigateConfig = request.app.frigate_config -camera_config = config.cameras["front_door"] -``` - -### Database Queries - -```python -from frigate.models import Event - -# Use Peewee ORM for database access -events = ( - Event.select() - .where(Event.camera == camera_name) - .order_by(Event.start_time.desc()) - .limit(limit) -) -``` - -## Common Anti-Patterns to Avoid - -### ❌ Avoid These - -```python -# Blocking operations in async functions -data = requests.get(url) # ❌ Use async HTTP client -time.sleep(5) # ❌ Use asyncio.sleep() - -# Hardcoded strings in React components -
Camera not found
# ❌ Use t("camera_not_found") - -# Missing error handling -data = await api.get_data() # ❌ No exception handling - -# Bare exceptions in regular code -try: - value = await sensor.read() -except Exception: # ❌ Too broad - logger.error("Failed") - -# Returning exceptions in JSON responses -except ValueError as e: - return JSONResponse( - content={"success": False, "message": str(e)}, - ) -``` - -### ✅ Use These Instead - -```python -# Async operations -import aiohttp -async with aiohttp.ClientSession() as session: - async with session.get(url) as response: - data = await response.json() - -await asyncio.sleep(5) # ✅ Non-blocking - -# Translatable strings in React -const { t } = useTranslation(); -
{t("camera_not_found")}
# ✅ Translatable - -# Proper error handling -try: - data = await api.get_data() -except ApiException as err: - logger.error("API error: %s", err) - raise - -# Specific exceptions -try: - value = await sensor.read() -except SensorException as err: # ✅ Specific - logger.exception("Failed to read sensor") - -# Safe error responses -except ValueError: - logger.exception("Invalid parameters for API request") - return JSONResponse( - content={ - "success": False, - "message": "Invalid request parameters", - }, - ) -``` - -## Project-Specific Conventions - -### Configuration Files - -- Main config: `config/config.yml` - -### Directory Structure - -- Backend code: `frigate/` -- Frontend code: `web/` -- Docker files: `docker/` -- Documentation: `docs/` -- Database migrations: `migrations/` - -### Code Style Conformance - -Always conform new and refactored code to the existing coding style in the project: - -- Follow established patterns in similar files -- Match indentation and formatting of surrounding code -- Use consistent naming conventions (snake_case for Python, camelCase for TypeScript) -- Maintain the same level of verbosity in comments and docstrings - -## Additional Resources - -- Documentation: https://docs.frigate.video -- Main Repository: https://github.com/blakeblackshear/frigate -- Home Assistant Integration: https://github.com/blakeblackshear/frigate-hass-integration diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md new file mode 120000 index 0000000000..47dc3e3d86 --- /dev/null +++ b/.github/copilot-instructions.md @@ -0,0 +1 @@ +AGENTS.md \ No newline at end of file diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 81d448f25f..482f9939ff 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -26,7 +26,7 @@ _Please read the [contributing guidelines](https://github.com/blakeblackshear/fr - This PR fixes or closes issue: fixes # - This PR is related to issue: -- Link to discussion with maintainers (**required** for large/pinned features): +- Link to discussion with maintainers (**required** for any large or "planned" features): ## For new features diff --git a/.github/workflows/pr_template_check.yml b/.github/workflows/pr_template_check.yml index 57db79ecce..c82b202ef5 100644 --- a/.github/workflows/pr_template_check.yml +++ b/.github/workflows/pr_template_check.yml @@ -13,7 +13,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Check PR description against template - uses: actions/github-script@v7 + uses: actions/github-script@v9 with: script: | const maintainers = ['blakeblackshear', 'NickM-27', 'hawkeye217', 'dependabot[bot]', 'weblate']; diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml index 6fff665a4a..516b55e89b 100644 --- a/.github/workflows/pull_request.yml +++ b/.github/workflows/pull_request.yml @@ -72,7 +72,7 @@ jobs: run: npm run e2e working-directory: ./web - name: Upload test artifacts - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v7 if: failure() with: name: playwright-report diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml index 011f70afd3..39512f24a3 100644 --- a/.github/workflows/stale.yml +++ b/.github/workflows/stale.yml @@ -18,9 +18,9 @@ jobs: close-issue-message: "" days-before-stale: 30 days-before-close: 3 - exempt-draft-pr: true - exempt-issue-labels: "pinned,security" - exempt-pr-labels: "pinned,security,dependencies" + exempt-draft-pr: false + exempt-issue-labels: "planned,security" + exempt-pr-labels: "planned,security,dependencies" operations-per-run: 120 - name: Print outputs env: diff --git a/.gitignore b/.gitignore index c9db2929f8..7c97a23a0e 100644 --- a/.gitignore +++ b/.gitignore @@ -22,3 +22,8 @@ core !/web/**/*.ts .idea/* .ipynb_checkpoints + +# Auto-generated Docker Compose Generator config files +docs/src/components/DockerComposeGenerator/config/devices.ts +docs/src/components/DockerComposeGenerator/config/hardware.ts +docs/src/components/DockerComposeGenerator/config/ports.ts diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000000..61b8373a82 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,439 @@ +# Agent Instructions for Frigate NVR + +This document provides coding guidelines and best practices for contributing to Frigate NVR, a complete and local NVR designed for Home Assistant with AI object detection. + +## Project Overview + +Frigate NVR is a realtime object detection system for IP cameras that uses: + +- **Backend**: Python 3.13+ with FastAPI, OpenCV, TensorFlow/ONNX +- **Frontend**: React with TypeScript, Vite, TailwindCSS +- **Architecture**: Multiprocessing design with ZMQ and MQTT communication +- **Focus**: Minimal resource usage with maximum performance + +## Code Review Guidelines + +When reviewing code, do NOT comment on: + +- Missing imports - Static analysis tooling catches these +- Code formatting - Ruff (Python) and Prettier (TypeScript/React) handle formatting +- Minor style inconsistencies already enforced by linters + +## Python Backend Standards + +### Python Requirements + +- **Compatibility**: Python 3.13+ +- **Language Features**: Use modern Python features: + - Pattern matching + - Type hints (comprehensive typing preferred) + - f-strings (preferred over `%` or `.format()`) + - Dataclasses + - Async/await patterns + +### Code Quality Standards + +- **Formatting**: Ruff (configured in `pyproject.toml`) +- **Linting**: Ruff with rules defined in project config +- **Type Checking**: Use type hints consistently +- **Testing**: unittest framework - use `python3 -u -m unittest` to run tests +- **Language**: American English for all code, comments, and documentation + +### Logging Standards + +- **Logger Pattern**: Use module-level logger + + ```python + import logging + + logger = logging.getLogger(__name__) + ``` + +- **Format Guidelines**: + - No periods at end of log messages + - No sensitive data (keys, tokens, passwords) + - Use lazy logging: `logger.debug("Message with %s", variable)` +- **Log Levels**: + - `debug`: Development and troubleshooting information + - `info`: Important runtime events (startup, shutdown, state changes) + - `warning`: Recoverable issues that should be addressed + - `error`: Errors that affect functionality but don't crash the app + - `exception`: Use in except blocks to include traceback + +### Error Handling + +- **Exception Types**: Choose most specific exception available +- **Try/Catch Best Practices**: + - Only wrap code that can throw exceptions + - Keep try blocks minimal - process data after the try/except + - Avoid bare exceptions except in background tasks + + Bad pattern: + + ```python + try: + data = await device.get_data() # Can throw + # ❌ Don't process data inside try block + processed = data.get("value", 0) * 100 + result = processed + except DeviceError: + logger.error("Failed to get data") + ``` + + Good pattern: + + ```python + try: + data = await device.get_data() # Can throw + except DeviceError: + logger.error("Failed to get data") + return + + # ✅ Process data outside try block + processed = data.get("value", 0) * 100 + result = processed + ``` + +### Async Programming + +- **External I/O**: All external I/O operations must be async +- **Best Practices**: + - Avoid sleeping in loops - use `asyncio.sleep()` not `time.sleep()` + - Avoid awaiting in loops - use `asyncio.gather()` instead + - No blocking calls in async functions + - Use `asyncio.create_task()` for background operations +- **Thread Safety**: Use proper synchronization for shared state + +### Documentation Standards + +- **Module Docstrings**: Concise descriptions at top of files + ```python + """Utilities for motion detection and analysis.""" + ``` +- **Function Docstrings**: Required for public functions and methods + + ```python + async def process_frame(frame: ndarray, config: Config) -> Detection: + """Process a video frame for object detection. + + Args: + frame: The video frame as numpy array + config: Detection configuration + + Returns: + Detection results with bounding boxes + """ + ``` + +- **Comment Style**: + - Explain the "why" not just the "what" + - Keep lines under 88 characters when possible + - Use clear, descriptive comments + +### File Organization + +- **API Endpoints**: `frigate/api/` - FastAPI route handlers +- **Configuration**: `frigate/config/` - Configuration parsing and validation +- **Detectors**: `frigate/detectors/` - Object detection backends +- **Events**: `frigate/events/` - Event management and storage +- **Utilities**: `frigate/util/` - Shared utility functions + +## Frontend (React/TypeScript) Standards + +### Internationalization (i18n) + +- **CRITICAL**: Never write user-facing strings directly in components +- **Always use react-i18next**: Import and use the `t()` function + + ```tsx + import { useTranslation } from "react-i18next"; + + function MyComponent() { + const { t } = useTranslation(["views/live"]); + return
{t("camera_not_found")}
; + } + ``` + +- **Translation Files**: Add English strings to the appropriate json files in `web/public/locales/en` +- **Namespaces**: Organize translations by feature/view (e.g., `views/live`, `common`, `views/system`) + +### Code Quality + +- **Linting**: ESLint (see `web/.eslintrc.cjs`) +- **Formatting**: Prettier with Tailwind CSS plugin +- **Type Safety**: TypeScript strict mode enabled + +### Component Patterns + +- **UI Components**: Use Radix UI primitives (in `web/src/components/ui/`) +- **Styling**: TailwindCSS with `cn()` utility for class merging +- **State Management**: React hooks (useState, useEffect, useCallback, useMemo) +- **Data Fetching**: Custom hooks with proper loading and error states + +### ESLint Rules + +Key rules enforced: + +- `react-hooks/rules-of-hooks`: error +- `react-hooks/exhaustive-deps`: error +- `no-console`: error (use proper logging or remove) +- `@typescript-eslint/no-explicit-any`: warn (always use proper types instead of `any`) +- Unused variables must be prefixed with `_` +- Comma dangles required for multiline objects/arrays + +### File Organization + +- **Pages**: `web/src/pages/` - Route components +- **Views**: `web/src/views/` - Complex view components +- **Components**: `web/src/components/` - Reusable components +- **Hooks**: `web/src/hooks/` - Custom React hooks +- **API**: `web/src/api/` - API client functions +- **Types**: `web/src/types/` - TypeScript type definitions + +## Testing Requirements + +### Backend Testing + +- **Framework**: Python unittest +- **Run Command**: `python3 -u -m unittest` +- **Location**: `frigate/test/` +- **Coverage**: Aim for comprehensive test coverage of core functionality +- **Pattern**: Use `TestCase` classes with descriptive test method names + ```python + class TestMotionDetection(unittest.TestCase): + def test_detects_motion_above_threshold(self): + # Test implementation + ``` + +### Test Best Practices + +- Always have a way to test your work and confirm your changes +- Write tests for bug fixes to prevent regressions +- Test edge cases and error conditions +- Mock external dependencies (cameras, APIs, hardware) +- Use fixtures for test data + +## Development Commands + +### Python Backend + +```bash +# Run all tests +python3 -u -m unittest + +# Run specific test file +python3 -u -m unittest frigate.test.test_ffmpeg_presets + +# Check formatting (Ruff) +ruff format --check frigate/ + +# Apply formatting +ruff format frigate/ + +# Run linter +ruff check frigate/ + +# Type check +python3 -u -m mypy --config-file frigate/mypy.ini frigate +``` + +### Frontend (from web/ directory) + +```bash +# Start dev server (AI agents should never run this directly unless asked) +npm run dev + +# Build for production +npm run build + +# Run linter +npm run lint + +# Fix linting issues +npm run lint:fix + +# Format code +npm run prettier:write + +# E2E: first-time setup +npm install +npx playwright install chromium + +# E2E: build the app and run all tests +npm run e2e:build && npm run e2e + +# E2E: interactive UI for debugging +npm run e2e:ui + +# E2E: run a specific spec +npx playwright test --config e2e/playwright.config.ts e2e/specs/live.spec.ts + +# E2E: filter by name, or run only desktop/mobile +npx playwright test --config e2e/playwright.config.ts --grep="severity tab" +npx playwright test --config e2e/playwright.config.ts --project=desktop + +# E2E: regenerate mock data after backend model changes (from repo root) +PYTHONPATH=. python3 web/e2e/fixtures/mock-data/generate-mock-data.py + +# Regenerate config translations from Pydantic models — outputs to +# web/public/locales/en/config/{global,cameras}.json. NEVER edit those +# JSON files by hand; change the Pydantic field title/description and +# re-run this script. (from repo root) +python3 generate_config_translations.py + +# Extract i18n keys from source into the locale files after adding +# new t() calls. Use the :ci variant to verify the locale files are +# in sync with source (fails if extraction would change anything). +npm run i18n:extract +npm run i18n:extract:ci +``` + +### Docker Development + +AI agents should never run these commands directly unless instructed. + +```bash +# Build local image +make local + +# Build debug image +make debug +``` + +## Common Patterns + +### API Endpoint Pattern + +```python +from fastapi import APIRouter, Request +from frigate.api.defs.tags import Tags + +router = APIRouter(tags=[Tags.Events]) + +@router.get("/events") +async def get_events(request: Request, limit: int = 100): + """Retrieve events from the database.""" + # Implementation +``` + +### Configuration Access + +```python +# Access Frigate configuration +config: FrigateConfig = request.app.frigate_config +camera_config = config.cameras["front_door"] +``` + +### Database Queries + +```python +from frigate.models import Event + +# Use Peewee ORM for database access +events = ( + Event.select() + .where(Event.camera == camera_name) + .order_by(Event.start_time.desc()) + .limit(limit) +) +``` + +## Common Anti-Patterns to Avoid + +### ❌ Avoid These + +```python +# Blocking operations in async functions +data = requests.get(url) # ❌ Use async HTTP client +time.sleep(5) # ❌ Use asyncio.sleep() + +# Hardcoded strings in React components +
Camera not found
# ❌ Use t("camera_not_found") + +# Missing error handling +data = await api.get_data() # ❌ No exception handling + +# Bare exceptions in regular code +try: + value = await sensor.read() +except Exception: # ❌ Too broad + logger.error("Failed") + +# Returning exceptions in JSON responses +except ValueError as e: + return JSONResponse( + content={"success": False, "message": str(e)}, + ) +``` + +### ✅ Use These Instead + +```python +# Async operations +import aiohttp +async with aiohttp.ClientSession() as session: + async with session.get(url) as response: + data = await response.json() + +await asyncio.sleep(5) # ✅ Non-blocking + +# Translatable strings in React +const { t } = useTranslation(); +
{t("camera_not_found")}
# ✅ Translatable + +# Proper error handling +try: + data = await api.get_data() +except ApiException as err: + logger.error("API error: %s", err) + raise + +# Specific exceptions +try: + value = await sensor.read() +except SensorException as err: # ✅ Specific + logger.exception("Failed to read sensor") + +# Safe error responses +except ValueError: + logger.exception("Invalid parameters for API request") + return JSONResponse( + content={ + "success": False, + "message": "Invalid request parameters", + }, + ) +``` + +## WebSocket Broadcasts + +Outbound WebSocket broadcasts go through a per-recipient classifier in `frigate/comms/ws.py` that enforces camera-level access. **The classifier is fail-closed: any topic it doesn't recognize is dropped for every client.** New outbound topics must be classified there or they'll silently disappear. + +## Project-Specific Conventions + +### Configuration Files + +- Main config: `config/config.yml` + +### Directory Structure + +- Backend code: `frigate/` +- Frontend code: `web/` +- Docker files: `docker/` +- Documentation: `docs/` +- Database migrations: `migrations/` + +### Code Style Conformance + +Always conform new and refactored code to the existing coding style in the project: + +- Follow established patterns in similar files +- Match indentation and formatting of surrounding code +- Use consistent naming conventions (snake_case for Python, camelCase for TypeScript) +- Maintain the same level of verbosity in comments and docstrings + +## Additional Resources + +- Documentation: https://docs.frigate.video +- Main Repository: https://github.com/blakeblackshear/frigate +- Home Assistant Integration: https://github.com/blakeblackshear/frigate-hass-integration diff --git a/CLAUDE.md b/CLAUDE.md new file mode 120000 index 0000000000..47dc3e3d86 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1 @@ +AGENTS.md \ No newline at end of file diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 9cb575d37a..e25c20835d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -10,11 +10,14 @@ If you've found a bug and want to fix it, go for it. Link to the relevant issue ### New features -Every new feature adds scope that the maintainers must test, maintain, and support long-term. Before writing code for a new feature: +A pull request is more than just code — it's a request for the maintainers to review, integrate, and support the change long-term. We're selective about what we take on, and prioritize changes that align with the project's direction and can be responsibly maintained in the long term. -1. **Check for existing discussion.** Search [feature requests](https://github.com/blakeblackshear/frigate/issues) and [discussions](https://github.com/blakeblackshear/frigate/discussions) to see if it's been proposed or discussed. Pinned feature requests are on our radar — we plan to get to them, but we don't maintain a public roadmap or timeline. Check in with us first if you have interest in contributing to one. +**Large or highly-requested features** raise the bar even higher. Popularity signals demand, but it doesn't pre-approve any particular implementation. The bigger the change, the higher the long-term cost, and the more important it is that we're aligned on scope and approach before any code is written. A large PR that lands without prior discussion is unlikely to be merged as-is, no matter how well it's implemented. + +Before writing code for a new feature: + +1. **Check for existing discussion.** Search [feature requests](https://github.com/blakeblackshear/frigate/issues) and [discussions](https://github.com/blakeblackshear/frigate/discussions) to see if it's been proposed or discussed. Feature requests tagged with "planned" are on our radar — we plan to get to them, but we don't maintain a public roadmap or timeline. Check in with us first if you have interest in contributing to one. 2. **Start a discussion or feature request first.** This helps ensure your idea aligns with Frigate's direction before you invest time building it. Community interest in a feature request helps us gauge demand, though a great idea is a great idea even without a crowd behind it. -3. **Be open to "no".** We try to be thoughtful about what we take on, and sometimes that means saying no to good code if the feature isn't the right fit for the project. These calls are sometimes subjective, and we won't always get them right. We're happy to discuss and reconsider. ## AI usage policy @@ -39,6 +42,8 @@ We're not trying to gatekeep how you write code. Use whatever tools make you pro Some honest context: when we review a PR, we're not just evaluating whether the code works today. We're evaluating whether we can maintain it, debug it, and extend it long-term — often without the original author's involvement. Code that the author doesn't deeply understand is code that nobody understands, and that's a liability. +One more thing worth saying directly: most maintainers already have access to the same AI tools you do. A PR that's entirely AI-generated — where the author can't explain the design, debug issues independently, or engage substantively in design discussions — doesn't offer something we couldn't produce ourselves. What makes a contribution genuinely valuable is the human judgment and domain understanding behind it, as well as the engagement during review that shapes it into something we can confidently take on long-term. + ## Pull request guidelines ### Before submitting diff --git a/docker/main/install_deps.sh b/docker/main/install_deps.sh index 11812e9edc..ad0fea91a8 100755 --- a/docker/main/install_deps.sh +++ b/docker/main/install_deps.sh @@ -87,43 +87,43 @@ if [[ "${TARGETARCH}" == "amd64" ]]; then # intel packages use zst compression so we need to update dpkg apt-get install -y dpkg - # use intel apt intel packages + # use intel apt repo for libmfx1 (legacy QSV, pre-Gen12) wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy client" | tee /etc/apt/sources.list.d/intel-gpu-jammy.list apt-get -qq update + # intel-media-va-driver-non-free is built from source in the # intel-media-driver Dockerfile stage for Battlemage (Xe2) support apt-get -qq install --no-install-recommends --no-install-suggests -y \ - libmfx1 libmfxgen1 libvpl2 - - apt-get -qq install -y ocl-icd-libopencl1 - - # install libtbb12 for NPU support - apt-get -qq install -y libtbb12 - + libmfx1 rm -f /usr/share/keyrings/intel-graphics.gpg rm -f /etc/apt/sources.list.d/intel-gpu-jammy.list - # install legacy and standard intel icd and level-zero-gpu - # see https://github.com/intel/compute-runtime/blob/master/LEGACY_PLATFORMS.md for more info - # newer intel packages (gmmlib 22.9+, igc 2.32+) require libstdc++ >= 13.1 and libzstd >= 1.5.5 + # upgrade libva2, oneVPL runtime, and libvpl2 from trixie for Battlemage support echo "deb http://deb.debian.org/debian trixie main" > /etc/apt/sources.list.d/trixie.list apt-get -qq update - apt-get -qq install -y -t trixie libstdc++6 libzstd1 + apt-get -qq install -y -t trixie libva2 libva-drm2 libzstd1 + apt-get -qq install -y -t trixie libmfx-gen1.2 libvpl2 rm -f /etc/apt/sources.list.d/trixie.list apt-get -qq update + apt-get -qq install -y ocl-icd-libopencl1 + # install libtbb12 for NPU support + apt-get -qq install -y libtbb12 + + # install legacy and standard intel compute packages + # see https://github.com/intel/compute-runtime/blob/master/LEGACY_PLATFORMS.md for more info # needed core package wget https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/libigdgmm12_22.9.0_amd64.deb dpkg -i libigdgmm12_22.9.0_amd64.deb rm libigdgmm12_22.9.0_amd64.deb - # legacy packages + # legacy compute-runtime packages wget https://github.com/intel/compute-runtime/releases/download/24.35.30872.36/intel-opencl-icd-legacy1_24.35.30872.36_amd64.deb wget https://github.com/intel/compute-runtime/releases/download/24.35.30872.36/intel-level-zero-gpu-legacy1_1.5.30872.36_amd64.deb wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17537.24/intel-igc-opencl_1.0.17537.24_amd64.deb wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17537.24/intel-igc-core_1.0.17537.24_amd64.deb - # standard packages + # standard compute-runtime packages wget https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/intel-opencl-icd_26.14.37833.4-0_amd64.deb wget https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/libze-intel-gpu1_26.14.37833.4-0_amd64.deb wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.32.7/intel-igc-opencl-2_2.32.7+21184_amd64.deb @@ -137,6 +137,10 @@ if [[ "${TARGETARCH}" == "amd64" ]]; then dpkg -i *.deb rm *.deb apt-get -qq install -f -y + + # Battlemage uses the xe kernel driver, but the VA-API driver is still iHD. + # The oneVPL runtime may look for a driver named after the kernel module. + ln -sf /usr/lib/x86_64-linux-gnu/dri/iHD_drv_video.so /usr/lib/x86_64-linux-gnu/dri/xe_drv_video.so fi if [[ "${TARGETARCH}" == "arm64" ]]; then diff --git a/docker/main/requirements-wheels.txt b/docker/main/requirements-wheels.txt index f81fefea47..7bd098454d 100644 --- a/docker/main/requirements-wheels.txt +++ b/docker/main/requirements-wheels.txt @@ -11,7 +11,7 @@ joserfc == 1.2.* cryptography == 44.0.* pathvalidate == 3.3.* markupsafe == 3.0.* -python-multipart == 0.0.20 +python-multipart == 0.0.26 # Classification Model Training tensorflow == 2.19.* ; platform_machine == 'aarch64' tensorflow-cpu == 2.19.* ; platform_machine == 'x86_64' @@ -42,7 +42,7 @@ opencv-python-headless == 4.11.0.* opencv-contrib-python == 4.11.0.* scipy == 1.16.* # OpenVino & ONNX -openvino == 2025.3.* +openvino == 2025.4.* onnxruntime == 1.22.* # Embeddings transformers == 4.45.* diff --git a/docker/main/rootfs/usr/local/go2rtc/create_config.py b/docker/main/rootfs/usr/local/go2rtc/create_config.py index 71897be0a7..5796a58aad 100644 --- a/docker/main/rootfs/usr/local/go2rtc/create_config.py +++ b/docker/main/rootfs/usr/local/go2rtc/create_config.py @@ -3,7 +3,6 @@ import json import os import sys -from pathlib import Path from typing import Any from ruamel.yaml import YAML @@ -18,37 +17,12 @@ ) from frigate.ffmpeg_presets import parse_preset_hardware_acceleration_encode from frigate.util.config import find_config_file +from frigate.util.services import is_restricted_go2rtc_source sys.path.remove("/opt/frigate") yaml = YAML() -# Check if arbitrary exec sources are allowed (defaults to False for security) -allow_arbitrary_exec = None -if "GO2RTC_ALLOW_ARBITRARY_EXEC" in os.environ: - allow_arbitrary_exec = os.environ.get("GO2RTC_ALLOW_ARBITRARY_EXEC") -elif ( - os.path.isdir("/run/secrets") - and os.access("/run/secrets", os.R_OK) - and "GO2RTC_ALLOW_ARBITRARY_EXEC" in os.listdir("/run/secrets") -): - allow_arbitrary_exec = ( - Path(os.path.join("/run/secrets", "GO2RTC_ALLOW_ARBITRARY_EXEC")) - .read_text() - .strip() - ) -# check for the add-on options file -elif os.path.isfile("/data/options.json"): - with open("/data/options.json") as f: - raw_options = f.read() - options = json.loads(raw_options) - allow_arbitrary_exec = options.get("go2rtc_allow_arbitrary_exec") - -ALLOW_ARBITRARY_EXEC = allow_arbitrary_exec is not None and str( - allow_arbitrary_exec -).lower() in ("true", "1", "yes") - - config_file = find_config_file() try: @@ -128,18 +102,13 @@ go2rtc_config["ffmpeg"]["rtsp"] = rtsp_args -def is_restricted_source(stream_source: str) -> bool: - """Check if a stream source is restricted (echo, expr, or exec).""" - return stream_source.strip().startswith(("echo:", "expr:", "exec:")) - - for name in list(go2rtc_config.get("streams", {})): stream = go2rtc_config["streams"][name] if isinstance(stream, str): try: formatted_stream = substitute_frigate_vars(stream) - if not ALLOW_ARBITRARY_EXEC and is_restricted_source(formatted_stream): + if is_restricted_go2rtc_source(formatted_stream): print( f"[ERROR] Stream '{name}' uses a restricted source (echo/expr/exec) which is disabled by default for security. " f"Set GO2RTC_ALLOW_ARBITRARY_EXEC=true to enable arbitrary exec sources." @@ -158,7 +127,7 @@ def is_restricted_source(stream_source: str) -> bool: for i, stream_item in enumerate(stream): try: formatted_stream = substitute_frigate_vars(stream_item) - if not ALLOW_ARBITRARY_EXEC and is_restricted_source(formatted_stream): + if is_restricted_go2rtc_source(formatted_stream): print( f"[ERROR] Stream '{name}' item {i + 1} uses a restricted source (echo/expr/exec) which is disabled by default for security. " f"Set GO2RTC_ALLOW_ARBITRARY_EXEC=true to enable arbitrary exec sources." diff --git a/docker/main/rootfs/usr/local/nginx/conf/nginx.conf b/docker/main/rootfs/usr/local/nginx/conf/nginx.conf index d954bdcd52..d0b18ff805 100644 --- a/docker/main/rootfs/usr/local/nginx/conf/nginx.conf +++ b/docker/main/rootfs/usr/local/nginx/conf/nginx.conf @@ -252,6 +252,7 @@ http { include proxy.conf; proxy_cache api_cache; + proxy_cache_key "$scheme$proxy_host$request_uri|$role|$groups|$user"; proxy_cache_lock on; proxy_cache_use_stale updating; proxy_cache_valid 200 5s; diff --git a/docker/rocm/Dockerfile b/docker/rocm/Dockerfile index 13bd357491..653ed1e4ee 100644 --- a/docker/rocm/Dockerfile +++ b/docker/rocm/Dockerfile @@ -13,7 +13,7 @@ ARG ROCM RUN apt update -qq && \ apt install -y wget gpg && \ - wget -O rocm.deb https://repo.radeon.com/amdgpu-install/7.2/ubuntu/jammy/amdgpu-install_7.2.70200-1_all.deb && \ + wget -O rocm.deb https://repo.radeon.com/amdgpu-install/7.2.3/ubuntu/jammy/amdgpu-install_7.2.3.70203-1_all.deb && \ apt install -y ./rocm.deb && \ apt update && \ apt install -qq -y rocm @@ -32,11 +32,14 @@ RUN echo /opt/rocm/lib|tee /opt/rocm-dist/etc/ld.so.conf.d/rocm.conf FROM deps AS deps-prelim COPY docker/rocm/debian-backports.sources /etc/apt/sources.list.d/debian-backports.sources -RUN apt-get update && \ +# install_deps.sh upgraded libstdc++6 from trixie for Battlemage; the matching +# -dev package must also come from trixie or apt refuses to satisfy it. +RUN echo "deb http://deb.debian.org/debian trixie main" > /etc/apt/sources.list.d/trixie.list && \ + apt-get update && \ apt-get install -y libnuma1 && \ apt-get install -qq -y -t bookworm-backports mesa-va-drivers mesa-vulkan-drivers && \ - # Install C++ standard library headers for HIPRTC kernel compilation fallback - apt-get install -qq -y libstdc++-12-dev && \ + apt-get install -qq -y -t trixie libstdc++-14-dev && \ + rm -f /etc/apt/sources.list.d/trixie.list && \ rm -rf /var/lib/apt/lists/* WORKDIR /opt/frigate @@ -75,6 +78,10 @@ ENV MIGRAPHX_DISABLE_MIOPEN_FUSION=1 ENV MIGRAPHX_DISABLE_SCHEDULE_PASS=1 ENV MIGRAPHX_DISABLE_REDUCE_FUSION=1 ENV MIGRAPHX_ENABLE_HIPRTC_WORKAROUNDS=1 +ENV MIOPEN_CUSTOM_CACHE_DIR=/config/model_cache/migraphx +ENV MIOPEN_USER_DB_PATH=/config/model_cache/migraphx +ENV AMD_COMGR_CACHE=1 +ENV AMD_COMGR_CACHE_DIR=/config/model_cache/migraphx COPY --from=rocm-dist / / diff --git a/docker/rocm/requirements-wheels-rocm.txt b/docker/rocm/requirements-wheels-rocm.txt index da22f2ff6d..f60b550c3f 100644 --- a/docker/rocm/requirements-wheels-rocm.txt +++ b/docker/rocm/requirements-wheels-rocm.txt @@ -1 +1 @@ -onnxruntime-migraphx @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v7.2.0/onnxruntime_migraphx-1.23.1-cp311-cp311-linux_x86_64.whl \ No newline at end of file +onnxruntime-migraphx @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v7.2.3-1/onnxruntime_migraphx-1.24.4-cp311-cp311-linux_x86_64.whl \ No newline at end of file diff --git a/docker/rocm/rocm.hcl b/docker/rocm/rocm.hcl index 710bfe9956..224118818e 100644 --- a/docker/rocm/rocm.hcl +++ b/docker/rocm/rocm.hcl @@ -1,5 +1,5 @@ variable "ROCM" { - default = "7.2.0" + default = "7.2.3" } variable "HSA_OVERRIDE_GFX_VERSION" { default = "" diff --git a/docs/docs/configuration/advanced.md b/docs/docs/configuration/advanced.md index e6de72593b..6ae023edac 100644 --- a/docs/docs/configuration/advanced.md +++ b/docs/docs/configuration/advanced.md @@ -172,7 +172,7 @@ Custom models may also require different input tensor formats. The colorspace co -Navigate to to configure the model path, dimensions, and input format. +Navigate to and open the **Custom Model** tab to configure the model path, dimensions, and input format. | Field | Description | | --------------------------------------------- | ------------------------------------ | diff --git a/docs/docs/configuration/face_recognition.md b/docs/docs/configuration/face_recognition.md index 035e4f4e80..e4999c6e8f 100644 --- a/docs/docs/configuration/face_recognition.md +++ b/docs/docs/configuration/face_recognition.md @@ -19,7 +19,7 @@ Face recognition requires a one-time internet connection to download detection a ### Face Detection -When running a Frigate+ model (or any custom model that natively detects faces) should ensure that `face` is added to the [list of objects to track](../plus/#available-label-types) either globally or for a specific camera. This will allow face detection to run at the same time as object detection and be more efficient. +When running a Frigate+ model (or any custom model that natively detects faces) should ensure that `face` is added to the [list of objects to track](../plus/index.md#available-label-types) either globally or for a specific camera. This will allow face detection to run at the same time as object detection and be more efficient. When running a default COCO model or another model that does not include `face` as a detectable label, face detection will run via CV2 using a lightweight DNN model that runs on the CPU. In this case, you should _not_ define `face` in your list of objects to track. @@ -171,7 +171,7 @@ When choosing images to include in the face training set it is recommended to al - If it is difficult to make out details in a persons face it will not be helpful in training. - Avoid images with extreme under/over-exposure. - Avoid blurry / pixelated images. -- Avoid training on infrared (gray-scale). The models are trained on color images and will be able to extract features from gray-scale images. +- Avoid training on infrared (gray-scale). The models are trained on color images and will not be able to extract features from gray-scale images. - Using images of people wearing hats / sunglasses may confuse the model. - Do not upload too many similar images at the same time, it is recommended to train no more than 4-6 similar images for each person to avoid over-fitting. diff --git a/docs/docs/configuration/genai/config.md b/docs/docs/configuration/genai/config.md index a02a313bab..9f396d3ccc 100644 --- a/docs/docs/configuration/genai/config.md +++ b/docs/docs/configuration/genai/config.md @@ -49,15 +49,14 @@ You should have at least 8 GB of RAM available (or VRAM if running on GPU) to ru ### Model Types: Instruct vs Thinking -Most vision-language models are available as **instruct** models, which are fine-tuned to follow instructions and respond concisely to prompts. However, some models (such as certain Qwen-VL or minigpt variants) offer both **instruct** and **thinking** versions. +Vision-language models come in **instruct** variants (fine-tuned to follow instructions and respond concisely), **thinking** variants (fine-tuned for free-form, speculative reasoning), and **hybrid** variants that support both modes per request. Most modern vision-language models are hybrid. -- **Instruct models** are always recommended for use with Frigate. These models generate direct, relevant, actionable descriptions that best fit Frigate's object and event summary use case. -- **Reasoning / Thinking models** are fine-tuned for more free-form, open-ended, and speculative outputs, which are typically not concise and may not provide the practical summaries Frigate expects. For this reason, Frigate does **not** recommend or support using thinking models. +Frigate manages reasoning per task automatically: -Some models are labeled as **hybrid** (capable of both thinking and instruct tasks). In these cases, it is recommended to disable reasoning / thinking, which is generally model specific (see your models documentation). +- **Description tasks** (object descriptions, review descriptions, review summaries) are synthesis-only and benefit from concise, direct output, so Frigate disables thinking for these calls when the model exposes a per-request toggle. +- **Chat** lets you toggle thinking on or off from the composer when the configured model supports it. -**Recommendation:** -Always select the `-instruct` or documented instruct/tagged variant of any model you use in your Frigate configuration. If in doubt, refer to your model provider's documentation or model library for guidance on the correct model variant to use. +You can use a pure instruct, hybrid, or thinking-capable model with Frigate — no extra configuration is required to disable thinking for descriptions. ### llama.cpp @@ -201,7 +200,7 @@ Cloud Generative AI providers require an active internet connection to send imag ### Ollama Cloud -Ollama also supports [cloud models](https://ollama.com/cloud), where your local Ollama instance handles requests from Frigate, but model inference is performed in the cloud. Set up Ollama locally, sign in with your Ollama account, and specify the cloud model name in your Frigate config. For more details, see the Ollama cloud model [docs](https://docs.ollama.com/cloud). +Ollama also supports [cloud models](https://ollama.com/cloud), where model inference is performed in the cloud. You can connect directly to Ollama Cloud by setting `base_url` to `https://ollama.com` and providing an API key. Alternatively, you can run Ollama locally and use a cloud model name so your local instance forwards requests to the cloud. For more details, see the Ollama cloud model [docs](https://docs.ollama.com/cloud). #### Configuration @@ -210,7 +209,8 @@ Ollama also supports [cloud models](https://ollama.com/cloud), where your local 1. Navigate to . - Set **Provider** to `ollama` - - Set **Base URL** to your local Ollama address (e.g., `http://localhost:11434`) + - Set **Base URL** to your local Ollama address (e.g., `http://localhost:11434`) or `https://ollama.com` for direct cloud inference + - Set **API key** if required by your endpoint (e.g., when using `https://ollama.com`) - Set **Model** to the cloud model name @@ -223,6 +223,16 @@ genai: model: cloud-model-name ``` +or when using Ollama Cloud directly + +```yaml +genai: + provider: ollama + base_url: https://ollama.com + model: cloud-model-name + api_key: your-api-key +``` + diff --git a/docs/docs/configuration/hardware_acceleration_video.md b/docs/docs/configuration/hardware_acceleration_video.md index 7aeecfda95..617d735395 100644 --- a/docs/docs/configuration/hardware_acceleration_video.md +++ b/docs/docs/configuration/hardware_acceleration_video.md @@ -136,90 +136,32 @@ ffmpeg: -### Configuring Intel GPU Stats in Docker +### Configuring Intel GPU Stats -Additional configuration is needed for the Docker container to be able to access the `intel_gpu_top` command for GPU stats. There are two options: +Frigate reads Intel GPU utilization directly from the kernel's per-client DRM usage counters exposed at `/proc//fdinfo/`. This requires: -1. Run the container as privileged. -2. Add the `CAP_PERFMON` capability (note: you might need to set the `perf_event_paranoid` low enough to allow access to the performance event system.) +- Linux kernel **5.19 or newer** for the `i915` driver, or any release of the `xe` driver. +- Frigate running with permission to read other processes' fdinfo. Running as root inside the container (the default) satisfies this; non-root setups may need `CAP_SYS_PTRACE`. -#### Run as privileged +No `intel_gpu_top` binary, `CAP_PERFMON`, privileged mode, or `perf_event_paranoid` tuning is required. -This method works, but it gives more permissions to the container than are actually needed. +#### Stats for SR-IOV or specific devices -##### Docker Compose - Privileged - -```yaml -services: - frigate: - ... - image: ghcr.io/blakeblackshear/frigate:stable - # highlight-next-line - privileged: true -``` - -##### Docker Run CLI - Privileged - -```bash {4} -docker run -d \ - --name frigate \ - ... - --privileged \ - ghcr.io/blakeblackshear/frigate:stable -``` - -#### CAP_PERFMON - -Only recent versions of Docker support the `CAP_PERFMON` capability. You can test to see if yours supports it by running: `docker run --cap-add=CAP_PERFMON hello-world` - -##### Docker Compose - CAP_PERFMON - -```yaml {5,6} -services: - frigate: - ... - image: ghcr.io/blakeblackshear/frigate:stable - cap_add: - - CAP_PERFMON -``` - -##### Docker Run CLI - CAP_PERFMON - -```bash {4} -docker run -d \ - --name frigate \ - ... - --cap-add=CAP_PERFMON \ - ghcr.io/blakeblackshear/frigate:stable -``` - -#### perf_event_paranoid - -_Note: This setting must be changed for the entire system._ - -For more information on the various values across different distributions, see https://askubuntu.com/questions/1400874/what-does-perf-paranoia-level-four-do. - -Depending on your OS and kernel configuration, you may need to change the `/proc/sys/kernel/perf_event_paranoid` kernel tunable. You can test the change by running `sudo sh -c 'echo 2 >/proc/sys/kernel/perf_event_paranoid'` which will persist until a reboot. Make it permanent by running `sudo sh -c 'echo kernel.perf_event_paranoid=2 >> /etc/sysctl.d/local.conf'` - -#### Stats for SR-IOV or other devices - -When using virtualized GPUs via SR-IOV, you need to specify the device path to use to gather stats from `intel_gpu_top`. This example may work for some systems using SR-IOV: +If the host has more than one Intel GPU (e.g. an iGPU plus a discrete GPU, or SR-IOV virtual functions), pin stats collection to a specific device by setting `intel_gpu_device` to either its PCI bus address or a DRM card/render-node path: ```yaml telemetry: stats: - intel_gpu_device: "sriov" + intel_gpu_device: "0000:00:02.0" ``` -For other virtualized GPUs, try specifying the direct path to the device instead: - ```yaml telemetry: stats: - intel_gpu_device: "drm:/dev/dri/card0" + intel_gpu_device: "/dev/dri/card1" ``` -If you are passing in a device path, make sure you've passed the device through to the container. +When passing a device path, make sure the device is also passed through to the container. ## AMD-based CPUs diff --git a/docs/docs/configuration/index.md b/docs/docs/configuration/index.md index 84f9780784..72f0cfd078 100644 --- a/docs/docs/configuration/index.md +++ b/docs/docs/configuration/index.md @@ -110,7 +110,7 @@ Here are some common starter configuration examples. These can be configured thr 1. Navigate to and configure the MQTT connection to your Home Assistant Mosquitto broker 2. Navigate to and set **Hardware acceleration arguments** to `Raspberry Pi (H.264)` -3. Navigate to and add a detector with **Type** `EdgeTPU` and **Device** `usb` +3. Navigate to and add a detector with **Type** `EdgeTPU` and **Device** `usb` 4. Navigate to and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion` 5. Navigate to and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30` 6. Navigate to and add your camera with the appropriate RTSP stream URL @@ -189,7 +189,7 @@ cameras: 1. Navigate to and set **Enable MQTT** to off 2. Navigate to and set **Hardware acceleration arguments** to `VAAPI (Intel/AMD GPU)` -3. Navigate to and add a detector with **Type** `EdgeTPU` and **Device** `usb` +3. Navigate to and add a detector with **Type** `EdgeTPU` and **Device** `usb` 4. Navigate to and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion` 5. Navigate to and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30` 6. Navigate to and add your camera with the appropriate RTSP stream URL @@ -266,8 +266,8 @@ cameras: 1. Navigate to and configure the connection to your MQTT broker 2. Navigate to and set **Hardware acceleration arguments** to `VAAPI (Intel/AMD GPU)` -3. Navigate to and add a detector with **Type** `openvino` and **Device** `AUTO` -4. Navigate to and configure the OpenVINO model path and settings +3. Navigate to and add a detector with **Type** `openvino` and **Device** `AUTO` +4. On the same page, in the **Custom Model** tab, configure the OpenVINO model path and settings 5. Navigate to and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion` 6. Navigate to and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30` 7. Navigate to and add your camera with the appropriate RTSP stream URL diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md index 2821fb7a27..21f86798cb 100644 --- a/docs/docs/configuration/object_detectors.md +++ b/docs/docs/configuration/object_detectors.md @@ -91,7 +91,7 @@ See [common Edge TPU troubleshooting steps](/troubleshooting/edgetpu) if the Edg -Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`. +Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`. @@ -111,7 +111,7 @@ detectors: -Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `usb:0` and `usb:1` as the device for each. +Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `usb:0` and `usb:1` as the device for each. @@ -136,7 +136,7 @@ _warning: may have [compatibility issues](https://github.com/blakeblackshear/fri -Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add**, then leave the device field empty. +Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add**, then leave the device field empty. @@ -156,7 +156,7 @@ detectors: -Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `pci`. +Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `pci`. @@ -176,7 +176,7 @@ detectors: -Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `pci:0` and `pci:1` as the device for each. +Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `pci:0` and `pci:1` as the device for each. @@ -199,7 +199,7 @@ detectors: -Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors with different device types (e.g., `usb` and `pci`). +Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors with different device types (e.g., `usb` and `pci`). @@ -246,7 +246,7 @@ After placing the downloaded files for the tflite model and labels in your confi -Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`. Then navigate to and configure the model settings: +Navigate to and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`. Then on the same page, in the **Custom Model** tab, configure the model settings: | Field | Value | | ---------------------------------------- | ----------------------------------------------------------------- | @@ -309,7 +309,7 @@ Use this configuration for YOLO-based models. When no custom model path or URL i -Navigate to and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then navigate to and configure the model settings: +Navigate to and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then on the same page, in the **Custom Model** tab, configure the model settings: | Field | Value | | ---------------------------------------- | ----------------------- | @@ -365,7 +365,7 @@ For SSD-based models, provide either a model path or URL to your compiled SSD mo -Navigate to and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then navigate to and configure the model settings: +Navigate to and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then on the same page, in the **Custom Model** tab, configure the model settings: | Field | Value | | --------------------------------------- | ------ | @@ -410,7 +410,7 @@ The Hailo detector supports all YOLO models compiled for Hailo hardware that inc -Navigate to and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then navigate to and configure the model settings to match your custom model dimensions and format. +Navigate to and select **Hailo-8/Hailo-8L** from the detector type dropdown and click **Add**, then set device to `PCIe`. Then on the same page, in the **Custom Model** tab, configure the model settings to match your custom model dimensions and format. @@ -465,7 +465,7 @@ When using many cameras one detector may not be enough to keep up. Multiple dete -Navigate to and select **OpenVINO** from the detector type dropdown and click **Add** to add multiple detectors, each targeting `GPU` or `NPU`. +Navigate to and select **OpenVINO** from the detector type dropdown and click **Add** to add multiple detectors, each targeting `GPU` or `NPU`. @@ -494,7 +494,7 @@ detectors: | [YOLO-NAS](#yolo-nas) | ✅ | ✅ | | | [MobileNet v2](#ssdlite-mobilenet-v2) | ✅ | ✅ | Fast and lightweight model, less accurate than larger models | | [YOLOX](#yolox) | ✅ | ? | | -| [D-FINE](#d-fine) | ❌ | ❌ | | +| [D-FINE / DEIMv2](#d-fine--deimv2) | ❌ | ❌ | | #### SSDLite MobileNet v2 @@ -508,7 +508,7 @@ Use the model configuration shown below when using the OpenVINO detector with th -Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU` (or `NPU`). Then navigate to and configure: +Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU` (or `NPU`). Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ------------------------------------------ | @@ -558,7 +558,7 @@ After placing the downloaded onnx model in your config folder, use the following -Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU`. Then navigate to and configure: +Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU`. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ------------------------------------------------- | @@ -620,7 +620,7 @@ After placing the downloaded onnx model in your config folder, use the following -Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU` (or `NPU`). Then navigate to and configure: +Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU` (or `NPU`). Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | -------------------------------------------------------- | @@ -676,7 +676,7 @@ After placing the downloaded onnx model in your `config/model_cache` folder, use -Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU`. Then navigate to and configure: +Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `GPU`. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | --------------------------------------- | --------------------------------- | @@ -710,13 +710,13 @@ model: -#### D-FINE +#### D-FINE / DEIMv2 -[D-FINE](https://github.com/Peterande/D-FINE) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-d-fine-model) for more information on downloading the D-FINE model for use in Frigate. +[D-FINE](https://github.com/Peterande/D-FINE) and [DEIMv2](https://github.com/Intellindust-AI-Lab/DEIMv2) are DETR based models that share the same ONNX input/output format. The ONNX exported models are supported, but not included by default. See the models section for downloading [D-FINE](#downloading-d-fine-model) or [DEIMv2](#downloading-deimv2-model) for use in Frigate. :::warning -Currently D-FINE models only run on OpenVINO in CPU mode, GPUs currently fail to compile the model +Currently D-FINE / DEIMv2 models only run on OpenVINO in CPU mode, GPUs currently fail to compile the model ::: @@ -728,7 +728,7 @@ After placing the downloaded onnx model in your config/model_cache folder, use t -Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `CPU`. Then navigate to and configure: +Navigate to and select **OpenVINO** from the detector type dropdown and click **Add**, then set device to `CPU`. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ---------------------------------- | @@ -766,6 +766,31 @@ Note that the labelmap uses a subset of the complete COCO label set that has onl +
+ DEIMv2 Setup & Config + +After placing the downloaded onnx model in your `config/model_cache` folder, you can use the following configuration: + +```yaml +detectors: + ov: + type: openvino + device: CPU + +model: + model_type: dfine + width: 640 + height: 640 + input_tensor: nchw + input_dtype: float + path: /config/model_cache/deimv2_hgnetv2_n.onnx + labelmap_path: /labelmap/coco-80.txt +``` + +Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects. + +
+ ## Apple Silicon detector The NPU in Apple Silicon can't be accessed from within a container, so the [Apple Silicon detector client](https://github.com/frigate-nvr/apple-silicon-detector) must first be setup. It is recommended to use the Frigate docker image with `-standard-arm64` suffix, for example `ghcr.io/blakeblackshear/frigate:stable-standard-arm64`. @@ -782,7 +807,7 @@ Using the detector config below will connect to the client: -Navigate to and select **ZMQ IPC** from the detector type dropdown and click **Add**, then set the endpoint to `tcp://host.docker.internal:5555`. +Navigate to and select **ZMQ IPC** from the detector type dropdown and click **Add**, then set the endpoint to `tcp://host.docker.internal:5555`. @@ -816,7 +841,7 @@ When Frigate is started with the following config it will connect to the detecto -Navigate to and select **ZMQ IPC** from the detector type dropdown and click **Add**, then set the endpoint to `tcp://host.docker.internal:5555`. Then navigate to and configure: +Navigate to and select **ZMQ IPC** from the detector type dropdown and click **Add**, then set the endpoint to `tcp://host.docker.internal:5555`. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | -------------------------------------------------------- | @@ -947,7 +972,7 @@ The AMD GPU kernel is known problematic especially when converting models to mxr See [ONNX supported models](#supported-models) for supported models, there are some caveats: -- D-FINE models are not supported +- D-FINE / DEIMv2 models are not supported - YOLO-NAS models are known to not run well on integrated GPUs ## ONNX @@ -977,7 +1002,7 @@ When using many cameras one detector may not be enough to keep up. Multiple dete -Navigate to and select **ONNX** from the detector type dropdown and click **Add** to add multiple detectors. +Navigate to and select **ONNX** from the detector type dropdown and click **Add** to add multiple detectors. @@ -997,13 +1022,13 @@ detectors: ### ONNX Supported Models -| Model | Nvidia GPU | AMD GPU | Notes | -| ----------------------------- | ---------- | ------- | --------------------------------------------------- | -| [YOLOv9](#yolo-v3-v4-v7-v9-2) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance | -| [RF-DETR](#rf-detr) | ✅ | ❌ | Supports CUDA Graphs for optimal Nvidia performance | -| [YOLO-NAS](#yolo-nas-1) | ⚠️ | ⚠️ | Not supported by CUDA Graphs | -| [YOLOX](#yolox-1) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance | -| [D-FINE](#d-fine) | ⚠️ | ❌ | Not supported by CUDA Graphs | +| Model | Nvidia GPU | AMD GPU | Notes | +| ------------------------------------ | ---------- | ------- | --------------------------------------------------- | +| [YOLOv9](#yolo-v3-v4-v7-v9-2) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance | +| [RF-DETR](#rf-detr) | ✅ | ⚠️ | Supports CUDA Graphs for optimal Nvidia performance | +| [YOLO-NAS](#yolo-nas-1) | ⚠️ | ⚠️ | Not supported by CUDA Graphs | +| [YOLOX](#yolox-1) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance | +| [D-FINE / DEIMv2](#d-fine--deimv2-1) | ⚠️ | ❌ | Not supported by CUDA Graphs | There is no default model provided, the following formats are supported: @@ -1025,7 +1050,7 @@ After placing the downloaded onnx model in your config folder, use the following -Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to and configure: +Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ------------------------------------------------- | @@ -1084,7 +1109,7 @@ After placing the downloaded onnx model in your config folder, use the following -Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to and configure: +Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | -------------------------------------------------------- | @@ -1133,7 +1158,7 @@ After placing the downloaded onnx model in your config folder, use the following -Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to and configure: +Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | -------------------------------------------------------- | @@ -1182,7 +1207,7 @@ After placing the downloaded onnx model in your `config/model_cache` folder, use -Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to and configure: +Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | --------------------------------------- | --------------------------------- | @@ -1215,9 +1240,9 @@ model: -#### D-FINE +#### D-FINE / DEIMv2 -[D-FINE](https://github.com/Peterande/D-FINE) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-d-fine-model) for more information on downloading the D-FINE model for use in Frigate. +[D-FINE](https://github.com/Peterande/D-FINE) and [DEIMv2](https://github.com/Intellindust-AI-Lab/DEIMv2) are DETR based models that share the same ONNX input/output format. The ONNX exported models are supported, but not included by default. See the models section for downloading [D-FINE](#downloading-d-fine-model) or [DEIMv2](#downloading-deimv2-model) for use in Frigate.
D-FINE Setup & Config @@ -1227,7 +1252,7 @@ After placing the downloaded onnx model in your `config/model_cache` folder, use -Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then navigate to and configure: +Navigate to and select **ONNX** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ------------------------------------------- | @@ -1262,6 +1287,28 @@ model:
+
+ DEIMv2 Setup & Config + +After placing the downloaded onnx model in your `config/model_cache` folder, you can use the following configuration: + +```yaml +detectors: + onnx: + type: onnx + +model: + model_type: dfine + width: 640 + height: 640 + input_tensor: nchw + input_dtype: float + path: /config/model_cache/deimv2_hgnetv2_n.onnx + labelmap_path: /labelmap/coco-80.txt +``` + +
+ Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects. ## CPU Detector (not recommended) @@ -1281,7 +1328,7 @@ A TensorFlow Lite model is provided in the container at `/cpu_model.tflite` and -Navigate to and select **CPU** from the detector type dropdown and click **Add**. Configure the number of threads and click **Add** again to add additional CPU detectors as needed (one per camera is recommended). +Navigate to and select **CPU** from the detector type dropdown and click **Add**. Configure the number of threads and click **Add** again to add additional CPU detectors as needed (one per camera is recommended). @@ -1317,7 +1364,7 @@ To integrate CodeProject.AI into Frigate, configure the detector as follows: -Navigate to and select **DeepStack** from the detector type dropdown and click **Add**. Set the API URL to point to your CodeProject.AI server (e.g., `http://:/v1/vision/detection`). +Navigate to and select **DeepStack** from the detector type dropdown and click **Add**. Set the API URL to point to your CodeProject.AI server (e.g., `http://:/v1/vision/detection`). @@ -1356,7 +1403,7 @@ To configure the MemryX detector, use the following example configuration: -Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. +Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. @@ -1376,7 +1423,7 @@ detectors: -Navigate to and select **MemryX** from the detector type dropdown and click **Add** to add multiple detectors, specifying `PCIe:0`, `PCIe:1`, `PCIe:2`, etc. as the device for each. +Navigate to and select **MemryX** from the detector type dropdown and click **Add** to add multiple detectors, specifying `PCIe:0`, `PCIe:1`, `PCIe:2`, etc. as the device for each. @@ -1405,7 +1452,7 @@ MemryX `.dfp` models are automatically downloaded at runtime, if enabled, to the #### YOLO-NAS -The [YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) model included in this detector is downloaded from the [Models Section](#downloading-yolo-nas-model) and compiled to DFP with [mx_nc](https://developer.memryx.com/tools/neural_compiler.html#usage). +The [YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) model included in this detector is downloaded from the [Models Section](#downloading-yolo-nas-model) and compiled to DFP with [mx_nc](https://developer.memryx.com/2p1/tools/neural_compiler.html#usage). **Note:** The default model for the MemryX detector is YOLO-NAS 320x320. @@ -1420,7 +1467,7 @@ Below is the recommended configuration for using the **YOLO-NAS** (small) model -Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then navigate to and configure: +Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ------------------------------------------------- | @@ -1459,7 +1506,7 @@ model: #### YOLOv9 -The YOLOv9s model included in this detector is downloaded from [the original GitHub](https://github.com/WongKinYiu/yolov9) like in the [Models Section](#yolov9-1) and compiled to DFP with [mx_nc](https://developer.memryx.com/tools/neural_compiler.html#usage). +The YOLOv9s model included in this detector is downloaded from [the original GitHub](https://github.com/WongKinYiu/yolov9) like in the [Models Section](#yolov9-1) and compiled to DFP with [mx_nc](https://developer.memryx.com/2p1/tools/neural_compiler.html#usage). ##### Configuration @@ -1468,7 +1515,7 @@ Below is the recommended configuration for using the **YOLOv9** (small) model wi -Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then navigate to and configure: +Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ------------------------------------------------- | @@ -1515,7 +1562,7 @@ Below is the recommended configuration for using the **YOLOX** (small) model wit -Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then navigate to and configure: +Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ----------------------- | @@ -1562,7 +1609,7 @@ Below is the recommended configuration for using the **SSDLite MobileNet v2** mo -Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then navigate to and configure: +Navigate to and select **MemryX** from the detector type dropdown and click **Add**, then set device to `PCIe:0`. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ----------------------- | @@ -1601,19 +1648,39 @@ model: #### Using a Custom Model -To use your own model: +To use your own custom model, first compile it into a [.dfp](https://developer.memryx.com/2p1/specs/files.html#dataflow-program) file, which is the format used by MemryX. + +#### Compile the Model + +Custom models must be compiled using **MemryX SDK 2.1**. + +Before compiling your model, install the MemryX Neural Compiler tools from the +[Install Tools](https://developer.memryx.com/2p1/get_started/install_tools.html) page on the **host**. + +> **Note:** It is recommended to compile the model on the host machine, or on another separate machine, rather than inside the Frigate Docker container. Installing the compiler inside Docker may conflict with container packages. It is recommended to create a Python virtual environment and install the compiler there. + +Once the SDK 2.1 environment is set up, follow the +[MemryX Compiler](https://developer.memryx.com/2p1/tools/neural_compiler.html#usage) documentation to compile your model. + +Example: + +```bash +mx_nc -m yolonas.onnx -c 4 --autocrop -v --dfp_fname yolonas.dfp +``` -1. Package your compiled model into a `.zip` file. +For detailed instructions on compiling models, refer to the [MemryX Compiler](https://developer.memryx.com/2p1/tools/neural_compiler.html#usage) docs and [Tutorials](https://developer.memryx.com/2p1/tutorials/tutorials.html). -2. The `.zip` must contain the compiled `.dfp` file. +#### Package the Compiled Model -3. Depending on the model, the compiler may also generate a cropped post-processing network. If present, it will be named with the suffix `_post.onnx`. +1. Package your compiled model into a `.zip` file. -4. Bind-mount the `.zip` file into the container and specify its path using `model.path` in your config. +2. The `.zip` file must contain the compiled `.dfp` file. -5. Update the `labelmap_path` to match your custom model's labels. +3. Depending on the model, the compiler may also generate a cropped post-processing network. If present, it will be named with the suffix `_post.onnx`. -For detailed instructions on compiling models, refer to the [MemryX Compiler](https://developer.memryx.com/tools/neural_compiler.html#usage) docs and [Tutorials](https://developer.memryx.com/tutorials/tutorials.html). +4. Bind-mount the `.zip` file into the container and specify its path using `model.path` in your config. + +5. Update `labelmap_path` to match your custom model's labels. ```yaml # The detector automatically selects the default model if nothing is provided in the config. @@ -1701,7 +1768,7 @@ Use the config below to work with generated TRT models: -Navigate to and select **TensorRT** from the detector type dropdown and click **Add**, then set the device to `0` (the default GPU index). Then navigate to and configure: +Navigate to and select **TensorRT** from the detector type dropdown and click **Add**, then set the device to `0` (the default GPU index). Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ------------------------------------------------------------ | @@ -1758,7 +1825,7 @@ Use the model configuration shown below when using the synaptics detector with t -Navigate to and select **Synaptics** from the detector type dropdown and click **Add**. Then navigate to and configure: +Navigate to and select **Synaptics** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ---------------------------- | @@ -1812,7 +1879,7 @@ When using many cameras one detector may not be enough to keep up. Multiple dete -Navigate to and select **RKNN** from the detector type dropdown and click **Add** to add multiple detectors, each with `num_cores` set to `0` for automatic selection. +Navigate to and select **RKNN** from the detector type dropdown and click **Add** to add multiple detectors, each with `num_cores` set to `0` for automatic selection. @@ -1854,7 +1921,7 @@ This `config.yml` shows all relevant options to configure the detector and expla -Navigate to and select **RKNN** from the detector type dropdown and click **Add**. Set `num_cores` to `0` for automatic selection (increase for better performance on multicore NPUs, e.g., set to `3` on rk3588). +Navigate to and select **RKNN** from the detector type dropdown and click **Add**. Set `num_cores` to `0` for automatic selection (increase for better performance on multicore NPUs, e.g., set to `3` on rk3588). @@ -1891,7 +1958,7 @@ The inference time was determined on a rk3588 with 3 NPU cores. -Navigate to and configure: +Navigate to and, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ----------------------------------------------------------------------- | @@ -1937,7 +2004,7 @@ The pre-trained YOLO-NAS weights from DeciAI are subject to their license and ca -Navigate to and configure: +Navigate to and, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | -------------------------------------------------- | @@ -1977,7 +2044,7 @@ model: # required -Navigate to and configure: +Navigate to and, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ---------------------------------------------- | @@ -2071,7 +2138,7 @@ Once completed, configure the detector as follows: -Navigate to and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to your AI server (e.g., service name, container name, or `host:port`), the zoo to `degirum/public`, and provide your authentication token if needed. +Navigate to and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to your AI server (e.g., service name, container name, or `host:port`), the zoo to `degirum/public`, and provide your authentication token if needed. @@ -2114,7 +2181,7 @@ It is also possible to eliminate the need for an AI server and run the hardware -Navigate to and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to `@local`, the zoo to `degirum/public`, and provide your authentication token. +Navigate to and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to `@local`, the zoo to `degirum/public`, and provide your authentication token. @@ -2151,7 +2218,7 @@ If you do not possess whatever hardware you want to run, there's also the option -Navigate to and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to `@cloud`, the zoo to `degirum/public`, and provide your authentication token. +Navigate to and select **DeGirum** from the detector type dropdown and click **Add**. Set the location to `@cloud`, the zoo to `degirum/public`, and provide your authentication token. @@ -2207,7 +2274,7 @@ Use the model configuration shown below when using the axengine detector with th -Navigate to and select **AXEngine NPU** from the detector type dropdown and click **Add**. Then navigate to and configure: +Navigate to and select **AXEngine NPU** from the detector type dropdown and click **Add**. Then on the same page, in the **Custom Model** tab, configure: | Field | Value | | ---------------------------------------- | ----------------------- | @@ -2274,6 +2341,49 @@ COPY --from=build /dfine/output/dfine_${MODEL_SIZE}_obj2coco.onnx /dfine-${MODEL EOF ``` +### Downloading DEIMv2 Model + +[DEIMv2](https://github.com/Intellindust-AI-Lab/DEIMv2) can be exported as ONNX by running the command below. Pretrained weights are available on Hugging Face for two backbone families: + +- **HGNetv2** (smaller/faster): `atto`, `femto`, `pico`, `n` +- **DINOv3** (larger/more accurate): `s`, `m`, `l`, `x` + +Set `BACKBONE` and `MODEL_SIZE` in the first line to match your desired variant. Hugging Face model names use uppercase (e.g. `HGNetv2_N`, `DINOv3_S`), while config files use lowercase (e.g. `hgnetv2_n`, `dinov3_s`). + +```sh +docker build . --rm --build-arg BACKBONE=hgnetv2 --build-arg MODEL_SIZE=n --output . -f- <<'EOF' +FROM python:3.11-slim AS build +RUN apt-get update && apt-get install --no-install-recommends -y git libgl1 libglib2.0-0 && rm -rf /var/lib/apt/lists/* +COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/ +WORKDIR /deimv2 +RUN git clone https://github.com/Intellindust-AI-Lab/DEIMv2.git . +# Install CPU-only PyTorch first to avoid pulling CUDA variant +RUN uv pip install --no-cache --system torch torchvision --index-url https://download.pytorch.org/whl/cpu +RUN uv pip install --no-cache --system -r requirements.txt +RUN uv pip install --no-cache --system onnx safetensors huggingface_hub +RUN mkdir -p output +ARG BACKBONE +ARG MODEL_SIZE +# Download from Hugging Face and convert safetensors to pth +RUN python3 -c "\ +from huggingface_hub import hf_hub_download; \ +from safetensors.torch import load_file; \ +import torch; \ +backbone = '${BACKBONE}'.replace('hgnetv2','HGNetv2').replace('dinov3','DINOv3'); \ +size = '${MODEL_SIZE}'.upper(); \ +st = load_file(hf_hub_download('Intellindust/DEIMv2_' + backbone + '_' + size + '_COCO', 'model.safetensors')); \ +torch.save({'model': st}, 'output/deimv2.pth')" +RUN sed -i "s/data = torch.rand(2/data = torch.rand(1/" tools/deployment/export_onnx.py +# HuggingFace safetensors omits frozen constants that the model constructor initializes +RUN sed -i "s/cfg.model.load_state_dict(state)/cfg.model.load_state_dict(state, strict=False)/" tools/deployment/export_onnx.py +RUN python3 tools/deployment/export_onnx.py -c configs/deimv2/deimv2_${BACKBONE}_${MODEL_SIZE}_coco.yml -r output/deimv2.pth +FROM scratch +ARG BACKBONE +ARG MODEL_SIZE +COPY --from=build /deimv2/output/deimv2.onnx /deimv2_${BACKBONE}_${MODEL_SIZE}.onnx +EOF +``` + ### Downloading RF-DETR Model RF-DETR can be exported as ONNX by running the command below. You can copy and paste the whole thing to your terminal and execute, altering `MODEL_SIZE=Nano` in the first line to `Nano`, `Small`, or `Medium` size. diff --git a/docs/docs/configuration/record.md b/docs/docs/configuration/record.md index 614beafed7..3d5ef35ba1 100644 --- a/docs/docs/configuration/record.md +++ b/docs/docs/configuration/record.md @@ -195,7 +195,7 @@ Pre and post capture footage is included in the **recording timeline**, visible ## Will Frigate delete old recordings if my storage runs out? -As of Frigate 0.12 if there is less than an hour left of storage, the oldest 2 hours of recordings will be deleted. +If there is less than an hour left of storage, the oldest hour of recordings will be deleted and a message will be printed in the Frigate logs. This emergency cleanup deletes the oldest recordings first regardless of retention settings to reclaim space as quickly as possible. ## Configuring Recording Retention diff --git a/docs/docs/configuration/restream.md b/docs/docs/configuration/restream.md index af4d635c6e..d488c54104 100644 --- a/docs/docs/configuration/restream.md +++ b/docs/docs/configuration/restream.md @@ -236,7 +236,7 @@ Enabling arbitrary exec sources allows execution of arbitrary commands through g ## Advanced Restream Configurations -The [exec](https://github.com/AlexxIT/go2rtc/tree/v1.9.13#source-exec) source in go2rtc can be used for custom ffmpeg commands. An example is below: +The [exec](https://github.com/AlexxIT/go2rtc/tree/v1.9.13#source-exec) source in go2rtc can be used for custom ffmpeg commands and other applications. An example is below: :::warning @@ -244,16 +244,11 @@ The `exec:`, `echo:`, and `expr:` sources are disabled by default for security. ::: -:::warning - -The `exec:`, `echo:`, and `expr:` sources are disabled by default for security. You must set `GO2RTC_ALLOW_ARBITRARY_EXEC=true` to use them. See [Security: Restricted Stream Sources](#security-restricted-stream-sources) for more information. - -::: - -NOTE: The output will need to be passed with two curly braces `{{output}}` +NOTE: RTSP output will need to be passed with two curly braces `{{output}}`, whereas pipe output must be passed without curly braces. ```yaml go2rtc: streams: stream1: exec:ffmpeg -hide_banner -re -stream_loop -1 -i /media/BigBuckBunny.mp4 -c copy -rtsp_transport tcp -f rtsp {{output}} + stream2: exec:rpicam-vid -t 0 --libav-format h264 -o - ``` diff --git a/docs/docs/configuration/review.md b/docs/docs/configuration/review.md index 4f39611dbe..be02bdd8e9 100644 --- a/docs/docs/configuration/review.md +++ b/docs/docs/configuration/review.md @@ -23,7 +23,7 @@ In 0.14 and later, all of that is bundled into a single review item which starts ## Alerts and Detections -Not every segment of video captured by Frigate may be of the same level of interest to you. Video of people who enter your property may be a different priority than those walking by on the sidewalk. For this reason, Frigate 0.14 categorizes review items as _alerts_ and _detections_. By default, all person and car objects are considered alerts. You can refine categorization of your review items by configuring required zones for them. +Not every segment of video captured by Frigate may be of the same level of interest to you. Video of people who enter your property may be a different priority than those walking by on the sidewalk. For this reason, Frigate categorizes review items as _alerts_ and _detections_. By default, all person and car objects are considered alerts. You can refine categorization of your review items by configuring required zones for them. :::note diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md index 7df2ae0bb5..6e98d1b7bf 100644 --- a/docs/docs/frigate/hardware.md +++ b/docs/docs/frigate/hardware.md @@ -223,10 +223,11 @@ Apple Silicon can not run within a container, so a ZMQ proxy is utilized to comm With the [ROCm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs. -| Name | YOLOv9 Inference Time | YOLO-NAS Inference Time | -| --------- | --------------------------- | ------------------------- | -| AMD 780M | t-320: ~ 14 ms s-320: 20 ms | 320: ~ 25 ms 640: ~ 50 ms | -| AMD 8700G | | 320: ~ 20 ms 640: ~ 40 ms | +| Name | YOLOv9 Inference Time | YOLO-NAS Inference Time | RF-DETR Inference Time | +| -------------- | --------------------------- | ------------------------- | ---------------------- | +| AMD 780M | t-320: ~ 14 ms s-320: 20 ms | 320: ~ 25 ms 640: ~ 50 ms | | +| AMD 8700G | | 320: ~ 20 ms 640: ~ 40 ms | | +| AMD 9060XT 16G | t-320: ~ 4 ms s-320: 5 ms | 320: ~ 6 ms | Nano-320: ~ 90 ms | ## Community Supported Detectors diff --git a/docs/docs/frigate/installation.md b/docs/docs/frigate/installation.md index 5d228a609a..485a735d81 100644 --- a/docs/docs/frigate/installation.md +++ b/docs/docs/frigate/installation.md @@ -4,12 +4,15 @@ title: Installation --- import ShmCalculator from '@site/src/components/ShmCalculator' +import DockerComposeGenerator from '@site/src/components/DockerComposeGenerator' +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; Frigate is a Docker container that can be run on any Docker host including as a [Home Assistant App](https://www.home-assistant.io/apps/). Note that the Home Assistant App is **not** the same thing as the integration. The [integration](/integrations/home-assistant) is required to integrate Frigate into Home Assistant, whether you are running Frigate as a standalone Docker container or as a Home Assistant App. :::tip -If you already have Frigate installed as a Home Assistant App, check out the [getting started guide](../guides/getting_started#configuring-frigate) to configure Frigate. +If you already have Frigate installed as a Home Assistant App, check out the [getting started guide](../guides/getting_started.md#configuring-frigate) to configure Frigate. ::: @@ -286,7 +289,7 @@ The MemryX MX3 Accelerator is available in the M.2 2280 form factor (like an NVM #### Installation -To get started with MX3 hardware setup for your system, refer to the [Hardware Setup Guide](https://developer.memryx.com/get_started/hardware_setup.html). +To get started with MX3 hardware setup for your system, refer to the [Hardware Setup Guide](https://developer.memryx.com/2p1/get_started/install_hardware.html). Then follow these steps for installing the correct driver/runtime configuration: @@ -295,6 +298,12 @@ Then follow these steps for installing the correct driver/runtime configuration: 3. Run the script with `./user_installation.sh` 4. **Restart your computer** to complete driver installation. +:::warning + +For manual setup, use **MemryX SDK 2.1** only. Other SDK versions are not supported for this setup. See the [SDK 2.1 documentation](https://developer.memryx.com/2p1/index.html) + +::: + #### Setup To set up Frigate, follow the default installation instructions, for example: `ghcr.io/blakeblackshear/frigate:stable` @@ -468,6 +477,16 @@ Finally, configure [hardware object detection](/configuration/object_detectors#a Running through Docker with Docker Compose is the recommended install method. + + + +Generate a Frigate Docker Compose configuration based on your hardware and requirements. + + + + + + ```yaml services: frigate: @@ -501,6 +520,10 @@ services: environment: FRIGATE_RTSP_PASSWORD: "password" ``` + + + +**Docker CLI** If you can't use Docker Compose, you can run the container with something similar to this: diff --git a/docs/docs/guides/getting_started.md b/docs/docs/guides/getting_started.md index cd456f2014..f112a0de96 100644 --- a/docs/docs/guides/getting_started.md +++ b/docs/docs/guides/getting_started.md @@ -192,7 +192,7 @@ cameras: ### Step 4: Configure detectors -By default, Frigate will use a single CPU detector. +By default, Frigate will use a single OpenVINO detector running on the CPU. In many cases, the integrated graphics on Intel CPUs provides sufficient performance for typical Frigate setups. If you have an Intel processor, you can follow the configuration below. @@ -204,8 +204,8 @@ You need to refer to **Configure hardware acceleration** above to enable the con -1. Navigate to and add a detector with **Type** `OpenVINO` and **Device** `GPU` -2. Navigate to and configure the model settings for OpenVINO: +1. Navigate to and add a detector with **Type** `OpenVINO` and **Device** `GPU` +2. On the same page, in the **Custom Model** tab, configure the model settings for OpenVINO: | Field | Value | | ---------------------------------------- | ------------------------------------------ | @@ -273,7 +273,7 @@ services: -Navigate to and add a detector with **Type** `EdgeTPU` and **Device** `usb`. +Navigate to and add a detector with **Type** `EdgeTPU` and **Device** `usb`. diff --git a/docs/docs/integrations/plus.md b/docs/docs/integrations/plus.md index 9783cb212a..949a9f49be 100644 --- a/docs/docs/integrations/plus.md +++ b/docs/docs/integrations/plus.md @@ -3,6 +3,8 @@ id: plus title: Frigate+ --- +import NavPath from "@site/src/components/NavPath"; + For more information about how to use Frigate+ to improve your model, see the [Frigate+ docs](/plus/). :::info @@ -57,7 +59,7 @@ You can view all of your submitted images at [https://plus.frigate.video](https: Once you have [requested your first model](../plus/first_model.md) and gotten your own model ID, it can be used with a special model path. No other information needs to be configured for Frigate+ models because it fetches the remaining config from Frigate+ automatically. -You can either choose the new model from the Frigate+ pane in the Settings page of the Frigate UI, or manually set the model at the root level in your config: +You can either choose the new model from the pane in the Frigate UI (the **Frigate+ Model** tab), or manually set the model at the root level in your config: ```yaml detectors: ... diff --git a/docs/docs/integrations/third_party_extensions.md b/docs/docs/integrations/third_party_extensions.md index c30c7d966b..a7d5fc9e61 100644 --- a/docs/docs/integrations/third_party_extensions.md +++ b/docs/docs/integrations/third_party_extensions.md @@ -39,6 +39,10 @@ This is a fork (with fixed errors and new features) of [original Double Take](ht [Frigate telegram](https://github.com/OldTyT/frigate-telegram) makes it possible to send events from Frigate to Telegram. Events are sent as a message with a text description, video, and thumbnail. +## [kiosk-monitor](https://github.com/extremeshok/kiosk-monitor) + +[kiosk-monitor](https://github.com/extremeshok/kiosk-monitor) is a Raspberry Pi watchdog that runs Chromium fullscreen on a Frigate dashboard (optionally with VLC on a second monitor for an RTSP camera stream), auto-restarts on frozen screens or unreachable URLs, and ships a Birdseye-aware Chromium helper that auto-sizes the grid to the display. + ## [Periscope](https://github.com/maksz42/periscope) [Periscope](https://github.com/maksz42/periscope) is a lightweight Android app that turns old devices into live viewers for Frigate. It works on Android 2.2 and above, including Android TV. It supports authentication and HTTPS. diff --git a/docs/docs/troubleshooting/dummy-camera.md b/docs/docs/troubleshooting/dummy-camera.md index e24c821290..7e9831e4be 100644 --- a/docs/docs/troubleshooting/dummy-camera.md +++ b/docs/docs/troubleshooting/dummy-camera.md @@ -37,6 +37,8 @@ The per-clip variation is typically quite low and is mostly an artifact of keyfr Debug Replay lets you re-run Frigate's detection pipeline against a section of recorded video without manually configuring a dummy camera. It automatically extracts the recording, creates a temporary camera with the same detection settings as the original, and loops the clip through the pipeline so you can observe detections in real time. +Debug Replay isn't intended to be a one-stop pane for all Frigate diagnostics or a comprehensive debugging environment for every Frigate feature. It merely makes it easier to spin up a "dummy camera" and perform some common adjustments in real-time. You'll still need to use the normal tools (logs, an MQTT client, etc) to debug your feature. + ### When to use - Reproducing a detection or tracking issue from a specific time range @@ -54,6 +56,7 @@ Only one replay session can be active at a time. If a session is already running - The replay will not always produce identical results to the original run. Different frames may be selected on replay, which can change detections and tracking. - Motion detection depends on the exact frames used; small frame shifts can change motion regions and therefore what gets passed to the detector. - Object detection is not fully deterministic: models and post-processing can yield slightly different results across runs. +- In cases where a detection is short and a replay may only be a small number of frames, it is recommended to manually add some padding before and after the detection so that the motion and object detectors have time to settle into the scene. Rather than starting Debug Replay from Explore, navigate to History for your camera, choose Debug Replay from the Actions menu, and click the "From Timeline" or "Custom" option. Treat the replay as a close approximation rather than an exact reproduction. Run multiple loops and examine the debug overlays and logs to understand the behavior. diff --git a/docs/docs/troubleshooting/faqs.md b/docs/docs/troubleshooting/faqs.md index 6cd67ba889..e11ae63159 100644 --- a/docs/docs/troubleshooting/faqs.md +++ b/docs/docs/troubleshooting/faqs.md @@ -111,26 +111,16 @@ TCP ensures that all data packets arrive in the correct order. This is crucial f You can still configure Frigate to use UDP by using ffmpeg input args or the preset `preset-rtsp-udp`. See the [ffmpeg presets](/configuration/ffmpeg_presets) documentation. -### Frigate hangs on startup with a "probing detect stream" message in the logs +### Frigate is slow to start up with a "probing detect stream" message in the logs -On startup, Frigate probes each camera's detect stream with OpenCV to auto-detect its resolution. OpenCV's FFmpeg backend may attempt RTSP over UDP during this probe regardless of the `-rtsp_transport tcp` in your `input_args` or preset. For cameras that do not respond to UDP (common on some Reolink models and others behind firewalls that block UDP), the probe can hang indefinitely and block Frigate from finishing startup, or it can return zeroed-out dimensions that show up as width `0` and height `0` in Camera Probe Info under System Metrics. +When `detect.width` and `detect.height` are not set, Frigate probes each camera's detect stream on startup (and when saving the config) to auto-detect its resolution. For RTSP streams Frigate probes with ffprobe and automatically retries over TCP if UDP doesn't respond, with a 5 second timeout per attempt. A camera that cannot be reached over either transport will add up to ~10 seconds to startup before Frigate falls through with default dimensions, which may show up as width `0` and height `0` in Camera Probe Info under System Metrics. -There are two ways to avoid this: +To skip the probe entirely and make startup instant, set `detect.width` and `detect.height` explicitly in your camera config: -1. Set `detect.width` and `detect.height` explicitly in your camera config. When both are set, Frigate skips the auto-detect probe entirely: - - ```yaml - cameras: - my_camera: - detect: - width: 1280 - height: 720 - ``` - -2. Force OpenCV's FFmpeg backend to use TCP for RTSP by setting the environment variable on your Frigate container: - - ``` - OPENCV_FFMPEG_CAPTURE_OPTIONS=rtsp_transport;tcp - ``` - - This is a process-wide setting and applies to all cameras. If you have any cameras that require `preset-rtsp-udp`, use option 1 instead. +```yaml +cameras: + my_camera: + detect: + width: 1280 + height: 720 +``` diff --git a/docs/package-lock.json b/docs/package-lock.json index 626d71dfda..2310274651 100644 --- a/docs/package-lock.json +++ b/docs/package-lock.json @@ -14,9 +14,11 @@ "@docusaurus/theme-mermaid": "^3.7.0", "@inkeep/docusaurus": "^2.0.16", "@mdx-js/react": "^3.1.0", + "@types/js-yaml": "^4.0.9", "clsx": "^2.1.1", "docusaurus-plugin-openapi-docs": "^4.5.1", "docusaurus-theme-openapi-docs": "^4.5.1", + "js-yaml": "^4.1.1", "prism-react-renderer": "^2.4.1", "raw-loader": "^4.0.2", "react": "^18.3.1", @@ -5747,6 +5749,11 @@ "@types/istanbul-lib-report": "*" } }, + "node_modules/@types/js-yaml": { + "version": "4.0.9", + "resolved": "https://mirrors.tencent.com/npm/@types/js-yaml/-/js-yaml-4.0.9.tgz", + "integrity": "sha512-k4MGaQl5TGo/iipqb2UDG2UwjXziSWkh0uysQelTlJpX1qGlpUZYm8PnO4DxG1qBomtJUdYJ6qR6xdIah10JLg==" + }, "node_modules/@types/json-schema": { "version": "7.0.15", "resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz", @@ -10897,9 +10904,9 @@ "license": "MIT" }, "node_modules/express/node_modules/path-to-regexp": { - "version": "0.1.12", - "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.12.tgz", - "integrity": "sha512-RA1GjUVMnvYFxuqovrEqZoxxW5NUZqbwKtYz/Tt7nXerk0LbLblQmrsgdeOxV5SFHf0UDggjS/bSeOZwt1pmEQ==", + "version": "0.1.13", + "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.13.tgz", + "integrity": "sha512-A/AGNMFN3c8bOlvV9RreMdrv7jsmF9XIfDeCd87+I8RNg6s78BhJxMu69NEMHBSJFxKidViTEdruRwEk/WIKqA==", "license": "MIT" }, "node_modules/express/node_modules/range-parser": { @@ -10964,9 +10971,9 @@ "license": "MIT" }, "node_modules/fast-uri": { - "version": "3.1.0", - "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.0.tgz", - "integrity": "sha512-iPeeDKJSWf4IEOasVVrknXpaBV0IApz/gp7S2bb7Z4Lljbl2MGJRqInZiUrQwV16cpzw/D3S5j5Julj/gT52AA==", + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.2.tgz", + "integrity": "sha512-rVjf7ArG3LTk+FS6Yw81V1DLuZl1bRbNrev6Tmd/9RaroeeRRJhAt7jg/6YFxbvAQXUCavSoZhPPj6oOx+5KjQ==", "funding": [ { "type": "github", @@ -12883,7 +12890,7 @@ }, "node_modules/js-yaml": { "version": "4.1.1", - "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.1.1.tgz", + "resolved": "https://mirrors.tencent.com/npm/js-yaml/-/js-yaml-4.1.1.tgz", "integrity": "sha512-qQKT4zQxXl8lLwBtHMWwaTcGfFOZviOJet3Oy/xmGk2gZH677CJM9EvtfdSkgWcATZhj/55JZ0rmy3myCT5lsA==", "license": "MIT", "dependencies": { diff --git a/docs/package.json b/docs/package.json index 0ff76c4739..e57d7a1540 100644 --- a/docs/package.json +++ b/docs/package.json @@ -3,9 +3,10 @@ "version": "0.0.0", "private": true, "scripts": { + "build:config": "node scripts/build-config.mjs", "docusaurus": "docusaurus", - "start": "npm run regen-docs && docusaurus start --host 0.0.0.0", - "build": "npm run regen-docs && docusaurus build", + "start": "npm run build:config && npm run regen-docs && docusaurus start --host 0.0.0.0", + "build": "npm run build:config && npm run regen-docs && docusaurus build", "swizzle": "docusaurus swizzle", "deploy": "docusaurus deploy", "clear": "docusaurus clear", @@ -23,9 +24,11 @@ "@docusaurus/theme-mermaid": "^3.7.0", "@inkeep/docusaurus": "^2.0.16", "@mdx-js/react": "^3.1.0", + "@types/js-yaml": "^4.0.9", "clsx": "^2.1.1", "docusaurus-plugin-openapi-docs": "^4.5.1", "docusaurus-theme-openapi-docs": "^4.5.1", + "js-yaml": "^4.1.1", "prism-react-renderer": "^2.4.1", "raw-loader": "^4.0.2", "react": "^18.3.1", diff --git a/docs/scripts/build-config.mjs b/docs/scripts/build-config.mjs new file mode 100644 index 0000000000..78926bed5b --- /dev/null +++ b/docs/scripts/build-config.mjs @@ -0,0 +1,64 @@ +#!/usr/bin/env node + +/** + * Build script: reads config.yaml and generates TypeScript files + * for the Docker Compose Generator. + * + * Usage: node scripts/build-config.mjs + */ + +import fs from "node:fs"; +import path from "node:path"; +import { fileURLToPath } from "node:url"; +import yaml from "js-yaml"; + +const __dirname = path.dirname(fileURLToPath(import.meta.url)); +const CONFIG_DIR = path.resolve(__dirname, "../src/components/DockerComposeGenerator/config"); +const YAML_PATH = path.join(CONFIG_DIR, "config.yaml"); + +// Read & parse YAML +const raw = fs.readFileSync(YAML_PATH, "utf8"); +const config = yaml.load(raw); + +if (!config.devices || !config.hardware || !config.ports) { + console.error("config.yaml must contain 'devices', 'hardware', and 'ports' sections."); + process.exit(1); +} + +/** + * Generate a .ts file from a section of the YAML config. + */ +function generateTsFile(sectionName, items, typeName, varName, mapVarName, yamlFilename) { + const jsonItems = JSON.stringify(items, null, 2); + // Indent JSON to fit inside the array literal + const indented = jsonItems + .split("\n") + .map((line, i) => (i === 0 ? line : " " + line)) + .join("\n"); + + const content = `/** + * AUTO-GENERATED FILE — do not edit directly. + * Source: ${yamlFilename} + * To update, edit the YAML file and run: npm run build:config + */ + +import type { ${typeName} } from "./types"; + +export const ${varName}: ${typeName}[] = ${indented}; + +/** Lookup map for quick access by ID */ +export const ${mapVarName}: Map = new Map(${varName}.map((item) => [item.id, item])); +`; + + const outPath = path.join(CONFIG_DIR, `${sectionName}.ts`); + fs.writeFileSync(outPath, content, "utf8"); + console.log(` ✓ Generated ${sectionName}.ts (${items.length} items)`); +} + +console.log("Building config from config.yaml..."); + +generateTsFile("devices", config.devices, "DeviceConfig", "devices", "deviceMap", "config.yaml"); +generateTsFile("hardware", config.hardware, "HardwareOption", "hardwareOptions", "hardwareMap", "config.yaml"); +generateTsFile("ports", config.ports, "PortConfig", "ports", "portMap", "config.yaml"); + +console.log("Done!"); diff --git a/docs/scripts/lib/nav_map.py b/docs/scripts/lib/nav_map.py index 80f13d65b7..0fddf40e00 100644 --- a/docs/scripts/lib/nav_map.py +++ b/docs/scripts/lib/nav_map.py @@ -63,8 +63,8 @@ "environment_vars": ("System", "Environment variables"), "telemetry": ("System", "Telemetry"), "birdseye": ("System", "Birdseye"), - "detectors": ("System", "Detector hardware"), - "model": ("System", "Detection model"), + "detectors": ("System", "Detectors and model"), + "model": ("System", "Detectors and model"), } # All known top-level config section keys diff --git a/docs/src/components/DockerComposeGenerator/DockerComposeGenerator.tsx b/docs/src/components/DockerComposeGenerator/DockerComposeGenerator.tsx new file mode 100644 index 0000000000..b8a8a8fc85 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/DockerComposeGenerator.tsx @@ -0,0 +1,108 @@ +import React from "react"; +import Admonition from "@theme/Admonition"; +import DeviceSelector from "./components/DeviceSelector"; +import HardwareOptions from "./components/HardwareOptions"; +import PortConfigSection from "./components/PortConfig"; +import StoragePaths from "./components/StoragePaths"; +import NvidiaGpuConfig from "./components/NvidiaGpuConfig"; +import OtherOptions from "./components/OtherOptions"; +import GeneratedOutput from "./components/GeneratedOutput"; +import { useConfigGenerator } from "./hooks/useConfigGenerator"; +import styles from "./styles.module.css"; + +/** + * Simple markdown-link-to-React renderer for help text. + * Only supports [text](url) syntax — no nested brackets. + */ +function renderHelpText(text: string): React.ReactNode { + const parts = text.split(/(\[[^\]]+\]\([^)]+\))/g); + return parts.map((part, i) => { + const match = part.match(/^\[([^\]]+)\]\(([^)]+)\)$/); + if (match) { + return ( + + {match[1]} + + ); + } + return {part}; + }); +} + +export default function DockerComposeGenerator() { + const { + deviceId, device, hardwareEnabled, + portEnabled, + nvidiaGpuCount, nvidiaGpuDeviceId, + configPath, mediaPath, rtspPassword, timezone, shmSize, + shmSizeError, gpuDeviceIdError, configPathError, mediaPathError, + hasAnyHardware, generatedYaml, + selectDevice, toggleHardware, togglePort, + handleShmSizeChange, handleConfigPathChange, handleMediaPathChange, + handleNvidiaGpuCountChange, handleNvidiaGpuDeviceIdChange, + setRtspPassword, setTimezone, isHardwareDisabled, + } = useConfigGenerator(); + + return ( +
+
+ + + {device.helpText && ( + + {renderHelpText(device.helpText)} + + )} + + {device.needsNvidiaConfig && ( + + )} + + + + + + + + + + +
+
+ ); +} diff --git a/docs/src/components/DockerComposeGenerator/components/DeviceSelector.tsx b/docs/src/components/DockerComposeGenerator/components/DeviceSelector.tsx new file mode 100644 index 0000000000..ddad160502 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/components/DeviceSelector.tsx @@ -0,0 +1,147 @@ +import React from "react"; +import { useColorMode } from "@docusaurus/theme-common"; +import { devices } from "../config"; +import type { DeviceConfig } from "../config"; +import styles from "../styles.module.css"; + +interface Props { + selectedId: string; + onSelect: (id: string) => void; +} + +/** + * Determine the icon type from the icon string: + * - Starts with " tag. + */ +function hasBackgroundProps(style: React.CSSProperties | undefined): boolean { + if (!style) return false; + return Object.keys(style).some((key) => { + const k = key.toLowerCase().replace(/-/g, ""); + return k === "backgroundsize" || k === "backgroundposition" || k === "backgroundrepeat" || k === "backgroundimage"; + }); +} + +/** + * Convert a style object to CSS custom properties (e.g. { width: "24px" } → { "--svg-width": "24px" }) + * so they can be consumed by CSS rules targeting child elements like . + */ +function toCssVars(style: React.CSSProperties | undefined, prefix: string): React.CSSProperties { + if (!style) return {}; + const vars: Record = {}; + for (const [key, value] of Object.entries(style)) { + const cssKey = key.replace(/([A-Z])/g, "-$1").toLowerCase(); + vars[`--${prefix}-${cssKey}`] = value; + } + return vars as React.CSSProperties; +} + +function DeviceIcon({ device }: { device: DeviceConfig }) { + const { isDarkTheme } = useColorMode(); + const iconStr = isDarkTheme && device.iconDark ? device.iconDark : device.icon; + const iconStyle = (isDarkTheme && device.iconDarkStyle + ? device.iconDarkStyle + : device.iconStyle) as React.CSSProperties | undefined; + const svgStyle = (isDarkTheme && device.svgDarkStyle + ? device.svgDarkStyle + : device.svgStyle) as React.CSSProperties | undefined; + + const iconType = getIconType(iconStr); + + if (iconType === "svg") { + return ( +
+ ); + } + + if (iconType === "image") { + // When iconStyle contains background-* properties, render as background-image + // on the container div instead of an tag, enabling background-size/position control. + if (hasBackgroundProps(iconStyle)) { + return ( +
+ ); + } + return ( +
+ {device.name} +
+ ); + } + + return ( +
+ {iconStr} +
+ ); +} + +function DeviceCard({ + device, + active, + onClick, +}: { + device: DeviceConfig; + active: boolean; + onClick: () => void; +}) { + return ( +
{ + if (e.key === "Enter" || e.key === " ") onClick(); + }} + > + +
{device.name}
+
{device.description}
+
+ ); +} + +export default function DeviceSelector({ selectedId, onSelect }: Props) { + return ( +
+

Device Type

+
+ {devices.map((d) => ( + onSelect(d.id)} + /> + ))} +
+
+ ); +} diff --git a/docs/src/components/DockerComposeGenerator/components/GeneratedOutput.tsx b/docs/src/components/DockerComposeGenerator/components/GeneratedOutput.tsx new file mode 100644 index 0000000000..f170637aa0 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/components/GeneratedOutput.tsx @@ -0,0 +1,60 @@ +import React, { useState, useCallback } from "react"; +import CodeBlock from "@theme/CodeBlock"; +import Admonition from "@theme/Admonition"; +import styles from "../styles.module.css"; + +interface Props { + yaml: string; + configPath: string; + mediaPath: string; + hasAnyHardware: boolean; + deviceId: string; +} + +export default function GeneratedOutput({ + yaml, + configPath, + mediaPath, + hasAnyHardware, + deviceId, +}: Props) { + const [copied, setCopied] = useState(false); + + const handleCopy = useCallback(() => { + navigator.clipboard.writeText(yaml).then(() => { + setCopied(true); + setTimeout(() => setCopied(false), 2000); + }); + }, [yaml]); + + return ( +
+
+

Generated Configuration

+ +
+ + {!configPath && ( + +

You haven't specified a config file directory. You may want to modify the default path.

+ + )} + {!mediaPath && ( + +

You haven't specified a recording storage directory. You may want to modify the default path.

+ + )} + {deviceId === "stable" && !hasAnyHardware && ( + +

You haven't selected any hardware acceleration. Please check if you have supported hardware available.

+ + )} + + + {yaml} + +
+ ); +} diff --git a/docs/src/components/DockerComposeGenerator/components/HardwareOptions.tsx b/docs/src/components/DockerComposeGenerator/components/HardwareOptions.tsx new file mode 100644 index 0000000000..9c261ed419 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/components/HardwareOptions.tsx @@ -0,0 +1,62 @@ +import React from "react"; +import { hardwareOptions } from "../config"; +import type { HardwareOption } from "../config"; +import styles from "../styles.module.css"; + +interface Props { + deviceId: string; + hardwareEnabled: Record; + onToggle: (hwId: string) => void; + isDisabled: (hwId: string) => boolean; +} + +function renderDescription(text: string): React.ReactNode { + const parts = text.split(/(\[[^\]]+\]\([^)]+\))/g); + return parts.map((part, i) => { + const match = part.match(/^\[([^\]]+)\]\(([^)]+)\)$/); + if (match) { + return {match[1]}; + } + return {part}; + }); +} + +function HardwareCheckbox({ + hw, disabled, checked, onToggle, +}: { + hw: HardwareOption; disabled: boolean; checked: boolean; onToggle: () => void; +}) { + return ( +
+ + {checked && hw.description && ( +
{renderDescription(hw.description)}
+ )} +
+ ); +} + +export default function HardwareOptions({ deviceId, hardwareEnabled, onToggle, isDisabled }: Props) { + return ( +
+

Generic Hardware Devices

+ {deviceId !== "stable" && ( +

+ Some options have been auto-configured based on your device type. +

+ )} +
+ {hardwareOptions.map((hw) => { + const disabled = isDisabled(hw.id); + const checked = disabled ? false : !!hardwareEnabled[hw.id]; + return ( + onToggle(hw.id)} /> + ); + })} +
+
+ ); +} diff --git a/docs/src/components/DockerComposeGenerator/components/NvidiaGpuConfig.tsx b/docs/src/components/DockerComposeGenerator/components/NvidiaGpuConfig.tsx new file mode 100644 index 0000000000..9c9be5e6a9 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/components/NvidiaGpuConfig.tsx @@ -0,0 +1,64 @@ +import React from "react"; +import styles from "../styles.module.css"; + +interface Props { + gpuCount: string; + gpuDeviceId: string; + gpuDeviceIdError: boolean; + onGpuCountChange: (value: string) => void; + onGpuDeviceIdChange: (value: string) => void; +} + +export default function NvidiaGpuConfig({ + gpuCount, + gpuDeviceId, + gpuDeviceIdError, + onGpuCountChange, + onGpuDeviceIdChange, +}: Props) { + const showDeviceId = gpuCount !== ""; + + return ( +
+
+ + onGpuCountChange(e.target.value.replace(/\D/g, ""))} + /> +
+ {showDeviceId && ( +
+ + onGpuDeviceIdChange(e.target.value)} + /> + {gpuDeviceIdError ? ( +

+ ⚠️ GPU device IDs are required when GPU count is a number +

+ ) : ( +

+ Single GPU: 0  |  Multiple GPUs: 0,1,2 +

+ )} +
+ )} +
+ ); +} diff --git a/docs/src/components/DockerComposeGenerator/components/OtherOptions.tsx b/docs/src/components/DockerComposeGenerator/components/OtherOptions.tsx new file mode 100644 index 0000000000..8d1efef0fc --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/components/OtherOptions.tsx @@ -0,0 +1,122 @@ +import React, { useMemo } from "react"; +import CodeInline from "@theme/CodeInline"; +import styles from "../styles.module.css"; + +const AUTO_TIMEZONE_VALUE = "__auto__"; + +function getTimezoneList(): string[] { + if (typeof Intl !== "undefined") { + const intl = Intl as typeof Intl & { + supportedValuesOf?: (key: string) => string[]; + }; + const supported = intl.supportedValuesOf?.("timeZone"); + if (supported && supported.length > 0) { + return [...supported].sort(); + } + } + + const fallback = Intl.DateTimeFormat().resolvedOptions().timeZone; + return fallback ? [fallback] : ["UTC"]; +} + +interface Props { + rtspPassword: string; + timezone: string; + shmSize: string; + shmSizeError: boolean; + onRtspPasswordChange: (value: string) => void; + onTimezoneChange: (value: string) => void; + onShmSizeChange: (value: string) => void; +} + +export default function OtherOptions({ + rtspPassword, + timezone, + shmSize, + shmSizeError, + onRtspPasswordChange, + onTimezoneChange, + onShmSizeChange, +}: Props) { + const timezones = useMemo(() => getTimezoneList(), []); + const systemTimezone = + Intl.DateTimeFormat().resolvedOptions().timeZone || "Etc/UTC"; + const selectedValue = timezone || AUTO_TIMEZONE_VALUE; + + return ( +
+

Other Options

+
+
+ + +
+
+ + onShmSizeChange(e.target.value)} + /> + {shmSizeError ? ( +

+ ⚠️ Invalid format. Use a number followed by a unit (e.g. 512mb, 1gb) +

+ ) : ( +

+ See{" "} + + calculating required SHM size + {" "} + for the correct value. +

+ )} +
+
+ + onRtspPasswordChange(e.target.value)} + /> +

+ Optional. You can specify{" "} + {"{FRIGATE_RTSP_PASSWORD}"}{" "} + in the config file to reference camera stream passwords. This is NOT + the Frigate login password. +

+
+
+
+ ); +} diff --git a/docs/src/components/DockerComposeGenerator/components/PortConfig.tsx b/docs/src/components/DockerComposeGenerator/components/PortConfig.tsx new file mode 100644 index 0000000000..c4e5acf713 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/components/PortConfig.tsx @@ -0,0 +1,71 @@ +import React from "react"; +import Admonition from "@theme/Admonition"; +import { ports } from "../config"; +import styles from "../styles.module.css"; + +interface Props { + portEnabled: Record; + onTogglePort: (portId: string) => void; +} + +function PortItem({ + port, + enabled, + onToggle, +}: { + port: typeof ports[number]; + enabled: boolean; + onToggle: () => void; +}) { + const showWarning = port.warningContent && ( + port.warningWhen === "checked" ? enabled : + port.warningWhen === "unchecked" ? !enabled : enabled + ); + + return ( +
+ + {port.description && ( +
{port.description}
+ )} + {showWarning && ( + + {port.warningContent} + + )} +
+ ); +} + +export default function PortConfigSection({ + portEnabled, + onTogglePort, +}: Props) { + return ( +
+

Port Configuration

+
+ {ports.map((port) => ( + onTogglePort(port.id)} + /> + ))} +
+
+ ); +} diff --git a/docs/src/components/DockerComposeGenerator/components/StoragePaths.tsx b/docs/src/components/DockerComposeGenerator/components/StoragePaths.tsx new file mode 100644 index 0000000000..1e20189cea --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/components/StoragePaths.tsx @@ -0,0 +1,66 @@ +import React from "react"; +import styles from "../styles.module.css"; + +interface Props { + configPath: string; + mediaPath: string; + configPathError: boolean; + mediaPathError: boolean; + onConfigPathChange: (value: string) => void; + onMediaPathChange: (value: string) => void; +} + +export default function StoragePaths({ + configPath, + mediaPath, + configPathError, + mediaPathError, + onConfigPathChange, + onMediaPathChange, +}: Props) { + return ( +
+

Storage Paths

+
+
+ + onConfigPathChange(e.target.value)} + /> + {configPathError && ( +

+ ⚠️ Path contains invalid characters. Only letters, numbers, + underscores, hyphens, slashes, and dots are allowed. +

+ )} +
+
+ + onMediaPathChange(e.target.value)} + /> + {mediaPathError && ( +

+ ⚠️ Path contains invalid characters. Only letters, numbers, + underscores, hyphens, slashes, and dots are allowed. +

+ )} +
+
+
+ ); +} diff --git a/docs/src/components/DockerComposeGenerator/config/config.yaml b/docs/src/components/DockerComposeGenerator/config/config.yaml new file mode 100644 index 0000000000..42199ffca1 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/config/config.yaml @@ -0,0 +1,297 @@ +# Unified configuration for Docker Compose Generator +# This file defines all devices, hardware options, and ports for Frigate Docker Compose generation + +devices: + - id: "stable" + name: "Standard x86_64" + description: "Generic PC / server" + icon: "💻" + imageTag: "stable" + autoHardware: [] + + - id: "intel" + name: "Intel Device" + description: "Intel GPU / NPU" + icon: '' + imageTag: "stable" + autoHardware: + - "gpu" + - "intelNpu" + helpText: "Intel Device automatically configures /dev/dri and /dev/accel device mappings." + helpType: "info" + + - id: "stable-tensorrt" + name: "NVIDIA GPU" + description: "NVIDIA acceleration" + icon: '' + svgStyle: + width: 50px + height: 50px + iconStyle: + padding-bottom: 15px + imageTag: "stable-tensorrt" + autoHardware: [] + helpText: "Requires the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker) to be installed. GPU deploy resources are configured automatically." + helpType: "warning" + needsNvidiaConfig: true + + - id: "stable-tensorrt-jp6" + name: "NVIDIA Jetson" + description: "Jetson development board" + icon: '' + svgStyle: + width: 50px + height: 50px + iconStyle: + padding-bottom: 15px + imageTag: "stable-tensorrt-jp6" + autoHardware: [] + helpText: "NVIDIA Jetson devices automatically configure runtime: nvidia." + helpType: "info" + runtime: "nvidia" + + - id: "stable-rocm" + name: "AMD GPU" + description: "ROCm acceleration" + icon: "https://www.amd.com/content/dam/code/images/header/amd-header-logo.svg" + iconStyle: + filter: invert(1) + background-repeat: no-repeat + background-position: right center + background-size: 338% 90% + iconDark: "https://www.amd.com/content/dam/code/images/header/amd-header-logo.svg" + iconDarkStyle: + filter: invert(0) + background-repeat: no-repeat + background-position: right center + background-size: 338% 90% + imageTag: "stable-rocm" + autoHardware: + - "gpu" + helpText: "AMD GPU automatically configures LIBVA_DRIVER_NAME environment variable and /dev/dri device mapping." + helpType: "info" + env: + LIBVA_DRIVER_NAME: "radeonsi" + + - id: "apple-silicon" + name: "Apple Silicon" + description: "Mac M-series processor" + icon: '' + svgStyle: + width: 90px + height: 90px + svgDarkStyle: + width: 90px + height: 90px + fill: white + imageTag: "stable" + imageTagSuffix: "-standard-arm64" + autoHardware: [] + helpText: "Apple Silicon (M-series) requires an [external detector](/configuration/object_detectors#apple-silicon-detector) running on the host." + helpType: "warning" + extraHosts: + - "host.docker.internal:host-gateway" + + - id: "raspberry-pi" + name: "Raspberry Pi" + description: "ARM device" + icon: '' + svgStyle: + width: 40px + height: 40px + transform: translateX(-3px) + imageTag: "stable" + imageTagSuffix: "-standard-arm64" + autoHardware: + - "video11" + helpText: "Raspberry Pi automatically configures the video11 device (RPi 4) and uses the arm64 image." + helpType: "info" + + - id: "stable-rk" + name: "Rockchip" + description: "Rockchip SoC board" + icon: "https://www.rock-chips.com/favicon.ico" + imageTag: "stable-rk" + autoHardware: + - "gpu" + helpText: "Rockchip devices automatically configure /dev/dri device mapping." + helpType: "info" + devices: + - host: "/dev/dma_heap" + comment: "Rockchip DMA heap" + - host: "/dev/rga" + comment: "Rockchip RGA" + - host: "/dev/mpp_service" + comment: "Rockchip MPP service" + volumes: + - host: "/sys/" + container: "/sys/" + readOnly: true + comment: "Rockchip system info" + securityOpt: + - "apparmor=unconfined" + - "systempaths=unconfined" + + - id: "stable-synaptics" + name: "Synaptics" + description: "Synaptics NPU" + icon: "🔷" + imageTag: "stable-synaptics" + autoHardware: [] + helpText: "Synaptics devices automatically configure /dev/synap and video devices." + helpType: "info" + devices: + - host: "/dev/synap" + comment: "Synaptics NPU" + - host: "/dev/video0" + comment: "Video device 0" + - host: "/dev/video1" + comment: "Video device 1" + +hardware: + - id: "usbCoral" + label: "USB Coral (TPU)" + description: "Enable this if you have a Google Coral USB TPU. Other Coral versions require different device paths." + disabledWhen: + - "apple-silicon" + - "stable-synaptics" + devices: + - host: "/dev/bus/usb" + container: "/dev/bus/usb" + comment: "USB Coral — modify for other versions" + + - id: "pcieCoral" + label: "PCIe Coral (TPU)" + description: "Enable this if you have a Google Coral PCIe/M.2 TPU. You also need to [install the driver](https://github.com/jnicolson/gasket-builder)." + disabledWhen: + - "apple-silicon" + - "stable-synaptics" + devices: + - host: "/dev/apex_0" + container: "/dev/apex_0" + comment: "PCIe Coral — follow driver instructions at https://github.com/jnicolson/gasket-builder" + + - id: "gpu" + label: "Intel/AMD GPU (/dev/dri)" + description: "Pass through /dev/dri for GPU hardware acceleration (Intel/AMD)." + disabledWhen: + - "stable-tensorrt-jp6" + - "apple-silicon" + devices: + - host: "/dev/dri" + container: "/dev/dri" + comment: "Intel/AMD GPU hardware acceleration" + + - id: "intelNpu" + label: "Intel NPU (/dev/accel)" + description: "Pass through /dev/accel for Intel NPU acceleration." + disabledWhen: + - "stable-tensorrt-jp6" + - "apple-silicon" + - "stable-rocm" + - "stable-rk" + - "stable-synaptics" + devices: + - host: "/dev/accel" + container: "/dev/accel" + comment: "Intel NPU" + + - id: "hailo" + label: "Hailo NPU (/dev/hailo0)" + description: "Pass through /dev/hailo0 for Hailo-8 / Hailo-8L NPU acceleration. You also need to [install the driver](#hailo-8)." + disabledWhen: + - "apple-silicon" + - "stable-synaptics" + devices: + - host: "/dev/hailo0" + comment: "Hailo NPU" + + - id: "memryx" + label: "MemryX MX3 (/dev/memx0)" + description: "Pass through /dev/memx0 for MemryX MX3 NPU acceleration. You also need to [install the driver](#memryx-mx3)." + disabledWhen: + - "apple-silicon" + - "stable-synaptics" + devices: + - host: "/dev/memx0" + comment: "MemryX MX3 NPU" + volumes: + - host: "/run/mxa_manager" + container: "/run/mxa_manager" + comment: "MemryX manager" + + - id: "axera" + label: "AXERA Accelerator" + description: "Pass through AXERA accelerator devices. Requires the [AXCL driver](#axera) to be installed first." + disabledWhen: + - "apple-silicon" + - "stable-synaptics" + devices: + - host: "/dev/axcl_host" + comment: "AXERA accelerator device" + - host: "/dev/ax_mmb_dev" + comment: "AXERA MMB device" + - host: "/dev/msg_userdev" + comment: "AXERA message device" + volumes: + - host: "/usr/bin/axcl" + container: "/usr/bin/axcl" + comment: "AXERA binaries" + - host: "/usr/lib/axcl" + container: "/usr/lib/axcl" + comment: "AXERA libraries" + + - id: "video11" + label: "Raspberry Pi (/dev/video11)" + description: "Pass through /dev/video11 for Raspberry Pi 4B hardware acceleration." + disabledWhen: + - "stable-tensorrt" + - "stable-tensorrt-jp6" + - "stable-rocm" + - "stable-rk" + - "stable-synaptics" + - "intel" + - "apple-silicon" + - "stable" + devices: + - host: "/dev/video11" + container: "/dev/video11" + comment: "Raspberry Pi 4B" + +ports: + - id: "8971" + host: 8971 + container: 8971 + protocol: "tcp" + description: "Authenticated UI and API access (default HTTPS)" + defaultEnabled: true + warningContent: "This is the access port for Frigate. Closing it means you will no longer be able to access the instance." + warningWhen: "unchecked" + + - id: "8554" + host: 8554 + container: 8554 + protocol: "tcp" + description: "Access RTSP feeds from go2rtc" + defaultEnabled: true + + - id: "8555-tcp" + host: 8555 + container: 8555 + protocol: "tcp" + description: "WebRTC over TCP" + defaultEnabled: true + + - id: "8555-udp" + host: 8555 + container: 8555 + protocol: "udp" + description: "WebRTC over UDP" + defaultEnabled: true + + - id: "1984" + host: 1984 + container: 1984 + protocol: "tcp" + description: "Go2RTC Web UI" + defaultEnabled: false diff --git a/docs/src/components/DockerComposeGenerator/config/index.ts b/docs/src/components/DockerComposeGenerator/config/index.ts new file mode 100644 index 0000000000..5acaba9f1b --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/config/index.ts @@ -0,0 +1,12 @@ +export { devices, deviceMap } from "./devices"; +export { hardwareOptions, hardwareMap } from "./hardware"; +export { ports, portMap } from "./ports"; + +export type { + DeviceConfig, + DeviceMapping, + VolumeMapping, + HardwareOption, + PortConfig, + NvidiaDeployConfig, +} from "./types"; diff --git a/docs/src/components/DockerComposeGenerator/config/types.ts b/docs/src/components/DockerComposeGenerator/config/types.ts new file mode 100644 index 0000000000..87bcb608dd --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/config/types.ts @@ -0,0 +1,154 @@ +/** + * Type definitions for the Docker Compose Generator configuration. + * All device, hardware, and port options are declaratively defined + * so that adding a new device only requires editing config files. + */ + +/** A single device mapping entry (e.g. /dev/dri:/dev/dri) */ +export interface DeviceMapping { + /** Host device path */ + host: string; + /** Container device path (defaults to host if omitted) */ + container?: string; + /** Inline comment for this device line */ + comment?: string; +} + +/** A single volume mapping entry */ +export interface VolumeMapping { + /** Host path */ + host: string; + /** Container path */ + container: string; + /** Whether the mount is read-only */ + readOnly?: boolean; + /** Inline comment */ + comment?: string; +} + +/** NVIDIA deploy configuration for docker-compose */ +export interface NvidiaDeployConfig { + /** "all" or a specific number */ + count: string; + /** Specific GPU device IDs (when count is a number) */ + deviceIds?: string[]; +} + +/** Full device type definition */ +export interface DeviceConfig { + /** Unique identifier, e.g. "intel" */ + id: string; + /** Display name, e.g. "Intel GPU" */ + name: string; + /** Short description */ + description: string; + /** + * Icon for the device card. Supports: + * - Emoji string (e.g. "🖥️") + * - Image URL or static path (e.g. "/img/intel.svg", "https://example.com/icon.png") + * - Inline SVG markup (e.g. "...") + */ + icon: string; + /** + * Additional CSS properties applied to the icon element. + * - For image-type icons: if any `background-*` property (e.g. `background-size`, + * `background-position`) is present, the image is rendered as a CSS `background-image` + * on the container div, enabling full background positioning control. + * Otherwise the image is rendered as an `` tag and styles apply to it. + * - For emoji/SVG icons: styles apply to the container div. + */ + iconStyle?: Record; + /** + * Additional CSS properties applied directly to the inner `` element + * when the icon is an inline SVG. Use this to override the default + * `width: 100%; height: 100%` or set `fill`, `transform`, etc. + * Ignored for emoji and image-type icons. + */ + svgStyle?: Record; + /** + * Icon for dark mode. Same format as `icon`. When provided, this icon + * replaces `icon` when the user is in dark mode. + */ + iconDark?: string; + /** Additional CSS properties for the dark mode icon container */ + iconDarkStyle?: Record; + /** + * SVG-specific styles for dark mode. Same as `svgStyle` but applied + * when dark mode is active. Merged over `svgStyle` in dark mode. + */ + svgDarkStyle?: Record; + /** Docker image tag, e.g. "stable" */ + imageTag: string; + /** + * Image tag suffix appended to the base tag. + * e.g. "-standard-arm64" produces "stable-standard-arm64" + */ + imageTagSuffix?: string; + /** Hardware option IDs to auto-enable when this device is selected */ + autoHardware: string[]; + /** Help text shown as an admonition when this device is selected */ + helpText?: string; + /** Admonition type for help text */ + helpType?: "info" | "warning" | "danger"; + /** Device mappings always added for this device type */ + devices?: DeviceMapping[]; + /** Volume mappings always added for this device type */ + volumes?: VolumeMapping[]; + /** Extra environment variables for this device type */ + env?: Record; + /** NVIDIA deploy config (only for tensorrt) */ + nvidiaDeploy?: NvidiaDeployConfig; + /** Runtime setting, e.g. "nvidia" for Jetson */ + runtime?: string; + /** Extra hosts entries, e.g. "host.docker.internal:host-gateway" */ + extraHosts?: string[]; + /** Security options, e.g. ["apparmor=unconfined"] */ + securityOpt?: string[]; + /** Whether this device type needs the NVIDIA GPU config UI */ + needsNvidiaConfig?: boolean; +} + +/** Generic hardware acceleration option definition */ +export interface HardwareOption { + /** Unique identifier, e.g. "usbCoral" */ + id: string; + /** Display label */ + label: string; + /** + * Description shown below the checkbox when this option is enabled. + * Supports markdown link syntax: [text](url) + */ + description?: string; + /** Device IDs that disable this option */ + disabledWhen?: string[]; + /** Device mappings added when this option is enabled */ + devices?: DeviceMapping[]; + /** Volume mappings added when this option is enabled */ + volumes?: VolumeMapping[]; + /** Extra environment variables */ + env?: Record; +} + +/** Port definition */ +export interface PortConfig { + /** Unique identifier (also the default host port as string) */ + id: string; + /** Host port number */ + host: number; + /** Container port number */ + container: number; + /** Protocol */ + protocol?: "tcp" | "udp"; + /** Description of the port's purpose */ + description: string; + /** Whether enabled by default */ + defaultEnabled: boolean; + /** Whether this port is locked (always enabled, cannot be toggled off) */ + locked?: boolean; + /** Admonition type for the warning */ + warningType?: "warning" | "danger"; + /** Warning content (markdown) */ + warningContent?: string; + /** When to show the warning: when the port is checked or unchecked */ + warningWhen?: "checked" | "unchecked"; +} diff --git a/docs/src/components/DockerComposeGenerator/generator/index.ts b/docs/src/components/DockerComposeGenerator/generator/index.ts new file mode 100644 index 0000000000..f6091f7c01 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/generator/index.ts @@ -0,0 +1,250 @@ +import type { + DeviceConfig, + DeviceMapping, + VolumeMapping, +} from "../config/types"; +import { hardwareMap } from "../config"; + +// --------------------------------------------------------------------------- +// Input type +// --------------------------------------------------------------------------- + +export interface GeneratorInput { + device: DeviceConfig; + selectedHardware: string[]; + enabledPorts: string[]; + configPath: string; + mediaPath: string; + rtspPassword?: string; + timezone: string; + shmSize: string; + nvidiaGpuCount?: string; + nvidiaGpuDeviceId?: string; +} + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +function deviceLine(dm: DeviceMapping): string { + const host = dm.host; + const container = dm.container ?? dm.host; + const mapping = host === container ? host : `${host}:${container}`; + const comment = dm.comment ? ` # ${dm.comment}` : ""; + return ` - ${mapping}${comment}`; +} + +function volumeLine(vm: VolumeMapping): string { + const ro = vm.readOnly ? ":ro" : ""; + const comment = vm.comment ? ` # ${vm.comment}` : ""; + return ` - ${vm.host}:${vm.container}${ro}${comment}`; +} + +// --------------------------------------------------------------------------- +// YAML builder — each section returns an array of lines +// --------------------------------------------------------------------------- + +function buildImage(device: DeviceConfig): string[] { + const tag = device.imageTagSuffix + ? `${device.imageTag}${device.imageTagSuffix}` + : device.imageTag; + return [` image: ghcr.io/blakeblackshear/frigate:${tag}`]; +} + +function buildDevices( + device: DeviceConfig, + hwDevices: DeviceMapping[] +): string[] { + const all: DeviceMapping[] = [ + ...(device.devices ?? []), + ...hwDevices, + ]; + if (all.length === 0) return []; + return [ + " devices:", + ...all.map(deviceLine), + ]; +} + +function buildVolumes( + device: DeviceConfig, + hwVolumes: VolumeMapping[], + configPath: string, + mediaPath: string +): string[] { + const all: VolumeMapping[] = [ + ...(device.volumes ?? []), + ...hwVolumes, + ]; + return [ + " volumes:", + " - /etc/localtime:/etc/localtime:ro # Sync host time", + ` - ${configPath}:/config # Config file directory`, + ` - ${mediaPath}:/media/frigate # Recording storage directory`, + " - type: tmpfs # 1GB in-memory filesystem for recording segment storage", + " target: /tmp/cache", + " tmpfs:", + " size: 1000000000", + ...all.map(volumeLine), + ]; +} + +function buildPorts(enabledPorts: string[]): string[] { + return [ + " ports:", + ...enabledPorts, + ]; +} + +function buildEnvironment( + device: DeviceConfig, + hwEnv: Record, + rtspPassword: string | undefined, + timezone: string +): string[] { + const allEnv: Record = { + ...hwEnv, + ...(device.env ?? {}), + }; + + const lines: string[] = [" environment:"]; + + if (rtspPassword) { + lines.push( + ` FRIGATE_RTSP_PASSWORD: "${rtspPassword}" # RTSP password — change to your own` + ); + } + + lines.push(` TZ: "${timezone}" # Timezone`); + + for (const [key, value] of Object.entries(allEnv)) { + lines.push(` ${key}: "${value}"`); + } + + return lines; +} + +function buildDeploy(device: DeviceConfig, input: GeneratorInput): string[] { + if (device.id === "stable-tensorrt") { + const count = input.nvidiaGpuCount || "all"; + const isAll = count === "all"; + const deviceId = input.nvidiaGpuDeviceId?.trim(); + + if (isAll) { + return [ + " deploy:", + " resources:", + " reservations:", + " devices:", + " - driver: nvidia", + " count: all # Use all GPUs", + " capabilities: [gpu]", + ]; + } + + if (deviceId) { + const ids = deviceId + .split(",") + .map((s) => s.trim()) + .filter(Boolean) + .map((s) => `'${s}'`) + .join(", "); + return [ + " deploy:", + " resources:", + " reservations:", + " devices:", + " - driver: nvidia", + ` device_ids: [${ids}] # GPU device IDs`, + ` count: ${count} # GPU count`, + " capabilities: [gpu]", + ]; + } + + return [ + " deploy:", + " resources:", + " reservations:", + " devices:", + " - driver: nvidia", + ` count: ${count} # GPU count`, + " capabilities: [gpu]", + ]; + } + + return []; +} + +function buildRuntime(device: DeviceConfig): string[] { + if (device.runtime) { + return [` runtime: ${device.runtime}`]; + } + return []; +} + +function buildExtraHosts(device: DeviceConfig): string[] { + if (!device.extraHosts?.length) return []; + return [ + " extra_hosts:", + ...device.extraHosts.map( + (h, i) => + ` - "${h}"${i === 0 ? " # Required to talk to the NPU detector" : ""}` + ), + ]; +} + +function buildSecurityOpt(device: DeviceConfig): string[] { + if (!device.securityOpt?.length) return []; + return [ + " security_opt:", + ...device.securityOpt.map((s) => ` - ${s}`), + ]; +} + +// --------------------------------------------------------------------------- +// Public API +// --------------------------------------------------------------------------- + +/** + * Generate a docker-compose YAML string from the given input. + * The output is pure YAML with inline comments (no Shiki annotations). + */ +export function generateDockerCompose(input: GeneratorInput): string { + const { device } = input; + + // Collect hardware-level devices, volumes, and env + const hwDevices: DeviceMapping[] = []; + const hwVolumes: VolumeMapping[] = []; + const hwEnv: Record = {}; + + for (const hwId of input.selectedHardware) { + const hw = hardwareMap.get(hwId); + if (!hw) continue; + // Skip GPU device mapping for tensorrt images (it uses deploy instead) + if (hw.id === "gpu" && device.imageTag === "stable-tensorrt") continue; + hwDevices.push(...(hw.devices ?? [])); + hwVolumes.push(...(hw.volumes ?? [])); + Object.assign(hwEnv, hw.env ?? {}); + } + + const lines: string[] = [ + "services:", + " frigate:", + " container_name: frigate", + " privileged: true # This may not be necessary for all setups", + " restart: unless-stopped", + " stop_grace_period: 30s # Allow enough time to shut down the various services", + ...buildImage(device), + ` shm_size: "${input.shmSize || "512mb"}" # Update for your cameras based on SHM calculation`, + ...buildRuntime(device), + ...buildDeploy(device, input), + ...buildExtraHosts(device), + ...buildSecurityOpt(device), + ...buildDevices(device, hwDevices), + ...buildVolumes(device, hwVolumes, input.configPath, input.mediaPath), + ...buildPorts(input.enabledPorts), + ...buildEnvironment(device, hwEnv, input.rtspPassword, input.timezone), + ]; + + return lines.join("\n"); +} diff --git a/docs/src/components/DockerComposeGenerator/hooks/useConfigGenerator.ts b/docs/src/components/DockerComposeGenerator/hooks/useConfigGenerator.ts new file mode 100644 index 0000000000..19c3976d8d --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/hooks/useConfigGenerator.ts @@ -0,0 +1,195 @@ +import { useState, useCallback, useMemo } from "react"; +import { deviceMap, hardwareMap, portMap } from "../config"; +import { generateDockerCompose } from "../generator"; +import type { GeneratorInput } from "../generator"; + +/** + * Main hook that holds all form state and generates the Docker Compose output. + * Configuration is loaded synchronously from build-time generated .ts files. + */ +export function useConfigGenerator() { + const [deviceId, setDeviceId] = useState("stable"); + + const [hardwareEnabled, setHardwareEnabled] = useState>(() => { + const defaultDevice = deviceMap.get("stable"); + const initial: Record = {}; + if (defaultDevice) { + for (const hwId of defaultDevice.autoHardware) { + initial[hwId] = true; + } + } + return initial; + }); + + const [portEnabled, setPortEnabled] = useState>(() => { + const initial: Record = {}; + for (const p of portMap.values()) { + initial[p.id] = p.defaultEnabled; + } + return initial; + }); + + const [nvidiaGpuCount, setNvidiaGpuCount] = useState(""); + const [nvidiaGpuDeviceId, setNvidiaGpuDeviceId] = useState(""); + const [configPath, setConfigPath] = useState(""); + const [mediaPath, setMediaPath] = useState(""); + const [rtspPassword, setRtspPassword] = useState(""); + const [timezone, setTimezone] = useState(""); + const [shmSize, setShmSize] = useState("512mb"); + const [shmSizeError, setShmSizeError] = useState(false); + const [gpuDeviceIdError, setGpuDeviceIdError] = useState(false); + const [configPathError, setConfigPathError] = useState(false); + const [mediaPathError, setMediaPathError] = useState(false); + + const device = useMemo(() => deviceMap.get(deviceId)!, [deviceId]); + + const selectDevice = useCallback((id: string) => { + const newDevice = deviceMap.get(id); + if (!newDevice) return; + setDeviceId(id); + setHardwareEnabled(() => { + const next: Record = {}; + for (const hwId of newDevice.autoHardware) { + next[hwId] = true; + } + return next; + }); + setNvidiaGpuCount(""); + setNvidiaGpuDeviceId(""); + setGpuDeviceIdError(false); + }, []); + + const toggleHardware = useCallback((hwId: string) => { + setHardwareEnabled((prev) => ({ ...prev, [hwId]: !prev[hwId] })); + }, []); + + const togglePort = useCallback((portId: string) => { + const port = portMap.get(portId); + if (port?.locked) return; + setPortEnabled((prev) => ({ ...prev, [portId]: !prev[portId] })); + }, []); + + const isHardwareDisabled = useCallback( + (hwId: string): boolean => { + const hw = hardwareMap.get(hwId); + if (!hw) return false; + return hw.disabledWhen?.includes(deviceId) ?? false; + }, + [deviceId] + ); + + const validateShmSize = useCallback((value: string): boolean => { + if (!value) return true; + return /^\d+(\.\d+)?[bkmgBKMG]{1,2}$/.test(value); + }, []); + + const validatePath = useCallback((value: string): boolean => { + if (!value) return true; + return /^[a-zA-Z0-9_\-/./]+$/.test(value); + }, []); + + const handleShmSizeChange = useCallback( + (value: string) => { + const filtered = value.replace(/[^0-9.bkmgBKMG]/g, ""); + const valid = validateShmSize(filtered); + setShmSize(filtered); + setShmSizeError(!valid && filtered !== ""); + }, + [validateShmSize] + ); + + const handleConfigPathChange = useCallback( + (value: string) => { + const filtered = value.replace(/[^a-zA-Z0-9_\-/./]/g, ""); + const valid = validatePath(filtered); + setConfigPath(filtered); + setConfigPathError(!valid && filtered !== ""); + }, + [validatePath] + ); + + const handleMediaPathChange = useCallback( + (value: string) => { + const filtered = value.replace(/[^a-zA-Z0-9_\-/./]/g, ""); + const valid = validatePath(filtered); + setMediaPath(filtered); + setMediaPathError(!valid && filtered !== ""); + }, + [validatePath] + ); + + const handleNvidiaGpuCountChange = useCallback((value: string) => { + // Only allow digits + setNvidiaGpuCount(value); + if (value === "") { + setNvidiaGpuDeviceId(""); + setGpuDeviceIdError(false); + } else { + setGpuDeviceIdError(false); + } + }, []); + + const handleNvidiaGpuDeviceIdChange = useCallback((value: string) => { + setNvidiaGpuDeviceId(value.trim()); + setGpuDeviceIdError(false); + }, []); + + const enabledPortLines = useMemo(() => { + const lines: string[] = []; + for (const [id, enabled] of Object.entries(portEnabled)) { + if (!enabled) continue; + const p = portMap.get(id); + if (!p) continue; + const proto = p.protocol && p.protocol !== "tcp" ? `/${p.protocol}` : ""; + const comment = p.description ? ` # ${p.description}` : ""; + lines.push(` - "${p.host}:${p.container}${proto}"${comment}`); + } + return lines; + }, [portEnabled]); + + const selectedHardwareIds = useMemo(() => { + return Object.entries(hardwareEnabled) + .filter(([id, enabled]) => { + if (!enabled) return false; + const hw = hardwareMap.get(id); + if (!hw) return false; + if (hw.disabledWhen?.includes(deviceId)) return false; + return true; + }) + .map(([id]) => id); + }, [hardwareEnabled, deviceId]); + + const generatedYaml = useMemo(() => { + const input: GeneratorInput = { + device, + selectedHardware: selectedHardwareIds, + enabledPorts: enabledPortLines, + configPath: configPath || "/path/to/your/config", + mediaPath: mediaPath || "/path/to/your/storage", + rtspPassword, + timezone: timezone || Intl.DateTimeFormat().resolvedOptions().timeZone || "Etc/UTC", + shmSize: shmSize || "512mb", + nvidiaGpuCount, + nvidiaGpuDeviceId, + }; + return generateDockerCompose(input); + }, [ + device, selectedHardwareIds, enabledPortLines, + configPath, mediaPath, rtspPassword, timezone, shmSize, + nvidiaGpuCount, nvidiaGpuDeviceId, + ]); + + const hasAnyHardware = selectedHardwareIds.length > 0 || !!device?.devices?.length; + + return { + deviceId, device, hardwareEnabled, portEnabled, + nvidiaGpuCount, nvidiaGpuDeviceId, + configPath, mediaPath, rtspPassword, timezone, shmSize, + shmSizeError, gpuDeviceIdError, configPathError, mediaPathError, + hasAnyHardware, generatedYaml, + selectDevice, toggleHardware, togglePort, + handleShmSizeChange, handleConfigPathChange, handleMediaPathChange, + handleNvidiaGpuCountChange, handleNvidiaGpuDeviceIdChange, + setRtspPassword, setTimezone, isHardwareDisabled, + }; +} diff --git a/docs/src/components/DockerComposeGenerator/index.ts b/docs/src/components/DockerComposeGenerator/index.ts new file mode 100644 index 0000000000..76dd587560 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/index.ts @@ -0,0 +1 @@ +export { default } from "./DockerComposeGenerator"; diff --git a/docs/src/components/DockerComposeGenerator/styles.module.css b/docs/src/components/DockerComposeGenerator/styles.module.css new file mode 100644 index 0000000000..d2e1b62dd8 --- /dev/null +++ b/docs/src/components/DockerComposeGenerator/styles.module.css @@ -0,0 +1,381 @@ +/* =================================================================== + Docker Compose Generator — styles + Uses Docusaurus / Infima CSS variables for theme compatibility. + =================================================================== */ + +.generator { + margin: 2rem 0; +} + +.card { + background: var(--ifm-background-surface-color); + border: 1px solid var(--ifm-color-emphasis-400); + border-radius: 12px; + padding: 2rem; + box-shadow: var(--ifm-global-shadow-lw); +} + +[data-theme="light"] .card { + background: var(--ifm-color-emphasis-100); + border: 1px solid var(--ifm-color-emphasis-300); +} + +/* --- Form sections --- */ + +.formSection { + margin-bottom: 1.5rem; + padding-bottom: 1.5rem; + border-bottom: 1px solid var(--ifm-color-emphasis-400); +} + +.formSection:last-child { + border-bottom: none; + margin-bottom: 0; + padding-bottom: 0; +} + +.formSection h4 { + margin: 0 0 1rem 0; + color: var(--ifm-font-color-base); + font-size: 1.1rem; + font-weight: var(--ifm-font-weight-semibold); +} + +/* --- Form controls --- */ + +.formGroup { + margin-bottom: 1rem; +} + +.formGroup:last-child { + margin-bottom: 0; +} + +.label { + display: block; + margin-bottom: 0.25rem; + color: var(--ifm-font-color-base); + font-weight: var(--ifm-font-weight-semibold); + font-size: 0.9rem; +} + +.input { + width: 100%; + padding: 0.5rem 0.75rem; + border: 1px solid var(--ifm-color-emphasis-400); + border-radius: 6px; + background: var(--ifm-background-color); + color: var(--ifm-font-color-base); + font-size: 0.95rem; + transition: border-color 0.2s, box-shadow 0.2s; +} + +[data-theme="light"] .input { + background: #fff; + border: 1px solid #d0d7de; +} + +.input:focus { + outline: none; + border-color: var(--ifm-color-primary); + box-shadow: 0 0 0 3px var(--ifm-color-primary-lightest); +} + +[data-theme="dark"] .input { + border-color: var(--ifm-color-emphasis-300); +} + +.inputError { + border-color: #e74c3c; + animation: shake 0.3s ease-in-out; +} + +@keyframes shake { + 0%, + 100% { + transform: translateX(0); + } + 25% { + transform: translateX(-5px); + } + 75% { + transform: translateX(5px); + } +} + +/* --- Select dropdown --- */ + +.select { + cursor: pointer; + appearance: none; + -moz-appearance: none; + -webkit-appearance: none; + background: var(--ifm-background-color) + url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='12' height='12' viewBox='0 0 12 12'%3E%3Cpath fill='%23666' d='M6 8L1 3h10z'/%3E%3C/svg%3E") + no-repeat right 0.75rem center / 12px 12px; + padding-right: 2rem; +} + +[data-theme="light"] .select { + background: #fff + url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='12' height='12' viewBox='0 0 12 12'%3E%3Cpath fill='%23555' d='M6 8L1 3h10z'/%3E%3C/svg%3E") + no-repeat right 0.75rem center / 12px 12px; +} + +.helpText { + margin: 0.5rem 0 0 0; + font-size: 0.85rem; + color: var(--ifm-font-color-secondary); + line-height: 1.5; +} + +.helpText a { + color: var(--ifm-color-primary); +} + +/* --- Device grid --- */ + +.deviceGrid { + display: grid; + grid-template-columns: repeat(auto-fill, minmax(130px, 1fr)); + gap: 0.75rem; + margin-top: 0.5rem; +} + +.deviceCard { + padding: 0.75rem; + border: 2px solid var(--ifm-color-emphasis-400); + border-radius: 12px; + cursor: pointer; + transition: all 0.2s; + text-align: center; + background: var(--ifm-background-color); + display: flex; + flex-direction: column; + align-items: center; +} + +[data-theme="light"] .deviceCard { + border: 2px solid #d0d7de; + background: #fff; +} + +.deviceCard:hover { + border-color: var(--ifm-color-primary); + background: var(--ifm-color-emphasis-100); + transform: translateY(-2px); +} + +.deviceCardActive { + border-color: var(--ifm-color-primary); + background: var(--ifm-color-primary-lightest); + box-shadow: 0 0 0 1px var(--ifm-color-primary); +} + +[data-theme="light"] .deviceCardActive { + background: color-mix(in srgb, var(--ifm-color-primary) 12%, #fff); +} + +[data-theme="dark"] .deviceCardActive { + background: color-mix(in srgb, var(--ifm-color-primary) 25%, #1b1b1b); +} + +[data-theme="dark"] .deviceCardActive .deviceName { + color: var(--ifm-color-primary-light); +} + +[data-theme="dark"] .deviceCardActive .deviceDesc { + color: var(--ifm-color-primary-light); + opacity: 0.85; +} + +.deviceIcon { + font-size: 2rem; + margin-bottom: 0.25rem; + height: 40px; + width: 50px; + display: flex; + align-items: center; + justify-content: center; +} + +.deviceIconSvg { + margin-bottom: 0.25rem; + height: 40px; + width: 50px; + display: flex; + align-items: center; + justify-content: center; + overflow: visible; + /* Allow iconStyle width/height to override */ + flex-shrink: 0; +} + +.deviceIconSvg svg { + width: var(--svg-width, 100%); + height: var(--svg-height, 100%); + fill: var(--svg-fill, currentColor); + transform: var(--svg-transform, none); +} + +.deviceIconImage { + margin-bottom: 0.25rem; + height: 40px; + width: 50px; + display: flex; + align-items: center; + justify-content: center; +} + +.deviceIconImage img { + max-width: 100%; + max-height: 100%; + object-fit: contain; +} + +.deviceName { + font-weight: var(--ifm-font-weight-semibold); + color: var(--ifm-font-color-base); + margin-bottom: 0.15rem; + font-size: 0.9rem; +} + +.deviceDesc { + font-size: 0.75rem; + color: var(--ifm-font-color-secondary); + line-height: 1.3; +} + +/* --- Checkbox grid --- */ + +.checkboxGrid { + display: grid; + grid-template-columns: repeat(2, 1fr); + gap: 0.5rem; +} + +@media (max-width: 576px) { + .checkboxGrid { + grid-template-columns: 1fr; + } +} + +.hardwareItem { + margin-bottom: 0; +} + +.hardwareDescription { + margin: 0.15rem 0 0.4rem 1.6rem; + font-size: 0.8rem; + color: var(--ifm-font-color-secondary); + line-height: 1.5; +} + +.hardwareDescription a { + color: var(--ifm-color-primary); + text-decoration: underline; + text-underline-offset: 2px; +} + +.checkboxLabel { + display: flex; + align-items: center; + gap: 0.5rem; + cursor: pointer; + padding: 0.4rem 0.5rem; + border-radius: 6px; + transition: background-color 0.2s; + font-size: 0.9rem; +} + +.checkboxLabel:hover { + background: var(--ifm-color-emphasis-100); +} + +.checkboxLabel input[type="checkbox"] { + width: 1.1rem; + height: 1.1rem; + cursor: pointer; + flex-shrink: 0; +} + +.checkboxLabel span { + color: var(--ifm-font-color-base); +} + +.checkboxDisabled { + cursor: not-allowed; +} + +.checkboxDisabled:hover { + background: transparent; +} + +.checkboxDisabled input[type="checkbox"] { + cursor: not-allowed; + opacity: 0.5; +} + +/* --- Form grid (side-by-side) --- */ + +.formGrid { + display: grid; + grid-template-columns: repeat(2, 1fr); + gap: 1rem; +} + +@media (max-width: 576px) { + .formGrid { + grid-template-columns: 1fr; + } +} + +.formGrid .formGroup { + margin-bottom: 0; +} + +/* --- Port section --- */ + +.portSection { + margin-bottom: 0.75rem; +} + +.warningBadge { + margin-left: auto; + color: #e67e22; + font-size: 0.85rem; +} + +/* --- NVIDIA config --- */ + +.nvidiaConfig { + margin-top: 1rem; + margin-bottom: 1.5rem; + padding: 1rem; + background: var(--ifm-background-color); + border-radius: 8px; + border-left: 3px solid var(--ifm-color-primary); +} + +[data-theme="light"] .nvidiaConfig { + background: #f6f8fa; + border-left: 3px solid var(--ifm-color-primary); +} + +/* --- Result section --- */ + +.resultSection { + margin-top: 2rem; +} + +.resultHeader { + display: flex; + justify-content: space-between; + align-items: center; + margin-bottom: 1rem; +} + +.resultHeader h4 { + margin: 0; + color: var(--ifm-font-color-base); +} diff --git a/docs/static/frigate-api.yaml b/docs/static/frigate-api.yaml index 60621ff4e9..605eff92c3 100644 --- a/docs/static/frigate-api.yaml +++ b/docs/static/frigate-api.yaml @@ -2058,6 +2058,47 @@ paths: application/json: schema: $ref: "#/components/schemas/HTTPValidationError" + /genai/models: + get: + tags: + - App + summary: List available GenAI models + description: Returns available models for each configured GenAI provider. + operationId: genai_models_genai_models_get + responses: + "200": + description: Successful Response + content: + application/json: + schema: {} + /genai/probe: + post: + tags: + - App + summary: Probe a GenAI provider without saving config + description: >- + Builds a transient client from the request body and returns its + available models. Used to validate provider credentials in the UI + before saving the configuration. Requires admin role. + operationId: genai_probe_genai_probe_post + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/GenAIProbeBody" + responses: + "200": + description: Successful Response + content: + application/json: + schema: {} + "422": + description: Validation Error + content: + application/json: + schema: + $ref: "#/components/schemas/HTTPValidationError" /vainfo: get: tags: @@ -5997,7 +6038,10 @@ paths: tags: - App summary: Start debug replay - description: Start a debug replay session from camera recordings. + description: + Start a debug replay session from camera recordings. Returns + immediately while clip generation runs as a background job; subscribe + to the 'debug_replay' job_state WS topic to track progress. operationId: start_debug_replay_debug_replay_start_post requestBody: required: true @@ -6006,12 +6050,16 @@ paths: schema: $ref: "#/components/schemas/DebugReplayStartBody" responses: - "200": + "202": description: Successful Response content: application/json: schema: $ref: "#/components/schemas/DebugReplayStartResponse" + "400": + description: Invalid camera, time range, or no recordings + "409": + description: A replay session is already active "422": description: Validation Error content: @@ -6272,10 +6320,14 @@ components: replay_camera: type: string title: Replay Camera + job_id: + type: string + title: Job Id type: object required: - success - replay_camera + - job_id title: DebugReplayStartResponse description: Response for starting a debug replay session. DebugReplayStatusResponse: @@ -7020,6 +7072,39 @@ components: "john_doe": ["face1.webp", "face2.jpg"], "jane_smith": ["face3.png"] } + GenAIProbeBody: + properties: + provider: + type: string + enum: + - openai + - azure_openai + - gemini + - ollama + - llamacpp + title: Provider + description: GenAI provider to probe + api_key: + anyOf: + - type: string + - type: "null" + title: API Key + description: API key for the provider (when applicable) + base_url: + anyOf: + - type: string + - type: "null" + title: Base URL + description: Base URL for self-hosted or compatible providers + provider_options: + type: object + title: Provider Options + description: Additional provider-specific options + default: {} + type: object + required: + - provider + title: GenAIProbeBody GenerateObjectExamplesBody: properties: model_name: diff --git a/frigate/api/app.py b/frigate/api/app.py index 57d1f0a799..179c7fb90a 100644 --- a/frigate/api/app.py +++ b/frigate/api/app.py @@ -34,15 +34,18 @@ from frigate.api.defs.query.app_query_parameters import AppTimelineHourlyQueryParameters from frigate.api.defs.request.app_body import ( AppConfigSetBody, + GenAIProbeBody, MediaSyncBody, ) from frigate.api.defs.tags import Tags -from frigate.config import FrigateConfig +from frigate.config import FrigateConfig, GenAIConfig, GenAIProviderEnum from frigate.config.camera.updater import ( CameraConfigUpdateEnum, CameraConfigUpdateTopic, ) +from frigate.const import REDACTED_CREDENTIAL_SENTINEL from frigate.ffmpeg_presets import FFMPEG_HWACCEL_VAAPI, _gpu_selector +from frigate.genai import PROVIDERS, load_providers from frigate.jobs.media_sync import ( get_current_media_sync_job, get_media_sync_job_by_id, @@ -59,7 +62,11 @@ process_config_query_string, update_yaml_file_bulk, ) -from frigate.util.config import apply_section_update, find_config_file +from frigate.util.config import ( + apply_section_update, + find_config_file, + redact_credential, +) from frigate.util.schema import get_config_schema from frigate.util.services import ( get_nvidia_driver_info, @@ -75,6 +82,14 @@ router = APIRouter(tags=[Tags.app]) +# Short timeout for the /genai/probe path. The probe is interactive — fail +# fast on hung providers rather than holding an API worker thread. +_PROBE_TIMEOUT_SECONDS = 10 +# Outer cap that returns control to the caller even if the underlying sync +# HTTP call ignores its timeout. The sync work continues in the background +# thread; only the response is bounded. +_PROBE_OUTER_TIMEOUT_SECONDS = 15 + @router.get( "/", response_class=PlainTextResponse, dependencies=[Depends(allow_public())] @@ -96,11 +111,46 @@ def version(): @router.get("/stats", dependencies=[Depends(allow_any_authenticated())]) -def stats(request: Request): - return JSONResponse(content=request.app.stats_emitter.get_latest_stats()) +def stats( + request: Request, + allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter), +): + stats_data = request.app.stats_emitter.get_latest_stats() + + # Admins see the full snapshot + if request.headers.get("remote-role") == "admin": + return JSONResponse(content=stats_data) + + allowed_set = set(allowed_cameras) + # Shallow-copy so we don't mutate the cached stats history entry. + filtered = {**stats_data} + + cameras = stats_data.get("cameras") + if cameras is not None: + filtered["cameras"] = { + name: data for name, data in cameras.items() if name in allowed_set + } + + bandwidth = stats_data.get("bandwidth_usages") + if bandwidth is not None: + filtered["bandwidth_usages"] = { + name: data for name, data in bandwidth.items() if name in allowed_set + } + + # cmdline can leak camera URLs/paths; strip but keep cpu/mem so + # client-side problem heuristics still work. + cpu_usages = stats_data.get("cpu_usages") + if cpu_usages is not None: + filtered["cpu_usages"] = { + pid: {k: v for k, v in usage.items() if k != "cmdline"} + for pid, usage in cpu_usages.items() + } -@router.get("/stats/history", dependencies=[Depends(allow_any_authenticated())]) + return JSONResponse(content=filtered) + + +@router.get("/stats/history", dependencies=[Depends(require_role(["admin"]))]) def stats_history(request: Request, keys: str = None): if keys: keys = keys.split(",") @@ -135,6 +185,95 @@ def genai_models(request: Request): return JSONResponse(content=request.app.genai_manager.list_models()) +@router.post( + "/genai/probe", + dependencies=[Depends(require_role(["admin"]))], + summary="Probe a GenAI provider without saving config", + description=( + "Builds a transient client from the request body and returns its " + "available models. Used to validate provider credentials in the UI " + "before saving the configuration." + ), +) +async def genai_probe(body: GenAIProbeBody): + load_providers() + + provider_cls = PROVIDERS.get(body.provider) + if not provider_cls: + return JSONResponse( + status_code=400, + content={"success": False, "message": "Unknown provider"}, + ) + + # The OpenAI-compatible SDKs accept "timeout" as a constructor kwarg via + # provider_options; other plugins use GenAIClient.timeout passed below. + # Don't inject timeout for Gemini — its HttpOptions interprets the value + # in milliseconds and would clash with the plugin's own default. + probe_provider_options: dict[str, Any] = dict(body.provider_options or {}) + if body.provider in (GenAIProviderEnum.openai, GenAIProviderEnum.azure_openai): + probe_provider_options.setdefault("timeout", _PROBE_TIMEOUT_SECONDS) + + try: + transient_cfg = GenAIConfig( + provider=body.provider, + api_key=body.api_key, + base_url=body.base_url, + provider_options=probe_provider_options, + # model is required by the schema but irrelevant for listing. + model="probe", + roles=[], + ) + except ValidationError: + logger.exception("GenAI probe: invalid configuration") + return JSONResponse( + status_code=400, + content={"success": False, "message": "Invalid provider configuration"}, + ) + + try: + client = provider_cls( + transient_cfg, + timeout=_PROBE_TIMEOUT_SECONDS, + validate_model=False, + ) + except Exception: + logger.exception("GenAI probe: failed to construct client") + return JSONResponse( + content={ + "success": False, + "message": "Failed to connect to provider", + }, + ) + + try: + models = await asyncio.wait_for( + asyncio.to_thread(client.list_models), + timeout=_PROBE_OUTER_TIMEOUT_SECONDS, + ) + except asyncio.TimeoutError: + return JSONResponse( + content={"success": False, "message": "Probe timed out"}, + ) + except Exception: + logger.exception("GenAI probe: list_models failed") + return JSONResponse( + content={"success": False, "message": "Provider returned no models"}, + ) + + if not models: + return JSONResponse( + content={ + "success": False, + "message": ( + "No models returned. Check the API key, base URL, and " + "that the provider is reachable." + ), + }, + ) + + return JSONResponse(content={"success": True, "models": models}) + + @router.get("/config", dependencies=[Depends(allow_any_authenticated())]) def config(request: Request): config_obj: FrigateConfig = request.app.frigate_config @@ -146,25 +285,28 @@ def config(request: Request): for name, detector in config_obj.detectors.items() } - # remove the mqtt password - config["mqtt"].pop("password", None) + # remove environment_vars for non-admin users + if request.headers.get("remote-role") != "admin": + config.pop("environment_vars", None) + + # redact mqtt credentials + redact_credential(config["mqtt"], "password") - # remove the proxy secret - config["proxy"].pop("auth_secret", None) + # redact proxy secret + redact_credential(config["proxy"], "auth_secret") - # remove genai api keys - for genai_name, genai_cfg in config.get("genai", {}).items(): + # redact genai api keys + for _genai_name, genai_cfg in config.get("genai", {}).items(): if isinstance(genai_cfg, dict): - genai_cfg.pop("api_key", None) + redact_credential(genai_cfg, "api_key") for camera_name, camera in request.app.frigate_config.cameras.items(): camera_dict = config["cameras"][camera_name] - # remove onvif credentials + # redact onvif credentials onvif_dict = camera_dict.get("onvif", {}) if onvif_dict: - onvif_dict.pop("user", None) - onvif_dict.pop("password", None) + redact_credential(onvif_dict, "password") # clean paths for input in camera_dict.get("ffmpeg", {}).get("inputs", []): @@ -494,6 +636,40 @@ def config_save(save_option: str, body: Any = Body(media_type="text/plain")): ) +def _restore_masked_camera_paths(config_data: dict, config: FrigateConfig) -> None: + """Substitute incoming `*:*` masked credentials with the in-memory ones. + + The /config response masks ffmpeg input credentials, so the settings UI + sends the masked path back when sibling fields (e.g. hwaccel_args) are + edited. Without this we'd write `rtsp://*:*@host` into YAML and lose + the real credentials. Mutates `config_data` in place. + """ + cameras = config_data.get("cameras") + if not isinstance(cameras, dict): + return + + for camera_name, camera_data in cameras.items(): + if not isinstance(camera_data, dict): + continue + inputs = camera_data.get("ffmpeg", {}).get("inputs") + if not isinstance(inputs, list): + continue + existing = config.cameras.get(camera_name) + if existing is None: + continue + existing_paths = [inp.path for inp in existing.ffmpeg.inputs] + for index, input_obj in enumerate(inputs): + if not isinstance(input_obj, dict): + continue + path = input_obj.get("path") + if not isinstance(path, str): + continue + if ("://*:*@" in path or "user=*&password=*" in path) and index < len( + existing_paths + ): + input_obj["path"] = existing_paths[index] + + def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONResponse: """Apply config changes in-memory only, without writing to YAML. @@ -504,8 +680,13 @@ def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONRespo try: updates = {} if body.config_data: + _restore_masked_camera_paths(body.config_data, request.app.frigate_config) updates = flatten_config_data(body.config_data) updates = {k: ("" if v is None else v) for k, v in updates.items()} + # Drop any field whose value is still the redaction sentinel + updates = { + k: v for k, v in updates.items() if v != REDACTED_CREDENTIAL_SENTINEL + } if not updates: return JSONResponse( @@ -569,6 +750,33 @@ def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONRespo settings, ) + # detect resize also republishes motion + objects so other + # processes pick up the rebuilt masks, and fires refresh so + # the camera maintainer recycles the camera process to pick + # up the new ffmpeg cmd / SHM sizing + if field == "detect": + cam_cfg = config.cameras.get(camera) + if cam_cfg is not None: + if cam_cfg.motion is not None: + request.app.config_publisher.publish_update( + CameraConfigUpdateTopic( + CameraConfigUpdateEnum.motion, camera + ), + cam_cfg.motion, + ) + request.app.config_publisher.publish_update( + CameraConfigUpdateTopic( + CameraConfigUpdateEnum.objects, camera + ), + cam_cfg.objects, + ) + request.app.config_publisher.publish_update( + CameraConfigUpdateTopic( + CameraConfigUpdateEnum.refresh, camera + ), + cam_cfg, + ) + return JSONResponse( content={"success": True, "message": "Config applied in-memory"}, status_code=200, @@ -610,9 +818,19 @@ def config_set(request: Request, body: AppConfigSetBody): if query_string: updates = process_config_query_string(query_string) elif body.config_data: + _restore_masked_camera_paths( + body.config_data, request.app.frigate_config + ) updates = flatten_config_data(body.config_data) # Convert None values to empty strings for deletion (e.g., when deleting masks) updates = {k: ("" if v is None else v) for k, v in updates.items()} + # Drop sentinel-valued fields so untouched credential + # placeholders don't clobber the saved YAML value. + updates = { + k: v + for k, v in updates.items() + if v != REDACTED_CREDENTIAL_SENTINEL + } if not updates: return JSONResponse( @@ -696,6 +914,8 @@ def config_set(request: Request, body: AppConfigSetBody): if request.app.dispatcher is not None: request.app.dispatcher.config = config + for comm in request.app.dispatcher.comms: + comm.config = config if body.update_topic: if body.update_topic.startswith("config/cameras/"): @@ -792,7 +1012,7 @@ def nvinfo(): @router.get( "/logs/{service}", tags=[Tags.logs], - dependencies=[Depends(allow_any_authenticated())], + dependencies=[Depends(require_role(["admin"]))], ) async def logs( service: str = Path(enum=["frigate", "nginx", "go2rtc"]), @@ -997,12 +1217,27 @@ def get_media_sync_status(job_id: str): @router.get("/labels", dependencies=[Depends(allow_any_authenticated())]) -def get_labels(camera: str = ""): +def get_labels( + camera: str = "", + allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter), +): try: if camera: + if camera not in allowed_cameras: + return JSONResponse( + content={ + "success": False, + "message": f"Access denied to camera '{camera}'", + }, + status_code=403, + ) events = Event.select(Event.label).where(Event.camera == camera).distinct() else: - events = Event.select(Event.label).distinct() + events = ( + Event.select(Event.label) + .where(Event.camera << allowed_cameras) + .distinct() + ) except Exception as e: logger.error(e) return JSONResponse( @@ -1015,9 +1250,16 @@ def get_labels(camera: str = ""): @router.get("/sub_labels", dependencies=[Depends(allow_any_authenticated())]) -def get_sub_labels(split_joined: Optional[int] = None): +def get_sub_labels( + split_joined: Optional[int] = None, + allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter), +): try: - events = Event.select(Event.sub_label).distinct() + events = ( + Event.select(Event.sub_label) + .where(Event.camera << allowed_cameras) + .distinct() + ) except Exception: return JSONResponse( content=({"success": False, "message": "Failed to get sub_labels"}), diff --git a/frigate/api/auth.py b/frigate/api/auth.py index d1c9688186..eca51df1a4 100644 --- a/frigate/api/auth.py +++ b/frigate/api/auth.py @@ -26,6 +26,7 @@ AppPutRoleBody, ) from frigate.api.defs.tags import Tags +from frigate.api.media_auth import check_camera_access, deny_response_for_media_uri from frigate.config import AuthConfig, NetworkingConfig, ProxyConfig from frigate.const import CONFIG_DIR, JWT_SECRET_ENV_VAR, PASSWORD_HASH_ALGORITHM from frigate.models import User @@ -633,6 +634,9 @@ def auth(request: Request): logger.debug("X-Proxy-Secret header does not match configured secret value") return fail_response + original_url = request.headers.get("x-original-url") + frigate_config = request.app.frigate_config + # if auth is disabled, just apply the proxy header map and return success if not auth_config.enabled: # pass the user header value from the upstream proxy if a mapping is specified @@ -649,6 +653,11 @@ def auth(request: Request): role = resolve_role(request.headers, proxy_config, config_roles_set) success_response.headers["remote-role"] = role + + deny_status = deny_response_for_media_uri(original_url, role, frigate_config) + if deny_status is not None: + return Response("", status_code=deny_status) + return success_response # now apply authentication @@ -743,6 +752,11 @@ def auth(request: Request): success_response.headers["remote-user"] = user success_response.headers["remote-role"] = role + + deny_status = deny_response_for_media_uri(original_url, role, frigate_config) + if deny_status is not None: + return Response("", status_code=deny_status) + return success_response except Exception as e: logger.error(f"Error parsing jwt: {e}") @@ -812,6 +826,11 @@ def logout(request: Request): ) @limiter.limit(limit_value=rateLimiter.get_limit) def login(request: Request, body: AppPostLoginBody): + if not request.app.frigate_config.auth.enabled: + return JSONResponse( + content={"message": "Authentication is disabled"}, status_code=404 + ) + JWT_COOKIE_NAME = request.app.frigate_config.auth.cookie_name JWT_COOKIE_SECURE = request.app.frigate_config.auth.cookie_secure JWT_SESSION_LENGTH = request.app.frigate_config.auth.session_length @@ -1064,19 +1083,19 @@ async def require_camera_access( raise HTTPException(status_code=current_user.status_code, detail=detail) role = current_user["role"] - all_camera_names = set(request.app.frigate_config.cameras.keys()) - roles_dict = request.app.frigate_config.auth.roles - allowed_cameras = User.get_allowed_cameras(role, roles_dict, all_camera_names) + frigate_config = request.app.frigate_config - # Admin or full access bypasses - if role == "admin" or not roles_dict.get(role): + if check_camera_access(role, camera_name, frigate_config): return - if camera_name not in allowed_cameras: - raise HTTPException( - status_code=403, - detail=f"Access denied to camera '{camera_name}'. Allowed: {allowed_cameras}", - ) + all_camera_names = set(frigate_config.cameras.keys()) + allowed_cameras = User.get_allowed_cameras( + role, frigate_config.auth.roles, all_camera_names + ) + raise HTTPException( + status_code=403, + detail=f"Access denied to camera '{camera_name}'. Allowed: {allowed_cameras}", + ) def _get_stream_owner_cameras(request: Request, stream_name: str) -> set[str]: diff --git a/frigate/api/camera.py b/frigate/api/camera.py index 7a3b19439e..9eb4bec9e2 100644 --- a/frigate/api/camera.py +++ b/frigate/api/camera.py @@ -19,7 +19,9 @@ from zeep.transports import AsyncTransport from frigate.api.auth import ( + _get_stream_owner_cameras, allow_any_authenticated, + get_current_user, require_go2rtc_stream_access, require_role, ) @@ -31,11 +33,12 @@ CameraConfigUpdateTopic, ) from frigate.config.env import substitute_frigate_vars +from frigate.models import User from frigate.util.builtin import clean_camera_user_pass from frigate.util.camera_cleanup import cleanup_camera_db, cleanup_camera_files from frigate.util.config import find_config_file from frigate.util.image import run_ffmpeg_snapshot -from frigate.util.services import ffprobe_stream +from frigate.util.services import ffprobe_stream, is_restricted_go2rtc_source logger = logging.getLogger(__name__) @@ -66,7 +69,7 @@ def _is_valid_host(host: str) -> bool: @router.get("/go2rtc/streams", dependencies=[Depends(allow_any_authenticated())]) -def go2rtc_streams(): +async def go2rtc_streams(request: Request): r = requests.get("http://127.0.0.1:1984/api/streams") if not r.ok: logger.error("Failed to fetch streams from go2rtc") @@ -75,6 +78,24 @@ def go2rtc_streams(): status_code=500, ) stream_data = r.json() + + # Roles with an explicit camera list see only streams owned by an allowed + # camera. Admin and full-access roles (no list / empty list) see all streams. + current_user = await get_current_user(request) + if not isinstance(current_user, JSONResponse): + role = current_user["role"] + roles_dict = request.app.frigate_config.auth.roles + if role != "admin" and roles_dict.get(role): + all_camera_names = set(request.app.frigate_config.cameras.keys()) + allowed_cameras = set( + User.get_allowed_cameras(role, roles_dict, all_camera_names) + ) + stream_data = { + name: data + for name, data in stream_data.items() + if _get_stream_owner_cameras(request, name) & allowed_cameras + } + for data in stream_data.values(): for producer in data.get("producers") or []: producer["url"] = clean_camera_user_pass(producer.get("url", "")) @@ -126,9 +147,24 @@ def go2rtc_add_stream(request: Request, stream_name: str, src: str = ""): params = {"name": stream_name} if src: try: - params["src"] = substitute_frigate_vars(src) + resolved_src = substitute_frigate_vars(src) except KeyError: - params["src"] = src + resolved_src = src + + if is_restricted_go2rtc_source(resolved_src): + logger.warning( + "Rejected go2rtc stream '%s' with restricted source type (echo/expr/exec)", + stream_name, + ) + return JSONResponse( + content={ + "success": False, + "message": "Restricted stream source type", + }, + status_code=400, + ) + + params["src"] = resolved_src r = requests.put( "http://127.0.0.1:1984/api/streams", @@ -966,7 +1002,6 @@ def find_move_status(obj, key="MoveStatus"): probe = ffprobe_stream( request.app.frigate_config.ffmpeg, test_uri, detailed=False ) - print(probe) ok = probe is not None and getattr(probe, "returncode", 1) == 0 tested_candidates.append( { diff --git a/frigate/api/chat.py b/frigate/api/chat.py index 0543d5f8a6..c7d197bf91 100644 --- a/frigate/api/chat.py +++ b/frigate/api/chat.py @@ -10,7 +10,7 @@ from typing import Any, Dict, List, Optional import cv2 -from fastapi import APIRouter, Body, Depends, Request +from fastapi import APIRouter, Body, Depends, HTTPException, Request from fastapi.responses import JSONResponse, StreamingResponse from pydantic import BaseModel @@ -35,7 +35,13 @@ ToolCall, ) from frigate.api.defs.tags import Tags -from frigate.api.event import events +from frigate.api.event import _build_attribute_filter_clause, events +from frigate.config import FrigateConfig +from frigate.genai.prompts import ( + build_chat_system_prompt, + get_attribute_classifications, + get_tool_definitions, +) from frigate.genai.utils import build_assistant_message_for_conversation from frigate.jobs.vlm_watch import ( get_vlm_watch_job, @@ -66,351 +72,76 @@ class VLMMonitorRequest(BaseModel): zones: List[str] = [] -def get_tool_definitions() -> List[Dict[str, Any]]: - """ - Get OpenAI-compatible tool definitions for Frigate. - - Returns a list of tool definitions that can be used with OpenAI-compatible - function calling APIs. - """ - return [ - { - "type": "function", - "function": { - "name": "search_objects", - "description": ( - "Search the historical record of detected objects in Frigate. " - "Use this ONLY for questions about the PAST — e.g. 'did anyone come by today?', " - "'when was the last car?', 'show me detections from yesterday'. " - "Do NOT use this for monitoring or alerting requests about future events — " - "use start_camera_watch instead for those. " - "An 'object' in Frigate represents a tracked detection (e.g., a person, package, car). " - "When the user asks about a specific name (person, delivery company, animal, etc.), " - "filter by sub_label only and do not set label." - ), - "parameters": { - "type": "object", - "properties": { - "camera": { - "type": "string", - "description": "Camera name to filter by (optional).", - }, - "label": { - "type": "string", - "description": "Object label to filter by (e.g., 'person', 'package', 'car').", - }, - "sub_label": { - "type": "string", - "description": "Name of a person, delivery company, animal, etc. When filtering by a specific name, use only sub_label; do not set label.", - }, - "after": { - "type": "string", - "description": "Start time in ISO 8601 format (e.g., '2024-01-01T00:00:00Z').", - }, - "before": { - "type": "string", - "description": "End time in ISO 8601 format (e.g., '2024-01-01T23:59:59Z').", - }, - "zones": { - "type": "array", - "items": {"type": "string"}, - "description": "List of zone names to filter by.", - }, - "limit": { - "type": "integer", - "description": "Maximum number of objects to return (default: 25).", - "default": 25, - }, - }, - }, - "required": [], - }, - }, - { - "type": "function", - "function": { - "name": "find_similar_objects", - "description": ( - "Find tracked objects that are visually and semantically similar " - "to a specific past event. Use this when the user references a " - "particular object they have seen and wants to find other " - "sightings of the same or similar one ('that green car', 'the " - "person in the red jacket', 'the package that was delivered'). " - "Prefer this over search_objects whenever the user's intent is " - "'find more like this specific one.' Use search_objects first " - "only if you need to locate the anchor event. Requires semantic " - "search to be enabled." - ), - "parameters": { - "type": "object", - "properties": { - "event_id": { - "type": "string", - "description": "The id of the anchor event to find similar objects to.", - }, - "after": { - "type": "string", - "description": "Start time in ISO 8601 format (e.g., '2024-01-01T00:00:00Z').", - }, - "before": { - "type": "string", - "description": "End time in ISO 8601 format (e.g., '2024-01-01T23:59:59Z').", - }, - "cameras": { - "type": "array", - "items": {"type": "string"}, - "description": "Optional list of cameras to restrict to. Defaults to all.", - }, - "labels": { - "type": "array", - "items": {"type": "string"}, - "description": "Optional list of labels to restrict to. Defaults to the anchor event's label.", - }, - "sub_labels": { - "type": "array", - "items": {"type": "string"}, - "description": "Optional list of sub_labels (names) to restrict to.", - }, - "zones": { - "type": "array", - "items": {"type": "string"}, - "description": "Optional list of zones. An event matches if any of its zones overlap.", - }, - "similarity_mode": { - "type": "string", - "enum": ["visual", "semantic", "fused"], - "description": "Which similarity signal(s) to use. 'fused' (default) combines visual and semantic.", - "default": "fused", - }, - "min_score": { - "type": "number", - "description": "Drop matches with a similarity score below this threshold (0.0-1.0).", - }, - "limit": { - "type": "integer", - "description": "Maximum number of matches to return (default: 10).", - "default": 10, - }, - }, - "required": ["event_id"], - }, - }, - }, - { - "type": "function", - "function": { - "name": "set_camera_state", - "description": ( - "Change a camera's feature state (e.g., turn detection on/off, enable/disable recordings). " - "Use camera='*' to apply to all cameras at once. " - "Only call this tool when the user explicitly asks to change a camera setting. " - "Requires admin privileges." - ), - "parameters": { - "type": "object", - "properties": { - "camera": { - "type": "string", - "description": "Camera name to target, or '*' to target all cameras.", - }, - "feature": { - "type": "string", - "enum": [ - "detect", - "record", - "snapshots", - "audio", - "motion", - "enabled", - "birdseye", - "birdseye_mode", - "improve_contrast", - "ptz_autotracker", - "motion_contour_area", - "motion_threshold", - "notifications", - "audio_transcription", - "review_alerts", - "review_detections", - "object_descriptions", - "review_descriptions", - "profile", - ], - "description": ( - "The feature to change. Most features accept ON or OFF. " - "birdseye_mode accepts CONTINUOUS, MOTION, or OBJECTS. " - "motion_contour_area and motion_threshold accept a number. " - "profile accepts a profile name or 'none' to deactivate (requires camera='*')." - ), - }, - "value": { - "type": "string", - "description": "The value to set. ON or OFF for toggles, a number for thresholds, a profile name or 'none' for profile.", - }, - }, - "required": ["camera", "feature", "value"], - }, - }, - }, - { - "type": "function", - "function": { - "name": "get_live_context", - "description": ( - "Get the current live image and detection information for a camera: objects being tracked, " - "zones, timestamps. Use this to understand what is visible in the live view. " - "Call this when answering questions about what is happening right now on a specific camera." - ), - "parameters": { - "type": "object", - "properties": { - "camera": { - "type": "string", - "description": "Camera name to get live context for.", - }, - }, - "required": ["camera"], - }, - }, - }, - { - "type": "function", - "function": { - "name": "start_camera_watch", - "description": ( - "Start a continuous VLM watch job that monitors a camera and sends a notification " - "when a specified condition is met. Use this when the user wants to be alerted about " - "a future event, e.g. 'tell me when guests arrive' or 'notify me when the package is picked up'. " - "Only one watch job can run at a time. Returns a job ID." - ), - "parameters": { - "type": "object", - "properties": { - "camera": { - "type": "string", - "description": "Camera ID to monitor.", - }, - "condition": { - "type": "string", - "description": ( - "Natural-language description of the condition to watch for, " - "e.g. 'a person arrives at the front door'." - ), - }, - "max_duration_minutes": { - "type": "integer", - "description": "Maximum time to watch before giving up (minutes, default 60).", - "default": 60, - }, - "labels": { - "type": "array", - "items": {"type": "string"}, - "description": "Object labels that should trigger a VLM check (e.g. ['person', 'car']). If omitted, any detection on the camera triggers a check.", - }, - "zones": { - "type": "array", - "items": {"type": "string"}, - "description": "Zone names to filter by. If specified, only detections in these zones trigger a VLM check.", - }, - }, - "required": ["camera", "condition"], - }, - }, - }, - { - "type": "function", - "function": { - "name": "stop_camera_watch", - "description": ( - "Cancel the currently running VLM watch job. Use this when the user wants to " - "stop a previously started watch, e.g. 'stop watching the front door'." - ), - "parameters": { - "type": "object", - "properties": {}, - "required": [], - }, - }, - }, - { - "type": "function", - "function": { - "name": "get_profile_status", - "description": ( - "Get the current profile status including the active profile and " - "timestamps of when each profile was last activated. Use this to " - "determine time periods for recap requests — e.g. when the user asks " - "'what happened while I was away?', call this first to find the relevant " - "time window based on profile activation history." - ), - "parameters": { - "type": "object", - "properties": {}, - "required": [], - }, - }, - }, - { - "type": "function", - "function": { - "name": "get_recap", - "description": ( - "Get a recap of all activity (alerts and detections) for a given time period. " - "Use this after calling get_profile_status to retrieve what happened during " - "a specific window — e.g. 'what happened while I was away?'. Returns a " - "chronological list of activity with camera, objects, zones, and GenAI-generated " - "descriptions when available. Summarize the results for the user." - ), - "parameters": { - "type": "object", - "properties": { - "after": { - "type": "string", - "description": "Start of the time period in ISO 8601 format (e.g. '2025-03-15T08:00:00').", - }, - "before": { - "type": "string", - "description": "End of the time period in ISO 8601 format (e.g. '2025-03-15T17:00:00').", - }, - "cameras": { - "type": "string", - "description": "Comma-separated camera IDs to include, or 'all' for all cameras. Default is 'all'.", - }, - "severity": { - "type": "string", - "enum": ["alert", "detection"], - "description": "Filter by severity level. Omit to include both alerts and detections.", - }, - }, - "required": ["after", "before"], - }, - }, - }, - ] - - @router.get( "/chat/tools", dependencies=[Depends(allow_any_authenticated())], summary="Get available tools", description="Returns OpenAI-compatible tool definitions for function calling.", ) -def get_tools() -> JSONResponse: +def get_tools(request: Request) -> JSONResponse: """Get list of available tools for LLM function calling.""" - tools = get_tool_definitions() + config = request.app.frigate_config + semantic_search_enabled = bool(getattr(config.semantic_search, "enabled", False)) + attribute_classifications = get_attribute_classifications(config) + tools = get_tool_definitions( + semantic_search_enabled=semantic_search_enabled, + attribute_classifications=attribute_classifications, + ) return JSONResponse(content={"tools": tools}) +def _resolve_zones( + zones: List[str], + config: FrigateConfig, + target_cameras: List[str], +) -> List[str]: + """Map zone names to their canonical config keys, case-insensitively. + + LLMs frequently echo a user's casing ("Front Yard") instead of the + configured key ("front_yard"). The downstream zone filter is a SQLite GLOB + over the JSON-encoded zones column, which is case-sensitive — so an + unnormalized name silently returns zero matches. Build a lookup over the + relevant cameras' configured zones and substitute when we find a match; + unknown names pass through so behavior matches what the model asked for. + """ + if not zones: + return zones + + lookup: Dict[str, str] = {} + for camera_id in target_cameras: + camera_config = config.cameras.get(camera_id) + if camera_config is None: + continue + for zone_name in camera_config.zones.keys(): + lookup.setdefault(zone_name.lower(), zone_name) + + return [lookup.get(z.lower(), z) for z in zones] + + async def _execute_search_objects( + request: Request, arguments: Dict[str, Any], allowed_cameras: List[str], ) -> JSONResponse: """ Execute the search_objects tool. - This searches for detected objects (events) in Frigate using the same - logic as the events API endpoint. + Routes to the semantic path when the LLM supplied a `semantic_query` + and semantic search is enabled; otherwise delegates to the standard + events API logic. """ + config = request.app.frigate_config + semantic_query = arguments.get("semantic_query") + if isinstance(semantic_query, str): + semantic_query = semantic_query.strip() or None + else: + semantic_query = None + + if semantic_query and getattr(config.semantic_search, "enabled", False): + return await _execute_search_objects_semantic( + request, arguments, allowed_cameras, semantic_query + ) + # Parse after/before as server local time; convert to Unix timestamp after = arguments.get("after") before = arguments.get("before") @@ -437,15 +168,23 @@ def _parse_as_local_timestamp(s: str): # Convert zones array to comma-separated string if provided zones = arguments.get("zones") if isinstance(zones, list): + camera_arg = arguments.get("camera") + target_cameras = ( + [camera_arg] if camera_arg and camera_arg != "all" else allowed_cameras + ) + zones = _resolve_zones(zones, config, target_cameras) zones = ",".join(zones) elif zones is None: zones = "all" + attribute = arguments.get("attribute") + # Build query parameters compatible with EventsQueryParams query_params = EventsQueryParams( cameras=arguments.get("camera", "all"), labels=arguments.get("label", "all"), sub_labels=arguments.get("sub_label", "all"), # case-insensitive on the backend + attributes=attribute if attribute else "all", zones=zones, zone=zones, after=after, @@ -472,6 +211,124 @@ def _parse_as_local_timestamp(s: str): ) +async def _execute_search_objects_semantic( + request: Request, + arguments: Dict[str, Any], + allowed_cameras: List[str], + semantic_query: str, +) -> JSONResponse: + """Search objects via fused thumbnail + description embeddings. + + Runs both visual and description vec searches against `semantic_query`, + intersects the candidates with the structured filters (camera, label, + sub_label, zones, time window) the LLM supplied, and ranks the survivors + by fused similarity. Mirrors the candidate-then-filter pattern used by + find_similar_objects since sqlite-vec's IN filter is unreliable. + """ + from peewee import fn + + config = request.app.frigate_config + context = request.app.embeddings + if context is None: + logger.warning( + "semantic_query supplied but embeddings context is unavailable; " + "returning empty results." + ) + return JSONResponse(content=[]) + + after = parse_iso_to_timestamp(arguments.get("after")) + before = parse_iso_to_timestamp(arguments.get("before")) + + camera_arg = arguments.get("camera") + if camera_arg and camera_arg != "all": + if camera_arg not in allowed_cameras: + return JSONResponse(content=[]) + cameras = [camera_arg] + else: + cameras = list(allowed_cameras) if allowed_cameras else [] + + if not cameras: + return JSONResponse(content=[]) + + label = arguments.get("label") + sub_label = arguments.get("sub_label") + attribute = arguments.get("attribute") + + zones = arguments.get("zones") + if isinstance(zones, list) and zones: + zones = _resolve_zones(zones, config, cameras) + else: + zones = None + + limit = int(arguments.get("limit", 25)) + limit = max(1, min(limit, 100)) + + visual_distances: Dict[str, float] = {} + description_distances: Dict[str, float] = {} + try: + rows = context.search_thumbnail(semantic_query) + visual_distances = {row[0]: row[1] for row in rows} + except Exception: + logger.exception( + "search_thumbnail failed for semantic_query: %s", semantic_query + ) + + try: + rows = context.search_description(semantic_query) + description_distances = {row[0]: row[1] for row in rows} + except Exception: + logger.exception( + "search_description failed for semantic_query: %s", semantic_query + ) + + vec_ids = set(visual_distances) | set(description_distances) + if not vec_ids: + return JSONResponse(content=[]) + + clauses = [Event.id.in_(list(vec_ids)), Event.camera.in_(cameras)] + if after is not None: + clauses.append(Event.start_time >= after) + if before is not None: + clauses.append(Event.start_time <= before) + if label: + clauses.append(Event.label == label) + if sub_label: + # case-insensitive match to mirror events() behavior + clauses.append(fn.LOWER(Event.sub_label.cast("text")) == sub_label.lower()) + if attribute: + attribute_clause = _build_attribute_filter_clause(attribute) + if attribute_clause is not None: + clauses.append(attribute_clause) + if zones: + zone_clauses = [Event.zones.cast("text") % f'*"{zone}"*' for zone in zones] + clauses.append(reduce(operator.or_, zone_clauses)) + + eligible = {e.id: e for e in Event.select().where(reduce(operator.and_, clauses))} + + scored: List[tuple[str, float]] = [] + for eid in eligible: + v_score = ( + distance_to_score(visual_distances[eid], context.thumb_stats) + if eid in visual_distances + else None + ) + d_score = ( + distance_to_score(description_distances[eid], context.desc_stats) + if eid in description_distances + else None + ) + fused = fuse_scores(v_score, d_score) + if fused is None: + continue + scored.append((eid, fused)) + + scored.sort(key=lambda pair: pair[1], reverse=True) + scored = scored[:limit] + + results = [hydrate_event(eligible[eid], score=score) for eid, score in scored] + return JSONResponse(content=results) + + async def _execute_find_similar_objects( request: Request, arguments: Dict[str, Any], @@ -528,6 +385,11 @@ async def _execute_find_similar_objects( sub_labels = arguments.get("sub_labels") zones = arguments.get("zones") + if zones: + zones = _resolve_zones( + zones, request.app.frigate_config, cameras or list(allowed_cameras) + ) + similarity_mode = arguments.get("similarity_mode", "fused") if similarity_mode not in ("visual", "semantic", "fused"): similarity_mode = "fused" @@ -655,7 +517,7 @@ async def execute_tool( logger.debug(f"Executing tool: {tool_name} with arguments: {arguments}") if tool_name == "search_objects": - return await _execute_search_objects(arguments, allowed_cameras) + return await _execute_search_objects(request, arguments, allowed_cameras) if tool_name == "find_similar_objects": result = await _execute_find_similar_objects( @@ -835,7 +697,7 @@ async def _execute_tool_internal( This is used by the chat completion endpoint to execute tools. """ if tool_name == "search_objects": - response = await _execute_search_objects(arguments, allowed_cameras) + response = await _execute_search_objects(request, arguments, allowed_cameras) try: if hasattr(response, "body"): body_str = response.body.decode("utf-8") @@ -899,6 +761,9 @@ async def _execute_start_camera_watch( await require_camera_access(camera, request=request) + if zones: + zones = _resolve_zones(zones, config, [camera]) + genai_manager = request.app.genai_manager chat_client = genai_manager.chat_client if chat_client is None or not chat_client.supports_vision: @@ -1245,52 +1110,21 @@ async def chat_completion( status_code=400, ) - tools = get_tool_definitions() - conversation = [] - - current_datetime = datetime.now() - current_date_str = current_datetime.strftime("%Y-%m-%d") - current_time_str = current_datetime.strftime("%I:%M:%S %p") - - cameras_info = [] config = request.app.frigate_config - for camera_id in allowed_cameras: - if camera_id not in config.cameras: - continue - camera_config = config.cameras[camera_id] - friendly_name = ( - camera_config.friendly_name - if camera_config.friendly_name - else camera_id.replace("_", " ").title() - ) - zone_names = list(camera_config.zones.keys()) - if zone_names: - cameras_info.append( - f" - {friendly_name} (ID: {camera_id}, zones: {', '.join(zone_names)})" - ) - else: - cameras_info.append(f" - {friendly_name} (ID: {camera_id})") - - cameras_section = "" - if cameras_info: - cameras_section = ( - "\n\nAvailable cameras:\n" - + "\n".join(cameras_info) - + "\n\nWhen users refer to cameras by their friendly name (e.g., 'Back Deck Camera'), use the corresponding camera ID (e.g., 'back_deck_cam') in tool calls." - ) - - system_prompt = f"""You are a helpful assistant for Frigate, a security camera NVR system. You help users answer questions about their cameras, detected objects, and events. - -Current server local date and time: {current_date_str} at {current_time_str} - -Do not start your response with phrases like "I will check...", "Let me see...", or "Let me look...". Answer directly. - -Always present times to the user in the server's local timezone. When tool results include start_time_local and end_time_local, use those exact strings when listing or describing detection times—do not convert or invent timestamps. Do not use UTC or ISO format with Z for the user-facing answer unless the tool result only provides Unix timestamps without local time fields. -When users ask about "today", "yesterday", "this week", etc., use the current date above as reference. -When searching for objects or events, use ISO 8601 format for dates (e.g., {current_date_str}T00:00:00Z for the start of today). -Always be accurate with time calculations based on the current date provided. + semantic_search_enabled = bool(getattr(config.semantic_search, "enabled", False)) + attribute_classifications = get_attribute_classifications(config) + tools = get_tool_definitions( + semantic_search_enabled=semantic_search_enabled, + attribute_classifications=attribute_classifications, + ) + conversation = [] -When a user refers to a specific object they have seen or describe with identifying details ("that green car", "the person in the red jacket", "a package left today"), prefer the find_similar_objects tool over search_objects. Use search_objects first only to locate the anchor event, then pass its id to find_similar_objects. For generic queries like "show me all cars today", keep using search_objects. If a user message begins with [attached_event:], treat that event id as the anchor for any similarity or "tell me more" request in the same message and call find_similar_objects with that id.{cameras_section}""" + system_prompt = build_chat_system_prompt( + config=config, + allowed_cameras=allowed_cameras, + semantic_search_enabled=semantic_search_enabled, + attribute_classifications=attribute_classifications, + ) conversation.append( { @@ -1339,6 +1173,7 @@ async def stream_body_llm(): messages=conversation, tools=tools if tools else None, tool_choice="auto", + enable_thinking=body.enable_thinking, ): if await request.is_disconnected(): logger.debug("Client disconnected, stopping chat stream") @@ -1351,6 +1186,18 @@ async def stream_body_llm(): ) + b"\n" ) + elif kind == "reasoning_delta": + yield ( + json.dumps({"type": "reasoning", "delta": value}).encode( + "utf-8" + ) + + b"\n" + ) + elif kind == "stats": + yield ( + json.dumps({"type": "stats", **value}).encode("utf-8") + + b"\n" + ) elif kind == "message": msg = value if msg.get("finish_reason") == "error": @@ -1421,6 +1268,7 @@ async def stream_body_llm(): messages=conversation, tools=tools if tools else None, tool_choice="auto", + enable_thinking=body.enable_thinking, ) if response.get("finish_reason") == "error": @@ -1446,6 +1294,7 @@ async def stream_body_llm(): final_content = response.get("content") or "" if body.stream: + final_reasoning = response.get("reasoning") async def stream_body() -> Any: if tool_calls: @@ -1460,6 +1309,15 @@ async def stream_body() -> Any: ).encode("utf-8") + b"\n" ) + # Emit the full reasoning trace up front when the + # underlying client did not stream it + if final_reasoning: + yield ( + json.dumps( + {"type": "reasoning", "delta": final_reasoning} + ).encode("utf-8") + + b"\n" + ) # Stream content in word-sized chunks for smooth UX for part in chunk_content(final_content): yield ( @@ -1480,6 +1338,7 @@ async def stream_body() -> Any: message=ChatMessageResponse( role="assistant", content=final_content, + reasoning=response.get("reasoning"), tool_calls=None, ), finish_reason=response.get("finish_reason", "stop"), @@ -1581,6 +1440,7 @@ async def start_vlm_monitor( dispatcher=request.app.dispatcher, labels=body.labels, zones=body.zones, + username=request.headers.get("remote-user", ""), ) except RuntimeError as e: logger.error("Failed to start VLM watch job: %s", e, exc_info=True) @@ -1601,10 +1461,22 @@ async def start_vlm_monitor( summary="Get current VLM watch job", description="Returns the current (or most recently completed) VLM watch job.", ) -async def get_vlm_monitor() -> JSONResponse: +async def get_vlm_monitor(request: Request) -> JSONResponse: job = get_vlm_watch_job() if job is None: return JSONResponse(content={"active": False}, status_code=200) + + role = request.headers.get("remote-role", "viewer") + username = request.headers.get("remote-user", "") + + # Admin and the job's creator always see the job. Other users only see it + # if they have access to the camera being watched; otherwise hide it. + if role != "admin" and username != job.username: + try: + await require_camera_access(job.camera, request=request) + except HTTPException: + return JSONResponse(content={"active": False}, status_code=200) + return JSONResponse(content={"active": True, **job.to_dict()}, status_code=200) @@ -1614,7 +1486,27 @@ async def get_vlm_monitor() -> JSONResponse: summary="Cancel the current VLM watch job", description="Cancels the running watch job if one exists.", ) -async def cancel_vlm_monitor() -> JSONResponse: +async def cancel_vlm_monitor(request: Request) -> JSONResponse: + job = get_vlm_watch_job() + if job is None: + return JSONResponse( + content={"success": False, "message": "No active watch job to cancel."}, + status_code=404, + ) + + role = request.headers.get("remote-role", "viewer") + username = request.headers.get("remote-user", "") + + # Admin can cancel any job; other users can only cancel jobs they started. + if role != "admin" and username != job.username: + return JSONResponse( + content={ + "success": False, + "message": "Not authorized to cancel this watch job.", + }, + status_code=403, + ) + cancelled = stop_vlm_watch_job() if not cancelled: return JSONResponse( diff --git a/frigate/api/debug_replay.py b/frigate/api/debug_replay.py index 027d4e50c7..034da3845d 100644 --- a/frigate/api/debug_replay.py +++ b/frigate/api/debug_replay.py @@ -6,10 +6,18 @@ from fastapi import APIRouter, Depends, Request from fastapi.responses import JSONResponse +from peewee import DoesNotExist from pydantic import BaseModel, Field from frigate.api.auth import require_role from frigate.api.defs.tags import Tags +from frigate.jobs.debug_replay import ( + ExportDebugReplaySource, + RecordingDebugReplaySource, + start_debug_replay_job, +) +from frigate.models import Export +from frigate.util.services import get_video_properties logger = logging.getLogger(__name__) @@ -24,15 +32,28 @@ class DebugReplayStartBody(BaseModel): end_time: float = Field(title="End timestamp") +class DebugReplayStartFromExportBody(BaseModel): + """Request body for starting a debug replay session from an export.""" + + export_id: str = Field(title="Export id") + + class DebugReplayStartResponse(BaseModel): """Response for starting a debug replay session.""" success: bool replay_camera: str + job_id: str class DebugReplayStatusResponse(BaseModel): - """Response for debug replay status.""" + """Response for debug replay status. + + Returns only session-presence fields. Startup progress and error + details flow through the job_state WebSocket topic via the + debug_replay job (see frigate.jobs.debug_replay); the + Replay page subscribes there with useJobStatus("debug_replay"). + """ active: bool replay_camera: str | None = None @@ -51,15 +72,40 @@ class DebugReplayStopResponse(BaseModel): @router.post( "/debug_replay/start", response_model=DebugReplayStartResponse, + status_code=202, + responses={ + 400: {"description": "Invalid camera, time range, or no recordings"}, + 409: {"description": "A replay session is already active"}, + }, dependencies=[Depends(require_role(["admin"]))], summary="Start debug replay", - description="Start a debug replay session from camera recordings.", + description="Start a debug replay session from camera recordings. Returns " + "immediately while clip generation runs as a background job; subscribe " + "to the 'debug_replay' job_state WS topic to track progress.", ) async def start_debug_replay(request: Request, body: DebugReplayStartBody): - """Start a debug replay session.""" + """Start a debug replay session asynchronously.""" replay_manager = request.app.replay_manager + internal_port = request.app.frigate_config.networking.listen.internal + if type(internal_port) is str: + internal_port = int(internal_port.split(":")[-1]) + + source = RecordingDebugReplaySource( + source_camera=body.camera, + start_ts=body.start_time, + end_ts=body.end_time, + internal_port=internal_port, + ) - if replay_manager.active: + try: + job_id = await asyncio.to_thread( + start_debug_replay_job, + source=source, + frigate_config=request.app.frigate_config, + config_publisher=request.app.config_publisher, + replay_manager=replay_manager, + ) + except RuntimeError: return JSONResponse( content={ "success": False, @@ -67,38 +113,102 @@ async def start_debug_replay(request: Request, body: DebugReplayStartBody): }, status_code=409, ) + except ValueError: + logger.exception("Rejected debug replay start request") + return JSONResponse( + content={ + "success": False, + "message": "Invalid debug replay parameters", + }, + status_code=400, + ) + + return JSONResponse( + content={ + "success": True, + "replay_camera": replay_manager.replay_camera_name, + "job_id": job_id, + }, + status_code=202, + ) + +@router.post( + "/debug_replay/start_from_export", + response_model=DebugReplayStartResponse, + status_code=202, + responses={ + 400: {"description": "Invalid export, time range, or no recordings"}, + 404: {"description": "Export not found"}, + 409: {"description": "A replay session is already active"}, + }, + dependencies=[Depends(require_role(["admin"]))], + summary="Start debug replay from an export", + description="Start a debug replay session covering an existing export's " + "time range. The end time is derived from the export's video duration.", +) +async def start_debug_replay_from_export( + request: Request, body: DebugReplayStartFromExportBody +): + """Start a debug replay session from an existing export.""" try: - replay_camera = await asyncio.to_thread( - replay_manager.start, - source_camera=body.camera, - start_ts=body.start_time, - end_ts=body.end_time, - frigate_config=request.app.frigate_config, - config_publisher=request.app.config_publisher, + export: Export = Export.get(Export.id == body.export_id) + except DoesNotExist: + return JSONResponse( + content={"success": False, "message": "Export not found"}, + status_code=404, ) - except ValueError: - logger.exception("Invalid parameters for debug replay start request") + + properties = await get_video_properties( + request.app.frigate_config.ffmpeg, export.video_path, get_duration=True + ) + duration = properties.get("duration", -1) + + if duration is None or duration <= 0: return JSONResponse( content={ "success": False, - "message": "Invalid debug replay request parameters", + "message": "Could not determine export duration", }, status_code=400, ) + + replay_manager = request.app.replay_manager + source = ExportDebugReplaySource(export=export, duration=float(duration)) + + try: + job_id = await asyncio.to_thread( + start_debug_replay_job, + source=source, + frigate_config=request.app.frigate_config, + config_publisher=request.app.config_publisher, + replay_manager=replay_manager, + ) except RuntimeError: - logger.exception("Error while starting debug replay session") return JSONResponse( content={ "success": False, - "message": "An internal error occurred while starting debug replay", + "message": "A replay session is already active", }, - status_code=500, + status_code=409, + ) + except ValueError: + logger.exception("Rejected debug replay start request") + return JSONResponse( + content={ + "success": False, + "message": "Invalid debug replay parameters", + }, + status_code=400, ) - return DebugReplayStartResponse( - success=True, - replay_camera=replay_camera, + return JSONResponse( + content={ + "success": True, + "replay_camera": replay_manager.replay_camera_name, + "job_id": job_id, + }, + status_code=202, ) @@ -118,12 +228,16 @@ def get_debug_replay_status(request: Request): if replay_manager.active and replay_camera: frame_processor = request.app.detected_frames_processor - frame = frame_processor.get_current_frame(replay_camera) + frame = ( + frame_processor.get_current_frame(replay_camera) + if frame_processor is not None + else None + ) if frame is not None: frame_time = frame_processor.get_current_frame_time(replay_camera) camera_config = request.app.frigate_config.cameras.get(replay_camera) - retry_interval = 10 + retry_interval = 10.0 if camera_config is not None: retry_interval = float(camera_config.ffmpeg.retry_interval or 10) diff --git a/frigate/api/defs/request/app_body.py b/frigate/api/defs/request/app_body.py index d9d11fd019..2c37f6ae4d 100644 --- a/frigate/api/defs/request/app_body.py +++ b/frigate/api/defs/request/app_body.py @@ -2,6 +2,8 @@ from pydantic import BaseModel, Field +from frigate.config import GenAIProviderEnum + class AppConfigSetBody(BaseModel): requires_restart: int = 1 @@ -10,6 +12,13 @@ class AppConfigSetBody(BaseModel): skip_save: bool = False +class GenAIProbeBody(BaseModel): + provider: GenAIProviderEnum + api_key: Optional[str] = None + base_url: Optional[str] = None + provider_options: Dict[str, Any] = Field(default_factory=dict) + + class AppPutPasswordBody(BaseModel): password: str old_password: Optional[str] = None diff --git a/frigate/api/defs/request/chat_body.py b/frigate/api/defs/request/chat_body.py index 79ca3a6fef..228781c80b 100644 --- a/frigate/api/defs/request/chat_body.py +++ b/frigate/api/defs/request/chat_body.py @@ -36,3 +36,10 @@ class ChatCompletionRequest(BaseModel): default=False, description="If true, stream the final assistant response in the body as newline-delimited JSON.", ) + enable_thinking: Optional[bool] = Field( + default=None, + description=( + "Per-request thinking toggle. None means use the provider default. " + "Ignored by providers that do not expose a per-request thinking switch." + ), + ) diff --git a/frigate/api/defs/response/chat_response.py b/frigate/api/defs/response/chat_response.py index 0bc864ba68..c2b3e6b1f2 100644 --- a/frigate/api/defs/response/chat_response.py +++ b/frigate/api/defs/response/chat_response.py @@ -20,6 +20,10 @@ class ChatMessageResponse(BaseModel): content: Optional[str] = Field( default=None, description="Message content (None if tool calls present)" ) + reasoning: Optional[str] = Field( + default=None, + description="Separated reasoning/thinking trace if the model emitted one", + ) tool_calls: Optional[list[ToolCallInvocation]] = Field( default=None, description="Tool calls if LLM wants to call tools" ) diff --git a/frigate/api/event.py b/frigate/api/event.py index a7d1cffc87..fc7c58c375 100644 --- a/frigate/api/event.py +++ b/frigate/api/event.py @@ -754,6 +754,15 @@ def events_search( status_code=404, ) + if search_event.camera not in allowed_cameras: + return JSONResponse( + content={ + "success": False, + "message": "Event not found", + }, + status_code=404, + ) + thumb_result = context.search_thumbnail(search_event) thumb_ids = {result[0]: result[1] for result in thumb_result} search_results = { diff --git a/frigate/api/export.py b/frigate/api/export.py index 714420903b..09ded84124 100644 --- a/frigate/api/export.py +++ b/frigate/api/export.py @@ -5,13 +5,15 @@ import random import string import time +import zipfile +from collections import deque from pathlib import Path -from typing import List, Optional +from typing import Iterator, List, Optional import psutil from fastapi import APIRouter, Depends, Query, Request -from fastapi.responses import JSONResponse -from pathvalidate import sanitize_filepath +from fastapi.responses import JSONResponse, StreamingResponse +from pathvalidate import sanitize_filename, sanitize_filepath from peewee import DoesNotExist from playhouse.shortcuts import model_to_dict @@ -361,6 +363,136 @@ def get_export_case(case_id: str): ) +_ZIP_STREAM_CHUNK_SIZE = 1024 * 1024 # 1 MiB + + +class _StreamingZipBuffer: + """File-like sink for ZipFile that exposes written bytes via drain(). + + ZipFile writes synchronously into this buffer; the generator drains the + queue between writes so StreamingResponse can yield bytes without + materializing the whole archive in memory. + """ + + def __init__(self) -> None: + self._queue: deque[bytes] = deque() + self._offset = 0 + + def write(self, data: bytes) -> int: + if data: + self._queue.append(bytes(data)) + self._offset += len(data) + return len(data) + + def tell(self) -> int: + return self._offset + + def flush(self) -> None: + pass + + def drain(self) -> Iterator[bytes]: + while self._queue: + yield self._queue.popleft() + + +def _unique_archive_name(export: Export, used: set[str]) -> str: + base = sanitize_filename(export.name) if export.name else None + if not base: + base = f"{export.camera}_{int(export.date)}" + + candidate = f"{base}.mp4" + counter = 1 + while candidate in used: + candidate = f"{base}_{counter}.mp4" + counter += 1 + + used.add(candidate) + return candidate + + +def _stream_case_archive(exports: List[Export]) -> Iterator[bytes]: + """Yield bytes of a zip archive built from the given exports' mp4 files.""" + buffer = _StreamingZipBuffer() + used_names: set[str] = set() + + # ZIP_STORED: mp4 is already compressed, recompressing wastes CPU for ~0% size win. + with zipfile.ZipFile( + buffer, + mode="w", + compression=zipfile.ZIP_STORED, + allowZip64=True, + ) as archive: + for export in exports: + source = Path(export.video_path) + if not source.exists(): + continue + + arcname = _unique_archive_name(export, used_names) + + with ( + archive.open(arcname, mode="w", force_zip64=True) as entry, + source.open("rb") as src, + ): + while True: + chunk = src.read(_ZIP_STREAM_CHUNK_SIZE) + if not chunk: + break + + entry.write(chunk) + yield from buffer.drain() + + yield from buffer.drain() + + yield from buffer.drain() + + +@router.get( + "/cases/{case_id}/download", + dependencies=[Depends(allow_any_authenticated())], + summary="Download export case as zip", + description="Streams a zip archive containing every completed export's mp4 for the given case.", +) +def download_export_case( + case_id: str, + allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter), +): + try: + case = ExportCase.get(ExportCase.id == case_id) + except DoesNotExist: + return JSONResponse( + content={"success": False, "message": "Export case not found"}, + status_code=404, + ) + + exports = list( + Export.select() + .where( + Export.export_case == case_id, + ~Export.in_progress, + Export.camera << allowed_cameras, + ) + .order_by(Export.date.asc()) + ) + + if not exports: + return JSONResponse( + content={"success": False, "message": "No exports available to download."}, + status_code=404, + ) + + archive_base = sanitize_filename(case.name) if case.name else "" + if not archive_base: + archive_base = case_id + + return StreamingResponse( + _stream_case_archive(exports), + media_type="application/zip", + headers={ + "Content-Disposition": f'attachment; filename="{archive_base}.zip"', + }, + ) + + @router.patch( "/cases/{case_id}", response_model=GenericResponse, diff --git a/frigate/api/media.py b/frigate/api/media.py index 489c008b41..c8285eda16 100644 --- a/frigate/api/media.py +++ b/frigate/api/media.py @@ -174,12 +174,10 @@ async def latest_frame( } quality_params = get_image_quality_params(extension.value, params.quality) - if camera_name in request.app.frigate_config.cameras: + camera_config = request.app.frigate_config.cameras.get(camera_name) + if camera_config is not None: frame = frame_processor.get_current_frame(camera_name, draw_options) - retry_interval = float( - request.app.frigate_config.cameras.get(camera_name).ffmpeg.retry_interval - or 10 - ) + retry_interval = float(camera_config.ffmpeg.retry_interval or 10) is_offline = False if frame is None or datetime.now().timestamp() > ( @@ -1368,12 +1366,17 @@ def preview_gif( file_start = f"preview_{camera_name}-" start_file = f"{file_start}{start_ts}.{PREVIEW_FRAME_TYPE}" end_file = f"{file_start}{end_ts}.{PREVIEW_FRAME_TYPE}" - selected_previews = [] - for file in sorted(os.listdir(preview_dir)): - if not file.startswith(file_start): - continue + camera_files = [ + entry.name + for entry in os.scandir(preview_dir) + if entry.name.startswith(file_start) + ] + camera_files.sort() + selected_previews = [] + + for file in camera_files: if file < start_file: continue @@ -1550,12 +1553,17 @@ def preview_mp4( file_start = f"preview_{camera_name}-" start_file = f"{file_start}{start_ts}.{PREVIEW_FRAME_TYPE}" end_file = f"{file_start}{end_ts}.{PREVIEW_FRAME_TYPE}" - selected_previews = [] - for file in sorted(os.listdir(preview_dir)): - if not file.startswith(file_start): - continue + camera_files = [ + entry.name + for entry in os.scandir(preview_dir) + if entry.name.startswith(file_start) + ] + camera_files.sort() + + selected_previews = [] + for file in camera_files: if file < start_file: continue diff --git a/frigate/api/media_auth.py b/frigate/api/media_auth.py new file mode 100644 index 0000000000..cc06eb75cb --- /dev/null +++ b/frigate/api/media_auth.py @@ -0,0 +1,291 @@ +"""URI-aware authorization for nginx-served static media. + +The `/auth` endpoint (used as nginx `auth_request` target) calls into this +module to classify the requested URI from the `X-Original-URL` header and, for +camera-scoped resources, decide whether the current role may access them. + +Without this, `auth_request` only verifies the JWT — every authenticated user +could read clips, recordings, and exports for *any* camera, bypassing the +per-camera authorization the regular API enforces via `require_camera_access`. +""" + +from __future__ import annotations + +import logging +import os +from enum import Enum +from typing import Optional +from urllib.parse import unquote, urlparse + +from peewee import DoesNotExist + +from frigate.config import FrigateConfig +from frigate.const import EXPORT_DIR +from frigate.models import Export, User + +logger = logging.getLogger(__name__) + + +class MediaAuthResolution(str, Enum): + """Classification of an `X-Original-URL` path for media-auth purposes.""" + + CAMERA = "camera" + ADMIN_ONLY = "admin_only" + LISTING_MULTI_CAMERA = "listing_multi_camera" + LISTING_NEUTRAL = "listing_neutral" + # Under a recognized media root (/clips, /recordings, /exports) but + # unclassifiable (unknown subtree, no matching DB row, DB error). + # Restricted users are denied; admins/full-access roles are allowed + # (nginx will likely return 404 if the file genuinely doesn't exist). + UNRESOLVED_MEDIA = "unresolved_media" + # Not a media URI at all (e.g. /api/events, /login). + UNKNOWN = "unknown" + + +def extract_path(original_url: Optional[str]) -> Optional[str]: + """Return the decoded path component of nginx's `X-Original-URL` header. + + nginx forwards the *raw* request URI (with `..` segments intact) via + `$request_uri`. nginx normalizes the path before serving the file, so a + request like `/recordings/.../allowed_cam/../forbidden_cam/file.mp4` + would (1) parse as the allowed camera in our auth check, (2) be served + as the forbidden camera by nginx. To close the bypass we reject any URI + whose path contains `.` or `..` segments outright. + """ + if not original_url: + return None + + parsed = urlparse(original_url) + raw_path = parsed.path or original_url + decoded = unquote(raw_path) + if not decoded: + return None + + if not decoded.startswith("/"): + decoded = "/" + decoded + + segments = decoded.split("/") + if ".." in segments or "." in segments: + return None + + return decoded + + +def resolve_media_uri( + uri: str, frigate_config: Optional[FrigateConfig] = None +) -> tuple[MediaAuthResolution, Optional[str]]: + """Classify a URI and return the owning camera if applicable. + + `frigate_config` is used to disambiguate clip/review filenames whose + camera name contains hyphens by matching against the longest configured + camera-name prefix. + """ + if not uri: + return MediaAuthResolution.UNKNOWN, None + + parts = [p for p in uri.split("/") if p] + if not parts: + return MediaAuthResolution.UNKNOWN, None + + root = parts[0] + if root == "recordings": + return _resolve_recording(parts) + if root == "clips": + return _resolve_clip(parts, frigate_config) + if root == "exports": + return _resolve_export(parts) + + return MediaAuthResolution.UNKNOWN, None + + +def _resolve_recording( + parts: list[str], +) -> tuple[MediaAuthResolution, Optional[str]]: + # /recordings → neutral + # /recordings/{date} → neutral + # /recordings/{date}/{hour} → multi-camera listing + # /recordings/{date}/{hour}/{cam}/... → camera + if len(parts) <= 2: + return MediaAuthResolution.LISTING_NEUTRAL, None + if len(parts) == 3: + return MediaAuthResolution.LISTING_MULTI_CAMERA, None + return MediaAuthResolution.CAMERA, parts[3] + + +def _resolve_clip( + parts: list[str], frigate_config: Optional[FrigateConfig] +) -> tuple[MediaAuthResolution, Optional[str]]: + # /clips → multi-camera listing + # /clips/thumbs/{cam}/... → camera + # /clips/previews/{cam}/... → camera + # /clips/review/thumb-{cam}-{review_id}.webp → camera (parsed) + # /clips/faces/... → admin-only + # /clips/genai-requests/... → admin-only + # /clips/preview_restart_cache/... → admin-only + # /clips/{model}/train|dataset/... → admin-only + # /clips/{cam}-{event_id}[-clean].{ext} → camera (parsed) + # other /clips/{subdir}/... → unresolved (deny restricted) + if len(parts) == 1: + return MediaAuthResolution.LISTING_MULTI_CAMERA, None + + second = parts[1] + + if second in ("thumbs", "previews"): + if len(parts) == 2: + return MediaAuthResolution.LISTING_MULTI_CAMERA, None + return MediaAuthResolution.CAMERA, parts[2] + + if second == "review": + if len(parts) == 2: + return MediaAuthResolution.LISTING_MULTI_CAMERA, None + camera = _camera_from_thumb_filename(parts[2], frigate_config) + if camera: + return MediaAuthResolution.CAMERA, camera + return MediaAuthResolution.UNRESOLVED_MEDIA, None + + if second in ("faces", "genai-requests", "preview_restart_cache"): + return MediaAuthResolution.ADMIN_ONLY, None + + if len(parts) >= 3 and parts[2] in ("train", "dataset"): + return MediaAuthResolution.ADMIN_ONLY, None + + if len(parts) == 2: + camera = _camera_from_clip_filename(second, frigate_config) + if camera: + return MediaAuthResolution.CAMERA, camera + return MediaAuthResolution.UNRESOLVED_MEDIA, None + + return MediaAuthResolution.UNRESOLVED_MEDIA, None + + +def _longest_prefix_camera( + stem: str, frigate_config: Optional[FrigateConfig] +) -> Optional[str]: + if frigate_config is None: + return None + for cam in sorted(frigate_config.cameras.keys(), key=len, reverse=True): + if stem.startswith(cam + "-"): + return cam + return None + + +def _camera_from_clip_filename( + filename: str, frigate_config: Optional[FrigateConfig] +) -> Optional[str]: + """Match a flat clip filename `{camera}-{event_id}[-clean].{ext}` against + configured camera names. Longest-prefix wins so camera names containing + hyphens (e.g. `front-door`) resolve correctly. + """ + dot = filename.rfind(".") + stem = filename[:dot] if dot > 0 else filename + return _longest_prefix_camera(stem, frigate_config) + + +def _camera_from_thumb_filename( + filename: str, frigate_config: Optional[FrigateConfig] +) -> Optional[str]: + """Match a review thumbnail filename `thumb-{camera}-{review_id}.webp`.""" + if not filename.startswith("thumb-"): + return None + dot = filename.rfind(".") + stem = filename[len("thumb-") : dot] if dot > 0 else filename[len("thumb-") :] + return _longest_prefix_camera(stem, frigate_config) + + +def _resolve_export( + parts: list[str], +) -> tuple[MediaAuthResolution, Optional[str]]: + # /exports → multi-camera listing + # /exports/{filename}.mp4 → camera (DB lookup by exact path) + if len(parts) == 1: + return MediaAuthResolution.LISTING_MULTI_CAMERA, None + if len(parts) != 2: + return MediaAuthResolution.UNRESOLVED_MEDIA, None + + filename = parts[1] + full_path = os.path.join(EXPORT_DIR, filename) + try: + export = Export.get(Export.video_path == full_path) + return MediaAuthResolution.CAMERA, export.camera + except DoesNotExist: + return MediaAuthResolution.UNRESOLVED_MEDIA, None + except Exception as e: + logger.warning("Export DB lookup failed for %s: %s", filename, e) + return MediaAuthResolution.UNRESOLVED_MEDIA, None + + +def check_camera_access(role: str, camera: str, frigate_config: FrigateConfig) -> bool: + """Return True iff `role` may access `camera`. + + Mirrors the gating logic in `require_camera_access`: admin and any role + without a non-empty allow-list bypass the check. + """ + if role == "admin": + return True + + roles_dict = frigate_config.auth.roles + if not roles_dict.get(role): + return True + + all_camera_names = set(frigate_config.cameras.keys()) + allowed = User.get_allowed_cameras(role, roles_dict, all_camera_names) + return camera in allowed + + +def is_role_restricted(role: str, frigate_config: FrigateConfig) -> bool: + """True if `role` has a non-empty allow-list (i.e. not full-access).""" + if role == "admin": + return False + return bool(frigate_config.auth.roles.get(role)) + + +def deny_response_for_media_uri( + original_url: Optional[str], role: Optional[str], frigate_config: FrigateConfig +) -> Optional[int]: + """Decide whether the current role should be blocked from `original_url`. + + Returns an HTTP status code (403) when access should be denied, or `None` + when the request is allowed. + """ + if not original_url: + return None + + path = extract_path(original_url) + + # `extract_path` returns None for URIs containing `.` or `..` segments. + # For media-root URIs that's a traversal attempt — deny outright. For + # non-media URIs, pass through (nginx / the backend handle them). + if path is None: + raw = urlparse(original_url).path or original_url + decoded = unquote(raw) + first = decoded.lstrip("/").split("/", 1)[0] if decoded else "" + if first in ("clips", "recordings", "exports"): + return 403 + return None + + resolution, camera = resolve_media_uri(path, frigate_config) + if resolution == MediaAuthResolution.UNKNOWN: + return None + + if not role or role == "admin": + return None + + if not is_role_restricted(role, frigate_config): + return None + + if resolution == MediaAuthResolution.LISTING_NEUTRAL: + return None + + if resolution in ( + MediaAuthResolution.LISTING_MULTI_CAMERA, + MediaAuthResolution.ADMIN_ONLY, + MediaAuthResolution.UNRESOLVED_MEDIA, + ): + return 403 + + if resolution == MediaAuthResolution.CAMERA: + if camera and check_camera_access(role, camera, frigate_config): + return None + return 403 + + return 403 diff --git a/frigate/api/preview.py b/frigate/api/preview.py index a5e30764de..a307b5abce 100644 --- a/frigate/api/preview.py +++ b/frigate/api/preview.py @@ -148,12 +148,17 @@ def get_preview_frames_from_cache(camera_name: str, start_ts: float, end_ts: flo file_start = f"preview_{camera_name}-" start_file = f"{file_start}{start_ts}.{PREVIEW_FRAME_TYPE}" end_file = f"{file_start}{end_ts}.{PREVIEW_FRAME_TYPE}" - selected_previews = [] - for file in sorted(os.listdir(preview_dir)): - if not file.startswith(file_start): - continue + camera_files = [ + entry.name + for entry in os.scandir(preview_dir) + if entry.name.startswith(file_start) + ] + camera_files.sort() + + selected_previews = [] + for file in camera_files: if file < start_file: continue diff --git a/frigate/api/record.py b/frigate/api/record.py index 4ab4b0af16..f6366813b6 100644 --- a/frigate/api/record.py +++ b/frigate/api/record.py @@ -35,7 +35,7 @@ router = APIRouter(tags=[Tags.recordings]) -@router.get("/recordings/storage", dependencies=[Depends(allow_any_authenticated())]) +@router.get("/recordings/storage", dependencies=[Depends(require_role(["admin"]))]) def get_recordings_storage_usage(request: Request): recording_stats = request.app.stats_emitter.get_latest_stats()["service"][ "storage" diff --git a/frigate/app.py b/frigate/app.py index 488f121e68..8b5766148b 100644 --- a/frigate/app.py +++ b/frigate/app.py @@ -144,7 +144,7 @@ def ensure_dirs(self) -> None: for d in dirs: if not os.path.exists(d) and not os.path.islink(d): logger.info(f"Creating directory: {d}") - os.makedirs(d) + os.makedirs(d, exist_ok=True) else: logger.debug(f"Skipping directory: {d}") @@ -428,18 +428,11 @@ def start_camera_processor(self) -> None: self.camera_maintainer.start() def start_audio_processor(self) -> None: - audio_cameras = [ - c - for c in self.config.cameras.values() - if c.enabled and c.audio.enabled_in_config - ] - - if audio_cameras: - self.audio_process = AudioProcessor( - self.config, audio_cameras, self.camera_metrics, self.stop_event - ) - self.audio_process.start() - self.processes["audio_detector"] = self.audio_process.pid or 0 + self.audio_process = AudioProcessor( + self.config, self.camera_metrics, self.stop_event + ) + self.audio_process.start() + self.processes["audio_detector"] = self.audio_process.pid or 0 def start_timeline_processor(self) -> None: self.timeline_processor = TimelineProcessor( diff --git a/frigate/camera/maintainer.py b/frigate/camera/maintainer.py index c4ddc51e89..ea8df7bff0 100644 --- a/frigate/camera/maintainer.py +++ b/frigate/camera/maintainer.py @@ -14,6 +14,7 @@ CameraConfigUpdateEnum, CameraConfigUpdateSubscriber, ) +from frigate.const import REPLAY_CAMERA_PREFIX from frigate.models import Regions from frigate.util.builtin import empty_and_close_queue from frigate.util.image import SharedMemoryFrameManager, UntrackedSharedMemory @@ -50,6 +51,7 @@ def __init__( [ CameraConfigUpdateEnum.add, CameraConfigUpdateEnum.remove, + CameraConfigUpdateEnum.refresh, ], ) self.shm_count = self.__calculate_shm_frame_count() @@ -202,6 +204,25 @@ def __stop_camera_capture_process(self, camera: str) -> None: capture_process.terminate() capture_process.join() + def __unlink_camera_frame_slots(self, camera: str) -> None: + """Drop the camera's per-frame YUV SHM segments from this + process's frame_manager and unlink them at the OS level. + + Safe to call after the camera's capture/processor subprocesses + have been joined — they no longer hold mappings, so unlink frees + the segments immediately. Other long-lived processes that opened + these slots will continue using their existing mappings until + they call frame_manager.get with a shape that no longer fits + (the get path drops and reopens stale refs). + """ + prefix = f"{camera}_frame" + names = [n for n in list(self.frame_manager.shm_store) if n.startswith(prefix)] + for name in names: + try: + self.frame_manager.delete(name) + except Exception as exc: + logger.debug("Could not unlink SHM %s: %s", name, exc) + def __stop_camera_process(self, camera: str) -> None: camera_process = self.camera_processes.get(camera) if camera_process is not None: @@ -253,12 +274,45 @@ def run(self) -> None: for camera in updated_cameras: self.__stop_camera_capture_process(camera) self.__stop_camera_process(camera) + self.__unlink_camera_frame_slots(camera) self.capture_processes.pop(camera, None) self.camera_processes.pop(camera, None) self.camera_stop_events.pop(camera, None) self.region_grids.pop(camera, None) self.camera_metrics.pop(camera, None) self.ptz_metrics.pop(camera, None) + elif update_type == CameraConfigUpdateEnum.refresh.name: + # Recycle replay cameras so detect width/height/fps + # propagate through ffmpeg args, SHM sizing, and the + # region grid. Regular cameras detect change still + # requires a full restart. + for camera in updated_cameras: + if not camera.startswith(REPLAY_CAMERA_PREFIX): + continue + + new_config = self.update_subscriber.camera_configs.get(camera) + if new_config is None: + # remove arrived in the same batch + continue + + if ( + camera not in self.camera_processes + and camera not in self.capture_processes + ): + continue + + # rebuild ffmpeg cmds on the shared config so the + # new subprocesses spawn with current args + new_config.recreate_ffmpeg_cmds() + + self.__stop_camera_capture_process(camera) + self.__stop_camera_process(camera) + self.__unlink_camera_frame_slots(camera) + self.capture_processes.pop(camera, None) + self.camera_processes.pop(camera, None) + + self.__start_camera_processor(camera, new_config, runtime=True) + self.__start_camera_capture(camera, new_config, runtime=True) # ensure the capture processes are done for camera in self.capture_processes.keys(): diff --git a/frigate/camera/state.py b/frigate/camera/state.py index 8d0b586022..f35a3eaa56 100644 --- a/frigate/camera/state.py +++ b/frigate/camera/state.py @@ -45,6 +45,7 @@ def __init__( self.frame_cache: dict[float, dict[str, Any]] = {} self.zone_objects: defaultdict[str, list[Any]] = defaultdict(list) self._current_frame = np.zeros(self.camera_config.frame_shape_yuv, np.uint8) + self._last_frame_shape: tuple[int, int] = self.camera_config.frame_shape_yuv self.current_frame_lock = threading.Lock() self.current_frame_time = 0.0 self.motion_boxes: list[tuple[int, int, int, int]] = [] @@ -303,6 +304,42 @@ def finished(self, obj_id: str) -> None: def on(self, event_type: str, callback: Callable[..., Any]) -> None: self.callbacks[event_type].append(callback) + def _discard_stale_resolution_state( + self, current_detections: dict[str, dict[str, Any]] + ) -> bool: + """Drop tracked state when the camera's detect resolution has + changed, and signal the caller to skip this batch if it contains + out-of-bounds boxes from the pre-recycle detect process. + + Returns True when the batch should be skipped entirely. + """ + # detect resolution changed — drop tracked state so old-grid + # boxes don't leak through end-callbacks + current_shape = self.camera_config.frame_shape_yuv + if current_shape != self._last_frame_shape: + logger.debug( + f"{self.name}: detect resolution changed {self._last_frame_shape} -> {current_shape}, dropping tracked state" + ) + with self.current_frame_lock: + self.tracked_objects.clear() + self.motion_boxes = [] + self.regions = [] + self._last_frame_shape = current_shape + + # drop in-flight batches from the pre-recycle detect process + # whose boxes exceed the current detect resolution + detect = self.camera_config.detect + if detect.width is not None and detect.height is not None: + for obj in current_detections.values(): + box = obj.get("box") + if box and (box[2] > detect.width or box[3] > detect.height): + logger.debug( + f"{self.name}: dropping stale-resolution detection batch (box {box} exceeds {detect.width}x{detect.height})" + ) + return True + + return False + def update( self, frame_name: str, @@ -311,6 +348,9 @@ def update( motion_boxes: list[tuple[int, int, int, int]], regions: list[tuple[int, int, int, int]], ) -> None: + if self._discard_stale_resolution_state(current_detections): + return + current_frame = self.frame_manager.get( frame_name, self.camera_config.frame_shape_yuv ) @@ -332,14 +372,18 @@ def update( current_detections[id], ) - # add initial frame to frame cache - logger.debug( - f"{self.name}: New object, adding {frame_time} to frame cache for {id}" - ) - self.frame_cache[frame_time] = { - "frame": np.copy(current_frame), # type: ignore[arg-type] - "object_id": id, - } + # Skip caching when the frame buffer isn't readable — e.g. + # frame_manager.get returned None because the SHM segment was + # unlinked or hasn't been recreated yet during a camera + # add/remove cycle. + if current_frame is not None: + logger.debug( + f"{self.name}: New object, adding {frame_time} to frame cache for {id}" + ) + self.frame_cache[frame_time] = { + "frame": np.copy(current_frame), + "object_id": id, + } # save initial thumbnail data and best object thumbnail_data = { diff --git a/frigate/comms/webpush.py b/frigate/comms/webpush.py index e4ed832682..e35b64762c 100644 --- a/frigate/comms/webpush.py +++ b/frigate/comms/webpush.py @@ -429,7 +429,10 @@ def send_alert(self, payload: dict[str, Any]) -> None: else: title = base_title - message = payload["after"]["data"]["metadata"]["shortSummary"] + if payload["after"]["data"]["metadata"].get("shortSummary"): + message = payload["after"]["data"]["metadata"]["shortSummary"] + else: + message = f"Detected on {camera_name}" else: zone_names = payload["after"]["data"]["zones"] formatted_zone_names = [] @@ -549,6 +552,14 @@ def send_camera_monitoring(self, payload: dict[str, Any]) -> None: logger.debug(f"Sending camera monitoring push notification for {camera_name}") for user in self.web_pushers: + if not self._user_has_camera_access(user, camera): + logger.debug( + "Skipping notification for user %s - no access to camera %s", + user, + camera, + ) + continue + self.send_push_notification( user=user, payload=payload, diff --git a/frigate/comms/ws.py b/frigate/comms/ws.py index 6cfe4ecc0b..5b555999e3 100644 --- a/frigate/comms/ws.py +++ b/frigate/comms/ws.py @@ -17,9 +17,408 @@ from frigate.comms.base_communicator import Communicator from frigate.config import FrigateConfig +from frigate.const import ( + CLEAR_ONGOING_REVIEW_SEGMENTS, + EXPIRE_AUDIO_ACTIVITY, + INSERT_MANY_RECORDINGS, + INSERT_PREVIEW, + NOTIFICATION_TEST, + REQUEST_REGION_GRID, + UPDATE_AUDIO_ACTIVITY, + UPDATE_AUDIO_TRANSCRIPTION_STATE, + UPDATE_BIRDSEYE_LAYOUT, + UPDATE_CAMERA_ACTIVITY, + UPDATE_EMBEDDINGS_REINDEX_PROGRESS, + UPDATE_EVENT_DESCRIPTION, + UPDATE_MODEL_STATE, + UPDATE_REVIEW_DESCRIPTION, + UPSERT_REVIEW_SEGMENT, +) +from frigate.models import User +from frigate.output.ws_auth import ws_has_camera_access logger = logging.getLogger(__name__) +# Internal IPC topics — NEVER allowed from WebSocket, regardless of role +_WS_BLOCKED_TOPICS = frozenset( + { + INSERT_MANY_RECORDINGS, + INSERT_PREVIEW, + REQUEST_REGION_GRID, + UPSERT_REVIEW_SEGMENT, + CLEAR_ONGOING_REVIEW_SEGMENTS, + UPDATE_CAMERA_ACTIVITY, + UPDATE_AUDIO_ACTIVITY, + EXPIRE_AUDIO_ACTIVITY, + UPDATE_EVENT_DESCRIPTION, + UPDATE_REVIEW_DESCRIPTION, + UPDATE_MODEL_STATE, + UPDATE_EMBEDDINGS_REINDEX_PROGRESS, + UPDATE_BIRDSEYE_LAYOUT, + UPDATE_AUDIO_TRANSCRIPTION_STATE, + NOTIFICATION_TEST, + } +) + +# Read-only topics any authenticated user (including viewer) can send +_WS_VIEWER_TOPICS = frozenset( + { + "onConnect", + "modelState", + "audioTranscriptionState", + "birdseyeLayout", + "embeddingsReindexProgress", + "jobState", + } +) + + +def _check_ws_authorization( + topic: str, + role_header: str | None, + separator: str, +) -> bool: + """Check if a WebSocket message is authorized. + + Args: + topic: The message topic. + role_header: The HTTP_REMOTE_ROLE header value, or None. + separator: The role separator character from proxy config. + + Returns: + True if authorized, False if blocked. + """ + # Block IPC-only topics unconditionally + if topic in _WS_BLOCKED_TOPICS: + return False + + # No role header: default to viewer (fail-closed) + if role_header is None: + return topic in _WS_VIEWER_TOPICS + + # Check if any role is admin + roles = [r.strip() for r in role_header.split(separator)] + if "admin" in roles: + return True + + # Non-admin: only viewer topics allowed + return topic in _WS_VIEWER_TOPICS + + +# ---- Outbound filtering --------------------------------------------------- +# +# Every WebSocket broadcast is classified into one of a small set of scopes, +# then materialized per recipient. Connections with restricted roles only see +# data for cameras they are authorized to access; admin and full-access roles +# behave as today. + +# Topics that are safe to broadcast to every authenticated client. +_WS_GLOBAL_OUTBOUND_TOPICS = frozenset( + { + "model_state", + "embeddings_reindex_progress", + "audio_transcription_state", + "profile/state", + "notifications/state", + "notification_test", + } +) + +# Topics that restricted roles must never receive. Birdseye composites span +# all cameras, so the existing JSMPEG policy already restricts birdseye access +# to unrestricted roles; the layout broadcast follows the same rule. +_WS_UNRESTRICTED_ONLY_TOPICS = frozenset( + { + "birdseye_layout", + } +) + +# Topics whose payload (parsed as JSON) names a single owning camera at the +# given key path. Used to scope events, reviews, triggers, etc. +_WS_PAYLOAD_CAMERA_TOPICS: dict[str, tuple[str, ...]] = { + "events": ("after", "camera"), + "reviews": ("after", "camera"), + "tracked_object_update": ("camera",), + "triggers": ("camera",), + "camera_monitoring": ("camera",), +} + +# Topics whose payload is a dict keyed by camera name; filter keys per +# recipient. +_WS_RESHAPE_BY_CAMERA_KEY_TOPICS = frozenset( + { + "camera_activity", + "audio_detections", + } +) + +# Topics whose payload is a dict keyed by job_type, where each entry may +# contain a "camera" or "source_camera" field, or a nested ``results.jobs`` +# list of per-camera sub-jobs (export broadcasts). +_WS_RESHAPE_JOB_STATE_TOPICS = frozenset( + { + "job_state", + } +) + +# Topics whose payload mixes global aggregates with a ``cameras`` sub-dict +# keyed by camera name. Aggregates and detector data stay; per-camera entries +# are filtered. +_WS_RESHAPE_STATS_TOPICS = frozenset( + { + "stats", + } +) + + +def _collect_zone_names(config: FrigateConfig) -> set[str]: + """Return the set of all zone names defined across cameras.""" + names: set[str] = set() + for camera in config.cameras.values(): + zones = getattr(camera, "zones", None) or {} + names.update(zones.keys()) + return names + + +def _parse_json_payload(payload: Any) -> Any: + """Return payload parsed as JSON if it is a string, else as-is.""" + if isinstance(payload, str): + try: + return json.loads(payload) + except (ValueError, TypeError): + return None + return payload + + +def _scope_job_entry_to_allowed(entry: Any, allowed: set[str]) -> dict[str, Any] | None: + """Filter a single job_state entry to the recipient's allowed cameras. + + Returns the (possibly reshaped) entry, or None to drop it. Four shapes + are handled: + + * Top-level ``camera`` or ``source_camera`` (motion_search, vlm_watch, + export sub-job dicts): drop the entry if not allowed. + * Nested ``results.jobs`` list of per-camera sub-jobs (the aggregated + export broadcast): filter the list; drop the entry if nothing remains. + * Nested ``results.camera`` or ``results.source_camera`` (debug_replay, + which puts replay-specific fields inside ``results``): drop the entry + if not allowed. + * No camera anywhere (e.g. ``media_sync``): treat as global and keep. + """ + if not isinstance(entry, dict): + return None + + cam = entry.get("camera") or entry.get("source_camera") + + if cam is None: + results = entry.get("results") + if isinstance(results, dict): + sub_jobs = results.get("jobs") + if isinstance(sub_jobs, list): + filtered_jobs = [ + j + for j in sub_jobs + if isinstance(j, dict) + and (j.get("camera") or j.get("source_camera")) in allowed + ] + if not filtered_jobs: + return None + reshaped = dict(entry) + reshaped["results"] = dict(results) + reshaped["results"]["jobs"] = filtered_jobs + return reshaped + + cam = results.get("camera") or results.get("source_camera") + + if cam is not None: + return entry if cam in allowed else None + + return entry + + +def _extract_payload_camera(payload: Any, path: tuple[str, ...]) -> str | None: + """Walk the dotted path through a (possibly JSON-encoded) payload.""" + cur = _parse_json_payload(payload) + for key in path: + if not isinstance(cur, dict): + return None + cur = cur.get(key) + return cur if isinstance(cur, str) else None + + +def _classify_outbound( + topic: str, all_cameras: set[str], all_zones: set[str] +) -> tuple[str, Any]: + """Classify an outbound topic into (kind, extra). + + kind values: + - "global" : send to every authenticated client + - "drop" : send to nobody (fail-closed for unknowns) + - "unrestricted_only" : send only to admin/full-access roles + - "camera" : extra is the owning camera name + - "payload_camera" : extra is the JSON key path to the camera name + - "reshape_by_camera_key" + - "reshape_job_state" + - "reshape_stats" + """ + if topic in _WS_GLOBAL_OUTBOUND_TOPICS: + return ("global", None) + if topic in _WS_UNRESTRICTED_ONLY_TOPICS: + return ("unrestricted_only", None) + if topic in _WS_RESHAPE_BY_CAMERA_KEY_TOPICS: + return ("reshape_by_camera_key", None) + if topic in _WS_RESHAPE_JOB_STATE_TOPICS: + return ("reshape_job_state", None) + if topic in _WS_RESHAPE_STATS_TOPICS: + return ("reshape_stats", None) + if topic in _WS_PAYLOAD_CAMERA_TOPICS: + return ("payload_camera", _WS_PAYLOAD_CAMERA_TOPICS[topic]) + + # Topic-prefix based: first segment names the owning camera or zone. + first = topic.split("/", 1)[0] + if first in all_cameras: + return ("camera", first) + if first in all_zones: + # Zone aggregates span cameras; restricted users see nothing here. + return ("unrestricted_only", None) + + return ("drop", None) + + +def _ws_role_header(ws: Any) -> str | None: + """Return the HTTP_REMOTE_ROLE header value, if any.""" + environ = getattr(ws, "environ", None) + if not environ: + return None + value = environ.get("HTTP_REMOTE_ROLE") + return value if isinstance(value, str) else None + + +def _ws_valid_roles(ws: Any, config: FrigateConfig) -> list[str]: + """Return the list of recognized roles for this connection.""" + header = _ws_role_header(ws) + if not header: + return [] + roles = [r.strip() for r in header.split(config.proxy.separator) if r.strip()] + return [r for r in roles if r in config.auth.roles] + + +def _ws_is_unrestricted(ws: Any, config: FrigateConfig) -> bool: + """True when the connection has unrestricted camera access. + + Mirrors the policy in ``frigate.output.ws_auth``: admin or any role with + an empty allow-list grants full access. + """ + roles = _ws_valid_roles(ws, config) + if not roles: + return False + roles_dict = config.auth.roles + return any(r == "admin" or not roles_dict.get(r) for r in roles) + + +def _ws_allowed_cameras(ws: Any, config: FrigateConfig) -> set[str]: + """Return the union of cameras this connection may access across its roles.""" + roles = _ws_valid_roles(ws, config) + if not roles: + return set() + all_cameras = set(config.cameras.keys()) + allowed: set[str] = set() + for role in roles: + if role == "admin" or not config.auth.roles.get(role): + return all_cameras + allowed.update(User.get_allowed_cameras(role, config.auth.roles, all_cameras)) + return allowed + + +def _wrap_envelope(topic: str, inner_payload: Any) -> str: + """Re-serialize a (topic, payload) message after payload reshaping. + + Frigate's wire format keeps payloads as JSON-encoded strings inside the + outer envelope, mirroring what producers send today. + """ + return json.dumps({"topic": topic, "payload": json.dumps(inner_payload)}) + + +def _materialize_for_ws( + ws: Any, + topic: str, + full_message: str, + scope: tuple[str, Any], + parsed_payload: Any, + config: FrigateConfig, +) -> str | None: + """Return the JSON string to deliver to ``ws``, or None to skip it.""" + kind, extra = scope + has_role = _ws_role_header(ws) is not None + + if kind == "drop": + return None + + if kind == "global": + # Globals still require an authenticated connection. Missing role + # falls back to viewer semantics (matching the inbound rule). + return full_message + + # Beyond globals, an authenticated role header is required (fail-closed). + if not has_role: + return None + + if kind == "unrestricted_only": + return full_message if _ws_is_unrestricted(ws, config) else None + + if kind == "camera": + return full_message if ws_has_camera_access(ws, extra, config) else None + + if kind == "payload_camera": + camera = _extract_payload_camera(parsed_payload, extra) + if camera is None: + return None + return full_message if ws_has_camera_access(ws, camera, config) else None + + if kind == "reshape_by_camera_key": + if _ws_is_unrestricted(ws, config): + return full_message + if not isinstance(parsed_payload, dict): + return None + allowed = _ws_allowed_cameras(ws, config) + filtered = {cam: data for cam, data in parsed_payload.items() if cam in allowed} + if not filtered: + return None + return _wrap_envelope(topic, filtered) + + if kind == "reshape_job_state": + if _ws_is_unrestricted(ws, config): + return full_message + if not isinstance(parsed_payload, dict): + return None + allowed = _ws_allowed_cameras(ws, config) + filtered_jobs: dict[str, Any] = {} + for job_type, job_payload in parsed_payload.items(): + scoped = _scope_job_entry_to_allowed(job_payload, allowed) + if scoped is not None: + filtered_jobs[job_type] = scoped + if not filtered_jobs: + return None + return _wrap_envelope(topic, filtered_jobs) + + if kind == "reshape_stats": + if _ws_is_unrestricted(ws, config): + return full_message + if not isinstance(parsed_payload, dict): + return None + allowed = _ws_allowed_cameras(ws, config) + cameras_block = parsed_payload.get("cameras") + if isinstance(cameras_block, dict): + filtered_cameras = { + name: data for name, data in cameras_block.items() if name in allowed + } + reshaped = dict(parsed_payload) + reshaped["cameras"] = filtered_cameras + return _wrap_envelope(topic, reshaped) + return full_message + + return None + class WebSocket(WebSocket_): # type: ignore[misc] def unhandled_error(self, error: Any) -> None: @@ -49,6 +448,7 @@ def start(self) -> None: class _WebSocketHandler(WebSocket): receiver = self._dispatcher + role_separator = self.config.proxy.separator or "," def received_message(self, message: WebSocket.received_message) -> None: # type: ignore[name-defined] try: @@ -63,11 +463,25 @@ def received_message(self, message: WebSocket.received_message) -> None: # type ) return - logger.debug( - f"Publishing mqtt message from websockets at {json_message['topic']}." + topic = json_message["topic"] + + # Authorization check (skip when environ is None — direct internal connection) + role_header = ( + self.environ.get("HTTP_REMOTE_ROLE") if self.environ else None ) + if self.environ is not None and not _check_ws_authorization( + topic, role_header, self.role_separator + ): + logger.warning( + "Blocked unauthorized WebSocket message: topic=%s, role=%s", + topic, + role_header, + ) + return + + logger.debug(f"Publishing mqtt message from websockets at {topic}.") self.receiver( - json_message["topic"], + topic, json_message["payload"], ) @@ -87,6 +501,10 @@ def received_message(self, message: WebSocket.received_message) -> None: # type self.websocket_thread.start() def publish(self, topic: str, payload: Any, _: bool = False) -> None: + if self.websocket_server is None: + logger.debug("Skipping message, websocket not connected yet") + return + try: ws_message = json.dumps( { @@ -99,14 +517,42 @@ def publish(self, topic: str, payload: Any, _: bool = False) -> None: logger.debug(f"payload for {topic} wasn't text. Skipping...") return - if self.websocket_server is None: - logger.debug("Skipping message, websocket not connected yet") + all_cameras = set(self.config.cameras.keys()) + all_zones = _collect_zone_names(self.config) + scope = _classify_outbound(topic, all_cameras, all_zones) + + if scope[0] == "drop": return - try: - self.websocket_server.manager.broadcast(ws_message) - except ConnectionResetError: - pass + # Pre-parse payload once for topics that need to read its contents. + parsed_payload: Any = None + if scope[0] in ( + "payload_camera", + "reshape_by_camera_key", + "reshape_job_state", + "reshape_stats", + ): + parsed_payload = _parse_json_payload(payload) + if parsed_payload is None: + # malformed payload — fail closed + return + + manager = self.websocket_server.manager + with manager.lock: + websockets = list(manager.websockets.values()) + + for ws in websockets: + if getattr(ws, "terminated", False): + continue + message = _materialize_for_ws( + ws, topic, ws_message, scope, parsed_payload, self.config + ) + if message is None: + continue + try: + ws.send(message) + except (ConnectionResetError, BrokenPipeError, ValueError): + pass def stop(self) -> None: if self.websocket_server is not None: diff --git a/frigate/config/camera/camera.py b/frigate/config/camera/camera.py index 529b8e45cf..fe2bee647f 100644 --- a/frigate/config/camera/camera.py +++ b/frigate/config/camera/camera.py @@ -76,7 +76,7 @@ def handle_friendly_name(cls, values): # Options with global fallback audio: AudioConfig = Field( default_factory=AudioConfig, - title="Audio events", + title="Audio detection", description="Settings for audio-based event detection for this camera.", ) audio_transcription: CameraAudioTranscriptionConfig = Field( diff --git a/frigate/config/camera/genai.py b/frigate/config/camera/genai.py index 721eeb60d8..5b94755723 100644 --- a/frigate/config/camera/genai.py +++ b/frigate/config/camera/genai.py @@ -37,12 +37,11 @@ class GenAIConfig(FrigateBaseModel): description="Base URL for self-hosted or compatible providers (for example an Ollama instance).", ) model: str = Field( - default="gpt-4o", + default="", title="Model", description="The model to use from the provider for generating descriptions or summaries.", ) - provider: GenAIProviderEnum | None = Field( - default=None, + provider: GenAIProviderEnum = Field( title="Provider", description="The GenAI provider to use (for example: ollama, gemini, openai).", ) diff --git a/frigate/config/camera/updater.py b/frigate/config/camera/updater.py index 1965f38137..b475f42157 100644 --- a/frigate/config/camera/updater.py +++ b/frigate/config/camera/updater.py @@ -20,11 +20,13 @@ class CameraConfigUpdateEnum(str, Enum): ffmpeg = "ffmpeg" live = "live" motion = "motion" # includes motion and motion masks + mqtt = "mqtt" notifications = "notifications" objects = "objects" object_genai = "object_genai" onvif = "onvif" record = "record" + refresh = "refresh" # signals the camera maintainer to recycle the camera process remove = "remove" # for removing a camera review = "review" review_genai = "review_genai" @@ -33,6 +35,7 @@ class CameraConfigUpdateEnum(str, Enum): lpr = "lpr" snapshots = "snapshots" timestamp_style = "timestamp_style" + ui = "ui" zones = "zones" @@ -82,8 +85,8 @@ def __update_config( self, camera: str, update_type: CameraConfigUpdateEnum, updated_config: Any ) -> None: if update_type == CameraConfigUpdateEnum.add: - self.config.cameras[camera] = updated_config - self.camera_configs[camera] = updated_config + shared = self.config.cameras.setdefault(camera, updated_config) + self.camera_configs[camera] = shared return elif update_type == CameraConfigUpdateEnum.remove: self.config.cameras.pop(camera, None) @@ -119,7 +122,10 @@ def __update_config( elif update_type == CameraConfigUpdateEnum.objects: config.objects = updated_config elif update_type == CameraConfigUpdateEnum.record: + old_enabled_in_config = config.record.enabled_in_config config.record = updated_config + if old_enabled_in_config != updated_config.enabled_in_config: + config.recreate_ffmpeg_cmds() elif update_type == CameraConfigUpdateEnum.review: config.review = updated_config elif update_type == CameraConfigUpdateEnum.review_genai: diff --git a/frigate/config/classification.py b/frigate/config/classification.py index 05d6edc762..708f854e3a 100644 --- a/frigate/config/classification.py +++ b/frigate/config/classification.py @@ -26,6 +26,11 @@ class EnrichmentsDeviceEnum(str, Enum): CPU = "CPU" +class ModelSizeEnum(str, Enum): + small = "small" + large = "large" + + class TriggerType(str, Enum): THUMBNAIL = "thumbnail" DESCRIPTION = "description" @@ -53,13 +58,13 @@ class AudioTranscriptionConfig(FrigateBaseModel): title="Transcription language", description="Language code used for transcription/translation (for example 'en' for English). See https://whisper-api.com/docs/languages/ for supported language codes.", ) - device: Optional[EnrichmentsDeviceEnum] = Field( + device: EnrichmentsDeviceEnum = Field( default=EnrichmentsDeviceEnum.CPU, title="Transcription device", description="Device key (CPU/GPU) to run the transcription model on. Only NVIDIA CUDA GPUs are currently supported for transcription.", ) - model_size: str = Field( - default="small", + model_size: ModelSizeEnum = Field( + default=ModelSizeEnum.small, title="Model size", description="Model size to use for offline audio event transcription.", ) @@ -189,8 +194,8 @@ def coerce_model_enum(cls, v): return v return v - model_size: str = Field( - default="small", + model_size: ModelSizeEnum = Field( + default=ModelSizeEnum.small, title="Model size", description="Select model size; 'small' runs on CPU and 'large' typically requires GPU.", ) @@ -253,8 +258,8 @@ class FaceRecognitionConfig(FrigateBaseModel): title="Enable face recognition", description="Enable or disable face recognition for all cameras; can be overridden per-camera.", ) - model_size: str = Field( - default="small", + model_size: ModelSizeEnum = Field( + default=ModelSizeEnum.small, title="Model size", description="Model size to use for face embeddings (small/large); larger may require GPU.", ) @@ -335,8 +340,8 @@ class LicensePlateRecognitionConfig(FrigateBaseModel): title="Enable LPR", description="Enable or disable license plate recognition for all cameras; can be overridden per-camera.", ) - model_size: str = Field( - default="small", + model_size: ModelSizeEnum = Field( + default=ModelSizeEnum.small, title="Model size", description="Model size used for text detection/recognition. Most users should use 'small'.", ) diff --git a/frigate/config/config.py b/frigate/config/config.py index de3438cd01..7aa6dac59d 100644 --- a/frigate/config/config.py +++ b/frigate/config/config.py @@ -1,5 +1,6 @@ from __future__ import annotations +import io import json import logging import os @@ -25,7 +26,6 @@ from frigate.util.builtin import ( deep_merge, get_ffmpeg_arg_list, - load_labels, ) from frigate.util.config import ( CURRENT_CONFIG_VERSION, @@ -80,17 +80,41 @@ yaml = YAML() +# Pydantic field default applied when an existing config omits `detectors:`. +# Kept as cpu tflite for backwards compatibility with 0.17 configs. +DEFAULT_DETECTORS = {"cpu": {"type": "cpu"}} + +# Used by the openvino branch below and rendered into the new-config YAML +# template so first-time setups default to openvino on CPU. +DEFAULT_MODEL = { + "width": 300, + "height": 300, + "input_tensor": "nhwc", + "input_pixel_format": "bgr", + "path": "/openvino-model/ssdlite_mobilenet_v2.xml", + "labelmap_path": "/openvino-model/coco_91cl_bkgr.txt", +} +NEW_CONFIG_DETECTORS = {"ov": {"type": "openvino", "device": "CPU"}} +DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720} + + +def _render_default_yaml(data: dict) -> str: + buf = io.StringIO() + _yaml_writer = YAML() + _yaml_writer.indent(mapping=2, sequence=4, offset=2) + _yaml_writer.dump(data, buf) + return buf.getvalue() + + DEFAULT_CONFIG = f""" mqtt: enabled: False +{_render_default_yaml({"detectors": NEW_CONFIG_DETECTORS, "model": DEFAULT_MODEL})} cameras: {{}} # No cameras defined, UI wizard should be used version: {CURRENT_CONFIG_VERSION} """ -DEFAULT_DETECTORS = {"cpu": {"type": "cpu"}} -DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720} - # stream info handler stream_info_retriever = StreamInfoRetriever() @@ -453,7 +477,7 @@ class FrigateConfig(FrigateBaseModel): cameras: Dict[str, CameraConfig] = Field(title="Cameras", description="Cameras") audio: AudioConfig = Field( default_factory=AudioConfig, - title="Audio events", + title="Audio detection", description="Settings for audio-based event detection for all cameras; can be overridden per-camera.", ) birdseye: BirdseyeConfig = Field( @@ -605,26 +629,22 @@ def post_validation(self, info: ValidationInfo) -> Self: # set default min_score for object attributes for attribute in self.model.all_attributes: - if not self.objects.filters.get(attribute): + existing = self.objects.filters.get(attribute) + if existing is None: self.objects.filters[attribute] = FilterConfig(min_score=0.7) - elif self.objects.filters[attribute].min_score == 0.5: - self.objects.filters[attribute].min_score = 0.7 + elif "min_score" not in existing.model_fields_set: + existing.min_score = 0.7 # auto detect hwaccel args if self.ffmpeg.hwaccel_args == "auto": self.ffmpeg.hwaccel_args = auto_detect_hwaccel() - # Populate global audio filters for all audio labels - all_audio_labels = { - label - for label in load_labels("/audio-labelmap.txt", prefill=521).values() - if label - } - + # Populate global audio filters from listen. Existing user-defined + # entries for labels not in listen are preserved but unused at runtime. if self.audio.filters is None: self.audio.filters = {} - for key in sorted(all_audio_labels - self.audio.filters.keys()): + for key in sorted(set(self.audio.listen) - self.audio.filters.keys()): self.audio.filters[key] = AudioFilterConfig() self.audio.filters = dict(sorted(self.audio.filters.items())) @@ -679,6 +699,9 @@ def post_validation(self, info: ValidationInfo) -> Self: model_config["path"] = "/cpu_model.tflite" elif detector_config.type == "edgetpu": model_config["path"] = "/edgetpu_model.tflite" + elif detector_config.type == "openvino": + for default_key, default_value in DEFAULT_MODEL.items(): + model_config.setdefault(default_key, default_value) model = ModelConfig.model_validate(model_config) model.check_and_load_plus_model(self.plus_api, detector_config.type) @@ -813,7 +836,9 @@ def post_validation(self, info: ValidationInfo) -> Self: if camera_config.audio.filters is None: camera_config.audio.filters = {} - for key in sorted(all_audio_labels - camera_config.audio.filters.keys()): + for key in sorted( + set(camera_config.audio.listen) - camera_config.audio.filters.keys() + ): camera_config.audio.filters[key] = AudioFilterConfig() camera_config.audio.filters = dict( @@ -835,7 +860,9 @@ def post_validation(self, info: ValidationInfo) -> Self: if mask_config: coords = mask_config.coordinates relative_coords = get_relative_coordinates( - coords, camera_config.frame_shape + coords, + camera_config.frame_shape, + camera_name=camera_config.name, ) # Create a new ObjectMaskConfig with raw_coordinates set processed_global_masks[mask_id] = ObjectMaskConfig( diff --git a/frigate/config/telemetry.py b/frigate/config/telemetry.py index 41c3f7bbc2..f85ff343f3 100644 --- a/frigate/config/telemetry.py +++ b/frigate/config/telemetry.py @@ -25,8 +25,8 @@ class StatsConfig(FrigateBaseModel): ) intel_gpu_device: Optional[str] = Field( default=None, - title="SR-IOV device", - description="Device identifier used when treating Intel GPUs as SR-IOV to fix GPU stats.", + title="Intel GPU device", + description="PCI bus address or DRM device path (e.g. /dev/dri/card1) used to pin Intel GPU stats to a specific device when multiple are present.", ) diff --git a/frigate/const.py b/frigate/const.py index 51e06e4ad8..dac04c4f1a 100644 --- a/frigate/const.py +++ b/frigate/const.py @@ -15,12 +15,14 @@ BIRDSEYE_PIPE = "/tmp/cache/birdseye" CACHE_DIR = "/tmp/cache" REPLAY_CAMERA_PREFIX = "_replay_" -REPLAY_DIR = os.path.join(CACHE_DIR, "replay") +REPLAY_DIR = os.path.join(CLIPS_DIR, "replay") PLUS_ENV_VAR = "PLUS_API_KEY" PLUS_API_HOST = "https://api.frigate.video" SHM_FRAMES_VAR = "SHM_MAX_FRAMES" +REDACTED_CREDENTIAL_SENTINEL = "__FRIGATE_SAVED_CREDENTIAL__" + # Attribute & Object constants DEFAULT_ATTRIBUTE_LABEL_MAP = { diff --git a/frigate/data_processing/common/face/model.py b/frigate/data_processing/common/face/model.py index 45e8b8939e..87293f7f02 100644 --- a/frigate/data_processing/common/face/model.py +++ b/frigate/data_processing/common/face/model.py @@ -133,6 +133,61 @@ def get_blur_confidence_reduction(self, input: np.ndarray) -> float: return 0.0 +def build_class_mean( + embs: list[np.ndarray], + trim: float = 0.15, + outlier_threshold: float = 0.30, + min_keep_frac: float = 0.7, + max_iters: int = 3, +) -> np.ndarray: + """Build a class-mean embedding with two-layer outlier protection. + + Layer 1 (iterative, vector-wise): drop whole embeddings whose cosine + similarity to the current class mean is below ``outlier_threshold``. + Catches mislabeled or corrupted training samples (wrong face in the + folder, full-frame screenshots, extreme crops) that per-dimension + trimming cannot detect. + + Layer 2 (per-dimension): ``scipy.stats.trim_mean`` on the retained set + to smooth per-component noise (lighting, expression, alignment jitter). + + Collections with fewer than 5 images bypass outlier rejection — too few + samples to establish a reliable class center. + """ + arr = np.stack(embs, axis=0) + + if len(arr) < 5: + return np.asarray(stats.trim_mean(arr, trim, axis=0)) + + keep = np.ones(len(arr), dtype=bool) + floor = max(5, int(np.ceil(min_keep_frac * len(arr)))) + + for _ in range(max_iters): + mean = stats.trim_mean(arr[keep], trim, axis=0) + m_norm = mean / (np.linalg.norm(mean) + 1e-9) + e_norms = arr / (np.linalg.norm(arr, axis=1, keepdims=True) + 1e-9) + cos = e_norms @ m_norm + new_keep = cos >= outlier_threshold + + if new_keep.sum() < floor: + top = np.argsort(-cos)[:floor] + new_keep = np.zeros(len(arr), dtype=bool) + new_keep[top] = True + + if np.array_equal(new_keep, keep): + break + keep = new_keep + + dropped = int((~keep).sum()) + + if dropped: + logger.debug( + f"Vector-wise outlier filter dropped {dropped}/{len(arr)} embeddings" + ) + + return np.asarray(stats.trim_mean(arr[keep], trim, axis=0)) + + def similarity_to_confidence( cosine_similarity: float, median: float = 0.3, @@ -229,7 +284,7 @@ def build(self) -> None: for name, embs in face_embeddings_map.items(): if embs: - self.mean_embs[name] = stats.trim_mean(embs, 0.15) + self.mean_embs[name] = build_class_mean(embs) logger.debug("Finished building ArcFace model") @@ -340,7 +395,7 @@ def build(self) -> None: for name, embs in face_embeddings_map.items(): if embs: - self.mean_embs[name] = stats.trim_mean(embs, 0.15) + self.mean_embs[name] = build_class_mean(embs) logger.debug("Finished building ArcFace model") diff --git a/frigate/data_processing/common/license_plate/mixin.py b/frigate/data_processing/common/license_plate/mixin.py index f767a5c2f4..7ebb464242 100644 --- a/frigate/data_processing/common/license_plate/mixin.py +++ b/frigate/data_processing/common/license_plate/mixin.py @@ -1073,10 +1073,6 @@ def _detect_license_plate( top_score = score top_box = bbox - if score > top_score: - top_score = score - top_box = bbox - # Return the top scoring bounding box if found if top_box is not None: # expand box by 5% to help with OCR @@ -1092,9 +1088,6 @@ def _detect_license_plate( ] ).clip(0, [input.shape[1], input.shape[0]] * 2) - logger.debug( - f"{camera}: Found license plate. Bounding box: {expanded_box.astype(int)}" - ) return tuple(int(x) for x in expanded_box) # type: ignore[return-value] else: return None # No detection above the threshold @@ -1360,8 +1353,8 @@ def lpr_process( ) # check that license plate is valid - # double the value because we've doubled the size of the car - if license_plate_area < self.config.cameras[camera].lpr.min_area * 2: + # quadruple the value because we've doubled both dimensions of the car + if license_plate_area < self.config.cameras[camera].lpr.min_area * 4: logger.debug(f"{camera}: License plate is less than min_area") return @@ -1465,6 +1458,7 @@ def lpr_process( license_plate_frame, ) + logger.debug(f"{camera}: Found license plate. Bounding box: {list(plate_box)}") logger.debug(f"{camera}: Running plate recognition for id: {id}.") # run detection, returns results sorted by confidence, best first diff --git a/frigate/data_processing/post/object_descriptions.py b/frigate/data_processing/post/object_descriptions.py index babdb72521..6404b38516 100644 --- a/frigate/data_processing/post/object_descriptions.py +++ b/frigate/data_processing/post/object_descriptions.py @@ -269,7 +269,9 @@ def _process_genai_description( if event.has_snapshot and camera_config.objects.genai.use_snapshot: snapshot_image = self._read_and_crop_snapshot(event) + if not snapshot_image: + self.cleanup_event(event_id) return num_thumbnails = len(self.tracked_events.get(event_id, [])) diff --git a/frigate/data_processing/post/review_descriptions.py b/frigate/data_processing/post/review_descriptions.py index 536b57f3c5..3740ac25f7 100644 --- a/frigate/data_processing/post/review_descriptions.py +++ b/frigate/data_processing/post/review_descriptions.py @@ -39,6 +39,8 @@ RECORDING_BUFFER_EXTENSION_PERCENT = 0.10 MIN_RECORDING_DURATION = 10 +MAX_IMAGE_TOKENS = 24000 +MAX_FRAMES_PER_SECOND = 1 class ReviewDescriptionProcessor(PostProcessorApi): @@ -60,14 +62,22 @@ def __init__( def calculate_frame_count( self, camera: str, + duration: float, image_source: ImageSourceEnum = ImageSourceEnum.preview, height: int = 480, ) -> int: - """Calculate optimal number of frames based on context size, image source, and resolution. - - Token usage varies by resolution: larger images (ultra-wide aspect ratios) use more tokens. - Estimates ~1 token per 1250 pixels. Targets 98% context utilization with safety margin. - Capped at 20 frames. + """Calculate optimal number of frames based on event duration, context size, + image source, and resolution. + + Per-image token cost is asked of the GenAI provider so providers that know + their model's true cost (e.g. llama.cpp can probe the loaded mmproj) can + diverge from the default ~1-token-per-1250-pixels heuristic. The frame + budget is bounded by: + - remaining context window after prompt + response reservations + - a fixed MAX_IMAGE_TOKENS ceiling + - MAX_FRAMES_PER_SECOND x duration, to avoid drowning short events in + near-duplicate frames where the model latches onto the redundant middle + and skips the start/end action """ client = self.genai_manager.description_client @@ -105,14 +115,15 @@ def calculate_frame_count( width = target_width height = int(target_width / aspect_ratio) - pixels_per_image = width * height - tokens_per_image = pixels_per_image / 1250 + tokens_per_image = client.estimate_image_tokens(width, height) prompt_tokens = 3800 response_tokens = 300 - available_tokens = context_size - prompt_tokens - response_tokens - max_frames = int(available_tokens / tokens_per_image) - - return min(max(max_frames, 3), 20) + context_budget = context_size - prompt_tokens - response_tokens + image_token_budget = min(context_budget, MAX_IMAGE_TOKENS) + max_frames_by_tokens = int(image_token_budget / tokens_per_image) + max_frames_by_duration = int(duration * MAX_FRAMES_PER_SECOND) + max_frames = min(max_frames_by_tokens, max_frames_by_duration) + return max(max_frames, 3) def process_data( self, data: dict[str, Any], data_type: PostProcessDataEnum @@ -355,12 +366,17 @@ def get_cache_frames( file_start = f"preview_{camera}-" start_file = f"{file_start}{start_time}.webp" end_file = f"{file_start}{end_time}.webp" - all_frames: list[str] = [] - for file in sorted(os.listdir(preview_dir)): - if not file.startswith(file_start): - continue + camera_files = [ + entry.name + for entry in os.scandir(preview_dir) + if entry.name.startswith(file_start) + ] + camera_files.sort() + all_frames: list[str] = [] + + for file in camera_files: if file < start_file: if len(all_frames): all_frames[0] = os.path.join(preview_dir, file) @@ -376,7 +392,9 @@ def get_cache_frames( all_frames.append(os.path.join(preview_dir, file)) frame_count = len(all_frames) - desired_frame_count = self.calculate_frame_count(camera) + desired_frame_count = self.calculate_frame_count( + camera, duration=end_time - start_time + ) if frame_count <= desired_frame_count: return all_frames @@ -400,7 +418,7 @@ def get_recording_frames( """Get frames from recordings at specified timestamps.""" duration = end_time - start_time desired_frame_count = self.calculate_frame_count( - camera, ImageSourceEnum.recordings, height + camera, duration, ImageSourceEnum.recordings, height ) # Calculate evenly spaced timestamps throughout the duration diff --git a/frigate/data_processing/post/types.py b/frigate/data_processing/post/types.py index 6906f4a4ee..3698e99a85 100644 --- a/frigate/data_processing/post/types.py +++ b/frigate/data_processing/post/types.py @@ -1,21 +1,37 @@ -from pydantic import BaseModel, ConfigDict, Field +from typing import Annotated + +from pydantic import BaseModel, ConfigDict, Field, StringConstraints + +ObservationItem = Annotated[str, StringConstraints(min_length=20, max_length=200)] class ReviewMetadata(BaseModel): model_config = ConfigDict(extra="ignore", protected_namespaces=()) - title: str = Field( - description="A short title characterizing what took place and where, under 10 words." + observations: list[ObservationItem] = Field( + ..., + min_length=3, + max_length=8, + description="Enumerate the significant observations across all frames, in chronological order.", ) scene: str = Field( - description="A chronological narrative of what happens from start to finish." + min_length=150, + max_length=600, + description="A chronological narrative of what happens from start to finish, drawing directly from the items in observations.", + ) + title: str = Field( + max_length=80, + description="Title for the activity.", ) shortSummary: str = Field( - description="A brief 2-sentence summary of the scene, suitable for notifications." + min_length=70, + max_length=140, + description="A brief summary for the activity.", ) confidence: float = Field( ge=0.0, - description="Confidence in the analysis, from 0 to 1.", + le=1.0, + description="Confidence in the analysis as a decimal between 0.0 and 1.0, where 0.0 means no confidence and 1.0 means complete confidence. Express ONLY as a decimal.", ) potential_threat_level: int = Field( ge=0, diff --git a/frigate/data_processing/real_time/face.py b/frigate/data_processing/real_time/face.py index c6b6346b54..c5c4ec56f0 100644 --- a/frigate/data_processing/real_time/face.py +++ b/frigate/data_processing/real_time/face.py @@ -229,9 +229,10 @@ def process_frame(self, obj_data: dict[str, Any], frame: np.ndarray) -> None: logger.debug(f"No person box available for {id}") return - rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420) + # YuNet (cv2.FaceDetectorYN) is trained on BGR + bgr = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420) left, top, right, bottom = person_box - person = rgb[top:bottom, left:right] + person = bgr[top:bottom, left:right] face_box = self.__detect_face(person, self.face_config.detection_threshold) if not face_box: @@ -250,11 +251,6 @@ def process_frame(self, obj_data: dict[str, Any], frame: np.ndarray) -> None: ) return - try: - face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR) - except Exception as e: - logger.debug(f"Failed to convert face frame color for {id}: {e}") - return else: # don't run for object without attributes if not obj_data.get("current_attributes"): diff --git a/frigate/debug_replay.py b/frigate/debug_replay.py index 15ca3777ac..ea95e153c1 100644 --- a/frigate/debug_replay.py +++ b/frigate/debug_replay.py @@ -1,10 +1,15 @@ -"""Debug replay camera management for replaying recordings with detection overlays.""" +"""Debug replay camera management for replaying recordings with detection overlays. + +The startup work (ffmpeg concat + camera config publish) lives in +frigate.jobs.debug_replay. This module owns only session presence +(active), session metadata, and post-session cleanup. +""" import logging import os import shutil -import subprocess as sp import threading +import time from ruamel.yaml import YAML @@ -21,7 +26,15 @@ REPLAY_DIR, THUMB_DIR, ) -from frigate.models import Recordings +from frigate.jobs.debug_replay import ( + JOB_TYPE as DEBUG_REPLAY_JOB_TYPE, +) +from frigate.jobs.debug_replay import ( + cancel_debug_replay_job, + wait_for_runner, +) +from frigate.jobs.export import JobStatePublisher +from frigate.types import JobStatusTypesEnum from frigate.util.camera_cleanup import cleanup_camera_db, cleanup_camera_files from frigate.util.config import find_config_file @@ -29,7 +42,14 @@ class DebugReplayManager: - """Manages a single debug replay session.""" + """Owns the lifecycle pointers for a single debug replay session. + + A session exists from the moment mark_starting is called (synchronously, + inside the API handler) until clear_session runs (on success cleanup, + failure, or stop). The active property is the source of truth that the + status bar consumes — broader than the startup job, which only covers the + preparing_clip / starting_camera window. + """ def __init__(self) -> None: self._lock = threading.Lock() @@ -38,147 +58,70 @@ def __init__(self) -> None: self.clip_path: str | None = None self.start_ts: float | None = None self.end_ts: float | None = None + self._job_state_publisher = JobStatePublisher() @property def active(self) -> bool: - """Whether a replay session is currently active.""" + """True from mark_starting until clear_session.""" return self.replay_camera_name is not None - def start( + def mark_starting( self, source_camera: str, + replay_camera_name: str, start_ts: float, end_ts: float, - frigate_config: FrigateConfig, - config_publisher: CameraConfigUpdatePublisher, - ) -> str: - """Start a debug replay session. - - Args: - source_camera: Name of the source camera to replay - start_ts: Start timestamp - end_ts: End timestamp - frigate_config: Current Frigate configuration - config_publisher: Publisher for camera config updates - - Returns: - The replay camera name - - Raises: - ValueError: If a session is already active or parameters are invalid - RuntimeError: If clip generation fails + ) -> None: + """Synchronously claim the session before the job runner starts. + + Called inside the API handler so the status bar sees active=True + immediately, before the worker thread does any ffmpeg work. """ with self._lock: - return self._start_locked( - source_camera, start_ts, end_ts, frigate_config, config_publisher - ) + self.replay_camera_name = replay_camera_name + self.source_camera = source_camera + self.start_ts = start_ts + self.end_ts = end_ts + self.clip_path = None + + def mark_session_ready(self, clip_path: str) -> None: + """Record the on-disk clip path after the camera has been published.""" + with self._lock: + self.clip_path = clip_path + + def clear_session(self) -> None: + """Reset session pointers without publishing camera removal. + + Used by the job runner on failure paths. stop() does the camera + teardown plus this clear in one step. + """ + with self._lock: + self._clear_locked() - def _start_locked( + def _clear_locked(self) -> None: + self.replay_camera_name = None + self.source_camera = None + self.clip_path = None + self.start_ts = None + self.end_ts = None + + def publish_camera( self, source_camera: str, - start_ts: float, - end_ts: float, + replay_name: str, + clip_path: str, frigate_config: FrigateConfig, config_publisher: CameraConfigUpdatePublisher, - ) -> str: - if self.active: - raise ValueError("A replay session is already active") - - if source_camera not in frigate_config.cameras: - raise ValueError(f"Camera '{source_camera}' not found") - - if end_ts <= start_ts: - raise ValueError("End time must be after start time") - - # Query recordings for the source camera in the time range - recordings = ( - Recordings.select( - Recordings.path, - Recordings.start_time, - Recordings.end_time, - ) - .where( - Recordings.start_time.between(start_ts, end_ts) - | Recordings.end_time.between(start_ts, end_ts) - | ((start_ts > Recordings.start_time) & (end_ts < Recordings.end_time)) - ) - .where(Recordings.camera == source_camera) - .order_by(Recordings.start_time.asc()) - ) - - if not recordings.count(): - raise ValueError( - f"No recordings found for camera '{source_camera}' in the specified time range" - ) - - # Create replay directory - os.makedirs(REPLAY_DIR, exist_ok=True) - - # Generate replay camera name - replay_name = f"{REPLAY_CAMERA_PREFIX}{source_camera}" - - # Build concat file for ffmpeg - concat_file = os.path.join(REPLAY_DIR, f"{replay_name}_concat.txt") - clip_path = os.path.join(REPLAY_DIR, f"{replay_name}.mp4") - - with open(concat_file, "w") as f: - for recording in recordings: - f.write(f"file '{recording.path}'\n") - - # Concatenate recordings into a single clip with -c copy (fast) - ffmpeg_cmd = [ - frigate_config.ffmpeg.ffmpeg_path, - "-hide_banner", - "-y", - "-f", - "concat", - "-safe", - "0", - "-i", - concat_file, - "-c", - "copy", - "-movflags", - "+faststart", - clip_path, - ] - - logger.info( - "Generating replay clip for %s (%.1f - %.1f)", - source_camera, - start_ts, - end_ts, - ) - - try: - result = sp.run( - ffmpeg_cmd, - capture_output=True, - text=True, - timeout=120, - ) - if result.returncode != 0: - logger.error("FFmpeg error: %s", result.stderr) - raise RuntimeError( - f"Failed to generate replay clip: {result.stderr[-500:]}" - ) - except sp.TimeoutExpired: - raise RuntimeError("Clip generation timed out") - finally: - # Clean up concat file - if os.path.exists(concat_file): - os.remove(concat_file) - - if not os.path.exists(clip_path): - raise RuntimeError("Clip file was not created") + ) -> None: + """Build the in-memory replay camera config and publish the add event. - # Build camera config dict for the replay camera + Called by the job runner during the starting_camera phase. + """ source_config = frigate_config.cameras[source_camera] camera_dict = self._build_camera_config_dict( source_config, replay_name, clip_path ) - # Build an in-memory config with the replay camera added config_file = find_config_file() yaml_parser = YAML() with open(config_file, "r") as f: @@ -191,75 +134,65 @@ def _start_locked( try: new_config = FrigateConfig.parse_object(config_data) except Exception as e: - raise RuntimeError(f"Failed to validate replay camera config: {e}") - - # Update the running config + raise RuntimeError(f"Failed to validate replay camera config: {e}") from e frigate_config.cameras[replay_name] = new_config.cameras[replay_name] - # Publish the add event config_publisher.publish_update( CameraConfigUpdateTopic(CameraConfigUpdateEnum.add, replay_name), new_config.cameras[replay_name], ) - # Store session state - self.replay_camera_name = replay_name - self.source_camera = source_camera - self.clip_path = clip_path - self.start_ts = start_ts - self.end_ts = end_ts - - logger.info("Debug replay started: %s -> %s", source_camera, replay_name) - return replay_name - def stop( self, frigate_config: FrigateConfig, config_publisher: CameraConfigUpdatePublisher, ) -> None: - """Stop the active replay session and clean up all artifacts. + """Cancel any in-flight startup job and tear down the active session. - Args: - frigate_config: Current Frigate configuration - config_publisher: Publisher for camera config updates + Safe to call when no session is active (no-op with a warning). """ - with self._lock: - self._stop_locked(frigate_config, config_publisher) - - def _stop_locked( - self, - frigate_config: FrigateConfig, - config_publisher: CameraConfigUpdatePublisher, - ) -> None: - if not self.active: - logger.warning("No active replay session to stop") - return + cancel_debug_replay_job() + wait_for_runner(timeout=2.0) - replay_name = self.replay_camera_name - - # Publish remove event so subscribers stop and remove from their config - if replay_name in frigate_config.cameras: - config_publisher.publish_update( - CameraConfigUpdateTopic(CameraConfigUpdateEnum.remove, replay_name), - frigate_config.cameras[replay_name], + with self._lock: + if not self.active: + logger.warning("No active replay session to stop") + return + + replay_name = self.replay_camera_name + source_camera = self.source_camera + + # Only publish remove if the camera was actually added to the live + # config (i.e. the runner reached the starting_camera phase). + if replay_name is not None and replay_name in frigate_config.cameras: + config_publisher.publish_update( + CameraConfigUpdateTopic(CameraConfigUpdateEnum.remove, replay_name), + frigate_config.cameras[replay_name], + ) + frigate_config.cameras.pop(replay_name, None) + + if replay_name is not None: + self._cleanup_db(replay_name) + self._cleanup_files(replay_name) + + self._job_state_publisher.publish( + { + "id": "stopped", + "job_type": DEBUG_REPLAY_JOB_TYPE, + "status": JobStatusTypesEnum.cancelled, + "start_time": None, + "end_time": time.time(), + "error_message": None, + "results": { + "source_camera": source_camera, + "replay_camera_name": replay_name, + }, + } ) - # Do NOT pop here — let subscribers handle removal from the shared - # config dict when they process the ZMQ message to avoid race conditions - - # Defensive DB cleanup - self._cleanup_db(replay_name) - - # Remove filesystem artifacts - self._cleanup_files(replay_name) - # Reset state - self.replay_camera_name = None - self.source_camera = None - self.clip_path = None - self.start_ts = None - self.end_ts = None + self._clear_locked() - logger.info("Debug replay stopped and cleaned up: %s", replay_name) + logger.info("Debug replay stopped and cleaned up: %s", replay_name) def _build_camera_config_dict( self, @@ -267,16 +200,7 @@ def _build_camera_config_dict( replay_name: str, clip_path: str, ) -> dict: - """Build a camera config dictionary for the replay camera. - - Args: - source_config: Source camera's CameraConfig - replay_name: Name for the replay camera - clip_path: Path to the replay clip file - - Returns: - Camera config as a dictionary - """ + """Build a camera config dictionary for the replay camera.""" # Extract detect config (exclude computed fields) detect_dict = source_config.detect.model_dump( exclude={"min_initialized", "max_disappeared", "enabled_in_config"} @@ -311,10 +235,13 @@ def _build_camera_config_dict( zone_dump = zone_config.model_dump( exclude={"contour", "color"}, exclude_defaults=True ) - # Always include required fields zone_dump.setdefault("coordinates", zone_config.coordinates) zones_dict[zone_name] = zone_dump + # Extract LPR and face recognition configs + lpr_dict = source_config.lpr.model_dump() + face_recognition_dict = source_config.face_recognition.model_dump() + # Extract motion config (exclude runtime fields) motion_dict = {} if source_config.motion is not None: @@ -323,11 +250,23 @@ def _build_camera_config_dict( "frame_shape", "raw_mask", "mask", - "improved_contrast_enabled", + "enabled_in_config", "rasterized_mask", } ) + if source_config.motion.mask: + motion_dict["mask"] = { + mask_id: ( + mask_cfg.model_dump( + exclude={"raw_coordinates", "enabled_in_config"} + ) + if mask_cfg is not None + else None + ) + for mask_id, mask_cfg in source_config.motion.mask.items() + } + return { "enabled": True, "ffmpeg": { @@ -352,8 +291,8 @@ def _build_camera_config_dict( }, "birdseye": {"enabled": False}, "audio": {"enabled": False}, - "lpr": {"enabled": False}, - "face_recognition": {"enabled": False}, + "lpr": lpr_dict, + "face_recognition": face_recognition_dict, } def _cleanup_db(self, camera_name: str) -> None: diff --git a/frigate/detectors/detection_runners.py b/frigate/detectors/detection_runners.py index d12c8b733d..c89cd8b44f 100644 --- a/frigate/detectors/detection_runners.py +++ b/frigate/detectors/detection_runners.py @@ -79,7 +79,11 @@ def is_openvino_gpu_npu_available() -> bool: available_devices = get_openvino_available_devices() # Check for GPU, NPU, or other acceleration devices (excluding CPU) acceleration_devices = ["GPU", "MYRIAD", "NPU", "GNA", "HDDL"] - return any(device in available_devices for device in acceleration_devices) + return any( + avail_dev == accel_dev or avail_dev.startswith(accel_dev + ".") + for avail_dev in available_devices + for accel_dev in acceleration_devices + ) class BaseModelRunner(ABC): @@ -132,7 +136,6 @@ def is_migraphx_complex_model(model_type: str) -> bool: return model_type in [ EnrichmentModelTypeEnum.paddleocr.value, EnrichmentModelTypeEnum.jina_v2.value, - EnrichmentModelTypeEnum.arcface.value, ModelTypeEnum.rfdetr.value, ModelTypeEnum.dfine.value, ] @@ -279,6 +282,13 @@ def is_model_npu_supported(model_type: str) -> bool: EnrichmentModelTypeEnum.arcface.value, ] + @staticmethod + def is_detection_model(model_type: str) -> bool: + # Import here to avoid circular imports + from frigate.detectors.detector_config import ModelTypeEnum + + return model_type in [m.value for m in ModelTypeEnum] + def __init__(self, model_path: str, device: str, model_type: str, **kwargs): self.model_path = model_path self.device = device @@ -307,9 +317,15 @@ def __init__(self, model_path: str, device: str, model_type: str, **kwargs): # Apply performance optimization self.ov_core.set_property(device, {"PERF_COUNT": "NO"}) - if device in ["GPU", "AUTO"]: + if device in ["GPU", "AUTO", "NPU"]: self.ov_core.set_property(device, {"PERFORMANCE_HINT": "LATENCY"}) + if device == "NPU" and OpenVINOModelRunner.is_detection_model(model_type): + try: + self.ov_core.set_property(device, {"NPU_TURBO": "YES"}) + except Exception as e: + logger.debug(f"NPU_TURBO not supported by driver: {e}") + # Compile model self.compiled_model = self.ov_core.compile_model( model=model_path, device_name=device diff --git a/frigate/detectors/plugins/openvino.py b/frigate/detectors/plugins/openvino.py index f73b7cb0cc..1e9fb1ab10 100644 --- a/frigate/detectors/plugins/openvino.py +++ b/frigate/detectors/plugins/openvino.py @@ -52,6 +52,12 @@ def __init__(self, detector_config: OvDetectorConfig): self.h = detector_config.model.height self.w = detector_config.model.width + logger.info( + "Loading OpenVINO model %s on device %s", + detector_config.model.path, + detector_config.device, + ) + self.runner = OpenVINOModelRunner( model_path=detector_config.model.path, device=detector_config.device, diff --git a/frigate/embeddings/__init__.py b/frigate/embeddings/__init__.py index 5e14d0d8c3..7e54d97036 100644 --- a/frigate/embeddings/__init__.py +++ b/frigate/embeddings/__init__.py @@ -4,6 +4,7 @@ import json import logging import os +import sys import threading from json.decoder import JSONDecodeError from multiprocessing.synchronize import Event as MpEvent @@ -52,6 +53,14 @@ def run(self) -> None: self.stop_event, ) maintainer.start() + maintainer.join() + + # If the maintainer thread exited but no shutdown was requested, it + # crashed. Surface as a non-zero exit so the watchdog restarts us + # instead of treating the silent thread death as a clean shutdown. + if not self.stop_event.is_set(): + logger.error("Embeddings maintainer thread exited unexpectedly") + sys.exit(1) class EmbeddingsContext: diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py index ea1c9a1186..52bdf5d915 100644 --- a/frigate/embeddings/maintainer.py +++ b/frigate/embeddings/maintainer.py @@ -60,7 +60,11 @@ ) from frigate.data_processing.types import DataProcessorMetrics, PostProcessDataEnum from frigate.db.sqlitevecq import SqliteVecQueueDatabase -from frigate.events.types import EventTypeEnum, RegenerateDescriptionEnum +from frigate.events.types import ( + EventStateEnum, + EventTypeEnum, + RegenerateDescriptionEnum, +) from frigate.genai import GenAIClientManager from frigate.models import Event, Recordings, ReviewSegment, Trigger from frigate.types import TrackedObjectUpdateTypesEnum @@ -94,10 +98,17 @@ def __init__( [ CameraConfigUpdateEnum.add, CameraConfigUpdateEnum.remove, + CameraConfigUpdateEnum.detect, + CameraConfigUpdateEnum.face_recognition, + CameraConfigUpdateEnum.ffmpeg, + CameraConfigUpdateEnum.lpr, + CameraConfigUpdateEnum.motion, + CameraConfigUpdateEnum.objects, CameraConfigUpdateEnum.object_genai, CameraConfigUpdateEnum.review, CameraConfigUpdateEnum.review_genai, CameraConfigUpdateEnum.semantic_search, + CameraConfigUpdateEnum.zones, ], ) self.enrichment_config_subscriber = ConfigSubscriber("config/") @@ -228,7 +239,7 @@ def __init__( ) ) - if self.config.audio_transcription.enabled and any( + if any( c.enabled_in_config and c.audio_transcription.enabled for c in self.config.cameras.values() ): @@ -310,6 +321,10 @@ def _check_enrichment_config_updates(self) -> None: self._handle_custom_classification_update(topic, payload) return + if topic == "config/genai": + self.config.genai = payload + self.genai_manager.update_config(self.config) + # Broadcast to all processors — each decides if the topic is relevant for processor in self.realtime_processors: processor.update_config(topic, payload) @@ -431,7 +446,7 @@ def _process_updates(self) -> None: if update is None: return - source_type, _, camera, frame_name, data = update + source_type, event_type, camera, frame_name, data = update logger.debug( f"Received update - source_type: {source_type}, camera: {camera}, data label: {data.get('label') if data else 'None'}" @@ -481,6 +496,12 @@ def _process_updates(self) -> None: for processor in self.post_processors: if isinstance(processor, ObjectDescriptionProcessor): + # skip end events — _process_finalized handles them via event_end_subscriber. + # processing them here can re-create tracked_events entries after cleanup + # when the event_subscriber queue is backlogged behind event_end_subscriber. + if event_type == EventStateEnum.end: + continue + processor.process_data( { "camera": camera, @@ -513,10 +534,16 @@ def _process_finalized(self) -> None: try: event: Event = Event.get(Event.id == event_id) except DoesNotExist: + for processor in self.post_processors: + if isinstance(processor, ObjectDescriptionProcessor): + processor.cleanup_event(event_id) continue # Skip the event if not an object if event.data.get("type") != "object": + for processor in self.post_processors: + if isinstance(processor, ObjectDescriptionProcessor): + processor.cleanup_event(event_id) continue # Extract valid thumbnail diff --git a/frigate/events/audio.py b/frigate/events/audio.py index f6c41fa30b..b90b795778 100644 --- a/frigate/events/audio.py +++ b/frigate/events/audio.py @@ -84,7 +84,6 @@ class AudioProcessor(FrigateProcess): def __init__( self, config: FrigateConfig, - cameras: list[CameraConfig], camera_metrics: DictProxy, stop_event: MpEvent, ): @@ -93,16 +92,18 @@ def __init__( ) self.camera_metrics = camera_metrics - self.cameras = cameras self.config = config def run(self) -> None: self.pre_run_setup(self.config.logger) - audio_threads: list[AudioEventMaintainer] = [] + audio_threads: dict[str, AudioEventMaintainer] = {} threading.current_thread().name = "process:audio_manager" - if self.config.audio_transcription.enabled: + if any( + c.enabled_in_config and c.audio_transcription.enabled + for c in self.config.cameras.values() + ): self.transcription_model_runner: AudioTranscriptionModelRunner | None = ( AudioTranscriptionModelRunner( self.config.audio_transcription.device or "AUTO", @@ -112,32 +113,56 @@ def run(self) -> None: else: self.transcription_model_runner = None - if len(self.cameras) == 0: - return + config_subscriber = CameraConfigUpdateSubscriber( + self.config, + self.config.cameras, + [ + CameraConfigUpdateEnum.add, + CameraConfigUpdateEnum.audio, + CameraConfigUpdateEnum.ffmpeg, + ], + ) - for camera in self.cameras: - audio_thread = AudioEventMaintainer( + def spawn_if_needed(camera: CameraConfig) -> None: + name = camera.name + if name is None or name in audio_threads: + return + if not camera.enabled or not camera.audio.enabled: + return + # ffmpeg update may not have arrived yet; wait for next poll + if not any("audio" in i.roles for i in camera.ffmpeg.inputs): + return + thread = AudioEventMaintainer( camera, self.config, self.camera_metrics, self.transcription_model_runner, self.stop_event, # type: ignore[arg-type] ) - audio_threads.append(audio_thread) - audio_thread.start() + audio_threads[name] = thread + thread.start() + self.logger.info(f"Audio maintainer started for {name}") + + for camera in self.config.cameras.values(): + spawn_if_needed(camera) self.logger.info(f"Audio processor started (pid: {self.pid})") - while not self.stop_event.wait(): - pass + # poll for newly added cameras or cameras flipped to audio.enabled at runtime + while not self.stop_event.wait(timeout=1.0): + config_subscriber.check_for_updates() + for camera in self.config.cameras.values(): + spawn_if_needed(camera) + + config_subscriber.stop() - for thread in audio_threads: + for thread in audio_threads.values(): thread.join(1) if thread.is_alive(): self.logger.info(f"Waiting for thread {thread.name:s} to exit") thread.join(10) - for thread in audio_threads: + for thread in audio_threads.values(): if thread.is_alive(): self.logger.warning(f"Thread {thread.name} is still alive") @@ -184,7 +209,7 @@ def __init__( self.detection_publisher = DetectionPublisher(DetectionTypeEnum.audio.value) if ( - self.config.audio_transcription.enabled + self.camera_config.audio_transcription.enabled and self.audio_transcription_model_runner is not None ): # init the transcription processor for this camera @@ -205,6 +230,7 @@ def __init__( self.transcription_thread.start() self.was_enabled = camera.enabled + self.was_audio_enabled = camera.audio.enabled def detect_audio(self, audio: np.ndarray) -> None: if not self.camera_config.audio.enabled or self.stop_event.is_set(): @@ -363,6 +389,17 @@ def run(self) -> None: time.sleep(0.1) continue + audio_enabled = self.camera_config.audio.enabled + if audio_enabled != self.was_audio_enabled: + if not audio_enabled: + self.logger.debug( + f"Disabling audio detections for {self.camera_config.name}, ending events" + ) + self.requestor.send_data( + EXPIRE_AUDIO_ACTIVITY, self.camera_config.name + ) + self.was_audio_enabled = audio_enabled + self.read_audio() if self.audio_listener: diff --git a/frigate/genai/__init__.py b/frigate/genai/__init__.py index d95dd2cae2..bca5e6d691 100644 --- a/frigate/genai/__init__.py +++ b/frigate/genai/__init__.py @@ -1,19 +1,25 @@ """Generative AI module for Frigate.""" -import datetime import importlib +import json import logging import os import re -from typing import Any, Callable, Optional +from typing import Any, AsyncGenerator, Callable, Optional import numpy as np -from playhouse.shortcuts import model_to_dict +from pydantic import ValidationError from frigate.config import CameraConfig, GenAIConfig, GenAIProviderEnum from frigate.const import CLIPS_DIR from frigate.data_processing.post.types import ReviewMetadata from frigate.genai.manager import GenAIClientManager +from frigate.genai.prompts import ( + build_object_description_prompt, + build_review_description_prompt, + build_review_description_response_format, + build_review_summary_prompt, +) from frigate.models import Event logger = logging.getLogger(__name__) @@ -44,9 +50,15 @@ def decorator(cls: type) -> type: class GenAIClient: """Generative AI client for Frigate.""" - def __init__(self, genai_config: GenAIConfig, timeout: int = 120) -> None: + def __init__( + self, + genai_config: GenAIConfig, + timeout: int = 120, + validate_model: bool = True, + ) -> None: self.genai_config: GenAIConfig = genai_config self.timeout = timeout + self.validate_model = validate_model self.provider = self._init_provider() def generate_review_description( @@ -59,74 +71,14 @@ def generate_review_description( activity_context_prompt: str, ) -> ReviewMetadata | None: """Generate a description for the review item activity.""" + context_prompt = build_review_description_prompt( + review_data, + thumbnails, + concerns, + preferred_language, + activity_context_prompt, + ) - def get_concern_prompt() -> str: - if concerns: - concern_list = "\n - ".join(concerns) - return f"""- `other_concerns` (list of strings): Include a list of any of the following concerns that are occurring: - - {concern_list}""" - else: - return "" - - def get_language_prompt() -> str: - if preferred_language: - return f"Provide your answer in {preferred_language}" - else: - return "" - - def get_objects_list() -> str: - if review_data["unified_objects"]: - return "\n- " + "\n- ".join(review_data["unified_objects"]) - else: - return "\n- (No objects detected)" - - context_prompt = f""" -Your task is to analyze a sequence of images taken in chronological order from a security camera. - -## Normal Activity Patterns for This Property - -{activity_context_prompt} - -## Task Instructions - -Describe the scene based on observable actions and movements, evaluate the activity against the Activity Indicators above, and assign a potential_threat_level (0, 1, or 2) by applying the threat level indicators consistently. - -## Analysis Guidelines - -When forming your description: -- **CRITICAL: Only describe objects explicitly listed in "Objects in Scene" below.** Do not infer or mention additional people, vehicles, or objects not present in this list, even if visual patterns suggest them. If only a car is listed, do not describe a person interacting with it unless "person" is also in the objects list. -- **Only describe actions actually visible in the frames.** Do not assume or infer actions that you don't observe happening. If someone walks toward furniture but you never see them sit, do not say they sat. Stick to what you can see across the sequence. -- Describe what you observe: actions, movements, interactions with objects and the environment. Include any observable environmental changes (e.g., lighting changes triggered by activity). -- Note visible details such as clothing, items being carried or placed, tools or equipment present, and how they interact with the property or objects. -- Consider the full sequence chronologically: what happens from start to finish, how duration and actions relate to the location and objects involved. -- **Use the actual timestamp provided in "Activity started at"** below for time of day context—do not infer time from image brightness or darkness. Unusual hours (late night/early morning) should increase suspicion when the observable behavior itself appears questionable. However, recognize that some legitimate activities can occur at any hour. -- **Consider duration as a primary factor**: Apply the duration thresholds defined in the activity patterns above. Brief sequences during normal hours with apparent purpose typically indicate normal activity unless explicit suspicious actions are visible. -- **Weigh all evidence holistically**: Match the activity against the normal and suspicious patterns defined above, then evaluate based on the complete context (zone, objects, time, actions, duration). Apply the threat level indicators consistently. Use your judgment for edge cases. - -## Response Field Guidelines - -Respond with a JSON object matching the provided schema. Field-specific guidance: -- `scene`: Describe how the sequence begins, then the progression of events — all significant movements and actions in order. For example, if a vehicle arrives and then a person exits, describe both sequentially. For named subjects (those with a `←` separator in "Objects in Scene"), always use their name — do not replace them with generic terms. For unnamed objects (e.g., "person", "car"), refer to them naturally with articles (e.g., "a person", "the car"). Your description should align with and support the threat level you assign. -- `title`: Characterize **what took place and where** — interpret the overall purpose or outcome, do not simply compress the scene description into fewer words. Include the relevant location (zone, area, or entry point). For named subjects, always use their name. For unnamed objects, refer to them naturally with articles. No editorial qualifiers like "routine" or "suspicious." -- `potential_threat_level`: Must be consistent with your scene description and the activity patterns above. -{get_concern_prompt()} - -## Sequence Details - -- Camera: {review_data["camera"]} -- Total frames: {len(thumbnails)} (Frame 1 = earliest, Frame {len(thumbnails)} = latest) -- Activity started at {review_data["start"]} and lasted {review_data["duration"]} seconds -- Zones involved: {", ".join(review_data["zones"]) if review_data["zones"] else "None"} - -## Objects in Scene - -Each line represents a detection state, not necessarily unique individuals. The `←` symbol separates a recognized subject's name from their object type — use only the name (before the `←`) in your response, not the type after it. The same subject may appear across multiple lines if detected multiple times. - -**Note: Unidentified objects (without names) are NOT indicators of suspicious activity—they simply mean the system hasn't identified that object.** -{get_objects_list()} - -{get_language_prompt()} -""" logger.debug( f"Sending {len(thumbnails)} images to create review description on {review_data['camera']}" ) @@ -140,28 +92,7 @@ def get_objects_list() -> str: ) as f: f.write(context_prompt) - # Build JSON schema for structured output from ReviewMetadata model - schema = ReviewMetadata.model_json_schema() - schema.get("properties", {}).pop("time", None) - - if "time" in schema.get("required", []): - schema["required"].remove("time") - if not concerns: - schema.get("properties", {}).pop("other_concerns", None) - if "other_concerns" in schema.get("required", []): - schema["required"].remove("other_concerns") - - # OpenAI strict mode requires additionalProperties: false on all objects - schema["additionalProperties"] = False - - response_format = { - "type": "json_schema", - "json_schema": { - "name": "review_metadata", - "strict": True, - "schema": schema, - }, - } + response_format = build_review_description_response_format(concerns) response = self._send(context_prompt, thumbnails, response_format) @@ -181,7 +112,36 @@ def get_objects_list() -> str: try: metadata = ReviewMetadata.model_validate_json(clean_json) + except ValidationError as ve: + # Constraint violations (length, item count, ranges) are logged + # at debug and the response is kept anyway — a slightly + # off-spec answer is still usable, and dropping the whole + # response loses the narrative content the model produced. + for err in ve.errors(): + loc = ".".join(str(p) for p in err["loc"]) or "" + logger.debug( + "Review metadata soft validation: %s — %s (input: %r)", + loc, + err["msg"], + err.get("input"), + ) + try: + raw = json.loads(clean_json) + except json.JSONDecodeError as je: + logger.error("Failed to parse review description JSON: %s", je) + return None + # observations and confidence are required on the model; fill an empty default + # if the response omitted it so attribute access stays safe. + raw.setdefault("observations", []) + raw.setdefault("confidence", 0.0) + metadata = ReviewMetadata.model_construct(**raw) + except Exception as e: + logger.error( + f"Failed to parse review description as the response did not match expected format. {e}" + ) + return None + try: # Normalize confidence if model returned a percentage (e.g. 85 instead of 0.85) if metadata.confidence > 1.0: metadata.confidence = min(metadata.confidence / 100.0, 1.0) @@ -194,10 +154,7 @@ def get_objects_list() -> str: metadata.time = review_data["start"] return metadata except Exception as e: - # rarely LLMs can fail to follow directions on output format - logger.warning( - f"Failed to parse review description as the response did not match expected format. {e}" - ) + logger.error(f"Failed to post-process review metadata: {e}") return None else: logger.debug( @@ -214,61 +171,9 @@ def generate_review_summary( debug_save: bool, ) -> str | None: """Generate a summary of review item descriptions over a period of time.""" - time_range = f"{datetime.datetime.fromtimestamp(start_ts).strftime('%B %d, %Y at %I:%M %p')} to {datetime.datetime.fromtimestamp(end_ts).strftime('%B %d, %Y at %I:%M %p')}" - timeline_summary_prompt = f""" -You are a security officer writing a concise security report. - -Time range: {time_range} - -Input format: Each event is a JSON object with: -- "title", "scene", "confidence", "potential_threat_level" (0-2), "other_concerns", "camera", "time", "start_time", "end_time" -- "context": array of related events from other cameras that occurred during overlapping time periods - -**Note: Use the "scene" field for event descriptions in the report. Ignore any "shortSummary" field if present.** - -Report Structure - Use this EXACT format: - -# Security Summary - {time_range} - -## Overview -[Write 1-2 sentences summarizing the overall activity pattern during this period.] - ---- - -## Timeline - -[Group events by time periods (e.g., "Morning (6:00 AM - 12:00 PM)", "Afternoon (12:00 PM - 5:00 PM)", "Evening (5:00 PM - 9:00 PM)", "Night (9:00 PM - 6:00 AM)"). Use appropriate time blocks based on when events occurred.] - -### [Time Block Name] - -**HH:MM AM/PM** | [Camera Name] | [Threat Level Indicator] -- [Event title]: [Clear description incorporating contextual information from the "context" array] -- Context: [If context array has items, mention them here, e.g., "Delivery truck present on Front Driveway Cam (HH:MM AM/PM)"] -- Assessment: [Brief assessment incorporating context - if context explains the event, note it here] - -[Repeat for each event in chronological order within the time block] - ---- - -## Summary -[One sentence summarizing the period. If all events are normal/explained: "Routine activity observed." If review needed: "Some activity requires review but no security concerns." If security concerns: "Security concerns requiring immediate attention."] - -Guidelines: -- List ALL events in chronological order, grouped by time blocks -- Threat level indicators: ✓ Normal, ⚠️ Needs review, 🔴 Security concern -- Integrate contextual information naturally - use the "context" array to enrich each event's description -- If context explains the event (e.g., delivery truck explains person at door), describe it accordingly (e.g., "delivery person" not "unidentified person") -- Be concise but informative - focus on what happened and what it means -- If contextual information makes an event clearly normal, reflect that in your assessment -- Only create time blocks that have events - don't create empty sections -""" - - timeline_summary_prompt += "\n\nEvents:\n" - for event in events: - timeline_summary_prompt += f"\n{event}\n" - - if preferred_language: - timeline_summary_prompt += f"\nProvide your answer in {preferred_language}" + timeline_summary_prompt = build_review_summary_prompt( + start_ts, end_ts, events, preferred_language + ) if debug_save: with open( @@ -300,10 +205,7 @@ def generate_object_description( ) -> Optional[str]: """Generate a description for the frame.""" try: - prompt = camera_config.objects.genai.object_prompts.get( - str(event.label), - camera_config.objects.genai.prompt, - ).format(**model_to_dict(event)) + prompt = build_object_description_prompt(camera_config, event) except KeyError as e: logger.error(f"Invalid key in GenAI prompt: {e}") return None @@ -320,8 +222,15 @@ def _send( prompt: str, images: list[bytes], response_format: Optional[dict] = None, + enable_thinking: bool = False, ) -> Optional[str]: - """Submit a request to the provider.""" + """Submit a request to the provider. + + ``enable_thinking`` is honored only by providers that report + ``supports_toggleable_thinking``. Description-style callers leave it + at the default (off) since synthesis tasks don't benefit from + reasoning traces. + """ return None @property @@ -333,6 +242,11 @@ def supports_vision(self) -> bool: """ return True + @property + def supports_toggleable_thinking(self) -> bool: + """Whether the configured model exposes a per-request thinking toggle.""" + return False + def list_models(self) -> list[str]: """Return the list of model names available from this provider. @@ -344,6 +258,14 @@ def get_context_size(self) -> int: """Get the context window size for this provider in tokens.""" return 4096 + def estimate_image_tokens(self, width: int, height: int) -> float: + """Estimate prompt tokens consumed by a single image of the given dimensions. + + Default heuristic: ~1 token per 1250 pixels. Providers that can measure or + know their model's exact image-token cost should override. + """ + return (width * height) / 1250 + def embed( self, texts: list[str] | None = None, @@ -368,6 +290,7 @@ def chat_with_tools( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> dict[str, Any]: """ Send chat messages to LLM with optional tool definitions. @@ -391,11 +314,17 @@ def chat_with_tools( - 'none': Model must not call tools - 'required': Model must call at least one tool - Or a dict specifying a specific tool to call - **kwargs: Additional provider-specific parameters. + enable_thinking: Per-request thinking toggle. None means use the + provider default. Ignored by providers without a per-request + toggle (see `supports_toggleable_thinking`). Returns: Dictionary with: - 'content': Optional[str] - The text response from the LLM, None if tool calls + - 'reasoning': Optional[str] - The separated reasoning/thinking trace + if the model emitted one (e.g. via OpenAI-compatible + `reasoning_content`). None when the model does not surface a + trace or the provider does not parse it. - 'tool_calls': Optional[List[Dict]] - List of tool calls if LLM wants to call tools. Each tool call dict has: - 'id': str - Unique identifier for this tool call @@ -407,6 +336,14 @@ def chat_with_tools( - 'length': Hit token limit - 'error': An error occurred + Streaming counterpart `chat_with_tools_stream` yields + ``(kind, value)`` tuples where ``kind`` is one of: + - 'content_delta': value is a string fragment of the answer + - 'reasoning_delta': value is a string fragment of the reasoning + trace (emitted before content for thinking models) + - 'stats': value is a usage stats dict + - 'message': value is the final dict shape described above + Raises: NotImplementedError: If the provider doesn't implement this method. """ @@ -417,14 +354,50 @@ def chat_with_tools( ) return { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", } + async def chat_with_tools_stream( + self, + messages: list[dict[str, Any]], + tools: Optional[list[dict[str, Any]]] = None, + tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, + ) -> AsyncGenerator[tuple[str, Any], None]: + """Streaming counterpart to `chat_with_tools`. + + Yields ``(kind, value)`` tuples where ``kind`` is one of: + - 'content_delta': value is a string fragment of the answer + - 'reasoning_delta': value is a string fragment of the reasoning + trace (emitted before content for thinking models) + - 'stats': value is a usage stats dict + - 'message': value is the final dict shape described in + `chat_with_tools` + + Argument semantics — including ``enable_thinking`` — match + `chat_with_tools`. Providers that don't support streaming should + override this and yield an error 'message' event. + """ + logger.warning( + f"{self.__class__.__name__} does not support chat_with_tools_stream. " + "This method should be overridden by the provider implementation." + ) + yield ( + "message", + { + "content": None, + "reasoning": None, + "tool_calls": None, + "finish_reason": "error", + }, + ) + def load_providers() -> None: - package_dir = os.path.dirname(__file__) - for filename in os.listdir(package_dir): + plugins_dir = os.path.join(os.path.dirname(__file__), "plugins") + for filename in os.listdir(plugins_dir): if filename.endswith(".py") and filename != "__init__.py": - module_name = f"frigate.genai.{filename[:-3]}" + module_name = f"frigate.genai.plugins.{filename[:-3]}" importlib.import_module(module_name) diff --git a/frigate/genai/azure-openai.py b/frigate/genai/azure-openai.py deleted file mode 100644 index 66d7d1568e..0000000000 --- a/frigate/genai/azure-openai.py +++ /dev/null @@ -1,305 +0,0 @@ -"""Azure OpenAI Provider for Frigate AI.""" - -import base64 -import json -import logging -from typing import Any, AsyncGenerator, Optional -from urllib.parse import parse_qs, urlparse - -from openai import AzureOpenAI - -from frigate.config import GenAIProviderEnum -from frigate.genai import GenAIClient, register_genai_provider - -logger = logging.getLogger(__name__) - - -@register_genai_provider(GenAIProviderEnum.azure_openai) -class OpenAIClient(GenAIClient): - """Generative AI client for Frigate using Azure OpenAI.""" - - provider: AzureOpenAI - - def _init_provider(self) -> AzureOpenAI | None: - """Initialize the client.""" - try: - parsed_url = urlparse(self.genai_config.base_url or "") - query_params = parse_qs(parsed_url.query) - api_version = query_params.get("api-version", [None])[0] - azure_endpoint = f"{parsed_url.scheme}://{parsed_url.netloc}/" - - if not api_version: - logger.warning("Azure OpenAI url is missing API version.") - return None - - except Exception as e: - logger.warning("Error parsing Azure OpenAI url: %s", str(e)) - return None - - return AzureOpenAI( - api_key=self.genai_config.api_key, - api_version=api_version, - azure_endpoint=azure_endpoint, - ) - - def _send( - self, - prompt: str, - images: list[bytes], - response_format: Optional[dict] = None, - ) -> Optional[str]: - """Submit a request to Azure OpenAI.""" - encoded_images = [base64.b64encode(image).decode("utf-8") for image in images] - try: - request_params = { - "model": self.genai_config.model, - "messages": [ - { - "role": "user", - "content": [{"type": "text", "text": prompt}] - + [ - { - "type": "image_url", - "image_url": { - "url": f"data:image/jpeg;base64,{image}", - "detail": "low", - }, - } - for image in encoded_images - ], - }, - ], - "timeout": self.timeout, - **self.genai_config.runtime_options, - } - if response_format: - request_params["response_format"] = response_format - result = self.provider.chat.completions.create(**request_params) - except Exception as e: - logger.warning("Azure OpenAI returned an error: %s", str(e)) - return None - if len(result.choices) > 0: - return str(result.choices[0].message.content.strip()) - return None - - def list_models(self) -> list[str]: - """Return available model IDs from Azure OpenAI.""" - try: - return sorted(m.id for m in self.provider.models.list().data) - except Exception as e: - logger.warning("Failed to list Azure OpenAI models: %s", e) - return [] - - def get_context_size(self) -> int: - """Get the context window size for Azure OpenAI.""" - return 128000 - - def chat_with_tools( - self, - messages: list[dict[str, Any]], - tools: Optional[list[dict[str, Any]]] = None, - tool_choice: Optional[str] = "auto", - ) -> dict[str, Any]: - try: - openai_tool_choice = None - if tool_choice: - if tool_choice == "none": - openai_tool_choice = "none" - elif tool_choice == "auto": - openai_tool_choice = "auto" - elif tool_choice == "required": - openai_tool_choice = "required" - - request_params = { - "model": self.genai_config.model, - "messages": messages, - "timeout": self.timeout, - } - - if tools: - request_params["tools"] = tools - if openai_tool_choice is not None: - request_params["tool_choice"] = openai_tool_choice - - result = self.provider.chat.completions.create(**request_params) # type: ignore[call-overload] - - if ( - result is None - or not hasattr(result, "choices") - or len(result.choices) == 0 - ): - return { - "content": None, - "tool_calls": None, - "finish_reason": "error", - } - - choice = result.choices[0] - message = choice.message - - content = message.content.strip() if message.content else None - - tool_calls = None - if message.tool_calls: - tool_calls = [] - for tool_call in message.tool_calls: - try: - arguments = json.loads(tool_call.function.arguments) - except (json.JSONDecodeError, AttributeError) as e: - logger.warning( - f"Failed to parse tool call arguments: {e}, " - f"tool: {tool_call.function.name if hasattr(tool_call.function, 'name') else 'unknown'}" - ) - arguments = {} - - tool_calls.append( - { - "id": tool_call.id if hasattr(tool_call, "id") else "", - "name": tool_call.function.name - if hasattr(tool_call.function, "name") - else "", - "arguments": arguments, - } - ) - - finish_reason = "error" - if hasattr(choice, "finish_reason") and choice.finish_reason: - finish_reason = choice.finish_reason - elif tool_calls: - finish_reason = "tool_calls" - elif content: - finish_reason = "stop" - - return { - "content": content, - "tool_calls": tool_calls, - "finish_reason": finish_reason, - } - - except Exception as e: - logger.warning("Azure OpenAI returned an error: %s", str(e)) - return { - "content": None, - "tool_calls": None, - "finish_reason": "error", - } - - async def chat_with_tools_stream( - self, - messages: list[dict[str, Any]], - tools: Optional[list[dict[str, Any]]] = None, - tool_choice: Optional[str] = "auto", - ) -> AsyncGenerator[tuple[str, Any], None]: - """ - Stream chat with tools; yields content deltas then final message. - - Implements streaming function calling/tool usage for Azure OpenAI models. - """ - try: - openai_tool_choice = None - if tool_choice: - if tool_choice == "none": - openai_tool_choice = "none" - elif tool_choice == "auto": - openai_tool_choice = "auto" - elif tool_choice == "required": - openai_tool_choice = "required" - - request_params = { - "model": self.genai_config.model, - "messages": messages, - "timeout": self.timeout, - "stream": True, - } - - if tools: - request_params["tools"] = tools - if openai_tool_choice is not None: - request_params["tool_choice"] = openai_tool_choice - - # Use streaming API - content_parts: list[str] = [] - tool_calls_by_index: dict[int, dict[str, Any]] = {} - finish_reason = "stop" - - stream = self.provider.chat.completions.create(**request_params) # type: ignore[call-overload] - - for chunk in stream: - if not chunk or not chunk.choices: - continue - - choice = chunk.choices[0] - delta = choice.delta - - # Check for finish reason - if choice.finish_reason: - finish_reason = choice.finish_reason - - # Extract content deltas - if delta.content: - content_parts.append(delta.content) - yield ("content_delta", delta.content) - - # Extract tool calls - if delta.tool_calls: - for tc in delta.tool_calls: - idx = tc.index - fn = tc.function - - if idx not in tool_calls_by_index: - tool_calls_by_index[idx] = { - "id": tc.id or "", - "name": fn.name if fn and fn.name else "", - "arguments": "", - } - - t = tool_calls_by_index[idx] - if tc.id: - t["id"] = tc.id - if fn and fn.name: - t["name"] = fn.name - if fn and fn.arguments: - t["arguments"] += fn.arguments - - # Build final message - full_content = "".join(content_parts).strip() or None - - # Convert tool calls to list format - tool_calls_list = None - if tool_calls_by_index: - tool_calls_list = [] - for tc in tool_calls_by_index.values(): - try: - # Parse accumulated arguments as JSON - parsed_args = json.loads(tc["arguments"]) - except (json.JSONDecodeError, Exception): - parsed_args = tc["arguments"] - - tool_calls_list.append( - { - "id": tc["id"], - "name": tc["name"], - "arguments": parsed_args, - } - ) - finish_reason = "tool_calls" - - yield ( - "message", - { - "content": full_content, - "tool_calls": tool_calls_list, - "finish_reason": finish_reason, - }, - ) - - except Exception as e: - logger.warning("Azure OpenAI streaming returned an error: %s", str(e)) - yield ( - "message", - { - "content": None, - "tool_calls": None, - "finish_reason": "error", - }, - ) diff --git a/frigate/genai/manager.py b/frigate/genai/manager.py index 94719f4291..a1325d3279 100644 --- a/frigate/genai/manager.py +++ b/frigate/genai/manager.py @@ -6,7 +6,7 @@ """ import logging -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING, Any, Optional from frigate.config import FrigateConfig from frigate.config.camera.genai import GenAIConfig, GenAIRoleEnum @@ -108,11 +108,16 @@ def embeddings_client(self) -> "Optional[GenAIClient]": name = self._role_map.get(GenAIRoleEnum.embeddings) return self._get_client(name) if name else None - def list_models(self) -> dict[str, list[str]]: - """Return available models keyed by config entry name.""" - result: dict[str, list[str]] = {} - for name in self._configs: + def list_models(self) -> dict[str, dict[str, Any]]: + """Return per-entry model lists and capabilities, keyed by config entry name.""" + result: dict[str, dict[str, Any]] = {} + for name, genai_cfg in self._configs.items(): client = self._get_client(name) - if client: - result[name] = client.list_models() + if not client: + continue + result[name] = { + "models": client.list_models(), + "roles": [r.value for r in genai_cfg.roles], + "supports_toggleable_thinking": client.supports_toggleable_thinking, + } return result diff --git a/frigate/genai/plugins/__init__.py b/frigate/genai/plugins/__init__.py new file mode 100644 index 0000000000..e6d66077d3 --- /dev/null +++ b/frigate/genai/plugins/__init__.py @@ -0,0 +1 @@ +"""GenAI provider plugins.""" diff --git a/frigate/genai/plugins/azure-openai.py b/frigate/genai/plugins/azure-openai.py new file mode 100644 index 0000000000..3599eb0dbd --- /dev/null +++ b/frigate/genai/plugins/azure-openai.py @@ -0,0 +1,53 @@ +"""Azure OpenAI Provider for Frigate AI. + +Azure OpenAI exposes the same chat completions API as OpenAI once the +client is constructed, so this provider inherits all transport, streaming, +reasoning, and tool-calling logic from :class:`OpenAIClient` and only +overrides what is genuinely Azure-specific: + +- Client construction: parses ``api-version`` out of the configured + ``base_url`` query string and instantiates :class:`openai.AzureOpenAI` + with ``azure_endpoint`` instead of ``base_url``. Raises if the URL is + malformed; :class:`GenAIClientManager` catches the exception and + disables the provider. +- Context size: Azure does not expose a per-model ``max_model_len`` field + reliably, so we keep the historical 128K default rather than the + model-name heuristic used by OpenAI. +""" + +import logging +from urllib.parse import parse_qs, urlparse + +from openai import AzureOpenAI + +from frigate.config import GenAIProviderEnum +from frigate.genai import register_genai_provider +from frigate.genai.plugins.openai import OpenAIClient + +logger = logging.getLogger(__name__) + + +@register_genai_provider(GenAIProviderEnum.azure_openai) +class AzureOpenAIClient(OpenAIClient): + """Generative AI client for Frigate using Azure OpenAI.""" + + def _init_provider(self) -> AzureOpenAI: + """Initialize the AzureOpenAI client from the configured base_url.""" + parsed_url = urlparse(self.genai_config.base_url or "") + query_params = parse_qs(parsed_url.query) + api_version = query_params.get("api-version", [None])[0] + + if not api_version: + raise ValueError("Azure OpenAI base_url is missing api-version.") + + azure_endpoint = f"{parsed_url.scheme}://{parsed_url.netloc}/" + + return AzureOpenAI( + api_key=self.genai_config.api_key, + api_version=api_version, + azure_endpoint=azure_endpoint, + ) + + def get_context_size(self) -> int: + """Azure does not reliably surface per-model context size; use 128K.""" + return 128000 diff --git a/frigate/genai/gemini.py b/frigate/genai/plugins/gemini.py similarity index 69% rename from frigate/genai/gemini.py rename to frigate/genai/plugins/gemini.py index cfa9cb8029..9efd241893 100644 --- a/frigate/genai/gemini.py +++ b/frigate/genai/plugins/gemini.py @@ -1,5 +1,7 @@ """Gemini Provider for Frigate AI.""" +import base64 +import binascii import json import logging from typing import Any, AsyncGenerator, Optional @@ -14,6 +16,41 @@ logger = logging.getLogger(__name__) +def _decode_thought_signature(value: Any) -> Optional[bytes]: + """Decode a base64-encoded thought_signature carried across conversation turns.""" + if not value: + return None + if isinstance(value, bytes): + return value + if isinstance(value, str): + try: + return base64.b64decode(value) + except (binascii.Error, ValueError): + return None + return None + + +def _encode_thought_signature(signature: Optional[bytes]) -> Optional[str]: + """Encode bytes thought_signature as base64 so it survives JSON-friendly transport.""" + if not signature: + return None + return base64.b64encode(signature).decode("ascii") + + +def _stats_from_gemini_usage(usage: Any) -> Optional[dict[str, Any]]: + """Build a stats dict from a Gemini usage_metadata object.""" + prompt_tokens = getattr(usage, "prompt_token_count", None) + completion_tokens = getattr(usage, "candidates_token_count", None) + if prompt_tokens is None and completion_tokens is None: + return None + stats: dict[str, Any] = {} + if isinstance(prompt_tokens, int): + stats["prompt_tokens"] = prompt_tokens + if isinstance(completion_tokens, int): + stats["completion_tokens"] = completion_tokens + return stats or None + + @register_genai_provider(GenAIProviderEnum.gemini) class GeminiClient(GenAIClient): """Generative AI client for Frigate using Gemini.""" @@ -48,6 +85,7 @@ def _send( prompt: str, images: list[bytes], response_format: Optional[dict] = None, + enable_thinking: bool = False, ) -> Optional[str]: """Submit a request to Gemini.""" contents = [prompt] + [ @@ -105,11 +143,14 @@ def chat_with_tools( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> dict[str, Any]: """ Send chat messages to Gemini with optional tool definitions. - Implements function calling/tool usage for Gemini models. + Implements function calling/tool usage for Gemini models. Thinking is + configured at the model level for Gemini, so ``enable_thinking`` is + accepted for interface parity and ignored. """ try: # Convert messages to Gemini format @@ -136,22 +177,50 @@ def chat_with_tools( ) ) elif role == "assistant": - gemini_messages.append( - types.Content( - role="model", parts=[types.Part.from_text(text=content)] - ) - ) + parts: list[types.Part] = [] + if content: + parts.append(types.Part.from_text(text=content)) + for tc in msg.get("tool_calls") or []: + func = tc.get("function") or {} + tc_name = func.get("name") or "" + tc_args: Any = func.get("arguments") + if isinstance(tc_args, str): + try: + tc_args = json.loads(tc_args) + except (json.JSONDecodeError, TypeError): + tc_args = {} + if not isinstance(tc_args, dict): + tc_args = {} + if tc_name: + fc_part = types.Part.from_function_call( + name=tc_name, args=tc_args + ) + # Thinking-capable Gemini models require the original + # thought_signature to be echoed back on functionCall + # parts after a tool response, or the next request + # fails with INVALID_ARGUMENT. + sig = _decode_thought_signature(tc.get("thought_signature")) + if sig: + fc_part.thought_signature = sig + parts.append(fc_part) + if not parts: + parts.append(types.Part.from_text(text=" ")) + gemini_messages.append(types.Content(role="model", parts=parts)) elif role == "tool": # Handle tool response - function_response = { - "name": msg.get("name", ""), - "response": content, - } + response_payload = ( + content if isinstance(content, dict) else {"result": content} + ) gemini_messages.append( types.Content( role="function", parts=[ - types.Part.from_function_response(function_response) # type: ignore[misc,call-arg,arg-type] + types.Part.from_function_response( + name=msg.get("name") + or msg.get("tool_call_id") + or "", + response=response_payload, + ) ], ) ) @@ -212,6 +281,13 @@ def chat_with_tools( if tool_config: config_params["tool_config"] = tool_config + # Ask thinking-capable models (Gemini 2.5+) to include their + # reasoning trace as separate `thought` parts so we can surface + # it on the reasoning channel. Older models ignore this field. + config_params["thinking_config"] = types.ThinkingConfig( + include_thoughts=True + ) + # Merge runtime_options if isinstance(self.genai_config.runtime_options, dict): config_params.update(self.genai_config.runtime_options) @@ -226,19 +302,24 @@ def chat_with_tools( if not response or not response.candidates: return { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", } candidate = response.candidates[0] content = None + reasoning_parts: list[str] = [] tool_calls = None - # Extract content and tool calls from response + # Extract content, reasoning, and tool calls from response if candidate.content and candidate.content.parts: for part in candidate.content.parts: if part.text: - content = part.text.strip() + if getattr(part, "thought", False): + reasoning_parts.append(part.text) + else: + content = part.text.strip() elif part.function_call: # Handle function call if tool_calls is None: @@ -258,9 +339,14 @@ def chat_with_tools( "id": part.function_call.name or "", "name": part.function_call.name or "", "arguments": arguments, + "thought_signature": _encode_thought_signature( + getattr(part, "thought_signature", None) + ), } ) + reasoning = "".join(reasoning_parts).strip() or None + # Determine finish reason finish_reason = "error" if hasattr(candidate, "finish_reason") and candidate.finish_reason: @@ -286,6 +372,7 @@ def chat_with_tools( return { "content": content, + "reasoning": reasoning, "tool_calls": tool_calls, "finish_reason": finish_reason, } @@ -294,6 +381,7 @@ def chat_with_tools( logger.warning("Gemini API error during chat_with_tools: %s", str(e)) return { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", } @@ -303,6 +391,7 @@ def chat_with_tools( ) return { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", } @@ -312,11 +401,14 @@ async def chat_with_tools_stream( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> AsyncGenerator[tuple[str, Any], None]: """ Stream chat with tools; yields content deltas then final message. Implements streaming function calling/tool usage for Gemini models. + ``enable_thinking`` is accepted for interface parity; Gemini configures + thinking at the model level, so it is ignored here. """ try: # Convert messages to Gemini format @@ -343,22 +435,50 @@ async def chat_with_tools_stream( ) ) elif role == "assistant": - gemini_messages.append( - types.Content( - role="model", parts=[types.Part.from_text(text=content)] - ) - ) + parts: list[types.Part] = [] + if content: + parts.append(types.Part.from_text(text=content)) + for tc in msg.get("tool_calls") or []: + func = tc.get("function") or {} + tc_name = func.get("name") or "" + tc_args: Any = func.get("arguments") + if isinstance(tc_args, str): + try: + tc_args = json.loads(tc_args) + except (json.JSONDecodeError, TypeError): + tc_args = {} + if not isinstance(tc_args, dict): + tc_args = {} + if tc_name: + fc_part = types.Part.from_function_call( + name=tc_name, args=tc_args + ) + # Thinking-capable Gemini models require the original + # thought_signature to be echoed back on functionCall + # parts after a tool response, or the next request + # fails with INVALID_ARGUMENT. + sig = _decode_thought_signature(tc.get("thought_signature")) + if sig: + fc_part.thought_signature = sig + parts.append(fc_part) + if not parts: + parts.append(types.Part.from_text(text=" ")) + gemini_messages.append(types.Content(role="model", parts=parts)) elif role == "tool": # Handle tool response - function_response = { - "name": msg.get("name", ""), - "response": content, - } + response_payload = ( + content if isinstance(content, dict) else {"result": content} + ) gemini_messages.append( types.Content( role="function", parts=[ - types.Part.from_function_response(function_response) # type: ignore[misc,call-arg,arg-type] + types.Part.from_function_response( + name=msg.get("name") + or msg.get("tool_call_id") + or "", + response=response_payload, + ) ], ) ) @@ -419,14 +539,22 @@ async def chat_with_tools_stream( if tool_config: config_params["tool_config"] = tool_config + # Ask thinking-capable models to include their reasoning trace + # as separate `thought` parts (Gemini 2.5+; ignored elsewhere). + config_params["thinking_config"] = types.ThinkingConfig( + include_thoughts=True + ) + # Merge runtime_options if isinstance(self.genai_config.runtime_options, dict): config_params.update(self.genai_config.runtime_options) # Use streaming API content_parts: list[str] = [] + reasoning_parts: list[str] = [] tool_calls_by_index: dict[int, dict[str, Any]] = {} finish_reason = "stop" + usage_stats: Optional[dict[str, Any]] = None stream = await self.provider.aio.models.generate_content_stream( model=self.genai_config.model, @@ -435,6 +563,12 @@ async def chat_with_tools_stream( ) async for chunk in stream: + chunk_usage = getattr(chunk, "usage_metadata", None) + if chunk_usage is not None: + maybe_stats = _stats_from_gemini_usage(chunk_usage) + if maybe_stats is not None: + usage_stats = maybe_stats + if not chunk or not chunk.candidates: continue @@ -454,12 +588,16 @@ async def chat_with_tools_stream( ]: finish_reason = "error" - # Extract content and tool calls from chunk + # Extract content, reasoning, and tool calls from chunk if candidate.content and candidate.content.parts: for part in candidate.content.parts: if part.text: - content_parts.append(part.text) - yield ("content_delta", part.text) + if getattr(part, "thought", False): + reasoning_parts.append(part.text) + yield ("reasoning_delta", part.text) + else: + content_parts.append(part.text) + yield ("content_delta", part.text) elif part.function_call: # Handle function call try: @@ -488,6 +626,7 @@ async def chat_with_tools_stream( "id": tool_call_id, "name": tool_call_name, "arguments": "", + "thought_signature": None, } # Accumulate arguments @@ -498,8 +637,16 @@ async def chat_with_tools_stream( else str(arguments) ) + # Capture latest thought_signature for this call + chunk_sig = getattr(part, "thought_signature", None) + if chunk_sig: + tool_calls_by_index[found_index][ + "thought_signature" + ] = chunk_sig + # Build final message full_content = "".join(content_parts).strip() or None + full_reasoning = "".join(reasoning_parts).strip() or None # Convert tool calls to list format tool_calls_list = None @@ -517,14 +664,21 @@ async def chat_with_tools_stream( "id": tc["id"], "name": tc["name"], "arguments": parsed_args, + "thought_signature": _encode_thought_signature( + tc.get("thought_signature") + ), } ) finish_reason = "tool_calls" + if usage_stats is not None: + yield ("stats", usage_stats) + yield ( "message", { "content": full_content, + "reasoning": full_reasoning, "tool_calls": tool_calls_list, "finish_reason": finish_reason, }, @@ -536,6 +690,7 @@ async def chat_with_tools_stream( "message", { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", }, @@ -548,6 +703,7 @@ async def chat_with_tools_stream( "message", { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", }, diff --git a/frigate/genai/llama_cpp.py b/frigate/genai/plugins/llama_cpp.py similarity index 56% rename from frigate/genai/llama_cpp.py rename to frigate/genai/plugins/llama_cpp.py index e5e9883b8f..d5458cf8f9 100644 --- a/frigate/genai/llama_cpp.py +++ b/frigate/genai/plugins/llama_cpp.py @@ -4,7 +4,7 @@ import io import json import logging -from typing import Any, AsyncGenerator, Optional +from typing import Any, AsyncGenerator, Optional, cast import httpx import numpy as np @@ -18,6 +18,86 @@ logger = logging.getLogger(__name__) +def _stats_from_llama_cpp_chunk(data: dict[str, Any]) -> Optional[dict[str, Any]]: + """Build a stats dict from a llama.cpp streaming chunk. + + Final-chunk `usage` carries authoritative token counts. Per-chunk + `timings` (enabled via timings_per_token) carries the running token + counts (prompt_n, predicted_n) and generation rate, so live updates + work mid-stream. + """ + usage = data.get("usage") or {} + timings = data.get("timings") or {} + prompt_tokens = usage.get("prompt_tokens") + completion_tokens = usage.get("completion_tokens") + predicted_ms = timings.get("predicted_ms") + tps = timings.get("predicted_per_second") + stats: dict[str, Any] = {} + + if not isinstance(prompt_tokens, int): + prompt_n = timings.get("prompt_n") + + if isinstance(prompt_n, int): + prompt_tokens = prompt_n + + if not isinstance(completion_tokens, int): + predicted_n = timings.get("predicted_n") + + if isinstance(predicted_n, int): + completion_tokens = predicted_n + + if not isinstance(prompt_tokens, int) and not isinstance(completion_tokens, int): + return None + + if isinstance(prompt_tokens, int): + stats["prompt_tokens"] = prompt_tokens + + if isinstance(completion_tokens, int): + stats["completion_tokens"] = completion_tokens + + if isinstance(predicted_ms, (int, float)) and predicted_ms > 0: + stats["completion_duration_ms"] = float(predicted_ms) + + if isinstance(tps, (int, float)) and tps > 0: + stats["tokens_per_second"] = float(tps) + + return stats or None + + +def _parse_launch_arg(args: list[str], flag: str) -> str | None: + """Return the value following `flag` in a positional argv list, or None.""" + try: + idx = args.index(flag) + except ValueError: + return None + if idx + 1 >= len(args): + return None + return args[idx + 1] + + +def _fetch_llama_props(base_url: str, model: str) -> dict[str, Any]: + """Fetch /props from a llama.cpp server, with llama-swap fallback. + + Raises the underlying RequestException if both endpoints fail; callers + decide how to surface the failure. + """ + try: + response = requests.get( + f"{base_url}/props", + params={"model": model}, + timeout=10, + ) + response.raise_for_status() + return cast(dict[str, Any], response.json()) + except Exception: + response = requests.get( + f"{base_url}/upstream/{model}/props", + timeout=10, + ) + response.raise_for_status() + return cast(dict[str, Any], response.json()) + + def _to_jpeg(img_bytes: bytes) -> bytes | None: """Convert image bytes to JPEG. llama.cpp/STB does not support WebP.""" try: @@ -42,6 +122,10 @@ class LlamaCppClient(GenAIClient): _supports_vision: bool _supports_audio: bool _supports_tools: bool + _supports_reasoning: bool + _image_token_cache: dict[tuple[int, int], int] + _text_baseline_tokens: int | None + _media_marker: str def _init_provider(self) -> str | None: """Initialize the client and query model metadata from the server.""" @@ -52,6 +136,10 @@ def _init_provider(self) -> str | None: self._supports_vision = False self._supports_audio = False self._supports_tools = False + self._supports_reasoning = False + self._image_token_cache = {} + self._text_baseline_tokens = None + self._media_marker = "<__media__>" base_url = ( self.genai_config.base_url.rstrip("/") @@ -61,28 +149,80 @@ def _init_provider(self) -> str | None: if base_url is None: return None + else: + base_url = base_url.replace("/v1", "") # Strip /v1 if included in base_url + + if not self.validate_model: + # Probe path + return base_url configured_model = self.genai_config.model + info = self._get_model_info(base_url, configured_model) + + if info is None: + return None + + self._context_size = info["context_size"] + self._supports_vision = info["supports_vision"] + self._supports_audio = info["supports_audio"] + self._supports_tools = info["supports_tools"] + self._supports_reasoning = info["supports_reasoning"] + self._media_marker = info["media_marker"] + + logger.info( + "llama.cpp model '%s' initialized — context: %s, vision: %s, audio: %s, tools: %s, reasoning: %s", + configured_model, + self._context_size or "unknown", + self._supports_vision, + self._supports_audio, + self._supports_tools, + self._supports_reasoning, + ) + + return base_url + + def _get_model_info( + self, base_url: str, configured_model: str + ) -> dict[str, Any] | None: + """Resolve model metadata from /v1/models with /props fallback. + + Returns a dict of capability fields, or None if the server's model + registry was reachable and reported the configured model as missing. + A reachable-but-unparseable /v1/models is treated as soft-pass and + falls through to /props, matching prior behavior. + + After ggml-org/llama.cpp#22952, /v1/models exposes per-model + `architecture.input_modalities` (text/image/audio) — the primary + source. When proxied through llama-swap, the same entry carries + `status.args` (server launch argv) and, for the loaded model, + `meta.n_ctx`. /props remains the only source for `media_marker`, + which the server randomizes per startup unless LLAMA_MEDIA_MARKER + is set. + """ + info: dict[str, Any] = { + "context_size": None, + "supports_vision": False, + "supports_audio": False, + "supports_tools": False, + "supports_reasoning": False, + "media_marker": "<__media__>", + } - # Query /v1/models to validate the configured model exists + model_entry: dict[str, Any] | None = None try: - response = requests.get( - f"{base_url}/v1/models", - timeout=10, - ) + response = requests.get(f"{base_url}/v1/models", timeout=10) response.raise_for_status() models_data = response.json() - model_found = False for model in models_data.get("data", []): model_ids = {model.get("id")} for alias in model.get("aliases", []): model_ids.add(alias) if configured_model in model_ids: - model_found = True + model_entry = model break - if not model_found: + if model_entry is None: available = [] for m in models_data.get("data", []): available.append(m.get("id", "unknown")) @@ -101,64 +241,78 @@ def _init_provider(self) -> str | None: e, ) - # Query /props for context size, modalities, and tool support. - # The standard /props?model= endpoint works with llama-server. - # If it fails, try the llama-swap per-model passthrough endpoint which - # returns props for a specific model without requiring it to be loaded. - try: - try: - response = requests.get( - f"{base_url}/props", - params={"model": configured_model}, - timeout=10, - ) - response.raise_for_status() - props = response.json() - except Exception: - response = requests.get( - f"{base_url}/upstream/{configured_model}/props", - timeout=10, - ) - response.raise_for_status() - props = response.json() + if model_entry is not None: + architecture = model_entry.get("architecture") or {} + input_modalities = architecture.get("input_modalities") or [] + + if isinstance(input_modalities, list): + info["supports_vision"] = "image" in input_modalities + info["supports_audio"] = "audio" in input_modalities + + status = model_entry.get("status") or {} + launch_args = status.get("args") if isinstance(status, dict) else None + if not isinstance(launch_args, list): + launch_args = [] + + meta = model_entry.get("meta") if isinstance(model_entry, dict) else None + n_ctx = meta.get("n_ctx") if isinstance(meta, dict) else None + + if not n_ctx: + n_ctx = _parse_launch_arg(launch_args, "--ctx-size") - # Context size from server runtime config - default_settings = props.get("default_generation_settings", {}) - n_ctx = default_settings.get("n_ctx") if n_ctx: - self._context_size = int(n_ctx) - - # Modalities (vision, audio) - modalities = props.get("modalities", {}) - self._supports_vision = modalities.get("vision", False) - self._supports_audio = modalities.get("audio", False) - - # Tool support from chat template capabilities - chat_caps = props.get("chat_template_caps", {}) - self._supports_tools = chat_caps.get("supports_tools", False) - - logger.info( - "llama.cpp model '%s' initialized — context: %s, vision: %s, audio: %s, tools: %s", - configured_model, - self._context_size or "unknown", - self._supports_vision, - self._supports_audio, - self._supports_tools, - ) + try: + info["context_size"] = int(n_ctx) + except (TypeError, ValueError): + pass + + # Tool calling on llama-server requires --jinja. + if "--jinja" in launch_args: + info["supports_tools"] = True + + try: + props = _fetch_llama_props(base_url, configured_model) + + if info["context_size"] is None: + default_settings = props.get("default_generation_settings", {}) + n_ctx = default_settings.get("n_ctx") + if n_ctx: + info["context_size"] = int(n_ctx) + + if not (info["supports_vision"] or info["supports_audio"]): + modalities = props.get("modalities", {}) + info["supports_vision"] = bool(modalities.get("vision", False)) + info["supports_audio"] = bool(modalities.get("audio", False)) + + chat_caps = props.get("chat_template_caps") or {} + + if not info["supports_tools"]: + info["supports_tools"] = bool(chat_caps.get("supports_tools", False)) + + # llama.cpp does not advertise per-template reasoning support, so + # detect it by looking for the `enable_thinking` toggle variable + # in the Jinja chat template itself. + chat_template = props.get("chat_template") or "" + info["supports_reasoning"] = "enable_thinking" in chat_template + + media_marker = props.get("media_marker") + if isinstance(media_marker, str) and media_marker: + info["media_marker"] = media_marker except Exception as e: logger.warning( "Failed to query llama.cpp /props endpoint: %s. " - "Using defaults for context size and capabilities.", + "Image embeddings may fail if the server randomized its media marker.", e, ) - return base_url + return info def _send( self, prompt: str, images: list[bytes], response_format: Optional[dict] = None, + enable_thinking: bool = False, ) -> Optional[str]: """Submit a request to llama.cpp server.""" if self.provider is None: @@ -186,7 +340,7 @@ def _send( ) # Build request payload with llama.cpp native options - payload = { + payload: dict[str, Any] = { "model": self.genai_config.model, "messages": [ { @@ -200,6 +354,9 @@ def _send( if response_format: payload["response_format"] = response_format + if self.supports_toggleable_thinking: + payload["chat_template_kwargs"] = {"enable_thinking": enable_thinking} + response = requests.post( f"{self.provider}/v1/chat/completions", json=payload, @@ -236,6 +393,10 @@ def supports_tools(self) -> bool: """Whether the loaded model supports tool/function calling.""" return self._supports_tools + @property + def supports_toggleable_thinking(self) -> bool: + return self._supports_reasoning + def list_models(self) -> list[str]: """Return available model IDs from the llama.cpp server.""" base_url = self.provider or ( @@ -272,12 +433,98 @@ def get_context_size(self) -> int: return self._context_size return 4096 + def estimate_image_tokens(self, width: int, height: int) -> float: + """Probe the llama.cpp server to learn the model's image-token cost at the + requested dimensions. + + llama.cpp's image tokenization is a deterministic function of dimensions and + the loaded mmproj, so the result is cached per (width, height) for the + lifetime of the process. Falls back to the base pixel heuristic if the + server is unreachable or the response is malformed. + """ + if self.provider is None: + return super().estimate_image_tokens(width, height) + + cached = self._image_token_cache.get((width, height)) + + if cached is not None: + return cached + + try: + baseline = self._probe_baseline_tokens() + with_image = self._probe_image_prompt_tokens(width, height) + tokens = max(1, with_image - baseline) + except Exception as e: + logger.debug( + "llama.cpp image-token probe failed for %dx%d (%s); using heuristic", + width, + height, + e, + ) + return super().estimate_image_tokens(width, height) + + self._image_token_cache[(width, height)] = tokens + logger.debug( + "llama.cpp model '%s' uses ~%d tokens for %dx%d images", + self.genai_config.model, + tokens, + width, + height, + ) + return tokens + + def _probe_baseline_tokens(self) -> int: + """Return prompt_tokens for a minimal text-only request. Cached after first call.""" + if self._text_baseline_tokens is not None: + return self._text_baseline_tokens + + self._text_baseline_tokens = self._probe_prompt_tokens( + [{"type": "text", "text": "."}] + ) + return self._text_baseline_tokens + + def _probe_image_prompt_tokens(self, width: int, height: int) -> int: + """Return prompt_tokens for a single synthetic image plus minimal text.""" + img = Image.new("RGB", (width, height), (128, 128, 128)) + buf = io.BytesIO() + img.save(buf, format="JPEG", quality=60) + encoded = base64.b64encode(buf.getvalue()).decode("utf-8") + return self._probe_prompt_tokens( + [ + {"type": "text", "text": "."}, + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{encoded}"}, + }, + ] + ) + + def _probe_prompt_tokens(self, content: list[dict[str, Any]]) -> int: + """POST a 1-token chat completion and return reported prompt_tokens. + + Uses a generous timeout to absorb a cold model load on the first probe + when the server lazily loads models on demand (e.g. llama-swap). + """ + payload = { + "model": self.genai_config.model, + "messages": [{"role": "user", "content": content}], + "max_tokens": 1, + } + response = requests.post( + f"{self.provider}/v1/chat/completions", + json=payload, + timeout=60, + ) + response.raise_for_status() + return int(response.json()["usage"]["prompt_tokens"]) + def _build_payload( self, messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]], tool_choice: Optional[str], stream: bool = False, + enable_thinking: Optional[bool] = None, ) -> dict[str, Any]: """Build request payload for chat completions (sync or stream).""" openai_tool_choice = None @@ -293,29 +540,47 @@ def _build_payload( "messages": messages, "model": self.genai_config.model, } + if stream: payload["stream"] = True + payload["stream_options"] = {"include_usage": True} + payload["timings_per_token"] = True + if tools: payload["tools"] = tools + if openai_tool_choice is not None: payload["tool_choice"] = openai_tool_choice + + if enable_thinking is not None and self._supports_reasoning: + payload["chat_template_kwargs"] = {"enable_thinking": enable_thinking} + provider_opts = { k: v for k, v in self.provider_options.items() if k != "context_size" } payload.update(provider_opts) + payload.update(self.genai_config.runtime_options) return payload def _message_from_choice(self, choice: dict[str, Any]) -> dict[str, Any]: - """Parse OpenAI-style choice into {content, tool_calls, finish_reason}.""" + """Parse OpenAI-style choice into {content, reasoning, tool_calls, finish_reason}. + + llama.cpp's `--reasoning-format` puts the trace in + `message.reasoning_content` (preferred) or `message.thinking`; both + keys are accepted so different builds work without configuration. + """ message = choice.get("message", {}) content = message.get("content") content = content.strip() if content else None + reasoning = message.get("reasoning_content") or message.get("thinking") + reasoning = reasoning.strip() if reasoning else None tool_calls = parse_tool_calls_from_message(message) finish_reason = choice.get("finish_reason") or ( "tool_calls" if tool_calls else "stop" if content else "error" ) return { "content": content, + "reasoning": reasoning, "tool_calls": tool_calls, "finish_reason": finish_reason, } @@ -344,6 +609,31 @@ def _streamed_tool_calls_to_list( ) return result if result else None + def _refresh_media_marker(self) -> bool: + """Re-fetch /props and update the cached media marker if it changed. + + The server randomizes the marker per startup (unless LLAMA_MEDIA_MARKER + is set), so a stale marker indicates a restart. Returns True iff the + marker was updated to a new value — used to gate a one-shot retry of + a failed embeddings request. + """ + if self.provider is None: + return False + try: + props = _fetch_llama_props(self.provider, self.genai_config.model) + except Exception as e: + logger.warning("Failed to refresh llama.cpp media marker: %s", e) + return False + + marker = props.get("media_marker") + + if not isinstance(marker, str) or not marker or marker == self._media_marker: + return False + + logger.info("llama.cpp media marker changed (server restart); refreshed") + self._media_marker = marker + return True + def embed( self, texts: list[str] | None = None, @@ -368,29 +658,46 @@ def embed( EMBEDDING_DIM = 768 - content = [] - for text in texts: - content.append({"prompt_string": text}) + encoded_images: list[str] = [] for img in images: # llama.cpp uses STB which does not support WebP; convert to JPEG jpeg_bytes = _to_jpeg(img) to_encode = jpeg_bytes if jpeg_bytes is not None else img - encoded = base64.b64encode(to_encode).decode("utf-8") - # prompt_string must contain <__media__> placeholder for image tokenization - content.append( - { - "prompt_string": "<__media__>\n", - "multimodal_data": [encoded], # type: ignore[dict-item] - } - ) + encoded_images.append(base64.b64encode(to_encode).decode("utf-8")) + + def build_content() -> list[dict[str, Any]]: + # prompt_string must contain the server's media marker placeholder + # for each image. The marker is randomized per server startup. + content: list[dict[str, Any]] = [] + for text in texts: + content.append({"prompt_string": text}) + for encoded in encoded_images: + content.append( + { + "prompt_string": f"{self._media_marker}\n", + "multimodal_data": [encoded], + } + ) + return content - try: - response = requests.post( + def post_embeddings() -> requests.Response: + return requests.post( f"{self.provider}/embeddings", - json={"model": self.genai_config.model, "content": content}, + json={"model": self.genai_config.model, "content": build_content()}, timeout=self.timeout, ) - response.raise_for_status() + + try: + try: + response = post_embeddings() + response.raise_for_status() + except requests.exceptions.RequestException: + # The server may have restarted with a new media marker. + # Refresh from /props; only retry if the marker actually changed. + if not encoded_images or not self._refresh_media_marker(): + raise + response = post_embeddings() + response.raise_for_status() result = response.json() items = result.get("data", result) if isinstance(result, dict) else result @@ -453,6 +760,7 @@ def chat_with_tools( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> dict[str, Any]: """ Send chat messages to llama.cpp server with optional tool definitions. @@ -470,7 +778,13 @@ def chat_with_tools( "finish_reason": "error", } try: - payload = self._build_payload(messages, tools, tool_choice, stream=False) + payload = self._build_payload( + messages, + tools, + tool_choice, + stream=False, + enable_thinking=enable_thinking, + ) response = requests.post( f"{self.provider}/v1/chat/completions", json=payload, @@ -518,6 +832,7 @@ async def chat_with_tools_stream( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> AsyncGenerator[tuple[str, Any], None]: """Stream chat with tools via OpenAI-compatible streaming API.""" if self.provider is None: @@ -534,8 +849,15 @@ async def chat_with_tools_stream( ) return try: - payload = self._build_payload(messages, tools, tool_choice, stream=True) + payload = self._build_payload( + messages, + tools, + tool_choice, + stream=True, + enable_thinking=enable_thinking, + ) content_parts: list[str] = [] + reasoning_parts: list[str] = [] tool_calls_by_index: dict[int, dict[str, Any]] = {} finish_reason = "stop" @@ -556,12 +878,24 @@ async def chat_with_tools_stream( data = json.loads(data_str) except json.JSONDecodeError: continue + maybe_stats = _stats_from_llama_cpp_chunk(data) + if maybe_stats is not None: + yield ("stats", maybe_stats) choices = data.get("choices") or [] if not choices: continue delta = choices[0].get("delta", {}) if choices[0].get("finish_reason"): finish_reason = choices[0]["finish_reason"] + # llama.cpp emits separated thinking under + # reasoning_content (preferred) or thinking before any + # content tokens arrive + reasoning_delta = delta.get("reasoning_content") or delta.get( + "thinking" + ) + if reasoning_delta: + reasoning_parts.append(reasoning_delta) + yield ("reasoning_delta", reasoning_delta) if delta.get("content"): content_parts.append(delta["content"]) yield ("content_delta", delta["content"]) @@ -587,6 +921,7 @@ async def chat_with_tools_stream( ) full_content = "".join(content_parts).strip() or None + full_reasoning = "".join(reasoning_parts).strip() or None tool_calls_list = self._streamed_tool_calls_to_list(tool_calls_by_index) if tool_calls_list: finish_reason = "tool_calls" @@ -594,6 +929,7 @@ async def chat_with_tools_stream( "message", { "content": full_content, + "reasoning": full_reasoning, "tool_calls": tool_calls_list, "finish_reason": finish_reason, }, diff --git a/frigate/genai/ollama.py b/frigate/genai/plugins/ollama.py similarity index 65% rename from frigate/genai/ollama.py rename to frigate/genai/plugins/ollama.py index 7524d54e38..08176f524b 100644 --- a/frigate/genai/ollama.py +++ b/frigate/genai/plugins/ollama.py @@ -1,5 +1,7 @@ """Ollama Provider for Frigate AI.""" +import base64 +import binascii import json import logging from typing import Any, AsyncGenerator, Optional @@ -16,6 +18,72 @@ logger = logging.getLogger(__name__) +def _extract_ollama_stats(response: Any) -> Optional[dict[str, Any]]: + """Build a stats dict from Ollama's response metadata. + + Ollama reports eval_count/eval_duration (generation) and + prompt_eval_count (context size). Durations are nanoseconds. + """ + if not response: + return None + if hasattr(response, "get"): + getter = response.get + else: + getter = lambda key: getattr(response, key, None) # noqa: E731 + + eval_count = getter("eval_count") + eval_duration_ns = getter("eval_duration") + prompt_eval_count = getter("prompt_eval_count") + if eval_count is None and prompt_eval_count is None: + return None + + stats: dict[str, Any] = {} + if isinstance(prompt_eval_count, int): + stats["prompt_tokens"] = prompt_eval_count + if isinstance(eval_count, int): + stats["completion_tokens"] = eval_count + if isinstance(eval_duration_ns, int) and eval_duration_ns > 0: + stats["completion_duration_ms"] = eval_duration_ns / 1_000_000 + if isinstance(eval_count, int) and eval_count > 0: + stats["tokens_per_second"] = eval_count / (eval_duration_ns / 1_000_000_000) + return stats or None + + +def _normalize_multimodal_content( + content: Any, +) -> tuple[Optional[str], Optional[list[bytes]]]: + """Convert OpenAI-style multimodal content to Ollama's (text, images) shape. + + The chat API constructs user messages with content as a list of + ``{"type": "text"}`` and ``{"type": "image_url"}`` parts when a tool + returns a live frame. Ollama's SDK requires content to be a string and + images to be passed in a separate field, so we extract each. + """ + if not isinstance(content, list): + return content, None + + text_parts: list[str] = [] + images: list[bytes] = [] + for part in content: + if not isinstance(part, dict): + continue + part_type = part.get("type") + if part_type == "text": + text = part.get("text") + if text: + text_parts.append(str(text)) + elif part_type == "image_url": + url = (part.get("image_url") or {}).get("url", "") + if isinstance(url, str) and url.startswith("data:"): + try: + encoded = url.split(",", 1)[1] + images.append(base64.b64decode(encoded, validate=True)) + except (ValueError, IndexError, binascii.Error) as e: + logger.debug("Failed to decode multimodal image url: %s", e) + + return ("\n".join(text_parts) if text_parts else None), (images or None) + + @register_genai_provider(GenAIProviderEnum.ollama) class OllamaClient(GenAIClient): """Generative AI client for Frigate using Ollama.""" @@ -30,6 +98,28 @@ class OllamaClient(GenAIClient): provider: ApiClient | None provider_options: dict[str, Any] + _supports_thinking_cache: Optional[bool] = None + + @property + def supports_toggleable_thinking(self) -> bool: + if self._supports_thinking_cache is not None: + return self._supports_thinking_cache + if self.provider is None: + return False + try: + response = self.provider.show(self.genai_config.model) + capabilities = response.get("capabilities") or [] + self._supports_thinking_cache = "thinking" in capabilities + except Exception as e: + logger.debug("Failed to query Ollama model capabilities: %s", e) + self._supports_thinking_cache = False + return self._supports_thinking_cache + + def _auth_headers(self) -> dict | None: + if self.genai_config.api_key: + return {"Authorization": "Bearer " + self.genai_config.api_key} + + return None def _init_provider(self) -> ApiClient | None: """Initialize the client.""" @@ -39,7 +129,14 @@ def _init_provider(self) -> ApiClient | None: } try: - client = ApiClient(host=self.genai_config.base_url, timeout=self.timeout) + client = ApiClient( + host=self.genai_config.base_url, + timeout=self.timeout, + headers=self._auth_headers(), + ) + if not self.validate_model: + # Probe path + return client # ensure the model is available locally response = client.show(self.genai_config.model) if response.get("error"): @@ -97,6 +194,7 @@ def _send( prompt: str, images: list[bytes], response_format: Optional[dict] = None, + enable_thinking: bool = False, ) -> Optional[str]: """Submit a request to Ollama""" if self.provider is None: @@ -113,6 +211,17 @@ def _send( schema = response_format.get("json_schema", {}).get("schema") if schema: ollama_options["format"] = self._clean_schema_for_ollama(schema) + if self.supports_toggleable_thinking: + ollama_options["think"] = enable_thinking + logger.debug( + "Ollama generate request: model=%s, prompt_len=%s, image_count=%s, " + "has_format=%s, options=%s", + self.genai_config.model, + len(prompt), + len(images) if images else 0, + "format" in ollama_options, + {k: v for k, v in ollama_options.items() if k != "format"}, + ) result = self.provider.generate( self.genai_config.model, prompt, @@ -120,9 +229,24 @@ def _send( **ollama_options, ) logger.debug( - f"Ollama tokens used: eval_count={result.get('eval_count')}, prompt_eval_count={result.get('prompt_eval_count')}" + "Ollama generate response: done=%s, done_reason=%s, eval_count=%s, " + "prompt_eval_count=%s, response_len=%s", + result.get("done"), + result.get("done_reason"), + result.get("eval_count"), + result.get("prompt_eval_count"), + len(result.get("response", "") or ""), ) - return str(result["response"]).strip() + response_text = str(result["response"]).strip() + if not response_text: + logger.warning( + "Ollama returned a blank response for model %s (done_reason=%s, " + "eval_count=%s). Check model output, ensure thinking is disabled.", + self.genai_config.model, + result.get("done_reason"), + result.get("eval_count"), + ) + return response_text except ( TimeoutException, ResponseError, @@ -142,7 +266,9 @@ def list_models(self) -> list[str]: return [] try: client = ApiClient( - host=self.genai_config.base_url, timeout=self.timeout + host=self.genai_config.base_url, + timeout=self.timeout, + headers=self._auth_headers(), ) except Exception: return [] @@ -167,14 +293,18 @@ def _build_request_params( tools: Optional[list[dict[str, Any]]], tool_choice: Optional[str], stream: bool = False, + enable_thinking: Optional[bool] = None, ) -> dict[str, Any]: """Build request_messages and params for chat (sync or stream).""" request_messages = [] for msg in messages: - msg_dict = { + content, images = _normalize_multimodal_content(msg.get("content", "")) + msg_dict: dict[str, Any] = { "role": msg.get("role"), - "content": msg.get("content", ""), + "content": content if content is not None else "", } + if images: + msg_dict["images"] = images if msg.get("tool_call_id"): msg_dict["tool_call_id"] = msg["tool_call_id"] if msg.get("name"): @@ -202,11 +332,14 @@ def _build_request_params( "model": self.genai_config.model, "messages": request_messages, **self.provider_options, + **self.genai_config.runtime_options, } if stream: request_params["stream"] = True if tools: request_params["tools"] = tools + if enable_thinking is not None and self.supports_toggleable_thinking: + request_params["think"] = enable_thinking return request_params def _message_from_response(self, response: dict[str, Any]) -> dict[str, Any]: @@ -229,6 +362,9 @@ def _message_from_response(self, response: dict[str, Any]) -> dict[str, Any]: response.get("done"), ) content = message.get("content", "").strip() if message.get("content") else None + reasoning = ( + message.get("thinking", "").strip() if message.get("thinking") else None + ) tool_calls = parse_tool_calls_from_message(message) finish_reason = "error" if response.get("done"): @@ -241,6 +377,7 @@ def _message_from_response(self, response: dict[str, Any]) -> dict[str, Any]: finish_reason = "stop" return { "content": content, + "reasoning": reasoning, "tool_calls": tool_calls, "finish_reason": finish_reason, } @@ -250,6 +387,7 @@ def chat_with_tools( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> dict[str, Any]: if self.provider is None: logger.warning( @@ -262,7 +400,11 @@ def chat_with_tools( } try: request_params = self._build_request_params( - messages, tools, tool_choice, stream=False + messages, + tools, + tool_choice, + stream=False, + enable_thinking=enable_thinking, ) response = self.provider.chat(**request_params) return self._message_from_response(response) @@ -286,6 +428,7 @@ async def chat_with_tools_stream( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> AsyncGenerator[tuple[str, Any], None]: """Stream chat with tools; yields content deltas then final message. @@ -315,47 +458,76 @@ async def chat_with_tools_stream( "Ollama: tools provided, using non-streaming call for tool support" ) request_params = self._build_request_params( - messages, tools, tool_choice, stream=False + messages, + tools, + tool_choice, + stream=False, + enable_thinking=enable_thinking, ) async_client = OllamaAsyncClient( host=self.genai_config.base_url, timeout=self.timeout, + headers=self._auth_headers(), ) response = await async_client.chat(**request_params) result = self._message_from_response(response) + reasoning = result.get("reasoning") + if reasoning: + yield ("reasoning_delta", reasoning) content = result.get("content") if content: yield ("content_delta", content) + stats = _extract_ollama_stats(response) + if stats is not None: + yield ("stats", stats) yield ("message", result) return request_params = self._build_request_params( - messages, tools, tool_choice, stream=True + messages, + tools, + tool_choice, + stream=True, + enable_thinking=enable_thinking, ) async_client = OllamaAsyncClient( host=self.genai_config.base_url, timeout=self.timeout, + headers=self._auth_headers(), ) content_parts: list[str] = [] + reasoning_parts: list[str] = [] final_message: dict[str, Any] | None = None + final_chunk: Any = None stream = await async_client.chat(**request_params) async for chunk in stream: if not chunk or "message" not in chunk: continue msg = chunk.get("message", {}) + reasoning_delta = msg.get("thinking") or "" + if reasoning_delta: + reasoning_parts.append(reasoning_delta) + yield ("reasoning_delta", reasoning_delta) delta = msg.get("content") or "" if delta: content_parts.append(delta) yield ("content_delta", delta) if chunk.get("done"): + final_chunk = chunk full_content = "".join(content_parts).strip() or None + full_reasoning = "".join(reasoning_parts).strip() or None final_message = { "content": full_content, + "reasoning": full_reasoning, "tool_calls": None, "finish_reason": "stop", } break + stats = _extract_ollama_stats(final_chunk) + if stats is not None: + yield ("stats", stats) + if final_message is not None: yield ("message", final_message) else: @@ -363,6 +535,7 @@ async def chat_with_tools_stream( "message", { "content": "".join(content_parts).strip() or None, + "reasoning": "".join(reasoning_parts).strip() or None, "tool_calls": None, "finish_reason": "stop", }, diff --git a/frigate/genai/openai.py b/frigate/genai/plugins/openai.py similarity index 76% rename from frigate/genai/openai.py rename to frigate/genai/plugins/openai.py index 88108e730d..3e862f8fd5 100644 --- a/frigate/genai/openai.py +++ b/frigate/genai/plugins/openai.py @@ -14,6 +14,22 @@ logger = logging.getLogger(__name__) +def _stats_from_openai_usage(usage: Any) -> Optional[dict[str, Any]]: + """Build a stats dict from an OpenAI-compatible usage object.""" + if usage is None: + return None + prompt_tokens = getattr(usage, "prompt_tokens", None) + completion_tokens = getattr(usage, "completion_tokens", None) + if prompt_tokens is None and completion_tokens is None: + return None + stats: dict[str, Any] = {} + if isinstance(prompt_tokens, int): + stats["prompt_tokens"] = prompt_tokens + if isinstance(completion_tokens, int): + stats["completion_tokens"] = completion_tokens + return stats or None + + @register_genai_provider(GenAIProviderEnum.openai) class OpenAIClient(GenAIClient): """Generative AI client for Frigate using OpenAI.""" @@ -22,7 +38,11 @@ class OpenAIClient(GenAIClient): context_size: Optional[int] = None def _init_provider(self) -> OpenAI: - """Initialize the client.""" + """Initialize the client. + + Subclasses (e.g. Azure) should raise on configuration errors; the + manager catches construction failures and disables the provider. + """ # Extract context_size from provider_options as it's not a valid OpenAI client parameter # It will be used in get_context_size() instead provider_opts = { @@ -41,6 +61,7 @@ def _send( prompt: str, images: list[bytes], response_format: Optional[dict] = None, + enable_thinking: bool = False, ) -> Optional[str]: """Submit a request to OpenAI.""" encoded_images = [base64.b64encode(image).decode("utf-8") for image in images] @@ -73,14 +94,39 @@ def _send( **self.genai_config.runtime_options, } if response_format: + # OpenAI strict mode requires additionalProperties: false on the schema + if response_format.get("type") == "json_schema" and response_format.get( + "json_schema", {} + ).get("strict"): + schema = response_format.get("json_schema", {}).get("schema") + if isinstance(schema, dict): + schema["additionalProperties"] = False request_params["response_format"] = response_format + result = self.provider.chat.completions.create(**request_params) + if ( result is not None and hasattr(result, "choices") and len(result.choices) > 0 ): - return str(result.choices[0].message.content.strip()) + message = result.choices[0].message + content = message.content + + if not content: + # When reasoning is enabled for some OpenAI backends the actual response + # is incorrectly placed in reasoning_content instead of content. + # This is buggy/incorrect behavior — reasoning should not be + # enabled for these models. + reasoning_content = getattr(message, "reasoning_content", None) + if reasoning_content: + logger.warning( + "Response content was empty but reasoning_content was provided; " + "reasoning appears to be enabled and should be disabled for this model." + ) + content = reasoning_content + + return str(content.strip()) if content else None return None except (TimeoutException, Exception) as e: logger.warning("OpenAI returned an error: %s", str(e)) @@ -142,11 +188,14 @@ def chat_with_tools( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> dict[str, Any]: """ Send chat messages to OpenAI with optional tool definitions. - Implements function calling/tool usage for OpenAI models. + Implements function calling/tool usage for OpenAI models. The OpenAI + chat completions API does not expose a per-request thinking toggle, + so ``enable_thinking`` is accepted for interface parity and ignored. """ try: openai_tool_choice = None @@ -162,6 +211,7 @@ def chat_with_tools( "model": self.genai_config.model, "messages": messages, "timeout": self.timeout, + **self.genai_config.runtime_options, } if tools: @@ -178,7 +228,7 @@ def chat_with_tools( } request_params.update(provider_opts) - result = self.provider.chat.completions.create(**request_params) # type: ignore[call-overload] + result = self.provider.chat.completions.create(**request_params) if ( result is None @@ -194,6 +244,10 @@ def chat_with_tools( choice = result.choices[0] message = choice.message content = message.content.strip() if message.content else None + raw_reasoning = getattr(message, "reasoning_content", None) or getattr( + message, "reasoning", None + ) + reasoning = raw_reasoning.strip() if raw_reasoning else None tool_calls = None if message.tool_calls: @@ -228,6 +282,7 @@ def chat_with_tools( return { "content": content, + "reasoning": reasoning, "tool_calls": tool_calls, "finish_reason": finish_reason, } @@ -236,6 +291,7 @@ def chat_with_tools( logger.warning("OpenAI request timed out: %s", str(e)) return { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", } @@ -243,6 +299,7 @@ def chat_with_tools( logger.warning("OpenAI returned an error: %s", str(e)) return { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", } @@ -252,11 +309,15 @@ async def chat_with_tools_stream( messages: list[dict[str, Any]], tools: Optional[list[dict[str, Any]]] = None, tool_choice: Optional[str] = "auto", + enable_thinking: Optional[bool] = None, ) -> AsyncGenerator[tuple[str, Any], None]: """ Stream chat with tools; yields content deltas then final message. Implements streaming function calling/tool usage for OpenAI models. + The OpenAI chat completions API does not expose a per-request thinking + toggle, so ``enable_thinking`` is accepted for interface parity and + ignored. """ try: openai_tool_choice = None @@ -273,6 +334,8 @@ async def chat_with_tools_stream( "messages": messages, "timeout": self.timeout, "stream": True, + "stream_options": {"include_usage": True}, + **self.genai_config.runtime_options, } if tools: @@ -291,12 +354,18 @@ async def chat_with_tools_stream( # Use streaming API content_parts: list[str] = [] + reasoning_parts: list[str] = [] tool_calls_by_index: dict[int, dict[str, Any]] = {} finish_reason = "stop" + usage_stats: Optional[dict[str, Any]] = None - stream = self.provider.chat.completions.create(**request_params) # type: ignore[call-overload] + stream = self.provider.chat.completions.create(**request_params) for chunk in stream: + chunk_usage = getattr(chunk, "usage", None) + if chunk_usage is not None: + usage_stats = _stats_from_openai_usage(chunk_usage) + if not chunk or not chunk.choices: continue @@ -307,6 +376,15 @@ async def chat_with_tools_stream( if choice.finish_reason: finish_reason = choice.finish_reason + # Extract reasoning deltas (reasoning_content or reasoning, + # depending on the server) + reasoning_delta = getattr(delta, "reasoning_content", None) or getattr( + delta, "reasoning", None + ) + if reasoning_delta: + reasoning_parts.append(reasoning_delta) + yield ("reasoning_delta", reasoning_delta) + # Extract content deltas if delta.content: content_parts.append(delta.content) @@ -335,6 +413,7 @@ async def chat_with_tools_stream( # Build final message full_content = "".join(content_parts).strip() or None + full_reasoning = "".join(reasoning_parts).strip() or None # Convert tool calls to list format tool_calls_list = None @@ -356,10 +435,14 @@ async def chat_with_tools_stream( ) finish_reason = "tool_calls" + if usage_stats is not None: + yield ("stats", usage_stats) + yield ( "message", { "content": full_content, + "reasoning": full_reasoning, "tool_calls": tool_calls_list, "finish_reason": finish_reason, }, @@ -371,6 +454,7 @@ async def chat_with_tools_stream( "message", { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", }, @@ -381,6 +465,7 @@ async def chat_with_tools_stream( "message", { "content": None, + "reasoning": None, "tool_calls": None, "finish_reason": "error", }, diff --git a/frigate/genai/prompts.py b/frigate/genai/prompts.py new file mode 100644 index 0000000000..93e19209bf --- /dev/null +++ b/frigate/genai/prompts.py @@ -0,0 +1,739 @@ +"""Prompt and response-format builders for GenAI features. + +Centralizes the per-feature prompt framing and structured-output schema +shaping so provider clients in :mod:`frigate.genai.plugins` only handle +transport. +""" + +import datetime +from typing import Any, Dict, List, Optional + +from playhouse.shortcuts import model_to_dict + +from frigate.config import CameraConfig, FrigateConfig +from frigate.config.classification import ObjectClassificationType +from frigate.config.ui import UnitSystemEnum +from frigate.data_processing.post.types import ReviewMetadata +from frigate.models import Event + + +def build_review_description_prompt( + review_data: dict[str, Any], + thumbnails: list[bytes], + concerns: list[str], + preferred_language: str | None, + activity_context_prompt: str, +) -> str: + """Build the prompt for review activity description generation.""" + + def get_concern_prompt() -> str: + if concerns: + concern_list = "\n - ".join(concerns) + return ( + "\n- `other_concerns` (list of strings): Include a list of any of " + "the following concerns that are occurring:\n" + f" - {concern_list}" + ) + else: + return "" + + def get_language_prompt() -> str: + if preferred_language: + return f"Provide your answer in {preferred_language}" + else: + return "" + + def get_objects_list() -> str: + if review_data["unified_objects"]: + return "\n- " + "\n- ".join(review_data["unified_objects"]) + else: + return "\n- (No objects detected)" + + return f""" +Your task is to analyze a sequence of images taken in chronological order from a security camera. + +## Normal Activity Patterns for This Property + +{activity_context_prompt} + +## Task Instructions + +Describe the scene based on observable actions and movements, evaluate the activity against the Activity Indicators above, and assign a potential_threat_level (0, 1, or 2) by applying the threat level indicators consistently. + +## Analysis Guidelines + +When forming your description: +- **Treat "Objects in Scene" as the list of tracked subjects to describe.** Do not introduce additional people or vehicles that are not present in this list. You may freely reference other items, surfaces, and environmental details visible in the frames when describing what the listed subjects are doing. +- **Describe the most likely activity from visible cues across the sequence** — the subject's path, what they are carrying, and what they interact with. Avoid asserting completed outcomes you do not observe; describe in-progress actions rather than results. +- Describe what you observe: actions, movements, interactions with objects and the environment. Include any observable environmental changes (e.g., lighting changes triggered by activity). +- Note visible details such as clothing, items being carried or placed, tools or equipment present, and how they interact with the property or objects. +- Consider the full sequence chronologically: what happens from start to finish, how duration and actions relate to the location and objects involved. +- **Use the actual timestamp provided in "Activity started at"** below for time of day context—do not infer time from image brightness or darkness. Unusual hours (late night/early morning) should increase suspicion when the observable behavior itself appears questionable. However, recognize that some legitimate activities can occur at any hour. +- **Consider duration as a primary factor**: Apply the duration thresholds defined in the activity patterns above. Brief sequences during normal hours with apparent purpose typically indicate normal activity unless explicit suspicious actions are visible. +- **Weigh all evidence holistically**: Match the activity against the normal and suspicious patterns defined above, then evaluate based on the complete context (zone, objects, time, actions, duration). Apply the threat level indicators consistently. Use your judgment for edge cases. + +## Response Field Guidelines + +Respond with a JSON object matching the provided schema. Field-specific guidance: +- `observations`: Include the very start of the activity — for example, a vehicle entering the frame or pulling into the driveway — even if it lasts only a few frames and the rest of the clip is dominated by a longer activity. Include each arrival, departure, object handled, and notable change in position or state. Each item is a single concrete fact written as a complete sentence. +- `scene`: Describe how the sequence begins, then the progression of events — all significant movements and actions in order. For example, if a vehicle arrives and then a person exits, describe both sequentially. For named subjects (those with a `←` separator in "Objects in Scene"), always use their name — do not replace them with generic terms. For unnamed objects (e.g., "person", "car"), refer to them naturally with articles (e.g., "a person", "the car"). Your description should align with and support the threat level you assign. +- `title`: Name the primary activity across the observations, together with the location. An activity is what is being done with objects, tools, or surfaces; locomotion through the scene qualifies as the activity only when no other interaction is observed. For named subjects, always use their name. For unnamed objects, refer to them naturally with articles. +- `shortSummary`: Briefly summarize the primary activity across the observations. +- `potential_threat_level`: Must be consistent with your scene description and the activity patterns above. +{get_concern_prompt()} + +## Sequence Details + +- Camera: {review_data["camera"]} +- Total frames: {len(thumbnails)} (Frame 1 = earliest, Frame {len(thumbnails)} = latest) +- Activity started at {review_data["start"]} and lasted {review_data["duration"]} seconds +- Zones involved: {", ".join(review_data["zones"]) if review_data["zones"] else "None"} + +## Objects in Scene + +Each line represents a detection state, not necessarily unique individuals. The `←` symbol separates a recognized subject's name from their object type — use only the name (before the `←`) in your response, not the type after it. The same subject may appear across multiple lines if detected multiple times. + +**Note: Unidentified objects (without names) are NOT indicators of suspicious activity—they simply mean the system hasn't identified that object.** +{get_objects_list()} + +{get_language_prompt()} +""" + + +def build_review_description_response_format(concerns: list[str]) -> dict[str, Any]: + """Build the structured-output JSON schema for review descriptions. + + Strips the `time` field (populated server-side) and drops + `other_concerns` when no concerns are configured. + """ + schema = ReviewMetadata.model_json_schema() + schema.get("properties", {}).pop("time", None) + + if "time" in schema.get("required", []): + schema["required"].remove("time") + if not concerns: + schema.get("properties", {}).pop("other_concerns", None) + if "other_concerns" in schema.get("required", []): + schema["required"].remove("other_concerns") + + return { + "type": "json_schema", + "json_schema": { + "name": "review_metadata", + "strict": True, + "schema": schema, + }, + } + + +def build_review_summary_prompt( + start_ts: float, + end_ts: float, + events: list[dict[str, Any]], + preferred_language: str | None, +) -> str: + """Build the prompt for a multi-event review summary.""" + time_range = ( + f"{datetime.datetime.fromtimestamp(start_ts).strftime('%B %d, %Y at %I:%M %p')}" + f" to " + f"{datetime.datetime.fromtimestamp(end_ts).strftime('%B %d, %Y at %I:%M %p')}" + ) + prompt = f""" +You are a security officer writing a concise security report. + +Time range: {time_range} + +Input format: Each event is a JSON object with: +- "title", "scene", "confidence", "potential_threat_level" (0-2), "other_concerns", "camera", "time", "start_time", "end_time" +- "context": array of related events from other cameras that occurred during overlapping time periods + +**Note: Use the "scene" field for event descriptions in the report. Ignore any "shortSummary" field if present.** + +Report Structure - Use this EXACT format: + +# Security Summary - {time_range} + +## Overview +[Write 1-2 sentences summarizing the overall activity pattern during this period.] + +--- + +## Timeline + +[Group events by time periods (e.g., "Morning (6:00 AM - 12:00 PM)", "Afternoon (12:00 PM - 5:00 PM)", "Evening (5:00 PM - 9:00 PM)", "Night (9:00 PM - 6:00 AM)"). Use appropriate time blocks based on when events occurred.] + +### [Time Block Name] + +**HH:MM AM/PM** | [Camera Name] | [Threat Level Indicator] +- [Event title]: [Clear description incorporating contextual information from the "context" array] +- Context: [If context array has items, mention them here, e.g., "Delivery truck present on Front Driveway Cam (HH:MM AM/PM)"] +- Assessment: [Brief assessment incorporating context - if context explains the event, note it here] + +[Repeat for each event in chronological order within the time block] + +--- + +## Summary +[One sentence summarizing the period. If all events are normal/explained: "Routine activity observed." If review needed: "Some activity requires review but no security concerns." If security concerns: "Security concerns requiring immediate attention."] + +Guidelines: +- List ALL events in chronological order, grouped by time blocks +- Threat level indicators: ✓ Normal, ⚠️ Needs review, 🔴 Security concern +- Integrate contextual information naturally - use the "context" array to enrich each event's description +- If context explains the event (e.g., delivery truck explains person at door), describe it accordingly (e.g., "delivery person" not "unidentified person") +- Be concise but informative - focus on what happened and what it means +- If contextual information makes an event clearly normal, reflect that in your assessment +- Only create time blocks that have events - don't create empty sections +""" + + prompt += "\n\nEvents:\n" + for event in events: + prompt += f"\n{event}\n" + + if preferred_language: + prompt += f"\nProvide your answer in {preferred_language}" + + return prompt + + +def build_object_description_prompt( + camera_config: CameraConfig, + event: Event, +) -> str: + """Build the prompt for a per-object description. + + Pulls the per-label override from `objects.genai.object_prompts`, falling + back to the camera default, and interpolates event fields. + + Raises: + KeyError: if the user-defined prompt template references an unknown + event field. + """ + template = camera_config.objects.genai.object_prompts.get( + str(event.label), + camera_config.objects.genai.prompt, + ) + return template.format(**model_to_dict(event)) + + +def get_attribute_classifications(config: FrigateConfig) -> List[Dict[str, Any]]: + """Return enabled custom classification models of `attribute` type. + + Each entry: {"name": , "objects": [, ...]}. + These models attach attribute metadata to events on the listed object + types, which can later be filtered via the search_objects `attribute` + field. + """ + result: List[Dict[str, Any]] = [] + + for model_key, model_config in config.classification.custom.items(): + if not model_config.enabled or model_config.object_config is None: + continue + + if ( + model_config.object_config.classification_type + != ObjectClassificationType.attribute + ): + continue + + result.append( + { + "name": model_config.name or model_key, + "objects": list(model_config.object_config.objects or []), + } + ) + + return result + + +def get_tool_definitions( + semantic_search_enabled: bool = False, + attribute_classifications: Optional[List[Dict[str, Any]]] = None, +) -> List[Dict[str, Any]]: + """ + Get OpenAI-compatible tool definitions for Frigate. + + Returns a list of tool definitions that can be used with OpenAI-compatible + function calling APIs. When semantic search is enabled, the search_objects + tool exposes an additional `semantic_query` parameter for descriptive + queries (e.g. "person riding a lawn mower") and find_similar_objects is + included. When attribute classification models are configured, an + `attribute` parameter is exposed for filtering by their labels. + """ + search_objects_properties: Dict[str, Any] = { + "camera": { + "type": "string", + "description": "Camera name to filter by (optional).", + }, + "label": { + "type": "string", + "description": ( + "Generic object class to filter by — one of the tracked detector " + "labels such as 'person', 'package', 'car', 'dog', 'bird'. Use " + "this for broad queries like 'show me all cars today'. Combine " + "with semantic_query when the user also describes appearance or " + "behavior (e.g. label='person', semantic_query='riding a lawn " + "mower')." + ), + }, + "sub_label": { + "type": "string", + "description": ( + "Filter by a DISCRETE NAMED entity recognized in the detection. " + "Use this for: a known person's name ('John'), a delivery " + "company ('Amazon', 'UPS'), a recognized animal species or " + "breed ('blue jay', 'cardinal', 'golden retriever'), or a " + "license plate string. When filtering by a specific name, set " + "only sub_label and leave label unset. Do NOT use sub_label " + "for descriptions of appearance, clothing, or actions — those " + "belong in semantic_query." + ), + }, + "after": { + "type": "string", + "description": "Start time in ISO 8601 format (e.g., '2024-01-01T00:00:00Z').", + }, + "before": { + "type": "string", + "description": "End time in ISO 8601 format (e.g., '2024-01-01T23:59:59Z').", + }, + "zones": { + "type": "array", + "items": {"type": "string"}, + "description": "List of zone names to filter by.", + }, + "limit": { + "type": "integer", + "description": "Maximum number of objects to return (default: 25).", + "default": 25, + }, + } + + if attribute_classifications: + model_outline = "; ".join( + f"{m['name']} (applies to {', '.join(m['objects']) or 'any object'})" + for m in attribute_classifications + ) + search_objects_properties["attribute"] = { + "type": "string", + "description": ( + "Filter by a classification attribute label produced by a " + "configured attribute classification model. Use this INSTEAD " + "of semantic_query when the user's request matches one of " + "these classifications. Configured models: " + f"{model_outline}. " + "Set the value to the attribute label that matches the user's " + "phrasing (case-sensitive)." + ), + } + + if semantic_search_enabled: + search_objects_properties["semantic_query"] = { + "type": "string", + "description": ( + "Optional natural-language description of a PHYSICAL " + "CHARACTERISTIC, APPEARANCE, or ACTIVITY the user mentioned, " + "used to semantically narrow results. Only set this when the " + "user describes something beyond what label and sub_label can " + "express on their own.\n" + "USE for descriptive phrases like: 'riding a lawn mower', " + "'wearing a red jacket', 'carrying a package', 'walking a " + "dog', 'on a bicycle', 'holding an umbrella'.\n" + "DO NOT USE for:\n" + "- specific named people, pets, or delivery companies → use sub_label\n" + "- animal species or breed names like 'blue jay', 'cardinal', " + "'golden retriever' → use sub_label\n" + "- license plate strings → use sub_label\n" + "- generic object queries like 'all cars today' or 'every " + "person' → use label alone with no semantic_query\n" + "When set, combine with label/time/camera/zone filters as " + "usual (e.g. label='person', semantic_query='riding a lawn " + "mower', after='2024-05-01T00:00:00Z')." + ), + } + + search_objects_description = ( + "Search the historical record of detected objects in Frigate. " + "Use this ONLY for questions about the PAST — e.g. 'did anyone come by today?', " + "'when was the last car?', 'show me detections from yesterday'. " + "Do NOT use this for monitoring or alerting requests about future events — " + "use start_camera_watch instead for those. " + "An 'object' in Frigate represents a tracked detection (e.g., a person, package, car).\n\n" + "Choose filters based on what the user is asking for:\n" + "- Generic class query ('show me all cars today'): set `label` only.\n" + "- Specific NAMED entity (known person, delivery company, animal " + "species/breed like 'blue jay' or 'golden retriever', license " + "plate): set `sub_label` only and leave `label` unset.\n" + ) + if semantic_search_enabled: + search_objects_description += ( + "- Physical CHARACTERISTIC, APPEARANCE, or ACTIVITY that is not a " + "discrete name ('person riding a lawn mower', 'someone in a red " + "jacket', 'person carrying a package'): set `semantic_query` with " + "the descriptive phrase, optionally alongside `label` for the " + "object class. Do NOT put descriptive phrases in sub_label." + ) + + return [ + { + "type": "function", + "function": { + "name": "search_objects", + "description": search_objects_description, + "parameters": { + "type": "object", + "properties": search_objects_properties, + }, + "required": [], + }, + }, + { + "type": "function", + "function": { + "name": "find_similar_objects", + "description": ( + "Find tracked objects that are visually and semantically similar " + "to a specific past event. Use this when the user references a " + "particular object they have seen and wants to find other " + "sightings of the same or similar one ('that green car', 'the " + "person in the red jacket', 'the package that was delivered'). " + "Prefer this over search_objects whenever the user's intent is " + "'find more like this specific one.' Use search_objects first " + "only if you need to locate the anchor event. Requires semantic " + "search to be enabled." + ), + "parameters": { + "type": "object", + "properties": { + "event_id": { + "type": "string", + "description": "The id of the anchor event to find similar objects to.", + }, + "after": { + "type": "string", + "description": "Start time in ISO 8601 format (e.g., '2024-01-01T00:00:00Z').", + }, + "before": { + "type": "string", + "description": "End time in ISO 8601 format (e.g., '2024-01-01T23:59:59Z').", + }, + "cameras": { + "type": "array", + "items": {"type": "string"}, + "description": "Optional list of cameras to restrict to. Defaults to all.", + }, + "labels": { + "type": "array", + "items": {"type": "string"}, + "description": "Optional list of labels to restrict to. Defaults to the anchor event's label.", + }, + "sub_labels": { + "type": "array", + "items": {"type": "string"}, + "description": "Optional list of sub_labels (names) to restrict to.", + }, + "zones": { + "type": "array", + "items": {"type": "string"}, + "description": "Optional list of zones. An event matches if any of its zones overlap.", + }, + "similarity_mode": { + "type": "string", + "enum": ["visual", "semantic", "fused"], + "description": "Which similarity signal(s) to use. 'fused' (default) combines visual and semantic.", + "default": "fused", + }, + "min_score": { + "type": "number", + "description": "Drop matches with a similarity score below this threshold (0.0-1.0).", + }, + "limit": { + "type": "integer", + "description": "Maximum number of matches to return (default: 10).", + "default": 10, + }, + }, + "required": ["event_id"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "set_camera_state", + "description": ( + "Change a camera's feature state (e.g., turn detection on/off, enable/disable recordings). " + "Use camera='*' to apply to all cameras at once. " + "Only call this tool when the user explicitly asks to change a camera setting. " + "Requires admin privileges." + ), + "parameters": { + "type": "object", + "properties": { + "camera": { + "type": "string", + "description": "Camera name to target, or '*' to target all cameras.", + }, + "feature": { + "type": "string", + "enum": [ + "detect", + "record", + "snapshots", + "audio", + "motion", + "enabled", + "birdseye", + "birdseye_mode", + "improve_contrast", + "ptz_autotracker", + "motion_contour_area", + "motion_threshold", + "notifications", + "audio_transcription", + "review_alerts", + "review_detections", + "object_descriptions", + "review_descriptions", + "profile", + ], + "description": ( + "The feature to change. Most features accept ON or OFF. " + "birdseye_mode accepts CONTINUOUS, MOTION, or OBJECTS. " + "motion_contour_area and motion_threshold accept a number. " + "profile accepts a profile name or 'none' to deactivate (requires camera='*')." + ), + }, + "value": { + "type": "string", + "description": "The value to set. ON or OFF for toggles, a number for thresholds, a profile name or 'none' for profile.", + }, + }, + "required": ["camera", "feature", "value"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "get_live_context", + "description": ( + "Get the current live image and detection information for a camera: objects being tracked, " + "zones, timestamps. Use this to understand what is visible in the live view. " + "Call this when answering questions about what is happening right now on a specific camera." + ), + "parameters": { + "type": "object", + "properties": { + "camera": { + "type": "string", + "description": "Camera name to get live context for.", + }, + }, + "required": ["camera"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "start_camera_watch", + "description": ( + "Start a continuous VLM watch job that monitors a camera and sends a notification " + "when a specified condition is met. Use this when the user wants to be alerted about " + "a future event, e.g. 'tell me when guests arrive' or 'notify me when the package is picked up'. " + "Only one watch job can run at a time. Returns a job ID." + ), + "parameters": { + "type": "object", + "properties": { + "camera": { + "type": "string", + "description": "Camera ID to monitor.", + }, + "condition": { + "type": "string", + "description": ( + "Natural-language description of the condition to watch for, " + "e.g. 'a person arrives at the front door'." + ), + }, + "max_duration_minutes": { + "type": "integer", + "description": "Maximum time to watch before giving up (minutes, default 60).", + "default": 60, + }, + "labels": { + "type": "array", + "items": {"type": "string"}, + "description": "Object labels that should trigger a VLM check (e.g. ['person', 'car']). If omitted, any detection on the camera triggers a check.", + }, + "zones": { + "type": "array", + "items": {"type": "string"}, + "description": "Zone names to filter by. If specified, only detections in these zones trigger a VLM check.", + }, + }, + "required": ["camera", "condition"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "stop_camera_watch", + "description": ( + "Cancel the currently running VLM watch job. Use this when the user wants to " + "stop a previously started watch, e.g. 'stop watching the front door'." + ), + "parameters": { + "type": "object", + "properties": {}, + "required": [], + }, + }, + }, + { + "type": "function", + "function": { + "name": "get_profile_status", + "description": ( + "Get the current profile status including the active profile and " + "timestamps of when each profile was last activated. Use this to " + "determine time periods for recap requests — e.g. when the user asks " + "'what happened while I was away?', call this first to find the relevant " + "time window based on profile activation history." + ), + "parameters": { + "type": "object", + "properties": {}, + "required": [], + }, + }, + }, + { + "type": "function", + "function": { + "name": "get_recap", + "description": ( + "Get a recap of all activity (alerts and detections) for a given time period. " + "Use this after calling get_profile_status to retrieve what happened during " + "a specific window — e.g. 'what happened while I was away?'. Returns a " + "chronological list of activity with camera, objects, zones, and GenAI-generated " + "descriptions when available. Summarize the results for the user." + ), + "parameters": { + "type": "object", + "properties": { + "after": { + "type": "string", + "description": "Start of the time period in ISO 8601 format (e.g. '2025-03-15T08:00:00').", + }, + "before": { + "type": "string", + "description": "End of the time period in ISO 8601 format (e.g. '2025-03-15T17:00:00').", + }, + "cameras": { + "type": "string", + "description": "Comma-separated camera IDs to include, or 'all' for all cameras. Default is 'all'.", + }, + "severity": { + "type": "string", + "enum": ["alert", "detection"], + "description": "Filter by severity level. Omit to include both alerts and detections.", + }, + }, + "required": ["after", "before"], + }, + }, + }, + ] + + +def build_chat_system_prompt( + config: FrigateConfig, + allowed_cameras: List[str], + semantic_search_enabled: bool, + attribute_classifications: List[Dict[str, Any]], +) -> str: + """Build the system prompt for the chat completion endpoint. + + Composes the static framing with conditional sections describing the + available cameras, speed units, semantic-search routing guidance, and + configured attribute classifications. + """ + current_datetime = datetime.datetime.now() + current_date_str = current_datetime.strftime("%Y-%m-%d") + current_time_str = current_datetime.strftime("%I:%M:%S %p") + + cameras_info: List[str] = [] + has_speed_zone = False + for camera_id in allowed_cameras: + if camera_id not in config.cameras: + continue + camera_config = config.cameras[camera_id] + friendly_name = ( + camera_config.friendly_name + if camera_config.friendly_name + else camera_id.replace("_", " ").title() + ) + zone_names = list(camera_config.zones.keys()) + if not has_speed_zone: + has_speed_zone = any( + zone.distances for zone in camera_config.zones.values() + ) + if zone_names: + cameras_info.append( + f" - {friendly_name} (ID: {camera_id}, zones: {', '.join(zone_names)})" + ) + else: + cameras_info.append(f" - {friendly_name} (ID: {camera_id})") + + cameras_section = "" + if cameras_info: + cameras_section = ( + "\n\nAvailable cameras:\n" + + "\n".join(cameras_info) + + "\n\nWhen users refer to cameras by their friendly name (e.g., 'Back Deck Camera'), use the corresponding camera ID (e.g., 'back_deck_cam') in tool calls." + ) + + speed_units_section = "" + if has_speed_zone: + speed_unit = ( + "mph" if config.ui.unit_system == UnitSystemEnum.imperial else "km/h" + ) + speed_units_section = f"\n\nReport object speeds to the user in {speed_unit}." + + semantic_search_section = "" + if semantic_search_enabled: + semantic_search_section = ( + "\n\nWhen routing a search_objects call, pick filters by the shape of the user's request:\n" + "- Generic class ('show me all cars today'): set `label` only.\n" + "- Specific named entity — a known person ('John'), delivery company ('Amazon'), animal species/breed ('blue jay', 'cardinal', 'golden retriever'), or license plate: set `sub_label` only and leave `label` unset.\n" + "- Physical characteristic, appearance, or activity that is NOT a discrete name ('find me people riding a lawn mower', 'someone in a red jacket', 'a person carrying a package'): set `semantic_query` with the descriptive phrase, optionally combined with `label` for the object class. Never put descriptive phrases in `sub_label`." + ) + + attribute_classification_section = "" + if attribute_classifications: + model_lines = "\n".join( + f"- {m['name']}: applies to {', '.join(m['objects']) or 'any object'}" + for m in attribute_classifications + ) + attribute_classification_section = ( + "\n\nAttribute classification models are configured for the following object types:\n" + f"{model_lines}\n" + "When the user's request matches one of these classifications, set the search_objects `attribute` field to the matching label rather than using `semantic_query`. Reserve `semantic_query` for descriptive phrases that fall outside the configured attribute labels." + ) + + return f"""You are a helpful assistant for Frigate, a security camera NVR system. You help users answer questions about their cameras, detected objects, and events. + +Current server local date and time: {current_date_str} at {current_time_str} + +Do not start your response with phrases like "I will check...", "Let me see...", or "Let me look...". Answer directly. + +Always present times to the user in the server's local timezone. When tool results include start_time_local and end_time_local, use those exact strings when listing or describing detection times—do not convert or invent timestamps. Do not use UTC or ISO format with Z for the user-facing answer unless the tool result only provides Unix timestamps without local time fields. +When users ask about "today", "yesterday", "this week", etc., use the current date above as reference. +When searching for objects or events, use ISO 8601 format for dates (e.g., {current_date_str}T00:00:00Z for the start of today). +Always be accurate with time calculations based on the current date provided. + +When a user refers to a specific object they have seen or describe with identifying details ("that green car", "the person in the red jacket", "a package left today"), prefer the find_similar_objects tool over search_objects. Use search_objects first only to locate the anchor event, then pass its id to find_similar_objects. For generic queries like "show me all cars today", keep using search_objects. If a user message begins with [attached_event:], treat that event id as the anchor for any similarity or "tell me more" request in the same message and call find_similar_objects with that id.{semantic_search_section}{attribute_classification_section}{cameras_section}{speed_units_section}""" diff --git a/frigate/genai/utils.py b/frigate/genai/utils.py index 44f982059b..a382647cb9 100644 --- a/frigate/genai/utils.py +++ b/frigate/genai/utils.py @@ -69,6 +69,14 @@ def build_assistant_message_for_conversation( "name": tc["name"], "arguments": json.dumps(tc.get("arguments") or {}), }, + # Gemini-only: opaque signature that must be echoed back on + # the same functionCall part in the next turn. Other providers + # do not set or read this. + **( + {"thought_signature": tc["thought_signature"]} + if tc.get("thought_signature") + else {} + ), } for tc in tool_calls_raw ] diff --git a/frigate/jobs/debug_replay.py b/frigate/jobs/debug_replay.py new file mode 100644 index 0000000000..3d8b2d6b63 --- /dev/null +++ b/frigate/jobs/debug_replay.py @@ -0,0 +1,493 @@ +"""Debug replay startup job: ffmpeg remux + camera config publish. + +The runner orchestrates the async portion of starting a debug replay +session. The DebugReplayManager (in frigate.debug_replay) owns session +presence so the status bar can keep reading a single `active` flag from +/debug_replay/status for the entire session window — which is broader +than this job's lifetime. +""" + +import logging +import os +import subprocess as sp +import threading +import time +from abc import ABC, abstractmethod +from dataclasses import dataclass +from typing import TYPE_CHECKING, Any, Optional, cast + +from peewee import ModelSelect + +from frigate.config import FrigateConfig +from frigate.config.camera.updater import CameraConfigUpdatePublisher +from frigate.const import REPLAY_CAMERA_PREFIX, REPLAY_DIR +from frigate.jobs.export import JobStatePublisher +from frigate.jobs.job import Job +from frigate.jobs.manager import job_is_running, set_current_job +from frigate.models import Export, Recordings +from frigate.types import JobStatusTypesEnum +from frigate.util.ffmpeg import run_ffmpeg_with_progress + +if TYPE_CHECKING: + from frigate.debug_replay import DebugReplayManager + +logger = logging.getLogger(__name__) + +# Coalesce frequent ffmpeg progress callbacks so the WS isn't flooded. +PROGRESS_BROADCAST_MIN_INTERVAL = 1.0 + +JOB_TYPE = "debug_replay" + +STEP_PREPARING_CLIP = "preparing_clip" +STEP_STARTING_CAMERA = "starting_camera" + + +_active_runner: Optional["DebugReplayJobRunner"] = None +_runner_lock = threading.Lock() + + +def _set_active_runner(runner: Optional["DebugReplayJobRunner"]) -> None: + global _active_runner + with _runner_lock: + _active_runner = runner + + +def get_active_runner() -> Optional["DebugReplayJobRunner"]: + with _runner_lock: + return _active_runner + + +@dataclass +class DebugReplayJob(Job): + """Job state for a debug replay startup.""" + + job_type: str = JOB_TYPE + source_camera: str = "" + replay_camera_name: str = "" + start_ts: float = 0.0 + end_ts: float = 0.0 + current_step: Optional[str] = None + progress_percent: float = 0.0 + + def to_dict(self) -> dict[str, Any]: + """Whitelisted payload for the job_state WS topic. + + Replay-specific fields land in results so the frontend's + generic Job type can be parameterised cleanly. + """ + return { + "id": self.id, + "job_type": self.job_type, + "status": self.status, + "start_time": self.start_time, + "end_time": self.end_time, + "error_message": self.error_message, + "results": { + "current_step": self.current_step, + "progress_percent": self.progress_percent, + "source_camera": self.source_camera, + "replay_camera_name": self.replay_camera_name, + "start_ts": self.start_ts, + "end_ts": self.end_ts, + }, + } + + +def query_recordings(source_camera: str, start_ts: float, end_ts: float) -> ModelSelect: + """Return the Recordings query for the time range. + + Module-level so tests can patch it without instantiating a runner. + """ + query = ( + Recordings.select( + Recordings.path, + Recordings.start_time, + Recordings.end_time, + ) + .where( + Recordings.start_time.between(start_ts, end_ts) + | Recordings.end_time.between(start_ts, end_ts) + | ((start_ts > Recordings.start_time) & (end_ts < Recordings.end_time)) + ) + .where(Recordings.camera == source_camera) + .order_by(Recordings.start_time.asc()) + ) + return cast(ModelSelect, query) + + +class DebugReplaySource(ABC): + """Abstract source for a debug replay session. + + Provides the camera identity and time range the replay represents, + validates that usable content exists, and supplies the ffmpeg input + args used to build the replay clip. + """ + + @property + @abstractmethod + def source_camera(self) -> str: + """Camera name the replay is derived from.""" + + @property + @abstractmethod + def start_ts(self) -> float: + """Unix timestamp marking the start of the replay range.""" + + @property + @abstractmethod + def end_ts(self) -> float: + """Unix timestamp marking the end of the replay range.""" + + @abstractmethod + def validate(self) -> None: + """Raise ValueError if the source has no usable content.""" + + @abstractmethod + def ffmpeg_input_args(self, working_dir: str) -> list[str]: + """Return ffmpeg input args (including -i). May write temp files in working_dir.""" + + def cleanup(self, working_dir: str) -> None: + """Remove any temp files the source created in working_dir. Default no-op.""" + + +class RecordingDebugReplaySource(DebugReplaySource): + """Replay source backed by the Recordings table. + + Feeds ffmpeg the internal VOD endpoint so segments with mismatched + SPS/PPS (e.g. across day/night transitions) stitch cleanly via HLS + discontinuities. + """ + + def __init__( + self, + source_camera: str, + start_ts: float, + end_ts: float, + internal_port: int, + ) -> None: + self._camera = source_camera + self._start_ts = start_ts + self._end_ts = end_ts + self._internal_port = internal_port + + @property + def source_camera(self) -> str: + return self._camera + + @property + def start_ts(self) -> float: + return self._start_ts + + @property + def end_ts(self) -> float: + return self._end_ts + + def validate(self) -> None: + if self._end_ts <= self._start_ts: + raise ValueError("End time must be after start time") + + if not query_recordings(self._camera, self._start_ts, self._end_ts).count(): + raise ValueError( + f"No recordings found for camera '{self._camera}' in the specified time range" + ) + + def ffmpeg_input_args(self, working_dir: str) -> list[str]: + playlist_url = ( + f"http://127.0.0.1:{self._internal_port}/vod/{self._camera}" + f"/start/{self._start_ts}/end/{self._end_ts}/index.m3u8" + ) + return [ + "-protocol_whitelist", + "pipe,file,http,tcp", + "-i", + playlist_url, + ] + + +class ExportDebugReplaySource(DebugReplaySource): + """Replay source backed by an existing Export. + + Uses the export's video file directly as the ffmpeg input — does not + require recordings to still exist for the time range. + """ + + def __init__(self, export: Export, duration: float) -> None: + self._camera = cast(str, export.camera) + # Export.date is declared DateTimeField but Frigate writes raw unix + # timestamps to the column. + self._start_ts = float(cast(Any, export.date)) + self._video_path = cast(str, export.video_path) + self._duration = duration + + @property + def source_camera(self) -> str: + return self._camera + + @property + def start_ts(self) -> float: + return self._start_ts + + @property + def end_ts(self) -> float: + return self._start_ts + self._duration + + def validate(self) -> None: + if not os.path.exists(self._video_path): + raise ValueError(f"Export video file not found: {self._video_path}") + + def ffmpeg_input_args(self, working_dir: str) -> list[str]: + return ["-i", self._video_path] + + +class DebugReplayJobRunner(threading.Thread): + """Worker thread that drives the startup job to completion. + + Owns the live ffmpeg Popen reference for cancellation. Cancellation + is two-step (threading.Event + proc.terminate()) so the runner + both knows it should stop and is unblocked from its blocking subprocess + wait. + """ + + def __init__( + self, + job: DebugReplayJob, + source: DebugReplaySource, + frigate_config: FrigateConfig, + config_publisher: CameraConfigUpdatePublisher, + replay_manager: "DebugReplayManager", + publisher: Optional[JobStatePublisher] = None, + ) -> None: + super().__init__(daemon=True, name=f"debug_replay_{job.id}") + self.job = job + self.source = source + self.frigate_config = frigate_config + self.config_publisher = config_publisher + self.replay_manager = replay_manager + self.publisher = publisher if publisher is not None else JobStatePublisher() + self._cancel_event = threading.Event() + self._active_process: sp.Popen | None = None + self._proc_lock = threading.Lock() + self._last_broadcast_monotonic: float = 0.0 + + def cancel(self) -> None: + """Request cancellation. Idempotent.""" + self._cancel_event.set() + with self._proc_lock: + proc = self._active_process + if proc is not None: + try: + proc.terminate() + except Exception as exc: + logger.warning("Failed to terminate ffmpeg subprocess: %s", exc) + + def is_cancelled(self) -> bool: + return self._cancel_event.is_set() + + def _record_proc(self, proc: sp.Popen) -> None: + with self._proc_lock: + self._active_process = proc + # Race: cancel arrived between Popen and _record_proc. + if self._cancel_event.is_set(): + try: + proc.terminate() + except Exception: + pass + + def _broadcast(self, force: bool = False) -> None: + now = time.monotonic() + if ( + not force + and now - self._last_broadcast_monotonic < PROGRESS_BROADCAST_MIN_INTERVAL + ): + return + self._last_broadcast_monotonic = now + + try: + self.publisher.publish(self.job.to_dict()) + except Exception as err: + logger.warning("Publisher raised during job state broadcast: %s", err) + + def run(self) -> None: + replay_name = self.job.replay_camera_name + os.makedirs(REPLAY_DIR, exist_ok=True) + clip_path = os.path.join(REPLAY_DIR, f"{replay_name}.mp4") + + self.job.status = JobStatusTypesEnum.running + self.job.start_time = time.time() + self.job.current_step = STEP_PREPARING_CLIP + self._broadcast(force=True) + + try: + input_args = self.source.ffmpeg_input_args(REPLAY_DIR) + + ffmpeg_cmd = [ + self.frigate_config.ffmpeg.ffmpeg_path, + "-hide_banner", + "-y", + *input_args, + "-c", + "copy", + "-movflags", + "+faststart", + clip_path, + ] + + logger.info( + "Generating replay clip for %s (%.1f - %.1f)", + self.job.source_camera, + self.job.start_ts, + self.job.end_ts, + ) + + def _on_progress(percent: float) -> None: + self.job.progress_percent = percent + self._broadcast() + + try: + returncode, stderr = run_ffmpeg_with_progress( + ffmpeg_cmd, + expected_duration_seconds=max( + 0.0, self.job.end_ts - self.job.start_ts + ), + on_progress=_on_progress, + process_started=self._record_proc, + use_low_priority=True, + ) + finally: + with self._proc_lock: + self._active_process = None + + if self._cancel_event.is_set(): + self._finalize_cancelled(clip_path) + return + + if returncode != 0: + raise RuntimeError(f"FFmpeg failed: {stderr[-500:]}") + + if not os.path.exists(clip_path): + raise RuntimeError("Clip file was not created") + + self.job.current_step = STEP_STARTING_CAMERA + self.job.progress_percent = 100.0 + self._broadcast(force=True) + + if self._cancel_event.is_set(): + self._finalize_cancelled(clip_path) + return + + self.replay_manager.publish_camera( + source_camera=self.job.source_camera, + replay_name=replay_name, + clip_path=clip_path, + frigate_config=self.frigate_config, + config_publisher=self.config_publisher, + ) + self.replay_manager.mark_session_ready(clip_path) + + self.job.status = JobStatusTypesEnum.success + self.job.end_time = time.time() + self._broadcast(force=True) + logger.info( + "Debug replay started: %s -> %s", + self.job.source_camera, + replay_name, + ) + except Exception as exc: + logger.exception("Debug replay startup failed") + self.job.status = JobStatusTypesEnum.failed + self.job.error_message = str(exc) + self.job.end_time = time.time() + self._broadcast(force=True) + self.replay_manager.clear_session() + _remove_silent(clip_path) + finally: + self.source.cleanup(REPLAY_DIR) + _set_active_runner(None) + + def _finalize_cancelled(self, clip_path: str) -> None: + logger.info("Debug replay startup cancelled") + self.job.status = JobStatusTypesEnum.cancelled + self.job.end_time = time.time() + self._broadcast(force=True) + # The caller of cancel_debug_replay_job (DebugReplayManager.stop) owns + # session cleanup — db rows, filesystem artifacts, clear_session. We + # only clean up the partial concat output we created. + _remove_silent(clip_path) + + +def _remove_silent(path: str) -> None: + try: + if os.path.exists(path): + os.remove(path) + except OSError: + pass + + +def start_debug_replay_job( + *, + source: DebugReplaySource, + frigate_config: FrigateConfig, + config_publisher: CameraConfigUpdatePublisher, + replay_manager: "DebugReplayManager", +) -> str: + """Validate, create job, start runner. Returns the job id. + + Raises ValueError for an invalid source (camera missing, source has + no usable content) and RuntimeError if a session is already active. + """ + if job_is_running(JOB_TYPE) or replay_manager.active: + raise RuntimeError("A replay session is already active") + + if source.source_camera not in frigate_config.cameras: + raise ValueError(f"Camera '{source.source_camera}' not found") + + source.validate() + + replay_name = f"{REPLAY_CAMERA_PREFIX}{source.source_camera}" + replay_manager.mark_starting( + source_camera=source.source_camera, + replay_camera_name=replay_name, + start_ts=source.start_ts, + end_ts=source.end_ts, + ) + + job = DebugReplayJob( + source_camera=source.source_camera, + replay_camera_name=replay_name, + start_ts=source.start_ts, + end_ts=source.end_ts, + ) + set_current_job(job) + + runner = DebugReplayJobRunner( + job=job, + source=source, + frigate_config=frigate_config, + config_publisher=config_publisher, + replay_manager=replay_manager, + ) + _set_active_runner(runner) + runner.start() + + return job.id + + +def cancel_debug_replay_job() -> bool: + """Signal the active runner to cancel. + + Returns True if a runner was signalled, False if no job was active. + """ + runner = get_active_runner() + if runner is None: + return False + runner.cancel() + return True + + +def wait_for_runner(timeout: float = 2.0) -> bool: + """Join the active runner. Returns True if the runner ended in time.""" + runner = get_active_runner() + if runner is None: + return True + runner.join(timeout=timeout) + return not runner.is_alive() diff --git a/frigate/jobs/vlm_watch.py b/frigate/jobs/vlm_watch.py index cd64325d0d..41ed830f14 100644 --- a/frigate/jobs/vlm_watch.py +++ b/frigate/jobs/vlm_watch.py @@ -45,6 +45,7 @@ class VLMWatchJob(Job): last_reasoning: str = "" notification_message: str = "" iteration_count: int = 0 + username: str = "" def to_dict(self) -> dict[str, Any]: return asdict(self) @@ -374,6 +375,7 @@ def start_vlm_watch_job( dispatcher: Any, labels: list[str] | None = None, zones: list[str] | None = None, + username: str = "", ) -> str: """Start a new VLM watch job. Returns the job ID. @@ -397,6 +399,7 @@ def start_vlm_watch_job( max_duration_minutes=max_duration_minutes, labels=labels or [], zones=zones or [], + username=username, ) cancel_ev = threading.Event() _current_job = job diff --git a/frigate/object_detection/base.py b/frigate/object_detection/base.py index a62fe48431..f2336f3da8 100644 --- a/frigate/object_detection/base.py +++ b/frigate/object_detection/base.py @@ -167,8 +167,9 @@ def run(self) -> None: # detect and send the output self.start_time.value = datetime.datetime.now().timestamp() + mono_start = time.monotonic() detections = object_detector.detect_raw(input_frame) - duration = datetime.datetime.now().timestamp() - self.start_time.value + duration = time.monotonic() - mono_start frame_manager.close(connection_id) if connection_id not in self.outputs: diff --git a/frigate/output/birdseye.py b/frigate/output/birdseye.py index 8b0fea6d7b..477e9a0db7 100644 --- a/frigate/output/birdseye.py +++ b/frigate/output/birdseye.py @@ -8,7 +8,6 @@ import queue import subprocess as sp import threading -import time import traceback from multiprocessing.synchronize import Event as MpEvent from typing import Any, Optional @@ -19,6 +18,7 @@ from frigate.comms.inter_process import InterProcessRequestor from frigate.config import BirdseyeModeEnum, FfmpegConfig, FrigateConfig from frigate.const import BASE_DIR, BIRDSEYE_PIPE, INSTALL_DIR, UPDATE_BIRDSEYE_LAYOUT +from frigate.output.ws_auth import ws_has_camera_access from frigate.util.image import ( SharedMemoryFrameManager, copy_yuv_to_position, @@ -62,8 +62,10 @@ def get_canvas_shape(width: int, height: int) -> tuple[int, int]: if round(a_w / a_h, 2) != round(width / height, 2): canvas_width = int(width // 4 * 4) canvas_height = int((canvas_width / a_w * a_h) // 4 * 4) - logger.warning( - f"The birdseye resolution is a non-standard aspect ratio, forcing birdseye resolution to {canvas_width} x {canvas_height}" + logger.error( + f"Birdseye resolution {width}x{height} is not a supported aspect ratio " + f"and may cause visual distortion; falling back to {canvas_width}x{canvas_height}. " + f"Set width and height to a supported aspect ratio (16:9, 20:10, 16:6, 32:9, 12:9, 22:15, 9:16, 9:12, 16:3, or 1:1)" ) return (canvas_width, canvas_height) @@ -236,12 +238,14 @@ def __init__( converter: FFMpegConverter, websocket_server: Any, stop_event: MpEvent, + config: FrigateConfig, ): super().__init__() self.camera = camera self.converter = converter self.websocket_server = websocket_server self.stop_event = stop_event + self.config = config def run(self) -> None: while not self.stop_event.is_set(): @@ -256,6 +260,7 @@ def run(self) -> None: if ( not ws.terminated and ws.environ["PATH_INFO"] == f"/{self.camera}" + and ws_has_camera_access(ws, self.camera, self.config) ): try: ws.send(buf, binary=True) @@ -793,20 +798,27 @@ def __init__( websocket_server: Any, ) -> None: self.config = config + canvas_width, canvas_height = get_canvas_shape( + config.birdseye.width, config.birdseye.height + ) self.input: queue.Queue[bytes] = queue.Queue(maxsize=10) self.converter = FFMpegConverter( config.ffmpeg, self.input, stop_event, - config.birdseye.width, - config.birdseye.height, - config.birdseye.width, - config.birdseye.height, + canvas_width, + canvas_height, + canvas_width, + canvas_height, config.birdseye.quality, config.birdseye.restream, ) self.broadcaster = BroadcastThread( - "birdseye", self.converter, websocket_server, stop_event + "birdseye", + self.converter, + websocket_server, + stop_event, + config, ) self.birdseye_manager = BirdsEyeFrameManager(self.config, stop_event) self.frame_manager = SharedMemoryFrameManager() @@ -874,7 +886,7 @@ def write_data( coordinates = self.birdseye_manager.get_camera_coordinates() self.requestor.send_data(UPDATE_BIRDSEYE_LAYOUT, coordinates) if self._idle_interval: - now = time.monotonic() + now = datetime.datetime.now().timestamp() is_idle = len(self.birdseye_manager.camera_layout) == 0 if ( is_idle diff --git a/frigate/output/camera.py b/frigate/output/camera.py index 917e38dd1d..88d16ed4b4 100644 --- a/frigate/output/camera.py +++ b/frigate/output/camera.py @@ -7,7 +7,8 @@ from multiprocessing.synchronize import Event as MpEvent from typing import Any -from frigate.config import CameraConfig, FfmpegConfig +from frigate.config import CameraConfig, FfmpegConfig, FrigateConfig +from frigate.output.ws_auth import ws_has_camera_access logger = logging.getLogger(__name__) @@ -102,12 +103,14 @@ def __init__( converter: FFMpegConverter, websocket_server: Any, stop_event: MpEvent, + config: FrigateConfig, ): super().__init__() self.camera = camera self.converter = converter self.websocket_server = websocket_server self.stop_event = stop_event + self.config = config def run(self) -> None: while not self.stop_event.is_set(): @@ -122,6 +125,7 @@ def run(self) -> None: if ( not ws.terminated and ws.environ["PATH_INFO"] == f"/{self.camera}" + and ws_has_camera_access(ws, self.camera, self.config) ): try: ws.send(buf, binary=True) @@ -135,7 +139,11 @@ def run(self) -> None: class JsmpegCamera: def __init__( - self, config: CameraConfig, stop_event: MpEvent, websocket_server: Any + self, + config: CameraConfig, + frigate_config: FrigateConfig, + stop_event: MpEvent, + websocket_server: Any, ) -> None: self.config = config self.input: queue.Queue[bytes] = queue.Queue(maxsize=config.detect.fps) @@ -154,7 +162,11 @@ def __init__( config.live.quality, ) self.broadcaster = BroadcastThread( - config.name or "", self.converter, websocket_server, stop_event + config.name or "", + self.converter, + websocket_server, + stop_event, + frigate_config, ) self.converter.start() diff --git a/frigate/output/output.py b/frigate/output/output.py index 22bcbb31ff..67dba5221f 100644 --- a/frigate/output/output.py +++ b/frigate/output/output.py @@ -32,6 +32,7 @@ from frigate.output.birdseye import Birdseye from frigate.output.camera import JsmpegCamera from frigate.output.preview import PreviewRecorder +from frigate.output.ws_auth import ws_has_camera_access from frigate.util.image import SharedMemoryFrameManager, get_blank_yuv_frame from frigate.util.process import FrigateProcess @@ -102,7 +103,7 @@ def add_camera( ) -> None: camera_config = self.config.cameras[camera] jsmpeg_cameras[camera] = JsmpegCamera( - camera_config, self.stop_event, websocket_server + camera_config, self.config, self.stop_event, websocket_server ) preview_recorders[camera] = PreviewRecorder(camera_config) preview_write_times[camera] = 0 @@ -262,6 +263,7 @@ def run(self) -> None: # send camera frame to ffmpeg process if websockets are connected if any( ws.environ["PATH_INFO"].endswith(camera) + and ws_has_camera_access(ws, camera, self.config) for ws in websocket_server.manager ): # write to the converter for the camera if clients are listening to the specific camera @@ -275,6 +277,7 @@ def run(self) -> None: self.config.birdseye.restream or any( ws.environ["PATH_INFO"].endswith("birdseye") + and ws_has_camera_access(ws, "birdseye", self.config) for ws in websocket_server.manager ) ) @@ -339,13 +342,30 @@ def move_preview_frames(loc: str) -> None: preview_holdover = os.path.join(CLIPS_DIR, "preview_restart_cache") preview_cache = os.path.join(CACHE_DIR, "preview_frames") + if loc == "clips": + src = preview_cache + dst = preview_holdover + elif loc == "cache": + src = preview_holdover + dst = preview_cache + else: + return + try: - if loc == "clips": - shutil.move(preview_cache, preview_holdover) - elif loc == "cache": - if not os.path.exists(preview_holdover): - return + if not os.path.exists(src): + return + + shutil.move(src, dst) - shutil.move(preview_holdover, preview_cache) + except PermissionError: + logger.error( + "Insufficient permissions while moving preview restart cache from %s to %s", + src, + dst, + ) except shutil.Error: - logger.error("Failed to restore preview cache.") + logger.error( + "Failed to move preview restart cache from %s to %s", + src, + dst, + ) diff --git a/frigate/output/preview.py b/frigate/output/preview.py index 389a3c2078..bf3c4bc7ef 100644 --- a/frigate/output/preview.py +++ b/frigate/output/preview.py @@ -361,14 +361,17 @@ def write_frame_to_cache(self, frame_time: float, frame: np.ndarray) -> None: small_frame, cv2.COLOR_YUV2BGR_I420, ) - cv2.imwrite( - get_cache_image_name(self.camera_name, frame_time), + cache_path = get_cache_image_name(self.camera_name, frame_time) + + if not cv2.imwrite( + cache_path, small_frame, [ int(cv2.IMWRITE_WEBP_QUALITY), PREVIEW_QUALITY_WEBP[self.config.record.preview.quality], ], - ) + ): + logger.error("Failed to write preview frame to %s", cache_path) def write_data( self, diff --git a/frigate/output/ws_auth.py b/frigate/output/ws_auth.py new file mode 100644 index 0000000000..33ec4e4980 --- /dev/null +++ b/frigate/output/ws_auth.py @@ -0,0 +1,43 @@ +"""Authorization helpers for JSMPEG websocket clients.""" + +from typing import Any + +from frigate.config import FrigateConfig +from frigate.models import User + + +def _get_valid_ws_roles(ws: Any, config: FrigateConfig) -> list[str]: + role_header = ws.environ.get("HTTP_REMOTE_ROLE", "") + roles = [ + role.strip() + for role in role_header.split(config.proxy.separator) + if role.strip() + ] + return [role for role in roles if role in config.auth.roles] + + +def ws_has_camera_access(ws: Any, camera_name: str, config: FrigateConfig) -> bool: + """Return True when a websocket client is authorized for the camera path.""" + roles = _get_valid_ws_roles(ws, config) + + if not roles: + return False + + roles_dict = config.auth.roles + + # Birdseye is a composite stream, so only users with unrestricted access + # should receive it. + if camera_name == "birdseye": + return any(role == "admin" or not roles_dict.get(role) for role in roles) + + all_camera_names = set(config.cameras.keys()) + + for role in roles: + if role == "admin" or not roles_dict.get(role): + return True + + allowed_cameras = User.get_allowed_cameras(role, roles_dict, all_camera_names) + if camera_name in allowed_cameras: + return True + + return False diff --git a/frigate/ptz/autotrack.py b/frigate/ptz/autotrack.py index 1a45f619c2..fb76f6718d 100644 --- a/frigate/ptz/autotrack.py +++ b/frigate/ptz/autotrack.py @@ -1331,6 +1331,8 @@ def autotracked_object_region(self, camera: str): return self.tracked_object[camera]["region"] def autotrack_object(self, camera: str, obj: TrackedObject): + if camera not in self.config.cameras: + return camera_config = self.config.cameras[camera] if camera_config.onvif.autotracking.enabled: diff --git a/frigate/record/cleanup.py b/frigate/record/cleanup.py index e41a5bf393..71097f1d95 100644 --- a/frigate/record/cleanup.py +++ b/frigate/record/cleanup.py @@ -351,9 +351,11 @@ def expire_recordings(self) -> set[Path]: ) .where( ReviewSegment.camera == camera, - # need to ensure segments for all reviews starting - # before the expire date are included - ReviewSegment.start_time < motion_expire_date, + # candidate recordings can extend up to continuous_expire_date + # (the no-motion no-audio branch of the recordings query), + # so reviews must cover that full range to avoid deleting + # segments that overlap recent alerts/detections. + ReviewSegment.start_time < continuous_expire_date, ) .order_by(ReviewSegment.start_time) .namedtuples() diff --git a/frigate/record/export.py b/frigate/record/export.py index 9d7a9eb0c9..9f571a5a5c 100644 --- a/frigate/record/export.py +++ b/frigate/record/export.py @@ -13,6 +13,7 @@ from pathlib import Path from typing import Callable, Optional +import pytz # type: ignore[import-untyped] from peewee import DoesNotExist from frigate.config import FfmpegConfig, FrigateConfig @@ -22,13 +23,13 @@ EXPORT_DIR, MAX_PLAYLIST_SECONDS, PREVIEW_FRAME_TYPE, - PROCESS_PRIORITY_LOW, ) from frigate.ffmpeg_presets import ( EncodeTypeEnum, parse_preset_hardware_acceleration_encode, ) -from frigate.models import Export, Previews, Recordings +from frigate.models import Export, Previews, Recordings, ReviewSegment +from frigate.util.ffmpeg import run_ffmpeg_with_progress from frigate.util.time import is_current_hour logger = logging.getLogger(__name__) @@ -242,110 +243,176 @@ def _sum_source_duration_seconds(self) -> Optional[float]: return total - def _inject_progress_flags(self, ffmpeg_cmd: list[str]) -> list[str]: - """Insert FFmpeg progress reporting flags before the output path. - - ``-progress pipe:2`` writes structured key=value lines to stderr, - ``-nostats`` suppresses the noisy default stats output. - """ - if not ffmpeg_cmd: - return ffmpeg_cmd - return ffmpeg_cmd[:-1] + ["-progress", "pipe:2", "-nostats", ffmpeg_cmd[-1]] - def _run_ffmpeg_with_progress( self, ffmpeg_cmd: list[str], playlist_lines: str | list[str], step: str = "encoding", ) -> tuple[int, str]: - """Run an FFmpeg export command, parsing progress events from stderr. + """Delegate to the shared helper, mapping percent → (step, percent). - Returns ``(returncode, captured_stderr)``. Stdout is left attached to - the parent process so we don't have to drain it (and risk a deadlock - if the buffer fills). Progress percent is computed against the - expected output duration; values are clamped to [0, 100] inside - :py:meth:`_emit_progress`. + Returns ``(returncode, captured_stderr)``. """ - cmd = ["nice", "-n", str(PROCESS_PRIORITY_LOW)] + self._inject_progress_flags( - ffmpeg_cmd - ) - if isinstance(playlist_lines, list): stdin_payload = "\n".join(playlist_lines) else: stdin_payload = playlist_lines - expected_duration = self._expected_output_duration_seconds() + return run_ffmpeg_with_progress( + ffmpeg_cmd, + expected_duration_seconds=self._expected_output_duration_seconds(), + on_progress=lambda percent: self._emit_progress(step, percent), + stdin_payload=stdin_payload, + use_low_priority=True, + ) - self._emit_progress(step, 0.0) + def get_datetime_from_timestamp(self, timestamp: int) -> str: + # return in iso format using the configured ui.timezone when set, + # so the auto-generated export name reflects local time rather + # than the container's UTC clock + tz_name = self.config.ui.timezone + if tz_name: + try: + tz = pytz.timezone(tz_name) + except pytz.UnknownTimeZoneError: + tz = None + if tz is not None: + return datetime.datetime.fromtimestamp(timestamp, tz=tz).strftime( + "%Y-%m-%d %H:%M:%S" + ) + return datetime.datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d %H:%M:%S") - proc = sp.Popen( - cmd, - stdin=sp.PIPE, - stderr=sp.PIPE, - text=True, - encoding="ascii", - errors="replace", - ) + def _chapter_metadata_path(self) -> str: + return os.path.join(CACHE_DIR, f"export_chapters_{self.export_id}.txt") - assert proc.stdin is not None - assert proc.stderr is not None + def _build_chapter_metadata_file(self, recordings: list) -> Optional[str]: + """Write an FFmpeg metadata file with chapters for review items in range. - try: - proc.stdin.write(stdin_payload) - except (BrokenPipeError, OSError): - # FFmpeg may have rejected the input early; still wait for it - # to terminate so the returncode is meaningful. - pass - finally: - try: - proc.stdin.close() - except (BrokenPipeError, OSError): - pass + Chapter offsets are computed in *output time*: the VOD endpoint + concatenates recording clips back-to-back, so wall-clock gaps + between recordings collapse in the produced video. We walk the + same recording rows that feed the playlist and convert each + review item's wall-clock boundaries into output-time offsets. + Returns ``None`` when there are no recordings, no review items, + or any chapter would have zero output duration. + """ + if not recordings: + return None - captured: list[str] = [] + windows: list[tuple[float, float, float]] = [] + output_offset = 0.0 + for rec in recordings: + clipped_start = max(float(rec.start_time), float(self.start_time)) + clipped_end = min(float(rec.end_time), float(self.end_time)) + if clipped_end <= clipped_start: + continue + windows.append((clipped_start, clipped_end, output_offset)) + output_offset += clipped_end - clipped_start + + if not windows: + return None try: - for raw_line in proc.stderr: - captured.append(raw_line) - line = raw_line.strip() + review_rows = list( + ReviewSegment.select( + ReviewSegment.start_time, + ReviewSegment.end_time, + ReviewSegment.severity, + ReviewSegment.data, + ) + .where( + ReviewSegment.start_time.between(self.start_time, self.end_time) + | ReviewSegment.end_time.between(self.start_time, self.end_time) + | ( + (self.start_time > ReviewSegment.start_time) + & (self.end_time < ReviewSegment.end_time) + ) + ) + .where(ReviewSegment.camera == self.camera) + .order_by(ReviewSegment.start_time.asc()) + .iterator() + ) + except Exception: + logger.exception( + "Failed to query review segments for export %s", self.export_id + ) + return None - if not line: - continue + if not review_rows: + return None - if line.startswith("out_time_us="): - if expected_duration <= 0: - continue - try: - out_time_us = int(line.split("=", 1)[1]) - except (ValueError, IndexError): - continue - if out_time_us < 0: - continue - out_seconds = out_time_us / 1_000_000.0 - percent = (out_seconds / expected_duration) * 100.0 - self._emit_progress(step, percent) - elif line == "progress=end": - self._emit_progress(step, 100.0) - break - except Exception: - logger.exception("Failed reading FFmpeg progress for %s", self.export_id) + total_output = windows[-1][2] + (windows[-1][1] - windows[-1][0]) + last_recorded_end = windows[-1][1] + + def wall_to_output(t: float) -> float: + t = max(float(self.start_time), min(float(self.end_time), t)) + for w_start, w_end, w_offset in windows: + if t < w_start: + return w_offset + if t <= w_end: + return w_offset + (t - w_start) + return total_output + + chapter_blocks: list[str] = [] + for review in review_rows: + if review.start_time is None: + continue + # In-progress segments have a NULL end_time until the activity + # closes; clamp to the last recorded second so the chapter never + # extends past the actual video. + review_end = ( + float(review.end_time) + if review.end_time is not None + else last_recorded_end + ) + start_out = wall_to_output(float(review.start_time)) + end_out = wall_to_output(review_end) + + # Drop chapters that fall entirely in a recording gap, or are + # too short to be navigable in a player. + if end_out - start_out < 1.0: + continue + + data = review.data or {} + labels: list[str] = [] + for obj in data.get("objects") or []: + label = str(obj).split("-")[0] + if label and label not in labels: + labels.append(label) + + metadata = data.get("metadata") or {} + title = metadata.get("title") + + if not title: + title = str(review.severity).capitalize() + + if labels: + title = f"{title}: {', '.join(labels)}" + + chapter_blocks.append( + "[CHAPTER]\n" + "TIMEBASE=1/1000\n" + f"START={int(start_out * 1000)}\n" + f"END={int(end_out * 1000)}\n" + f"title={title}" + ) - proc.wait() + if not chapter_blocks: + return None - # Drain any remaining stderr so callers can log it on failure. + meta_path = self._chapter_metadata_path() try: - remaining = proc.stderr.read() - if remaining: - captured.append(remaining) - except Exception: - pass + with open(meta_path, "w", encoding="utf-8") as f: + f.write(";FFMETADATA1\n") + f.write("\n".join(chapter_blocks)) + f.write("\n") + except OSError: + logger.exception( + "Failed to write chapter metadata file for export %s", self.export_id + ) + return None - return proc.returncode, "".join(captured) - - def get_datetime_from_timestamp(self, timestamp: int) -> str: - # return in iso format - return datetime.datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d %H:%M:%S") + return meta_path def save_thumbnail(self, id: str) -> str: thumb_path = os.path.join(CLIPS_DIR, f"export/{id}.webp") @@ -387,16 +454,14 @@ def save_thumbnail(self, id: str) -> str: except DoesNotExist: return "" - diff = self.start_time - preview.start_time - minutes = int(diff / 60) - seconds = int(diff % 60) + diff = max(0.0, float(self.start_time) - float(preview.start_time)) ffmpeg_cmd = [ "/usr/lib/ffmpeg/7.0/bin/ffmpeg", # hardcode path for exports thumbnail due to missing libwebp support "-hide_banner", "-loglevel", "warning", "-ss", - f"00:{minutes}:{seconds}", + f"{diff:.3f}", "-i", preview.path, "-frames", @@ -422,12 +487,18 @@ def save_thumbnail(self, id: str) -> str: start_file = f"{file_start}{self.start_time}.{PREVIEW_FRAME_TYPE}" end_file = f"{file_start}{self.end_time}.{PREVIEW_FRAME_TYPE}" selected_preview = None + # Preview frames are written at most 1-2 fps during activity + # and as little as one every 30s during quiet periods, so a + # short export window can contain zero frames. Track the most + # recent frame before the window as a fallback. + fallback_preview = None for file in sorted(os.listdir(preview_dir)): if not file.startswith(file_start): continue if file < start_file: + fallback_preview = os.path.join(preview_dir, file) continue if file > end_file: @@ -436,6 +507,9 @@ def save_thumbnail(self, id: str) -> str: selected_preview = os.path.join(preview_dir, file) break + if not selected_preview: + selected_preview = fallback_preview + if not selected_preview: return "" @@ -451,6 +525,24 @@ def get_record_export_command( if type(internal_port) is str: internal_port = int(internal_port.split(":")[-1]) + recordings = list( + Recordings.select( + Recordings.start_time, + Recordings.end_time, + ) + .where( + Recordings.start_time.between(self.start_time, self.end_time) + | Recordings.end_time.between(self.start_time, self.end_time) + | ( + (self.start_time > Recordings.start_time) + & (self.end_time < Recordings.end_time) + ) + ) + .where(Recordings.camera == self.camera) + .order_by(Recordings.start_time.asc()) + .iterator() + ) + playlist_lines: list[str] = [] if (self.end_time - self.start_time) <= MAX_PLAYLIST_SECONDS: playlist_url = f"http://127.0.0.1:{internal_port}/vod/{self.camera}/start/{self.start_time}/end/{self.end_time}/index.m3u8" @@ -458,32 +550,13 @@ def get_record_export_command( f"-y -protocol_whitelist pipe,file,http,tcp -i {playlist_url}" ) else: - # get full set of recordings - export_recordings = ( - Recordings.select( - Recordings.start_time, - Recordings.end_time, - ) - .where( - Recordings.start_time.between(self.start_time, self.end_time) - | Recordings.end_time.between(self.start_time, self.end_time) - | ( - (self.start_time > Recordings.start_time) - & (self.end_time < Recordings.end_time) - ) - ) - .where(Recordings.camera == self.camera) - .order_by(Recordings.start_time.asc()) - ) - - # Use pagination to process records in chunks + # Chunk the recording rows into pages so each playlist line + # references a bounded sub-range rather than the full export. page_size = 1000 - num_pages = (export_recordings.count() + page_size - 1) // page_size - - for page in range(1, num_pages + 1): - playlist = export_recordings.paginate(page, page_size) + for i in range(0, len(recordings), page_size): + chunk = recordings[i : i + page_size] playlist_lines.append( - f"file 'http://127.0.0.1:{internal_port}/vod/{self.camera}/start/{float(playlist[0].start_time)}/end/{float(playlist[-1].end_time)}/index.m3u8'" + f"file 'http://127.0.0.1:{internal_port}/vod/{self.camera}/start/{float(chunk[0].start_time)}/end/{float(chunk[-1].end_time)}/index.m3u8'" ) ffmpeg_input = "-y -protocol_whitelist pipe,file,http,tcp -f concat -safe 0 -i /dev/stdin" @@ -504,8 +577,12 @@ def get_record_export_command( ) ).split(" ") else: + chapters_path = self._build_chapter_metadata_file(recordings) + chapter_args = ( + f" -i {chapters_path} -map 0 -map_metadata 1" if chapters_path else "" + ) ffmpeg_cmd = ( - f"{self.config.ffmpeg.ffmpeg_path} -hide_banner {ffmpeg_input} -c copy -movflags +faststart" + f"{self.config.ffmpeg.ffmpeg_path} -hide_banner {ffmpeg_input}{chapter_args} -c copy -movflags +faststart" ).split(" ") # add metadata @@ -691,6 +768,8 @@ def run(self) -> None: ffmpeg_cmd, playlist_lines, step="encoding_retry" ) + Path(self._chapter_metadata_path()).unlink(missing_ok=True) + if returncode != 0: logger.error( f"Failed to export {self.playback_source.value} for command {' '.join(ffmpeg_cmd)}" diff --git a/frigate/record/maintainer.py b/frigate/record/maintainer.py index 6d25622f49..62d4ad8cb8 100644 --- a/frigate/record/maintainer.py +++ b/frigate/record/maintainer.py @@ -610,8 +610,7 @@ async def move_segment( camera, ) - if not os.path.exists(directory): - os.makedirs(directory) + os.makedirs(directory, exist_ok=True) # file will be in utc due to start_time being in utc file_name = f"{start_time.strftime('%M.%S.mp4')}" diff --git a/frigate/stats/intel_gpu_info.py b/frigate/stats/intel_gpu_info.py new file mode 100644 index 0000000000..5ca3066fbd --- /dev/null +++ b/frigate/stats/intel_gpu_info.py @@ -0,0 +1,109 @@ +"""Resolve human-readable names for Intel GPUs via OpenVINO.""" + +import logging +import re +from typing import Optional + +logger = logging.getLogger(__name__) + + +class IntelGpuNameResolver: + """Build a pdev -> normalized device name map by enumerating OpenVINO GPUs. + + The lookup is performed once on first access and cached for the process + lifetime. OpenVINO exposes DEVICE_PCI_INFO (domain/bus/device/function) and + FULL_DEVICE_NAME for each GPU it can see, which is enough to associate the + name with the pdev string used by DRM fdinfo. + """ + + _names: Optional[dict[str, str]] = None + + def get_names(self) -> dict[str, str]: + if self._names is not None: + return self._names + + names: dict[str, str] = {} + + try: + from openvino import Core + except ImportError: + logger.debug("OpenVINO unavailable; cannot resolve Intel GPU names") + self._names = names + return names + + try: + core = Core() + devices = core.available_devices + except Exception as exc: + logger.debug(f"OpenVINO Core initialization failed: {exc}") + self._names = names + return names + + cpu_name: Optional[str] = None + if "CPU" in devices: + try: + cpu_name = self._strip_trademarks( + core.get_property("CPU", "FULL_DEVICE_NAME") + ) + except Exception as exc: + logger.debug(f"Failed to read CPU FULL_DEVICE_NAME: {exc}") + + for device in devices: + if not device.startswith("GPU"): + continue + + try: + pci = core.get_property(device, "DEVICE_PCI_INFO") + raw_name = core.get_property(device, "FULL_DEVICE_NAME") + device_type = core.get_property(device, "DEVICE_TYPE") + except Exception as exc: + logger.debug(f"Failed to read properties for {device}: {exc}") + continue + + pdev = self._format_pdev(pci) + if not pdev: + continue + + names[pdev] = self._resolve_name(raw_name, device_type, cpu_name) + + self._names = names + return names + + @staticmethod + def _format_pdev(pci) -> Optional[str]: + try: + return f"{pci.domain:04x}:{pci.bus:02x}:{pci.device:02x}.{pci.function:x}" + except AttributeError: + return None + + @classmethod + def _resolve_name(cls, raw_name: str, device_type, cpu_name: Optional[str]) -> str: + """Build a display name for a GPU. + + Modern integrated Intel GPUs are reported by OpenVINO with a generic + FULL_DEVICE_NAME like "Intel(R) Graphics (iGPU)" that gives no model + information. Since the iGPU is part of the CPU on these platforms, fall + back to the CPU name (which OpenVINO does report specifically) and + suffix it with "iGPU" so it's clear what the entry is. + """ + is_integrated = "INTEGRATED" in str(device_type).upper() + + if is_integrated and cpu_name: + short_cpu = re.sub(r"^Intel\s+", "", cpu_name) + return f"{short_cpu} iGPU" + + return cls._normalize_name(raw_name) + + @classmethod + def _normalize_name(cls, name: str) -> str: + cleaned = cls._strip_trademarks(name) + cleaned = re.sub(r"\s*\((?:i|d)GPU\)\s*$", "", cleaned, flags=re.IGNORECASE) + return " ".join(cleaned.split()) + + @staticmethod + def _strip_trademarks(name: str) -> str: + cleaned = re.sub(r"\(R\)|\(TM\)", "", name) + return " ".join(cleaned.split()) + + +intel_gpu_name_resolver = IntelGpuNameResolver() diff --git a/frigate/stats/util.py b/frigate/stats/util.py index 07b410ad21..a0141d1305 100644 --- a/frigate/stats/util.py +++ b/frigate/stats/util.py @@ -230,6 +230,7 @@ async def set_gpu_stats( hwaccel_args.append(args) stats: dict[str, dict] = {} + intel_gpu_collected = False for args in hwaccel_args: if args in hwaccel_errors: @@ -242,6 +243,7 @@ async def set_gpu_stats( if nvidia_usage: for i in range(len(nvidia_usage)): stats[nvidia_usage[i]["name"]] = { + "vendor": "nvidia", "gpu": str(round(float(nvidia_usage[i]["gpu"]), 2)) + "%", "mem": str(round(float(nvidia_usage[i]["mem"]), 2)) + "%", "enc": str(round(float(nvidia_usage[i]["enc"]), 2)) + "%", @@ -250,31 +252,34 @@ async def set_gpu_stats( } else: - stats["nvidia-gpu"] = {"gpu": "", "mem": ""} + stats["nvidia-gpu"] = {"vendor": "nvidia", "gpu": "", "mem": ""} hwaccel_errors.append(args) elif "nvmpi" in args or "jetson" in args: # nvidia Jetson jetson_usage = get_jetson_stats() if jetson_usage: - stats["jetson-gpu"] = jetson_usage + stats["jetson-gpu"] = {"vendor": "nvidia", **jetson_usage} else: - stats["jetson-gpu"] = {"gpu": "", "mem": ""} + stats["jetson-gpu"] = {"vendor": "nvidia", "gpu": "", "mem": ""} hwaccel_errors.append(args) elif "qsv" in args or ("vaapi" in args and not is_vaapi_amd_driver()): if not config.telemetry.stats.intel_gpu_stats: continue - if "intel-gpu" not in stats: + if not intel_gpu_collected: # intel GPU (QSV or VAAPI both use the same physical GPU) + intel_gpu_collected = True intel_usage = get_intel_gpu_stats( config.telemetry.stats.intel_gpu_device ) - if intel_usage is not None: - stats["intel-gpu"] = intel_usage or {"gpu": "", "mem": ""} + if intel_usage: + for entry in intel_usage.values(): + name = entry.pop("name") + stats[name] = entry else: - stats["intel-gpu"] = {"gpu": "", "mem": ""} + stats["intel-gpu"] = {"vendor": "intel", "gpu": "", "mem": ""} hwaccel_errors.append(args) elif "vaapi" in args: if not config.telemetry.stats.amd_gpu_stats: @@ -284,18 +289,18 @@ async def set_gpu_stats( amd_usage = get_amd_gpu_stats() if amd_usage: - stats["amd-vaapi"] = amd_usage + stats["amd-vaapi"] = {"vendor": "amd", **amd_usage} else: - stats["amd-vaapi"] = {"gpu": "", "mem": ""} + stats["amd-vaapi"] = {"vendor": "amd", "gpu": "", "mem": ""} hwaccel_errors.append(args) elif "preset-rk" in args: rga_usage = get_rockchip_gpu_stats() if rga_usage: - stats["rockchip"] = rga_usage + stats["rockchip"] = {"vendor": "rockchip", **rga_usage} elif "v4l2m2m" in args or "rpi" in args: # RPi v4l2m2m is currently not able to get usage stats - stats["rpi-v4l2m2m"] = {"gpu": "", "mem": ""} + stats["rpi-v4l2m2m"] = {"vendor": "rpi", "gpu": "", "mem": ""} if stats: all_stats["gpu_usages"] = stats diff --git a/frigate/test/http_api/test_debug_replay_api.py b/frigate/test/http_api/test_debug_replay_api.py new file mode 100644 index 0000000000..be4e7f496f --- /dev/null +++ b/frigate/test/http_api/test_debug_replay_api.py @@ -0,0 +1,124 @@ +"""Tests for /debug_replay API endpoints.""" + +from unittest.mock import patch + +from frigate.models import Event, Recordings, ReviewSegment +from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp + + +class TestDebugReplayAPI(BaseTestHttp): + def setUp(self): + super().setUp([Event, Recordings, ReviewSegment]) + self.app = self.create_app() + + def test_start_returns_202_with_job_id(self): + # Stub the factory to skip validation/threading and just record the + # name on the manager the way the real factory's mark_starting would. + def fake_start(**kwargs): + source = kwargs["source"] + kwargs["replay_manager"].mark_starting( + source_camera=source.source_camera, + replay_camera_name="_replay_front", + start_ts=source.start_ts, + end_ts=source.end_ts, + ) + return "job-1234" + + with patch( + "frigate.api.debug_replay.start_debug_replay_job", + side_effect=fake_start, + ): + with AuthTestClient(self.app) as client: + resp = client.post( + "/debug_replay/start", + json={ + "camera": "front", + "start_time": 100, + "end_time": 200, + }, + ) + + self.assertEqual(resp.status_code, 202) + body = resp.json() + self.assertTrue(body["success"]) + self.assertEqual(body["job_id"], "job-1234") + self.assertEqual(body["replay_camera"], "_replay_front") + + def test_start_returns_400_on_validation_error(self): + with patch( + "frigate.api.debug_replay.start_debug_replay_job", + side_effect=ValueError("Camera 'missing' not found"), + ): + with AuthTestClient(self.app) as client: + resp = client.post( + "/debug_replay/start", + json={ + "camera": "missing", + "start_time": 100, + "end_time": 200, + }, + ) + + self.assertEqual(resp.status_code, 400) + body = resp.json() + self.assertFalse(body["success"]) + # Message is hard-coded so we don't echo exception text back to clients + # (CodeQL: information exposure through an exception). + self.assertEqual(body["message"], "Invalid debug replay parameters") + + def test_start_returns_409_when_session_already_active(self): + with patch( + "frigate.api.debug_replay.start_debug_replay_job", + side_effect=RuntimeError("A replay session is already active"), + ): + with AuthTestClient(self.app) as client: + resp = client.post( + "/debug_replay/start", + json={ + "camera": "front", + "start_time": 100, + "end_time": 200, + }, + ) + + self.assertEqual(resp.status_code, 409) + body = resp.json() + self.assertFalse(body["success"]) + + def test_status_inactive_when_no_session(self): + with AuthTestClient(self.app) as client: + resp = client.get("/debug_replay/status") + + self.assertEqual(resp.status_code, 200) + body = resp.json() + self.assertFalse(body["active"]) + self.assertIsNone(body["replay_camera"]) + self.assertIsNone(body["source_camera"]) + self.assertIsNone(body["start_time"]) + self.assertIsNone(body["end_time"]) + self.assertFalse(body["live_ready"]) + # Make sure deprecated fields are gone + self.assertNotIn("state", body) + self.assertNotIn("progress_percent", body) + self.assertNotIn("error_message", body) + + def test_status_active_after_mark_starting(self): + manager = self.app.replay_manager + manager.mark_starting( + source_camera="front", + replay_camera_name="_replay_front", + start_ts=100.0, + end_ts=200.0, + ) + + with AuthTestClient(self.app) as client: + resp = client.get("/debug_replay/status") + + self.assertEqual(resp.status_code, 200) + body = resp.json() + self.assertTrue(body["active"]) + self.assertEqual(body["replay_camera"], "_replay_front") + self.assertEqual(body["source_camera"], "front") + self.assertEqual(body["start_time"], 100.0) + self.assertEqual(body["end_time"], 200.0) + self.assertFalse(body["live_ready"]) diff --git a/frigate/test/http_api/test_http_app.py b/frigate/test/http_api/test_http_app.py index bf8e9c72a9..4c581dd426 100644 --- a/frigate/test/http_api/test_http_app.py +++ b/frigate/test/http_api/test_http_app.py @@ -1,5 +1,9 @@ -from unittest.mock import Mock +from unittest.mock import Mock, patch +import frigate.genai +from frigate.config import GenAIProviderEnum +from frigate.const import REDACTED_CREDENTIAL_SENTINEL +from frigate.genai import GenAIClient from frigate.models import Event, Recordings, ReviewSegment from frigate.stats.emitter import StatsEmitter from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp @@ -23,6 +27,26 @@ def test_stats_endpoint(self): response_json = response.json() assert response_json == self.test_stats + def test_recordings_storage_requires_admin(self): + stats = Mock(spec=StatsEmitter) + stats.get_latest_stats.return_value = self.test_stats + app = super().create_app(stats) + app.storage_maintainer = Mock() + app.storage_maintainer.calculate_camera_usages.return_value = { + "front_door": {"usage": 2.0}, + } + + with AuthTestClient(app) as client: + response = client.get( + "/recordings/storage", + headers={"remote-user": "viewer", "remote-role": "viewer"}, + ) + assert response.status_code == 403 + + response = client.get("/recordings/storage") + assert response.status_code == 200 + assert response.json()["front_door"]["usage_percent"] == 25.0 + def test_config_set_in_memory_replaces_objects_track_list(self): self.minimal_config["cameras"]["front_door"]["objects"] = { "track": ["person", "car"], @@ -51,3 +75,108 @@ def test_config_set_in_memory_replaces_objects_track_list(self): assert response.status_code == 200 assert app.frigate_config.cameras["front_door"].objects.track == ["person"] + + #################################################################################################################### + ################################### Credential redaction sentinel ################################################ + #################################################################################################################### + def test_config_response_redacts_mqtt_password_with_sentinel(self): + self.minimal_config["mqtt"]["user"] = "mqttuser" + self.minimal_config["mqtt"]["password"] = "supersecret" + app = super().create_app() + + with AuthTestClient(app) as client: + response = client.get("/config") + assert response.status_code == 200 + mqtt = response.json()["mqtt"] + assert mqtt["password"] == REDACTED_CREDENTIAL_SENTINEL + + #################################################################################################################### + ################################### POST /genai/probe Endpoint ################################################## + #################################################################################################################### + def test_genai_probe_requires_admin(self): + app = super().create_app() + + with AuthTestClient(app) as client: + response = client.post( + "/genai/probe", + json={"provider": "openai"}, + headers={"remote-user": "viewer", "remote-role": "viewer"}, + ) + assert response.status_code == 403 + + def test_genai_probe_returns_models_from_transient_client(self): + class FakeClient(GenAIClient): + def list_models(self): + return ["fake-model-a", "fake-model-b"] + + app = super().create_app() + + with ( + AuthTestClient(app) as client, + patch.dict( + frigate.genai.PROVIDERS, + {GenAIProviderEnum.openai: FakeClient}, + ), + ): + response = client.post( + "/genai/probe", + json={ + "provider": "openai", + "api_key": "sk-test", + "base_url": "https://example.invalid", + }, + ) + assert response.status_code == 200 + assert response.json() == { + "success": True, + "models": ["fake-model-a", "fake-model-b"], + } + + def test_genai_probe_empty_list_is_treated_as_failure(self): + # The plugin's list_models() returns [] on connection failure rather + # than raising. The endpoint should surface that as success=false so + # the UI can show a meaningful error. + class EmptyClient(GenAIClient): + def list_models(self): + return [] + + app = super().create_app() + + with ( + AuthTestClient(app) as client, + patch.dict( + frigate.genai.PROVIDERS, + {GenAIProviderEnum.openai: EmptyClient}, + ), + ): + response = client.post( + "/genai/probe", + json={"provider": "openai"}, + ) + assert response.status_code == 200 + payload = response.json() + assert payload["success"] is False + assert "message" in payload + + def test_genai_probe_handles_provider_failure(self): + class FailingClient(GenAIClient): + def list_models(self): + raise RuntimeError("provider unreachable") + + app = super().create_app() + + with ( + AuthTestClient(app) as client, + patch.dict( + frigate.genai.PROVIDERS, + {GenAIProviderEnum.openai: FailingClient}, + ), + ): + response = client.post( + "/genai/probe", + json={"provider": "openai"}, + ) + assert response.status_code == 200 + payload = response.json() + assert payload["success"] is False + assert "message" in payload diff --git a/frigate/test/http_api/test_http_camera_access.py b/frigate/test/http_api/test_http_camera_access.py index 211c84bb4f..44520d79f5 100644 --- a/frigate/test/http_api/test_http_camera_access.py +++ b/frigate/test/http_api/test_http_camera_access.py @@ -1,3 +1,4 @@ +import os from unittest.mock import patch from fastapi import HTTPException, Request @@ -357,6 +358,51 @@ def test_stream_alias_allowed_for_owning_camera(self): f"got {resp.status_code}" ) + def test_add_stream_rejects_restricted_source(self): + """PUT /go2rtc/streams must reject exec:/echo:/expr: sources even for + admins""" + app = self._make_app(_MULTI_CAMERA_CONFIG) + with AuthTestClient(app) as client: + for src in ( + "exec:/tmp/rev.sh", + "echo:foo", + "expr:bar", + " exec:/tmp/rev.sh", + ): + resp = client.put(f"/go2rtc/streams/revshell?src={src}") + assert resp.status_code == 400, ( + f"Expected 400 for restricted src {src!r}; got {resp.status_code}" + ) + assert resp.json().get("success") is False + + def test_add_stream_allows_non_restricted_source(self): + """A normal stream URL should pass the restricted-source check and reach + the (unavailable in tests) go2rtc proxy — so we expect 500, not 400.""" + app = self._make_app(_MULTI_CAMERA_CONFIG) + with AuthTestClient(app) as client: + resp = client.put("/go2rtc/streams/legit?src=rtsp://10.0.0.1:554/video") + assert resp.status_code != 400, ( + f"Non-restricted source should not be rejected with 400; got {resp.status_code}" + ) + + def test_add_stream_allows_restricted_source_when_override_set(self): + """When GO2RTC_ALLOW_ARBITRARY_EXEC is set, the API must defer to operator + intent and forward the request to go2rtc instead of short-circuiting with 400.""" + app = self._make_app(_MULTI_CAMERA_CONFIG) + mock_response = type("R", (), {"ok": True, "status_code": 200, "text": "ok"})() + with patch.dict(os.environ, {"GO2RTC_ALLOW_ARBITRARY_EXEC": "true"}): + with patch( + "frigate.api.camera.requests.put", return_value=mock_response + ) as mock_put: + with AuthTestClient(app) as client: + resp = client.put("/go2rtc/streams/legit?src=exec:/tmp/something") + assert resp.status_code == 200, ( + f"Restricted src should be forwarded when override set; got {resp.status_code}" + ) + mock_put.assert_called_once() + forwarded_src = mock_put.call_args.kwargs["params"]["src"] + assert forwarded_src == "exec:/tmp/something" + def test_stream_alias_blocked_when_owning_camera_disallowed(self): """limited_user cannot access a stream alias that belongs to a camera they are not allowed to see.""" diff --git a/frigate/test/http_api/test_http_event.py b/frigate/test/http_api/test_http_event.py index bc7f388e15..8aca6577d9 100644 --- a/frigate/test/http_api/test_http_event.py +++ b/frigate/test/http_api/test_http_event.py @@ -219,6 +219,25 @@ def test_events_search_match_multilingual_attribute(self): assert len(events) == 1 assert events[0]["id"] == event_id + def test_similarity_search_hides_unauthorized_anchor_event(self): + mock_embeddings = Mock() + self.app.frigate_config.semantic_search.enabled = True + self.app.embeddings = mock_embeddings + + with AuthTestClient(self.app) as client: + super().insert_mock_event("hidden.anchor", camera="back_door") + response = client.get( + "/events/search", + params={ + "search_type": "similarity", + "event_id": "hidden.anchor", + }, + ) + + assert response.status_code == 404 + assert response.json()["message"] == "Event not found" + mock_embeddings.search_thumbnail.assert_not_called() + def test_get_good_event(self): id = "123456.random" diff --git a/frigate/test/test_camera_maintainer.py b/frigate/test/test_camera_maintainer.py new file mode 100644 index 0000000000..c03d965784 --- /dev/null +++ b/frigate/test/test_camera_maintainer.py @@ -0,0 +1,79 @@ +"""Tests for CameraMaintainer SHM cleanup on camera remove. + +Regression coverage for the case where a camera is removed and then a +new camera is added with the same name. Without unlinking the per-frame +YUV SHM slots, the maintainer's frame_manager.create call hits +FileExistsError and falls back to reopening the existing segment at the +*old* size, which the new ffmpeg process then writes mismatched-size +frames into. +""" + +import unittest +from unittest.mock import MagicMock, patch + +from frigate.camera.maintainer import CameraMaintainer + + +class TestMaintainerUnlinkFrameSlotsOnRemove(unittest.TestCase): + def _make_maintainer(self) -> CameraMaintainer: + """Build a maintainer without invoking __init__ (avoids needing real + FrigateConfig, queues, multiprocessing manager, etc.). We're only + exercising the SHM-cleanup helper, so the surrounding init is + irrelevant.""" + maintainer = CameraMaintainer.__new__(CameraMaintainer) + maintainer.frame_manager = MagicMock() + return maintainer + + def test_unlinks_only_segments_with_matching_prefix(self) -> None: + maintainer = self._make_maintainer() + maintainer.frame_manager.shm_store = { + "front_frame0": object(), + "front_frame1": object(), + "front_frame2": object(), + # Different camera; must not be touched. + "side_frame0": object(), + # Detector input/output buffers are sized by the model and + # cached by the long-lived DetectorRunner — must not be + # touched even when their owning camera is removed. + "front": object(), + "out-front": object(), + } + + # __name-mangled access from outside the class. + maintainer._CameraMaintainer__unlink_camera_frame_slots("front") + + deleted = [c.args[0] for c in maintainer.frame_manager.delete.call_args_list] + self.assertEqual( + sorted(deleted), + ["front_frame0", "front_frame1", "front_frame2"], + ) + + def test_handles_camera_with_no_slots(self) -> None: + """Cameras that were removed before any frame slot was ever + created (e.g. cancelled during preparing_clip) should be a no-op.""" + maintainer = self._make_maintainer() + maintainer.frame_manager.shm_store = {"other_frame0": object()} + + maintainer._CameraMaintainer__unlink_camera_frame_slots("front") + + maintainer.frame_manager.delete.assert_not_called() + + def test_swallows_delete_errors(self) -> None: + """Unlink failures shouldn't abort the remove loop — best-effort.""" + maintainer = self._make_maintainer() + maintainer.frame_manager.shm_store = { + "front_frame0": object(), + "front_frame1": object(), + } + maintainer.frame_manager.delete.side_effect = OSError("simulated") + + # Both slots are attempted; the OSError on the first doesn't + # prevent the second from being tried. + with patch("frigate.camera.maintainer.logger"): + maintainer._CameraMaintainer__unlink_camera_frame_slots("front") + + self.assertEqual(maintainer.frame_manager.delete.call_count, 2) + + +if __name__ == "__main__": + unittest.main() diff --git a/frigate/test/test_chat_find_similar_objects.py b/frigate/test/test_chat_find_similar_objects.py index 38055658e1..73fd3b27db 100644 --- a/frigate/test/test_chat_find_similar_objects.py +++ b/frigate/test/test_chat_find_similar_objects.py @@ -145,9 +145,12 @@ def _make_request(self, semantic_enabled=True, embeddings=None): embeddings=embeddings, frigate_config=SimpleNamespace( semantic_search=SimpleNamespace(enabled=semantic_enabled), + cameras={"driveway": object()}, + auth=SimpleNamespace(roles={"admin": [], "viewer": ["driveway"]}), + proxy=SimpleNamespace(separator=","), ), ) - return SimpleNamespace(app=app) + return SimpleNamespace(app=app, headers={}) def test_semantic_search_disabled_returns_error(self): req = self._make_request(semantic_enabled=False) @@ -180,7 +183,7 @@ def test_empty_candidates_returns_empty_results(self): _execute_find_similar_objects( req, {"event_id": "anchor", "cameras": ["nonexistent_cam"]}, - allowed_cameras=["nonexistent_cam"], + allowed_cameras=["driveway"], ) ) self.assertEqual(result["results"], []) diff --git a/frigate/test/test_config.py b/frigate/test/test_config.py index e82b688c62..6490a65099 100644 --- a/frigate/test/test_config.py +++ b/frigate/test/test_config.py @@ -10,7 +10,7 @@ from frigate.config import BirdseyeModeEnum, FrigateConfig from frigate.const import MODEL_CACHE_DIR from frigate.detectors import DetectorTypeEnum -from frigate.util.builtin import deep_merge, load_labels +from frigate.util.builtin import deep_merge class TestConfig(unittest.TestCase): @@ -309,16 +309,11 @@ def test_default_audio_filters(self): } frigate_config = FrigateConfig(**config) - all_audio_labels = { - label - for label in load_labels("/audio-labelmap.txt", prefill=521).values() - if label + assert set(frigate_config.cameras["back"].audio.filters.keys()) == { + "speech", + "yell", } - assert all_audio_labels.issubset( - set(frigate_config.cameras["back"].audio.filters.keys()) - ) - def test_override_audio_filters(self): config = { "mqtt": {"host": "mqtt"}, @@ -345,7 +340,8 @@ def test_override_audio_filters(self): frigate_config = FrigateConfig(**config) assert "speech" in frigate_config.cameras["back"].audio.filters assert frigate_config.cameras["back"].audio.filters["speech"].threshold == 0.9 - assert "babbling" in frigate_config.cameras["back"].audio.filters + assert "yell" in frigate_config.cameras["back"].audio.filters + assert "babbling" not in frigate_config.cameras["back"].audio.filters def test_inherit_object_filters(self): config = { @@ -1005,6 +1001,7 @@ def test_plus_labelmap(self): config = { "mqtt": {"host": "mqtt"}, + "detectors": {"cpu": {"type": "cpu"}}, "model": {"path": "plus://test"}, "cameras": { "back": { @@ -1676,5 +1673,60 @@ def test_fails_invalid_movement_weights(self): self.assertRaises(ValueError, lambda: FrigateConfig(**config)) +class TestAttributeFilterDefaults(unittest.TestCase): + """Verify attribute filter min_score handling at config load.""" + + def setUp(self): + self.minimal = { + "mqtt": {"host": "mqtt"}, + "cameras": { + "back": { + "ffmpeg": { + "inputs": [ + {"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]} + ] + }, + "detect": { + "height": 1080, + "width": 1920, + "fps": 5, + }, + } + }, + } + + def _build_config(self, object_filters: dict | None = None) -> FrigateConfig: + config = deep_merge({}, self.minimal) + if object_filters is not None: + config.setdefault("objects", {})["filters"] = object_filters + return FrigateConfig(**config) + + def test_attribute_with_no_filter_gets_default_min_score(self): + """Attribute with no user-provided filter gets created with min_score=0.7.""" + config = self._build_config() + face_filter = config.objects.filters.get("face") + self.assertIsNotNone(face_filter) + self.assertEqual(face_filter.min_score, 0.7) + + def test_attribute_filter_without_min_score_gets_bumped(self): + """If user sets some FilterConfig field but not min_score, min_score is bumped to 0.7.""" + config = self._build_config({"face": {"min_area": 500}}) + face_filter = config.objects.filters["face"] + self.assertEqual(face_filter.min_area, 500) + self.assertEqual(face_filter.min_score, 0.7) + + def test_attribute_filter_explicit_min_score_half_is_preserved(self): + """User-provided min_score=0.5 must NOT be silently rewritten to 0.7.""" + config = self._build_config({"face": {"min_score": 0.5}}) + face_filter = config.objects.filters["face"] + self.assertEqual(face_filter.min_score, 0.5) + + def test_attribute_filter_explicit_min_score_other_value_is_preserved(self): + """Sanity: explicit non-0.5 values pass through unchanged.""" + config = self._build_config({"face": {"min_score": 0.3}}) + face_filter = config.objects.filters["face"] + self.assertEqual(face_filter.min_score, 0.3) + + if __name__ == "__main__": unittest.main(verbosity=2) diff --git a/frigate/test/test_debug_replay.py b/frigate/test/test_debug_replay.py new file mode 100644 index 0000000000..a91f759c44 --- /dev/null +++ b/frigate/test/test_debug_replay.py @@ -0,0 +1,250 @@ +"""Tests for the simplified DebugReplayManager. + +Startup orchestration lives in ``frigate.jobs.debug_replay`` (covered by +``test_debug_replay_job``). The manager owns only session presence and +cleanup. +""" + +import unittest +import unittest.mock +from unittest.mock import MagicMock, patch + + +class TestDebugReplayManagerSession(unittest.TestCase): + def test_inactive_by_default(self) -> None: + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + + self.assertFalse(manager.active) + self.assertIsNone(manager.replay_camera_name) + self.assertIsNone(manager.source_camera) + self.assertIsNone(manager.clip_path) + self.assertIsNone(manager.start_ts) + self.assertIsNone(manager.end_ts) + + def test_mark_starting_sets_session_pointers_and_active(self) -> None: + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + + manager.mark_starting( + source_camera="front", + replay_camera_name="_replay_front", + start_ts=100.0, + end_ts=200.0, + ) + + self.assertTrue(manager.active) + self.assertEqual(manager.replay_camera_name, "_replay_front") + self.assertEqual(manager.source_camera, "front") + self.assertEqual(manager.start_ts, 100.0) + self.assertEqual(manager.end_ts, 200.0) + self.assertIsNone(manager.clip_path) + + def test_mark_session_ready_sets_clip_path(self) -> None: + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + manager.mark_starting("front", "_replay_front", 100.0, 200.0) + + manager.mark_session_ready(clip_path="/tmp/replay/_replay_front.mp4") + + self.assertEqual(manager.clip_path, "/tmp/replay/_replay_front.mp4") + self.assertTrue(manager.active) + + def test_clear_session_resets_all_pointers(self) -> None: + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + manager.mark_starting("front", "_replay_front", 100.0, 200.0) + manager.mark_session_ready("/tmp/replay/clip.mp4") + + manager.clear_session() + + self.assertFalse(manager.active) + self.assertIsNone(manager.replay_camera_name) + self.assertIsNone(manager.source_camera) + self.assertIsNone(manager.clip_path) + self.assertIsNone(manager.start_ts) + self.assertIsNone(manager.end_ts) + + +class TestDebugReplayManagerStop(unittest.TestCase): + def setUp(self) -> None: + # stop() publishes a terminal job_state via a real JobStatePublisher, + # which opens a ZMQ REQ socket and blocks on REP. No dispatcher runs + # in unit tests, so substitute a no-op publisher. + patcher = patch("frigate.debug_replay.JobStatePublisher") + patcher.start() + self.addCleanup(patcher.stop) + + def test_stop_when_inactive_is_a_noop(self) -> None: + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + frigate_config = MagicMock() + frigate_config.cameras = {} + publisher = MagicMock() + + # Should not raise; should not publish any events. + manager.stop(frigate_config=frigate_config, config_publisher=publisher) + + publisher.publish_update.assert_not_called() + + def test_stop_publishes_remove_when_camera_was_published(self) -> None: + from frigate.config.camera.updater import CameraConfigUpdateEnum + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + manager.mark_starting("front", "_replay_front", 100.0, 200.0) + manager.mark_session_ready("/tmp/replay/_replay_front.mp4") + + camera_config = MagicMock() + frigate_config = MagicMock() + frigate_config.cameras = {"_replay_front": camera_config} + publisher = MagicMock() + + with ( + patch.object(manager, "_cleanup_db"), + patch.object(manager, "_cleanup_files"), + patch("frigate.debug_replay.cancel_debug_replay_job", return_value=False), + ): + manager.stop(frigate_config=frigate_config, config_publisher=publisher) + + # One publish_update call with a remove topic. + self.assertEqual(publisher.publish_update.call_count, 1) + topic_arg = publisher.publish_update.call_args.args[0] + self.assertEqual(topic_arg.update_type, CameraConfigUpdateEnum.remove) + self.assertFalse(manager.active) + + def test_stop_skips_remove_publish_when_camera_not_in_config(self) -> None: + """Cancellation during preparing_clip: no camera was published yet.""" + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + manager.mark_starting("front", "_replay_front", 100.0, 200.0) + # clip_path stays None because we cancelled before camera publish. + + frigate_config = MagicMock() + frigate_config.cameras = {} # _replay_front not present + publisher = MagicMock() + + with ( + patch.object(manager, "_cleanup_db"), + patch.object(manager, "_cleanup_files"), + patch("frigate.debug_replay.cancel_debug_replay_job", return_value=True), + ): + manager.stop(frigate_config=frigate_config, config_publisher=publisher) + + publisher.publish_update.assert_not_called() + self.assertFalse(manager.active) + + def test_stop_calls_cancel_debug_replay_job(self) -> None: + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + manager.mark_starting("front", "_replay_front", 100.0, 200.0) + + frigate_config = MagicMock() + frigate_config.cameras = {} + publisher = MagicMock() + + with ( + patch.object(manager, "_cleanup_db"), + patch.object(manager, "_cleanup_files"), + patch( + "frigate.debug_replay.cancel_debug_replay_job", + return_value=True, + ) as mock_cancel, + ): + manager.stop(frigate_config=frigate_config, config_publisher=publisher) + + mock_cancel.assert_called_once() + + +class TestDebugReplayManagerPublishCamera(unittest.TestCase): + def test_publish_camera_invokes_publisher_with_add_topic(self) -> None: + from frigate.config.camera.updater import CameraConfigUpdateEnum + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + + source_config = MagicMock() + new_camera_config = MagicMock() + frigate_config = MagicMock() + frigate_config.cameras = {"front": source_config} + publisher = MagicMock() + + with ( + patch.object( + manager, + "_build_camera_config_dict", + return_value={"enabled": True}, + ), + patch("frigate.debug_replay.find_config_file", return_value="/cfg.yml"), + patch("frigate.debug_replay.YAML") as yaml_cls, + patch("frigate.debug_replay.FrigateConfig.parse_object") as parse_object, + patch("builtins.open", unittest.mock.mock_open(read_data="cameras:\n")), + ): + yaml_instance = yaml_cls.return_value + yaml_instance.load.return_value = {"cameras": {}} + parsed = MagicMock() + parsed.cameras = {"_replay_front": new_camera_config} + parse_object.return_value = parsed + + manager.publish_camera( + source_camera="front", + replay_name="_replay_front", + clip_path="/tmp/clip.mp4", + frigate_config=frigate_config, + config_publisher=publisher, + ) + + # Camera registered into the live config dict + self.assertIn("_replay_front", frigate_config.cameras) + # Publisher invoked with an add topic + self.assertEqual(publisher.publish_update.call_count, 1) + topic_arg = publisher.publish_update.call_args.args[0] + self.assertEqual(topic_arg.update_type, CameraConfigUpdateEnum.add) + + def test_publish_camera_wraps_parse_failure_in_runtime_error(self) -> None: + from frigate.debug_replay import DebugReplayManager + + manager = DebugReplayManager() + frigate_config = MagicMock() + frigate_config.cameras = {"front": MagicMock()} + publisher = MagicMock() + + with ( + patch.object( + manager, + "_build_camera_config_dict", + return_value={"enabled": True}, + ), + patch("frigate.debug_replay.find_config_file", return_value="/cfg.yml"), + patch("frigate.debug_replay.YAML") as yaml_cls, + patch( + "frigate.debug_replay.FrigateConfig.parse_object", + side_effect=ValueError("zone foo has invalid coordinates"), + ), + patch("builtins.open", unittest.mock.mock_open(read_data="cameras:\n")), + ): + yaml_cls.return_value.load.return_value = {"cameras": {}} + + with self.assertRaises(RuntimeError) as ctx: + manager.publish_camera( + source_camera="front", + replay_name="_replay_front", + clip_path="/tmp/clip.mp4", + frigate_config=frigate_config, + config_publisher=publisher, + ) + + self.assertIn("replay camera config", str(ctx.exception)) + self.assertIn("invalid coordinates", str(ctx.exception)) + publisher.publish_update.assert_not_called() + + +if __name__ == "__main__": + unittest.main() diff --git a/frigate/test/test_debug_replay_job.py b/frigate/test/test_debug_replay_job.py new file mode 100644 index 0000000000..12c4be82b8 --- /dev/null +++ b/frigate/test/test_debug_replay_job.py @@ -0,0 +1,488 @@ +"""Tests for the debug replay job runner and factory.""" + +import threading +import time +import unittest +import unittest.mock +from unittest.mock import MagicMock, patch + +from frigate.debug_replay import DebugReplayManager +from frigate.jobs.debug_replay import ( + DebugReplayJob, + RecordingDebugReplaySource, + cancel_debug_replay_job, + get_active_runner, + start_debug_replay_job, +) +from frigate.jobs.export import JobStatePublisher +from frigate.jobs.manager import _completed_jobs, _current_jobs +from frigate.types import JobStatusTypesEnum + + +def _reset_job_manager() -> None: + """Clear the global job manager state between tests.""" + _current_jobs.clear() + _completed_jobs.clear() + + +def _patch_publisher(test_case: unittest.TestCase) -> None: + """Replace JobStatePublisher.publish with a no-op to avoid hanging on IPC.""" + publisher_patch = patch.object( + JobStatePublisher, "publish", lambda self, payload: None + ) + publisher_patch.start() + test_case.addCleanup(publisher_patch.stop) + + +class TestDebugReplayJob(unittest.TestCase): + def test_default_fields(self) -> None: + job = DebugReplayJob() + + self.assertEqual(job.job_type, "debug_replay") + self.assertEqual(job.status, JobStatusTypesEnum.queued) + self.assertIsNone(job.current_step) + self.assertEqual(job.progress_percent, 0.0) + + def test_to_dict_whitelist(self) -> None: + job = DebugReplayJob( + source_camera="front", + replay_camera_name="_replay_front", + start_ts=100.0, + end_ts=200.0, + ) + job.current_step = "preparing_clip" + job.progress_percent = 42.5 + + payload = job.to_dict() + + # Top-level matches the standard Job shape. + for key in ( + "id", + "job_type", + "status", + "start_time", + "end_time", + "error_message", + "results", + ): + self.assertIn(key, payload, f"missing top-level field: {key}") + + results = payload["results"] + self.assertEqual(results["source_camera"], "front") + self.assertEqual(results["replay_camera_name"], "_replay_front") + self.assertEqual(results["current_step"], "preparing_clip") + self.assertEqual(results["progress_percent"], 42.5) + self.assertEqual(results["start_ts"], 100.0) + self.assertEqual(results["end_ts"], 200.0) + + +class TestStartDebugReplayJob(unittest.TestCase): + def setUp(self) -> None: + _reset_job_manager() + _patch_publisher(self) + self.manager = DebugReplayManager() + self.frigate_config = MagicMock() + self.frigate_config.cameras = {"front": MagicMock()} + self.frigate_config.ffmpeg.ffmpeg_path = "/bin/true" + self.publisher = MagicMock() + + self.recordings_qs = MagicMock() + self.recordings_qs.count.return_value = 1 + self.recordings_qs.__iter__.return_value = iter([MagicMock(path="/tmp/r1.mp4")]) + + def tearDown(self) -> None: + runner = get_active_runner() + if runner is not None: + runner.cancel() + runner.join(timeout=2.0) + _reset_job_manager() + + def test_rejects_unknown_camera(self) -> None: + with self.assertRaises(ValueError): + start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="missing", + start_ts=100.0, + end_ts=200.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + def test_rejects_invalid_time_range(self) -> None: + with self.assertRaises(ValueError): + start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="front", + start_ts=200.0, + end_ts=100.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + def test_rejects_when_no_recordings(self) -> None: + empty_qs = MagicMock() + empty_qs.count.return_value = 0 + with patch("frigate.jobs.debug_replay.query_recordings", return_value=empty_qs): + with self.assertRaises(ValueError): + start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="front", + start_ts=100.0, + end_ts=200.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + def test_returns_job_id_and_marks_session_starting(self) -> None: + block = threading.Event() + + def slow_helper(cmd, **kwargs): + block.wait(timeout=5) + return 0, "" + + with ( + patch( + "frigate.jobs.debug_replay.query_recordings", + return_value=self.recordings_qs, + ), + patch( + "frigate.jobs.debug_replay.run_ffmpeg_with_progress", + side_effect=slow_helper, + ), + patch.object(self.manager, "publish_camera"), + patch("os.path.exists", return_value=True), + patch("os.makedirs"), + patch("builtins.open", unittest.mock.mock_open()), + ): + job_id = start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="front", + start_ts=100.0, + end_ts=200.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + self.assertIsInstance(job_id, str) + self.assertTrue(self.manager.active) + self.assertEqual(self.manager.replay_camera_name, "_replay_front") + self.assertEqual(self.manager.source_camera, "front") + + block.set() + + def test_rejects_concurrent_calls(self) -> None: + block = threading.Event() + + def slow_helper(cmd, **kwargs): + block.wait(timeout=5) + return 0, "" + + with ( + patch( + "frigate.jobs.debug_replay.query_recordings", + return_value=self.recordings_qs, + ), + patch( + "frigate.jobs.debug_replay.run_ffmpeg_with_progress", + side_effect=slow_helper, + ), + patch.object(self.manager, "publish_camera"), + patch("os.path.exists", return_value=True), + patch("os.makedirs"), + patch("builtins.open", unittest.mock.mock_open()), + ): + start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="front", + start_ts=100.0, + end_ts=200.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + with self.assertRaises(RuntimeError): + start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="front", + start_ts=100.0, + end_ts=200.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + block.set() + + +class TestRunnerHappyPath(unittest.TestCase): + def setUp(self) -> None: + _reset_job_manager() + _patch_publisher(self) + self.manager = DebugReplayManager() + self.frigate_config = MagicMock() + self.frigate_config.cameras = {"front": MagicMock()} + self.frigate_config.ffmpeg.ffmpeg_path = "/bin/true" + self.publisher = MagicMock() + + self.recordings_qs = MagicMock() + self.recordings_qs.count.return_value = 1 + self.recordings_qs.__iter__.return_value = iter([MagicMock(path="/tmp/r1.mp4")]) + + def tearDown(self) -> None: + runner = get_active_runner() + if runner is not None: + runner.cancel() + runner.join(timeout=2.0) + _reset_job_manager() + + def _wait_for(self, predicate, timeout: float = 5.0) -> bool: + deadline = time.time() + timeout + while time.time() < deadline: + if predicate(): + return True + time.sleep(0.02) + return False + + def test_progress_callback_updates_job_percent(self) -> None: + captured: list[float] = [] + + def fake_helper(cmd, *, on_progress=None, **kwargs): + on_progress(0.0) + on_progress(50.0) + on_progress(100.0) + return 0, "" + + with ( + patch( + "frigate.jobs.debug_replay.query_recordings", + return_value=self.recordings_qs, + ), + patch( + "frigate.jobs.debug_replay.run_ffmpeg_with_progress", + side_effect=fake_helper, + ), + patch.object( + self.manager, + "publish_camera", + side_effect=lambda *a, **kw: captured.append("published"), + ), + patch("os.path.exists", return_value=True), + patch("os.makedirs"), + patch("builtins.open", unittest.mock.mock_open()), + ): + start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="front", + start_ts=100.0, + end_ts=200.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + self.assertTrue( + self._wait_for(lambda: get_active_runner() is None), + "runner did not finish", + ) + + from frigate.jobs.manager import get_current_job + + job = get_current_job("debug_replay") + self.assertIsNotNone(job) + self.assertEqual(job.status, JobStatusTypesEnum.success) + self.assertEqual(job.progress_percent, 100.0) + self.assertEqual(captured, ["published"]) + # Manager should have been told the session is ready with the clip path. + self.assertIsNotNone(self.manager.clip_path) + + +class TestRunnerFailurePath(unittest.TestCase): + def setUp(self) -> None: + _reset_job_manager() + _patch_publisher(self) + self.manager = DebugReplayManager() + self.frigate_config = MagicMock() + self.frigate_config.cameras = {"front": MagicMock()} + self.frigate_config.ffmpeg.ffmpeg_path = "/bin/true" + self.publisher = MagicMock() + self.recordings_qs = MagicMock() + self.recordings_qs.count.return_value = 1 + self.recordings_qs.__iter__.return_value = iter([MagicMock(path="/tmp/r1.mp4")]) + + def tearDown(self) -> None: + runner = get_active_runner() + if runner is not None: + runner.cancel() + runner.join(timeout=2.0) + _reset_job_manager() + + def _wait_for(self, predicate, timeout: float = 5.0) -> bool: + deadline = time.time() + timeout + while time.time() < deadline: + if predicate(): + return True + time.sleep(0.02) + return False + + def test_ffmpeg_failure_marks_job_failed_and_clears_session(self) -> None: + def failing_helper(cmd, **kwargs): + return 1, "ffmpeg exploded" + + with ( + patch( + "frigate.jobs.debug_replay.query_recordings", + return_value=self.recordings_qs, + ), + patch( + "frigate.jobs.debug_replay.run_ffmpeg_with_progress", + side_effect=failing_helper, + ), + patch("os.path.exists", return_value=True), + patch("os.makedirs"), + patch("os.remove"), + patch("builtins.open", unittest.mock.mock_open()), + ): + start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="front", + start_ts=100.0, + end_ts=200.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + self.assertTrue( + self._wait_for(lambda: get_active_runner() is None), + "runner did not finish", + ) + + from frigate.jobs.manager import get_current_job + + job = get_current_job("debug_replay") + self.assertIsNotNone(job) + self.assertEqual(job.status, JobStatusTypesEnum.failed) + self.assertIsNotNone(job.error_message) + self.assertIn("ffmpeg", job.error_message.lower()) + # Session cleared so a new /start is allowed + self.assertFalse(self.manager.active) + + +class TestRunnerCancellation(unittest.TestCase): + def setUp(self) -> None: + _reset_job_manager() + _patch_publisher(self) + self.manager = DebugReplayManager() + self.frigate_config = MagicMock() + self.frigate_config.cameras = {"front": MagicMock()} + self.frigate_config.ffmpeg.ffmpeg_path = "/bin/true" + self.publisher = MagicMock() + self.recordings_qs = MagicMock() + self.recordings_qs.count.return_value = 1 + self.recordings_qs.__iter__.return_value = iter([MagicMock(path="/tmp/r1.mp4")]) + + def tearDown(self) -> None: + runner = get_active_runner() + if runner is not None: + runner.cancel() + runner.join(timeout=2.0) + _reset_job_manager() + + def _wait_for(self, predicate, timeout: float = 5.0) -> bool: + deadline = time.time() + timeout + while time.time() < deadline: + if predicate(): + return True + time.sleep(0.02) + return False + + def test_cancel_terminates_ffmpeg_and_marks_cancelled(self) -> None: + terminated = threading.Event() + fake_proc = MagicMock() + fake_proc.terminate = MagicMock(side_effect=lambda: terminated.set()) + + def fake_helper(cmd, *, process_started=None, **kwargs): + if process_started is not None: + process_started(fake_proc) + terminated.wait(timeout=5) + return -15, "killed" + + with ( + patch( + "frigate.jobs.debug_replay.query_recordings", + return_value=self.recordings_qs, + ), + patch( + "frigate.jobs.debug_replay.run_ffmpeg_with_progress", + side_effect=fake_helper, + ), + patch("os.path.exists", return_value=True), + patch("os.makedirs"), + patch("os.remove"), + patch("builtins.open", unittest.mock.mock_open()), + ): + start_debug_replay_job( + source=RecordingDebugReplaySource( + source_camera="front", + start_ts=100.0, + end_ts=200.0, + internal_port=5000, + ), + frigate_config=self.frigate_config, + config_publisher=self.publisher, + replay_manager=self.manager, + ) + + # Wait for the runner to register the active process. + self.assertTrue( + self._wait_for( + lambda: ( + get_active_runner() is not None + and get_active_runner()._active_process is fake_proc + ) + ) + ) + + cancelled = cancel_debug_replay_job() + self.assertTrue(cancelled) + self.assertTrue(fake_proc.terminate.called) + + self.assertTrue( + self._wait_for(lambda: get_active_runner() is None), + "runner did not finish", + ) + + from frigate.jobs.manager import get_current_job + + job = get_current_job("debug_replay") + self.assertEqual(job.status, JobStatusTypesEnum.cancelled) + # Runner must not clear the manager session on cancellation — + # that belongs to the caller of cancel_debug_replay_job (stop()). + # If the runner cleared it, stop() would log "no active session" + # and skip its cleanup_db / cleanup_files calls. + self.assertTrue(self.manager.active) + + +if __name__ == "__main__": + unittest.main() diff --git a/frigate/test/test_export_progress.py b/frigate/test/test_export_progress.py index 616a63503b..835cf91b99 100644 --- a/frigate/test/test_export_progress.py +++ b/frigate/test/test_export_progress.py @@ -1,6 +1,9 @@ """Tests for export progress tracking, broadcast, and FFmpeg parsing.""" import io +import os +import shutil +import tempfile import unittest from unittest.mock import MagicMock, patch @@ -11,6 +14,7 @@ ) from frigate.record.export import PlaybackSourceEnum, RecordingExporter from frigate.types import JobStatusTypesEnum +from frigate.util.ffmpeg import inject_progress_flags def _make_exporter( @@ -115,10 +119,9 @@ def test_db_failure_falls_back_to_requested_range(self) -> None: class TestProgressFlagInjection(unittest.TestCase): def test_inserts_before_output_path(self) -> None: - exporter = _make_exporter() cmd = ["ffmpeg", "-i", "input.m3u8", "-c", "copy", "/tmp/output.mp4"] - result = exporter._inject_progress_flags(cmd) + result = inject_progress_flags(cmd) assert result == [ "ffmpeg", @@ -133,8 +136,7 @@ def test_inserts_before_output_path(self) -> None: ] def test_handles_empty_cmd(self) -> None: - exporter = _make_exporter() - assert exporter._inject_progress_flags([]) == [] + assert inject_progress_flags([]) == [] class TestFfmpegProgressParsing(unittest.TestCase): @@ -164,7 +166,7 @@ def on_progress(step: str, percent: float) -> None: fake_proc.returncode = 0 fake_proc.wait = MagicMock(return_value=0) - with patch("frigate.record.export.sp.Popen", return_value=fake_proc): + with patch("frigate.util.ffmpeg.sp.Popen", return_value=fake_proc): returncode, _stderr = exporter._run_ffmpeg_with_progress( ["ffmpeg", "-i", "x.m3u8", "/tmp/out.mp4"], "playlist", step="encoding" ) @@ -363,6 +365,121 @@ def test_progress_callback_updates_job_and_broadcasts(self) -> None: assert job.progress_percent == 33.0 +class TestGetDatetimeFromTimestamp(unittest.TestCase): + """Auto-generated export name should honor config.ui.timezone, not + fall back to the container's UTC clock when a timezone is configured. + """ + + def test_uses_configured_ui_timezone(self) -> None: + exporter = _make_exporter() + exporter.config.ui.timezone = "America/New_York" + # 2025-01-15 12:00:00 UTC is 07:00:00 EST + assert exporter.get_datetime_from_timestamp(1736942400) == "2025-01-15 07:00:00" + + def test_falls_back_to_local_when_timezone_unset(self) -> None: + exporter = _make_exporter() + exporter.config.ui.timezone = None + # No assertion on the exact wall-clock value — just confirm no + # exception and that pytz isn't required when the field is unset. + assert isinstance(exporter.get_datetime_from_timestamp(1736942400), str) + + def test_invalid_timezone_falls_back_to_local(self) -> None: + exporter = _make_exporter() + exporter.config.ui.timezone = "Not/A_Real_Zone" + assert isinstance(exporter.get_datetime_from_timestamp(1736942400), str) + + +class TestSaveThumbnailFromPreviewFrames(unittest.TestCase): + """Short exports in the current hour can fall between preview frame + writes (1-2 fps during activity, every 30s otherwise). When no frame + falls inside the export window, save_thumbnail should fall back to + the most recent prior frame instead of returning no thumbnail.""" + + def setUp(self) -> None: + self.tmp_root = tempfile.mkdtemp(prefix="frigate_thumb_test_") + self.preview_dir = os.path.join(self.tmp_root, "cache", "preview_frames") + self.export_clips = os.path.join(self.tmp_root, "clips", "export") + os.makedirs(self.preview_dir, exist_ok=True) + os.makedirs(self.export_clips, exist_ok=True) + + def tearDown(self) -> None: + shutil.rmtree(self.tmp_root, ignore_errors=True) + + def _write_frame(self, camera: str, frame_time: float) -> str: + path = os.path.join(self.preview_dir, f"preview_{camera}-{frame_time}.webp") + with open(path, "wb") as f: + f.write(b"fake-webp-bytes") + return path + + def _make_short_current_hour_exporter(self) -> RecordingExporter: + # Use a "now-ish" timestamp so save_thumbnail's start-of-hour + # comparison takes the current-hour branch (preview frames). + import datetime + + now = datetime.datetime.now(datetime.timezone.utc).timestamp() + exporter = _make_exporter() + exporter.export_id = "thumb_short" + exporter.start_time = now + exporter.end_time = now + 3 + return exporter + + def test_short_export_falls_back_to_prior_preview_frame(self) -> None: + exporter = self._make_short_current_hour_exporter() + # Most recent preview frame is 10s before the export window + prior = self._write_frame(exporter.camera, exporter.start_time - 10.0) + thumb_target = os.path.join(self.export_clips, f"{exporter.export_id}.webp") + + with ( + patch( + "frigate.record.export.CACHE_DIR", os.path.join(self.tmp_root, "cache") + ), + patch( + "frigate.record.export.CLIPS_DIR", os.path.join(self.tmp_root, "clips") + ), + ): + result = exporter.save_thumbnail(exporter.export_id) + + assert result == thumb_target + assert os.path.isfile(thumb_target) + with open(thumb_target, "rb") as f, open(prior, "rb") as src: + assert f.read() == src.read() + + def test_returns_empty_when_no_preview_frames_exist(self) -> None: + exporter = self._make_short_current_hour_exporter() + + with ( + patch( + "frigate.record.export.CACHE_DIR", os.path.join(self.tmp_root, "cache") + ), + patch( + "frigate.record.export.CLIPS_DIR", os.path.join(self.tmp_root, "clips") + ), + ): + result = exporter.save_thumbnail(exporter.export_id) + + assert result == "" + + def test_prefers_in_window_frame_over_prior_frame(self) -> None: + exporter = self._make_short_current_hour_exporter() + self._write_frame(exporter.camera, exporter.start_time - 10.0) + in_window = self._write_frame(exporter.camera, exporter.start_time + 1.0) + thumb_target = os.path.join(self.export_clips, f"{exporter.export_id}.webp") + + with ( + patch( + "frigate.record.export.CACHE_DIR", os.path.join(self.tmp_root, "cache") + ), + patch( + "frigate.record.export.CLIPS_DIR", os.path.join(self.tmp_root, "clips") + ), + ): + result = exporter.save_thumbnail(exporter.export_id) + + assert result == thumb_target + with open(thumb_target, "rb") as f, open(in_window, "rb") as src: + assert f.read() == src.read() + + class TestSchedulesCleanup(unittest.TestCase): def test_schedule_job_cleanup_removes_after_delay(self) -> None: config = MagicMock() @@ -381,5 +498,56 @@ def test_schedule_job_cleanup_removes_after_delay(self) -> None: assert job.id not in manager.jobs +class TestChapterMetadataInProgressReview(unittest.TestCase): + """Regression: in-progress review segments have end_time=NULL until the + activity closes. The chapter builder must clamp the chapter end to the + last recorded second instead of crashing on float(None).""" + + def _fake_select_returning(self, rows: list) -> MagicMock: + mock_query = MagicMock() + mock_query.where.return_value = mock_query + mock_query.order_by.return_value = mock_query + mock_query.iterator.return_value = iter(rows) + return mock_query + + def test_in_progress_review_does_not_crash_and_clamps_to_last_recording( + self, + ) -> None: + exporter = _make_exporter(end_minus_start=200) + # Recordings cover [1000, 1150]; export window is [1000, 1200] so + # the last recorded second is 1150 (a 50s gap at the tail). + recordings = [ + MagicMock(start_time=1000.0, end_time=1150.0), + ] + in_progress = MagicMock( + start_time=1100.0, + end_time=None, + severity="alert", + data={"objects": ["person"]}, + ) + + with tempfile.TemporaryDirectory() as tmpdir: + chapter_path = os.path.join(tmpdir, "chapters.txt") + exporter._chapter_metadata_path = lambda: chapter_path # type: ignore[method-assign] + + with patch( + "frigate.record.export.ReviewSegment.select", + return_value=self._fake_select_returning([in_progress]), + ): + result = exporter._build_chapter_metadata_file(recordings) + + assert result == chapter_path + with open(chapter_path) as f: + content = f.read() + + # Output time is windows[-1][1] - windows[-1][0] = 150s. + # Review starts at wall=1100, output offset = 100s -> 100000ms. + # Clamped end = last_recorded_end (1150) -> output offset = 150s -> 150000ms. + assert "[CHAPTER]" in content + assert "START=100000" in content + assert "END=150000" in content + assert "title=Alert: person" in content + + if __name__ == "__main__": unittest.main() diff --git a/frigate/test/test_ffmpeg_progress.py b/frigate/test/test_ffmpeg_progress.py new file mode 100644 index 0000000000..5210511168 --- /dev/null +++ b/frigate/test/test_ffmpeg_progress.py @@ -0,0 +1,111 @@ +"""Tests for the shared ffmpeg progress helper.""" + +import unittest +from unittest.mock import MagicMock, patch + +from frigate.util.ffmpeg import inject_progress_flags, run_ffmpeg_with_progress + + +class TestInjectProgressFlags(unittest.TestCase): + def test_inserts_flags_before_output_path(self): + cmd = ["ffmpeg", "-i", "in.mp4", "-c", "copy", "out.mp4"] + result = inject_progress_flags(cmd) + self.assertEqual( + result, + [ + "ffmpeg", + "-i", + "in.mp4", + "-c", + "copy", + "-progress", + "pipe:2", + "-nostats", + "out.mp4", + ], + ) + + def test_empty_cmd_returns_empty(self): + self.assertEqual(inject_progress_flags([]), []) + + +class TestRunFfmpegWithProgress(unittest.TestCase): + def _make_fake_proc(self, stderr_lines, returncode=0): + proc = MagicMock() + proc.stderr = iter(stderr_lines) + proc.stdin = MagicMock() + proc.returncode = returncode + proc.wait = MagicMock() + return proc + + def test_emits_percent_from_out_time_us_lines(self): + captured: list[float] = [] + + def on_progress(percent: float) -> None: + captured.append(percent) + + stderr_lines = [ + "out_time_us=1000000\n", + "out_time_us=5000000\n", + "progress=end\n", + ] + proc = self._make_fake_proc(stderr_lines) + proc.stderr = MagicMock() + proc.stderr.__iter__ = lambda self: iter(stderr_lines) + proc.stderr.read = MagicMock(return_value="") + + with patch("subprocess.Popen", return_value=proc): + returncode, _stderr = run_ffmpeg_with_progress( + ["ffmpeg", "-i", "in", "out"], + expected_duration_seconds=10.0, + on_progress=on_progress, + use_low_priority=False, + ) + + self.assertEqual(returncode, 0) + self.assertEqual(len(captured), 4) # initial 0.0 + two parsed + final 100.0 + self.assertAlmostEqual(captured[0], 0.0) + self.assertAlmostEqual(captured[1], 10.0) + self.assertAlmostEqual(captured[2], 50.0) + self.assertAlmostEqual(captured[3], 100.0) + + def test_passes_started_process_to_callback(self): + proc = self._make_fake_proc([]) + proc.stderr = MagicMock() + proc.stderr.__iter__ = lambda self: iter([]) + proc.stderr.read = MagicMock(return_value="") + + seen: list = [] + + with patch("subprocess.Popen", return_value=proc): + run_ffmpeg_with_progress( + ["ffmpeg", "out"], + expected_duration_seconds=1.0, + process_started=lambda p: seen.append(p), + use_low_priority=False, + ) + + self.assertEqual(seen, [proc]) + + def test_clamps_percent_to_0_100(self): + captured: list[float] = [] + + def on_progress(percent: float) -> None: + captured.append(percent) + + stderr_lines = ["out_time_us=999999999999\n"] + proc = self._make_fake_proc(stderr_lines) + proc.stderr = MagicMock() + proc.stderr.__iter__ = lambda self: iter(stderr_lines) + proc.stderr.read = MagicMock(return_value="") + + with patch("subprocess.Popen", return_value=proc): + run_ffmpeg_with_progress( + ["ffmpeg", "out"], + expected_duration_seconds=10.0, + on_progress=on_progress, + use_low_priority=False, + ) + + # initial 0.0 then a clamped reading + self.assertEqual(captured[-1], 100.0) diff --git a/frigate/test/test_gpu_stats.py b/frigate/test/test_gpu_stats.py index 2604c4002c..f6986912f7 100644 --- a/frigate/test/test_gpu_stats.py +++ b/frigate/test/test_gpu_stats.py @@ -7,8 +7,6 @@ class TestGpuStats(unittest.TestCase): def setUp(self): self.amd_results = "Unknown Radeon card. <= R500 won't work, new cards might.\nDumping to -, line limit 1.\n1664070990.607556: bus 10, gpu 4.17%, ee 0.00%, vgt 0.00%, ta 0.00%, tc 0.00%, sx 0.00%, sh 0.00%, spi 0.83%, smx 0.00%, cr 0.00%, sc 0.00%, pa 0.00%, db 0.00%, cb 0.00%, vram 60.37% 294.04mb, gtt 0.33% 52.21mb, mclk 100.00% 1.800ghz, sclk 26.65% 0.533ghz\n" - self.intel_results = """{"period":{"duration":1.194033,"unit":"ms"},"frequency":{"requested":0.000000,"actual":0.000000,"unit":"MHz"},"interrupts":{"count":3349.991164,"unit":"irq/s"},"rc6":{"value":47.844741,"unit":"%"},"engines":{"Render/3D/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Blitter/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/0":{"busy":4.533124,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/1":{"busy":6.194385,"sema":0.000000,"wait":0.000000,"unit":"%"},"VideoEnhance/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"}}},{"period":{"duration":1.189291,"unit":"ms"},"frequency":{"requested":0.000000,"actual":0.000000,"unit":"MHz"},"interrupts":{"count":0.000000,"unit":"irq/s"},"rc6":{"value":100.000000,"unit":"%"},"engines":{"Render/3D/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Blitter/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/1":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"VideoEnhance/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"}}}""" - self.nvidia_results = "name, utilization.gpu [%], memory.used [MiB], memory.total [MiB]\nNVIDIA GeForce RTX 3050, 42 %, 5036 MiB, 8192 MiB\n" @patch("subprocess.run") def test_amd_gpu_stats(self, sp): @@ -19,32 +17,82 @@ def test_amd_gpu_stats(self, sp): amd_stats = get_amd_gpu_stats() assert amd_stats == {"gpu": "4.17%", "mem": "60.37%"} - # @patch("subprocess.run") - # def test_nvidia_gpu_stats(self, sp): - # process = MagicMock() - # process.returncode = 0 - # process.stdout = self.nvidia_results - # sp.return_value = process - # nvidia_stats = get_nvidia_gpu_stats() - # assert nvidia_stats == { - # "name": "NVIDIA GeForce RTX 3050", - # "gpu": "42 %", - # "mem": "61.5 %", - # } + @patch("frigate.stats.intel_gpu_info.intel_gpu_name_resolver.get_names") + @patch("frigate.util.services.time.sleep") + @patch("frigate.util.services.time.monotonic") + @patch("frigate.util.services._read_intel_drm_fdinfo") + def test_intel_gpu_stats_fdinfo(self, read_fdinfo, monotonic, sleep, get_names): + # 1 second of wall clock between snapshots + monotonic.side_effect = [0.0, 1.0] + get_names.return_value = {"0000:00:02.0": "Intel Graphics"} - @patch("subprocess.run") - def test_intel_gpu_stats(self, sp): - process = MagicMock() - process.returncode = 124 - process.stdout = self.intel_results - sp.return_value = process - intel_stats = get_intel_gpu_stats(False) - # rc6 values: 47.844741 and 100.0 → avg 73.92 → gpu = 100 - 73.92 = 26.08% - # Render/3D/0: 0.0 and 0.0 → enc = 0.0% - # Video/0: 4.533124 and 0.0 → dec = 2.27% + # Two i915 clients on the same iGPU. Engine values are cumulative ns. + # Deltas over the 1s window: + # client A (pid 100): render +200_000_000 (20%), video +500_000_000 (50%), + # video-enhance +100_000_000 (10%) + # client B (pid 200): compute +100_000_000 (10%) + # Engine totals → render 20, video 50, video-enhance 10, compute 10 + # → compute = render + compute = 30 + # → dec = video + video-enhance = 60 + # → gpu = compute + dec = 90 + snapshot_a = { + ("0000:00:02.0", "1", "100"): { + "driver": "i915", + "pid": "100", + "engines": { + "render": (1_000_000_000, 0), + "video": (5_000_000_000, 0), + "video-enhance": (200_000_000, 0), + "compute": (0, 0), + }, + }, + ("0000:00:02.0", "2", "200"): { + "driver": "i915", + "pid": "200", + "engines": { + "render": (0, 0), + "compute": (2_000_000_000, 0), + }, + }, + } + snapshot_b = { + ("0000:00:02.0", "1", "100"): { + "driver": "i915", + "pid": "100", + "engines": { + "render": (1_200_000_000, 0), + "video": (5_500_000_000, 0), + "video-enhance": (300_000_000, 0), + "compute": (0, 0), + }, + }, + ("0000:00:02.0", "2", "200"): { + "driver": "i915", + "pid": "200", + "engines": { + "render": (0, 0), + "compute": (2_100_000_000, 0), + }, + }, + } + read_fdinfo.side_effect = [snapshot_a, snapshot_b] + + intel_stats = get_intel_gpu_stats(None) + + sleep.assert_called_once() assert intel_stats == { - "gpu": "26.08%", - "mem": "-%", - "compute": "0.0%", - "dec": "2.27%", + "0000:00:02.0": { + "name": "Intel Graphics", + "vendor": "intel", + "gpu": "90.0%", + "mem": "-%", + "compute": "30.0%", + "dec": "60.0%", + "clients": {"100": "80.0%", "200": "10.0%"}, + }, } + + @patch("frigate.util.services._read_intel_drm_fdinfo") + def test_intel_gpu_stats_no_clients(self, read_fdinfo): + read_fdinfo.return_value = {} + assert get_intel_gpu_stats(None) is None diff --git a/frigate/test/test_media_auth.py b/frigate/test/test_media_auth.py new file mode 100644 index 0000000000..d025fea614 --- /dev/null +++ b/frigate/test/test_media_auth.py @@ -0,0 +1,381 @@ +"""Unit tests for `frigate.api.media_auth`. + +Covers URI classification, the role-vs-camera decision matrix, and the export +DB-lookup path. These are pure functions/DB lookups — no HTTP stack involved. +""" + +import datetime +import logging +import os +import unittest + +from peewee_migrate import Router +from playhouse.sqlite_ext import SqliteExtDatabase +from playhouse.sqliteq import SqliteQueueDatabase + +from frigate.api.media_auth import ( + MediaAuthResolution, + deny_response_for_media_uri, + extract_path, + resolve_media_uri, +) +from frigate.config import FrigateConfig +from frigate.models import Event, Export, Recordings, ReviewSegment +from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS + +_CONFIG = { + "mqtt": {"host": "mqtt"}, + "auth": {"roles": {"limited_user": ["front_door"]}}, + "cameras": { + "front_door": { + "ffmpeg": { + "inputs": [{"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}] + }, + "detect": {"height": 1080, "width": 1920, "fps": 5}, + }, + "back_door": { + "ffmpeg": { + "inputs": [{"path": "rtsp://10.0.0.2:554/video", "roles": ["detect"]}] + }, + "detect": {"height": 1080, "width": 1920, "fps": 5}, + }, + # Camera name with a hyphen — exercises longest-prefix match. + "back-yard": { + "ffmpeg": { + "inputs": [{"path": "rtsp://10.0.0.3:554/video", "roles": ["detect"]}] + }, + "detect": {"height": 1080, "width": 1920, "fps": 5}, + }, + }, +} + + +class TestExtractPath(unittest.TestCase): + def test_full_url(self): + self.assertEqual( + extract_path("http://host:8971/clips/front_door-1.jpg"), + "/clips/front_door-1.jpg", + ) + + def test_strips_query_string(self): + self.assertEqual( + extract_path("http://h/recordings/2026-05-11/14/front_door/00.00.mp4?t=1"), + "/recordings/2026-05-11/14/front_door/00.00.mp4", + ) + + def test_path_only(self): + self.assertEqual(extract_path("/exports/x.mp4"), "/exports/x.mp4") + + def test_percent_decoded(self): + self.assertEqual( + extract_path("http://h/clips/front%20door-1.jpg"), + "/clips/front door-1.jpg", + ) + + def test_empty(self): + self.assertIsNone(extract_path(None)) + self.assertIsNone(extract_path("")) + + +class TestResolveMediaUri(unittest.TestCase): + def setUp(self): + self.config = FrigateConfig(**_CONFIG) + + def _assert(self, uri, resolution, camera=None): + got_resolution, got_camera = resolve_media_uri(uri, self.config) + self.assertEqual(got_resolution, resolution, uri) + self.assertEqual(got_camera, camera, uri) + + def test_unknown_paths(self): + self._assert("/api/events", MediaAuthResolution.UNKNOWN) + self._assert("/", MediaAuthResolution.UNKNOWN) + self._assert("", MediaAuthResolution.UNKNOWN) + + def test_recordings(self): + self._assert("/recordings/", MediaAuthResolution.LISTING_NEUTRAL) + self._assert("/recordings/2026-05-11/", MediaAuthResolution.LISTING_NEUTRAL) + self._assert( + "/recordings/2026-05-11/14/", MediaAuthResolution.LISTING_MULTI_CAMERA + ) + self._assert( + "/recordings/2026-05-11/14/front_door/", + MediaAuthResolution.CAMERA, + camera="front_door", + ) + self._assert( + "/recordings/2026-05-11/14/back_door/00.00.mp4", + MediaAuthResolution.CAMERA, + camera="back_door", + ) + + def test_clip_flat_filename_resolves_camera(self): + self._assert( + "/clips/front_door-1234.jpg", + MediaAuthResolution.CAMERA, + camera="front_door", + ) + self._assert( + "/clips/back_door-1234-clean.webp", + MediaAuthResolution.CAMERA, + camera="back_door", + ) + + def test_clip_filename_with_hyphenated_camera_name(self): + # Camera name "back-yard" itself contains a hyphen; longest-prefix + # match must pick `back-yard`, not the bogus `back` prefix. + self._assert( + "/clips/back-yard-1234.jpg", + MediaAuthResolution.CAMERA, + camera="back-yard", + ) + + def test_clip_filename_no_matching_camera(self): + # Looks like a media path but couldn't classify — fail closed for + # restricted users (UNRESOLVED_MEDIA), not pass-through. + self._assert( + "/clips/nonexistent-1234.jpg", MediaAuthResolution.UNRESOLVED_MEDIA + ) + + def test_clip_thumbs(self): + self._assert("/clips/thumbs/", MediaAuthResolution.LISTING_MULTI_CAMERA) + self._assert( + "/clips/thumbs/front_door/", + MediaAuthResolution.CAMERA, + camera="front_door", + ) + self._assert( + "/clips/thumbs/back_door/abc.webp", + MediaAuthResolution.CAMERA, + camera="back_door", + ) + + def test_clip_previews(self): + self._assert("/clips/previews/", MediaAuthResolution.LISTING_MULTI_CAMERA) + self._assert( + "/clips/previews/front_door/", + MediaAuthResolution.CAMERA, + camera="front_door", + ) + self._assert( + "/clips/previews/back_door/segment.mp4", + MediaAuthResolution.CAMERA, + camera="back_door", + ) + + def test_clip_review_thumbs(self): + # Format: /clips/review/thumb-{camera}-{review_id}.webp (frigate/review/maintainer.py). + self._assert( + "/clips/review/thumb-front_door-abc123.webp", + MediaAuthResolution.CAMERA, + camera="front_door", + ) + # Hyphenated camera name — longest-prefix match. + self._assert( + "/clips/review/thumb-back-yard-abc123.webp", + MediaAuthResolution.CAMERA, + camera="back-yard", + ) + # Unknown camera prefix → unresolved, not allowed for restricted users. + self._assert( + "/clips/review/thumb-unknown-cam-abc123.webp", + MediaAuthResolution.UNRESOLVED_MEDIA, + ) + + def test_clip_admin_only_subtrees(self): + self._assert("/clips/faces/train/foo.webp", MediaAuthResolution.ADMIN_ONLY) + self._assert("/clips/faces/", MediaAuthResolution.ADMIN_ONLY) + self._assert("/clips/genai-requests/x/0.webp", MediaAuthResolution.ADMIN_ONLY) + self._assert( + "/clips/preview_restart_cache/x.mp4", MediaAuthResolution.ADMIN_ONLY + ) + self._assert("/clips/some_model/train/x.jpg", MediaAuthResolution.ADMIN_ONLY) + self._assert("/clips/some_model/dataset/x.jpg", MediaAuthResolution.ADMIN_ONLY) + + def test_clip_unknown_subtree_is_unresolved(self): + # Unknown /clips/{x}/{y}/... subtree falls through as unresolved (not + # admin-only) so restricted users get 403 without admins being denied + # access to legitimate but unrecognized resources. + self._assert("/clips/random_dir/foo.jpg", MediaAuthResolution.UNRESOLVED_MEDIA) + + def test_clip_top_level_listing(self): + self._assert("/clips/", MediaAuthResolution.LISTING_MULTI_CAMERA) + + def test_exports_listing(self): + self._assert("/exports/", MediaAuthResolution.LISTING_MULTI_CAMERA) + + +class TestExportResolution(unittest.TestCase): + """Export resolution requires a DB lookup.""" + + def setUp(self): + migrate_db = SqliteExtDatabase("test.db") + del logging.getLogger("peewee_migrate").handlers[:] + Router(migrate_db).run() + migrate_db.close() + self.db = SqliteQueueDatabase(TEST_DB) + self.db.bind([Event, ReviewSegment, Recordings, Export]) + self.config = FrigateConfig(**_CONFIG) + + def tearDown(self): + if not self.db.is_closed(): + self.db.close() + for f in TEST_DB_CLEANUPS: + try: + os.remove(f) + except OSError: + pass + + def _insert_export(self, export_id, camera, filename): + Export.insert( + id=export_id, + camera=camera, + name=f"export-{export_id}", + date=int(datetime.datetime.now().timestamp()), + video_path=f"/media/frigate/exports/{filename}", + thumb_path=f"/media/frigate/exports/{filename}.jpg", + in_progress=False, + ).execute() + + def test_export_resolves_camera(self): + self._insert_export( + "exp1", "back_door", "back_door_20260511_140000-20260511_150000_abc123.mp4" + ) + resolution, camera = resolve_media_uri( + "/exports/back_door_20260511_140000-20260511_150000_abc123.mp4", + self.config, + ) + self.assertEqual(resolution, MediaAuthResolution.CAMERA) + self.assertEqual(camera, "back_door") + + def test_unknown_export_is_unresolved(self): + # No matching row → UNRESOLVED_MEDIA (fail closed for restricted users), + # not UNKNOWN (which would pass-through). + resolution, camera = resolve_media_uri( + "/exports/does_not_exist.mp4", self.config + ) + self.assertEqual(resolution, MediaAuthResolution.UNRESOLVED_MEDIA) + self.assertIsNone(camera) + + def test_export_anchored_match_not_endswith(self): + # Anchored exact-path equality must NOT match by filename suffix. + # A request like /exports/clip.mp4 must not authorize against a row at + # /media/frigate/exports/back_door_clip.mp4 just because the suffix matches. + self._insert_export("exp_bd", "back_door", "back_door_clip.mp4") + self._insert_export("exp_fd", "front_door", "front_door_clip.mp4") + resolution, _ = resolve_media_uri("/exports/clip.mp4", self.config) + self.assertEqual(resolution, MediaAuthResolution.UNRESOLVED_MEDIA) + + +class TestDenyResponseForMediaUri(unittest.TestCase): + """End-to-end decision check used by /auth.""" + + def setUp(self): + self.config = FrigateConfig(**_CONFIG) + + def _deny(self, url, role): + return deny_response_for_media_uri(url, role, self.config) + + def test_admin_always_allowed(self): + self.assertIsNone(self._deny("/clips/back_door-1.jpg", "admin")) + self.assertIsNone(self._deny("/clips/", "admin")) + self.assertIsNone(self._deny("/clips/faces/x.webp", "admin")) + self.assertIsNone( + self._deny("/recordings/2026-05-11/14/back_door/00.00.mp4", "admin") + ) + + def test_unrestricted_role_allowed(self): + # "viewer" role has no entry in roles_dict → full access (matches the + # behavior of require_camera_access). + self.assertIsNone(self._deny("/clips/back_door-1.jpg", "viewer")) + self.assertIsNone(self._deny("/clips/", "viewer")) + + def test_restricted_role_allowed_camera(self): + self.assertIsNone(self._deny("/clips/front_door-1.jpg", "limited_user")) + self.assertIsNone( + self._deny("/recordings/2026-05-11/14/front_door/00.00.mp4", "limited_user") + ) + self.assertIsNone( + self._deny("/clips/thumbs/front_door/abc.webp", "limited_user") + ) + + def test_restricted_role_blocked_other_camera(self): + self.assertEqual(self._deny("/clips/back_door-1.jpg", "limited_user"), 403) + self.assertEqual( + self._deny("/recordings/2026-05-11/14/back_door/00.00.mp4", "limited_user"), + 403, + ) + self.assertEqual( + self._deny("/clips/thumbs/back_door/abc.webp", "limited_user"), 403 + ) + + def test_restricted_role_blocked_admin_only(self): + self.assertEqual(self._deny("/clips/faces/train/foo.webp", "limited_user"), 403) + + def test_restricted_role_blocked_multi_camera_listing(self): + self.assertEqual(self._deny("/clips/", "limited_user"), 403) + self.assertEqual(self._deny("/exports/", "limited_user"), 403) + self.assertEqual(self._deny("/recordings/2026-05-11/14/", "limited_user"), 403) + + def test_restricted_role_allowed_neutral_listing(self): + self.assertIsNone(self._deny("/recordings/", "limited_user")) + self.assertIsNone(self._deny("/recordings/2026-05-11/", "limited_user")) + + def test_non_media_uri_passes_through(self): + self.assertIsNone(self._deny("/api/events", "limited_user")) + self.assertIsNone(self._deny("http://h/login", "limited_user")) + + def test_missing_header(self): + self.assertIsNone(self._deny(None, "limited_user")) + self.assertIsNone(self._deny("", "limited_user")) + + def test_traversal_in_media_uri_denied_for_all_roles(self): + # Bypass attempt: parts[3] looks like an allowed camera, but the + # normalized path nginx would serve points at a forbidden camera. + # Both restricted and admin should be denied — the URI is malformed + # and we refuse to make an auth decision against it. + traversal_uris = [ + "/recordings/2026-05-11/14/front_door/../back_door/00.00.mp4", + "/clips/front_door-1.jpg/../back_door-1.jpg", + "/exports/../recordings/2026-05-11/14/back_door/00.00.mp4", + "/clips/./back_door-1.jpg", + ] + for uri in traversal_uris: + self.assertEqual(self._deny(uri, "limited_user"), 403, uri) + self.assertEqual(self._deny(uri, "admin"), 403, uri) + self.assertEqual(self._deny(uri, "viewer"), 403, uri) + + def test_traversal_outside_media_passes_through(self): + # `..` in non-media URIs is not our problem; the backend handles it. + self.assertIsNone(self._deny("/api/foo/../bar", "limited_user")) + + def test_percent_encoded_traversal_denied(self): + # nginx may decode percent-encoded `%2E%2E` to `..` before serving; + # we must apply the same denial after percent-decoding. + self.assertEqual( + self._deny( + "/recordings/2026-05-11/14/front_door/%2E%2E/back_door/00.mp4", + "limited_user", + ), + 403, + ) + + def test_unresolved_media_fails_closed_for_restricted(self): + # Restricted user requesting a media URI we can't classify (no DB row, + # unknown clip prefix, unknown clip subtree) must be denied. + self.assertEqual(self._deny("/clips/nonexistent-1.jpg", "limited_user"), 403) + self.assertEqual(self._deny("/clips/random_dir/foo.jpg", "limited_user"), 403) + self.assertEqual( + self._deny("/clips/review/thumb-unknown_cam-1.webp", "limited_user"), + 403, + ) + + def test_unresolved_media_allowed_for_admin(self): + # Admin and full-access roles are *not* denied on UNRESOLVED_MEDIA — + # nginx returns 404 if the file doesn't exist on disk anyway, and we + # don't want a stale DB to lock out admins. + self.assertIsNone(self._deny("/clips/nonexistent-1.jpg", "admin")) + self.assertIsNone(self._deny("/clips/nonexistent-1.jpg", "viewer")) + + +if __name__ == "__main__": + unittest.main() diff --git a/frigate/test/test_output_ws_auth.py b/frigate/test/test_output_ws_auth.py new file mode 100644 index 0000000000..ea4834ef13 --- /dev/null +++ b/frigate/test/test_output_ws_auth.py @@ -0,0 +1,57 @@ +"""Tests for JSMPEG websocket authorization.""" + +import unittest +from types import SimpleNamespace + +from frigate.config import FrigateConfig +from frigate.output.ws_auth import ws_has_camera_access + + +class TestWsHasCameraAccess(unittest.TestCase): + def setUp(self): + self.config = FrigateConfig( + mqtt={"host": "mqtt"}, + auth={"roles": {"limited_user": ["front_door"]}}, + cameras={ + "front_door": { + "ffmpeg": { + "inputs": [ + {"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]} + ] + }, + "detect": {"height": 1080, "width": 1920, "fps": 5}, + }, + "back_door": { + "ffmpeg": { + "inputs": [ + {"path": "rtsp://10.0.0.2:554/video", "roles": ["detect"]} + ] + }, + "detect": {"height": 1080, "width": 1920, "fps": 5}, + }, + }, + ) + + def _make_ws(self, role: str): + return SimpleNamespace(environ={"HTTP_REMOTE_ROLE": role}) + + def test_restricted_role_only_gets_allowed_camera(self): + ws = self._make_ws("limited_user") + self.assertTrue(ws_has_camera_access(ws, "front_door", self.config)) + self.assertFalse(ws_has_camera_access(ws, "back_door", self.config)) + + def test_unrestricted_role_can_access_any_camera(self): + ws = self._make_ws("viewer") + self.assertTrue(ws_has_camera_access(ws, "front_door", self.config)) + self.assertTrue(ws_has_camera_access(ws, "back_door", self.config)) + + def test_birdseye_requires_unrestricted_access(self): + self.assertTrue( + ws_has_camera_access(self._make_ws("admin"), "birdseye", self.config) + ) + self.assertTrue( + ws_has_camera_access(self._make_ws("viewer"), "birdseye", self.config) + ) + self.assertFalse( + ws_has_camera_access(self._make_ws("limited_user"), "birdseye", self.config) + ) diff --git a/frigate/test/test_shared_memory_frame_manager.py b/frigate/test/test_shared_memory_frame_manager.py new file mode 100644 index 0000000000..63c96f732d --- /dev/null +++ b/frigate/test/test_shared_memory_frame_manager.py @@ -0,0 +1,156 @@ +"""Tests for SharedMemoryFrameManager cache invalidation. + +Covers the case where a SHM segment is unlinked and recreated at a +different size across a camera add/remove cycle while a long-lived +in-process cache (e.g. TrackedObjectProcessor) still holds a ref to +the old, smaller segment. +""" + +import unittest +from types import SimpleNamespace +from unittest.mock import patch + +import numpy as np + +from frigate.util.image import SharedMemoryFrameManager + + +def _fake_shm(size: int) -> SimpleNamespace: + """A minimal stand-in for UntrackedSharedMemory with .size and .buf.""" + return SimpleNamespace(size=size, buf=bytearray(size), close=lambda: None) + + +class TestSharedMemoryFrameManagerGet(unittest.TestCase): + def test_get_reopens_when_cached_segment_is_smaller_than_shape(self) -> None: + """A cached ref to an older smaller segment must be dropped and the + current (correctly sized) segment reopened. Without this, np.ndarray + would raise "buffer is too small for requested array" when the + in-memory cache pointed at an old SHM after a same-name resize.""" + manager = SharedMemoryFrameManager() + + small = _fake_shm(size=100) + current = _fake_shm(size=2_500) + manager.shm_store["cam_frame0"] = small + + with patch("frigate.util.image.UntrackedSharedMemory", return_value=current): + arr = manager.get("cam_frame0", (50, 50)) + + self.assertIsNotNone(arr) + self.assertEqual(arr.shape, (50, 50)) + self.assertIs(manager.shm_store["cam_frame0"], current) + + def test_get_reopens_when_cached_segment_is_larger_than_shape(self) -> None: + """Symmetric to the smaller-cache case: when detect resolution drops, + the SHM is unlinked and recreated at a smaller size. A cached ref to + the old, larger segment still satisfies any size check but points at + an orphaned inode whose stale bytes get reinterpreted at the new + shape — producing miscolored, distorted YUV frames downstream. Drop + the cache so we reopen by name and bind to the current segment.""" + manager = SharedMemoryFrameManager() + + old_large = _fake_shm(size=10_000) + current = _fake_shm(size=2_500) + manager.shm_store["cam_frame0"] = old_large + + with patch("frigate.util.image.UntrackedSharedMemory", return_value=current): + arr = manager.get("cam_frame0", (50, 50)) + + self.assertIsNotNone(arr) + self.assertEqual(arr.shape, (50, 50)) + self.assertIs(manager.shm_store["cam_frame0"], current) + + def test_get_keeps_cached_segment_when_size_matches(self) -> None: + """Don't pay the reopen cost when the cached ref is the right size.""" + manager = SharedMemoryFrameManager() + + cached = _fake_shm(size=2_500) + manager.shm_store["cam_frame0"] = cached + + with patch("frigate.util.image.UntrackedSharedMemory") as untracked_shm_cls: + arr = manager.get("cam_frame0", (50, 50)) + untracked_shm_cls.assert_not_called() + + self.assertIsNotNone(arr) + self.assertIs(manager.shm_store["cam_frame0"], cached) + + def test_get_opens_fresh_when_no_cache_entry(self) -> None: + manager = SharedMemoryFrameManager() + fresh = _fake_shm(size=2_500) + + with patch("frigate.util.image.UntrackedSharedMemory", return_value=fresh): + arr = manager.get("cam_frame0", (50, 50)) + + self.assertIsNotNone(arr) + self.assertIs(manager.shm_store["cam_frame0"], fresh) + + def test_get_returns_none_when_segment_missing(self) -> None: + manager = SharedMemoryFrameManager() + + with patch( + "frigate.util.image.UntrackedSharedMemory", + side_effect=FileNotFoundError, + ): + arr = manager.get("cam_frame0", (50, 50)) + + self.assertIsNone(arr) + + def test_get_returns_none_when_reopened_segment_is_still_too_small(self) -> None: + """Race during a same-name SHM recreate: cache is stale, we reopen + by name, but the maintainer hasn't allocated the new segment yet — + the reopened ref is also too small. Skip the frame (return None) + rather than crash on np.ndarray.""" + manager = SharedMemoryFrameManager() + + small_cached = _fake_shm(size=100) + still_small_after_reopen = _fake_shm(size=100) + manager.shm_store["cam_frame0"] = small_cached + + with patch( + "frigate.util.image.UntrackedSharedMemory", + return_value=still_small_after_reopen, + ): + arr = manager.get("cam_frame0", (50, 50)) + + self.assertIsNone(arr) + # Don't cache the too-small reopened ref — next call will re-open + # once the maintainer has finished recreating the segment. + self.assertNotIn("cam_frame0", manager.shm_store) + + def test_get_handles_n_dimensional_shape(self) -> None: + """np.prod must be used (not raw multiplication) for tuple shapes.""" + manager = SharedMemoryFrameManager() + # YUV-shaped frame: (height * 3/2, width) for 1920x1080 = 3,110,400 + big_enough = _fake_shm(size=3_110_400) + manager.shm_store["cam_frame0"] = big_enough + + with patch("frigate.util.image.UntrackedSharedMemory") as untracked_shm_cls: + arr = manager.get("cam_frame0", (1620, 1920)) + untracked_shm_cls.assert_not_called() + + self.assertIsNotNone(arr) + self.assertEqual(arr.shape, (1620, 1920)) + + +class TestSharedMemoryFrameManagerGetRecreatesLargerSegment(unittest.TestCase): + """End-to-end-style: simulates the full unlink-and-recreate cycle.""" + + def test_segment_grows_then_get_succeeds(self) -> None: + manager = SharedMemoryFrameManager() + + # Phase 1: existing camera at 320x240 YUV — 320 * 240 * 1.5 = 115_200 + small = _fake_shm(size=115_200) + manager.shm_store["cam_frame0"] = small + arr_small = np.ndarray((360, 320), dtype=np.uint8, buffer=small.buf) + self.assertEqual(arr_small.shape, (360, 320)) + + # Phase 2: restart at 1920x1080 — new SHM segment, larger size. + large = _fake_shm(size=3_110_400) + with patch("frigate.util.image.UntrackedSharedMemory", return_value=large): + arr_large = manager.get("cam_frame0", (1620, 1920)) + + self.assertIsNotNone(arr_large) + self.assertEqual(arr_large.shape, (1620, 1920)) + + +if __name__ == "__main__": + unittest.main() diff --git a/frigate/test/test_webpush_camera_monitoring.py b/frigate/test/test_webpush_camera_monitoring.py new file mode 100644 index 0000000000..fa9172ad20 --- /dev/null +++ b/frigate/test/test_webpush_camera_monitoring.py @@ -0,0 +1,29 @@ +"""Tests for camera monitoring notification authorization.""" + +import unittest +from types import SimpleNamespace +from unittest.mock import MagicMock + +from frigate.comms.webpush import WebPushClient + + +class TestCameraMonitoringNotifications(unittest.TestCase): + def test_send_camera_monitoring_filters_by_camera_access(self): + client = WebPushClient.__new__(WebPushClient) + client.config = SimpleNamespace( + cameras={"front_door": SimpleNamespace(friendly_name=None)} + ) + client.web_pushers = {"allowed": [], "denied": []} + client.user_cameras = {"allowed": {"front_door"}, "denied": set()} + client.check_registrations = MagicMock() + client.cleanup_registrations = MagicMock() + client.send_push_notification = MagicMock() + + client.send_camera_monitoring( + {"camera": "front_door", "message": "Monitoring condition met"} + ) + + self.assertEqual(client.send_push_notification.call_count, 1) + self.assertEqual( + client.send_push_notification.call_args.kwargs["user"], "allowed" + ) diff --git a/frigate/test/test_ws_auth.py b/frigate/test/test_ws_auth.py new file mode 100644 index 0000000000..b762f4384c --- /dev/null +++ b/frigate/test/test_ws_auth.py @@ -0,0 +1,166 @@ +"""Tests for WebSocket authorization checks.""" + +import unittest + +from frigate.comms.ws import _check_ws_authorization +from frigate.const import INSERT_MANY_RECORDINGS, UPDATE_CAMERA_ACTIVITY + + +class TestCheckWsAuthorization(unittest.TestCase): + """Tests for the _check_ws_authorization pure function.""" + + DEFAULT_SEPARATOR = "," + + # --- IPC topic blocking (unconditional, regardless of role) --- + + def test_ipc_topic_blocked_for_admin(self): + self.assertFalse( + _check_ws_authorization( + INSERT_MANY_RECORDINGS, "admin", self.DEFAULT_SEPARATOR + ) + ) + + def test_ipc_topic_blocked_for_viewer(self): + self.assertFalse( + _check_ws_authorization( + UPDATE_CAMERA_ACTIVITY, "viewer", self.DEFAULT_SEPARATOR + ) + ) + + def test_ipc_topic_blocked_when_no_role(self): + self.assertFalse( + _check_ws_authorization( + INSERT_MANY_RECORDINGS, None, self.DEFAULT_SEPARATOR + ) + ) + + # --- Viewer allowed topics --- + + def test_viewer_can_send_on_connect(self): + self.assertTrue( + _check_ws_authorization("onConnect", "viewer", self.DEFAULT_SEPARATOR) + ) + + def test_viewer_can_send_model_state(self): + self.assertTrue( + _check_ws_authorization("modelState", "viewer", self.DEFAULT_SEPARATOR) + ) + + def test_viewer_can_send_audio_transcription_state(self): + self.assertTrue( + _check_ws_authorization( + "audioTranscriptionState", "viewer", self.DEFAULT_SEPARATOR + ) + ) + + def test_viewer_can_send_birdseye_layout(self): + self.assertTrue( + _check_ws_authorization("birdseyeLayout", "viewer", self.DEFAULT_SEPARATOR) + ) + + def test_viewer_can_send_embeddings_reindex_progress(self): + self.assertTrue( + _check_ws_authorization( + "embeddingsReindexProgress", "viewer", self.DEFAULT_SEPARATOR + ) + ) + + # --- Viewer blocked from admin topics --- + + def test_viewer_blocked_from_restart(self): + self.assertFalse( + _check_ws_authorization("restart", "viewer", self.DEFAULT_SEPARATOR) + ) + + def test_viewer_blocked_from_camera_detect_set(self): + self.assertFalse( + _check_ws_authorization( + "front_door/detect/set", "viewer", self.DEFAULT_SEPARATOR + ) + ) + + def test_viewer_blocked_from_camera_ptz(self): + self.assertFalse( + _check_ws_authorization("front_door/ptz", "viewer", self.DEFAULT_SEPARATOR) + ) + + def test_viewer_blocked_from_global_notifications_set(self): + self.assertFalse( + _check_ws_authorization( + "notifications/set", "viewer", self.DEFAULT_SEPARATOR + ) + ) + + def test_viewer_blocked_from_camera_notifications_suspend(self): + self.assertFalse( + _check_ws_authorization( + "front_door/notifications/suspend", "viewer", self.DEFAULT_SEPARATOR + ) + ) + + def test_viewer_blocked_from_arbitrary_unknown_topic(self): + self.assertFalse( + _check_ws_authorization( + "some_random_topic", "viewer", self.DEFAULT_SEPARATOR + ) + ) + + # --- Admin access --- + + def test_admin_can_send_restart(self): + self.assertTrue( + _check_ws_authorization("restart", "admin", self.DEFAULT_SEPARATOR) + ) + + def test_admin_can_send_camera_detect_set(self): + self.assertTrue( + _check_ws_authorization( + "front_door/detect/set", "admin", self.DEFAULT_SEPARATOR + ) + ) + + def test_admin_can_send_camera_ptz(self): + self.assertTrue( + _check_ws_authorization("front_door/ptz", "admin", self.DEFAULT_SEPARATOR) + ) + + # --- Comma-separated roles --- + + def test_comma_separated_admin_viewer_grants_admin(self): + self.assertTrue( + _check_ws_authorization("restart", "admin,viewer", self.DEFAULT_SEPARATOR) + ) + + def test_comma_separated_viewer_admin_grants_admin(self): + self.assertTrue( + _check_ws_authorization("restart", "viewer,admin", self.DEFAULT_SEPARATOR) + ) + + def test_comma_separated_with_spaces(self): + self.assertTrue( + _check_ws_authorization("restart", "viewer, admin", self.DEFAULT_SEPARATOR) + ) + + # --- Custom separator --- + + def test_pipe_separator(self): + self.assertTrue(_check_ws_authorization("restart", "viewer|admin", "|")) + + def test_pipe_separator_no_admin(self): + self.assertFalse(_check_ws_authorization("restart", "viewer|editor", "|")) + + # --- No role header (fail-closed) --- + + def test_no_role_header_blocks_admin_topics(self): + self.assertFalse( + _check_ws_authorization("restart", None, self.DEFAULT_SEPARATOR) + ) + + def test_no_role_header_allows_viewer_topics(self): + self.assertTrue( + _check_ws_authorization("onConnect", None, self.DEFAULT_SEPARATOR) + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/frigate/test/test_ws_outbound_filter.py b/frigate/test/test_ws_outbound_filter.py new file mode 100644 index 0000000000..ab1489da54 --- /dev/null +++ b/frigate/test/test_ws_outbound_filter.py @@ -0,0 +1,806 @@ +"""Tests for outbound WebSocket broadcast filtering.""" + +import json +import threading +import unittest +from types import SimpleNamespace +from typing import Any + +from frigate.comms.ws import ( + WebSocketClient, + _classify_outbound, + _collect_zone_names, + _extract_payload_camera, + _materialize_for_ws, + _ws_allowed_cameras, + _ws_is_unrestricted, +) +from frigate.config import FrigateConfig + + +def _build_config( + *, + extra_roles: dict[str, list[str]] | None = None, + extra_cameras: dict[str, dict[str, Any]] | None = None, + extra_zones: dict[str, dict[str, dict[str, Any]]] | None = None, +) -> FrigateConfig: + """Construct a FrigateConfig used by the outbound filter tests. + + The default fixture has three cameras: front_door, back_door, garage. + Restricted role "house_only" sees front_door + back_door but not garage. + """ + cameras: dict[str, dict[str, Any]] = { + "front_door": { + "ffmpeg": { + "inputs": [{"path": "rtsp://10.0.0.1:554/v", "roles": ["detect"]}], + }, + "detect": {"height": 1080, "width": 1920, "fps": 5}, + }, + "back_door": { + "ffmpeg": { + "inputs": [{"path": "rtsp://10.0.0.2:554/v", "roles": ["detect"]}], + }, + "detect": {"height": 1080, "width": 1920, "fps": 5}, + }, + "garage": { + "ffmpeg": { + "inputs": [{"path": "rtsp://10.0.0.3:554/v", "roles": ["detect"]}], + }, + "detect": {"height": 1080, "width": 1920, "fps": 5}, + }, + } + if extra_cameras: + cameras.update(extra_cameras) + if extra_zones: + for cam_name, zones in extra_zones.items(): + cameras[cam_name]["zones"] = zones + + roles = {"house_only": ["front_door", "back_door"]} + if extra_roles: + roles.update(extra_roles) + + return FrigateConfig( + mqtt={"host": "mqtt"}, + auth={"roles": roles}, + cameras=cameras, + ) + + +def _ws(role: str | None) -> Any: + """Build a fake ws4py-style websocket exposing ``environ``.""" + environ = {} if role is None else {"HTTP_REMOTE_ROLE": role} + return SimpleNamespace(environ=environ, terminated=False, sent=[]) + + +class TestClassifyOutbound(unittest.TestCase): + """The pure classifier — bucket every topic into a scope.""" + + def setUp(self): + self.config = _build_config( + extra_zones={"front_door": {"driveway": {"coordinates": "0,0,1,0,1,1,0,1"}}} + ) + self.all_cameras = set(self.config.cameras.keys()) + self.all_zones = _collect_zone_names(self.config) + + def _classify(self, topic: str) -> tuple[str, Any]: + return _classify_outbound(topic, self.all_cameras, self.all_zones) + + # --- Global allowlist --- + + def test_model_state_is_global(self): + self.assertEqual(self._classify("model_state"), ("global", None)) + + def test_profile_state_is_global(self): + self.assertEqual(self._classify("profile/state"), ("global", None)) + + def test_bare_notifications_state_is_global(self): + """The 2-segment ``notifications/state`` is global; the 3-segment + ``/notifications/state`` is camera-scoped (see below).""" + self.assertEqual(self._classify("notifications/state"), ("global", None)) + + def test_notification_test_is_global(self): + self.assertEqual(self._classify("notification_test"), ("global", None)) + + # --- Unrestricted-only --- + + def test_birdseye_layout_is_unrestricted_only(self): + self.assertEqual(self._classify("birdseye_layout"), ("unrestricted_only", None)) + + # --- Camera-prefixed --- + + def test_camera_state_topic_resolves_to_camera(self): + self.assertEqual( + self._classify("front_door/detect/state"), ("camera", "front_door") + ) + + def test_camera_motion_topic_resolves_to_camera(self): + self.assertEqual(self._classify("back_door/motion"), ("camera", "back_door")) + + def test_camera_per_notification_topic_resolves_to_camera(self): + self.assertEqual( + self._classify("front_door/notifications/state"), + ("camera", "front_door"), + ) + + def test_camera_label_counter_resolves_to_camera(self): + self.assertEqual(self._classify("front_door/person"), ("camera", "front_door")) + + def test_camera_object_mask_state_resolves_to_camera(self): + self.assertEqual( + self._classify("front_door/object_mask/zone_1/state"), + ("camera", "front_door"), + ) + + # --- Zone-prefixed --- + + def test_zone_aggregate_topic_is_unrestricted_only(self): + self.assertEqual(self._classify("driveway/person"), ("unrestricted_only", None)) + + def test_zone_all_topic_is_unrestricted_only(self): + self.assertEqual(self._classify("driveway/all"), ("unrestricted_only", None)) + + # --- Payload-camera --- + + def test_events_topic_marks_payload_camera_path(self): + self.assertEqual( + self._classify("events"), ("payload_camera", ("after", "camera")) + ) + + def test_reviews_topic_marks_payload_camera_path(self): + self.assertEqual( + self._classify("reviews"), ("payload_camera", ("after", "camera")) + ) + + def test_triggers_topic_marks_payload_camera_path(self): + self.assertEqual(self._classify("triggers"), ("payload_camera", ("camera",))) + + def test_tracked_object_update_marks_payload_camera_path(self): + self.assertEqual( + self._classify("tracked_object_update"), ("payload_camera", ("camera",)) + ) + + # --- Reshape --- + + def test_camera_activity_is_reshape_by_camera_key(self): + self.assertEqual( + self._classify("camera_activity"), ("reshape_by_camera_key", None) + ) + + def test_audio_detections_is_reshape_by_camera_key(self): + self.assertEqual( + self._classify("audio_detections"), ("reshape_by_camera_key", None) + ) + + def test_job_state_is_reshape_job_state(self): + self.assertEqual(self._classify("job_state"), ("reshape_job_state", None)) + + def test_stats_is_reshape_stats(self): + self.assertEqual(self._classify("stats"), ("reshape_stats", None)) + + # --- Fail-closed --- + + def test_unknown_topic_is_dropped(self): + self.assertEqual(self._classify("some_random_topic"), ("drop", None)) + + def test_unknown_camera_prefix_is_dropped(self): + self.assertEqual(self._classify("ghost_camera/detect/state"), ("drop", None)) + + +class TestCollectZoneNames(unittest.TestCase): + def test_zones_from_all_cameras(self): + config = _build_config( + extra_zones={ + "front_door": {"driveway": {"coordinates": "0,0,1,0,1,1,0,1"}}, + "back_door": {"yard": {"coordinates": "0,0,1,0,1,1,0,1"}}, + } + ) + self.assertEqual(_collect_zone_names(config), {"driveway", "yard"}) + + def test_no_zones_returns_empty(self): + self.assertEqual(_collect_zone_names(_build_config()), set()) + + +class TestExtractPayloadCamera(unittest.TestCase): + def test_extract_from_dict_path(self): + payload = {"after": {"camera": "front_door"}} + self.assertEqual( + _extract_payload_camera(payload, ("after", "camera")), "front_door" + ) + + def test_extract_from_json_string(self): + payload = json.dumps({"after": {"camera": "front_door"}}) + self.assertEqual( + _extract_payload_camera(payload, ("after", "camera")), "front_door" + ) + + def test_extract_single_segment_path(self): + self.assertEqual( + _extract_payload_camera({"camera": "garage"}, ("camera",)), "garage" + ) + + def test_missing_key_returns_none(self): + self.assertIsNone(_extract_payload_camera({}, ("after", "camera"))) + + def test_malformed_json_returns_none(self): + self.assertIsNone(_extract_payload_camera("not-json", ("camera",))) + + def test_non_string_camera_returns_none(self): + self.assertIsNone(_extract_payload_camera({"camera": 42}, ("camera",))) + + +class TestWsRoleHelpers(unittest.TestCase): + def setUp(self): + self.config = _build_config() + + def test_admin_is_unrestricted(self): + self.assertTrue(_ws_is_unrestricted(_ws("admin"), self.config)) + + def test_viewer_is_unrestricted(self): + self.assertTrue(_ws_is_unrestricted(_ws("viewer"), self.config)) + + def test_restricted_role_is_not_unrestricted(self): + self.assertFalse(_ws_is_unrestricted(_ws("house_only"), self.config)) + + def test_missing_role_is_not_unrestricted(self): + self.assertFalse(_ws_is_unrestricted(_ws(None), self.config)) + + def test_unknown_role_is_not_unrestricted(self): + self.assertFalse(_ws_is_unrestricted(_ws("ghost"), self.config)) + + def test_admin_allowed_cameras_is_all(self): + self.assertEqual( + _ws_allowed_cameras(_ws("admin"), self.config), + {"front_door", "back_door", "garage"}, + ) + + def test_restricted_role_allowed_cameras_is_subset(self): + self.assertEqual( + _ws_allowed_cameras(_ws("house_only"), self.config), + {"front_door", "back_door"}, + ) + + def test_missing_role_allowed_cameras_is_empty(self): + self.assertEqual(_ws_allowed_cameras(_ws(None), self.config), set()) + + def test_multi_role_union_grants_widest(self): + self.assertEqual( + _ws_allowed_cameras(_ws("house_only,admin"), self.config), + {"front_door", "back_door", "garage"}, + ) + + +class TestMaterializeForWs(unittest.TestCase): + def setUp(self): + self.config = _build_config( + extra_zones={"front_door": {"driveway": {"coordinates": "0,0,1,0,1,1,0,1"}}} + ) + self.all_cameras = set(self.config.cameras.keys()) + self.all_zones = _collect_zone_names(self.config) + + def _materialize(self, ws: Any, topic: str, payload: Any) -> str | None: + scope = _classify_outbound(topic, self.all_cameras, self.all_zones) + from frigate.comms.ws import _parse_json_payload + + parsed = ( + _parse_json_payload(payload) + if scope[0] + in ( + "payload_camera", + "reshape_by_camera_key", + "reshape_job_state", + "reshape_stats", + ) + else None + ) + full = json.dumps({"topic": topic, "payload": payload}) + return _materialize_for_ws(ws, topic, full, scope, parsed, self.config) + + # --- Globals: every authenticated client sees them --- + + def test_globals_reach_admin(self): + self.assertIsNotNone(self._materialize(_ws("admin"), "model_state", "{}")) + + def test_globals_reach_restricted(self): + self.assertIsNotNone(self._materialize(_ws("house_only"), "model_state", "{}")) + + def test_globals_reach_no_role(self): + """A missing role header still gets globals (matches viewer-default + for inbound).""" + self.assertIsNotNone(self._materialize(_ws(None), "model_state", "{}")) + + # --- Unknown topic dropped for everyone --- + + def test_unknown_topic_dropped_for_admin(self): + self.assertIsNone(self._materialize(_ws("admin"), "rogue_topic", "{}")) + + # --- Non-global topics require a role (fail-closed) --- + + def test_no_role_blocked_from_camera_topic(self): + self.assertIsNone(self._materialize(_ws(None), "front_door/detect/state", "ON")) + + def test_no_role_blocked_from_events(self): + payload = json.dumps({"after": {"camera": "front_door"}}) + self.assertIsNone(self._materialize(_ws(None), "events", payload)) + + # --- Camera-prefixed --- + + def test_restricted_role_sees_allowed_camera(self): + self.assertIsNotNone( + self._materialize(_ws("house_only"), "front_door/detect/state", "ON") + ) + + def test_restricted_role_blocked_from_unallowed_camera(self): + self.assertIsNone( + self._materialize(_ws("house_only"), "garage/detect/state", "ON") + ) + + def test_admin_sees_all_camera_topics(self): + self.assertIsNotNone( + self._materialize(_ws("admin"), "garage/detect/state", "ON") + ) + + # --- Unrestricted-only (zones, birdseye_layout) --- + + def test_zone_aggregate_blocked_for_restricted(self): + self.assertIsNone(self._materialize(_ws("house_only"), "driveway/person", 3)) + + def test_zone_aggregate_visible_to_admin(self): + self.assertIsNotNone(self._materialize(_ws("admin"), "driveway/person", 3)) + + def test_birdseye_layout_blocked_for_restricted(self): + payload = json.dumps( + {"front_door": {"x": 0, "y": 0, "width": 100, "height": 100}} + ) + self.assertIsNone( + self._materialize(_ws("house_only"), "birdseye_layout", payload) + ) + + def test_birdseye_layout_visible_to_admin(self): + payload = json.dumps( + {"front_door": {"x": 0, "y": 0, "width": 100, "height": 100}} + ) + self.assertIsNotNone( + self._materialize(_ws("admin"), "birdseye_layout", payload) + ) + + # --- Payload-camera --- + + def test_events_filtered_by_payload_camera(self): + payload = json.dumps({"after": {"camera": "garage"}}) + self.assertIsNone(self._materialize(_ws("house_only"), "events", payload)) + + payload = json.dumps({"after": {"camera": "front_door"}}) + self.assertIsNotNone(self._materialize(_ws("house_only"), "events", payload)) + + def test_events_with_missing_camera_dropped(self): + payload = json.dumps({"after": {}}) + self.assertIsNone(self._materialize(_ws("house_only"), "events", payload)) + + def test_triggers_filtered_by_payload_camera(self): + payload = json.dumps({"name": "t1", "camera": "garage"}) + self.assertIsNone(self._materialize(_ws("house_only"), "triggers", payload)) + + # --- Reshape: dict keyed by camera --- + + def test_camera_activity_filtered_to_allowed_keys(self): + payload = json.dumps( + { + "front_door": {"objects": 1}, + "back_door": {"objects": 0}, + "garage": {"objects": 2}, + } + ) + message = self._materialize(_ws("house_only"), "camera_activity", payload) + self.assertIsNotNone(message) + envelope = json.loads(message) # type: ignore[arg-type] + inner = json.loads(envelope["payload"]) + self.assertEqual(set(inner.keys()), {"front_door", "back_door"}) + self.assertNotIn("garage", inner) + + def test_camera_activity_unchanged_for_admin(self): + payload = json.dumps({"front_door": {}, "back_door": {}, "garage": {}}) + message = self._materialize(_ws("admin"), "camera_activity", payload) + envelope = json.loads(message) # type: ignore[arg-type] + self.assertEqual(envelope["payload"], payload) + + def test_camera_activity_with_no_allowed_returns_none(self): + payload = json.dumps({"garage": {"objects": 2}}) + self.assertIsNone( + self._materialize(_ws("house_only"), "camera_activity", payload) + ) + + def test_audio_detections_filtered_to_allowed_keys(self): + payload = json.dumps({"front_door": {"bark": {}}, "garage": {"speech": {}}}) + message = self._materialize(_ws("house_only"), "audio_detections", payload) + envelope = json.loads(message) # type: ignore[arg-type] + inner = json.loads(envelope["payload"]) + self.assertEqual(set(inner.keys()), {"front_door"}) + + # --- Reshape: job_state --- + + def test_job_state_admin_sees_full_payload(self): + payload = json.dumps( + { + "motion_search": {"job_type": "motion_search", "camera": "garage"}, + "media_sync": {"job_type": "media_sync"}, + } + ) + message = self._materialize(_ws("admin"), "job_state", payload) + envelope = json.loads(message) # type: ignore[arg-type] + self.assertEqual(envelope["payload"], payload) + + def test_job_state_restricted_keeps_allowed_camera_jobs(self): + """Top-level camera field on a job entry: drop if not allowed.""" + payload = json.dumps( + { + "motion_search": {"job_type": "motion_search", "camera": "front_door"}, + "vlm_watch": {"job_type": "vlm_watch", "camera": "garage"}, + } + ) + message = self._materialize(_ws("house_only"), "job_state", payload) + envelope = json.loads(message) # type: ignore[arg-type] + inner = json.loads(envelope["payload"]) + self.assertIn("motion_search", inner) + self.assertNotIn("vlm_watch", inner) + + def test_job_state_export_results_jobs_filtered_per_recipient(self): + """The aggregated export broadcast nests per-camera sub-jobs under + ``results.jobs``. Restricted users must only see allowed entries.""" + payload = json.dumps( + { + "export": { + "job_type": "export", + "status": "running", + "results": { + "jobs": [ + {"job_type": "export", "camera": "front_door", "id": "a"}, + {"job_type": "export", "camera": "garage", "id": "b"}, + {"job_type": "export", "camera": "back_door", "id": "c"}, + ] + }, + } + } + ) + message = self._materialize(_ws("house_only"), "job_state", payload) + envelope = json.loads(message) # type: ignore[arg-type] + inner = json.loads(envelope["payload"]) + self.assertIn("export", inner) + kept_cameras = [j["camera"] for j in inner["export"]["results"]["jobs"]] + self.assertEqual(kept_cameras, ["front_door", "back_door"]) + # Sibling fields like ``status`` must survive reshaping. + self.assertEqual(inner["export"]["status"], "running") + + def test_job_state_export_entry_dropped_when_no_jobs_allowed(self): + payload = json.dumps( + { + "export": { + "job_type": "export", + "status": "running", + "results": { + "jobs": [ + {"job_type": "export", "camera": "garage", "id": "b"}, + ] + }, + } + } + ) + self.assertIsNone(self._materialize(_ws("house_only"), "job_state", payload)) + + # --- Reshape: stats --- + + def _stats_payload(self) -> str: + return json.dumps( + { + "cameras": { + "front_door": {"camera_fps": 5.0, "pid": 1234}, + "back_door": {"camera_fps": 5.0, "pid": 1235}, + "garage": {"camera_fps": 5.0, "pid": 1236}, + }, + "detectors": {"cpu": {"detection_start": 0.0, "inference_speed": 10}}, + "service": {"uptime": 12345, "version": "0.16.0"}, + "camera_fps": 15.0, + "detection_fps": 6.0, + } + ) + + def test_stats_admin_sees_full_payload(self): + message = self._materialize(_ws("admin"), "stats", self._stats_payload()) + envelope = json.loads(message) # type: ignore[arg-type] + self.assertEqual(envelope["payload"], self._stats_payload()) + + def test_stats_restricted_filters_camera_keys_but_keeps_aggregates(self): + message = self._materialize(_ws("house_only"), "stats", self._stats_payload()) + envelope = json.loads(message) # type: ignore[arg-type] + inner = json.loads(envelope["payload"]) + self.assertEqual(set(inner["cameras"].keys()), {"front_door", "back_door"}) + self.assertNotIn("garage", inner["cameras"]) + # Aggregates, detectors, and service block must survive. + self.assertEqual(inner["camera_fps"], 15.0) + self.assertEqual(inner["detection_fps"], 6.0) + self.assertIn("detectors", inner) + self.assertIn("service", inner) + + def test_stats_restricted_with_no_allowed_cameras_still_sends_aggregates(self): + """A restricted role whose allow-list contains only nonexistent cameras + still gets the global aggregates and service block.""" + config = _build_config(extra_roles={"empty_role": ["nonexistent"]}) + from frigate.comms.ws import _parse_json_payload + + payload = self._stats_payload() + all_cameras = set(config.cameras.keys()) + scope = _classify_outbound("stats", all_cameras, _collect_zone_names(config)) + full = json.dumps({"topic": "stats", "payload": payload}) + message = _materialize_for_ws( + _ws("empty_role"), + "stats", + full, + scope, + _parse_json_payload(payload), + config, + ) + envelope = json.loads(message) # type: ignore[arg-type] + inner = json.loads(envelope["payload"]) + self.assertEqual(inner["cameras"], {}) + self.assertEqual(inner["camera_fps"], 15.0) + self.assertIn("service", inner) + + def test_stats_without_cameras_key_passes_through(self): + """A malformed stats payload missing the cameras sub-dict shouldn't + break delivery for restricted users — fall back to the full message.""" + payload = json.dumps({"detectors": {}, "service": {}, "detection_fps": 0.0}) + message = self._materialize(_ws("house_only"), "stats", payload) + envelope = json.loads(message) # type: ignore[arg-type] + self.assertEqual(envelope["payload"], payload) + + def test_job_state_export_entry_unchanged_for_admin(self): + payload = json.dumps( + { + "export": { + "job_type": "export", + "status": "running", + "results": { + "jobs": [ + {"job_type": "export", "camera": "garage", "id": "b"}, + ] + }, + } + } + ) + message = self._materialize(_ws("admin"), "job_state", payload) + envelope = json.loads(message) # type: ignore[arg-type] + self.assertEqual(envelope["payload"], payload) + + def test_job_state_restricted_keeps_global_jobs(self): + """media_sync has no camera field; restricted users still see it.""" + payload = json.dumps( + {"media_sync": {"job_type": "media_sync", "status": "running"}} + ) + message = self._materialize(_ws("house_only"), "job_state", payload) + envelope = json.loads(message) # type: ignore[arg-type] + inner = json.loads(envelope["payload"]) + self.assertIn("media_sync", inner) + + def test_job_state_debug_replay_nested_source_camera_filtered(self): + """debug_replay puts ``source_camera`` inside ``results`` (see + jobs/debug_replay.py:to_dict). Restricted users must not receive + entries whose nested source camera is unauthorized.""" + payload = json.dumps( + { + "debug_replay": { + "id": "bd6dc99d-a7d", + "job_type": "debug_replay", + "status": "running", + "start_time": 1.0, + "end_time": None, + "error_message": None, + "results": { + "current_step": "preparing_clip", + "progress_percent": 0.0, + "source_camera": "garage", + "replay_camera_name": "_replay_garage", + "start_ts": 0.0, + "end_ts": 1.0, + }, + } + } + ) + self.assertIsNone(self._materialize(_ws("house_only"), "job_state", payload)) + + def test_job_state_debug_replay_nested_source_camera_allowed(self): + payload = json.dumps( + { + "debug_replay": { + "id": "bd6dc99d-a7d", + "job_type": "debug_replay", + "status": "running", + "results": { + "source_camera": "front_door", + "replay_camera_name": "_replay_front_door", + }, + } + } + ) + message = self._materialize(_ws("house_only"), "job_state", payload) + envelope = json.loads(message) # type: ignore[arg-type] + inner = json.loads(envelope["payload"]) + self.assertIn("debug_replay", inner) + self.assertEqual( + inner["debug_replay"]["results"]["source_camera"], "front_door" + ) + + +class _FakeManager: + """Minimal ws4py manager: holds clients and exposes a lock.""" + + def __init__(self, clients: list[Any]) -> None: + self.lock = threading.Lock() + self.websockets = {id(c): c for c in clients} + + +class _FakeServer: + def __init__(self, manager: _FakeManager) -> None: + self.manager = manager + + +class _CapturingWs(SimpleNamespace): + """Fake ws4py client that records what was sent.""" + + def __init__(self, role: str | None) -> None: + environ = {} if role is None else {"HTTP_REMOTE_ROLE": role} + super().__init__(environ=environ, terminated=False) + self.sent: list[str] = [] + + def send(self, message: str) -> None: # noqa: D401 - matches ws4py API + self.sent.append(message) + + +class TestPublishEndToEnd(unittest.TestCase): + """Drive WebSocketClient.publish() against fake clients with different roles.""" + + def setUp(self): + self.config = _build_config( + extra_zones={"front_door": {"driveway": {"coordinates": "0,0,1,0,1,1,0,1"}}} + ) + self.admin = _CapturingWs("admin") + self.restricted = _CapturingWs("house_only") + self.anon = _CapturingWs(None) + self.client = WebSocketClient(self.config) + self.client.websocket_server = _FakeServer( + _FakeManager([self.admin, self.restricted, self.anon]) + ) + + def _payloads(self, ws: _CapturingWs) -> list[Any]: + return [json.loads(m)["payload"] for m in ws.sent] + + def test_global_topic_reaches_everyone(self): + self.client.publish("model_state", "{}") + self.assertEqual(len(self.admin.sent), 1) + self.assertEqual(len(self.restricted.sent), 1) + self.assertEqual(len(self.anon.sent), 1) + + def test_camera_topic_filters_restricted_recipient(self): + self.client.publish("garage/detect/state", "ON") + self.assertEqual(len(self.admin.sent), 1) + self.assertEqual(len(self.restricted.sent), 0) + self.assertEqual(len(self.anon.sent), 0) + + def test_camera_topic_allows_restricted_recipient_for_allowed_camera(self): + self.client.publish("front_door/detect/state", "ON") + self.assertEqual(len(self.admin.sent), 1) + self.assertEqual(len(self.restricted.sent), 1) + self.assertEqual(len(self.anon.sent), 0) + + def test_events_payload_filtered(self): + self.client.publish("events", json.dumps({"after": {"camera": "garage"}})) + self.assertEqual(len(self.admin.sent), 1) + self.assertEqual(len(self.restricted.sent), 0) + + def test_camera_activity_reshaped_per_recipient(self): + self.client.publish( + "camera_activity", + json.dumps( + { + "front_door": {"objects": 1}, + "back_door": {"objects": 0}, + "garage": {"objects": 2}, + } + ), + ) + self.assertEqual(len(self.admin.sent), 1) + admin_inner = json.loads(self._payloads(self.admin)[0]) + self.assertEqual(set(admin_inner.keys()), {"front_door", "back_door", "garage"}) + + self.assertEqual(len(self.restricted.sent), 1) + restricted_inner = json.loads(self._payloads(self.restricted)[0]) + self.assertEqual(set(restricted_inner.keys()), {"front_door", "back_door"}) + + self.assertEqual(len(self.anon.sent), 0) + + def test_birdseye_layout_blocked_for_restricted_and_anon(self): + self.client.publish( + "birdseye_layout", + json.dumps({"front_door": {"x": 0, "y": 0, "width": 1, "height": 1}}), + ) + self.assertEqual(len(self.admin.sent), 1) + self.assertEqual(len(self.restricted.sent), 0) + self.assertEqual(len(self.anon.sent), 0) + + def test_zone_aggregate_blocked_for_restricted(self): + self.client.publish("driveway/person", 2) + self.assertEqual(len(self.admin.sent), 1) + self.assertEqual(len(self.restricted.sent), 0) + + def test_stats_reshaped_per_recipient(self): + self.client.publish( + "stats", + json.dumps( + { + "cameras": { + "front_door": {"camera_fps": 5.0}, + "garage": {"camera_fps": 5.0}, + }, + "service": {"uptime": 1}, + "camera_fps": 10.0, + } + ), + ) + self.assertEqual(len(self.admin.sent), 1) + admin_inner = json.loads(self._payloads(self.admin)[0]) + self.assertEqual(set(admin_inner["cameras"].keys()), {"front_door", "garage"}) + + self.assertEqual(len(self.restricted.sent), 1) + restricted_inner = json.loads(self._payloads(self.restricted)[0]) + self.assertEqual(set(restricted_inner["cameras"].keys()), {"front_door"}) + self.assertEqual(restricted_inner["camera_fps"], 10.0) + self.assertIn("service", restricted_inner) + + # Stats requires a role; anonymous gets nothing. + self.assertEqual(len(self.anon.sent), 0) + + def test_export_job_state_filters_results_jobs_per_recipient(self): + self.client.publish( + "job_state", + json.dumps( + { + "export": { + "job_type": "export", + "status": "running", + "results": { + "jobs": [ + {"camera": "front_door", "id": "a"}, + {"camera": "garage", "id": "b"}, + ] + }, + } + } + ), + ) + self.assertEqual(len(self.admin.sent), 1) + admin_inner = json.loads(self._payloads(self.admin)[0]) + self.assertEqual( + [j["camera"] for j in admin_inner["export"]["results"]["jobs"]], + ["front_door", "garage"], + ) + + self.assertEqual(len(self.restricted.sent), 1) + restricted_inner = json.loads(self._payloads(self.restricted)[0]) + self.assertEqual( + [j["camera"] for j in restricted_inner["export"]["results"]["jobs"]], + ["front_door"], + ) + + def test_unknown_topic_dropped_for_everyone(self): + self.client.publish("some_rogue_topic", "data") + self.assertEqual(self.admin.sent, []) + self.assertEqual(self.restricted.sent, []) + self.assertEqual(self.anon.sent, []) + + def test_terminated_client_is_skipped(self): + self.restricted.terminated = True + self.client.publish("front_door/detect/state", "ON") + self.assertEqual(len(self.admin.sent), 1) + self.assertEqual(len(self.restricted.sent), 0) + + +if __name__ == "__main__": + unittest.main() diff --git a/frigate/track/object_processing.py b/frigate/track/object_processing.py index 3fae8da6f4..5832d8cdb8 100644 --- a/frigate/track/object_processing.py +++ b/frigate/track/object_processing.py @@ -357,6 +357,9 @@ def get_current_frame( def get_current_frame_time(self, camera: str) -> float: """Returns the latest frame time for a given camera.""" + if camera not in self.camera_states: + return 0.0 + return self.camera_states[camera].current_frame_time def set_sub_label( @@ -773,7 +776,9 @@ def run(self) -> None: logger.debug(f"Camera {camera} disabled, skipping update") continue - camera_state = self.camera_states[camera] + camera_state = self.camera_states.get(camera) + if camera_state is None: + continue camera_state.update( frame_name, frame_time, current_tracked_objects, motion_boxes, regions diff --git a/frigate/track/tracked_object.py b/frigate/track/tracked_object.py index 4fda92afd0..03117df692 100644 --- a/frigate/track/tracked_object.py +++ b/frigate/track/tracked_object.py @@ -330,7 +330,12 @@ def update( if self.obj_data["position_changes"] != obj_data["position_changes"]: significant_change = True - if self.obj_data["attributes"] != obj_data["attributes"]: + # disappearance of a per-frame attribute can be caused by detection + # skipping the object on a frame (stationary objects on non-interval + # frames), so only flag when a new attribute label appears + prev_labels = {a["label"] for a in self.obj_data["attributes"]} + curr_labels = {a["label"] for a in obj_data["attributes"]} + if curr_labels - prev_labels: significant_change = True # if the state changed between stationary and active @@ -526,8 +531,7 @@ def write_thumbnail_to_disk(self) -> None: directory = os.path.join(THUMB_DIR, self.camera_config.name) - if not os.path.exists(directory): - os.makedirs(directory) + os.makedirs(directory, exist_ok=True) thumb_bytes = self.get_thumbnail("webp") diff --git a/frigate/util/classification.py b/frigate/util/classification.py index ada3ee1f71..66bacdeb04 100644 --- a/frigate/util/classification.py +++ b/frigate/util/classification.py @@ -24,8 +24,12 @@ from frigate.models import Event, Recordings, ReviewSegment from frigate.types import ModelStatusTypesEnum from frigate.util.downloader import ModelDownloader -from frigate.util.file import get_event_thumbnail_bytes -from frigate.util.image import get_image_from_recording +from frigate.util.file import get_event_thumbnail_bytes, load_event_snapshot_image +from frigate.util.image import ( + calculate_region, + get_image_from_recording, + relative_box_to_absolute, +) from frigate.util.process import FrigateProcess BATCH_SIZE = 16 @@ -713,7 +717,7 @@ def collect_object_classification_examples( This function: 1. Queries events for the specified label 2. Selects 100 balanced events across different cameras and times - 3. Retrieves thumbnails for selected events (with 33% center crop applied) + 3. Crops each event's clean snapshot around the object bounding box 4. Selects 24 most visually distinct thumbnails 5. Saves to dataset directory @@ -832,66 +836,106 @@ def _select_balanced_events( def _extract_event_thumbnails(events: list[Event], output_dir: str) -> list[str]: """ - Extract thumbnails from events and save to disk. + Extract a training image for each event. + + Preferred path: load the full-frame clean snapshot and crop around the + stored bounding box with the same calculate_region(..., max(w, h), 1.0) + call the live ObjectClassificationProcessor uses, so wizard examples + are framed like inference-time inputs. + + Fallback: if no clean snapshot exists (snapshots disabled, or only a + legacy annotated JPG is on disk), center-crop the stored thumbnail + using a step ladder sized from the box/region area ratio. Args: events: List of Event objects - output_dir: Directory to save thumbnails + output_dir: Directory to save crops Returns: - List of paths to successfully extracted thumbnail images + List of paths to successfully extracted images """ - thumbnail_paths = [] + image_paths = [] for idx, event in enumerate(events): try: - thumbnail_bytes = get_event_thumbnail_bytes(event) - - if thumbnail_bytes: - nparr = np.frombuffer(thumbnail_bytes, np.uint8) - img = cv2.imdecode(nparr, cv2.IMREAD_COLOR) - - if img is not None: - height, width = img.shape[:2] - - crop_size = 1.0 - if event.data and "box" in event.data and "region" in event.data: - box = event.data["box"] - region = event.data["region"] - - if len(box) == 4 and len(region) == 4: - box_w, box_h = box[2], box[3] - region_w, region_h = region[2], region[3] - - box_area = (box_w * box_h) / (region_w * region_h) - - if box_area < 0.05: - crop_size = 0.4 - elif box_area < 0.10: - crop_size = 0.5 - elif box_area < 0.20: - crop_size = 0.65 - elif box_area < 0.35: - crop_size = 0.80 - else: - crop_size = 0.95 - - crop_width = int(width * crop_size) - crop_height = int(height * crop_size) - - x1 = (width - crop_width) // 2 - y1 = (height - crop_height) // 2 - x2 = x1 + crop_width - y2 = y1 + crop_height - - cropped = img[y1:y2, x1:x2] - resized = cv2.resize(cropped, (224, 224)) - output_path = os.path.join(output_dir, f"thumbnail_{idx:04d}.jpg") - cv2.imwrite(output_path, resized) - thumbnail_paths.append(output_path) + img = _load_event_classification_crop(event) + if img is None: + continue + + resized = cv2.resize(img, (224, 224)) + output_path = os.path.join(output_dir, f"thumbnail_{idx:04d}.jpg") + cv2.imwrite(output_path, resized) + image_paths.append(output_path) except Exception as e: - logger.debug(f"Failed to extract thumbnail for event {event.id}: {e}") + logger.debug(f"Failed to extract image for event {event.id}: {e}") continue - return thumbnail_paths + return image_paths + + +def _load_event_classification_crop(event: Event) -> np.ndarray | None: + """Prefer a snapshot-based object crop; fall back to a center-cropped thumbnail.""" + if event.data and "box" in event.data: + snapshot, _ = load_event_snapshot_image(event, clean_only=True) + if snapshot is not None: + abs_box = relative_box_to_absolute(snapshot.shape, event.data["box"]) + if abs_box is not None: + xmin, ymin, xmax, ymax = abs_box + box_w = xmax - xmin + box_h = ymax - ymin + if box_w > 0 and box_h > 0: + x1, y1, x2, y2 = calculate_region( + snapshot.shape, + xmin, + ymin, + xmax, + ymax, + max(box_w, box_h), + 1.0, + ) + cropped = snapshot[y1:y2, x1:x2] + if cropped.size > 0: + return cropped + + thumbnail_bytes = get_event_thumbnail_bytes(event) + if not thumbnail_bytes: + return None + + nparr = np.frombuffer(thumbnail_bytes, np.uint8) + img = cv2.imdecode(nparr, cv2.IMREAD_COLOR) + if img is None or img.size == 0: + return None + + height, width = img.shape[:2] + crop_size = 1.0 + + if event.data and "box" in event.data and "region" in event.data: + box = event.data["box"] + region = event.data["region"] + + if len(box) == 4 and len(region) == 4: + box_w, box_h = box[2], box[3] + region_w, region_h = region[2], region[3] + box_area = (box_w * box_h) / (region_w * region_h) + + if box_area < 0.05: + crop_size = 0.4 + elif box_area < 0.10: + crop_size = 0.5 + elif box_area < 0.20: + crop_size = 0.65 + elif box_area < 0.35: + crop_size = 0.80 + else: + crop_size = 0.95 + + crop_width = int(width * crop_size) + crop_height = int(height * crop_size) + x1 = (width - crop_width) // 2 + y1 = (height - crop_height) // 2 + cropped = img[y1 : y1 + crop_height, x1 : x1 + crop_width] + if cropped.size == 0: + return None + + return cropped diff --git a/frigate/util/config.py b/frigate/util/config.py index 578ec18527..5e5d2a0fc8 100644 --- a/frigate/util/config.py +++ b/frigate/util/config.py @@ -8,7 +8,7 @@ from ruamel.yaml import YAML -from frigate.const import CONFIG_DIR, EXPORT_DIR +from frigate.const import CONFIG_DIR, EXPORT_DIR, REDACTED_CREDENTIAL_SENTINEL from frigate.util.builtin import deep_merge from frigate.util.services import get_video_properties @@ -18,6 +18,21 @@ DEFAULT_CONFIG_FILE = os.path.join(CONFIG_DIR, "config.yml") +def redact_credential(obj: dict[str, Any], key: str) -> None: + """Replace obj[key] with the redaction sentinel if a value is saved, else drop. + + Used when shaping the /config response so saved credentials never leave + the server. The frontend recognizes REDACTED_CREDENTIAL_SENTINEL, renders + the field as empty with a "saved — leave blank to keep" placeholder, and + /config/set strips it from any incoming payload so the YAML value is + preserved when the user doesn't touch the field. + """ + if obj.get(key): + obj[key] = REDACTED_CREDENTIAL_SENTINEL + else: + obj.pop(key, None) + + def find_config_file() -> str: config_path = os.environ.get("CONFIG_FILE", DEFAULT_CONFIG_FILE) @@ -492,7 +507,7 @@ def migrate_018_0(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any] genai = new_config.get("genai") if genai and genai.get("provider"): - genai["roles"] = ["embeddings", "vision", "tools"] + genai["roles"] = ["embeddings", "descriptions", "chat"] new_config["genai"] = {"default": genai} # Remove deprecated sync_recordings from global record config @@ -608,11 +623,14 @@ def migrate_018_0(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any] def get_relative_coordinates( - mask: Optional[Union[str, list]], frame_shape: tuple[int, int] + mask: Optional[Union[str, list]], + frame_shape: tuple[int, int], + camera_name: str = "", ) -> Union[str, list]: # masks and zones are saved as relative coordinates # we know if any points are > 1 then it is using the # old native resolution coordinates + where = f" for camera {camera_name}" if camera_name else "" if mask: if isinstance(mask, list) and any(x > "1.0" for x in mask[0].split(",")): relative_masks = [] @@ -627,7 +645,7 @@ def get_relative_coordinates( if x > frame_shape[1] or y > frame_shape[0]: logger.error( - f"Not applying mask due to invalid coordinates. {x},{y} is outside of the detection resolution {frame_shape[1]}x{frame_shape[0]}. Use the editor in the UI to correct the mask." + f"Not applying mask due to invalid coordinates{where}. {x},{y} is outside of the detection resolution {frame_shape[1]}x{frame_shape[0]}. Use the editor in the UI to correct the mask." ) continue @@ -650,7 +668,7 @@ def get_relative_coordinates( if x > frame_shape[1] or y > frame_shape[0]: logger.error( - f"Not applying mask due to invalid coordinates. {x},{y} is outside of the detection resolution {frame_shape[1]}x{frame_shape[0]}. Use the editor in the UI to correct the mask." + f"Not applying mask due to invalid coordinates{where}. {x},{y} is outside of the detection resolution {frame_shape[1]}x{frame_shape[0]}. Use the editor in the UI to correct the mask." ) return [] @@ -770,6 +788,34 @@ def apply_section_update(camera_config, section: str, update: dict) -> Optional[ ) camera_config.objects = new_objects + elif section == "detect": + # apply detect first so frame_shape reflects the new resolution + # before we rebuild mask-dependent runtime configs below + merged = deep_merge(current.model_dump(), update, override=True) + camera_config.detect = current.__class__.model_validate(merged) + + new_frame_shape = camera_config.frame_shape + + # rebuild motion's rasterized_mask at the new frame_shape + if camera_config.motion is not None: + camera_config.motion = RuntimeMotionConfig( + frame_shape=new_frame_shape, + **camera_config.motion.model_dump(exclude_unset=True), + ) + + # rebuild per-object filter masks at the new frame_shape + for obj_name, filt in camera_config.objects.filters.items(): + merged_mask = dict(filt.mask) + if camera_config.objects.mask: + for gid, gmask in camera_config.objects.mask.items(): + merged_mask[f"global_{gid}"] = gmask + + camera_config.objects.filters[obj_name] = RuntimeFilterConfig( + frame_shape=new_frame_shape, + mask=merged_mask, + **filt.model_dump(exclude_unset=True, exclude={"mask", "raw_mask"}), + ) + else: merged = deep_merge(current.model_dump(), update, override=True) setattr(camera_config, section, current.__class__.model_validate(merged)) diff --git a/frigate/util/ffmpeg.py b/frigate/util/ffmpeg.py index 9abacd4ed6..9f4c5569ab 100644 --- a/frigate/util/ffmpeg.py +++ b/frigate/util/ffmpeg.py @@ -2,8 +2,9 @@ import logging import subprocess as sp -from typing import Any +from typing import Any, Callable, Optional +from frigate.const import PROCESS_PRIORITY_LOW from frigate.log import LogPipe @@ -46,3 +47,124 @@ def start_or_restart_ffmpeg( start_new_session=True, ) return process + + +logger = logging.getLogger(__name__) + + +def inject_progress_flags(cmd: list[str]) -> list[str]: + """Insert `-progress pipe:2 -nostats` immediately before the output path. + + `-progress pipe:2` writes structured key=value lines to stderr; + `-nostats` suppresses the noisy default stats output. The output path + is conventionally the last token in an FFmpeg argv. + """ + if not cmd: + return cmd + return cmd[:-1] + ["-progress", "pipe:2", "-nostats", cmd[-1]] + + +def run_ffmpeg_with_progress( + cmd: list[str], + *, + expected_duration_seconds: float, + on_progress: Optional[Callable[[float], None]] = None, + stdin_payload: Optional[str] = None, + process_started: Optional[Callable[[sp.Popen], None]] = None, + use_low_priority: bool = True, +) -> tuple[int, str]: + """Run an ffmpeg command, streaming progress via `-progress pipe:2`. + + Args: + cmd: ffmpeg argv. Output path must be the last token. + expected_duration_seconds: Duration of the expected output clip in + seconds. Used to convert ffmpeg's `out_time_us` into a percent. + on_progress: Optional callback invoked with a percent in [0, 100]. + Called once with 0.0 at start, again on each `out_time_us=` + stderr line, and once with 100.0 on `progress=end`. + stdin_payload: Optional string written to ffmpeg stdin (used by + export for concat playlists). + process_started: Optional callback invoked with the live `Popen` + once spawned — lets callers store the ref for cancellation. + use_low_priority: When True, prepend `nice -n PROCESS_PRIORITY_LOW` + so concat doesn't starve detection. + + Returns: + Tuple of `(returncode, captured_stderr)`. Stdout is left attached + to the parent process to avoid buffer-full deadlocks. + """ + full_cmd = inject_progress_flags(cmd) + if use_low_priority: + full_cmd = ["nice", "-n", str(PROCESS_PRIORITY_LOW)] + full_cmd + + def emit(percent: float) -> None: + if on_progress is None: + return + try: + on_progress(max(0.0, min(100.0, percent))) + except Exception: + logger.exception("FFmpeg progress callback failed") + + emit(0.0) + + proc = sp.Popen( + full_cmd, + stdin=sp.PIPE if stdin_payload is not None else None, + stderr=sp.PIPE, + text=True, + encoding="ascii", + errors="replace", + ) + if process_started is not None: + try: + process_started(proc) + except Exception: + logger.exception("FFmpeg process_started callback failed") + + if stdin_payload is not None and proc.stdin is not None: + try: + proc.stdin.write(stdin_payload) + except (BrokenPipeError, OSError): + pass + finally: + try: + proc.stdin.close() + except (BrokenPipeError, OSError): + pass + + captured: list[str] = [] + if proc.stderr is not None: + try: + for raw_line in proc.stderr: + captured.append(raw_line) + line = raw_line.strip() + if not line: + continue + if line.startswith("out_time_us="): + if expected_duration_seconds <= 0: + continue + try: + out_time_us = int(line.split("=", 1)[1]) + except (ValueError, IndexError): + continue + if out_time_us < 0: + continue + out_seconds = out_time_us / 1_000_000.0 + emit((out_seconds / expected_duration_seconds) * 100.0) + elif line == "progress=end": + emit(100.0) + break + except Exception: + logger.exception("Failed reading FFmpeg progress stream") + + proc.wait() + + if proc.stderr is not None: + try: + remaining = proc.stderr.read() + if remaining: + captured.append(remaining) + except Exception: + pass + + return proc.returncode or 0, "".join(captured) diff --git a/frigate/util/image.py b/frigate/util/image.py index 2d2133c6b8..d2832d97a0 100644 --- a/frigate/util/image.py +++ b/frigate/util/image.py @@ -1089,10 +1089,25 @@ def write(self, name: str) -> Optional[memoryview]: def get(self, name: str, shape) -> Optional[np.ndarray]: try: - if name in self.shm_store: - shm = self.shm_store[name] - else: + required = int(np.prod(shape)) + shm = self.shm_store.get(name) + if shm is not None and shm.size != required: + # stale cached ref from a same-name recreate — drop and reopen + try: + shm.close() + except Exception: + pass + self.shm_store.pop(name, None) + shm = None + if shm is None: shm = UntrackedSharedMemory(name=name) + if shm.size != required: + # mid-recreate: OS segment doesn't match shape yet; skip + try: + shm.close() + except Exception: + pass + return None self.shm_store[name] = shm return np.ndarray(shape, dtype=np.uint8, buffer=shm.buf) except FileNotFoundError: diff --git a/frigate/util/media.py b/frigate/util/media.py index 38f5698067..31374c5960 100644 --- a/frigate/util/media.py +++ b/frigate/util/media.py @@ -94,7 +94,7 @@ def remove_empty_directories(root: Path, paths: Iterable[Path]) -> None: paths = parents - logger.debug("Removed {count} empty directories") + logger.debug(f"Removed {count} empty directories") def sync_recordings( diff --git a/frigate/util/services.py b/frigate/util/services.py index f0bf2de1ed..4a715608e2 100644 --- a/frigate/util/services.py +++ b/frigate/util/services.py @@ -264,156 +264,237 @@ def get_amd_gpu_stats() -> Optional[dict[str, str]]: return results -def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, str]]: - """Get stats using intel_gpu_top. +_INTEL_FDINFO_SAMPLE_SECONDS = 1.0 + +# Engines we track. Render/3D and Compute are pooled into "compute"; Video and +# VideoEnhance into "dec" (VideoEnhance is the post-process engine that handles +# VAAPI scaling/deinterlace/CSC, e.g. ffmpeg `-vf scale_vaapi=...`). The Copy +# (DMA blitter) engine is intentionally ignored — it represents transparent +# memory transfers, not user-visible GPU work. +# i915 fdinfo keys (cumulative ns) → logical engine name. +_I915_ENGINE_KEYS = { + "drm-engine-render": "render", + "drm-engine-video": "video", + "drm-engine-video-enhance": "video-enhance", + "drm-engine-compute": "compute", +} +# Xe fdinfo suffixes (cumulative cycles, paired with drm-total-cycles-*). +_XE_ENGINE_KEYS = { + "rcs": "render", + "vcs": "video", + "vecs": "video-enhance", + "ccs": "compute", +} + + +def _resolve_intel_gpu_pdev(device: Optional[str]) -> Optional[str]: + """Map a configured GPU hint (/dev/dri/card1, renderD128, or a PCI bus + address) to its drm-pdev string so we can filter fdinfo entries to that + device. Returns None when no hint is supplied or it cannot be resolved.""" + if not device: + return None + + if re.match(r"^[0-9a-fA-F]{4}:[0-9a-fA-F]{2}:[0-9a-fA-F]{2}\.[0-9a-fA-F]$", device): + return device + + name = os.path.basename(device.rstrip("/")) + try: + return os.path.basename(os.path.realpath(f"/sys/class/drm/{name}/device")) + except OSError: + return None - Returns overall GPU usage derived from rc6 residency (idle time), - plus individual engine breakdowns: - - enc: Render/3D engine (compute/shader encoder, used by QSV) - - dec: Video engines (fixed-function codec, used by VAAPI) + +def _read_intel_drm_fdinfo(target_pdev: Optional[str]) -> dict: + """Snapshot DRM fdinfo for every Intel client visible in /proc. + + Returns a dict keyed by (pdev, drm-client-id, pid) so the same context + seen via multiple file descriptors on a single process collapses to one + entry. """ + snapshot: dict = {} - def get_stats_manually(output: str) -> dict[str, str]: - """Find global stats via regex when json fails to parse.""" - reading = "".join(output) - results: dict[str, str] = {} + try: + proc_entries = os.listdir("/proc") + except OSError: + return snapshot - # rc6 residency for overall GPU usage - rc6_match = re.search(r'"rc6":\{"value":([\d.]+)', reading) - if rc6_match: - rc6_value = float(rc6_match.group(1)) - results["gpu"] = f"{round(100.0 - rc6_value, 2)}%" - else: - results["gpu"] = "-%" + for entry in proc_entries: + if not entry.isdigit(): + continue - results["mem"] = "-%" + fdinfo_dir = f"/proc/{entry}/fdinfo" + try: + fds = os.listdir(fdinfo_dir) + except (FileNotFoundError, PermissionError, NotADirectoryError, OSError): + continue - # Render/3D is the compute/encode engine - render = [] - for result in re.findall(r'"Render/3D/0":{[a-z":\d.,%]+}', reading): - packet = json.loads(result[14:]) - single = packet.get("busy", 0.0) - render.append(float(single)) + for fd in fds: + try: + with open(f"{fdinfo_dir}/{fd}") as f: + content = f.read() + except (FileNotFoundError, PermissionError, OSError): + continue - if render: - results["compute"] = f"{round(sum(render) / len(render), 2)}%" + if "drm-driver" not in content: + continue - # Video engines are the fixed-function decode engines - video = [] - for result in re.findall(r'"Video/\d":{[a-z":\d.,%]+}', reading): - packet = json.loads(result[10:]) - single = packet.get("busy", 0.0) - video.append(float(single)) + fields: dict[str, str] = {} + for line in content.splitlines(): + key, sep, value = line.partition(":") + if sep: + fields[key.strip()] = value.strip() - if video: - results["dec"] = f"{round(sum(video) / len(video), 2)}%" + driver = fields.get("drm-driver") + if driver not in ("i915", "xe"): + continue - return results + pdev = fields.get("drm-pdev", "") + if target_pdev and pdev != target_pdev: + continue - intel_gpu_top_command = [ - "timeout", - "0.5s", - "intel_gpu_top", - "-J", - "-o", - "-", - "-s", - "1000", # Intel changed this from seconds to milliseconds in 2024+ versions - ] + client_id = fields.get("drm-client-id") + if not client_id: + continue - if intel_gpu_device: - intel_gpu_top_command += ["-d", intel_gpu_device] + key = (pdev, client_id, entry) + if key in snapshot: + continue - try: - p = sp.run( - intel_gpu_top_command, - encoding="ascii", - capture_output=True, - ) - except UnicodeDecodeError: - return None + engines: dict[str, tuple[int, int]] = {} + + if driver == "i915": + for fkey, engine in _I915_ENGINE_KEYS.items(): + raw = fields.get(fkey) + if not raw: + continue + try: + engines[engine] = (int(raw.split()[0]), 0) + except (ValueError, IndexError): + continue + else: + for suffix, engine in _XE_ENGINE_KEYS.items(): + busy_raw = fields.get(f"drm-cycles-{suffix}") + total_raw = fields.get(f"drm-total-cycles-{suffix}") + if not (busy_raw and total_raw): + continue + try: + engines[engine] = ( + int(busy_raw.split()[0]), + int(total_raw.split()[0]), + ) + except (ValueError, IndexError): + continue + + if not engines: + continue - # timeout has a non-zero returncode when timeout is reached - if p.returncode != 124: - logger.error(f"Unable to poll intel GPU stats: {p.stderr}") - return None - else: - output = "".join(p.stdout.split()) + snapshot[key] = {"driver": driver, "pid": entry, "engines": engines} - try: - data = json.loads(f"[{output}]") - except json.JSONDecodeError: - return get_stats_manually(output) + return snapshot - results: dict[str, str] = {} - rc6_values = [] - render_global = [] - video_global = [] - # per-client: {pid: [total_busy_per_sample, ...]} - client_usages: dict[str, list[float]] = {} - for block in data: - # rc6 residency: percentage of time GPU is idle - rc6 = block.get("rc6", {}).get("value") - if rc6 is not None: - rc6_values.append(float(rc6)) +def get_intel_gpu_stats( + intel_gpu_device: Optional[str], +) -> Optional[dict[str, dict[str, Any]]]: + """Get stats by reading DRM fdinfo files, bucketed per-pdev. - global_engine = block.get("engines") + Each DRM client FD exposes monotonic per-engine busy counters via + /proc//fdinfo/ (i915 since kernel 5.19, Xe since first release). + We sample twice and divide busy-time deltas by wall-clock to derive + utilization. Render/3D and Compute are pooled into "compute"; Video and + VideoEnhance into "dec". Overall "gpu" is the sum of those pools (clamped + to 100%). - if global_engine: - render_frame = global_engine.get("Render/3D/0", {}).get("busy") - video_frame = global_engine.get("Video/0", {}).get("busy") + The return value is keyed by the GPU's drm-pdev string so multiple Intel + GPUs in the same system are reported separately. Each entry carries a + "name" populated from OpenVINO (falling back to the pdev) so callers can + surface a real device name in the UI. + """ + from frigate.stats.intel_gpu_info import intel_gpu_name_resolver - if render_frame is not None: - render_global.append(float(render_frame)) + target_pdev = _resolve_intel_gpu_pdev(intel_gpu_device) - if video_frame is not None: - video_global.append(float(video_frame)) + snapshot_a = _read_intel_drm_fdinfo(target_pdev) + if not snapshot_a: + return None - clients = block.get("clients", {}) + start = time.monotonic() + time.sleep(_INTEL_FDINFO_SAMPLE_SECONDS) + elapsed_ns = (time.monotonic() - start) * 1e9 - if clients: - for client_block in clients.values(): - pid = client_block["pid"] + snapshot_b = _read_intel_drm_fdinfo(target_pdev) + if not snapshot_b or elapsed_ns <= 0: + return None - if pid not in client_usages: - client_usages[pid] = [] + def _new_engine_pct() -> dict[str, float]: + return {"render": 0.0, "video": 0.0, "video-enhance": 0.0, "compute": 0.0} - # Sum all engine-class busy values for this client - total_busy = 0.0 - for engine in client_block.get("engine-classes", {}).values(): - busy = engine.get("busy") - if busy is not None: - total_busy += float(busy) + per_pdev_engine_pct: dict[str, dict[str, float]] = {} + per_pdev_pid_pct: dict[str, dict[str, float]] = {} - client_usages[pid].append(total_busy) + for key, data_b in snapshot_b.items(): + data_a = snapshot_a.get(key) + if not data_a or data_a["driver"] != data_b["driver"]: + continue - # Overall GPU usage from rc6 (idle) residency - if rc6_values: - rc6_avg = sum(rc6_values) / len(rc6_values) - results["gpu"] = f"{round(100.0 - rc6_avg, 2)}%" + pdev = key[0] + engine_pct = per_pdev_engine_pct.setdefault(pdev, _new_engine_pct()) + pid_pct = per_pdev_pid_pct.setdefault(pdev, {}) - results["mem"] = "-%" + client_total = 0.0 + for engine, (busy_b, total_b) in data_b["engines"].items(): + if engine not in engine_pct: + continue - # Compute: Render/3D engine (compute/shader workloads and QSV encode) - if render_global: - results["compute"] = f"{round(sum(render_global) / len(render_global), 2)}%" + busy_a, total_a = data_a["engines"].get(engine, (busy_b, total_b)) - # Decoder: Video engine (fixed-function codec) - if video_global: - results["dec"] = f"{round(sum(video_global) / len(video_global), 2)}%" + if data_b["driver"] == "i915": + delta = max(0, busy_b - busy_a) + pct = min(100.0, delta / elapsed_ns * 100.0) + else: + delta_busy = max(0, busy_b - busy_a) + delta_total = total_b - total_a + if delta_total <= 0: + continue + pct = min(100.0, delta_busy / delta_total * 100.0) - # Per-client GPU usage (sum of all engines per process) - if client_usages: - results["clients"] = {} + engine_pct[engine] += pct + client_total += pct - for pid, samples in client_usages.items(): - if samples: - results["clients"][pid] = ( - f"{round(sum(samples) / len(samples), 2)}%" - ) + pid_pct[data_b["pid"]] = pid_pct.get(data_b["pid"], 0.0) + client_total - return results + if not per_pdev_engine_pct: + return None + + names = intel_gpu_name_resolver.get_names() + results: dict[str, dict[str, Any]] = {} + + for pdev, engine_pct in per_pdev_engine_pct.items(): + for engine in engine_pct: + engine_pct[engine] = min(100.0, engine_pct[engine]) + + compute_pct = min(100.0, engine_pct["render"] + engine_pct["compute"]) + dec_pct = min(100.0, engine_pct["video"] + engine_pct["video-enhance"]) + overall_pct = min(100.0, compute_pct + dec_pct) + + entry: dict[str, Any] = { + "name": names.get(pdev) or f"Intel GPU {pdev}", + "vendor": "intel", + "gpu": f"{round(overall_pct, 2)}%", + "mem": "-%", + "compute": f"{round(compute_pct, 2)}%", + "dec": f"{round(dec_pct, 2)}%", + } + + pid_pct = per_pdev_pid_pct.get(pdev) + if pid_pct: + entry["clients"] = { + pid: f"{round(min(100.0, pct), 2)}%" for pid, pct in pid_pct.items() + } + + results[pdev] = entry + + return results def get_openvino_npu_stats() -> Optional[dict[str, str]]: @@ -697,6 +778,41 @@ def get_hailo_temps() -> dict[str, float]: return temps +def _go2rtc_arbitrary_exec_allowed() -> bool: + """Read the GO2RTC_ALLOW_ARBITRARY_EXEC override from env, docker + secrets, or the Home Assistant add-on options file.""" + raw: Optional[str] = None + if "GO2RTC_ALLOW_ARBITRARY_EXEC" in os.environ: + raw = os.environ.get("GO2RTC_ALLOW_ARBITRARY_EXEC") + elif ( + os.path.isdir("/run/secrets") + and os.access("/run/secrets", os.R_OK) + and "GO2RTC_ALLOW_ARBITRARY_EXEC" in os.listdir("/run/secrets") + ): + try: + with open("/run/secrets/GO2RTC_ALLOW_ARBITRARY_EXEC") as f: + raw = f.read().strip() + except OSError: + raw = None + elif os.path.isfile("/data/options.json"): + try: + with open("/data/options.json") as f: + options = json.loads(f.read()) + raw = options.get("go2rtc_allow_arbitrary_exec") + except (OSError, json.JSONDecodeError): + raw = None + + return raw is not None and str(raw).lower() in ("true", "1", "yes") + + +def is_restricted_go2rtc_source(stream_source: str) -> bool: + """Check if a stream source is a restricted type (echo, expr, or exec) + and the GO2RTC_ALLOW_ARBITRARY_EXEC override is not set.""" + if not stream_source.strip().startswith(("echo:", "expr:", "exec:")): + return False + return not _go2rtc_arbitrary_exec_allowed() + + def ffprobe_stream(ffmpeg, path: str, detailed: bool = False) -> sp.CompletedProcess: """Run ffprobe on stream.""" clean_path = escape_special_characters(path) @@ -711,23 +827,44 @@ def ffprobe_stream(ffmpeg, path: str, detailed: bool = False) -> sp.CompletedPro else: format_entries = None - ffprobe_cmd = [ - ffmpeg.ffprobe_path, - "-timeout", - "1000000", - "-print_format", - "json", - "-show_entries", - f"stream={stream_entries}", - ] + def run(rtsp_transport: Optional[str] = None) -> sp.CompletedProcess: + cmd = [ffmpeg.ffprobe_path] + if rtsp_transport: + cmd += ["-rtsp_transport", rtsp_transport] + cmd += [ + "-timeout", + "1000000", + "-print_format", + "json", + "-show_entries", + f"stream={stream_entries}", + ] + if detailed and format_entries: + cmd.extend(["-show_entries", f"format={format_entries}"]) + cmd.extend(["-loglevel", "error", clean_path]) + try: + return sp.run(cmd, capture_output=True, timeout=6) + except sp.TimeoutExpired as e: + logger.info( + "ffprobe timed out while probing %s (transport=%s)", + clean_camera_user_pass(path), + rtsp_transport or "default", + ) + return sp.CompletedProcess( + args=cmd, + returncode=1, + stdout=e.stdout or b"", + stderr=(e.stderr or b"") + b"\nffprobe timed out", + ) - # Add format entries for detailed mode - if detailed and format_entries: - ffprobe_cmd.extend(["-show_entries", f"format={format_entries}"]) + result = run() - ffprobe_cmd.extend(["-loglevel", "error", clean_path]) + # For RTSP: retry with explicit TCP transport if the first attempt failed + # (default UDP may be blocked) + if result.returncode != 0 and clean_path.startswith("rtsp://"): + result = run(rtsp_transport="tcp") - return sp.run(ffprobe_cmd, capture_output=True) + return result def vainfo_hwaccel(device_name: Optional[str] = None) -> sp.CompletedProcess: @@ -807,10 +944,15 @@ async def get_video_properties( ) -> dict[str, Any]: async def probe_with_ffprobe( url: str, + rtsp_transport: Optional[str] = None, ) -> tuple[bool, int, int, Optional[str], float]: """Fallback using ffprobe: returns (valid, width, height, codec, duration).""" - cmd = [ - ffmpeg.ffprobe_path, + cmd = [ffmpeg.ffprobe_path] + if rtsp_transport: + cmd += ["-rtsp_transport", rtsp_transport] + cmd += [ + "-rw_timeout", + "5000000", "-v", "quiet", "-print_format", @@ -819,11 +961,23 @@ async def probe_with_ffprobe( "-show_streams", url, ] + proc = None try: proc = await asyncio.create_subprocess_exec( *cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE ) - stdout, _ = await proc.communicate() + try: + stdout, _ = await asyncio.wait_for(proc.communicate(), timeout=6) + except asyncio.TimeoutError: + logger.info( + "ffprobe timed out while probing %s (transport=%s)", + clean_camera_user_pass(url), + rtsp_transport or "default", + ) + proc.kill() + await proc.wait() + return False, 0, 0, None, -1 + if proc.returncode != 0: return False, 0, 0, None, -1 @@ -872,12 +1026,26 @@ def probe_with_cv2(url: str) -> tuple[bool, int, int, Optional[str], float]: cap.release() return valid, width, height, fourcc, duration - # try cv2 first - has_video, width, height, fourcc, duration = probe_with_cv2(url) + is_rtsp = url.startswith("rtsp://") - # fallback to ffprobe if needed - if not has_video or (get_duration and duration < 0): + if is_rtsp: + # skip cv2 for RTSP: its FFmpeg backend has a hardcoded ~30s internal + # timeout that cannot be shortened per-call, and ffprobe bounded by + # -rw_timeout handles RTSP probing reliably has_video, width, height, fourcc, duration = await probe_with_ffprobe(url) + else: + # try cv2 first for local files, HTTP, RTMP + has_video, width, height, fourcc, duration = probe_with_cv2(url) + + # fallback to ffprobe if needed + if not has_video or (get_duration and duration < 0): + has_video, width, height, fourcc, duration = await probe_with_ffprobe(url) + + # last resort for RTSP: try TCP transport, since default UDP may be blocked + if (not has_video or (get_duration and duration < 0)) and is_rtsp: + has_video, width, height, fourcc, duration = await probe_with_ffprobe( + url, rtsp_transport="tcp" + ) result: dict[str, Any] = {"has_valid_video": has_video} if has_video: diff --git a/frigate/video/detect.py b/frigate/video/detect.py index 339b11e534..89124a75de 100644 --- a/frigate/video/detect.py +++ b/frigate/video/detect.py @@ -438,34 +438,32 @@ def process_frames( else: object_tracker.update_frame_times(frame_name, frame_time) - # group the attribute detections based on what label they apply to - attribute_detections: dict[str, list[TrackedObjectAttribute]] = {} - for label, attribute_labels in attributes_map.items(): - attribute_detections[label] = [ - TrackedObjectAttribute(d) - for d in consolidated_detections - if d[0] in attribute_labels - ] - # build detections detections = {} for obj in object_tracker.tracked_objects.values(): detections[obj["id"]] = {**obj, "attributes": []} - # find the best object for each attribute to be assigned to + # assign each detected attribute to the best matching object. + # iterate consolidated_detections once so attributes that appear under + # multiple parent labels in attributes_map (e.g. license_plate is in + # both "car" and "motorcycle") are not appended more than once all_objects: list[dict[str, Any]] = object_tracker.tracked_objects.values() - for attributes in attribute_detections.values(): - for attribute in attributes: - filtered_objects = filter( - lambda o: attribute.label in attributes_map.get(o["label"], []), - all_objects, - ) - selected_object_id = attribute.find_best_object(filtered_objects) + detected_attributes = [ + TrackedObjectAttribute(d) + for d in consolidated_detections + if d[0] in all_attributes + ] + for attribute in detected_attributes: + filtered_objects = filter( + lambda o: attribute.label in attributes_map.get(o["label"], []), + all_objects, + ) + selected_object_id = attribute.find_best_object(filtered_objects) - if selected_object_id is not None: - detections[selected_object_id]["attributes"].append( - attribute.get_tracking_data() - ) + if selected_object_id is not None: + detections[selected_object_id]["attributes"].append( + attribute.get_tracking_data() + ) # debug object tracking if False: diff --git a/frigate/video/ffmpeg.py b/frigate/video/ffmpeg.py index d30dc3b188..e77c03b5e5 100644 --- a/frigate/video/ffmpeg.py +++ b/frigate/video/ffmpeg.py @@ -24,7 +24,7 @@ ) from frigate.const import PROCESS_PRIORITY_HIGH from frigate.log import LogPipe -from frigate.util.builtin import EventsPerSecond +from frigate.util.builtin import EventsPerSecond, get_ffmpeg_arg_list from frigate.util.ffmpeg import start_or_restart_ffmpeg, stop_ffmpeg from frigate.util.image import ( FrameManager, @@ -34,6 +34,23 @@ logger = logging.getLogger(__name__) +# all built-in record presets use this segment_time +DEFAULT_RECORD_SEGMENT_TIME = 10 + + +def _get_record_segment_time(config: CameraConfig) -> int: + """Extract -segment_time from the camera's record output args.""" + record_args = get_ffmpeg_arg_list(config.ffmpeg.output_args.record) + + if record_args and record_args[0].startswith("preset"): + return DEFAULT_RECORD_SEGMENT_TIME + + try: + idx = record_args.index("-segment_time") + return int(record_args[idx + 1]) + except (ValueError, IndexError): + return DEFAULT_RECORD_SEGMENT_TIME + def capture_frames( ffmpeg_process: sp.Popen[Any], @@ -157,6 +174,7 @@ def __init__( ) self.requestor = InterProcessRequestor() self.was_enabled = self.config.enabled + self.was_record_enabled_in_config = self.config.record.enabled_in_config self.segment_subscriber = RecordingsDataSubscriber(RecordingsDataTypeEnum.all) self.latest_valid_segment_time: float = 0 @@ -164,6 +182,12 @@ def __init__( self.latest_cache_segment_time: float = 0 self.record_enable_time: datetime | None = None + # `valid` segments are published with the segment's start time, so the + # gap between consecutive publishes can reach 2 * segment_time. Pad the + # staleness threshold so it's never tighter than that worst case. + segment_time = _get_record_segment_time(self.config) + self.record_stale_threshold = max(120, 2 * segment_time + 30) + # Stall tracking (based on last processed frame) self._stall_timestamps: deque[float] = deque() self._stall_active: bool = False @@ -300,6 +324,22 @@ def run(self) -> None: self.was_enabled = enabled continue + record_enabled_in_config = self.config.record.enabled_in_config + if record_enabled_in_config != self.was_record_enabled_in_config: + if record_enabled_in_config and enabled: + self.logger.debug( + f"Record enabled in config for {self.config.name}, restarting ffmpeg" + ) + self.stop_all_ffmpeg() + self.start_all_ffmpeg() + self.latest_valid_segment_time = 0 + self.latest_invalid_segment_time = 0 + self.latest_cache_segment_time = 0 + self.record_enable_time = datetime.now().astimezone(timezone.utc) + last_restart_time = datetime.now().timestamp() + self.was_record_enabled_in_config = record_enabled_in_config + continue + if not enabled: continue @@ -317,16 +357,16 @@ def run(self) -> None: if camera != self.config.name: continue - if topic.endswith(RecordingsDataTypeEnum.valid.value): - self.logger.debug( - f"Latest valid recording segment time on {camera}: {segment_time}" - ) - self.latest_valid_segment_time = segment_time - elif topic.endswith(RecordingsDataTypeEnum.invalid.value): + if topic.endswith(RecordingsDataTypeEnum.invalid.value): self.logger.warning( f"Invalid recording segment detected for {camera} at {segment_time}" ) self.latest_invalid_segment_time = segment_time + elif topic.endswith(RecordingsDataTypeEnum.valid.value): + self.logger.debug( + f"Latest valid recording segment time on {camera}: {segment_time}" + ) + self.latest_valid_segment_time = segment_time elif topic.endswith(RecordingsDataTypeEnum.latest.value): if segment_time is not None: self.latest_cache_segment_time = segment_time @@ -413,16 +453,17 @@ def run(self) -> None: # ensure segments are still being created and that they have valid video data # Skip checks during grace period to allow segments to start being created + stale_window = timedelta(seconds=self.record_stale_threshold) cache_stale = not in_grace_period and now_utc > ( - latest_cache_dt + timedelta(seconds=120) + latest_cache_dt + stale_window ) valid_stale = not in_grace_period and now_utc > ( - latest_valid_dt + timedelta(seconds=120) + latest_valid_dt + stale_window ) invalid_stale_condition = ( self.latest_invalid_segment_time > 0 and not in_grace_period - and now_utc > (latest_invalid_dt + timedelta(seconds=120)) + and now_utc > (latest_invalid_dt + stale_window) and self.latest_valid_segment_time <= self.latest_invalid_segment_time ) @@ -439,7 +480,7 @@ def run(self) -> None: ) self.logger.error( - f"{reason} for {self.config.name} in the last 120s. Restarting the ffmpeg record process..." + f"{reason} for {self.config.name} in the last {self.record_stale_threshold}s. Restarting the ffmpeg record process..." ) p["process"] = start_or_restart_ffmpeg( p["cmd"], diff --git a/frigate/watchdog.py b/frigate/watchdog.py index 63fd166298..7ae42d9883 100644 --- a/frigate/watchdog.py +++ b/frigate/watchdog.py @@ -28,6 +28,7 @@ class MonitoredProcess: restart_timestamps: deque[float] = field( default_factory=lambda: deque(maxlen=MAX_RESTARTS) ) + clean_exit_logged: bool = False def is_restarting_too_fast(self, now: float) -> bool: while ( @@ -72,7 +73,9 @@ def _check_process(self, entry: MonitoredProcess) -> None: exitcode = entry.process.exitcode if exitcode == 0: - logger.info("Process %s exited cleanly, not restarting", entry.name) + if not entry.clean_exit_logged: + logger.info("Process %s exited cleanly, not restarting", entry.name) + entry.clean_exit_logged = True return logger.warning( diff --git a/generate_config_translations.py b/generate_config_translations.py index 032edb2327..7f9c9bc504 100644 --- a/generate_config_translations.py +++ b/generate_config_translations.py @@ -150,29 +150,51 @@ def extract_translations_from_schema( # Handle anyOf cases elif "anyOf" in field_schema: for item in field_schema["anyOf"]: + nested = None + if item.get("type") == "null": + continue if "properties" in item: nested = extract_translations_from_schema(item, defs=defs) - nested_without_root = { - k: v - for k, v in nested.items() - if k not in ("label", "description") - } - field_translations.update(nested_without_root) elif "$ref" in item: ref_path = item["$ref"] if ref_path.startswith("#/$defs/"): ref_name = ref_path.split("/")[-1] if ref_name in defs: - ref_schema = defs[ref_name] nested = extract_translations_from_schema( - ref_schema, defs=defs + defs[ref_name], defs=defs + ) + elif ( + "additionalProperties" in item + and isinstance(item["additionalProperties"], dict) + and "$ref" in item["additionalProperties"] + ): + ref_path = item["additionalProperties"]["$ref"] + if ref_path.startswith("#/$defs/"): + ref_name = ref_path.split("/")[-1] + if ref_name in defs: + nested = extract_translations_from_schema( + defs[ref_name], defs=defs + ) + elif ( + "items" in item + and isinstance(item["items"], dict) + and ("$ref" in item["items"]) + ): + ref_path = item["items"]["$ref"] + if ref_path.startswith("#/$defs/"): + ref_name = ref_path.split("/")[-1] + if ref_name in defs: + nested = extract_translations_from_schema( + defs[ref_name], defs=defs ) - nested_without_root = { - k: v - for k, v in nested.items() - if k not in ("label", "description") - } - field_translations.update(nested_without_root) + + if nested: + nested_without_root = { + k: v + for k, v in nested.items() + if k not in ("label", "description") + } + field_translations.update(nested_without_root) if field_translations: translations[field_name] = field_translations @@ -342,6 +364,64 @@ def main(): continue section_data.pop(key, None) + if field_name == "objects": + # Produce a parallel `filters_attribute` block alongside `filters`, + # with object-wording rewritten for attribute filters (face, + # license_plate, courier logos). The frontend's + # buildTranslationPath routes `filters..` lookups to + # `filters_attribute.` when `` is in + # `model.all_attributes`. Keep this rewrite list explicit rather + # than running a blanket s/object/attribute/ so unrelated + # descriptions (e.g. "JSON object") never accidentally flip. + filters_block = section_data.get("filters") + if isinstance(filters_block, dict): + attribute_rewrites = [ + ("Object filters", "Attribute filters"), + ("detected objects", "detected attributes"), + ("object area", "attribute area"), + ("object type", "attribute"), + ("the object", "the attribute"), + ] + + # Per-field overrides for cases where the generic rewrite + # doesn't capture the attribute-specific semantics. Keys + # match the FilterConfig field name; values are partial + # overrides applied AFTER the generic rewrites. + attribute_field_overrides: Dict[str, Dict[str, str]] = { + "min_score": { + "description": ( + "Minimum single-frame detection confidence required " + "to associate this attribute with its parent object." + ), + }, + } + + def rewrite(text: str) -> str: + for source, replacement in attribute_rewrites: + text = text.replace(source, replacement) + return text + + attribute_variant: Dict[str, Any] = {} + for key, value in filters_block.items(): + if key in ("label", "description"): + if isinstance(value, str): + attribute_variant[key] = rewrite(value) + continue + if not isinstance(value, dict): + continue + field_trans: Dict[str, str] = {} + if isinstance(value.get("label"), str): + field_trans["label"] = rewrite(value["label"]) + if isinstance(value.get("description"), str): + field_trans["description"] = rewrite(value["description"]) + overrides = attribute_field_overrides.get(key) + if overrides: + field_trans.update(overrides) + if field_trans: + attribute_variant[key] = field_trans + if attribute_variant: + section_data["filters_attribute"] = attribute_variant + if not section_data: logger.warning(f"No translations found for section: {field_name}") continue diff --git a/notebooks/YOLO_NAS_Pretrained_Export.ipynb b/notebooks/YOLO_NAS_Pretrained_Export.ipynb index e9ee223149..23c55d1dcb 100644 --- a/notebooks/YOLO_NAS_Pretrained_Export.ipynb +++ b/notebooks/YOLO_NAS_Pretrained_Export.ipynb @@ -1,88 +1,95 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "rmuF9iKWTbdk" - }, - "outputs": [], - "source": [ - "! pip install -q git+https://github.com/Deci-AI/super-gradients.git" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "NiRCt917KKcL" - }, - "outputs": [], - "source": [ - "! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.12/dist-packages/super_gradients/training/pretrained_models.py\n", - "! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.12/dist-packages/super_gradients/training/utils/checkpoint_utils.py" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "dTB0jy_NNSFz" - }, - "outputs": [], - "source": [ - "from super_gradients.common.object_names import Models\n", - "from super_gradients.conversion import DetectionOutputFormatMode\n", - "from super_gradients.training import models\n", - "\n", - "model = models.get(Models.YOLO_NAS_S, pretrained_weights=\"coco\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "GymUghyCNXem" - }, - "outputs": [], - "source": [ - "# export the model for compatibility with Frigate\n", - "\n", - "model.export(\"yolo_nas_s.onnx\",\n", - " output_predictions_format=DetectionOutputFormatMode.FLAT_FORMAT,\n", - " max_predictions_per_image=20,\n", - " num_pre_nms_predictions=300,\n", - " confidence_threshold=0.4,\n", - " input_image_shape=(320,320),\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "uBhXV5g4Nh42" - }, - "outputs": [], - "source": [ - "from google.colab import files\n", - "\n", - "files.download('yolo_nas_s.onnx')" - ] - } - ], - "metadata": { - "colab": { - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "runtime-notice" + }, + "source": [ + "**Before running:** go to **Runtime → Change runtime type → Fallback runtime version: 2025.07** (Python 3.11). The current Colab default (Python 3.12+) is incompatible with `super-gradients`." + ] }, - "nbformat": 4, - "nbformat_minor": 0 -} + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "rmuF9iKWTbdk" + }, + "outputs": [], + "source": [ + "! pip install -q \"jedi>=0.16\"\n", + "! pip install -q git+https://github.com/Deci-AI/super-gradients.git" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "NiRCt917KKcL" + }, + "outputs": [], + "source": "! sed -i 's/sghub\\.deci\\.ai/d2gjn4b69gu75n.cloudfront.net/g; s/sg-hub-nv\\.s3\\.amazonaws\\.com/d2gjn4b69gu75n.cloudfront.net/g' /usr/local/lib/python*/dist-packages/super_gradients/training/pretrained_models.py\n! sed -i 's/sghub\\.deci\\.ai/d2gjn4b69gu75n.cloudfront.net/g; s/sg-hub-nv\\.s3\\.amazonaws\\.com/d2gjn4b69gu75n.cloudfront.net/g' /usr/local/lib/python*/dist-packages/super_gradients/training/utils/checkpoint_utils.py" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "dTB0jy_NNSFz" + }, + "outputs": [], + "source": [ + "from super_gradients.common.object_names import Models\n", + "from super_gradients.conversion import DetectionOutputFormatMode\n", + "from super_gradients.training import models\n", + "\n", + "model = models.get(Models.YOLO_NAS_S, pretrained_weights=\"coco\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "GymUghyCNXem" + }, + "outputs": [], + "source": [ + "# export the model for compatibility with Frigate\n", + "\n", + "model.export(\"yolo_nas_s.onnx\",\n", + " output_predictions_format=DetectionOutputFormatMode.FLAT_FORMAT,\n", + " max_predictions_per_image=20,\n", + " num_pre_nms_predictions=300,\n", + " confidence_threshold=0.4,\n", + " input_image_shape=(320,320),\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "uBhXV5g4Nh42" + }, + "outputs": [], + "source": [ + "from google.colab import files\n", + "\n", + "files.download('yolo_nas_s.onnx')" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/testing-scripts/analyze_recording_keyframes.py b/testing-scripts/analyze_recording_keyframes.py new file mode 100644 index 0000000000..982cac82f3 --- /dev/null +++ b/testing-scripts/analyze_recording_keyframes.py @@ -0,0 +1,376 @@ +#!/usr/bin/env python3 +"""Analyze keyframe and timestamp structure of Frigate recording segments. + +This is a diagnostic tool for investigating seek precision / GOP behavior on +recorded segments. It does not modify anything. + +ffprobe is only available inside the Frigate container, at + /usr/lib/ffmpeg/$DEFAULT_FFMPEG_VERSION/bin/ffprobe +This script auto-resolves that path from the DEFAULT_FFMPEG_VERSION env var +(or falls back to scanning /usr/lib/ffmpeg/*/bin/ffprobe). Pass --ffprobe to +override if needed. + +All recording segments on the filesystem are in UTC. The --timestamp flag +expects a UTC Unix timestamp. + +Typical use: + # Inside the Frigate container (or wherever recordings are mounted) + python3 analyze_recording_keyframes.py + + # Analyze 10 most recent segments + python3 analyze_recording_keyframes.py --count 10 + + # Locate the segment that contains a specific UTC Unix timestamp and + # show it plus surrounding segments + python3 analyze_recording_keyframes.py --timestamp 1713471234.567 + + # Custom recordings directory + python3 analyze_recording_keyframes.py --recordings-dir /media/frigate/recordings + + # Override the ffprobe path explicitly + python3 analyze_recording_keyframes.py --ffprobe /usr/lib/ffmpeg/7.0/bin/ffprobe +""" + +import argparse +import datetime +import json +import os +import subprocess +import sys +from pathlib import Path +from statistics import mean, median, stdev + + +def resolve_ffprobe_path(override: str | None) -> str: + """Resolve the ffprobe binary path. + + Inside the Frigate container, ffprobe lives at + /usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffprobe — the exact version + depends on the image build and is exposed as an env var. + """ + if override: + return override + version = os.environ.get("DEFAULT_FFMPEG_VERSION", "") + if version: + path = f"/usr/lib/ffmpeg/{version}/bin/ffprobe" + if Path(path).is_file(): + return path + # Fall back to scanning the Frigate ffmpeg install root. + for candidate in sorted(Path("/usr/lib/ffmpeg").glob("*/bin/ffprobe")): + if candidate.is_file(): + return str(candidate) + print( + "Could not locate ffprobe. Pass --ffprobe or set " + "DEFAULT_FFMPEG_VERSION.", + file=sys.stderr, + ) + sys.exit(1) + + +def find_recent_segments(recordings_dir: Path, camera: str, count: int) -> list[Path]: + """Return the N most recent .mp4 segments for the given camera. + + Expected layout: ////..mp4 + """ + pattern = f"*/*/{camera}/*.mp4" + segments = sorted(recordings_dir.glob(pattern)) + return segments[-count:] + + +def find_segments_near_timestamp( + recordings_dir: Path, camera: str, target_ts: float, count: int +) -> tuple[list[Path], Path | None]: + """Return `count` segments centered on the one containing `target_ts`. + + Also returns the specific segment that should contain the timestamp, so + callers can highlight it in output. + """ + pattern = f"*/*/{camera}/*.mp4" + with_ts: list[tuple[float, Path]] = [] + for seg in sorted(recordings_dir.glob(pattern)): + ts = filename_to_timestamp(seg) + if ts is not None: + with_ts.append((ts, seg)) + + if not with_ts: + return [], None + + # Largest filename_ts that is <= target_ts — that's the segment that + # should contain the timestamp (Frigate catalogs segments by filename). + target_idx = -1 + for i, (ts, _) in enumerate(with_ts): + if ts <= target_ts: + target_idx = i + else: + break + + if target_idx < 0: + # target_ts is before the earliest segment we have — just return the + # first `count` segments so the user can see what's available. + window = with_ts[:count] + return [seg for _, seg in window], None + + half = count // 2 + start = max(0, target_idx - half) + end = min(len(with_ts), start + count) + start = max(0, end - count) + + window = with_ts[start:end] + return [seg for _, seg in window], with_ts[target_idx][1] + + +def filename_to_timestamp(segment: Path) -> float | None: + """Parse the wall-clock time from Frigate's segment path layout.""" + try: + date = segment.parent.parent.parent.name # YYYY-MM-DD + hour = segment.parent.parent.name # HH + mm_ss = segment.stem # MM.SS + minute, second = mm_ss.split(".") + dt = datetime.datetime.strptime( + f"{date} {hour}:{minute}:{second}", + "%Y-%m-%d %H:%M:%S", + ).replace(tzinfo=datetime.timezone.utc) + return dt.timestamp() + except (ValueError, IndexError): + return None + + +def run_ffprobe(ffprobe: str, args: list[str]) -> dict: + """Run ffprobe and return parsed JSON, or empty dict on failure.""" + result = subprocess.run( + [ffprobe, "-v", "error", *args, "-of", "json"], + capture_output=True, + text=True, + check=False, + ) + if result.returncode != 0: + print(f" ffprobe error: {result.stderr.strip()}", file=sys.stderr) + return {} + try: + return json.loads(result.stdout) + except json.JSONDecodeError: + return {} + + +def get_format_info(ffprobe: str, segment: Path) -> tuple[dict, dict]: + """Return (format_dict, stream_dict) for the first video stream.""" + data = run_ffprobe( + ffprobe, + [ + "-show_entries", + "format=duration,start_time", + "-show_entries", + "stream=codec_name,profile,r_frame_rate,width,height", + "-select_streams", + "v:0", + str(segment), + ], + ) + fmt = data.get("format", {}) + streams = data.get("streams") or [{}] + return fmt, streams[0] + + +def get_video_packets(ffprobe: str, segment: Path) -> list[dict]: + """Return video packets with pts_time and flags.""" + data = run_ffprobe( + ffprobe, + [ + "-select_streams", + "v", + "-show_entries", + "packet=pts_time,dts_time,flags", + str(segment), + ], + ) + return data.get("packets", []) + + +def analyze(ffprobe: str, segment: Path, highlight: bool = False) -> None: + marker = " <-- contains target timestamp" if highlight else "" + print(f"\n=== {segment} ==={marker}") + + fmt, stream = get_format_info(ffprobe, segment) + duration = float(fmt.get("duration", 0) or 0) + start_time = float(fmt.get("start_time", 0) or 0) + codec = stream.get("codec_name", "?") + profile = stream.get("profile", "?") + width = stream.get("width", "?") + height = stream.get("height", "?") + fps = stream.get("r_frame_rate", "?/1") + + filename_ts = filename_to_timestamp(segment) + filename_iso = ( + datetime.datetime.fromtimestamp( + filename_ts, tz=datetime.timezone.utc + ).isoformat() + if filename_ts is not None + else "?" + ) + + print(f" Codec: {codec} ({profile}) {width}x{height} {fps}") + print(f" Filename time: {filename_ts} ({filename_iso})") + print(f" Format duration: {duration:.3f}s") + print(f" Format start: {start_time:.3f}s (PTS offset of first packet)") + + packets = get_video_packets(ffprobe, segment) + if not packets: + print(" (no video packets)") + return + + keyframe_times: list[float] = [] + first_pts: float | None = None + last_pts: float | None = None + + for pkt in packets: + pts_str = pkt.get("pts_time") + if pts_str is None or pts_str == "N/A": + continue + pts = float(pts_str) + if first_pts is None: + first_pts = pts + last_pts = pts + if "K" in pkt.get("flags", ""): + keyframe_times.append(pts) + + total_packets = len(packets) + kf_count = len(keyframe_times) + + print(f" Video packets: {total_packets}") + print(f" Keyframes: {kf_count}") + if first_pts is not None and last_pts is not None: + print( + f" Packet PTS: first={first_pts:.3f}s last={last_pts:.3f}s " + f"span={last_pts - first_pts:.3f}s" + ) + + if keyframe_times: + print( + f" Keyframe PTS: first={keyframe_times[0]:.3f}s " + f"last={keyframe_times[-1]:.3f}s" + ) + formatted = ", ".join(f"{t:.3f}" for t in keyframe_times) + print(f" Keyframe times: [{formatted}]") + + if len(keyframe_times) >= 2: + gaps = [b - a for a, b in zip(keyframe_times, keyframe_times[1:])] + avg_fps_estimate = ( + total_packets / (last_pts - first_pts) + if last_pts and first_pts is not None and last_pts > first_pts + else 0 + ) + print( + f" GOP gaps (s): min={min(gaps):.3f} max={max(gaps):.3f} " + f"mean={mean(gaps):.3f} median={median(gaps):.3f}" + ) + if len(gaps) > 1: + print(f" stdev={stdev(gaps):.3f}") + print( + f" Est. mean GOP: ~{mean(gaps) * avg_fps_estimate:.1f} frames" + if avg_fps_estimate + else "" + ) + if max(gaps) > 5: + print( + " !! Max GOP > 5s — consistent with adaptive/smart codec " + "(even if 'Smart Codec' is off in the UI, some cameras still " + "produce irregular GOPs under specific encoder profiles)" + ) + elif kf_count == 1: + print(" !! Only one keyframe in segment — very long GOP") + + # Report how well filename time aligns with first-packet PTS. + # (Filename time is what Frigate uses as recording.start_time in the DB.) + if filename_ts is not None and first_pts is not None: + print( + f" Notes: first packet PTS is {first_pts:.3f}s into the file; " + f"Frigate treats filename time as PTS=0 for seek math." + ) + + +def main() -> None: + parser = argparse.ArgumentParser( + description=__doc__, + formatter_class=argparse.RawDescriptionHelpFormatter, + ) + parser.add_argument("camera", help="Camera name (matches the recordings subfolder)") + parser.add_argument( + "--count", + type=int, + default=5, + help="Number of most recent segments to analyze (default: 5)", + ) + parser.add_argument( + "--recordings-dir", + default="/media/frigate/recordings", + help="Path to the recordings directory (default: /media/frigate/recordings)", + ) + parser.add_argument( + "--ffprobe", + default=None, + help=( + "Full path to the ffprobe binary. Defaults to the Frigate-bundled " + "binary at /usr/lib/ffmpeg/$DEFAULT_FFMPEG_VERSION/bin/ffprobe." + ), + ) + parser.add_argument( + "--timestamp", + type=float, + default=None, + help=( + "Unix timestamp (UTC seconds, decimals allowed) to locate. The " + "script finds the segment that should contain this time and " + "analyzes it plus surrounding segments (count controls the " + "window). All on-disk segments are stored in UTC, so pass a UTC " + "Unix timestamp." + ), + ) + args = parser.parse_args() + + ffprobe = resolve_ffprobe_path(args.ffprobe) + + recordings_dir = Path(args.recordings_dir) + if not recordings_dir.is_dir(): + print( + f"Recordings directory not found: {recordings_dir}", + file=sys.stderr, + ) + sys.exit(1) + + target_segment: Path | None = None + if args.timestamp is not None: + segments, target_segment = find_segments_near_timestamp( + recordings_dir, args.camera, args.timestamp, args.count + ) + target_iso = datetime.datetime.fromtimestamp( + args.timestamp, tz=datetime.timezone.utc + ).isoformat() + mode = f"around timestamp {args.timestamp} ({target_iso})" + else: + segments = find_recent_segments(recordings_dir, args.camera, args.count) + mode = "most recent" + + if not segments: + print( + f"No segments found for camera '{args.camera}' under {recordings_dir}", + file=sys.stderr, + ) + sys.exit(1) + + if args.timestamp is not None and target_segment is None: + print( + f"!! Target timestamp {args.timestamp} is before the earliest " + f"segment on disk; showing the earliest available segments instead.", + file=sys.stderr, + ) + + print( + f"Analyzing {len(segments)} {mode} segment(s) for camera " + f"'{args.camera}' under {recordings_dir} (ffprobe: {ffprobe})" + ) + for segment in segments: + analyze(ffprobe, segment, highlight=(segment == target_segment)) + + +if __name__ == "__main__": + main() diff --git a/benchmark.py b/testing-scripts/benchmark.py similarity index 100% rename from benchmark.py rename to testing-scripts/benchmark.py diff --git a/benchmark_motion.py b/testing-scripts/benchmark_motion.py similarity index 100% rename from benchmark_motion.py rename to testing-scripts/benchmark_motion.py diff --git a/testing-scripts/face_dataset.py b/testing-scripts/face_dataset.py new file mode 100644 index 0000000000..0c9e451d1b --- /dev/null +++ b/testing-scripts/face_dataset.py @@ -0,0 +1,783 @@ +""" +Face recognition investigation script. + +Standalone replica of Frigate's ArcFace pipeline (see +frigate/data_processing/common/face/model.py and +frigate/embeddings/onnx/face_embedding.py) for analyzing a face collection +outside the running service. Useful for: + + - Diagnosing why a person's collection produces false positives + - Finding outlier/contaminating training images + - Inspecting the effect of the shipped vector-wise outlier filter + +Layout: + - Core pipeline: LandmarkAligner, ArcFaceEmbedder, arcface_preprocess, + similarity_to_confidence, blur_reduction — all mirroring the production + code exactly + - Default run: summarize positive and negative sets against a baseline + trim_mean class representation + - Optional diagnostics (flags): vector-outlier filter behavior, degenerate + "tiny crop" embedding clustering, and multi-identity contamination + +Usage: + python3 face_investigate.py \\ + --positive \\ + --negative \\ + [--model-cache /path/to/model_cache] \\ + [--vector-outlier] [--degenerate] [--contamination] + +The positive folder should contain training images for a single identity +(same layout as FACE_DIR//*.webp). The negative folder should contain +runtime crops to test against — a mix of true matches and misfires. +""" + +from __future__ import annotations + +import argparse +import os +import sys +from dataclasses import dataclass +from typing import Iterable + +import cv2 +import numpy as np +import onnxruntime as ort +from PIL import Image +from scipy import stats + +ARCFACE_INPUT_SIZE = 112 + + +# --------------------------------------------------------------------------- +# Replicated Frigate pipeline +# --------------------------------------------------------------------------- + + +def _process_image_frigate(image: np.ndarray) -> Image.Image: + """Mirror BaseEmbedding._process_image for an ndarray input. + + NOTE: Frigate passes the output of `cv2.imread` (BGR) directly in. PIL's + `Image.fromarray` does NOT reorder channels, so the embedder effectively + receives a BGR-ordered tensor. We replicate that faithfully here. (Tested + — swapping to RGB produces near-identical embeddings; this model is + robust to channel order.) + """ + return Image.fromarray(image) + + +def arcface_preprocess(image_bgr: np.ndarray) -> np.ndarray: + """Mirror ArcfaceEmbedding._preprocess_inputs.""" + pil = _process_image_frigate(image_bgr) + + width, height = pil.size + if width != ARCFACE_INPUT_SIZE or height != ARCFACE_INPUT_SIZE: + if width > height: + new_height = int(((height / width) * ARCFACE_INPUT_SIZE) // 4 * 4) + pil = pil.resize((ARCFACE_INPUT_SIZE, new_height)) + else: + new_width = int(((width / height) * ARCFACE_INPUT_SIZE) // 4 * 4) + pil = pil.resize((new_width, ARCFACE_INPUT_SIZE)) + + og = np.array(pil).astype(np.float32) + og_h, og_w, channels = og.shape + + frame = np.zeros( + (ARCFACE_INPUT_SIZE, ARCFACE_INPUT_SIZE, channels), dtype=np.float32 + ) + x_center = (ARCFACE_INPUT_SIZE - og_w) // 2 + y_center = (ARCFACE_INPUT_SIZE - og_h) // 2 + frame[y_center : y_center + og_h, x_center : x_center + og_w] = og + + frame = (frame / 127.5) - 1.0 + frame = np.transpose(frame, (2, 0, 1)) + frame = np.expand_dims(frame, axis=0) + return frame + + +class LandmarkAligner: + """Mirror FaceRecognizer.align_face.""" + + def __init__(self, landmark_model_path: str): + if not os.path.exists(landmark_model_path): + raise FileNotFoundError(landmark_model_path) + self.detector = cv2.face.createFacemarkLBF() + self.detector.loadModel(landmark_model_path) + + def align( + self, image: np.ndarray, out_w: int, out_h: int + ) -> tuple[np.ndarray, dict]: + land_image = ( + cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) if image.ndim == 3 else image + ) + _, lands = self.detector.fit( + land_image, np.array([(0, 0, land_image.shape[1], land_image.shape[0])]) + ) + landmarks = lands[0][0] + + leftEyePts = landmarks[42:48] + rightEyePts = landmarks[36:42] + leftEyeCenter = leftEyePts.mean(axis=0).astype("int") + rightEyeCenter = rightEyePts.mean(axis=0).astype("int") + + dY = rightEyeCenter[1] - leftEyeCenter[1] + dX = rightEyeCenter[0] - leftEyeCenter[0] + angle = np.degrees(np.arctan2(dY, dX)) - 180 + dist = float(np.sqrt((dX**2) + (dY**2))) + + desiredRightEyeX = 1.0 - 0.35 + desiredDist = (desiredRightEyeX - 0.35) * out_w + scale = desiredDist / dist if dist > 0 else 1.0 + + eyesCenter = ( + int((leftEyeCenter[0] + rightEyeCenter[0]) // 2), + int((leftEyeCenter[1] + rightEyeCenter[1]) // 2), + ) + M = cv2.getRotationMatrix2D(eyesCenter, angle, scale) + tX = out_w * 0.5 + tY = out_h * 0.35 + M[0, 2] += tX - eyesCenter[0] + M[1, 2] += tY - eyesCenter[1] + + aligned = cv2.warpAffine( + image, M, (out_w, out_h), flags=cv2.INTER_CUBIC + ) + info = dict( + angle=float(angle), + eye_dist_px=dist, + scale=float(scale), + landmarks=landmarks, + ) + return aligned, info + + +class ArcFaceEmbedder: + def __init__(self, model_path: str): + self.session = ort.InferenceSession( + model_path, providers=["CPUExecutionProvider"] + ) + self.input_name = self.session.get_inputs()[0].name + + def embed(self, image_bgr: np.ndarray) -> np.ndarray: + tensor = arcface_preprocess(image_bgr) + out = self.session.run(None, {self.input_name: tensor})[0] + return out.squeeze() + + +def similarity_to_confidence( + cos_sim: float, + median: float = 0.3, + range_width: float = 0.6, + slope_factor: float = 12, +) -> float: + slope = slope_factor / range_width + return float(1.0 / (1.0 + np.exp(-slope * (cos_sim - median)))) + + +def laplacian_variance(image: np.ndarray) -> float: + return float(cv2.Laplacian(image, cv2.CV_64F).var()) + + +def blur_reduction(variance: float) -> float: + if variance < 120: + return 0.06 + elif variance < 160: + return 0.04 + elif variance < 200: + return 0.02 + elif variance < 250: + return 0.01 + return 0.0 + + +def cosine(a: np.ndarray, b: np.ndarray) -> float: + denom = np.linalg.norm(a) * np.linalg.norm(b) + if denom == 0: + return 0.0 + return float(np.dot(a, b) / denom) + + +def l2(v: np.ndarray) -> np.ndarray: + return v / (np.linalg.norm(v) + 1e-9) + + +# --------------------------------------------------------------------------- +# Sample loading +# --------------------------------------------------------------------------- + + +@dataclass +class FaceSample: + path: str + shape: tuple[int, int] + embedding: np.ndarray + blur_var: float + align_info: dict + + +def load_folder( + folder: str, aligner: LandmarkAligner, embedder: ArcFaceEmbedder +) -> list[FaceSample]: + samples: list[FaceSample] = [] + names = sorted(os.listdir(folder)) + for name in names: + if name.startswith("."): + continue + path = os.path.join(folder, name) + if not os.path.isfile(path): + continue + img = cv2.imread(path) + if img is None: + print(f" [skip unreadable] {name}") + continue + aligned, info = aligner.align(img, img.shape[1], img.shape[0]) + emb = embedder.embed(aligned) + samples.append( + FaceSample( + path=path, + shape=(img.shape[1], img.shape[0]), + embedding=emb, + blur_var=laplacian_variance(img), + align_info=info, + ) + ) + return samples + + +def trimmed_mean(embs: Iterable[np.ndarray], trim: float = 0.15) -> np.ndarray: + arr = np.stack(list(embs), axis=0) + return stats.trim_mean(arr, trim, axis=0) + + +# --------------------------------------------------------------------------- +# Baseline analyses (always run) +# --------------------------------------------------------------------------- + + +def summarize_positive(samples: list[FaceSample], mean_emb: np.ndarray) -> None: + """Summary of training set: per-sample cos to class mean, intra-class stats. + + Outliers with cos far below the rest are likely degrading the mean — + they'd be the first candidates the shipped vector-outlier filter drops. + """ + print("\n" + "=" * 78) + print(f"POSITIVE SET ANALYSIS ({len(samples)} images)") + print("=" * 78) + + rows = [] + for s in samples: + cs = cosine(s.embedding, mean_emb) + conf = similarity_to_confidence(cs) + red = blur_reduction(s.blur_var) + rows.append( + dict( + name=os.path.basename(s.path), + shape=f"{s.shape[0]}x{s.shape[1]}", + eye_px=s.align_info["eye_dist_px"], + angle=s.align_info["angle"] + 180, + blur=s.blur_var, + cos=cs, + conf=conf, + red=red, + adj_conf=max(0.0, conf - red), + ) + ) + + rows.sort(key=lambda r: r["cos"]) + sims = np.array([r["cos"] for r in rows]) + print( + f"\nCosine-to-trimmed-mean: mean={sims.mean():.3f} std={sims.std():.3f} " + f"min={sims.min():.3f} max={sims.max():.3f}" + ) + + print("\n-- Worst matches (bottom 10, most likely hurting the mean) --") + print( + f"{'cos':>6} {'conf':>6} {'blur':>7} {'eyes':>6} " + f"{'angle':>6} {'shape':>9} name" + ) + for r in rows[:10]: + print( + f"{r['cos']:6.3f} {r['conf']:6.3f} {r['blur']:7.1f} " + f"{r['eye_px']:6.1f} {r['angle']:6.1f} {r['shape']:>9} {r['name']}" + ) + + print("\n-- Best matches (top 5) --") + for r in rows[-5:][::-1]: + print( + f"{r['cos']:6.3f} {r['conf']:6.3f} {r['blur']:7.1f} " + f"{r['eye_px']:6.1f} {r['angle']:6.1f} {r['shape']:>9} {r['name']}" + ) + + # Pairwise analysis — flags embeddings poorly correlated with the rest + print("\n-- Pairwise intra-class similarity (mean cos vs. other positives) --") + embs = np.stack([s.embedding for s in samples], axis=0) + norms = embs / (np.linalg.norm(embs, axis=1, keepdims=True) + 1e-9) + sim_matrix = norms @ norms.T + np.fill_diagonal(sim_matrix, np.nan) + mean_pairwise = np.nanmean(sim_matrix, axis=1) + names = [os.path.basename(s.path) for s in samples] + ordered = sorted(zip(names, mean_pairwise), key=lambda t: t[1]) + print(f"{'mean_cos':>9} name") + for nm, mp in ordered[:10]: + print(f"{mp:9.3f} {nm}") + print(f"\n overall mean pairwise cos: {np.nanmean(sim_matrix):.3f}") + print(f" median pairwise cos: {np.nanmedian(sim_matrix):.3f}") + + +def summarize_negative( + neg_samples: list[FaceSample], + mean_emb: np.ndarray, + pos_samples: list[FaceSample], +) -> None: + """Score each negative against the class mean, then show its top-3 + nearest positives. High-scoring negatives that match specific outlier + positives hint at training-set contamination. + """ + print("\n" + "=" * 78) + print(f"NEGATIVE SET ANALYSIS ({len(neg_samples)} images)") + print("=" * 78) + print( + f"\n{'cos':>6} {'conf':>6} {'red':>5} {'adj':>5} " + f"{'blur':>7} {'eyes':>6} {'shape':>9} name" + ) + for s in neg_samples: + cs = cosine(s.embedding, mean_emb) + conf = similarity_to_confidence(cs) + red = blur_reduction(s.blur_var) + print( + f"{cs:6.3f} {conf:6.3f} {red:5.2f} {max(0, conf - red):5.2f} " + f"{s.blur_var:7.1f} {s.align_info['eye_dist_px']:6.1f} " + f"{s.shape[0]}x{s.shape[1]:<5} {os.path.basename(s.path)}" + ) + + print("\n-- For each negative, top-3 most similar positives --") + pos_embs = np.stack([p.embedding for p in pos_samples]) + pos_norm = pos_embs / (np.linalg.norm(pos_embs, axis=1, keepdims=True) + 1e-9) + for s in neg_samples: + v = s.embedding / (np.linalg.norm(s.embedding) + 1e-9) + sims = pos_norm @ v + idx = np.argsort(-sims)[:3] + print(f"\n {os.path.basename(s.path)}:") + for i in idx: + print( + f" {sims[i]:6.3f} {os.path.basename(pos_samples[i].path)} " + f"blur={pos_samples[i].blur_var:.1f} " + f"eyes={pos_samples[i].align_info['eye_dist_px']:.1f}" + ) + + +# --------------------------------------------------------------------------- +# Optional diagnostics +# --------------------------------------------------------------------------- + + +def vector_outlier_test( + pos: list[FaceSample], neg: list[FaceSample], base_trim: float = 0.15 +) -> None: + """Measure the shipped vector-wise outlier filter at various thresholds. + + The production filter at `build_class_mean` in + frigate/data_processing/common/face/model.py uses T=0.30. This test + sweeps T so you can see which images would be dropped on a new collection + and how that affects the negative scores. + + Algorithm: iteratively recompute trim_mean on the kept set, drop any + embedding with cos < T to that mean, repeat until converged. Floor at + 50% of the collection to avoid collapse. + """ + print("\n" + "=" * 78) + print("VECTOR-WISE OUTLIER PRE-FILTER — layered on trim_mean(0.15)") + print("=" * 78) + + all_embs = np.stack([s.embedding for s in pos]) + + def iterative_mean( + embs: np.ndarray, + threshold: float, + iters: int = 3, + min_keep_frac: float = 0.5, + ) -> tuple[np.ndarray, np.ndarray]: + keep = np.ones(len(embs), dtype=bool) + floor = max(5, int(np.ceil(min_keep_frac * len(embs)))) + for _ in range(iters): + m = stats.trim_mean(embs[keep], base_trim, axis=0) + m_norm = m / (np.linalg.norm(m) + 1e-9) + e_norms = embs / (np.linalg.norm(embs, axis=1, keepdims=True) + 1e-9) + cos_to_mean = e_norms @ m_norm + new_keep = cos_to_mean >= threshold + if new_keep.sum() < floor: + top_idx = np.argsort(-cos_to_mean)[:floor] + new_keep = np.zeros_like(new_keep) + new_keep[top_idx] = True + if np.array_equal(new_keep, keep): + break + keep = new_keep + final = stats.trim_mean(embs[keep], base_trim, axis=0) + return final, keep + + provisional = stats.trim_mean(all_embs, base_trim, axis=0) + p_norm = provisional / (np.linalg.norm(provisional) + 1e-9) + e_norms_all = all_embs / (np.linalg.norm(all_embs, axis=1, keepdims=True) + 1e-9) + cos_to_prov = e_norms_all @ p_norm + print("\nDistribution of cos(positive, provisional trim_mean):") + print( + f" min={cos_to_prov.min():.3f} p10={np.percentile(cos_to_prov, 10):.3f} " + f"p25={np.percentile(cos_to_prov, 25):.3f} " + f"median={np.median(cos_to_prov):.3f} " + f"p75={np.percentile(cos_to_prov, 75):.3f} max={cos_to_prov.max():.3f}" + ) + + baseline_mean = stats.trim_mean(all_embs, base_trim, axis=0) + baseline_pos = np.array([cosine(p.embedding, baseline_mean) for p in pos]) + baseline_neg = ( + np.array([cosine(n.embedding, baseline_mean) for n in neg]) + if neg + else np.array([]) + ) + baseline_conf_neg = np.array( + [similarity_to_confidence(c) for c in baseline_neg] + ) + + print( + f"\nBaseline (trim_mean only, {len(pos)} images):" + f"\n pos cos min={baseline_pos.min():.3f} " + f"mean={baseline_pos.mean():.3f} max={baseline_pos.max():.3f}" + ) + if len(neg): + print( + f" neg cos min={baseline_neg.min():.3f} " + f"mean={baseline_neg.mean():.3f} max={baseline_neg.max():.3f}" + ) + print( + f" neg conf min={baseline_conf_neg.min():.3f} " + f"mean={baseline_conf_neg.mean():.3f} max={baseline_conf_neg.max():.3f}" + ) + print( + f" margin (pos.min - neg.max): " + f"{baseline_pos.min() - baseline_neg.max():+.3f}" + ) + + print("\nIterative (refine mean → drop vectors with cos5} {'kept':>6} {'pos min':>7} {'pos mean':>8} " + f"{'neg max':>7} {'neg mean':>8} {'neg conf.max':>12} {'margin':>7}" + ) + for T in [0.15, 0.20, 0.25, 0.28, 0.30, 0.33, 0.36, 0.40]: + mean, keep = iterative_mean(all_embs, T) + pos_sims = np.array([cosine(p.embedding, mean) for p in pos]) + neg_sims = ( + np.array([cosine(n.embedding, mean) for n in neg]) + if neg + else np.array([]) + ) + neg_conf = np.array([similarity_to_confidence(c) for c in neg_sims]) + margin = pos_sims.min() - (neg_sims.max() if len(neg_sims) else 0) + print( + f"{T:5.2f} {int(keep.sum()):>3}/{len(pos):<2} " + f"{pos_sims.min():7.3f} {pos_sims.mean():8.3f} " + f"{neg_sims.max() if len(neg_sims) else float('nan'):7.3f} " + f"{neg_sims.mean() if len(neg_sims) else float('nan'):8.3f} " + f"{neg_conf.max() if len(neg_conf) else float('nan'):12.3f} " + f"{margin:+7.3f}" + ) + + # Show which images get dropped at the shipped threshold + neighbors + for T_show in (0.25, 0.30, 0.33): + _, keep = iterative_mean(all_embs, T_show) + print( + f"\nAt T={T_show}, the {int((~keep).sum())} dropped positives are:" + ) + final_mean = stats.trim_mean(all_embs[keep], base_trim, axis=0) + m_n = final_mean / (np.linalg.norm(final_mean) + 1e-9) + for i, (p, k) in enumerate(zip(pos, keep)): + if not k: + e_n = p.embedding / (np.linalg.norm(p.embedding) + 1e-9) + cos_final = float(e_n @ m_n) + print( + f" cos_to_clean_mean={cos_final:6.3f} " + f"shape={p.shape[0]}x{p.shape[1]} " + f"eyes={p.align_info['eye_dist_px']:6.1f} " + f"blur={p.blur_var:7.1f} " + f"{os.path.basename(p.path)}" + ) + + +def degenerate_embedding_test( + pos: list[FaceSample], neg: list[FaceSample] +) -> None: + """Detect whether negatives and low-quality positives share a degenerate + 'tiny/noisy face' region of the embedding space. + + Signal: if neg-to-neg cos is higher than pos-to-pos cos, the negatives + aren't really per-identity embeddings — they're dominated by upsample / + low-resolution artifacts that all map to a similar corner of embedding + space regardless of who the face belongs to. + + Also rebuilds the mean using only high-intra-similarity positives to + show whether a cleaner training set separates the negatives. + """ + print("\n" + "=" * 78) + print("DEGENERATE-EMBEDDING TEST") + print("=" * 78) + + pos_embs = np.stack([l2(s.embedding) for s in pos]) + neg_embs = np.stack([l2(s.embedding) for s in neg]) + + nn = neg_embs @ neg_embs.T + np.fill_diagonal(nn, np.nan) + pp = pos_embs @ pos_embs.T + np.fill_diagonal(pp, np.nan) + pn = pos_embs @ neg_embs.T + + print( + f"\n neg<->neg mean cos : {np.nanmean(nn):.3f} " + f"(how tightly negatives cluster together)" + ) + print( + f" pos<->pos mean cos : {np.nanmean(pp):.3f} " + f"(how tightly positives cluster)" + ) + print( + f" pos<->neg mean cos : {pn.mean():.3f} " + f"(cross-class — should be low for a clean class)" + ) + if np.nanmean(nn) > np.nanmean(pp): + print( + "\n >> neg<->neg > pos<->pos: negatives cluster more tightly than\n" + " positives. This is the degenerate-embedding signature —\n" + " upsampled tiny crops share a common 'face-like blob' region\n" + " regardless of identity." + ) + + mean_intra = np.nanmean(pp, axis=1) + for thresh in (0.30, 0.33, 0.36): + keep = mean_intra >= thresh + if keep.sum() < 5: + continue + clean_embs = [pos[i].embedding for i in range(len(pos)) if keep[i]] + clean_mean = stats.trim_mean(np.stack(clean_embs), 0.15, axis=0) + neg_scores = np.array([cosine(n.embedding, clean_mean) for n in neg]) + neg_confs = np.array([similarity_to_confidence(c) for c in neg_scores]) + pos_scores = np.array( + [ + cosine(pos[i].embedding, clean_mean) + for i in range(len(pos)) + if keep[i] + ] + ) + print( + f"\n mean_intra >= {thresh}: keeping {int(keep.sum())}/{len(pos)} positives" + ) + print( + f" pos cos vs mean : min={pos_scores.min():.3f} " + f"mean={pos_scores.mean():.3f} max={pos_scores.max():.3f}" + ) + print( + f" neg cos vs mean : min={neg_scores.min():.3f} " + f"mean={neg_scores.mean():.3f} max={neg_scores.max():.3f}" + ) + print( + f" neg conf : min={neg_confs.min():.3f} " + f"mean={neg_confs.mean():.3f} max={neg_confs.max():.3f}" + ) + print( + f" margin (pos.min - neg.max): " + f"{pos_scores.min() - neg_scores.max():+.3f}" + ) + + +def contamination_analysis( + pos: list[FaceSample], neg: list[FaceSample] +) -> None: + """Check whether the positive collection contains a second identity. + + Two signals: + (a) Per-positive: if an image is closer to at least one negative than + to the rest of the positive class, it's likely a mislabeled face. + (b) 2-means split of the positive embeddings: if one cluster center + lands close to the negative mean, that cluster is a contaminating + sub-identity that's pulling the class mean toward the negatives. + """ + print("\n" + "=" * 78) + print("CONTAMINATION ANALYSIS") + print("=" * 78) + + pos_embs = np.stack([l2(s.embedding) for s in pos]) + neg_embs = np.stack([l2(s.embedding) for s in neg]) + pos_names = [os.path.basename(s.path) for s in pos] + + pos_pos = pos_embs @ pos_embs.T + np.fill_diagonal(pos_pos, np.nan) + pos_neg = pos_embs @ neg_embs.T + + mean_intra = np.nanmean(pos_pos, axis=1) + max_to_neg = pos_neg.max(axis=1) + mean_to_neg = pos_neg.mean(axis=1) + + print( + "\nPositives closer to a negative than to their own class avg" + "\n(these are candidates for mislabeled images):" + ) + print( + f"\n{'max_neg':>7} {'mean_neg':>8} {'mean_intra':>10} " + f"{'delta':>6} name" + ) + rows = list(zip(pos_names, max_to_neg, mean_to_neg, mean_intra)) + rows.sort(key=lambda r: -(r[1] - r[3])) + for nm, mxn, mnn, mi in rows[:15]: + delta = mxn - mi + marker = " <<" if delta > 0 else "" + print(f"{mxn:7.3f} {mnn:8.3f} {mi:10.3f} {delta:6.3f} {nm}{marker}") + + # 2-means in cosine space (no sklearn dependency). + print("\n2-means split of positive embeddings (cosine space):") + rng = np.random.default_rng(0) + best = None + for _ in range(5): + idx = rng.choice(len(pos_embs), 2, replace=False) + centers = pos_embs[idx].copy() + for _ in range(50): + sims = pos_embs @ centers.T + labels = np.argmax(sims, axis=1) + new_centers = np.stack( + [ + l2(pos_embs[labels == k].mean(axis=0)) + if np.any(labels == k) + else centers[k] + for k in range(2) + ] + ) + if np.allclose(new_centers, centers): + break + centers = new_centers + tight = float(np.mean([sims[i, labels[i]] for i in range(len(labels))])) + if best is None or tight > best[0]: + best = (tight, labels.copy(), centers.copy()) + + _, labels, centers = best + sizes = [int((labels == k).sum()) for k in range(2)] + neg_mean = l2(neg_embs.mean(axis=0)) + print( + f" cluster 0: size={sizes[0]:>2} " + f"center<->other_center_cos={float(centers[0] @ centers[1]):.3f} " + f"center<->neg_mean_cos={float(centers[0] @ neg_mean):.3f}" + ) + print( + f" cluster 1: size={sizes[1]:>2} " + f"center<->neg_mean_cos={float(centers[1] @ neg_mean):.3f}" + ) + + neg_aligned = 0 if centers[0] @ neg_mean > centers[1] @ neg_mean else 1 + print( + f"\n cluster {neg_aligned} is more similar to the negatives — " + f"its members are the contamination candidates:" + ) + for i, lbl in enumerate(labels): + if lbl == neg_aligned: + print( + f" max_to_neg={max_to_neg[i]:.3f} " + f"mean_intra={mean_intra[i]:.3f} {pos_names[i]}" + ) + + keep_mask = labels != neg_aligned + if keep_mask.sum() >= 3: + clean_embs = [pos[i].embedding for i in range(len(pos)) if keep_mask[i]] + clean_mean = stats.trim_mean(np.stack(clean_embs), 0.15, axis=0) + print( + f"\n Rebuilding class mean from the OTHER cluster " + f"({keep_mask.sum()} images):" + ) + print(f" {'cos':>6} {'conf':>6} name") + for n in neg: + cs = cosine(n.embedding, clean_mean) + cf = similarity_to_confidence(cs) + print(f" {cs:6.3f} {cf:6.3f} {os.path.basename(n.path)}") + + +# --------------------------------------------------------------------------- +# main +# --------------------------------------------------------------------------- + + +def main() -> int: + ap = argparse.ArgumentParser( + description="Analyze a face recognition collection outside Frigate.", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=__doc__, + ) + ap.add_argument("--positive", required=True, help="Training folder for one identity") + ap.add_argument( + "--negative", + default=None, + help="Runtime-crop folder to score against (optional)", + ) + ap.add_argument( + "--model-cache", + default="/config/model_cache", + help="Directory containing facedet/arcface.onnx and facedet/landmarkdet.yaml", + ) + ap.add_argument( + "--trim", + type=float, + default=0.15, + help="trim_mean proportion (Frigate uses 0.15)", + ) + ap.add_argument( + "--vector-outlier", + action="store_true", + help="Sweep the vector-wise outlier filter threshold", + ) + ap.add_argument( + "--degenerate", + action="store_true", + help="Test whether negatives share a degenerate embedding region", + ) + ap.add_argument( + "--contamination", + action="store_true", + help="Check whether the positive folder contains a second identity", + ) + args = ap.parse_args() + + arcface_path = os.path.join(args.model_cache, "facedet", "arcface.onnx") + landmark_path = os.path.join(args.model_cache, "facedet", "landmarkdet.yaml") + for p in (arcface_path, landmark_path): + if not os.path.exists(p): + print(f"ERROR: model file not found: {p}") + return 1 + + print(f"Loading ArcFace from {arcface_path}") + embedder = ArcFaceEmbedder(arcface_path) + print(f"Loading landmark model from {landmark_path}") + aligner = LandmarkAligner(landmark_path) + + print(f"\nLoading positives from {args.positive} ...") + pos = load_folder(args.positive, aligner, embedder) + print(f" {len(pos)} positives loaded") + + neg: list[FaceSample] = [] + if args.negative: + print(f"\nLoading negatives from {args.negative} ...") + neg = load_folder(args.negative, aligner, embedder) + print(f" {len(neg)} negatives loaded") + + if not pos: + print("no positive samples — aborting") + return 1 + + mean_emb = trimmed_mean([s.embedding for s in pos], trim=args.trim) + summarize_positive(pos, mean_emb) + if neg: + summarize_negative(neg, mean_emb, pos) + + if args.vector_outlier: + vector_outlier_test(pos, neg, args.trim) + if args.degenerate and neg: + degenerate_embedding_test(pos, neg) + if args.contamination and neg: + contamination_analysis(pos, neg) + + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/process_clip.py b/testing-scripts/process_clip.py similarity index 100% rename from process_clip.py rename to testing-scripts/process_clip.py diff --git a/web/e2e/specs/export.spec.ts b/web/e2e/specs/export.spec.ts index 4db98d5e95..5b7e9f0b39 100644 --- a/web/e2e/specs/export.spec.ts +++ b/web/e2e/specs/export.spec.ts @@ -1,4 +1,114 @@ import { test, expect } from "../fixtures/frigate-test"; +import { + expectBodyInteractive, + waitForBodyInteractive, +} from "../helpers/overlay-interaction"; + +test.describe("Export Page - Delete race @high", () => { + // Empirical guard for radix-ui/primitives#3445: when a modal DropdownMenu + // opens an AlertDialog and the AlertDialog's confirm action causes the + // parent's optimistic cache update to unmount the card, we want to know + // whether the deduped react-dismissable-layer (1.1.11) handles the + // pointer-events stack cleanup or whether `modal={false}` is still + // required on the DropdownMenu. The classic "canonical" pattern, distinct + // from the FaceSelectionDialog auto-unmount race already covered by + // face-library.spec.ts. + test("deleting an export via dropdown→alert→confirm leaves body interactive", async ({ + frigateApp, + }) => { + if (frigateApp.isMobile) { + test.skip(); + return; + } + + const initialExports = [ + { + id: "export-race-001", + camera: "front_door", + name: "Race - Test Export", + date: 1775490731.3863528, + video_path: "/exports/export-race-001.mp4", + thumb_path: "/exports/export-race-001-thumb.jpg", + in_progress: false, + export_case_id: null, + }, + ]; + let deleted = false; + + await frigateApp.installDefaults({ + exports: initialExports, + }); + + // Flip /api/export to empty after the delete POST is observed so the + // page's SWR mutate sees the export gone. + await frigateApp.page.route("**/api/export**", async (route) => { + const payload = deleted ? [] : initialExports; + await route.fulfill({ json: payload }); + }); + await frigateApp.page.route("**/api/exports/delete", async (route) => { + deleted = true; + const delayMs = Number( + (globalThis as { process?: { env?: Record } }).process + ?.env?.DELETE_DELAY_MS ?? "100", + ); + if (delayMs > 0) { + await new Promise((resolve) => setTimeout(resolve, delayMs)); + } + await route.fulfill({ json: { success: true } }); + }); + + await frigateApp.goto("/export"); + await expect(frigateApp.page.getByText("Race - Test Export")).toBeVisible({ + timeout: 5_000, + }); + + // Open the kebab menu on the export card. The kebab uses the + // (misleading) aria-label "Edit name" from ExportCard's source — it + // wraps the FiMoreVertical icon. There is exactly one such button on + // the page once we have a single export rendered. + const kebab = frigateApp.page + .getByRole("button", { name: /edit name/i }) + .first(); + await expect(kebab).toBeVisible({ timeout: 5_000 }); + await kebab.click(); + + const menu = frigateApp.page + .locator('[role="menu"], [data-radix-menu-content]') + .first(); + await expect(menu).toBeVisible({ timeout: 3_000 }); + + // Delete Export + await menu + .getByRole("menuitem", { name: /delete export/i }) + .first() + .click(); + + // AlertDialog at page level. The confirm button's accessible name is + // "Delete Export" (its aria-label), the visible text is just "Delete". + const confirm = frigateApp.page.getByRole("alertdialog"); + await expect(confirm).toBeVisible({ timeout: 3_000 }); + await confirm + .getByRole("button", { name: /^delete export$/i }) + .first() + .click(); + + // The card optimistically disappears, the dialog closes, and body + // pointer-events must come unstuck. + await expect( + frigateApp.page.getByText("Race - Test Export"), + ).not.toBeVisible({ timeout: 5_000 }); + await waitForBodyInteractive(frigateApp.page, 5_000); + await expectBodyInteractive(frigateApp.page); + + // Sanity: another page-level button still responds. + const newCase = frigateApp.page.getByRole("button", { name: /new case/i }); + await expect(newCase).toBeVisible({ timeout: 3_000 }); + await newCase.click(); + await expect( + frigateApp.page.getByRole("dialog").filter({ hasText: /create case/i }), + ).toBeVisible({ timeout: 3_000 }); + }); +}); test.describe("Export Page - Overview @high", () => { test("renders uncategorized exports and case cards from mock data", async ({ diff --git a/web/e2e/specs/face-library.spec.ts b/web/e2e/specs/face-library.spec.ts index ca21642bd2..e499178b7b 100644 --- a/web/e2e/specs/face-library.spec.ts +++ b/web/e2e/specs/face-library.spec.ts @@ -358,6 +358,158 @@ test.describe("FaceSelectionDialog @high", () => { await frigateApp.page.keyboard.press("Escape"); await expect(menu).not.toBeVisible({ timeout: 3_000 }); }); + + test("classifying the last image in a group leaves body interactive", async ({ + frigateApp, + }) => { + // Regression guard for the stuck body pointer-events bug when the + // last image in a grouped-recognition detail Dialog is classified. + // Tracked upstream at radix-ui/primitives#3445. + // + // Root cause: when the user clicks a FaceSelectionDialog menu item, + // the modal DropdownMenu enters its exit animation (Radix's Presence + // keeps it in the DOM with data-state="closed" until animationend). + // While that is in flight the classify axios resolves, SWR removes + // the image from /api/faces, the parent's map no longer renders the + // grouped card, and React unmounts the subtree — including the still- + // animating DropdownMenu's Presence container. DismissableLayer's + // shared modal-layer stack can't reconcile the interrupted exit, so + // the `body { pointer-events: none }` entry it put on mount is never + // popped and the rest of the UI becomes unclickable. + // + // The fix is `modal={false}` on the FaceSelectionDialog's + // DropdownMenu (desktop path only). With modal=false the DropdownMenu + // never puts an entry on DismissableLayer's body-pointer-events stack + // in the first place, so there's nothing to leak when its Presence is + // torn down mid-animation. The Radix-community-documented workaround + // for #3445. + // + // The bug only reproduces when the mock resolves fast enough that + // the parent unmounts before the dropdown's exit animation finishes. + // Measured window via a 3x sweep on the pre-fix build: 0–200 ms + // triggers it; 300 ms+ no longer reproduces. Production LAN networks + // sit comfortably inside the bad window, while `npm run dev` seems + // to mask it via React StrictMode's double-effect scheduling. + const EVENT_ID = "1775487131.3863528-race"; + const initialFaces = withGroupedTrainingAttempt(basicFacesMock(), { + eventId: EVENT_ID, + attempts: [ + { timestamp: 1775487131.3863528, label: "unknown", score: 0.95 }, + ], + }); + + let classified = false; + + await frigateApp.installDefaults({ + faces: initialFaces, + events: [ + { + id: EVENT_ID, + label: "person", + sub_label: null, + camera: "front_door", + start_time: 1775487131.3863528, + end_time: 1775487161.3863528, + false_positive: false, + zones: ["front_yard"], + thumbnail: null, + has_clip: true, + has_snapshot: true, + retain_indefinitely: false, + plus_id: null, + model_hash: "abc123", + detector_type: "cpu", + model_type: "ssd", + data: { + top_score: 0.92, + score: 0.92, + region: [0.1, 0.1, 0.5, 0.8], + box: [0.2, 0.15, 0.45, 0.75], + area: 0.18, + ratio: 0.6, + type: "object", + path_data: [], + }, + }, + ], + }); + + // Re-route /api/faces to flip to the "train empty" payload once the + // classify POST has been received. Registered AFTER installDefaults so + // Playwright's LIFO route matching hits this handler first. + await frigateApp.page.route("**/api/faces", async (route) => { + const payload = classified ? basicFacesMock() : initialFaces; + await route.fulfill({ json: payload }); + }); + + // Hold the classify POST briefly. The race opens when the parent + // unmounts before the dropdown's exit animation finishes (~200ms + // in Radix). 100ms keeps us comfortably inside that window and + // reliably triggered the bug in a 3x sweep across 0/50/100/200ms + // on the pre-fix build. CLASSIFY_DELAY_MS overrides for local sweeps. + const delayMs = Number( + (globalThis as { process?: { env?: Record } }).process + ?.env?.CLASSIFY_DELAY_MS ?? "100", + ); + await frigateApp.page.route( + "**/api/faces/train/*/classify", + async (route) => { + classified = true; + if (delayMs > 0) { + await new Promise((resolve) => setTimeout(resolve, delayMs)); + } + await route.fulfill({ json: { success: true } }); + }, + ); + + await frigateApp.goto("/faces"); + + // Open the grouped detail Dialog. + const groupedImage = frigateApp.page + .locator('img[src*="clips/faces/train/"]') + .first(); + await expect(groupedImage).toBeVisible({ timeout: 5_000 }); + await groupedImage.locator("xpath=..").click(); + const dialog = frigateApp.page + .getByRole("dialog") + .filter({ + has: frigateApp.page.locator('img[src*="clips/faces/train/"]'), + }) + .first(); + await expect(dialog).toBeVisible({ timeout: 5_000 }); + + // Single attempt → single `+` trigger. + const triggers = dialog.locator('[aria-haspopup="menu"]'); + await expect(triggers).toHaveCount(1); + await triggers.first().click(); + + const menu = frigateApp.page + .locator('[role="menu"], [data-radix-menu-content]') + .first(); + await expect(menu).toBeVisible({ timeout: 5_000 }); + await menu.getByRole("menuitem", { name: /^alice$/i }).click(); + + // The Dialog must leave the tree cleanly, and body must recover. + await expect(dialog).not.toBeVisible({ timeout: 5_000 }); + + // Give Radix's exit animation + cleanup a comfortable margin on top of + // the ~300ms simulated network delay. + await waitForBodyInteractive(frigateApp.page, 5_000); + await expectBodyInteractive(frigateApp.page); + + // User-visible confirmation: click something outside the dialog + // and assert it actually responds. + const librarySelector = frigateApp.page + .getByRole("button") + .filter({ hasText: /\(\d+\)/ }) + .first(); + await librarySelector.click(); + await expect( + frigateApp.page + .locator('[role="menu"], [data-radix-menu-content]') + .first(), + ).toBeVisible({ timeout: 3_000 }); + }); }); test.describe("Face Library — mobile @high @mobile", () => { diff --git a/web/e2e/specs/navigation.spec.ts b/web/e2e/specs/navigation.spec.ts index 592247186c..e14887c157 100644 --- a/web/e2e/specs/navigation.spec.ts +++ b/web/e2e/specs/navigation.spec.ts @@ -69,17 +69,18 @@ test.describe("Navigation — conditional items @critical", () => { ).toBeVisible(); }); - test("/chat is hidden when genai.model is none (desktop)", async ({ + test("/chat is hidden when no agent has the chat role (desktop)", async ({ frigateApp, }) => { test.skip(frigateApp.isMobile, "Desktop sidebar"); await frigateApp.installDefaults({ config: { genai: { - enabled: false, - provider: "ollama", - model: "none", - base_url: "", + descriptions_only: { + provider: "ollama", + model: "llava", + roles: ["descriptions"], + }, }, }, }); @@ -89,12 +90,20 @@ test.describe("Navigation — conditional items @critical", () => { ).toHaveCount(0); }); - test("/chat is visible when genai.model is set (desktop)", async ({ + test("/chat is visible when an agent has the chat role (desktop)", async ({ frigateApp, }) => { test.skip(frigateApp.isMobile, "Desktop sidebar"); await frigateApp.installDefaults({ - config: { genai: { enabled: true, model: "llava" } }, + config: { + genai: { + chat_agent: { + provider: "ollama", + model: "llava", + roles: ["chat"], + }, + }, + }, }); await frigateApp.goto("/"); await expect( diff --git a/web/e2e/specs/replay.spec.ts b/web/e2e/specs/replay.spec.ts index eb19ed57d4..51a42737f0 100644 --- a/web/e2e/specs/replay.spec.ts +++ b/web/e2e/specs/replay.spec.ts @@ -31,7 +31,7 @@ test.describe("Replay — no active session @medium", () => { await expect( frigateApp.page.getByRole("heading", { level: 2, - name: /No Active Replay Session/i, + name: /No Active Debug Replay Session/i, }), ).toBeVisible({ timeout: 10_000 }); const goButton = frigateApp.page.getByRole("button", { @@ -48,7 +48,7 @@ test.describe("Replay — no active session @medium", () => { await expect( frigateApp.page.getByRole("heading", { level: 2, - name: /No Active Replay Session/i, + name: /No Active Debug Replay Session/i, }), ).toBeVisible({ timeout: 10_000 }); await frigateApp.page @@ -129,8 +129,14 @@ test.describe("Replay — active session @medium", () => { ); await actionGroup.first().click(); - const dialog = frigateApp.page.getByRole("dialog"); - await expect(dialog).toBeVisible({ timeout: 5_000 }); + // On mobile PlatformAwareSheet renders a MobilePage (full-screen panel) + // instead of a Radix Dialog, so assert the panel title heading is visible. + await expect( + frigateApp.page.getByRole("heading", { + level: 2, + name: /^Configuration$/i, + }), + ).toBeVisible({ timeout: 5_000 }); }); test("Objects tab renders with the camera_activity objects list", async ({ @@ -297,7 +303,7 @@ test.describe("Replay — mobile @medium @mobile", () => { await expect( frigateApp.page.getByRole("heading", { level: 2, - name: /No Active Replay Session/i, + name: /No Active Debug Replay Session/i, }), ).toBeVisible({ timeout: 10_000 }); }); diff --git a/web/e2e/specs/settings/detectors-and-model.spec.ts b/web/e2e/specs/settings/detectors-and-model.spec.ts new file mode 100644 index 0000000000..f697b2b2d6 --- /dev/null +++ b/web/e2e/specs/settings/detectors-and-model.spec.ts @@ -0,0 +1,55 @@ +/** + * Detectors and model settings page tests -- HIGH tier. + * + * Tests rendering of the merged page and navigation from the Frigate+ page. + */ + +import { test, expect } from "../../fixtures/frigate-test"; + +test.describe("Detectors and model Settings @high", () => { + test("page renders with detector and model cards", async ({ frigateApp }) => { + await frigateApp.goto("/settings?page=systemDetectorsAndModel"); + await frigateApp.page.waitForTimeout(2000); + await expect(frigateApp.page.locator("#pageRoot")).toBeVisible(); + + const text = await frigateApp.page.textContent("#pageRoot"); + expect(text).toContain("Detectors and model"); + expect(text?.toLowerCase()).toContain("detector hardware"); + expect(text?.toLowerCase()).toContain("detection model"); + }); + + test("Frigate+ page links to the merged page", async ({ frigateApp }) => { + await frigateApp.goto("/settings?page=frigateplus"); + await frigateApp.page.waitForTimeout(2000); + + const button = frigateApp.page.getByRole("button", { + name: /Change in Detectors and model/, + }); + + // Button only appears when Frigate+ is enabled in the test config; skip + // the click assertion if it's not present. + if ((await button.count()) > 0) { + await button.first().click(); + await frigateApp.page.waitForURL(/page=systemDetectorsAndModel/); + await expect(frigateApp.page.locator("#pageRoot")).toContainText( + "Detectors and model", + ); + } else { + test.skip( + true, + "Frigate+ not enabled in this test config; skipping link assertion", + ); + } + }); + + test("old systemDetectionModel deep-link no longer routes here", async ({ + frigateApp, + }) => { + await frigateApp.goto("/settings?page=systemDetectionModel"); + await frigateApp.page.waitForTimeout(2000); + // The old page key is no longer in allSettingsViews; the router + // falls back to its default settings page (uiSettings). + const text = await frigateApp.page.textContent("#pageRoot"); + expect(text).not.toContain("Detection model"); + }); +}); diff --git a/web/e2e/specs/settings/go2rtc-streams.spec.ts b/web/e2e/specs/settings/go2rtc-streams.spec.ts new file mode 100644 index 0000000000..223a261bef --- /dev/null +++ b/web/e2e/specs/settings/go2rtc-streams.spec.ts @@ -0,0 +1,235 @@ +/** + * go2rtc streams settings page tests -- MEDIUM tier. + * + * Regression coverage for the compat-mode (ffmpeg:) URL editor: unknown + * fragments like #timeout=10 must remain visible and editable when the + * stream is using compatibility mode. + */ + +import { test, expect } from "../../fixtures/frigate-test"; +import type { Page } from "@playwright/test"; + +const STREAM_NAME = "dome_sub"; +const FFMPEG_URL_WITH_TIMEOUT = + "ffmpeg:rtsp://user:pass@192.168.0.20:554/Stream1#video=copy#audio=copy#timeout=10"; + +async function installRawPathsRoute(page: Page, streamUrl: string) { + let lastSavedConfig: unknown = null; + await page.route("**/api/config/raw_paths", (route) => + route.fulfill({ + json: { + cameras: {}, + go2rtc: { streams: { [STREAM_NAME]: [streamUrl] } }, + }, + }), + ); + await page.route("**/api/config/set", async (route) => { + lastSavedConfig = route.request().postDataJSON(); + await route.fulfill({ json: { success: true, require_restart: false } }); + }); + return { + capturedConfig: () => lastSavedConfig, + }; +} + +async function expandStream(page: Page, streamName: string) { + // Each StreamCard renders the stream name as an h4 next to a rename + // button, with the chevron toggle as the last button in the header row. + // Scope to the header row (h4's grandparent) and click that last button. + const headerRow = page + .locator(`h4:text-is("${streamName}")`) + .locator("xpath=../.."); + await headerRow.getByRole("button").last().click(); +} + +test.describe("go2rtc streams settings — ffmpeg compat mode @medium", () => { + test("preserves unknown fragments like #timeout= in the URL input", async ({ + frigateApp, + }) => { + await installRawPathsRoute(frigateApp.page, FFMPEG_URL_WITH_TIMEOUT); + await frigateApp.goto("/settings?page=systemGo2rtcStreams"); + + await expect( + frigateApp.page.getByRole("heading", { name: STREAM_NAME }), + ).toBeVisible(); + + await expandStream(frigateApp.page, STREAM_NAME); + + const urlInput = frigateApp.page.getByPlaceholder( + "e.g., rtsp://user:pass@192.168.1.100/stream", + ); + await expect(urlInput).toBeVisible(); + + // Focus the input so credential masking is bypassed and the raw value + // is rendered — this matches how a user would inspect the URL before + // editing it. + await urlInput.focus(); + await expect(urlInput).toHaveValue( + "rtsp://user:pass@192.168.0.20:554/Stream1#timeout=10", + ); + }); + + test("lets the user add an extra fragment in compat mode", async ({ + frigateApp, + }) => { + const capture = await installRawPathsRoute( + frigateApp.page, + FFMPEG_URL_WITH_TIMEOUT, + ); + await frigateApp.goto("/settings?page=systemGo2rtcStreams"); + await expandStream(frigateApp.page, STREAM_NAME); + + const urlInput = frigateApp.page.getByPlaceholder( + "e.g., rtsp://user:pass@192.168.1.100/stream", + ); + await urlInput.focus(); + await urlInput.fill( + "rtsp://user:pass@192.168.0.20:554/Stream1#timeout=10#backchannel=0", + ); + await urlInput.blur(); + + // Reopen and re-focus to assert the new value round-tripped through + // parseFfmpegBaseAndExtras + buildFfmpegUrl back into the displayed text. + await urlInput.focus(); + await expect(urlInput).toHaveValue( + "rtsp://user:pass@192.168.0.20:554/Stream1#timeout=10#backchannel=0", + ); + + // Save and verify the persisted URL includes both extras after the + // recognized video/audio directives. + await frigateApp.page.getByRole("button", { name: "Save" }).click(); + await expect + .poll(() => capture.capturedConfig(), { timeout: 5_000 }) + .toMatchObject({ + config_data: { + go2rtc: { + streams: { + [STREAM_NAME]: [ + "ffmpeg:rtsp://user:pass@192.168.0.20:554/Stream1#video=copy#audio=copy#timeout=10#backchannel=0", + ], + }, + }, + }, + }); + }); + + test("preserves repeatable #audio= fallback chain and lets the user add another codec", async ({ + frigateApp, + }) => { + const capture = await installRawPathsRoute( + frigateApp.page, + // Idiomatic go2rtc fallback: copy if source has the codec, else transcode + "ffmpeg:rtsp://user:pass@192.168.0.20:554/Stream1#video=copy#audio=copy#audio=opus", + ); + await frigateApp.goto("/settings?page=systemGo2rtcStreams"); + await expandStream(frigateApp.page, STREAM_NAME); + + // Two pre-populated audio rows — one per #audio= fragment. + const audioLabel = frigateApp.page.locator(`label:text-is("Audio")`); + const audioRowsContainer = audioLabel.locator("xpath=../.."); + await expect(audioRowsContainer.getByRole("combobox")).toHaveCount(2); + await expect(audioRowsContainer.getByRole("combobox").first()).toHaveText( + "Copy", + ); + await expect(audioRowsContainer.getByRole("combobox").nth(1)).toHaveText( + "Transcode to Opus", + ); + + // Add a third audio codec via the LuPlus next to the "Audio" label. + await audioRowsContainer + .getByRole("button", { name: "Add audio codec" }) + .click(); + await expect(audioRowsContainer.getByRole("combobox")).toHaveCount(3); + + // Change the newly-added entry to AAC. + await audioRowsContainer.getByRole("combobox").nth(2).click(); + await frigateApp.page + .getByRole("option", { name: "Transcode to AAC" }) + .click(); + + await frigateApp.page.getByRole("button", { name: "Save" }).click(); + await expect + .poll(() => capture.capturedConfig(), { timeout: 5_000 }) + .toMatchObject({ + config_data: { + go2rtc: { + streams: { + [STREAM_NAME]: [ + "ffmpeg:rtsp://user:pass@192.168.0.20:554/Stream1#video=copy#audio=copy#audio=opus#audio=aac", + ], + }, + }, + }, + }); + }); + + test("LuX is only shown on fallback rows and removes only that codec", async ({ + frigateApp, + }) => { + const capture = await installRawPathsRoute( + frigateApp.page, + "ffmpeg:rtsp://user:pass@192.168.0.20:554/Stream1#video=copy#audio=copy#audio=opus", + ); + await frigateApp.goto("/settings?page=systemGo2rtcStreams"); + await expandStream(frigateApp.page, STREAM_NAME); + + const audioLabel = frigateApp.page.locator(`label:text-is("Audio")`); + const audioRowsContainer = audioLabel.locator("xpath=../.."); + const removeButtons = audioRowsContainer.getByRole("button", { + name: "Remove codec", + }); + // Primary (audio=copy) row is permanent and has no X; only the audio=opus + // fallback exposes a remove button. + await expect(removeButtons).toHaveCount(1); + + await removeButtons.first().click(); + await expect(audioRowsContainer.getByRole("combobox")).toHaveCount(1); + await expect(audioRowsContainer.getByRole("combobox")).toHaveText("Copy"); + + await frigateApp.page.getByRole("button", { name: "Save" }).click(); + await expect + .poll(() => capture.capturedConfig(), { timeout: 5_000 }) + .toMatchObject({ + config_data: { + go2rtc: { + streams: { + [STREAM_NAME]: [ + "ffmpeg:rtsp://user:pass@192.168.0.20:554/Stream1#video=copy#audio=copy", + ], + }, + }, + }, + }); + }); + + test("picking Exclude on the primary row drops the #video= fragment entirely", async ({ + frigateApp, + }) => { + const capture = await installRawPathsRoute( + frigateApp.page, + "ffmpeg:rtsp://user:pass@192.168.0.20:554/Stream1#video=copy#audio=copy", + ); + await frigateApp.goto("/settings?page=systemGo2rtcStreams"); + await expandStream(frigateApp.page, STREAM_NAME); + + const videoLabel = frigateApp.page.locator(`label:text-is("Video")`); + const videoRowsContainer = videoLabel.locator("xpath=../.."); + await videoRowsContainer.getByRole("combobox").first().click(); + await frigateApp.page.getByRole("option", { name: "Exclude" }).click(); + + await frigateApp.page.getByRole("button", { name: "Save" }).click(); + await expect + .poll(() => capture.capturedConfig(), { timeout: 5_000 }) + .toMatchObject({ + config_data: { + go2rtc: { + streams: { + [STREAM_NAME]: [ + "ffmpeg:rtsp://user:pass@192.168.0.20:554/Stream1#audio=copy", + ], + }, + }, + }, + }); + }); +}); diff --git a/web/package-lock.json b/web/package-lock.json index aad435de97..cd09b79811 100644 --- a/web/package-lock.json +++ b/web/package-lock.json @@ -54,7 +54,7 @@ "immer": "^10.1.1", "js-yaml": "^4.1.1", "konva": "^10.2.3", - "lodash": "^4.17.23", + "lodash": "^4.18.1", "lucide-react": "^0.577.0", "monaco-yaml": "^5.4.1", "next-themes": "^0.4.6", @@ -7975,9 +7975,9 @@ "dev": true }, "node_modules/fast-uri": { - "version": "3.1.0", - "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.0.tgz", - "integrity": "sha512-iPeeDKJSWf4IEOasVVrknXpaBV0IApz/gp7S2bb7Z4Lljbl2MGJRqInZiUrQwV16cpzw/D3S5j5Julj/gT52AA==", + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.2.tgz", + "integrity": "sha512-rVjf7ArG3LTk+FS6Yw81V1DLuZl1bRbNrev6Tmd/9RaroeeRRJhAt7jg/6YFxbvAQXUCavSoZhPPj6oOx+5KjQ==", "funding": [ { "type": "github", @@ -9636,15 +9636,15 @@ } }, "node_modules/lodash": { - "version": "4.17.23", - "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.23.tgz", - "integrity": "sha512-LgVTMpQtIopCi79SJeDiP0TfWi5CNEc/L/aRdTh3yIvmZXTnheWpKjSZhnvMl8iXbC1tFg9gdHHDMLoV7CnG+w==", + "version": "4.18.1", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.18.1.tgz", + "integrity": "sha512-dMInicTPVE8d1e5otfwmmjlxkZoUpiVLwyeTdUsi/Caj/gfzzblBcCE5sRHV/AsjuCmxWrte2TNGSYuCeCq+0Q==", "license": "MIT" }, "node_modules/lodash-es": { - "version": "4.17.23", - "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.23.tgz", - "integrity": "sha512-LgVTMpQtIopCi79SJeDiP0TfWi5CNEc/L/aRdTh3yIvmZXTnheWpKjSZhnvMl8iXbC1tFg9gdHHDMLoV7CnG+w==", + "version": "4.18.1", + "resolved": "https://registry.npmjs.org/lodash-es/-/lodash-es-4.18.1.tgz", + "integrity": "sha512-J8xewKD/Gk22OZbhpOVSwcs60zhd95ESDwezOFuA3/099925PdHJ7OFHNTGtajL3AlZkykD32HykiMo+BIBI8A==", "license": "MIT" }, "node_modules/lodash.merge": { diff --git a/web/package.json b/web/package.json index 02fcb8ca82..7d22dc7183 100644 --- a/web/package.json +++ b/web/package.json @@ -68,7 +68,7 @@ "immer": "^10.1.1", "js-yaml": "^4.1.1", "konva": "^10.2.3", - "lodash": "^4.17.23", + "lodash": "^4.18.1", "lucide-react": "^0.577.0", "monaco-yaml": "^5.4.1", "next-themes": "^0.4.6", diff --git a/web/public/locales/ar/components/dialog.json b/web/public/locales/ar/components/dialog.json index 42918739f9..acc4c8b1a1 100644 --- a/web/public/locales/ar/components/dialog.json +++ b/web/public/locales/ar/components/dialog.json @@ -6,7 +6,8 @@ "title": "يتم إعادة تشغيل فرايجيت", "content": "العد التنازلي", "button": "فرض إعادة التحميل الآن" - } + }, + "description": "هذا سيؤدي لإيقاف Frigate مؤقتا أثناء إعادة تشغيلها" }, "explore": { "plus": { diff --git a/web/public/locales/ar/config/cameras.json b/web/public/locales/ar/config/cameras.json index a5ec98238e..8cf9fb07b6 100644 --- a/web/public/locales/ar/config/cameras.json +++ b/web/public/locales/ar/config/cameras.json @@ -1,3 +1,6 @@ { - "label": "اعدادات الكاميرا" + "label": "اعدادات الكاميرا", + "name": { + "label": "إسم الكاميرا" + } } diff --git a/web/public/locales/ar/config/global.json b/web/public/locales/ar/config/global.json index 0967ef424b..a663ff699b 100644 --- a/web/public/locales/ar/config/global.json +++ b/web/public/locales/ar/config/global.json @@ -1 +1,6 @@ -{} +{ + "version": { + "label": "إصدار الإعدادات الحالية", + "description": "نسحة عددية أو نصية من الإعدادات الحالية الفعالة للمساعدة على اكتشاف الانتقال أو التغير في الصِّيَغ" + } +} diff --git a/web/public/locales/ar/config/groups.json b/web/public/locales/ar/config/groups.json index 2254e03084..ff73d6a171 100644 --- a/web/public/locales/ar/config/groups.json +++ b/web/public/locales/ar/config/groups.json @@ -1,7 +1,8 @@ { "audio": { "global": { - "detection": "التحري العام" + "detection": "التحري العام", + "sensitivity": "الحساسية العامة" } } } diff --git a/web/public/locales/ar/config/validation.json b/web/public/locales/ar/config/validation.json index 0967ef424b..fef7af713e 100644 --- a/web/public/locales/ar/config/validation.json +++ b/web/public/locales/ar/config/validation.json @@ -1 +1,4 @@ -{} +{ + "minimum": "يجب أن تكون {{limit}} على الأقل", + "maximum": "يجب أن تكون {{limit}} كحد أقصى" +} diff --git a/web/public/locales/ar/views/chat.json b/web/public/locales/ar/views/chat.json new file mode 100644 index 0000000000..961cd84043 --- /dev/null +++ b/web/public/locales/ar/views/chat.json @@ -0,0 +1,3 @@ +{ + "documentTitle": "المحادثات - Frigate" +} diff --git a/web/public/locales/ar/views/motionSearch.json b/web/public/locales/ar/views/motionSearch.json new file mode 100644 index 0000000000..119c06ea2d --- /dev/null +++ b/web/public/locales/ar/views/motionSearch.json @@ -0,0 +1,3 @@ +{ + "documentTitle": "البحث عن الحركة - Frigate" +} diff --git a/web/public/locales/ar/views/replay.json b/web/public/locales/ar/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ar/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/bg/config/global.json b/web/public/locales/bg/config/global.json index 0967ef424b..ad191cd667 100644 --- a/web/public/locales/bg/config/global.json +++ b/web/public/locales/bg/config/global.json @@ -1 +1,8 @@ -{} +{ + "auth": { + "label": "Автентикация", + "session_length": { + "label": "Продължителност на сесията" + } + } +} diff --git a/web/public/locales/bg/views/chat.json b/web/public/locales/bg/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/bg/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/bg/views/motionSearch.json b/web/public/locales/bg/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/bg/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/bg/views/replay.json b/web/public/locales/bg/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/bg/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/bs/audio.json b/web/public/locales/bs/audio.json new file mode 100644 index 0000000000..4ee2ca993d --- /dev/null +++ b/web/public/locales/bs/audio.json @@ -0,0 +1,503 @@ +{ + "speech": "Govor", + "babbling": "Babavljanje", + "bicycle": "Kolo", + "yell": "Vik", + "bellow": "Bubanj", + "whoop": "Vrisak", + "whispering": "Šaputanje", + "laughter": "Smijeh", + "snicker": "Prijem", + "crying": "Plač", + "sigh": "Usklik", + "singing": "Pjevanje", + "choir": "Hors", + "yodeling": "Jodelanje", + "chant": "Pjevanje", + "mantra": "Mantra", + "child_singing": "Dječje pjevanje", + "synthetic_singing": "Sintetičko pjevanje", + "rapping": "Rap", + "humming": "Hum", + "groan": "Grokot", + "grunt": "Groktanje", + "whistling": "Pucanje", + "breathing": "Disanje", + "wheeze": "Pijuckanje", + "snoring": "Kicanje", + "gasp": "Udah", + "pant": "Pantanje", + "snort": "Snortanje", + "cough": "Kašljanje", + "throat_clearing": "Očišćavanje grla", + "sneeze": "Prašanje", + "sniff": "Njuhanje", + "run": "Trčanje", + "shuffle": "Prelazak", + "footsteps": "Koraci", + "chewing": "Zubljanje", + "biting": "Gubitak", + "gargling": "Peranje grla", + "stomach_rumble": "Grušenje", + "burping": "Puknutje", + "hiccup": "Kikot", + "fart": "Pucanje", + "hands": "Ruke", + "finger_snapping": "Prašanje prstiju", + "clapping": "Ključanje", + "heartbeat": "Taktilno", + "heart_murmur": "Šum srca", + "cheering": "Pozdrav", + "applause": "Pozdravljati", + "chatter": "Šaputanje", + "crowd": "Gomila", + "children_playing": "Dječja igra", + "animal": "Životinja", + "pets": "Hrana", + "dog": "Pas", + "bark": "Glavu", + "yip": "Jauk", + "howl": "Vijuk", + "bow_wow": "Vau vau", + "growling": "Gručenje", + "whimper_dog": "Pijuckanje psa", + "cat": "Mačka", + "purr": "Mrmor", + "meow": "Mjau", + "hiss": "Zujanje", + "caterwaul": "Krik", + "livestock": "Stoke", + "horse": "Konj", + "clip_clop": "Klik klok", + "neigh": "Kijanje", + "cattle": "Stoke", + "moo": "Muu", + "cowbell": "Kovčeg", + "pig": "Svinja", + "oink": "Roktanje", + "goat": "Koza", + "bleat": "Blejkanje", + "sheep": "Ovca", + "fowl": "Ptica", + "chicken": "Pilica", + "cluck": "Kukanje", + "cock_a_doodle_doo": "Kukavica", + "turkey": "Gusa", + "gobble": "Gubljanje", + "duck": "Kuja", + "quack": "Kvaka", + "goose": "Guska", + "honk": "Trubljenje", + "wild_animals": "Divlja životinja", + "roaring_cats": "Vrišćeći mački", + "roar": "Vrištanje", + "bird": "Ptica", + "chirp": "Pijuckanje", + "squawk": "Krik", + "pigeon": "Papiga", + "coo": "Kukanje", + "crow": "Vran", + "caw": "Vranje", + "owl": "Kukavica", + "hoot": "Kukavica", + "flapping_wings": "Mahanje krilima", + "dogs": "Psi", + "rats": "Štakori", + "mouse": "Miš", + "patter": "Topotanje", + "insect": "Insekt", + "cricket": "Cvrčak", + "mosquito": "Komarac", + "fly": "Muha", + "buzz": "Zujanje", + "frog": "Žaba", + "croak": "Kreketanje", + "snake": "Zmija", + "rattle": "Zveckanje", + "whale_vocalization": "Glasanje kita", + "music": "Muzika", + "musical_instrument": "Muzički instrument", + "plucked_string_instrument": "Plucked String Instrument", + "guitar": "Gitara", + "electric_guitar": "Električna gitara", + "bass_guitar": "Bas gitara", + "acoustic_guitar": "Akustična gitara", + "steel_guitar": "Steel gitara", + "tapping": "Tapping", + "strum": "Strum", + "banjo": "Bendžo", + "sitar": "Sitar", + "mandolin": "Mandolina", + "zither": "Citra", + "ukulele": "Ukulele", + "keyboard": "Klaviatura", + "piano": "Klavir", + "electric_piano": "Električni piano", + "organ": "Orgulje", + "electronic_organ": "Elektronski organ", + "hammond_organ": "Hammond organ", + "synthesizer": "Sintetizator", + "sampler": "Sampler", + "harpsichord": "Harfura", + "percussion": "Percuzija", + "drum_kit": "Set bubnjeva", + "drum_machine": "Mašina za bubnjeve", + "drum": "Bubanj", + "snare_drum": "Bubanj sa zavojima", + "rimshot": "Rimshot", + "drum_roll": "Bubanj za roliranje", + "bass_drum": "Bubanj za bas", + "timpani": "Timpani", + "tabla": "Tabla", + "cymbal": "Cimbale", + "hi_hat": "Hi-Hat", + "wood_block": "Drveni blok", + "tambourine": "Tamburina", + "maraca": "Maraka", + "gong": "Gong", + "tubular_bells": "Cijevasti zvoni", + "mallet_percussion": "Percusija s mljevima", + "marimba": "Marimba", + "glockenspiel": "Glockenspiel", + "vibraphone": "Vibrafon", + "steelpan": "Stelpan", + "orchestra": "Orkestar", + "brass_instrument": "Bronski instrument", + "french_horn": "Francuski rog", + "trumpet": "Truba", + "trombone": "Trombon", + "bowed_string_instrument": "Užadno strunski instrument", + "string_section": "Strunski sekcija", + "violin": "Violina", + "pizzicato": "Pizzicato", + "cello": "Celula", + "double_bass": "Dvostruki bas", + "wind_instrument": "Vjetreni instrument", + "flute": "Flauta", + "saxophone": "Saksafon", + "clarinet": "Klarinet", + "harp": "Harfa", + "bell": "Zvono", + "church_bell": "Crkveno zvono", + "jingle_bell": "Zvono za igračke", + "bicycle_bell": "Zvono za bicikl", + "tuning_fork": "Zvučnik", + "chime": "Zvono", + "wind_chime": "Vjetrenjac", + "harmonica": "Harmonika", + "accordion": "Akkordon", + "bagpipes": "Bogovina", + "didgeridoo": "Didgeridoo", + "theremin": "Teremin", + "singing_bowl": "Pjevni čaša", + "scratching": "Skrečing", + "pop_music": "Pop muzika", + "hip_hop_music": "Hip-Hop muzika", + "beatboxing": "Bitboksing", + "rock_music": "Rock muzika", + "heavy_metal": "Heavy metal", + "punk_rock": "Punk rock", + "grunge": "Grandž", + "progressive_rock": "Progressivni rock", + "rock_and_roll": "Rock and roll", + "psychedelic_rock": "Psihederički rock", + "rhythm_and_blues": "Ritam i blues", + "soul_music": "Soul glazba", + "reggae": "Rege", + "country": "Kantri", + "swing_music": "Swing glazba", + "bluegrass": "Bluegrass", + "funk": "Fank", + "folk_music": "Folklorno glazba", + "middle_eastern_music": "Glazba Bliskog istoka", + "jazz": "Džez", + "disco": "Disko", + "classical_music": "Klasična glazba", + "opera": "Opera", + "electronic_music": "Elektronska glazba", + "house_music": "House glazba", + "techno": "Tehno", + "dubstep": "Dubstep", + "drum_and_bass": "Drum i bass", + "electronica": "Elektronika", + "electronic_dance_music": "Elektronska plesna glazba", + "ambient_music": "Ambient glazba", + "trance_music": "Trance glazba", + "music_of_latin_america": "Glazba Latinske Amerike", + "salsa_music": "Salsa glazba", + "flamenco": "Flamenko", + "blues": "Bluz", + "music_for_children": "Muzika za djecu", + "new-age_music": "Muzika novog doba", + "vocal_music": "Vokalna muzika", + "a_capella": "A Capella", + "music_of_africa": "Afrička muzika", + "afrobeat": "Afrobeat", + "christian_music": "Kršćanska muzika", + "gospel_music": "Gospel muzika", + "music_of_asia": "Azijatska muzika", + "carnatic_music": "Karnatička muzika", + "music_of_bollywood": "Bollywood muzika", + "ska": "Ska", + "traditional_music": "Tradicionalna muzika", + "independent_music": "Nezavisna muzika", + "song": "Pjesma", + "background_music": "Pozadinska muzika", + "theme_music": "Tema muzika", + "jingle": "Jingle", + "soundtrack_music": "Soundtrack muzika", + "lullaby": "Pjesma za uspavanje", + "video_game_music": "Muzika za video igre", + "christmas_music": "Božićna muzika", + "dance_music": "Dance muzika", + "wedding_music": "Venčanska glazba", + "happy_music": "Sretna glazba", + "sad_music": "Tužna glazba", + "tender_music": "Tenderna glazba", + "exciting_music": "Uzbudljiva glazba", + "angry_music": "Zlobna glazba", + "scary_music": "Strašna glazba", + "wind": "Vjetar", + "rustling_leaves": "Šum listova", + "wind_noise": "Šum vjetra", + "thunderstorm": "Grmljavina", + "thunder": "Grmljavac", + "water": "Voda", + "rain": "Kisa", + "raindrop": "Kap kise", + "rain_on_surface": "Kisa na površini", + "stream": "Tok", + "waterfall": "Padina", + "ocean": "Okean", + "waves": "Valovi", + "steam": "Par", + "gurgling": "Gurkanje", + "fire": "Vatra", + "crackle": "Krik", + "vehicle": "Vozilo", + "boat": "Brod", + "sailboat": "Jedrilica", + "rowboat": "Čamac", + "motorboat": "Motorni čamac", + "ship": "Brod", + "motor_vehicle": "Motorno vozilo", + "car": "Automobil", + "toot": "Zvuk klaksona", + "car_alarm": "Automobilski alarm", + "power_windows": "Električna prozora", + "skidding": "Klizanje", + "tire_squeal": "Krik kotača", + "car_passing_by": "Automobil prolazi", + "race_car": "Racing automobil", + "truck": "Kamion", + "air_brake": "Vazdušni kočnici", + "air_horn": "Vazdušni signal", + "reversing_beeps": "Zvukovi za odlazak unazad", + "ice_cream_truck": "Kamion za sladoled", + "bus": "Autobus", + "emergency_vehicle": "Hitni vozilo", + "police_car": "Policijski automobil", + "ambulance": "Ambulansa", + "fire_engine": "Pogonski automobil", + "motorcycle": "Motocikl", + "traffic_noise": "Prometni šum", + "rail_transport": "Željeznički transport", + "train": "Vlak", + "train_whistle": "Vlakovni svirac", + "train_horn": "Vlakovni rohorn", + "railroad_car": "Željeznički vagon", + "train_wheels_squealing": "Vlakove točkove koje zavijaju", + "subway": "Metropolitena", + "aircraft": "Avion", + "aircraft_engine": "Avionski motor", + "jet_engine": "Reaktivni motor", + "propeller": "Vijak", + "helicopter": "Heličopter", + "fixed-wing_aircraft": "Avion s krilima", + "skateboard": "Skejtbord", + "engine": "Motor", + "light_engine": "Lagani motor", + "dental_drill's_drill": "Stomatološki bušilica", + "lawn_mower": "Kosilica", + "chainsaw": "Pilica", + "medium_engine": "Srednji motor", + "heavy_engine": "Teški motor", + "engine_knocking": "Kloping motora", + "engine_starting": "Pokretanje motora", + "idling": "Miris", + "accelerating": "Ubrzavanje", + "door": "Vrata", + "doorbell": "Zvonce", + "ding-dong": "Ding-dong", + "sliding_door": "Klizna vrata", + "slam": "Zatvaranje", + "knock": "Kucanje", + "tap": "Kucanje", + "squeak": "Krik", + "cupboard_open_or_close": "Otvorenje ili zatvaranje police", + "drawer_open_or_close": "Otvorenje ili zatvaranje vunca", + "dishes": "Posuđe", + "cutlery": "Posuđe za jelo", + "chopping": "Rezanje", + "frying": "Praženje", + "microwave_oven": "Mikrotalasna pećnica", + "blender": "Miksere", + "water_tap": "Kran", + "sink": "Lavabo", + "bathtub": "Kupatilo", + "hair_dryer": "Sušilac za kosu", + "toilet_flush": "Očišćavanje toaleta", + "toothbrush": "Šetka za zube", + "electric_toothbrush": "Električna šetka za zube", + "vacuum_cleaner": "Praškoljac", + "zipper": "Zatvarac", + "keys_jangling": "Ključevi koji se škripi", + "coin": "Novčanik", + "scissors": "Škare", + "electric_shaver": "Električni šavac", + "shuffling_cards": "Premještanje karata", + "typing": "Kucanje", + "typewriter": "Tipkovnica", + "computer_keyboard": "Računalna tipkovnica", + "writing": "Pisanje", + "alarm": "Alarm", + "telephone": "Telefon", + "telephone_bell_ringing": "Zvono telefona", + "ringtone": "Ton za poziv", + "telephone_dialing": "Pozivanje telefona", + "dial_tone": "Ton za poziv", + "busy_signal": "Signal zauzetosti", + "alarm_clock": "Budilica", + "siren": "Sirena", + "civil_defense_siren": "Sirena za civilnu zaštitu", + "buzzer": "Buzer", + "smoke_detector": "Detektor dima", + "fire_alarm": "Pozar alarm", + "foghorn": "Mlazni svirac", + "whistle": "Štiklja", + "steam_whistle": "Parni zvono", + "mechanisms": "Mehanizmi", + "ratchet": "Ratchet", + "clock": "Sat", + "tick": "Tik", + "tick-tock": "Tik-tak", + "gears": "Zupčanici", + "pulleys": "Koturači", + "sewing_machine": "Šitna mašina", + "mechanical_fan": "Mehanički ventilator", + "air_conditioning": "Klima uređaj", + "cash_register": "Gotovinska kasica", + "printer": "Štampač", + "camera": "Kamera", + "single-lens_reflex_camera": "Kamera s jednim objektivom", + "tools": "Alati", + "hammer": "Klubica", + "jackhammer": "Betonomijak", + "sawing": "Sečenje", + "filing": "Flešanje", + "sanding": "Šljokanje", + "power_tool": "Električni alat", + "drill": "Bušilica", + "explosion": "Eksplozija", + "gunshot": "Pucanj", + "machine_gun": "Automatska puška", + "fusillade": "Fusiladža", + "artillery_fire": "Pucanj topovima", + "cap_gun": "Pistolj za pucanje", + "fireworks": "Pucanje svjetiljki", + "firecracker": "Svjetiljka", + "burst": "Izbič", + "eruption": "Eruptija", + "boom": "Tutnjava", + "wood": "Drvo", + "chop": "Rezanje", + "splinter": "Razlomak", + "crack": "Klackanje", + "glass": "Staklo", + "chink": "Prozor", + "shatter": "Razbijanje", + "silence": "Tišina", + "sound_effect": "Zvučni efekt", + "environmental_noise": "Okolišni šum", + "static": "Statički šum", + "white_noise": "Bijeli šum", + "pink_noise": "Rumeni šum", + "television": "Televizija", + "radio": "Radio", + "field_recording": "Snimka na terenu", + "scream": "Vrisak", + "sodeling": "Sodeling", + "chird": "Chird", + "change_ringing": "Promjena zvona", + "shofar": "Šofar", + "liquid": "Tekućina", + "splash": "Pljuskanje", + "slosh": "Sloš", + "squish": "Škripanje", + "drip": "Kapanje", + "pour": "Prelivanje", + "trickle": "Tijek", + "gush": "Gusenje", + "fill": "Popunjavanje", + "spray": "Sprajanje", + "pump": "Pumpa", + "stir": "Miješanje", + "boiling": "Vrećenje", + "sonar": "Sonar", + "arrow": "Strela", + "whoosh": "Šum", + "thump": "Tupanje", + "thunk": "Tunk", + "electronic_tuner": "Elektronski tuner", + "effects_unit": "Jedinica efekata", + "chorus_effect": "Efekt korusa", + "basketball_bounce": "Košarkaški skok", + "bang": "Bum", + "slap": "Pljeska", + "whack": "Perc", + "smash": "Sprem", + "breaking": "Raskidanje", + "bouncing": "Skakanje", + "whip": "Škripanje", + "flap": "Klizanje", + "scratch": "Oštećenje", + "scrape": "Prašenje", + "rub": "Trenje", + "roll": "Kotrljanje", + "crushing": "Stiskanje", + "crumpling": "Sklapanje", + "tearing": "Raskidanje", + "beep": "Bip", + "ping": "Poziv", + "ding": "Ding", + "clang": "Zveket", + "squeal": "Cika", + "creak": "Škripa", + "rustle": "Šuškanje", + "whir": "Brujanje", + "clatter": "Tropot", + "sizzle": "Šištanje", + "clicking": "Klikanje", + "clickety_clack": "Klik-tak", + "rumble": "Rumbljanje", + "plop": "Pljus", + "hum": "Pjevušenje", + "zing": "Zing", + "boing": "Boing", + "crunch": "Crunch", + "sine_wave": "Sinusna valna", + "harmonic": "Harmonični", + "chirp_tone": "Tanjirasti ton", + "pulse": "Impuls", + "inside": "Unutra", + "outside": "Van", + "reverberation": "Reverberacija", + "echo": "Odjek", + "noise": "Šum", + "mains_hum": "Glavni šum", + "distortion": "Distorzija", + "sidetone": "Sidetone", + "cacophony": "Kacofonija", + "throbbing": "Tremor", + "vibration": "Vibracija" +} diff --git a/web/public/locales/bs/common.json b/web/public/locales/bs/common.json new file mode 100644 index 0000000000..dba59d2091 --- /dev/null +++ b/web/public/locales/bs/common.json @@ -0,0 +1,326 @@ +{ + "time": { + "untilForTime": "Do {{time}}", + "untilForRestart": "Do ponovnog pokretanja Frigate.", + "untilRestart": "Do ponovnog pokretanja", + "never": "Nikad", + "ago": "{{timeAgo}} prije", + "justNow": "Sada", + "today": "Danas", + "yesterday": "Jučer", + "last7": "Prošlih 7 dana", + "last14": "Prošlih 14 dana", + "last30": "Prošlih 30 dana", + "thisWeek": "Ova sedmica", + "lastWeek": "Prošla sedmica", + "thisMonth": "Ovaj mjesec", + "lastMonth": "Prošli mjesec", + "5minutes": "5 minuta", + "10minutes": "10 minuta", + "30minutes": "30 minuta", + "1hour": "1 sat", + "12hours": "12 sati", + "24hours": "24 sata", + "pm": "posle podne", + "am": "pre podne", + "yr": "{{time}} god", + "year_one": "{{time}} godina", + "year_few": "{{time}} godine", + "year_other": "{{time}} godina", + "mo": "{{time}} mjes", + "month_one": "{{time}} mjesec", + "month_few": "{{time}} mjeseca", + "month_other": "{{time}} mjeseci", + "d": "{{time}}d", + "day_one": "{{time}} dan", + "day_few": "{{time}} dana", + "day_other": "{{time}} dana", + "h": "{{time}}h", + "hour_one": "{{time}} sat", + "hour_few": "{{time}} sata", + "hour_other": "{{time}} sati", + "m": "{{time}}m", + "minute_one": "{{time}} minuta", + "minute_few": "{{time}} minute", + "minute_other": "{{time}} minuta", + "s": "{{time}}s", + "second_one": "{{time}} sekunda", + "second_few": "{{time}} sekunde", + "second_other": "{{time}} sekundi", + "formattedTimestamp": { + "12hour": "MMM d, h:mm:ss aaa", + "24hour": "MMM d, HH:mm:ss" + }, + "formattedTimestamp2": { + "12hour": "MM/dd h:mm:ssa", + "24hour": "d MMM HH:mm:ss" + }, + "formattedTimestampHourMinute": { + "12hour": "h:mm aaa", + "24hour": "HH:mm" + }, + "formattedTimestampHourMinuteSecond": { + "12hour": "h:mm:ss aaa", + "24hour": "HH:mm:ss" + }, + "formattedTimestampMonthDayHourMinute": { + "12hour": "MMM d, h:mm aaa", + "24hour": "MMM d, HH:mm" + }, + "formattedTimestampMonthDayYear": { + "12hour": "MMM d, yyyy", + "24hour": "MMM d, yyyy" + }, + "formattedTimestampMonthDayYearHourMinute": { + "12hour": "MMM d yyyy, h:mm aaa", + "24hour": "MMM d yyyy, HH:mm" + }, + "formattedTimestampMonthDay": "MMM d", + "formattedTimestampFilename": { + "12hour": "MM-dd-yy-h-mm-ss-a", + "24hour": "MM-dd-yy-HH-mm-ss" + }, + "inProgress": "U toku", + "invalidStartTime": "Neispravno početno vrijeme", + "invalidEndTime": "Neispravno krajnje vrijeme" + }, + "unit": { + "speed": { + "mph": "mph", + "kph": "kph" + }, + "length": { + "feet": "fut", + "meters": "metar" + }, + "data": { + "kbps": "kB/s", + "mbps": "MB/s", + "gbps": "GB/s", + "kbph": "kB/hour", + "mbph": "MB/hour", + "gbph": "GB/hour" + } + }, + "label": { + "back": "Povratak", + "hide": "Sakrij {{item}}", + "show": "Prikaži {{item}}", + "ID": "ID", + "none": "Nijedan", + "all": "Sve", + "other": "Ostalo" + }, + "list": { + "two": "{{0}} i {{1}}", + "many": "{{items}}, i {{last}}", + "separatorWithSpace": ", " + }, + "field": { + "optional": "Opcionalno", + "internalID": "Unutarnji ID koji Frigate koristi u konfiguraciji i bazi podataka" + }, + "button": { + "add": "Dodaj", + "apply": "Primijeni", + "applying": "Primjenjuje se…", + "reset": "Resetuj", + "undo": "Poništi", + "done": "Gotovo", + "enabled": "Omogućeno", + "enable": "Omogući", + "disabled": "Onemogućeno", + "disable": "Onemogući", + "save": "Sačuvaj", + "saving": "Sačuvanje…", + "cancel": "Otkaži", + "close": "Zatvori", + "copy": "Kopiraj", + "copiedToClipboard": "Kopirano u međuspremnik", + "back": "Nazad", + "history": "Historija", + "fullscreen": "Pun ekran", + "exitFullscreen": "Napusti pun ekran", + "pictureInPicture": "Slika u slici", + "twoWayTalk": "Dvostrani razgovor", + "cameraAudio": "Zvuk kamere", + "on": "Uključeno", + "off": "Isključeno", + "edit": "Uredi", + "copyCoordinates": "Kopiraj koordinate", + "delete": "Obriši", + "yes": "Da", + "no": "Ne", + "download": "Preuzmi", + "info": "Informacija", + "suspended": "Otkazano", + "unsuspended": "Ponovi", + "play": "Reproduciraj", + "unselect": "Odznači", + "export": "Izvoz", + "deleteNow": "Obriši sada", + "next": "Sljedeće", + "continue": "Nastavi", + "modified": "Izmijenjeno", + "overridden": "Preklopljeno", + "resetToGlobal": "Vrati na globalno", + "resetToDefault": "Vrati na podrazumijevano", + "saveAll": "Sačuvaj sve", + "savingAll": "Sačuvanje svih…", + "undoAll": "Poništi sve", + "retry": "Pokušaj ponovno" + }, + "menu": { + "system": "Sistem", + "systemMetrics": "Sistem metrike", + "configuration": "Konfiguracija", + "systemLogs": "Sistemski zapisi", + "profiles": "Profili", + "settings": "Postavke", + "configurationEditor": "Uređivač konfiguracije", + "languages": "Jezici", + "language": { + "en": "Engleski (English)", + "es": "Španjolski (Spanish)", + "zhCN": "Jednostavni kineski (Simplified Chinese)", + "hi": "Hindi (Hindi)", + "fr": "Francuski (French)", + "ar": "Arapski (Arabic)", + "pt": "Portugalski (Portuguese)", + "ptBR": "Portugalski brazilski (Brazilian Portuguese)", + "ru": "Ruski (Russian)", + "de": "Nemački (German)", + "ja": "Japanski (Japanese)", + "tr": "Turski (Turkish)", + "it": "Talijanski (Italian)", + "nl": "Nizozemski (Dutch)", + "sv": "Švedski (Swedish)", + "cs": "Češki (Czech)", + "nb": "Norveški bokmål (Norwegian Bokmål)", + "ko": "Koreanski (Korean)", + "vi": "Vietnamski (Vietnamese)", + "fa": "Perzijski (Persian)", + "pl": "Polski (Poljski)", + "uk": "Українська (Ukrajinski)", + "he": "עברית (Hebrejski)", + "el": "Ελληνικά (Grčki)", + "ro": "Română (Romunski)", + "hu": "Magyar (Mađarski)", + "fi": "Suomi (Finski)", + "da": "Dansk (Danski)", + "sk": "Slovenčina (Slovački)", + "yue": "粵語 (Kantonski)", + "th": "ไทย (Tajski)", + "ca": "Català (Katalonski)", + "hr": "Hrvatski (Hrvatski)", + "sr": "Српски (Srpski)", + "sl": "Slovenščina (Slovenski)", + "lt": "Lietuvių (Lietuvių)", + "bg": "Български (Bugarinski)", + "gl": "Galego (Galicijski)", + "id": "Bahasa Indonesia (Indoneziski)", + "ur": "اردو (Urdu)", + "withSystem": { + "label": "Koristite postavke sistema za jezik" + } + }, + "appearance": "Izgled", + "darkMode": { + "label": "Tamni režim", + "light": "Svijetla", + "dark": "Tamna", + "withSystem": { + "label": "Koristite postavke sistema za svjetlosni ili tamni režim" + } + }, + "withSystem": "Sistem", + "theme": { + "label": "Tema", + "blue": "Plava", + "green": "Zelena", + "nord": "Nord", + "red": "Crvena", + "highcontrast": "Visok kontrast", + "default": "Zadano" + }, + "help": "Pomoć", + "documentation": { + "title": "Dokumentacija", + "label": "Dokumentacija za Frigate" + }, + "restart": "Ponovno pokreni Frigate", + "live": { + "title": "Uživo", + "allCameras": "Sve Kamere", + "cameras": { + "title": "Kamere", + "count_one": "{{count}} Kamera", + "count_few": "{{count}} Kamere", + "count_other": "{{count}} Kamere" + } + }, + "review": "Pregled", + "explore": "Istraži", + "export": "Izvoz", + "actions": "Akcije", + "uiPlayground": "UI Playground", + "features": "Funkcije", + "faceLibrary": "Biblioteka lica", + "classification": "Klasifikacija", + "chat": "Razgovor", + "user": { + "title": "Korisnik", + "account": "Račun", + "current": "Trenutni korisnik: {{user}}", + "anonymous": "anons", + "logout": "Odjava", + "setPassword": "Postavi lozinku" + } + }, + "toast": { + "copyUrlToClipboard": "URL kopiran u međuspremnik.", + "save": { + "title": "Sačuvaj", + "error": { + "title": "Nije uspješno sačuvana promjena konfiguracije: {{errorMessage}}", + "noMessage": "Nije uspješno sačuvana promjena konfiguracije" + }, + "success": "Uspješno sačuvana promjena konfiguracije." + } + }, + "role": { + "title": "Uloga", + "admin": "Administrator", + "viewer": "Pregledač", + "desc": "Admini imaju pun pristup svim funkcijama u korisničkom sučelju Frigate. Pregledači su ograničeni na pregled kamere, pregled stavki i povijesne snimke u korisničkom sučelju." + }, + "pagination": { + "label": "paginacija", + "previous": { + "title": "Prethodno", + "label": "Idi na prethodnu stranicu" + }, + "next": { + "title": "Sljedeće", + "label": "Idi na sljedeću stranicu" + }, + "more": "Više stranica" + }, + "accessDenied": { + "documentTitle": "Pristup odbijen - Frigate", + "title": "Pristup odbijen", + "desc": "Nemate dozvolu za pregled ove stranice." + }, + "notFound": { + "documentTitle": "Nije pronađeno - Frigate", + "title": "404", + "desc": "Stranica nije pronađena" + }, + "selectItem": "Odaberite {{item}}", + "readTheDocumentation": "Pročitajte dokumentaciju", + "information": { + "pixels": "{{area}}px" + }, + "no_items": "Nema stavki", + "validation_errors": "Greške validacije" +} diff --git a/web/public/locales/bs/components/auth.json b/web/public/locales/bs/components/auth.json new file mode 100644 index 0000000000..42bac9b61d --- /dev/null +++ b/web/public/locales/bs/components/auth.json @@ -0,0 +1,16 @@ +{ + "form": { + "user": "Korisničko ime", + "password": "Lozinka", + "login": "Prijava", + "firstTimeLogin": "Pokušavate se prijaviti prvi put? Vjerodajnice su ispisane u logovima Frigate.", + "errors": { + "usernameRequired": "Korisničko ime je obavezno", + "passwordRequired": "Lozinka je obavezna", + "rateLimit": "Premašen je limit brzine. Pokušajte kasnije.", + "loginFailed": "Prijava nije uspješna", + "unknownError": "Nepoznata greška. Provjerite zapise.", + "webUnknownError": "Nepoznata greška. Provjerite konzolne zapise." + } + } +} diff --git a/web/public/locales/bs/components/camera.json b/web/public/locales/bs/components/camera.json new file mode 100644 index 0000000000..68c8fdfa78 --- /dev/null +++ b/web/public/locales/bs/components/camera.json @@ -0,0 +1,87 @@ +{ + "group": { + "label": "Grupe kamere", + "add": "Dodaj grupu kamere", + "edit": "Uredi grupu kamera", + "delete": { + "label": "Obriši grupu kamere", + "confirm": { + "title": "Potvrdi brisanje", + "desc": "Sigurno li želite da obrišete grupu kamere {{name}}?" + } + }, + "name": { + "label": "Ime", + "placeholder": "Unesite ime…", + "errorMessage": { + "mustLeastCharacters": "Ime grupe kamere mora imati najmanje 2 karaktera.", + "exists": "Ime grupe kamere već postoji.", + "nameMustNotPeriod": "Ime grupe kamere ne smije sadržavati tačku.", + "invalid": "Neispravno ime grupe kamere." + } + }, + "cameras": { + "label": "Kamere", + "desc": "Odaberite kamere za ovu grupu." + }, + "icon": "Ikona", + "success": "Grupa kamere ({{name}}) je sačuvana.", + "camera": { + "birdseye": "Birdseye", + "setting": { + "label": "Postavke prenošenja kamere", + "title": "Postavke prenošenja {{cameraName}}", + "desc": "Promijenite opcije uživo prenošenja za tablicu upravljanja ove grupe kamere. Ove postavke su specifične za uređaj/pretvarač.", + "audioIsAvailable": "Audio je dostupan za ovaj stream", + "audioIsUnavailable": "Zvuk nije dostupan za ovaj tok", + "audio": { + "tips": { + "title": "Audio mora biti izlaz iz vaše kamere i konfiguriran u go2rtc za ovaj stream." + } + }, + "stream": "Tok", + "placeholder": "Odaberite tok", + "streamMethod": { + "label": "Način prenošenja", + "placeholder": "Odaberite način prenošenja", + "method": { + "noStreaming": { + "label": "Bez prenošenja", + "desc": "Slike kamere će se ažurirati samo jednom na minut i neće se dogoditi uživo prenošenje." + }, + "smartStreaming": { + "label": "Pametno prenošenje (preporučeno)", + "desc": "Pametno prenošenje će ažurirati sliku kamere jednom na minut kada se ne događa detektovana aktivnost kako bi se uštedjelo na širovini i resursima. Kada se detektuje aktivnost, slika se glatko prebacuje u uživo prenošenje." + }, + "continuousStreaming": { + "label": "Neprekidno prenošenje", + "desc": { + "title": "Slika kamere uvijek će biti živo prenošenje kada je vidljiva na ploči, čak i ako se ne detektira aktivnost.", + "warning": "Neprekidno prenošenje može uzrokovati visoku upotrebu širine pojasa i probleme s performansama. Koristite s oprezom." + } + } + } + }, + "compatibilityMode": { + "label": "Režim kompatibilnosti", + "desc": "Omogućite ovu opciju samo ako se živo prenošenje vaše kamere prikazuje s bojnim artefaktima i dijagonalnom linijom na desnoj strani slike." + } + } + } + }, + "debug": { + "options": { + "label": "Postavke", + "title": "Opcije", + "showOptions": "Prikaži opcije", + "hideOptions": "Sakrij opcije" + }, + "boundingBox": "Okvir", + "timestamp": "Vremenski pečat", + "zones": "Zone", + "mask": "Maska", + "motion": "Kretanje", + "regions": "Regije", + "paths": "Putanje" + } +} diff --git a/web/public/locales/bs/components/dialog.json b/web/public/locales/bs/components/dialog.json new file mode 100644 index 0000000000..95f4adad24 --- /dev/null +++ b/web/public/locales/bs/components/dialog.json @@ -0,0 +1,197 @@ +{ + "restart": { + "title": "Sigurni li ste da želite ponovno pokrenuti Frigate?", + "description": "Ovo privremeno zaustavi Frigate dok se ponovno pokreće.", + "button": "Ponovno pokretanje", + "restarting": { + "title": "Frigate se ponovo pokreće", + "content": "Ova stranica će se ponovno učitati za {{countdown}} sekundi.", + "button": "Silovito ponovno učitavanje sada" + } + }, + "explore": { + "plus": { + "submitToPlus": { + "label": "Pošalji na Frigate+", + "desc": "Predmeti u lokacijama koje želite izbjeći nisu lažni pozitivi. Pošiljanje ih kao lažne pozitive zbunjuje model." + }, + "review": { + "question": { + "label": "Potvrdite ovu oznaku za Frigate Plus", + "ask_a": "Je li ovaj objekt {{label}}?", + "ask_an": "Je li ovaj objekt {{label}}?", + "ask_full": "Je li ovaj objekt {{untranslatedLabel}} ({{translatedLabel}})?" + }, + "state": { + "submitted": "Pošlato" + } + } + }, + "video": { + "viewInHistory": "Pregledajte u povijesti" + } + }, + "export": { + "time": { + "fromTimeline": "Odaberite iz vremenske linije", + "lastHour_one": "Prošli sat", + "lastHour_few": "Prošla {{count}} sata", + "lastHour_other": "Prošlih {{count}} sati", + "custom": "Prilagođeno", + "start": { + "title": "Vrijeme početka", + "label": "Odaberite vrijeme početka" + }, + "end": { + "title": "Vrijeme kraja", + "label": "Odaberite vrijeme kraja" + } + }, + "name": { + "placeholder": "Nazovite izvoz" + }, + "case": { + "newCaseOption": "Napravite novi slučaj", + "newCaseNamePlaceholder": "Novo ime slučaja", + "newCaseDescriptionPlaceholder": "Opis slučaja", + "label": "Slučaj", + "nonAdminHelp": "Za ove izvoze će se stvoriti novi slučaj.", + "placeholder": "Odaberite slučaj" + }, + "select": "Odaberite", + "export": "Izvoz", + "queueing": "Stavljanje izvoza u red...", + "selectOrExport": "Odaberite ili izvozite", + "tabs": { + "export": "Jedna kamera", + "multiCamera": "Više kamera" + }, + "multiCamera": { + "timeRange": "Vremenski opseg", + "selectFromTimeline": "Odaberite iz vremenske linije", + "cameraSelection": "Kamere", + "cameraSelectionHelp": "Kamere s praćenim objektima u ovom vremenskom opsegu su preselektirane", + "checkingActivity": "Provjeravamo aktivnost kamere...", + "noCameras": "Nema dostupnih kamera", + "detectionCount_one": "1 praćen objekt", + "detectionCount_few": "{{count}} praćena objekta", + "detectionCount_other": "{{count}} praćenih objekata", + "nameLabel": "Ime izvoza", + "namePlaceholder": "Nepovlačenje baznog imena za ove izvoze", + "queueingButton": "Stavljanje izvoza u red...", + "exportButton_one": "Izvoz 1 kamere", + "exportButton_few": "Izvoz {{count}} kamere", + "exportButton_other": "Izvoz {{count}} kamera" + }, + "multi": { + "title_one": "Izvoz 1 pregleda", + "title_few": "Izvoz {{count}} pregleda", + "title_other": "Izvoz {{count}} pregleda", + "description": "Izvoz svakog odabranih pregleda. Svi izvozi bit će grupirani pod jedan slučaj.", + "descriptionNoCase": "Izvoz svakog odabranih pregleda.", + "caseNamePlaceholder": "Pregled izvoza - {{date}}", + "exportButton_one": "Izvoz 1 pregleda", + "exportButton_few": "Izvoz {{count}} pregleda", + "exportButton_other": "Izvoz {{count}} pregleda", + "exportingButton": "Izvoz...", + "toast": { + "started_one": "Pokrenut 1 izvoz. Otvaranje slučaja sada.", + "started_few": "Pokrenuta {{count}} izvoza. Otvaranje slučaja sada.", + "started_other": "Pokrenuto {{count}} izvoza. Otvaranje slučaja sada.", + "startedNoCase_one": "Pokrenut 1 izvoz.", + "startedNoCase_few": "Pokrenuta {{count}} izvoza.", + "startedNoCase_other": "Pokrenuto {{count}} izvoza.", + "partial": "Pokrenuto {{successful}} od {{total}} izvoza. Neuspješno: {{failedItems}}", + "failed": "Neuspješno pokretanje {{total}} izvoza. Neuspješno: {{failedItems}}" + } + }, + "toast": { + "success": "Uspješno pokrenut izvoz. Pregledajte datoteku na stranici izvoza.", + "queued": "Izvoz u redu. Pregledajte napredak na stranici izvoza.", + "view": "Pregled", + "batchSuccess_one": "Pokrenut 1 izvoz. Otvaranje slučaja sada.", + "batchSuccess_few": "Pokrenuta {{count}} izvoza. Otvaranje slučaja sada.", + "batchSuccess_other": "Pokrenuto {{count}} izvoza. Otvaranje slučaja sada.", + "batchPartial": "Pokrenuto {{successful}} od {{total}} izvoza. Neuspješne kamere: {{failedCameras}}", + "batchFailed": "Neuspješno pokretanje {{total}} izvoza. Neuspješne kamere: {{failedCameras}}", + "batchQueuedSuccess_one": "U red stavljen 1 izvoz. Otvaranje slučaja sada.", + "batchQueuedSuccess_few": "U red stavljena {{count}} izvoza. Otvaranje slučaja sada.", + "batchQueuedSuccess_other": "U red stavljeno {{count}} izvoza. Otvaranje slučaja sada.", + "batchQueuedPartial": "U redu {{successful}} od {{total}} izvoza. Neuspješne kamere: {{failedCameras}}", + "batchQueueFailed": "Neuspješno dodavanje {{total}} izvoza. Neuspješne kamere: {{failedCameras}}", + "error": { + "failed": "Neuspješno dodavanje izvoza: {{error}}", + "endTimeMustAfterStartTime": "Krajnje vrijeme mora biti nakon početnog vremena", + "noVaildTimeSelected": "Nije odabran valjan vremenski opseg" + } + }, + "fromTimeline": { + "saveExport": "Sačuvaj izvoz", + "queueingExport": "Kopiranje izvoza...", + "previewExport": "Pregled izvoza", + "useThisRange": "Koristi ovaj opseg" + } + }, + "streaming": { + "label": "Tok", + "restreaming": { + "disabled": "Restreaming nije omogućeno za ovu kameru.", + "desc": { + "title": "Postavite go2rtc za dodatne opcije uživog pregleda i zvuk za ovu kameru." + } + }, + "showStats": { + "label": "Prikaži statistiku strima", + "desc": "Omogući ovu opciju da prikaže statistiku prijenosa kao preklapanje na toku kamere." + }, + "debugView": "Pregled za otklanjanje grešaka" + }, + "search": { + "saveSearch": { + "label": "Sačuvaj pretragu", + "desc": "Navedite ime za ovu sačuvanu pretragu.", + "placeholder": "Unesite ime za svoju pretragu", + "overwrite": "{{searchName}} već postoji. Sačuvavanje će prebrisati postojet će vrijednost.", + "success": "Pretraga ({{searchName}}) je sačuvana.", + "button": { + "save": { + "label": "Sačuvaj ovu pretragu" + } + } + } + }, + "recording": { + "shareTimestamp": { + "label": "Dijeli vremensku oznaku", + "title": "Dijeli vremensku oznaku", + "description": "Dijelite URL označen vremenom trenutne pozicije igrača ili odaberite prilagođenu vremensku oznaku. Napomena: ovo nije javni URL za dijeljenje i dostupan je samo korisnicima koji imaju pristup Frigate i ovoj kameri.", + "custom": "Prilagođena vremenska oznaka", + "button": "URL za dijeljenje vremenske oznake", + "shareTitle": "Vremenska oznaka pregleda Frigate: {{camera}}" + }, + "confirmDelete": { + "title": "Potvrdi brisanje", + "desc": { + "selected": "Sigurni li ste da želite izbrisati sve snimljeno video povezano s ovim preglednim stavkom?

Zadržite tipku Shift da biste preskočili ovaj dijalog u budućnosti." + }, + "toast": { + "success": "Video snimke povezane s odabranim preglednim stavcima uspješno su izbrisane.", + "error": "Neuspješno brisanje: {{error}}" + } + }, + "button": { + "export": "Izvoz", + "markAsReviewed": "Označi kao pregledano", + "markAsUnreviewed": "Označi kao nepregledano", + "deleteNow": "Obriši sada" + } + }, + "imagePicker": { + "selectImage": "Odaberite minijaturu praćenog objekta", + "unknownLabel": "Sačuvana slika izazivača", + "search": { + "placeholder": "Pretraga po oznaci ili podoznaci..." + }, + "noImages": "Nema mini prikaza za ovu kameru" + } +} diff --git a/web/public/locales/bs/components/filter.json b/web/public/locales/bs/components/filter.json new file mode 100644 index 0000000000..7578235133 --- /dev/null +++ b/web/public/locales/bs/components/filter.json @@ -0,0 +1,140 @@ +{ + "filter": "Filtar", + "classes": { + "label": "Klase", + "all": { + "title": "Sve klase" + }, + "count_one": "{{count}} Klasa", + "count_other": "{{count}} Klase" + }, + "labels": { + "label": "Oznake", + "all": { + "title": "Sve oznake", + "short": "Oznake" + }, + "count_one": "{{count}} Oznaka", + "count_other": "{{count}} Oznake" + }, + "zones": { + "label": "Zone", + "all": { + "title": "Sve zone", + "short": "Zone" + } + }, + "dates": { + "selectPreset": "Odaberite predpostavku…", + "all": { + "title": "Svi datumi", + "short": "Datumi" + } + }, + "more": "Više filtera", + "reset": { + "label": "Poništi filtere na zadane vrijednosti" + }, + "timeRange": "Vremenski opseg", + "subLabels": { + "label": "Podoznake", + "all": "Sve podoznake" + }, + "attributes": { + "label": "Atributi klasifikacije", + "all": "Svi atributi" + }, + "score": "Rezultat", + "estimatedSpeed": "Procijenjena brzina ({{unit}})", + "features": { + "label": "Funkcije", + "hasSnapshot": "Ima snimak", + "hasVideoClip": "Ima video zapis", + "submittedToFrigatePlus": { + "label": "Predano Frigate+", + "tips": "Prvo morate filtrirati prateće objekte koji imaju snimak.

Prateći objekti bez snimka ne mogu se poslati na Frigate+." + } + }, + "sort": { + "label": "Sortiraj", + "dateAsc": "Datum (Uzlazno)", + "dateDesc": "Datum (Silazno)", + "scoreAsc": "Ocjena objekta (Uzlazno)", + "scoreDesc": "Ocjena objekta (Silazno)", + "speedAsc": "Procijenjena brzina (Uzlazno)", + "speedDesc": "Procijenjena brzina (Silazno)", + "relevance": "Relevantnost" + }, + "cameras": { + "label": "Filter kamere", + "all": { + "title": "Sve Kamere", + "short": "Kamere" + } + }, + "review": { + "showReviewed": "Prikaži pregledane" + }, + "motion": { + "showMotionOnly": "Prikaži samo pokret" + }, + "explore": { + "settings": { + "title": "Postavke", + "defaultView": { + "title": "Zadani prikaz", + "desc": "Kada nisu odabrani filteri, prikazuje se sažetak najnovijih pratećih objekata po oznaci, ili prikazuje se mreža bez filtriranja.", + "summary": "Sažetak", + "unfilteredGrid": "Mreža bez filtriranja" + }, + "gridColumns": { + "title": "Kolone mreže", + "desc": "Odaberite broj kolona u prikazu mreže." + }, + "searchSource": { + "label": "Izvor pretrage", + "desc": "Odaberite da li ćete pretraživati miniaturne slike ili opise vaših praćenih objekata.", + "options": { + "thumbnailImage": "Miniaturna slika", + "description": "Opis" + } + } + }, + "date": { + "selectDateBy": { + "label": "Odaberite datum za filtriranje" + } + } + }, + "logSettings": { + "label": "Filtrirajte nivo zapisa", + "filterBySeverity": "Filtrirajte zapise prema ozbiljnosti", + "loading": { + "title": "Učitavanje", + "desc": "Kada se panel zapisa pomakne do dna, novi zapisi automatski se prikazuju kada se dodaju." + }, + "disableLogStreaming": "Onemogući praćenje zapisa", + "allLogs": "Svi zapisi" + }, + "trackedObjectDelete": { + "title": "Potvrdi brisanje", + "desc": "Brisanje ovih {{objectLength}} praćenih objekata uklanja snimku, bilo koje sačuvane ugradnje, i sve povezane uloge objekata. Snimljeni materijal ovih praćenih objekata u pogledu Historija NEĆE biti obrisan.

Sigurni ste da želite nastaviti?

Zadržite tipku Shift da biste preskočili ovaj dijalog u budućnosti.", + "toast": { + "success": "Praćeni objekti uspješno obrisani.", + "error": "Neuspješno brisanje praćenih objekata: {{errorMessage}}" + } + }, + "zoneMask": { + "filterBy": "Filtriraj po maski zone" + }, + "recognizedLicensePlates": { + "title": "Prepoznate tablice", + "loadFailed": "Neuspješno učitavanje prepoznatih tablica.", + "loading": "Učitavanje prepoznatih tablica…", + "placeholder": "Unesite za pretragu tablica…", + "noLicensePlatesFound": "Nema pronađenih tablica.", + "selectPlatesFromList": "Odaberite jednu ili više tablica iz liste.", + "selectAll": "Odaberite sve", + "clearAll": "Očistite sve" + } +} diff --git a/web/public/locales/bs/components/icons.json b/web/public/locales/bs/components/icons.json new file mode 100644 index 0000000000..807c1d29f6 --- /dev/null +++ b/web/public/locales/bs/components/icons.json @@ -0,0 +1,8 @@ +{ + "iconPicker": { + "selectIcon": "Odaberite ikonu", + "search": { + "placeholder": "Pretražite ikonu…" + } + } +} diff --git a/web/public/locales/bs/components/input.json b/web/public/locales/bs/components/input.json new file mode 100644 index 0000000000..03e33fb6d5 --- /dev/null +++ b/web/public/locales/bs/components/input.json @@ -0,0 +1,10 @@ +{ + "button": { + "downloadVideo": { + "label": "Preuzimanje videa", + "toast": { + "success": "Vaš video stavke pregleda je započelo preuzimanje." + } + } + } +} diff --git a/web/public/locales/bs/components/player.json b/web/public/locales/bs/components/player.json new file mode 100644 index 0000000000..3056608f08 --- /dev/null +++ b/web/public/locales/bs/components/player.json @@ -0,0 +1,52 @@ +{ + "noRecordingsFoundForThisTime": "Nisu pronađeni snimci za ovo vrijeme", + "noPreviewFound": "Nije pronađen pregled", + "noPreviewFoundFor": "Nije pronađen pregled za {{cameraName}}", + "submitFrigatePlus": { + "title": "Pošalji ovaj okvir Frigate+?", + "submit": "Pošalji", + "previewError": "Nije moguće učitati prikaz snimke. Snimka možda trenutno nije dostupna." + }, + "livePlayerRequiredIOSVersion": "Za ovaj tip uživo prijenosa potreban je iOS 17.1 ili noviji.", + "streamOffline": { + "title": "Prijenos je offline", + "desc": "Nisu primljeni okviri na {{cameraName}} detect prijenos, provjerite zapise o greškama" + }, + "cameraDisabled": "Kamera je onemogućena", + "stats": { + "streamType": { + "title": "Tip prijenosa:", + "short": "Tip" + }, + "bandwidth": { + "title": "Širina pojasa:", + "short": "Širina pojasa" + }, + "latency": { + "title": "Kasnjenje:", + "value": "{{seconds}} sekundi", + "short": { + "title": "Kasnjenje", + "value": "{{seconds}} sek" + } + }, + "totalFrames": "Ukupno okvira:", + "droppedFrames": { + "title": "Izgubljeni okviri:", + "short": { + "title": "Izgubljeni", + "value": "{{droppedFrames}} okvira" + } + }, + "decodedFrames": "Dekodirani okviri:", + "droppedFrameRate": "Stopa izgubljenih okvira:" + }, + "toast": { + "success": { + "submittedFrigatePlus": "Uspješno je poslano okvir Frigate+" + }, + "error": { + "submitFrigatePlusFailed": "Neuspješno slanje okvira Frigate+" + } + } +} diff --git a/web/public/locales/bs/config/cameras.json b/web/public/locales/bs/config/cameras.json new file mode 100644 index 0000000000..97da5a3793 --- /dev/null +++ b/web/public/locales/bs/config/cameras.json @@ -0,0 +1,949 @@ +{ + "label": "KameraKonfig", + "zones": { + "label": "Zone", + "description": "Zona omogućava da definirate specifičnu područje okvira da biste odredili je li objekt unutar određenog područja.", + "friendly_name": { + "label": "Ime zone", + "description": "Korisničko ime za zonu, prikazano u UI Frigate. Ako nije postavljeno, koristi se oblikovana verzija imena zone." + }, + "enabled": { + "label": "Omogućeno", + "description": "Omogući ili onemogući ovu zonu. Onemogućene zone zanemaruju se tijekom izvršavanja." + }, + "enabled_in_config": { + "label": "Zapamti originalno stanje zone." + }, + "filters": { + "label": "Filtri zone", + "description": "Filtri za primjenu na objekte unutar ove zone. Koriste se za smanjenje lažnih pozitiva ili ograničavanje kojih objekata se smatraju prisutnim u zoni.", + "min_area": { + "label": "Minimalna površina objekta", + "description": "Minimalna površina okvira (pikseli ili postotak) potrebna za ovaj tip objekta. Može biti pikseli (cijeli broj) ili postotak (float između 0.000001 i 0.99)." + }, + "max_area": { + "label": "Maksimalna površina objekta", + "description": "Maksimalna površina okvira (pikseli ili postotak) dozvoljena za ovaj tip objekta. Može biti pikseli (cijeli broj) ili postotak (float između 0.000001 i 0.99)." + }, + "min_ratio": { + "label": "Minimalni omjer visine/širine", + "description": "Minimalni omjer širine/visine potreban da bi okvir bio prihvaćen." + }, + "max_ratio": { + "label": "Maksimalni omjer visine/širine", + "description": "Maksimalni omjer širine/visine dozvoljen da bi okvir bio prihvaćen." + }, + "threshold": { + "label": "Prag pouzdanosti", + "description": "Prosjek pragova pouzdanosti detekcije potreban da bi objekt bio smatravan pravim pozitivom." + }, + "min_score": { + "label": "Minimalna pouzdanost", + "description": "Minimalna pouzdanost detekcije po okviru potrebna da bi objekt bio brojan." + }, + "mask": { + "label": "Maska filtriranja", + "description": "Koordinate poligona koje definiraju područje na kojem se ovaj filter primjenjuje unutar okvira." + }, + "raw_mask": { + "label": "Ručna maska" + } + }, + "coordinates": { + "label": "Koordinate", + "description": "Koordinate poligona koje definiraju područje zone. Može biti niz razdvojen zarezom ili lista nizova koordinata. Koordinate trebaju biti relativne (0-1) ili apsolutne (stariji format)." + }, + "distances": { + "label": "Stvarne udaljenosti", + "description": "Nepovlačni stvarne udaljenosti za svaku stranu kvadrilateralne zone, koristi se za izračun brzine ili udaljenosti. Moraju imati tačno 4 vrijednosti ako su postavljene." + }, + "inertia": { + "label": "Okviri inertnosti", + "description": "Broj uzastopnih okvira u kojima mora biti detektovan objekt u zoni da bi bio smatravan prisutnim. Pomaže u filtriranju privremenih detekcija." + }, + "loitering_time": { + "label": "Sekunde loiteranja", + "description": "Broj sekundi koje objekt mora ostati u zoni da bi bio smatravan loiteranjem. Postaviti na 0 za onemogućavanje detekcije loiteranja." + }, + "speed_threshold": { + "label": "Minimalna brzina", + "description": "Minimalna brzina (u stvarnim jedinicama ako su udaljenosti postavljene) potrebna da bi objekt bio smatravan prisutnim u zoni. Koristi se za zone koje se aktiviraju na osnovu brzine." + }, + "objects": { + "label": "Objekti koji izazivaju", + "description": "Lista tipova objekata (iz labelmapa) koji mogu izazvati ovu zonu. Može biti niz ili lista nizova. Ako je prazna, svi objekti se uzimaju u obzir." + } + }, + "name": { + "label": "Ime kamere", + "description": "Ime kamere je obavezno" + }, + "friendly_name": { + "label": "Prijateljsko ime", + "description": "Prijateljsko ime kamere korišteno u korisničkom sučelju Frigate" + }, + "enabled": { + "label": "Omogućeno", + "description": "Omogućeno" + }, + "audio": { + "label": "Audio događaji", + "description": "Postavke za detekciju događaja temeljene na audio.", + "enabled": { + "label": "Omogući detekciju zvuka", + "description": "Omogući ili onemogući detekciju događaja temeljenu na audio za ovu kameru." + }, + "max_not_heard": { + "label": "Vrijeme trajanja do kraja", + "description": "Količina sekundi bez konfiguriranog tipa zvuka prije nego što se audio događaj završi." + }, + "min_volume": { + "label": "Minimalna zapremina", + "description": "Minimalni prag RMS zapremine potreban za pokretanje detekcije zvuka; niže vrijednosti povećavaju osjetljivost (npr. 200 visoko, 500 srednje, 1000 nisko)." + }, + "listen": { + "label": "Tipovi slušanja", + "description": "Popis tipova audio događaja za detekciju (npr. zavijanje, požarne zvona, vrisak, govorenje, vikanje)." + }, + "filters": { + "label": "Audio filteri", + "description": "Postavke filtera po tipu zvuka kao što su pragovi pouzdanosti za smanjenje lažnih pozitiva." + }, + "enabled_in_config": { + "label": "Originalno stanje zvuka", + "description": "Indikuje je li detekcija zvuka izvorno omogućena u statičkoj konfiguracijskoj datoteci." + }, + "num_threads": { + "label": "Dretve detekcije", + "description": "Broj dretvi za korištenje za obradu detekcije zvuka." + } + }, + "audio_transcription": { + "label": "Transkripcija zvuka", + "description": "Postavke za transkripciju živog i govornog zvuka korištenih za događaje i žive podnaslove.", + "enabled": { + "label": "Omogući transkripciju", + "description": "Omogući ili onemogući transkripciju audio događaja pokrenutu ručno." + }, + "enabled_in_config": { + "label": "Originalni stanje transkripcije" + }, + "live_enabled": { + "label": "Uživo transkripcija", + "description": "Omogući streaming uživo transkripcije za audio dok se prima." + } + }, + "birdseye": { + "label": "Birdseye", + "description": "Postavke za sastavni prikaz Birdseye koji kombinuje više snimke kamere u jedinstveni raspored.", + "enabled": { + "label": "Omogući Birdseye", + "description": "Omogući ili onemogući funkciju prikaza Birdseye." + }, + "mode": { + "label": "Način praćenja", + "description": "Način uključivanja kamera u Birdseye: 'objekti', 'kretanje' ili 'kontinuirano'." + }, + "order": { + "label": "Pozicija", + "description": "Numerička pozicija koja kontroliše redoslijed kamera u rasporedu Birdseye." + } + }, + "detect": { + "label": "Detekcija objekata", + "description": "Postavke za ulogu detekcije/detekcija koja se koristi za pokretanje detekcije objekata i inicijalizaciju praćenja.", + "enabled": { + "label": "Omogući detekciju objekata", + "description": "Omogući ili onemogući detekciju objekata za ovu kameru." + }, + "height": { + "label": "Visina detekcije", + "description": "Visina (pikseli) okvira korištenih za detekciju stream-a; ostavite prazno za korištenje originalne rezolucije stream-a." + }, + "width": { + "label": "Širina detekcije", + "description": "Širina (pikseli) okvira korištenih za detekciju stream-a; ostavite prazno za korištenje originalne rezolucije stream-a." + }, + "fps": { + "label": "Detekcija FPS", + "description": "Željeni broj okvira po sekundi za pokretanje detekcije; niže vrijednosti smanjuju upotrebu CPU-a (preporučena vrijednost je 5, postavite više - najviše 10 - samo ako praćite vrlo brze objekte)." + }, + "min_initialized": { + "label": "Minimalni broj okvira inicijalizacije", + "description": "Broj uzastopnih detekcija potreban prije stvaranja praćenog objekta. Povećajte da biste smanjili lažne inicijalizacije. Zadana vrijednost je fps podijeljeno sa 2." + }, + "max_disappeared": { + "label": "Maksimalni broj okvira koji su nestali", + "description": "Broj okvira bez detekcije prije nego što se praćeni objekt smatra izgubljenim." + }, + "stationary": { + "label": "Konfiguracija stacionarnih objekata", + "description": "Postavke za detekciju i upravljanje objektima koji ostaju stacionarni tokom određenog vremena.", + "interval": { + "label": "Stacionarni interval", + "description": "Kako često (u snimcima) pokretati provjeru detekcije da biste potvrdili stacionarni objekt." + }, + "threshold": { + "label": "Stacionarni prag", + "description": "Broj snimaka bez promjene pozicije potreban da bi objekt bio označen kao stacionarni." + }, + "max_frames": { + "label": "Maksimalni snimci", + "description": "Ograničava koliko dugo se stacionarni objekti praćaju prije nego što se odbacuju.", + "default": { + "label": "Zadani maksimalni snimci", + "description": "Zadani maksimalni broj snimaka za praćenje stacionarnog objekta prije prestanka." + }, + "objects": { + "label": "Maksimalni snimci po objektu", + "description": "Podešavanja po objektu za maksimalni broj snimaka za praćenje stacionarnih objekata." + } + }, + "classifier": { + "label": "Omogući vizualni klasifikator", + "description": "Koristi vizualni klasifikator za detekciju pravozadanih stacionarnih objekata čak i kada se okviri tresu." + } + }, + "annotation_offset": { + "label": "Pomak oznake", + "description": "Milisekunde za pomak detektiranih oznaka kako bi se bolje poravnali vremenski okviri s snimcima; može biti pozitivan ili negativan." + } + }, + "face_recognition": { + "label": "Prepoznavanje lica", + "description": "Postavke za detekciju i prepoznavanje lica za ovu kameru.", + "enabled": { + "label": "Omogući prepoznavanje lica", + "description": "Omogući ili onemogući prepoznavanje lica." + }, + "min_area": { + "label": "Minimalna površina lica", + "description": "Minimalna površina (pikseli) detektiranog okvira lica potrebna za pokušaj prepoznavanja." + } + }, + "ffmpeg": { + "label": "FFmpeg", + "description": "Postavke FFmpeg uključuju putanju binarne datoteke, argumente, opcije hwaccel i izlazne argumente po ulozi.", + "path": { + "label": "Putanja do FFmpeg binarne datoteke", + "description": "Putanja do FFmpeg binarne datoteke ili verzija alias (\"5.0\" ili \"7.0\")." + }, + "global_args": { + "label": "Globalni argumenti FFmpeg-a", + "description": "Globalni argumenti prebačeni na procese FFmpeg." + }, + "hwaccel_args": { + "label": "Argumenti za ubrzanje hardvera", + "description": "Argumenti za ubrzanje hardvera za FFmpeg. Preporučuju se predložci specifični za dobavljača." + }, + "input_args": { + "label": "Unos argumenata", + "description": "Ulazni argumenti primjenjeni na ulazne snimke FFmpeg." + }, + "output_args": { + "label": "Izlazni argumenti", + "description": "Zadani izlazni argumenti korišteni za različite uloge FFmpeg-a poput detekcije i snimanja.", + "detect": { + "label": "Izlazni argumenti za detekciju", + "description": "Zadani izlazni argumenti za snimke uloga detekcije." + }, + "record": { + "label": "Izlazni argumenti za snimanje", + "description": "Zadani izlazni argumenti za snimke uloga snimanja." + } + }, + "retry_interval": { + "label": "Vrijeme ponovnog pokušaja FFmpeg-a", + "description": "Sekunde koje treba čekati prije nego što se pokuša ponovno uspostaviti veza s tokom kamere nakon neuspjeha. Zadano je 10." + }, + "apple_compatibility": { + "label": "Kompatibilnost s Apple-om", + "description": "Omogući označavanje HEVC za bolju kompatibilnost s igračima Apple-a prilikom snimanja H.265." + }, + "gpu": { + "label": "Indeks GPU-a", + "description": "Zadani indeks GPU-a korišten za ubrzanje hardvera ako je dostupan." + }, + "inputs": { + "label": "Ulazni podaci kamere", + "description": "Popis definicija ulaznih tokova (putanje i uloge) za ovu kameru.", + "path": { + "label": "Putanja ulaza", + "description": "URL ili putanja ulaznog toka kamere." + }, + "roles": { + "label": "Uloge ulaza", + "description": "Uloge za ovaj ulazni tok." + }, + "global_args": { + "label": "Globalni argumenti FFmpeg-a", + "description": "Globalni argumenti FFmpeg-a za ovaj ulazni tok." + }, + "hwaccel_args": { + "label": "Argumenti za ubrzanje hardvera", + "description": "Argumenti za ubrzanje hardvera za ovaj ulazni stream." + }, + "input_args": { + "label": "Unos argumenata", + "description": "Argumeti unosa specifični za ovaj stream." + } + } + }, + "live": { + "label": "Uživo prikaz", + "description": "Postavke korištenje Web UI za kontrolu izbora živog streama, rezolucije i kvalitete.", + "streams": { + "label": "Imena živih streamova", + "description": "Mapiranje konfiguriranih imena streamova na imena restream/go2rtc korишtena za uživo prikaz." + }, + "height": { + "label": "Visina uživo", + "description": "Visina (piksela) za prikaz jsmpeg živog streama u Web UI; mora biti <= visina detektiranog streama." + }, + "quality": { + "label": "Kvalitet uživo", + "description": "Kvalitet kodiranja za jsmpeg stream (1 najviši, 31 najniži)." + } + }, + "lpr": { + "label": "Prepoznavanje tablice vozila", + "description": "Postavke prepoznavanja tablice vozila uključujući pragovi detekcije, formatiranje i poznate tablice.", + "enabled": { + "label": "Omogući LPR", + "description": "Omogući ili onemogući LPR na ovoj kameri." + }, + "expire_time": { + "label": "Sekunde isteka", + "description": "Vrijeme u sekundama nakon kojeg nevidljiva tablica istječe iz praćenja (samo za dedikovane LPR kamere)." + }, + "min_area": { + "label": "Minimalna površina tablice", + "description": "Minimalna površina tablice (piksela) potrebna za pokušaj prepoznavanja." + }, + "enhancement": { + "label": "Nivo poboljšanja", + "description": "Nivo poboljšanja (0-10) za primjenu na isječke tablice prije OCR-a; veće vrijednosti ne moraju uvijek poboljšati rezultate, nivoi iznad 5 mogu raditi samo s tablicama u noćnom vremenu i trebaju se koristiti s oprezom." + } + }, + "motion": { + "label": "Detekcija pokreta", + "description": "Zadane postavke detekcije pokreta za ovu kameru.", + "enabled": { + "label": "Omogući detekciju pokreta", + "description": "Omogući ili onemogući detekciju pokreta za ovu kameru." + }, + "threshold": { + "label": "Prag pokreta", + "description": "Prag razlike piksela korišten za detektor pokreta; veće vrijednosti smanjuju osjetljivost (opseg 1-255)." + }, + "lightning_threshold": { + "label": "Prag munje", + "description": "Prag za detekciju i zanemarivanje kratkih iskri svjetlosti (niže vrijednosti povećavaju osjetljivost, vrijednosti između 0.3 i 1.0). Ovo ne spriječava detekciju pokreta u potpunosti; jednostavno zaustavlja detektor da analizira dodatne okvire nakon što se prag premaši. Snimci temeljeni na pokretima i dalje se stvaraju tijekom ovih događaja." + }, + "skip_motion_threshold": { + "label": "Preskoči prag pokreta", + "description": "Ako se postavi na vrijednost između 0.0 i 1.0, i ako se više od ovog udjela slike promijeni u jednom okviru, detektor neće vratiti kutije pokreta i odmah će se ponovno kalibrirati. Ovo može uštedjeti CPU i smanjiti lažne pozitive tijekom munje, oluje itd., ali može propustiti stvarne događaje kao što je automatsko praćenje objekta PTZ kamerom. Tržište je između izgube nekoliko megabajta snimaka i pregleda nekoliko kratkih zapisnika. Ostavite nepostavljeno (Nijedno) za onemogućavanje ove funkcije." + }, + "improve_contrast": { + "label": "Poboljšaj kontrast", + "description": "Primijeni poboljšanje kontrasta na okvire prije analize pokreta kako bi pomoću detekcije." + }, + "contour_area": { + "label": "Površina kontura", + "description": "Minimalna površina kontura u pikselima potrebna za brojanje kontura pokreta." + }, + "delta_alpha": { + "label": "Delta alfa", + "description": "Faktor alfa spajanja korišten za razliku okvira za izračun pokreta." + }, + "frame_alpha": { + "label": "Alfa okvira", + "description": "Vrijednost alfa korištena prilikom spajanja okvira za predobradbu pokreta." + }, + "frame_height": { + "label": "Visina okvira", + "description": "Visina u pikselima na koju se skaliraju okviri prilikom izračuna pokreta." + }, + "mask": { + "label": "Koordinate maska", + "description": "Uredno x,y koordinate koje definiraju poligon maska pokreta za uključivanje/isključivanje područja." + }, + "mqtt_off_delay": { + "label": "MQTT zakasnjenje isključivanja", + "description": "Sekunde koje se čekaju nakon posljednjeg pokreta prije objave MQTT 'isključeno' stanje." + }, + "enabled_in_config": { + "label": "Originalno stanje pokreta", + "description": "Indikira je li detekcija pokreta bila omogućena u originalnoj statičkoj konfiguraciji." + }, + "raw_mask": { + "label": "Ručna maska" + } + }, + "objects": { + "label": "Objekti", + "description": "Zadani parametri praćenja objekata uključujući koje oznake praćenja i filtre po objektu.", + "track": { + "label": "Objekti za praćenje", + "description": "Popis oznaka objekata za praćenje za ovu kameru." + }, + "filters": { + "label": "Filtar objekata", + "description": "Filtar primijenjen na detektirane objekte kako bi se smanjila broj lažnih pozitiva (površina, omjer, pouzdanost).", + "min_area": { + "label": "Minimalna površina objekta", + "description": "Minimalna površina okvira (pikseli ili postotak) potrebna za ovaj tip objekta. Može biti pikseli (cijeli broj) ili postotak (float između 0.000001 i 0.99)." + }, + "max_area": { + "label": "Maksimalna površina objekta", + "description": "Maksimalna površina okvira (pikseli ili postotak) dozvoljena za ovaj tip objekta. Može biti pikseli (cijeli broj) ili postotak (float između 0.000001 i 0.99)." + }, + "min_ratio": { + "label": "Minimalni omjer visine/širine", + "description": "Minimalni omjer širine/visine potreban da bi okvir bio prihvaćen." + }, + "max_ratio": { + "label": "Maksimalni omjer visine/širine", + "description": "Maksimalni omjer širine/visine dozvoljen da bi okvir bio prihvaćen." + }, + "threshold": { + "label": "Prag pouzdanosti", + "description": "Prosjek pragova pouzdanosti detekcije potreban da bi objekt bio smatravan pravim pozitivom." + }, + "min_score": { + "label": "Minimalna pouzdanost", + "description": "Minimalna pouzdanost detekcije po okviru potrebna da bi objekt bio brojan." + }, + "mask": { + "label": "Maska filtriranja", + "description": "Koordinate poligona koje definiraju područje na kojem se ovaj filter primjenjuje unutar okvira." + }, + "raw_mask": { + "label": "Ručna maska" + } + }, + "mask": { + "label": "Maska objekta", + "description": "Poligonalna maska korištena za spriječavanje detekcije objekta u određenim područjima." + }, + "raw_mask": { + "label": "Ručna maska" + }, + "genai": { + "label": "Konfiguracija GenAI objekta", + "description": "Opcije GenAI za opisivanje praćenih objekata i slanje okvira za generisanje.", + "enabled": { + "label": "Omogući GenAI", + "description": "Omogući generisanje opisa za praćene objekte po zadanim postavkama." + }, + "use_snapshot": { + "label": "Koristi snimke", + "description": "Koristi snimke objekata umjesto miniaturnih slika za generisanje opisa GenAI." + }, + "prompt": { + "label": "Naslovni prompt", + "description": "Zadani šablon upita korišten za generisanje opisa pomoću GenAI." + }, + "object_prompts": { + "label": "Prompti za objekte", + "description": "Prompti po objektu za prilagođavanje izlaza GenAI za specifične oznake." + }, + "objects": { + "label": "GenAI objekti", + "description": "Popis oznaka objekata koje se po defaultu šalju GenAI." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje moraju biti unesene za objekte da bi se kvalifikovali za generisanje opisa GenAI." + }, + "debug_save_thumbnails": { + "label": "Sačuvajte miniaturne slike", + "description": "Sačuvaj miniaturne slike koje se šalju GenAI za ispravljanje i pregled." + }, + "send_triggers": { + "label": "GenAI izazivači", + "description": "Definiše kada bi se trebale slati okvir za GenAI (na kraju, nakon ažuriranja, itd.).", + "tracked_object_end": { + "label": "Pošalji na kraju", + "description": "Pošalji zahtjev GenAI kada praćeni objekt završi." + }, + "after_significant_updates": { + "label": "Raniji GenAI izazivač", + "description": "Pošalji zahtjev GenAI nakon određenog broja značajnih ažuriranja za praćeni objekt." + } + }, + "enabled_in_config": { + "label": "Originalno stanje GenAI", + "description": "Pokazuje je li GenAI bio omogućen u originalnoj statičkoj konfiguraciji." + } + } + }, + "record": { + "label": "Snimanje", + "description": "Postavke snimanja i zadržavanja za ovu kameru.", + "enabled": { + "label": "Omogući snimanje", + "description": "Omogući ili onemogući snimanje za ovu kameru." + }, + "expire_interval": { + "label": "Interval čišćenja snimanja", + "description": "Minute između čišćenja koja uklanjaju istekle segmente snimaka." + }, + "continuous": { + "label": "Neprekidna retencija", + "description": "Broj dana za čuvanje snimaka bez obzira na praćene objekte ili pokret. Postavite na 0 ako želite da čuvate samo snimke upozorenja i detekcije.", + "days": { + "label": "Dane zadržavanja", + "description": "Dana za čuvanje snimaka." + } + }, + "motion": { + "label": "Retencija pokreta", + "description": "Broj dana za čuvanje snimaka izazvanih pokretom bez obzira na praćene objekte. Postavite na 0 ako želite da čuvate samo snimke upozorenja i detekcije.", + "days": { + "label": "Dane zadržavanja", + "description": "Dana za čuvanje snimaka." + } + }, + "detections": { + "label": "Retencija detekcije", + "description": "Postavke retencije snimaka za događaje detekcije uključujući trajanje pre/post snimanja.", + "pre_capture": { + "label": "Sekundi pre snimanja", + "description": "Broj sekundi prije događaja detekcije koje treba uključiti u snimak." + }, + "post_capture": { + "label": "Sekunde nakon snimanja", + "description": "Broj sekundi nakon događaja detekcije koje se uključuju u snimanje." + }, + "retain": { + "label": "Zadržavanje događaja", + "description": "Postavke zadržavanja za snimke događaja detekcije.", + "days": { + "label": "Dane zadržavanja", + "description": "Broj dana za koje se zadržavaju snimke događaja detekcije." + }, + "mode": { + "label": "Način zadržavanja", + "description": "Način zadržavanja: sve (sačuvati sve segmente), pokret (sačuvati segmente s pokretom), ili aktivni_objekti (sačuvati segmente s aktivnim objektima)." + } + } + }, + "alerts": { + "label": "Retencija upozorenja", + "description": "Postavke retencije snimaka za događaje upozorenja uključujući trajanje pre/post snimanja.", + "pre_capture": { + "label": "Sekundi pre snimanja", + "description": "Broj sekundi prije događaja detekcije koje treba uključiti u snimak." + }, + "post_capture": { + "label": "Sekunde nakon snimanja", + "description": "Broj sekundi nakon događaja detekcije koje se uključuju u snimanje." + }, + "retain": { + "label": "Zadržavanje događaja", + "description": "Postavke zadržavanja za snimke događaja detekcije.", + "days": { + "label": "Dane zadržavanja", + "description": "Broj dana za koje se zadržavaju snimke događaja detekcije." + }, + "mode": { + "label": "Način zadržavanja", + "description": "Način zadržavanja: sve (sačuvati sve segmente), pokret (sačuvati segmente s pokretom), ili aktivni_objekti (sačuvati segmente s aktivnim objektima)." + } + } + }, + "export": { + "label": "Konfiguracija izvoza", + "description": "Postavke koje se koriste prilikom izvoza snimaka kao što su timelapse i ubrzavanje dretve.", + "hwaccel_args": { + "label": "Argumeti ubrzavanja dretve za izvoz", + "description": "Argumeti ubrzavanja dretve za operacije izvoza/prenosa." + }, + "max_concurrent": { + "label": "Maksimalan broj istovremenih izvoza", + "description": "Maksimalan broj poslova izvoza koji se obrađuju istovremeno." + } + }, + "preview": { + "label": "Konfiguracija pregleda", + "description": "Postavke koje kontrolišu kvalitet pregleda snimanja prikazanih u UI.", + "quality": { + "label": "Kvaliteta pregleda", + "description": "Nivo kvalitete pregleda (vrlo_nizak, nizak, srednji, visok, vrlo_visok)." + } + }, + "enabled_in_config": { + "label": "Originalno stanje snimanja", + "description": "Pokazuje je li snimanje bilo omogućeno u originalnoj statičkoj konfiguraciji." + } + }, + "review": { + "label": "Pregled", + "description": "Postavke koje kontrolišu upozorenja, detekcije i sažetke pregleda GenAI korišteni od strane UI i skladišta za ovu kameru.", + "alerts": { + "label": "Konfiguracija upozorenja", + "description": "Postavke za koje objekti praćeni generišu upozorenja i kako se upozorenja zadržavaju.", + "enabled": { + "label": "Omogući upozorenja", + "description": "Omogući ili onemogući generisanje upozorenja za ovu kameru." + }, + "labels": { + "label": "Oznake upozorenja", + "description": "Lista oznaka objekata koje se smatraju upozorenjima (npr. automobil, osoba)." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje objekt mora ući da bi se smatrao upozorenjem; ostavite prazno da omogućite bilo koju zonu." + }, + "enabled_in_config": { + "label": "Originalno stanje upozorenja", + "description": "Pratiti je li upozorenja izvorno omogućena u statičkoj konfiguraciji." + }, + "cutoff_time": { + "label": "Vrijeme prekida upozorenja", + "description": "Sekunde koje treba čekati nakon što nema aktivnosti koja uzrokuje upozorenje prije nego se prekine upozorenje." + } + }, + "detections": { + "label": "Konfiguracija detekcija", + "description": "Postavke koje objekti koje se praćenje generišu detekcije (nepozornja) i kako se detekcije čuvaju.", + "enabled": { + "label": "Omogući detekcije", + "description": "Omogući ili onemogući događaje detekcije za ovu kameru." + }, + "labels": { + "label": "Oznake detekcije", + "description": "Popis oznaka objekata koje kvalifikuju kao događaji detekcije." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje objekt mora ući da bi se smatrao detekcijom; ostavite prazno da omogućite bilo koju zonu." + }, + "cutoff_time": { + "label": "Vrijeme prekida detekcija", + "description": "Sekunde koje treba čekati nakon što nema aktivnosti koja uzrokuje detekciju prije nego se prekine detekcija." + }, + "enabled_in_config": { + "label": "Originalno stanje detekcija", + "description": "Pratiti je li detekcije izvorno omogućene u statičkoj konfiguraciji." + } + }, + "genai": { + "label": "Konfiguracija GenAI", + "description": "Kontrolira korištenje generativne AI za proizvodnju opisa i sažetaka stavki za pregled.", + "enabled": { + "label": "Omogući opise GenAI", + "description": "Omogući ili onemogući opise i sažetke generirane GenAI za stavke za pregled." + }, + "alerts": { + "label": "Omogući GenAI za upozorenja", + "description": "Koristi GenAI za generiranje opisa stavki upozorenja." + }, + "detections": { + "label": "Omogući GenAI za detekcije", + "description": "Koristite GenAI za generiranje opisa predmeta detekcije." + }, + "image_source": { + "label": "Pregledajte izvor slike", + "description": "Izvor slika poslatih GenAIJ-u ('preview' ili 'recordings'); 'recordings' koristi kvalitetnije okvire, ali više tokena." + }, + "additional_concerns": { + "label": "Dodatne brige", + "description": "Popis dodatnih briga ili napomena koje GenAI treba uzeti u obzir prilikom procjene aktivnosti na ovoj kameri." + }, + "debug_save_thumbnails": { + "label": "Sačuvajte miniaturne slike", + "description": "Sačuvajte miniaturne slike koje se šalju GenAI provajderu za ispravljanje grešaka i pregled." + }, + "enabled_in_config": { + "label": "Originalno stanje GenAI", + "description": "Pratiti je li pregled GenAI izvorno omogućen u statičkoj konfiguraciji." + }, + "preferred_language": { + "label": "Preferirani jezik", + "description": "Preferirani jezik za zahtijevanje od GenAI provajdera za generirane odgovore." + }, + "activity_context_prompt": { + "label": "Prompt konteksta aktivnosti", + "description": "Prilagođeni prompt koji opisuje što je i što nije sumnjivo ponašanje kako bi pružio kontekst za sažetke GenAI." + } + } + }, + "semantic_search": { + "label": "Semantička pretraga", + "description": "Postavke za semantičku pretragu koja konstruira i upita uključivanje objekata kako bi pronašla slične stavke.", + "triggers": { + "label": "Pokretači", + "description": "Akcije i kriteriji za usklađivanje za pokretače semantičke pretrage specifične za kameru.", + "friendly_name": { + "label": "Prijateljsko ime", + "description": "Nepovlačno prijateljsko ime prikazano u korisničkom sučelju za ovaj pokretač." + }, + "enabled": { + "label": "Omogući ovaj pokretač", + "description": "Omogući ili onemogući ovaj pokretač semantičke pretrage." + }, + "type": { + "label": "Tip pokretača", + "description": "Tip pokretača: 'thumbnail' (uspoređivanje slikom) ili 'description' (uspoređivanje teksta)." + }, + "data": { + "label": "Sadržaj pokretača", + "description": "Tekstualni izraz ili ID miniaturne slike za uspoređivanje s praćenim objektima." + }, + "threshold": { + "label": "Prag aktivacije", + "description": "Minimalna ocjena sličnosti (0-1) potrebna za aktivaciju ovog izazivača." + }, + "actions": { + "label": "Akcije izazivača", + "description": "Popis akcija koje se izvršavaju kada izazivač odgovara (obavijest, pod_naziv, atribute)." + } + } + }, + "snapshots": { + "label": "Snimci", + "description": "Postavke za snimke generirane preko API-ja za praćene objekte za ovu kameru.", + "enabled": { + "label": "Omogući snimke", + "description": "Omogući ili onemogući snimanje snimaka za ovu kameru." + }, + "timestamp": { + "label": "Preklapanje vremenske oznake", + "description": "Preklopiti vremensku oznaku na snimke iz API-ja." + }, + "bounding_box": { + "label": "Preklapanje okvira", + "description": "Crtanje okvira za praćene objekte na snimke iz API-ja." + }, + "crop": { + "label": "Izrezivanje snimke", + "description": "Izrezivanje snimki iz API-ja do okvira detektiranog objekta." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje objekt mora ući da bi snimka bila sačuvana." + }, + "height": { + "label": "Visina snimke", + "description": "Visina (pikseli) za promjenu veličine snimki iz API-ja; ostavite prazno da biste sačuvali originalnu veličinu." + }, + "retain": { + "label": "Zadržavanje snimki", + "description": "Postavke zadržavanja snimki uključujući zadane dane i prekriženja po objektu.", + "default": { + "label": "Zadano zadržavanje", + "description": "Zadani broj dana za zadržavanje snimki." + }, + "mode": { + "label": "Način zadržavanja", + "description": "Način zadržavanja: sve (sačuvati sve segmente), pokret (sačuvati segmente s pokretom), ili aktivni_objekti (sačuvati segmente s aktivnim objektima)." + }, + "objects": { + "label": "Zadržavanje objekata", + "description": "Prekriženja po objektu za dane zadržavanja snimki." + } + }, + "quality": { + "label": "Kvaliteta snimka", + "description": "Kvaliteta kodiranja za sačuvane snimke (0-100)." + } + }, + "timestamp_style": { + "label": "Stil vremenske oznake", + "description": "Opcije stilizacije za vremenske oznake u snimcima i snimcima.", + "position": { + "label": "Pozicija vremenske oznake", + "description": "Pozicija vremenske oznake na slici (tl/tr/bl/br)." + }, + "format": { + "label": "Format vremenske oznake", + "description": "String formata datuma i vremena korišten za vremenske oznake (Python format koda za datum i vrijeme)." + }, + "color": { + "label": "Boja vremenske oznake", + "description": "RGB vrijednosti boja za tekst vremenske oznake (sve vrijednosti 0-255).", + "red": { + "label": "Crvena", + "description": "Crveni komponent (0-255) za boju vremenske oznake." + }, + "green": { + "label": "Zelena", + "description": "Zeleni komponent (0-255) za boju vremenske oznake." + }, + "blue": { + "label": "Plava", + "description": "Plavi komponent (0-255) za boju vremenske oznake." + } + }, + "thickness": { + "label": "Debljina vremenske oznake", + "description": "Debljina linije teksta vremenske oznake." + }, + "effect": { + "label": "Efekt vremenske oznake", + "description": "Vizualni efekt za tekst vremenske oznake (none, solid, shadow)." + } + }, + "best_image_timeout": { + "label": "Vrijeme čekanja za najbolju sliku", + "description": "Koliko dugo čekati na sliku s najvišim stupnjem pouzdanosti." + }, + "mqtt": { + "label": "MQTT", + "description": "Postavke objave slika preko MQTT.", + "enabled": { + "label": "Pošalji sliku", + "description": "Omogući objavljivanje snimaka slika za objekte na MQTT teme za ovu kameru." + }, + "timestamp": { + "label": "Dodaj vremensku oznaku", + "description": "Preklopiti vremensku oznaku na slike objavljene preko MQTT." + }, + "bounding_box": { + "label": "Dodaj okvir", + "description": "Crtaj okvire na slikama objavljenim preko MQTT." + }, + "crop": { + "label": "Iscijepi sliku", + "description": "Iscijepi slike objavljene preko MQTT na okvir detektiranog objekta." + }, + "height": { + "label": "Visina slike", + "description": "Visina (piksela) za promjenu veličine slika objavljenih preko MQTT." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje objekt mora ući da bi se slika preko MQTT objavila." + }, + "quality": { + "label": "Kvaliteta JPEG", + "description": "Kvaliteta JPEG za slike objavljene preko MQTT (0-100)." + } + }, + "notifications": { + "label": "Obavještenja", + "description": "Postavke za omogućavanje i kontrolu obavijesti za ovu kameru.", + "enabled": { + "label": "Omogući obavijesti", + "description": "Omogući ili onemogući obavijesti za ovu kameru." + }, + "email": { + "label": "E-mail za obavijesti", + "description": "Adresa e-maila koja se koristi za obavijesti putem push-a ili je potrebna određenim dobavljačima obavijesti." + }, + "cooldown": { + "label": "Period hlađenja", + "description": "Period hlađenja (sekunde) između obavijesti kako bi se izbjeglo spaming primateljima." + }, + "enabled_in_config": { + "label": "Originalno stanje obavijesti", + "description": "Pokazuje je li obavijesti bile omogućene u originalnoj statičkoj konfiguraciji." + } + }, + "onvif": { + "label": "ONVIF", + "description": "Postavke povezivanja preko ONVIF i automatskog praćenja PTZ za ovu kameru.", + "host": { + "label": "Gost ONVIF", + "description": "Gost (i opcionalni shema) za uslugu ONVIF za ovu kameru." + }, + "port": { + "label": "Port ONVIF", + "description": "Broj porta za uslugu ONVIF." + }, + "user": { + "label": "Korisničko ime za ONVIF", + "description": "Korisničko ime za autentifikaciju ONVIF; neki uređaji zahtijevaju korisnika admin za ONVIF." + }, + "password": { + "label": "Lozinka za ONVIF", + "description": "Lozinka za autentifikaciju ONVIF." + }, + "tls_insecure": { + "label": "Onemogući provjeru TLS", + "description": "Preskoči provjeru TLS i onemogući digest autentifikaciju za ONVIF (nebezbedno; koristiti samo u sigurnim mrežama)." + }, + "profile": { + "label": "ONVIF profil", + "description": "Specifičan ONVIF medij profil za korištenje za kontrolu PTZ, prilagođen tokenom ili imenom. Ako nije postavljen, prvi profil s važećom konfiguracijom PTZ automatski se odabire." + }, + "autotracking": { + "label": "Autotračenje", + "description": "Automatski praćenje pokretanja objekata i držanje ih u sredini okvira korištenjem pokreta kamere PTZ.", + "enabled": { + "label": "Omogući automatsko praćenje", + "description": "Omogući ili onemogući automatsko praćenje kamere PTZ detektiranih objekata." + }, + "calibrate_on_startup": { + "label": "Kalibriraj na početku", + "description": "Mjeri brzine motora PTZ pri pokretanju kako bi poboljšao preciznost praćenja. Frigate će ažurirati konfiguraciju s težinama pokreta nakon kalibracije." + }, + "zooming": { + "label": "Režim zumiranja", + "description": "Kontrola ponašanja zumiranja: onemogućeno (samo pan/tilt), apsolutno (najkompatibilnije) ili relativno (konkurentno pan/tilt/zum)." + }, + "zoom_factor": { + "label": "Faktor zumiranja", + "description": "Kontrola razine zumiranja na praćenim objektima. Niže vrijednosti drže više scene u pogledu; više vrijednosti zumiraju bliže, ali mogu izgubiti praćenje. Vrijednosti između 0.1 i 0.75." + }, + "track": { + "label": "Praćeni objekti", + "description": "Popis vrsta objekata koji trebaju pokrenuti automatsko praćenje." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Objekti moraju ući u jednu od ovih zona prije nego što započne automatsko praćenje." + }, + "return_preset": { + "label": "Povratak na predpostavku", + "description": "Ime predpostavke konfigurirano u firmware kamere za povratak nakon završetka praćenja." + }, + "timeout": { + "label": "Vrijeme čekanja povratka", + "description": "Čekajte ovaj broj sekundi nakon gubitka praćenja prije povratka kamere na predpostavljeno mjesto." + }, + "movement_weights": { + "label": "Težine pokreta", + "description": "Vrijednosti kalibracije automatski generirane kroz kalibraciju kamere. Ne mijenjajte ručno." + }, + "enabled_in_config": { + "label": "Originalni stanje autotračenja", + "description": "Unutarnje polje za praćenje je li autotračenje bilo omogućeno u konfiguraciji." + } + }, + "ignore_time_mismatch": { + "label": "Zanemari razliku u vremenu", + "description": "Zanemari razlike u sinhronizaciji vremena između kamere i Frigate servera za komunikaciju ONVIF." + } + }, + "type": { + "label": "Tip kamere", + "description": "Tip kamere" + }, + "ui": { + "label": "Korisnički interfejs kamere", + "description": "Prikaz redoslijeda i vidljivosti za ovu kameru u UI. Redoslijed utječe na zadani nadzorno pločo. Za detaljniju kontrolu koristite grupe kamere.", + "order": { + "label": "Redoslijed UI", + "description": "Numerički redoslijed koristi se za sortiranje kamere u UI (zadani nadzorno pločo i popisi); veći brojevi pojavljuju se kasnije." + }, + "dashboard": { + "label": "Prikaži u UI", + "description": "Prekidač je li ova kamera vidljiva svuda u UI Frigate. Onemogućavanje ovoga zahtijeva ručno uređivanje konfiguracije za ponovno prikazivanje ove kamere u UI." + } + }, + "webui_url": { + "label": "URL kamere", + "description": "URL za pristup kamere izravno iz stranice sustava" + }, + "profiles": { + "label": "Profili", + "description": "Imenovane konfiguracijske profile s parcijalnim preklopima koji se mogu aktivirati tijekom izvršavanja." + }, + "enabled_in_config": { + "label": "Originalno stanje kamere", + "description": "Pratite originalno stanje kamere." + } +} diff --git a/web/public/locales/bs/config/global.json b/web/public/locales/bs/config/global.json new file mode 100644 index 0000000000..84e370a6cc --- /dev/null +++ b/web/public/locales/bs/config/global.json @@ -0,0 +1,1596 @@ +{ + "version": { + "label": "Trenutna verzija konfiguracije", + "description": "Numerička ili string verzija aktivne konfiguracije za pomoć pri otkrivanju migracija ili promjena formata." + }, + "audio": { + "label": "Audio događaji", + "enabled": { + "label": "Omogući detekciju zvuka", + "description": "Omogući ili onemogući detekciju zvučnih događaja za sve kamere; mogu se prekrivati po kameri." + }, + "max_not_heard": { + "label": "Vrijeme trajanja do kraja", + "description": "Količina sekundi bez konfiguriranog tipa zvuka prije nego što se audio događaj završi." + }, + "min_volume": { + "label": "Minimalna zapremina", + "description": "Minimalni prag RMS zapremine potreban za pokretanje detekcije zvuka; niže vrijednosti povećavaju osjetljivost (npr. 200 visoko, 500 srednje, 1000 nisko)." + }, + "listen": { + "label": "Tipovi slušanja", + "description": "Popis tipova audio događaja za detekciju (npr. zavijanje, požarne zvona, vrisak, govorenje, vikanje)." + }, + "filters": { + "label": "Audio filteri", + "description": "Postavke filtera po tipu zvuka kao što su pragovi pouzdanosti za smanjenje lažnih pozitiva." + }, + "enabled_in_config": { + "label": "Originalno stanje zvuka", + "description": "Indikuje je li detekcija zvuka izvorno omogućena u statičkoj konfiguracijskoj datoteci." + }, + "num_threads": { + "label": "Dretve detekcije", + "description": "Broj dretvi za korištenje za obradu detekcije zvuka." + }, + "description": "Postavke za detekciju događaja na osnovu zvuka za sve kamere; mogu se prekrivati po kameri." + }, + "audio_transcription": { + "label": "Transkripcija zvuka", + "description": "Postavke za transkripciju živog i govornog zvuka korištenih za događaje i žive podnaslove.", + "live_enabled": { + "label": "Uživo transkripcija", + "description": "Omogući streaming uživo transkripcije za audio dok se prima." + }, + "enabled": { + "label": "Omogući transkripciju zvuka", + "description": "Omogući ili onemogući automatsku transkripciju zvuka za sve kamere; može se prekrimiti po kamere." + }, + "language": { + "label": "Jezik za transkripciju", + "description": "Kod jezika korišten za transkripciju/prevod (npr. 'en' za engleski). Pogledajte https://whisper-api.com/docs/languages/ za podržane kodove jezika." + }, + "device": { + "label": "Uređaj za transkripciju", + "description": "Ključ uređaja (CPU/GPU) za izvršavanje modela transkripcije. Trenutno se podržavaju samo NVIDIA CUDA GPU-ovi za transkripciju." + }, + "model_size": { + "label": "Veličina modela", + "description": "Veličina modela za korištenje za offline transkripciju zvučnih događaja." + } + }, + "birdseye": { + "label": "Birdseye", + "description": "Postavke za sastavni prikaz Birdseye koji kombinuje više snimke kamere u jedinstveni raspored.", + "enabled": { + "label": "Omogući Birdseye", + "description": "Omogući ili onemogući funkciju prikaza Birdseye." + }, + "mode": { + "label": "Način praćenja", + "description": "Način uključivanja kamera u Birdseye: 'objekti', 'kretanje' ili 'kontinuirano'." + }, + "order": { + "label": "Pozicija", + "description": "Numerička pozicija koja kontroliše redoslijed kamera u rasporedu Birdseye." + }, + "restream": { + "label": "Ponovno prenos RTSP", + "description": "Ponovno prenos izlaza Birdseye kao RTSP tok; uključivanje ovoga će održavati Birdseye u neprekidnom radu." + }, + "width": { + "label": "Širina", + "description": "Širina izlaza (piksela) sastavljenog okvira Birdseye." + }, + "height": { + "label": "Visina", + "description": "Visina izlaza (piksela) sastavljenog okvira Birdseye." + }, + "quality": { + "label": "Kvalitet kodiranja", + "description": "Kvalitet kodiranja za Birdseye mpeg1 tok (1 najviši kvalitet, 31 najniži)." + }, + "inactivity_threshold": { + "label": "Prag neaktivnosti", + "description": "Sekunde neaktivnosti nakon kojih će kamera prestati da se prikazuje u Birdseye." + }, + "layout": { + "label": "Razmještaj", + "description": "Opcije razmještaja za sastavljanje Birdseye.", + "scaling_factor": { + "label": "Faktor skaliranja", + "description": "Faktor skaliranja korišten od strane računala za razmještaj (opseg 1.0 do 5.0)." + }, + "max_cameras": { + "label": "Maksimalan broj kamera", + "description": "Maksimalan broj kamera koje se mogu prikazati istovremeno u Birdseye; prikazuje najnovije kamere." + } + }, + "idle_heartbeat_fps": { + "label": "Neaktivno srčanog udaraca FPS", + "description": "Broj okvira po sekundi za ponovno slanje posljednjeg sastavljenog Birdseye okvira kada je neaktivno; postavite na 0 za onemogućavanje." + } + }, + "detect": { + "label": "Detekcija objekata", + "description": "Postavke za ulogu detekcije/detekcija koja se koristi za pokretanje detekcije objekata i inicijalizaciju praćenja.", + "enabled": { + "label": "Omogući detekciju objekata", + "description": "Omogući ili onemogući detekciju objekata za sve kamere; može se prekrimiti po kamere." + }, + "height": { + "label": "Visina detekcije", + "description": "Visina (pikseli) okvira korištenih za detekciju stream-a; ostavite prazno za korištenje originalne rezolucije stream-a." + }, + "width": { + "label": "Širina detekcije", + "description": "Širina (pikseli) okvira korištenih za detekciju stream-a; ostavite prazno za korištenje originalne rezolucije stream-a." + }, + "fps": { + "label": "Detekcija FPS", + "description": "Željeni broj okvira po sekundi za pokretanje detekcije; niže vrijednosti smanjuju upotrebu CPU-a (preporučena vrijednost je 5, postavite više - najviše 10 - samo ako praćite vrlo brze objekte)." + }, + "min_initialized": { + "label": "Minimalni broj okvira inicijalizacije", + "description": "Broj uzastopnih detekcija potreban prije stvaranja praćenog objekta. Povećajte da biste smanjili lažne inicijalizacije. Zadana vrijednost je fps podijeljeno sa 2." + }, + "max_disappeared": { + "label": "Maksimalni broj okvira koji su nestali", + "description": "Broj okvira bez detekcije prije nego što se praćeni objekt smatra izgubljenim." + }, + "stationary": { + "label": "Konfiguracija stacionarnih objekata", + "description": "Postavke za detekciju i upravljanje objektima koji ostaju stacionarni tokom određenog vremena.", + "interval": { + "label": "Stacionarni interval", + "description": "Kako često (u snimcima) pokretati provjeru detekcije da biste potvrdili stacionarni objekt." + }, + "threshold": { + "label": "Stacionarni prag", + "description": "Broj snimaka bez promjene pozicije potreban da bi objekt bio označen kao stacionarni." + }, + "max_frames": { + "label": "Maksimalni snimci", + "description": "Ograničava koliko dugo se stacionarni objekti praćaju prije nego što se odbacuju.", + "default": { + "label": "Zadani maksimalni snimci", + "description": "Zadani maksimalni broj snimaka za praćenje stacionarnog objekta prije prestanka." + }, + "objects": { + "label": "Maksimalni snimci po objektu", + "description": "Podešavanja po objektu za maksimalni broj snimaka za praćenje stacionarnih objekata." + } + }, + "classifier": { + "label": "Omogući vizualni klasifikator", + "description": "Koristi vizualni klasifikator za detekciju pravozadanih stacionarnih objekata čak i kada se okviri tresu." + } + }, + "annotation_offset": { + "label": "Pomak oznake", + "description": "Milisekunde za pomak detektiranih oznaka kako bi se bolje poravnali vremenski okviri s snimcima; može biti pozitivan ili negativan." + } + }, + "face_recognition": { + "label": "Prepoznavanje lica", + "enabled": { + "label": "Omogući prepoznavanje lica", + "description": "Omogući ili onemogući prepoznavanje lica za sve kamere; mogu se preklopiti po kameri." + }, + "min_area": { + "label": "Minimalna površina lica", + "description": "Minimalna površina (pikseli) detektiranog okvira lica potrebna za pokušaj prepoznavanja." + }, + "description": "Postavke za detekciju i prepoznavanje lica za sve kamere; mogu se preklopiti po kameri.", + "model_size": { + "label": "Veličina modela", + "description": "Veličina modela za korištenje za ugradnje lica (small/large); veće može zahtijevati GPU." + }, + "unknown_score": { + "label": "Prag neznatnog rezultata", + "description": "Prag udaljenosti ispod kojeg se lice smatra potencijalnim odgovarajućim (viši = stroži)." + }, + "detection_threshold": { + "label": "Prag detekcije", + "description": "Minimalni prag pouzdanosti potreban za razmatranje detekcije lica kao važeće." + }, + "recognition_threshold": { + "label": "Prag prepoznavanja", + "description": "Prag udaljenosti ugradnje lica za razmatranje dva lica kao odgovarajuća." + }, + "min_faces": { + "label": "Minimalan broj lica", + "description": "Minimalan broj prepoznavanja lica potreban prije nego što se primijeni prepoznati podnaziv za osobu." + }, + "save_attempts": { + "label": "Pokušaji sačuvanja", + "description": "Broj pokušaja prepoznavanja lica koje se treba sačuvati za korisnički sučelje najnovijih prepoznavanja." + }, + "blur_confidence_filter": { + "label": "Filter pouzdanosti za zamagljenost", + "description": "Prilagodite ocjene pouzdanosti na temelju zamagljenosti slike kako biste smanjili lažne pozitive za loše kvalitete lica." + }, + "device": { + "label": "Uređaj", + "description": "Ovo je prekršaj, da biste ciljali specifičan uređaj. Pogledajte https://onnxruntime.ai/docs/execution-providers/ za više informacija" + } + }, + "ffmpeg": { + "label": "FFmpeg", + "description": "Postavke FFmpeg uključuju putanju binarne datoteke, argumente, opcije hwaccel i izlazne argumente po ulozi.", + "path": { + "label": "Putanja do FFmpeg binarne datoteke", + "description": "Putanja do FFmpeg binarne datoteke ili verzija alias (\"5.0\" ili \"7.0\")." + }, + "global_args": { + "label": "Globalni argumenti FFmpeg-a", + "description": "Globalni argumenti prebačeni na procese FFmpeg." + }, + "hwaccel_args": { + "label": "Argumenti za ubrzanje hardvera", + "description": "Argumenti za ubrzanje hardvera za FFmpeg. Preporučuju se predložci specifični za dobavljača." + }, + "input_args": { + "label": "Unos argumenata", + "description": "Ulazni argumenti primjenjeni na ulazne snimke FFmpeg." + }, + "output_args": { + "label": "Izlazni argumenti", + "description": "Zadani izlazni argumenti korišteni za različite uloge FFmpeg-a poput detekcije i snimanja.", + "detect": { + "label": "Izlazni argumenti za detekciju", + "description": "Zadani izlazni argumenti za snimke uloga detekcije." + }, + "record": { + "label": "Izlazni argumenti za snimanje", + "description": "Zadani izlazni argumenti za snimke uloga snimanja." + } + }, + "retry_interval": { + "label": "Vrijeme ponovnog pokušaja FFmpeg-a", + "description": "Sekunde koje treba čekati prije nego što se pokuša ponovno uspostaviti veza s tokom kamere nakon neuspjeha. Zadano je 10." + }, + "apple_compatibility": { + "label": "Kompatibilnost s Apple-om", + "description": "Omogući označavanje HEVC za bolju kompatibilnost s igračima Apple-a prilikom snimanja H.265." + }, + "gpu": { + "label": "Indeks GPU-a", + "description": "Zadani indeks GPU-a korišten za ubrzanje hardvera ako je dostupan." + }, + "inputs": { + "label": "Ulazni podaci kamere", + "description": "Popis definicija ulaznih tokova (putanje i uloge) za ovu kameru.", + "path": { + "label": "Putanja ulaza", + "description": "URL ili putanja ulaznog toka kamere." + }, + "roles": { + "label": "Uloge ulaza", + "description": "Uloge za ovaj ulazni tok." + }, + "global_args": { + "label": "Globalni argumenti FFmpeg-a", + "description": "Globalni argumenti FFmpeg-a za ovaj ulazni tok." + }, + "hwaccel_args": { + "label": "Argumenti za ubrzanje hardvera", + "description": "Argumenti za ubrzanje hardvera za ovaj ulazni stream." + }, + "input_args": { + "label": "Unos argumenata", + "description": "Argumeti unosa specifični za ovaj stream." + } + } + }, + "live": { + "label": "Uživo prikaz", + "streams": { + "label": "Imena živih streamova", + "description": "Mapiranje konfiguriranih imena streamova na imena restream/go2rtc korишtena za uživo prikaz." + }, + "height": { + "label": "Visina uživo", + "description": "Visina (piksela) za prikaz jsmpeg živog streama u Web UI; mora biti <= visina detektiranog streama." + }, + "quality": { + "label": "Kvalitet uživo", + "description": "Kvalitet kodiranja za jsmpeg stream (1 najviši, 31 najniži)." + }, + "description": "Postavke za kontrolu rezolucije i kvalitete žive struje jsmpeg. Ovo ne utiče na kamere koje koriste go2rtc za živi pregled." + }, + "lpr": { + "label": "Prepoznavanje tablice vozila", + "description": "Postavke prepoznavanja tablice vozila uključujući pragovi detekcije, formatiranje i poznate tablice.", + "enabled": { + "label": "Omogući LPR", + "description": "Omogući ili onemogući prepoznavanje tablice za sve kamere; može se prekršiti po kamere." + }, + "expire_time": { + "label": "Sekunde isteka", + "description": "Vrijeme u sekundama nakon kojeg nevidljiva tablica istječe iz praćenja (samo za dedikovane LPR kamere)." + }, + "min_area": { + "label": "Minimalna površina tablice", + "description": "Minimalna površina tablice (piksela) potrebna za pokušaj prepoznavanja." + }, + "enhancement": { + "label": "Nivo poboljšanja", + "description": "Nivo poboljšanja (0-10) za primjenu na isječke tablice prije OCR-a; veće vrijednosti ne moraju uvijek poboljšati rezultate, nivoi iznad 5 mogu raditi samo s tablicama u noćnom vremenu i trebaju se koristiti s oprezom." + }, + "model_size": { + "label": "Veličina modela", + "description": "Veličina modela korištena za detekciju/pretvorbu teksta. Većina korisnika treba koristiti 'small'." + }, + "detection_threshold": { + "label": "Prag detekcije", + "description": "Prag pouzdanosti detekcije za početak izvršavanja OCR na sumnjivim pločama." + }, + "recognition_threshold": { + "label": "Prag prepoznavanja", + "description": "Prag pouzdanosti potreban za prepoznati tekst ploče da bi se priložio kao podnaziv." + }, + "min_plate_length": { + "label": "Minimalna dužina ploče", + "description": "Minimalan broj znakova koje prepoznata ploča mora sadržavati da bi se smatrala važećom." + }, + "format": { + "label": "Regex formata ploče", + "description": "Nepovlačen regex za provjeru prepoznatih nizova ploča protiv očekivanog formata." + }, + "match_distance": { + "label": "Razlika u odgovaranju", + "description": "Broj nepravilnih znakova dopuštenih pri uspoređivanju detektiranih ploča s poznatim pločama." + }, + "known_plates": { + "label": "Poznate ploče", + "description": "Popis ploča ili regexa za posebno praćenje ili upozorenje." + }, + "debug_save_plates": { + "label": "Sačuvaj tablice za debagovanje", + "description": "Sačuvaj slike izrezaka tablica za debagovanje performansi LPR." + }, + "device": { + "label": "Uređaj", + "description": "Ovo je preklop za ciljanje specifičnog uređaja. Vidi https://onnxruntime.ai/docs/execution-providers/ za više informacija" + }, + "replace_rules": { + "label": "Pravila zamjene", + "description": "Pravila zamjene regex korишtena za normalizaciju detektiranih stringova ploča prije uspoređivanja.", + "pattern": { + "label": "Regex uzorak" + }, + "replacement": { + "label": "Zamjenski string" + } + } + }, + "motion": { + "label": "Detekcija pokreta", + "enabled": { + "label": "Omogući detekciju pokreta", + "description": "Omogući ili onemogući detekciju pokreta za sve kamere; može se prekrimiti po kamere." + }, + "threshold": { + "label": "Prag pokreta", + "description": "Prag razlike piksela korišten za detektor pokreta; veće vrijednosti smanjuju osjetljivost (opseg 1-255)." + }, + "lightning_threshold": { + "label": "Prag munje", + "description": "Prag za detekciju i zanemarivanje kratkih iskri svjetlosti (niže vrijednosti povećavaju osjetljivost, vrijednosti između 0.3 i 1.0). Ovo ne spriječava detekciju pokreta u potpunosti; jednostavno zaustavlja detektor da analizira dodatne okvire nakon što se prag premaši. Snimci temeljeni na pokretima i dalje se stvaraju tijekom ovih događaja." + }, + "skip_motion_threshold": { + "label": "Preskoči prag pokreta", + "description": "Ako se postavi na vrijednost između 0.0 i 1.0, i ako se više od ovog udjela slike promijeni u jednom okviru, detektor neće vratiti kutije pokreta i odmah će se ponovno kalibrirati. Ovo može uštedjeti CPU i smanjiti lažne pozitive tijekom munje, oluje itd., ali može propustiti stvarne događaje kao što je automatsko praćenje objekta PTZ kamerom. Tržište je između izgube nekoliko megabajta snimaka i pregleda nekoliko kratkih zapisnika. Ostavite nepostavljeno (Nijedno) za onemogućavanje ove funkcije." + }, + "improve_contrast": { + "label": "Poboljšaj kontrast", + "description": "Primijeni poboljšanje kontrasta na okvire prije analize pokreta kako bi pomoću detekcije." + }, + "contour_area": { + "label": "Površina kontura", + "description": "Minimalna površina kontura u pikselima potrebna za brojanje kontura pokreta." + }, + "delta_alpha": { + "label": "Delta alfa", + "description": "Faktor alfa spajanja korišten za razliku okvira za izračun pokreta." + }, + "frame_alpha": { + "label": "Alfa okvira", + "description": "Vrijednost alfa korištena prilikom spajanja okvira za predobradbu pokreta." + }, + "frame_height": { + "label": "Visina okvira", + "description": "Visina u pikselima na koju se skaliraju okviri prilikom izračuna pokreta." + }, + "mask": { + "label": "Koordinate maska", + "description": "Uredno x,y koordinate koje definiraju poligon maska pokreta za uključivanje/isključivanje područja." + }, + "mqtt_off_delay": { + "label": "MQTT zakasnjenje isključivanja", + "description": "Sekunde koje se čekaju nakon posljednjeg pokreta prije objave MQTT 'isključeno' stanje." + }, + "enabled_in_config": { + "label": "Originalno stanje pokreta", + "description": "Indikira je li detekcija pokreta bila omogućena u originalnoj statičkoj konfiguraciji." + }, + "raw_mask": { + "label": "Ručna maska" + }, + "description": "Zadane postavke detekcije pokreta primjenjene na kamere osim ako se prekrivaju po kamere." + }, + "objects": { + "label": "Objekti", + "description": "Zadani parametri praćenja objekata uključujući koje oznake praćenja i filtre po objektu.", + "track": { + "label": "Objekti za praćenje", + "description": "Popis oznaka objekata za praćenje za sve kamere; može se prekrimiti po kamere." + }, + "filters": { + "label": "Filtar objekata", + "description": "Filtar primijenjen na detektirane objekte kako bi se smanjila broj lažnih pozitiva (površina, omjer, pouzdanost).", + "min_area": { + "label": "Minimalna površina objekta", + "description": "Minimalna površina okvira (pikseli ili postotak) potrebna za ovaj tip objekta. Može biti pikseli (cijeli broj) ili postotak (float između 0.000001 i 0.99)." + }, + "max_area": { + "label": "Maksimalna površina objekta", + "description": "Maksimalna površina okvira (pikseli ili postotak) dozvoljena za ovaj tip objekta. Može biti pikseli (cijeli broj) ili postotak (float između 0.000001 i 0.99)." + }, + "min_ratio": { + "label": "Minimalni omjer visine/širine", + "description": "Minimalni omjer širine/visine potreban da bi okvir bio prihvaćen." + }, + "max_ratio": { + "label": "Maksimalni omjer visine/širine", + "description": "Maksimalni omjer širine/visine dozvoljen da bi okvir bio prihvaćen." + }, + "threshold": { + "label": "Prag pouzdanosti", + "description": "Prosjek pragova pouzdanosti detekcije potreban da bi objekt bio smatravan pravim pozitivom." + }, + "min_score": { + "label": "Minimalna pouzdanost", + "description": "Minimalna pouzdanost detekcije po okviru potrebna da bi objekt bio brojan." + }, + "mask": { + "label": "Maska filtriranja", + "description": "Koordinate poligona koje definiraju područje na kojem se ovaj filter primjenjuje unutar okvira." + }, + "raw_mask": { + "label": "Ručna maska" + } + }, + "mask": { + "label": "Maska objekta", + "description": "Poligonalna maska korištena za spriječavanje detekcije objekta u određenim područjima." + }, + "raw_mask": { + "label": "Ručna maska" + }, + "genai": { + "label": "Konfiguracija GenAI objekta", + "description": "Opcije GenAI za opisivanje praćenih objekata i slanje okvira za generisanje.", + "enabled": { + "label": "Omogući GenAI", + "description": "Omogući generisanje opisa za praćene objekte po zadanim postavkama." + }, + "use_snapshot": { + "label": "Koristi snimke", + "description": "Koristi snimke objekata umjesto miniaturnih slika za generisanje opisa GenAI." + }, + "prompt": { + "label": "Naslovni prompt", + "description": "Zadani šablon upita korišten za generisanje opisa pomoću GenAI." + }, + "object_prompts": { + "label": "Prompti za objekte", + "description": "Prompti po objektu za prilagođavanje izlaza GenAI za specifične oznake." + }, + "objects": { + "label": "GenAI objekti", + "description": "Popis oznaka objekata koje se po defaultu šalju GenAI." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje moraju biti unesene za objekte da bi se kvalifikovali za generisanje opisa GenAI." + }, + "debug_save_thumbnails": { + "label": "Sačuvajte miniaturne slike", + "description": "Sačuvaj miniaturne slike koje se šalju GenAI za ispravljanje i pregled." + }, + "send_triggers": { + "label": "GenAI izazivači", + "description": "Definiše kada bi se trebale slati okvir za GenAI (na kraju, nakon ažuriranja, itd.).", + "tracked_object_end": { + "label": "Pošalji na kraju", + "description": "Pošalji zahtjev GenAI kada praćeni objekt završi." + }, + "after_significant_updates": { + "label": "Raniji GenAI izazivač", + "description": "Pošalji zahtjev GenAI nakon određenog broja značajnih ažuriranja za praćeni objekt." + } + }, + "enabled_in_config": { + "label": "Originalno stanje GenAI", + "description": "Pokazuje je li GenAI bio omogućen u originalnoj statičkoj konfiguraciji." + } + } + }, + "record": { + "label": "Snimanje", + "enabled": { + "label": "Omogući snimanje", + "description": "Omogući ili onemogući snimanje za sve kamere; može se prekrimiti po kamere." + }, + "expire_interval": { + "label": "Interval čišćenja snimanja", + "description": "Minute između čišćenja koja uklanjaju istekle segmente snimaka." + }, + "continuous": { + "label": "Neprekidna retencija", + "description": "Broj dana za čuvanje snimaka bez obzira na praćene objekte ili pokret. Postavite na 0 ako želite da čuvate samo snimke upozorenja i detekcije.", + "days": { + "label": "Dane zadržavanja", + "description": "Dana za čuvanje snimaka." + } + }, + "motion": { + "label": "Retencija pokreta", + "description": "Broj dana za čuvanje snimaka izazvanih pokretom bez obzira na praćene objekte. Postavite na 0 ako želite da čuvate samo snimke upozorenja i detekcije.", + "days": { + "label": "Dane zadržavanja", + "description": "Dana za čuvanje snimaka." + } + }, + "detections": { + "label": "Retencija detekcije", + "description": "Postavke retencije snimaka za događaje detekcije uključujući trajanje pre/post snimanja.", + "pre_capture": { + "label": "Sekundi pre snimanja", + "description": "Broj sekundi prije događaja detekcije koje treba uključiti u snimak." + }, + "post_capture": { + "label": "Sekunde nakon snimanja", + "description": "Broj sekundi nakon događaja detekcije koje se uključuju u snimanje." + }, + "retain": { + "label": "Zadržavanje događaja", + "description": "Postavke zadržavanja za snimke događaja detekcije.", + "days": { + "label": "Dane zadržavanja", + "description": "Broj dana za koje se zadržavaju snimke događaja detekcije." + }, + "mode": { + "label": "Način zadržavanja", + "description": "Način zadržavanja: sve (sačuvati sve segmente), pokret (sačuvati segmente s pokretom), ili aktivni_objekti (sačuvati segmente s aktivnim objektima)." + } + } + }, + "alerts": { + "label": "Retencija upozorenja", + "description": "Postavke retencije snimaka za događaje upozorenja uključujući trajanje pre/post snimanja.", + "pre_capture": { + "label": "Sekundi pre snimanja", + "description": "Broj sekundi prije događaja detekcije koje treba uključiti u snimak." + }, + "post_capture": { + "label": "Sekunde nakon snimanja", + "description": "Broj sekundi nakon događaja detekcije koje se uključuju u snimanje." + }, + "retain": { + "label": "Zadržavanje događaja", + "description": "Postavke zadržavanja za snimke događaja detekcije.", + "days": { + "label": "Dane zadržavanja", + "description": "Broj dana za koje se zadržavaju snimke događaja detekcije." + }, + "mode": { + "label": "Način zadržavanja", + "description": "Način zadržavanja: sve (sačuvati sve segmente), pokret (sačuvati segmente s pokretom), ili aktivni_objekti (sačuvati segmente s aktivnim objektima)." + } + } + }, + "export": { + "label": "Konfiguracija izvoza", + "description": "Postavke koje se koriste prilikom izvoza snimaka kao što su timelapse i ubrzavanje dretve.", + "hwaccel_args": { + "label": "Argumeti ubrzavanja dretve za izvoz", + "description": "Argumeti ubrzavanja dretve za operacije izvoza/prenosa." + }, + "max_concurrent": { + "label": "Maksimalan broj istovremenih izvoza", + "description": "Maksimalan broj poslova izvoza koji se obrađuju istovremeno." + } + }, + "preview": { + "label": "Konfiguracija pregleda", + "description": "Postavke koje kontrolišu kvalitet pregleda snimanja prikazanih u UI.", + "quality": { + "label": "Kvaliteta pregleda", + "description": "Nivo kvalitete pregleda (vrlo_nizak, nizak, srednji, visok, vrlo_visok)." + } + }, + "enabled_in_config": { + "label": "Originalno stanje snimanja", + "description": "Pokazuje je li snimanje bilo omogućeno u originalnoj statičkoj konfiguraciji." + }, + "description": "Postavke za snimanje i zadržavanje primjenjene na kamere osim ako se prekrivaju po kamere." + }, + "review": { + "label": "Pregled", + "alerts": { + "label": "Konfiguracija upozorenja", + "description": "Postavke za koje objekti praćeni generišu upozorenja i kako se upozorenja zadržavaju.", + "enabled": { + "label": "Omogući upozorenja", + "description": "Omogući ili onemogući generisanje upozorenja za sve kamere; može se prekrimiti po kamere." + }, + "labels": { + "label": "Oznake upozorenja", + "description": "Lista oznaka objekata koje se smatraju upozorenjima (npr. automobil, osoba)." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje objekt mora ući da bi se smatrao upozorenjem; ostavite prazno da omogućite bilo koju zonu." + }, + "enabled_in_config": { + "label": "Originalno stanje upozorenja", + "description": "Pratiti je li upozorenja izvorno omogućena u statičkoj konfiguraciji." + }, + "cutoff_time": { + "label": "Vrijeme prekida upozorenja", + "description": "Sekunde koje treba čekati nakon što nema aktivnosti koja uzrokuje upozorenje prije nego se prekine upozorenje." + } + }, + "detections": { + "label": "Konfiguracija detekcija", + "description": "Postavke koje objekti koje se praćenje generišu detekcije (nepozornja) i kako se detekcije čuvaju.", + "enabled": { + "label": "Omogući detekcije", + "description": "Omogući ili onemogući događaje detekcije za sve kamere; može se prekrimiti po kamere." + }, + "labels": { + "label": "Oznake detekcije", + "description": "Popis oznaka objekata koje kvalifikuju kao događaji detekcije." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje objekt mora ući da bi se smatrao detekcijom; ostavite prazno da omogućite bilo koju zonu." + }, + "cutoff_time": { + "label": "Vrijeme prekida detekcija", + "description": "Sekunde koje treba čekati nakon što nema aktivnosti koja uzrokuje detekciju prije nego se prekine detekcija." + }, + "enabled_in_config": { + "label": "Originalno stanje detekcija", + "description": "Pratiti je li detekcije izvorno omogućene u statičkoj konfiguraciji." + } + }, + "genai": { + "label": "Konfiguracija GenAI", + "description": "Kontrolira korištenje generativne AI za proizvodnju opisa i sažetaka stavki za pregled.", + "enabled": { + "label": "Omogući opise GenAI", + "description": "Omogući ili onemogući opise i sažetke generirane GenAI za stavke za pregled." + }, + "alerts": { + "label": "Omogući GenAI za upozorenja", + "description": "Koristi GenAI za generiranje opisa stavki upozorenja." + }, + "detections": { + "label": "Omogući GenAI za detekcije", + "description": "Koristite GenAI za generiranje opisa predmeta detekcije." + }, + "image_source": { + "label": "Pregledajte izvor slike", + "description": "Izvor slika poslatih GenAIJ-u ('preview' ili 'recordings'); 'recordings' koristi kvalitetnije okvire, ali više tokena." + }, + "additional_concerns": { + "label": "Dodatne brige", + "description": "Popis dodatnih briga ili napomena koje GenAI treba uzeti u obzir prilikom procjene aktivnosti na ovoj kameri." + }, + "debug_save_thumbnails": { + "label": "Sačuvajte miniaturne slike", + "description": "Sačuvajte miniaturne slike koje se šalju GenAI provajderu za ispravljanje grešaka i pregled." + }, + "enabled_in_config": { + "label": "Originalno stanje GenAI", + "description": "Pratiti je li pregled GenAI izvorno omogućen u statičkoj konfiguraciji." + }, + "preferred_language": { + "label": "Preferirani jezik", + "description": "Preferirani jezik za zahtijevanje od GenAI provajdera za generirane odgovore." + }, + "activity_context_prompt": { + "label": "Prompt konteksta aktivnosti", + "description": "Prilagođeni prompt koji opisuje što je i što nije sumnjivo ponašanje kako bi pružio kontekst za sažetke GenAI." + } + }, + "description": "Postavke koje kontrolišu upozorenja, detekcije i GenAI pregledne sažetke korišteni od strane UI i skladišta." + }, + "semantic_search": { + "label": "Semantička pretraga", + "triggers": { + "label": "Pokretači", + "description": "Akcije i kriteriji za usklađivanje za pokretače semantičke pretrage specifične za kameru.", + "friendly_name": { + "label": "Prijateljsko ime", + "description": "Nepovlačno prijateljsko ime prikazano u korisničkom sučelju za ovaj pokretač." + }, + "enabled": { + "label": "Omogući ovaj pokretač", + "description": "Omogući ili onemogući ovaj pokretač semantičke pretrage." + }, + "type": { + "label": "Tip pokretača", + "description": "Tip pokretača: 'thumbnail' (uspoređivanje slikom) ili 'description' (uspoređivanje teksta)." + }, + "data": { + "label": "Sadržaj pokretača", + "description": "Tekstualni izraz ili ID miniaturne slike za uspoređivanje s praćenim objektima." + }, + "threshold": { + "label": "Prag aktivacije", + "description": "Minimalna ocjena sličnosti (0-1) potrebna za aktivaciju ovog izazivača." + }, + "actions": { + "label": "Akcije izazivača", + "description": "Popis akcija koje se izvršavaju kada izazivač odgovara (obavijest, pod_naziv, atribute)." + } + }, + "description": "Postavke za semantičku pretragu koja građi i upita objektne ugradnje da bi pronašla slične stavke.", + "enabled": { + "label": "Omogući semantičku pretragu", + "description": "Omogući ili onemogući funkciju semantičke pretrage." + }, + "reindex": { + "label": "Ponovno indeksiranje pri pokretanju", + "description": "Pokrenite puno ponovno indeksiranje povijesnih praćenih objekata u bazu ugradnji." + }, + "model": { + "label": "Ime modela za semantičku pretragu ili dobavljača GenAI", + "description": "Model ugradnje koji se koristi za semantičku pretragu (npr. 'jinav1'), ili ime dobavljača GenAI s ulogom ugradnje." + }, + "model_size": { + "label": "Veličina modela", + "description": "Izaberite veličinu modela; 'small' radi na CPU i 'large' obično zahtijeva GPU." + }, + "device": { + "label": "Uređaj", + "description": "Ovo je preklop za ciljanje specifičnog uređaja. Vidi https://onnxruntime.ai/docs/execution-providers/ za više informacija" + } + }, + "snapshots": { + "label": "Snimci", + "enabled": { + "label": "Omogući snimke", + "description": "Omogući ili onemogući sačuvanje snimaka za sve kamere; može se prekrimiti po kamere." + }, + "timestamp": { + "label": "Preklapanje vremenske oznake", + "description": "Preklopiti vremensku oznaku na snimke iz API-ja." + }, + "bounding_box": { + "label": "Preklapanje okvira", + "description": "Crtanje okvira za praćene objekte na snimke iz API-ja." + }, + "crop": { + "label": "Izrezivanje snimke", + "description": "Izrezivanje snimki iz API-ja do okvira detektiranog objekta." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje objekt mora ući da bi snimka bila sačuvana." + }, + "height": { + "label": "Visina snimke", + "description": "Visina (pikseli) za promjenu veličine snimki iz API-ja; ostavite prazno da biste sačuvali originalnu veličinu." + }, + "retain": { + "label": "Zadržavanje snimki", + "description": "Postavke zadržavanja snimki uključujući zadane dane i prekriženja po objektu.", + "default": { + "label": "Zadano zadržavanje", + "description": "Zadani broj dana za zadržavanje snimki." + }, + "mode": { + "label": "Način zadržavanja", + "description": "Način zadržavanja: sve (sačuvati sve segmente), pokret (sačuvati segmente s pokretom), ili aktivni_objekti (sačuvati segmente s aktivnim objektima)." + }, + "objects": { + "label": "Zadržavanje objekata", + "description": "Prekriženja po objektu za dane zadržavanja snimki." + } + }, + "quality": { + "label": "Kvaliteta snimka", + "description": "Kvaliteta kodiranja za sačuvane snimke (0-100)." + }, + "description": "Postavke za API generisane snimke praćenih objekata za sve kamere; može se prekrimiti po kamere." + }, + "timestamp_style": { + "label": "Stil vremenske oznake", + "position": { + "label": "Pozicija vremenske oznake", + "description": "Pozicija vremenske oznake na slici (tl/tr/bl/br)." + }, + "format": { + "label": "Format vremenske oznake", + "description": "String formata datuma i vremena korišten za vremenske oznake (Python format koda za datum i vrijeme)." + }, + "color": { + "label": "Boja vremenske oznake", + "description": "RGB vrijednosti boja za tekst vremenske oznake (sve vrijednosti 0-255).", + "red": { + "label": "Crvena", + "description": "Crveni komponent (0-255) za boju vremenske oznake." + }, + "green": { + "label": "Zelena", + "description": "Zeleni komponent (0-255) za boju vremenske oznake." + }, + "blue": { + "label": "Plava", + "description": "Plavi komponent (0-255) za boju vremenske oznake." + } + }, + "thickness": { + "label": "Debljina vremenske oznake", + "description": "Debljina linije teksta vremenske oznake." + }, + "effect": { + "label": "Efekt vremenske oznake", + "description": "Vizualni efekt za tekst vremenske oznake (none, solid, shadow)." + }, + "description": "Opcije stilizacije vremenskih oznaka u toku prikaza primjenjene na debug prikaz i snimke." + }, + "mqtt": { + "label": "MQTT", + "description": "Postavke za povezivanje i objavljivanje telemetrije, snimaka i detalja događaja na MQTT brokera.", + "enabled": { + "label": "Omogući MQTT", + "description": "Omogući ili onemogući integraciju MQTT za stanje, događaje i snimke." + }, + "host": { + "label": "Gospodar MQTT", + "description": "Ime domene ili IP adresa MQTT brokera." + }, + "port": { + "label": "Port MQTT", + "description": "Port MQTT brokera (obično 1883 za običan MQTT)." + }, + "topic_prefix": { + "label": "Predfiks teme", + "description": "Predložak teme MQTT za sve teme Frigate; mora biti jedinstven ako pokrećete više instanci." + }, + "client_id": { + "label": "ID klijenta", + "description": "Identifikator klijenta korišten pri povezivanju s MQTT brokerom; trebao bi biti jedinstven po instanci." + }, + "stats_interval": { + "label": "Interval statistika", + "description": "Interval u sekundama za objavljivanje sustavnih i kamera statistika na MQTT." + }, + "user": { + "label": "Korisničko ime MQTT", + "description": "Nepovlačno korisničko ime MQTT; može se pružiti putem varijabli okoline ili vjerodajnica." + }, + "password": { + "label": "Lozinka MQTT", + "description": "Nepovlačna lozinka MQTT; može se pružiti putem varijabli okoline ili vjerodajnica." + }, + "tls_ca_certs": { + "label": "TLS CA sertifikati", + "description": "Putanja do sertifikata CA za TLS povezivanje s brokerom (za samopotpisane sertifikate)." + }, + "tls_client_cert": { + "label": "Klijent sertifikat", + "description": "Putanja do sertifikata klijenta za TLS međusobnu autentifikaciju; ne postavljajte korisničko ime/lozinku kada koristite sertifikate klijenta." + }, + "tls_client_key": { + "label": "Klijent ključ", + "description": "Putanja do privatnog ključa za klijent sertifikat." + }, + "tls_insecure": { + "label": "TLS nebezbedan", + "description": "Dozvoli nebezbedne TLS povezivanja preskačući provjeru imena domene (nije preporučeno)." + }, + "qos": { + "label": "MQTT QoS", + "description": "Nivo kvaliteta usluge za MQTT objave/pretplate (0, 1 ili 2)." + } + }, + "notifications": { + "label": "Obavještenja", + "enabled": { + "label": "Omogući obavijesti", + "description": "Omogući ili onemogući obavijesti za sve kamere; mogu se prekrivati po kamere." + }, + "email": { + "label": "E-mail za obavijesti", + "description": "Adresa e-maila koja se koristi za obavijesti putem push-a ili je potrebna određenim dobavljačima obavijesti." + }, + "cooldown": { + "label": "Period hlađenja", + "description": "Period hlađenja (sekunde) između obavijesti kako bi se izbjeglo spaming primateljima." + }, + "enabled_in_config": { + "label": "Originalno stanje obavijesti", + "description": "Pokazuje je li obavijesti bile omogućene u originalnoj statičkoj konfiguraciji." + }, + "description": "Postavke za omogućavanje i kontrolu obavijesti za sve kamere; mogu se prekrivati po kamere." + }, + "onvif": { + "label": "ONVIF", + "description": "Postavke povezivanja preko ONVIF i automatskog praćenja PTZ za ovu kameru.", + "host": { + "label": "Gost ONVIF", + "description": "Gost (i opcionalni shema) za uslugu ONVIF za ovu kameru." + }, + "port": { + "label": "Port ONVIF", + "description": "Broj porta za uslugu ONVIF." + }, + "user": { + "label": "Korisničko ime za ONVIF", + "description": "Korisničko ime za autentifikaciju ONVIF; neki uređaji zahtijevaju korisnika admin za ONVIF." + }, + "password": { + "label": "Lozinka za ONVIF", + "description": "Lozinka za autentifikaciju ONVIF." + }, + "tls_insecure": { + "label": "Onemogući provjeru TLS", + "description": "Preskoči provjeru TLS i onemogući digest autentifikaciju za ONVIF (nebezbedno; koristiti samo u sigurnim mrežama)." + }, + "profile": { + "label": "ONVIF profil", + "description": "Specifičan ONVIF medij profil za korištenje za kontrolu PTZ, prilagođen tokenom ili imenom. Ako nije postavljen, prvi profil s važećom konfiguracijom PTZ automatski se odabire." + }, + "autotracking": { + "label": "Autotračenje", + "description": "Automatski praćenje pokretanja objekata i držanje ih u sredini okvira korištenjem pokreta kamere PTZ.", + "enabled": { + "label": "Omogući automatsko praćenje", + "description": "Omogući ili onemogući automatsko praćenje kamere PTZ detektiranih objekata." + }, + "calibrate_on_startup": { + "label": "Kalibriraj na početku", + "description": "Mjeri brzine motora PTZ pri pokretanju kako bi poboljšao preciznost praćenja. Frigate će ažurirati konfiguraciju s težinama pokreta nakon kalibracije." + }, + "zooming": { + "label": "Režim zumiranja", + "description": "Kontrola ponašanja zumiranja: onemogućeno (samo pan/tilt), apsolutno (najkompatibilnije) ili relativno (konkurentno pan/tilt/zum)." + }, + "zoom_factor": { + "label": "Faktor zumiranja", + "description": "Kontrola razine zumiranja na praćenim objektima. Niže vrijednosti drže više scene u pogledu; više vrijednosti zumiraju bliže, ali mogu izgubiti praćenje. Vrijednosti između 0.1 i 0.75." + }, + "track": { + "label": "Praćeni objekti", + "description": "Popis vrsta objekata koji trebaju pokrenuti automatsko praćenje." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Objekti moraju ući u jednu od ovih zona prije nego što započne automatsko praćenje." + }, + "return_preset": { + "label": "Povratak na predpostavku", + "description": "Ime predpostavke konfigurirano u firmware kamere za povratak nakon završetka praćenja." + }, + "timeout": { + "label": "Vrijeme čekanja povratka", + "description": "Čekajte ovaj broj sekundi nakon gubitka praćenja prije povratka kamere na predpostavljeno mjesto." + }, + "movement_weights": { + "label": "Težine pokreta", + "description": "Vrijednosti kalibracije automatski generirane kroz kalibraciju kamere. Ne mijenjajte ručno." + }, + "enabled_in_config": { + "label": "Originalni stanje autotračenja", + "description": "Unutarnje polje za praćenje je li autotračenje bilo omogućeno u konfiguraciji." + } + }, + "ignore_time_mismatch": { + "label": "Zanemari razliku u vremenu", + "description": "Zanemari razlike u sinhronizaciji vremena između kamere i Frigate servera za komunikaciju ONVIF." + } + }, + "profiles": { + "label": "Profili", + "description": "Imenovane definicije profila s prijateljivim imenima. Profili kamera moraju se referirati na imena definirana ovdje.", + "friendly_name": { + "label": "Prijateljsko ime", + "description": "Prikazano ime za ovaj profil prikazano u UI-u." + } + }, + "safe_mode": { + "label": "Sigurnosni režim", + "description": "Kada je omogućeno, pokrenite Frigate u sigurnosnom režimu s smanjenim funkcijama za uklanjanje problema." + }, + "environment_vars": { + "label": "Okolinski varijable", + "description": "Parovi ključ/vrijednost okolinskih varijabli za postavljanje za proces Frigate u Home Assistant OS. Korisnici koji nisu HAOS moraju koristiti konfiguraciju okolinskih varijabli Docker umjesto toga." + }, + "logger": { + "label": "Zapisi", + "description": "Kontrolira podrazumijevanu razinu detaljnosti zapisa i prekriženja razina detaljnosti po komponenti.", + "default": { + "label": "Razina zapisa", + "description": "Podrazumijevana globalna razina detaljnosti (debug, info, warning, error)." + }, + "logs": { + "label": "Razina zapisa po procesu", + "description": "Prekriženja razina detaljnosti po komponenti za povećanje ili smanjenje detaljnosti za određene module." + } + }, + "auth": { + "label": "Autentifikacija", + "description": "Postavke povezane s autentifikacijom i sesijama uključujući opcije kolačića i ograničenja brzine.", + "enabled": { + "label": "Omogući autentifikaciju", + "description": "Omogući nativnu autentifikaciju za korisnički sučelje Frigate." + }, + "reset_admin_password": { + "label": "Ponovno postavljanje lozinke administratora", + "description": "Ako je tačno, ponovno postavite lozinku korisnika administratora pri pokretanju i ispišite novu lozinku u zapisima." + }, + "cookie_name": { + "label": "Ime kolačića JWT", + "description": "Ime kolačića koji se koristi za pohranjivanje JWT tokena za nativnu autentifikaciju." + }, + "cookie_secure": { + "label": "Sigurnosni flag kolačića", + "description": "Postavite sigurnosni flag na kolačić autentifikacije; trebalo bi biti tačno kada se koristi TLS." + }, + "session_length": { + "label": "Trajanje sesije", + "description": "Trajanje sesije u sekundama za sesije temeljene na JWT." + }, + "refresh_time": { + "label": "Prozor osvežavanja sesije", + "description": "Kada se sesija nalazi unutar ovih sekundi do isteka, ponovo je ažurirati na punu dužinu." + }, + "failed_login_rate_limit": { + "label": "Ograničenja za neuspješne prijave", + "description": "Pravila ograničavanja brzine za neuspješne pokušaje prijave kako bi se smanjila napada silom." + }, + "trusted_proxies": { + "label": "Povereni proxy-ovi", + "description": "Lista IP adresa poverenih proxy-ova korištena prilikom određivanja IP adrese klijenta za ograničavanje brzine." + }, + "hash_iterations": { + "label": "Iteracije haširanja", + "description": "Broj iteracija PBKDF2-SHA256 koje se koriste za kriptiranje lozinki korisnika." + }, + "roles": { + "label": "Mapiranja uloga", + "description": "Pridružiti uloge listama kamera. Prazna lista omogućava pristup svim kamerama za ulogu." + }, + "admin_first_time_login": { + "label": "Zastavica za prvi put administrator", + "description": "Kada je istina, UI može prikazati poveznicu za pomoć na stranici prijave koja obavješćuje korisnike kako se prijaviti nakon ponovnog postavljanja lozinke administratora. " + } + }, + "database": { + "label": "Baza podataka", + "description": "Postavke SQLite baze podataka korištene od strane Frigate za pohranjivanje metapodataka praćenih objekata i metapodataka snimaka.", + "path": { + "label": "Putanja do baze podataka", + "description": "Putanja datotečnog sustava gdje će se datoteka SQLite baze podataka Frigate pohraniti." + } + }, + "go2rtc": { + "label": "go2rtc", + "description": "Postavke integrirane usluge go2rtc ponovnog prenošenja korištene za prenošenje živih streamova i prevodjenje." + }, + "networking": { + "label": "Mrežno", + "description": "Postavke povezane s mrežom, kao što je omogućavanje IPv6 za Frigate krajeve.", + "ipv6": { + "label": "Konfiguracija IPv6", + "description": "IPv6-specifične postavke za mrežne usluge Frigate.", + "enabled": { + "label": "Omogući IPv6", + "description": "Omogući podršku za IPv6 za usluge Frigate (API i UI) gdje je primjenjivo." + } + }, + "listen": { + "label": "Konfiguracija slušajućih porta", + "description": "Konfiguracija unutarnjih i vanjskih slušajućih porta. Ovo je za napredne korisnike. Za većinu slučajeva preporučuje se promijeniti sekciju porta u svojoj Docker compose datoteci.", + "internal": { + "label": "Unutarnji port", + "description": "Unutarnji slušajući port za Frigate (zadano 5000)." + }, + "external": { + "label": "Vanjski port", + "description": "Vanjski slušajući port za Frigate (zadano 8971)." + } + } + }, + "proxy": { + "label": "Proxy", + "description": "Postavke za integraciju Frigate iza obrnute proxy posrednike koji prenose zaglavlja autentificiranih korisnika.", + "header_map": { + "label": "Mapiranje zaglavlja", + "description": "Mapiraj dolazna zaglavlja proxy-a na polja korisnika i uloge Frigate za autentifikaciju baziranu na proxy-u.", + "user": { + "label": "Zaglavlje korisnika", + "description": "Zaglavlje koje sadrži autentificirano korisničko ime pruženo od strane nadolazećeg proxy-a." + }, + "role": { + "label": "Zaglavlje uloge", + "description": "Zaglavlje koje sadrži ulogu ili grupe autentificiranog korisnika od strane nadolazećeg proxy-a." + }, + "role_map": { + "label": "Mapiranje uloga", + "description": "Mapiraj vrijednosti grupe iznad na uloge Frigate (npr. mapiraj grupe administratora na ulogu administratora)." + } + }, + "logout_url": { + "label": "URL za odjavu", + "description": "URL na koji će korisnici biti preusmjereni kada se odjave putem proxy-a." + }, + "auth_secret": { + "label": "Tajna proxy", + "description": "Nepovlačena tajna provjeravana protiv zaglavlja X-Proxy-Secret za potvrdu pouzdanih proxy-a." + }, + "default_role": { + "label": "Zadana uloga", + "description": "Zadana uloga dodijeljena korisnicima autentificiranim putem proxy-a kada neka mapiranja uloga ne vrijede (administrator ili pregledač)." + }, + "separator": { + "label": "Znak separatora", + "description": "Karakter koristen za razdvajanje više vrijednosti navedenih u zaglavju proksi." + } + }, + "telemetry": { + "label": "Telemetrija", + "description": "Opcije sistem telemetrije i statistika uključujući praćenje širine pojasa mreže i GPU.", + "network_interfaces": { + "label": "Mrežni sučelja", + "description": "Popis prefiksa imena mrežnih sučelja za praćenje statistika širine pojasa." + }, + "stats": { + "label": "Sistem statistika", + "description": "Opcije za omogućavanje/onemogućavanje prikupljanja različitih sistem i GPU statistika.", + "amd_gpu_stats": { + "label": "AMD GPU statistika", + "description": "Omogući prikupljanje AMD GPU statistika ako je prisutan AMD GPU." + }, + "intel_gpu_stats": { + "label": "Intel GPU statistika", + "description": "Omogući prikupljanje Intel GPU statistika ako je prisutan Intel GPU." + }, + "network_bandwidth": { + "label": "Širina pojasa mreže", + "description": "Omogući praćenje širine pojasa mreže po procesu za procese kamere ffmpeg i detektore (zahtijeva mogućnosti)." + }, + "intel_gpu_device": { + "label": "Intel GPU uređaj", + "description": "PCI adresa magistrale ili DRM putanja uređaja (npr. /dev/dri/card1) koja se koristi za vezivanje Intel GPU statistika za određeni uređaj kada je prisutno više njih." + } + }, + "version_check": { + "label": "Provjera verzije", + "description": "Omogući ishodnu provjeru za otkrivanje ako je dostupnija verzija Frigate." + } + }, + "tls": { + "label": "TLS", + "description": "Postavke TLS za web krajnje točke Frigate (port 8971).", + "enabled": { + "label": "Omogući TLS", + "description": "Omogući TLS za web UI i API Frigate na konfiguriranom TLS portu." + } + }, + "ui": { + "label": "UI", + "description": "Postavke korisničkog sučelja poput vremenske zone, oblikovanja vremena/datuma i jedinica.", + "timezone": { + "label": "Vremenska zona", + "description": "Nepovlačena vremenska zona za prikaz kroz UI (podrazumijevano je lokalno vrijeme preglednika ako nije postavljeno)." + }, + "time_format": { + "label": "Oblik vremena", + "description": "Oblik vremena za korištenje u UI (browser, 12hour, ili 24hour)." + }, + "date_style": { + "label": "Oblik datuma", + "description": "Oblik datuma za korištenje u UI (full, long, medium, short)." + }, + "time_style": { + "label": "Oblik vremena", + "description": "Oblik vremena za korištenje u UI (full, long, medium, short)." + }, + "unit_system": { + "label": "Sustav jedinica", + "description": "Sustav jedinica za prikaz (metric ili imperial) korišten u UI i MQTT." + } + }, + "detectors": { + "label": "Hardver detektora", + "description": "Konfiguracija za detektore objekata (CPU, GPU, ONNX backends) i bilo koje postavke modela specifične za detektor.", + "type": { + "label": "Tip" + }, + "model": { + "label": "Konfiguracija modela specifične za detektor", + "description": "Opcije konfiguracije modela specifične za detektor (putanja, veličina ulaza, itd.).", + "path": { + "label": "Putanja za prilagođeni model detektora objekata", + "description": "Putanja do datoteke prilagođenog modela detekcije (ili plus:// za modele Frigate+)." + }, + "labelmap_path": { + "label": "Mapa oznaka za prilagođeni detektor objekata", + "description": "Putanja do datoteke mape oznaka koja mapira numeričke klase na string oznake za detektor." + }, + "width": { + "label": "Širina ulaznog tenzora modela detekcije objekata", + "description": "Širina ulaznog tenzora modela u pikselima." + }, + "height": { + "label": "Visina ulaznog tenzora modela detekcije objekata", + "description": "Visina ulaznog tenzora modela u pikselima." + }, + "labelmap": { + "label": "Prilagodba mape oznaka", + "description": "Preklop ili preslikavanje unosa za uključivanje u standardnu mapu oznaka." + }, + "attributes_map": { + "label": "Mapa oznaka objekata na njihove atribute", + "description": "Preslikavanje iz oznaka objekata na atribute oznaka koje se koriste za dodavanje metapodataka (npr. 'car' -> ['license_plate'])." + }, + "input_tensor": { + "label": "Oblik tenzora ulaza modela", + "description": "Format tenzora očekivan od strane modela: 'nhwc' ili 'nchw'." + }, + "input_pixel_format": { + "label": "Format boje piksela ulaza modela", + "description": "Boja piksela očekivana od strane modela: 'rgb', 'bgr' ili 'yuv'." + }, + "input_dtype": { + "label": "Tip D ulaza modela", + "description": "Tip podataka modela ulaznog tenzora (npr. 'float32')." + }, + "model_type": { + "label": "Tip modela detekcije objekata", + "description": "Tip arhitekture modela detektora (ssd, yolox, yolonas) korišten od strane nekih detektora za optimizaciju." + } + }, + "model_path": { + "label": "Putanja modela specifična za detektor", + "description": "Putanja datoteke do binarne datoteke modela detektora ako je potrebna odabranim detektorom." + }, + "axengine": { + "label": "AXEngine NPU", + "description": "Detektor AXERA AX650N/AX8850N NPU koji pokreće prevedene .axmodel datoteke putem AXEngine runtime-a." + }, + "cpu": { + "label": "CPU", + "description": "Detektor CPU TFLite koji pokreće modele TensorFlow Lite na domaćem CPU bez hardverske akceleracije. Nije preporučeno.", + "num_threads": { + "label": "Broj nitova detekcije", + "description": "Broj nitova korištenih za inferenciju na CPU." + } + }, + "deepstack": { + "label": "DeepStack", + "description": "Detektor DeepStack/CodeProject.AI koji šalje slike na udaljenu DeepStack HTTP API za inferenciju. Nije preporučeno.", + "api_url": { + "label": "URL API-ja DeepStack", + "description": "URL API-ja DeepStack." + }, + "api_timeout": { + "label": "Vrijeme čekanja API-ja DeepStack (u sekundama)", + "description": "Maksimalno dozvoljeno vrijeme za zahtjev API-ja DeepStack." + }, + "api_key": { + "label": "Ključ API-ja DeepStack (ako je potreban)", + "description": "Nepovlađeni ključ API-ja za autentificirane usluge DeepStack." + } + }, + "degirum": { + "label": "DeGirum", + "description": "Detektor DeGirum za pokretanje modela putem DeGirum oblaka ili lokalnih usluga inferencije.", + "location": { + "label": "Lokacija inferencije", + "description": "Lokacija DeGirim inferencije (npr. '@cloud', '127.0.0.1')." + }, + "zoo": { + "label": "Model Zoo", + "description": "Putanja ili URL do DeGirum model zoo." + }, + "token": { + "label": "Token za DeGirum Cloud", + "description": "Token za pristup DeGirum Cloud." + } + }, + "edgetpu": { + "label": "EdgeTPU", + "description": "Detektor EdgeTPU koji pokreće modele TensorFlow Lite kompilirane za Coral EdgeTPU pomoću EdgeTPU delegata.", + "device": { + "label": "Tip uređaja", + "description": "Uređaj za korištenje EdgeTPU inferencije (npr. 'usb', 'pci')." + } + }, + "hailo8l": { + "label": "Hailo-8/Hailo-8L", + "description": "Detektor Hailo-8/Hailo-8L koji koristi HEF modele i HailoRT SDK za inferenciju na Hailo uređaju.", + "device": { + "label": "Tip uređaja", + "description": "Uređaj za korištenje Hailo inferencije (npr. 'PCIe', 'M.2')." + } + }, + "memryx": { + "label": "MemryX", + "description": "Detektor MemryX MX3 koji pokreće kompilirane modele DFP na MemryX akceleratorima.", + "device": { + "label": "Putanja uređaja", + "description": "Uređaj za korištenje MemryX inferencije (npr. 'PCIe')." + } + }, + "onnx": { + "label": "ONNX", + "description": "Detektor ONNX za pokretanje ONNX modela; koristi dostupne akceleracijske backendove (CUDA/ROCm/OpenVINO) kada su dostupni.", + "device": { + "label": "Tip uređaja", + "description": "Uređaj za korištenje ONNX inferencije (npr. 'AUTO', 'CPU', 'GPU')." + } + }, + "openvino": { + "label": "OpenVINO", + "description": "Detektor OpenVINO za AMD i Intel CPU-e, Intel GPU-e i Intel VPU uređaje.", + "device": { + "label": "Tip uređaja", + "description": "Uređaj za korištenje za inferenciju OpenVINO (npr. 'CPU', 'GPU', 'NPU')." + } + }, + "rknn": { + "label": "RKNN", + "description": "Detektor RKNN za NPUs Rockchipa; izvršava preveđene modele RKNN na Rockchip uređaju.", + "num_cores": { + "label": "Broj jezgri NPU koje se koriste.", + "description": "Broj jezgri NPU koje se koriste (0 za automatsko)." + } + }, + "synaptics": { + "label": "Synaptics", + "description": "Detektor NPU Synaptics za modele u formatu .synap pomoću SDK-a Synap na uređaju Synaptics." + }, + "teflon_tfl": { + "label": "Teflon", + "description": "Detektor delegata Teflon za TFLite pomoću biblioteke Mesa Teflon delegata za ubrzanje inferencije na podržanim GPU-ima." + }, + "tensorrt": { + "label": "TensorRT", + "description": "Detektor TensorRT za uređaje Nvidia Jetson koji koristi serijalizirane TensorRT motore za ubrzanu inferenciju.", + "device": { + "label": "Indeks GPU uređaja", + "description": "Indeks GPU uređaja za korištenje." + } + }, + "zmq": { + "label": "ZMQ IPC", + "description": "Detektor ZMQ IPC koji prenosi inferenciju vanjskom procesu putem ZMQ IPC kraja.", + "endpoint": { + "label": "ZMQ IPC kraja", + "description": "Kraj ZMQ-a na koji se povezati." + }, + "request_timeout_ms": { + "label": "ZMQ zahtjev timeout u milisekundama", + "description": "Timeout za ZMQ zahtjeve u milisekundama." + }, + "linger_ms": { + "label": "ZMQ socket linger u milisekundama", + "description": "Period linger socketa u milisekundama." + } + } + }, + "model": { + "label": "Model detekcije", + "description": "Postavke za konfiguraciju prilagođenog modela detekcije objekata i njegove ulazne oblike.", + "path": { + "label": "Put do prilagođenog modela detekcije", + "description": "Put do datoteke prilagođenog modela detekcije (ili plus:// za modele Frigate+)." + }, + "labelmap_path": { + "label": "Mapa oznaka za prilagođeni detektor objekata", + "description": "Putanja do datoteke labelmap koja preslikava numeričke klase u string oznake za detektor." + }, + "width": { + "label": "Širina ulaznog tenzora modela detekcije objekata", + "description": "Širina ulaznog tenzora modela u pikselima." + }, + "height": { + "label": "Visina ulaznog tenzora modela detekcije objekata", + "description": "Visina ulaznog tenzora modela u pikselima." + }, + "labelmap": { + "label": "Prilagodba labelmap", + "description": "Preklop ili preslikavanje unosa za spajanje u standardnu labelmap." + }, + "attributes_map": { + "label": "Mapa oznaka objekata na njihove atribute oznake", + "description": "Preslikavanje iz oznaka objekata na atribute oznake koje se koriste za dodavanje metapodataka (npr. 'car' -> ['license_plate'])." + }, + "input_tensor": { + "label": "Oblik ulaznog tenzora modela", + "description": "Format tenzora očekivan od strane modela: 'nhwc' ili 'nchw'." + }, + "input_pixel_format": { + "label": "Format boje piksela ulaznog modela", + "description": "Boja prostor očekivan od strane modela: 'rgb', 'bgr' ili 'yuv'." + }, + "input_dtype": { + "label": "D tip ulaza modela", + "description": "Tip podataka ulaznog tenzora modela (npr. 'float32')." + }, + "model_type": { + "label": "Tip modela detekcije objekata", + "description": "Tip arhitekture modela detektora (ssd, yolox, yolonas) korišten od strane nekih detektora za optimizaciju." + } + }, + "genai": { + "label": "Konfiguracija generativne AI", + "description": "Postavke za integrirane generativne AI provajdere korišteni za generisanje opisa objekata i pregled sažetaka.", + "api_key": { + "label": "Ključ API", + "description": "Ključ API potreban nekim provajderima (takođe može biti postavljen putem okruženja)." + }, + "base_url": { + "label": "Osnovna URL", + "description": "Osnovna URL za samohostovane ili kompatibilne provajdere (npr. instanca Ollama)." + }, + "model": { + "label": "Model", + "description": "Model koji se koristi iz ponuđača za generisanje opisa ili sažetaka." + }, + "provider": { + "label": "Ponuđač", + "description": "GenAI ponuđač koji se koristi (npr. ollama, gemini, openai)." + }, + "roles": { + "label": "Uloge", + "description": "GenAI uloge (razgovor, opisi, ugradnje); jedan ponuđač po ulozi." + }, + "provider_options": { + "label": "Opcije ponuđača", + "description": "Dodatne opcije specifične za ponuđača koje se prosleđuju klijentu GenAI." + }, + "runtime_options": { + "label": "Opcije izvršavanja", + "description": "Opcije izvršavanja koje se prosleđuju ponuđaču za svaku poziv izvođenja." + } + }, + "classification": { + "label": "Klasifikacija objekata", + "description": "Postavke modela klasifikacije koji se koriste za poboljšanje oznaka objekata ili klasifikaciju stanja.", + "bird": { + "label": "Konfiguracija klasifikacije ptica", + "description": "Postavke specifične za modele klasifikacije ptica.", + "enabled": { + "label": "Klasifikacija ptica", + "description": "Omogući ili onemogući klasifikaciju ptica." + }, + "threshold": { + "label": "Minimalna ocjena", + "description": "Minimalna ocjena klasifikacije potrebna za prihvaćanje klasifikacije ptica." + } + }, + "custom": { + "label": "Prilagođeni modeli klasifikacije", + "description": "Konfiguracija prilagođenih modela klasifikacije korištenih za objekte ili detekciju stanja.", + "enabled": { + "label": "Omogući model", + "description": "Omogući ili onemogući prilagođeni model klasifikacije." + }, + "name": { + "label": "Ime modela", + "description": "Identifikator za prilagođeni model klasifikacije koji se koristi." + }, + "threshold": { + "label": "Prag ocjene", + "description": "Prag ocjene korišten za promjenu stanja klasifikacije." + }, + "save_attempts": { + "label": "Snimi pokušaje", + "description": "Koliko pokušaja klasifikacije sačuvati za korisnički sučelje nedavnih klasifikacija." + }, + "object_config": { + "objects": { + "label": "Klasificiraj objekte", + "description": "Popis vrsta objekata za koje se izvršava klasifikacija objekata." + }, + "classification_type": { + "label": "Vrsta klasifikacije", + "description": "Vrsta klasifikacije primijenjena: 'sub_label' (dodaje sub_label) ili druge podržane vrste." + } + }, + "state_config": { + "cameras": { + "label": "Kamere za klasifikaciju", + "description": "Postavke za rezanje i podešavanja po kameri za izvršavanje klasifikacije stanja.", + "crop": { + "label": "Rezanje za klasifikaciju", + "description": "Koordinate rezanja koje se koriste za izvršavanje klasifikacije na ovoj kameri." + } + }, + "motion": { + "label": "Pokreni na pokret", + "description": "Ako je tačno, pokrenite klasifikaciju kada se detektuje pokret unutar navedenog krova." + }, + "interval": { + "label": "Interval klasifikacije", + "description": "Interval (sekunde) između periodičnih pokretanja klasifikacije za klasifikaciju stanja." + } + } + } + }, + "camera_groups": { + "label": "Grupe kamera", + "description": "Konfiguracija imenovanih grupa kamera koje se koriste za organizaciju kamera u UI-u.", + "cameras": { + "label": "Popis kamera", + "description": "Niz imena kamera uključenih u ovu grupu." + }, + "icon": { + "label": "Ikona grupe", + "description": "Ikona korištena za prikaz grupe kamera u UI-u." + }, + "order": { + "label": "Redoslijed sortiranja", + "description": "Numerički redoslijed korišten za sortiranje grupa kamera u UI-u; veći brojevi se pojavljuju kasnije." + } + }, + "active_profile": { + "label": "Aktivni profil", + "description": "Trenutno aktivno ime profila. Samo za runtime, ne čuva se u YAML-u." + }, + "camera_mqtt": { + "label": "MQTT", + "description": "Postavke objave slika preko MQTT.", + "enabled": { + "label": "Pošalji sliku", + "description": "Omogući objavljivanje snimaka slika za objekte na MQTT teme za ovu kameru." + }, + "timestamp": { + "label": "Dodaj vremensku oznaku", + "description": "Preklopiti vremensku oznaku na slike objavljene preko MQTT." + }, + "bounding_box": { + "label": "Dodaj okvir", + "description": "Crtaj okvire na slikama objavljenim preko MQTT." + }, + "crop": { + "label": "Iscijepi sliku", + "description": "Iscijepi slike objavljene preko MQTT na okvir detektiranog objekta." + }, + "height": { + "label": "Visina slike", + "description": "Visina (piksela) za promjenu veličine slika objavljenih preko MQTT." + }, + "required_zones": { + "label": "Potrebne zone", + "description": "Zone koje objekt mora ući da bi se slika preko MQTT objavila." + }, + "quality": { + "label": "Kvaliteta JPEG", + "description": "Kvaliteta JPEG za slike objavljene preko MQTT (0-100)." + } + }, + "camera_ui": { + "label": "Kamera UI", + "description": "Prikaz redoslijeda i vidljivosti za ovu kameru u UI. Redoslijed utječe na zadani nadzorno pločo. Za detaljniju kontrolu koristite grupe kamere.", + "order": { + "label": "Redoslijed UI", + "description": "Numerički redoslijed koristi se za sortiranje kamere u UI (zadani nadzorno pločo i popisi); veći brojevi pojavljuju se kasnije." + }, + "dashboard": { + "label": "Prikaži u UI", + "description": "Prekidač je li ova kamera vidljiva svuda u UI Frigate. Onemogućavanje ovoga zahtijeva ručno uređivanje konfiguracije za ponovno prikazivanje ove kamere u UI." + } + } +} diff --git a/web/public/locales/bs/config/groups.json b/web/public/locales/bs/config/groups.json new file mode 100644 index 0000000000..44f91e7731 --- /dev/null +++ b/web/public/locales/bs/config/groups.json @@ -0,0 +1,73 @@ +{ + "audio": { + "global": { + "detection": "Globalna detekcija", + "sensitivity": "Globalna osjetljivost" + }, + "cameras": { + "detection": "Detekcija", + "sensitivity": "Osjetljivost" + } + }, + "timestamp_style": { + "global": { + "appearance": "Globalno izgled" + }, + "cameras": { + "appearance": "Izgled" + } + }, + "motion": { + "global": { + "sensitivity": "Globalna osjetljivost", + "algorithm": "Globalni algoritam" + }, + "cameras": { + "sensitivity": "Osjetljivost", + "algorithm": "Algoritam" + } + }, + "snapshots": { + "global": { + "display": "Globalno prikazivanje" + }, + "cameras": { + "display": "Prikazivanje" + } + }, + "detect": { + "global": { + "resolution": "Globalna rezolucija", + "tracking": "Globalno praćenje" + }, + "cameras": { + "resolution": "Rezolucija", + "tracking": "Praćenje" + } + }, + "objects": { + "global": { + "tracking": "Globalno praćenje", + "filtering": "Globalno filtriranje" + }, + "cameras": { + "tracking": "Praćenje", + "filtering": "Filtriranje" + } + }, + "record": { + "global": { + "retention": "Globalno zadržavanje", + "events": "Globalni događaji" + }, + "cameras": { + "retention": "Zadržavanje", + "events": "Događaji" + } + }, + "ffmpeg": { + "cameras": { + "cameraFfmpeg": "Argumeni FFmpeg specifični za kameru" + } + } +} diff --git a/web/public/locales/bs/config/validation.json b/web/public/locales/bs/config/validation.json new file mode 100644 index 0000000000..1ed1dd7a5a --- /dev/null +++ b/web/public/locales/bs/config/validation.json @@ -0,0 +1,32 @@ +{ + "minimum": "Bar {{limit}}", + "maximum": "Mora biti najviše {{limit}}", + "exclusiveMinimum": "Mora biti veći od {{limit}}", + "exclusiveMaximum": "Mora biti manje od {{limit}}", + "minLength": "Bar {{limit}} znak(ovi)", + "maxLength": "Mora biti najviše {{limit}} znak(ovi)", + "minItems": "Mora imati bar {{limit}} stavke", + "maxItems": "Mora imati najviše {{limit}} stavke", + "pattern": "Neispravan format", + "required": "Ovo polje je obavezno", + "type": "Neispravan tip vrijednosti", + "enum": "Mora biti jedan od dopuštenih vrijednosti", + "const": "Vrijednost se ne podudara s očekivanom konstantom", + "uniqueItems": "Sve stavke moraju biti jedinstvene", + "format": "Neispravan format", + "additionalProperties": "Nepoznato svojstvo nije dozvoljeno", + "oneOf": "Mora se podudarati s točno jednim od dopuštenih shema", + "anyOf": "Mora se podudarati s bar jednim od dopuštenih shema", + "proxy": { + "header_map": { + "roleHeaderRequired": "Zaglavlje uloge je obavezno kada su konfigurirane mapiranja uloga." + } + }, + "ffmpeg": { + "inputs": { + "rolesUnique": "Svaka uloga može biti dodijeljena samo jednom ulaznom toku.", + "detectRequired": "Bar jedan ulazni tok mora biti dodijeljen ulozi 'detektirati'.", + "hwaccelDetectOnly": "Samo ulazni tok s ulogom detektiranja može definirati argumente ubrzavanja hardvera." + } + } +} diff --git a/web/public/locales/bs/objects.json b/web/public/locales/bs/objects.json new file mode 100644 index 0000000000..cbeaacdb4e --- /dev/null +++ b/web/public/locales/bs/objects.json @@ -0,0 +1,125 @@ +{ + "person": "Ljudsko bit će", + "bicycle": "Kolo", + "animal": "Životinja", + "dog": "Pas", + "bark": "Glavu", + "cat": "Mačka", + "horse": "Konj", + "goat": "Koza", + "sheep": "Ovca", + "bird": "Ptica", + "mouse": "Miš", + "keyboard": "Klaviatura", + "vehicle": "Vozilo", + "boat": "Brod", + "car": "Automobil", + "bus": "Autobus", + "motorcycle": "Motocikl", + "train": "Vlak", + "skateboard": "Skejtbord", + "door": "Vrata", + "blender": "Miksere", + "sink": "Lavabo", + "hair_dryer": "Sušilac za kosu", + "toothbrush": "Šetka za zube", + "scissors": "Škare", + "clock": "Sat", + "airplane": "Avion", + "traffic_light": "Svetofor", + "fire_hydrant": "Vatrostaničar", + "street_sign": "Ulični znak", + "stop_sign": "Znak zaustavljanja", + "parking_meter": "Parkirni metar", + "bench": "Banko", + "cow": "Korova", + "elephant": "Slon", + "bear": "Medvjed", + "zebra": "Zebra", + "giraffe": "Žirafa", + "hat": "Kaputa", + "backpack": "Torba", + "umbrella": "Kreveta", + "shoe": "Cizma", + "eye_glasses": "Očna stakla", + "handbag": "Ručna torba", + "tie": "Kremplj", + "suitcase": "Kufer", + "frisbee": "Frizbi", + "skis": "Ski", + "snowboard": "Snjegobord", + "sports_ball": "Sportska lopta", + "kite": "Let", + "baseball_bat": "Batsa za baseball", + "baseball_glove": "Rukavica za baseball", + "surfboard": "Surfbord", + "tennis_racket": "Teniski raketa", + "bottle": "Bocica", + "plate": "Ploča", + "wine_glass": "Vinsko čaša", + "cup": "Kupa", + "fork": "Škarpe", + "knife": "Nož", + "spoon": "Lajna", + "bowl": "Tanjir", + "banana": "Banana", + "apple": "Jabuka", + "sandwich": "Sandučić", + "orange": "Portakal", + "broccoli": "Brobkoli", + "carrot": "Mahunika", + "hot_dog": "Hot dog", + "pizza": "Pica", + "donut": "Krofna", + "cake": "Torta", + "chair": "Stolica", + "couch": "Divan", + "potted_plant": "Ukrasna biljka", + "bed": "Krevet", + "mirror": "Zrcalo", + "dining_table": "Stol za ručak", + "window": "Prozor", + "desk": "Radni stol", + "toilet": "Toalet", + "tv": "TV", + "laptop": "Laptop", + "remote": "Udaljeno upravljanje", + "cell_phone": "Mobilni telefon", + "microwave": "Mikrotalasna pećnica", + "oven": "Pećnica", + "toaster": "Tostera", + "refrigerator": "Hladnjak", + "book": "Knjiga", + "vase": "Vaza", + "teddy_bear": "Biberon", + "hair_brush": "Kosmetička četka", + "squirrel": "Šumski pas", + "deer": "Jelen", + "fox": "Lisica", + "rabbit": "Zajac", + "raccoon": "Rakun", + "robot_lawnmower": "Robotska kosilica", + "waste_bin": "Kanta za otpad", + "on_demand": "Na zahtjev", + "face": "Lice", + "license_plate": "Tablica", + "package": "Paket", + "bbq_grill": "Grill za BBQ", + "amazon": "Amazon", + "usps": "USPS", + "ups": "UPS", + "fedex": "FedEx", + "dhl": "DHL", + "an_post": "An Post", + "purolator": "Purolator", + "postnl": "PostNL", + "nzpost": "NZPost", + "postnord": "PostNord", + "gls": "GLS", + "dpd": "DPD", + "canada_post": "Canada Post", + "royal_mail": "Royal Mail", + "school_bus": "Školski autobus", + "skunk": "Mrdka", + "kangaroo": "Kanguru" +} diff --git a/web/public/locales/bs/views/chat.json b/web/public/locales/bs/views/chat.json new file mode 100644 index 0000000000..643825a780 --- /dev/null +++ b/web/public/locales/bs/views/chat.json @@ -0,0 +1,46 @@ +{ + "documentTitle": "Razgovor - Frigate", + "title": "Frigate razgovor", + "subtitle": "Vaš AI asistent za upravljanje kamerama i insighti", + "placeholder": "Pitajte bilo što...", + "error": "Nešto je pošlo po zlu. Molimo pokušajte ponovo.", + "processing": "Obrađivanje...", + "toolsUsed": "Korišteno: {{tools}}", + "showTools": "Prikaži alate ({{count}})", + "hideTools": "Sakrij alate", + "call": "Poziv", + "result": "Rezultat", + "arguments": "Argumenti:", + "response": "Odgovor:", + "attachment_chip_label": "{{label}} na {{camera}}", + "attachment_chip_remove": "Ukloni privitak", + "open_in_explore": "Otvori u Explore", + "attach_event_aria": "Prikači događaj {{eventId}}", + "attachment_picker_paste_label": "Ili zalijepite ID događaja", + "attachment_picker_attach": "Prikači", + "attachment_picker_placeholder": "Prikači događaj", + "quick_reply_find_similar": "Pronađi slične susreti", + "quick_reply_tell_me_more": "Recite mi više o ovome", + "quick_reply_when_else": "Kada je još puta vidjeno?", + "quick_reply_find_similar_text": "Pronađi slične susreti za ovaj.", + "quick_reply_tell_me_more_text": "Recite mi više o ovom.", + "quick_reply_when_else_text": "Kada je to još puta vidjeno?", + "anchor": "Referenca", + "similarity_score": "Sličnost", + "no_similar_objects_found": "Nisu pronađeni slični objekti.", + "semantic_search_required": "Semantička pretraga mora biti omogućena da bi se pronašli slični objekti.", + "send": "Pošalji", + "suggested_requests": "Pokušaj pitati:", + "starting_requests": { + "show_recent_events": "Prikaži nedavne događaje", + "show_camera_status": "Prikaži status kamere", + "recap": "Što se desilo dok sam bio odsutan?", + "watch_camera": "Pratite kameru za aktivnost" + }, + "starting_requests_prompts": { + "show_recent_events": "Prikaži mi nedavne događaje iz posljednjeg sata", + "show_camera_status": "Koji je trenutni status mojih kamera?", + "recap": "Što se desilo dok sam bio odsutan?", + "watch_camera": "Pratite ulazna vrata i obavijestite me ako netko dođe" + } +} diff --git a/web/public/locales/bs/views/classificationModel.json b/web/public/locales/bs/views/classificationModel.json new file mode 100644 index 0000000000..aa18d5a07f --- /dev/null +++ b/web/public/locales/bs/views/classificationModel.json @@ -0,0 +1,205 @@ +{ + "documentTitle": "Modeli klasifikacije - Frigate", + "details": { + "scoreInfo": "Ocjena predstavlja prosjek pouzdanosti klasifikacije kroz sve detekcije ovog objekta.", + "none": "Nijedan", + "unknown": "Nepoznato" + }, + "button": { + "deleteClassificationAttempts": "Obriši slike klasifikacije", + "renameCategory": "Preimenuj klasu", + "deleteCategory": "Obriši klasu", + "deleteImages": "Obriši slike", + "trainModel": "Obuci model", + "addClassification": "Dodaj klasifikaciju", + "deleteModels": "Obriši modele", + "editModel": "Uredi model" + }, + "tooltip": { + "trainingInProgress": "Model trenutno obučava", + "noNewImages": "Nema novih slika za obuku. Prvo klasificirajte više slika u skupu podataka.", + "noChanges": "Nema promjena u skupu podataka od posljednje obuke.", + "modelNotReady": "Model nije spreman za obuku" + }, + "toast": { + "success": { + "deletedModel_one": "Uspješno obrisan {{count}} model", + "deletedModel_few": "Uspješno obrisani {{count}} modeli", + "deletedModel_other": "Uspješno obrisani {{count}} modeli", + "categorizedImage": "Uspješno klasificirana slika", + "reclassifiedImage": "Uspješno ponovno klasificirana slika", + "trainedModel": "Uspješno obučen model.", + "trainingModel": "Uspješno pokrenuta obuka modela.", + "updatedModel": "Uspješno ažurirana konfiguracija modela", + "renamedCategory": "Uspješno preimenovana klasa u {{name}}", + "deletedCategory_one": "Obrisana {{count}} klasa", + "deletedCategory_few": "Obrisane {{count}} klase", + "deletedCategory_other": "Obrisane {{count}} klase", + "deletedImage_one": "Izbrisana {{count}} slika", + "deletedImage_few": "Izbrisane {{count}} slike", + "deletedImage_other": "Izbrisane {{count}} slike" + }, + "error": { + "deleteImageFailed": "Neuspješno brisanje: {{errorMessage}}", + "deleteCategoryFailed": "Neuspješno brisanje klase: {{errorMessage}}", + "deleteModelFailed": "Neuspješno brisanje modela: {{errorMessage}}", + "categorizeFailed": "Neuspješno kategoriziranje slike: {{errorMessage}}", + "trainingFailed": "Obuka modela nije uspješna. Provjerite zapise Frigate za detalje.", + "trainingFailedToStart": "Neuspješno pokretanje obuke modela: {{errorMessage}}", + "updateModelFailed": "Neuspješno ažuriranje modela: {{errorMessage}}", + "renameCategoryFailed": "Neuspješno preimenovanje klase: {{errorMessage}}", + "reclassifyFailed": "Neuspješno ponovno klasifikovanje slike: {{errorMessage}}" + } + }, + "deleteCategory": { + "title": "Izbriši klasu", + "desc": "Sigurni li ste da želite izbrisati klasu {{name}}? Ovo će trajno izbrisati sve povezane slike i zahtijevati ponovnu obuku modela.", + "minClassesTitle": "Nemoguće izbrisati klasu", + "minClassesDesc": "Model klasifikacije mora imati najmanje 2 klase. Dodajte još jednu klasu prije brisanja ove." + }, + "deleteModel": { + "title": "Izbriši model klasifikacije", + "single": "Sigurni li ste da želite izbrisati {{name}}? Ovo će trajno izbrisati sve povezane podatke uključujući slike i podatke o obuci. Ova akcija ne može biti poništena.", + "desc_one": "Sigurni li ste da želite izbrisati {{count}} model? Ovo će trajno izbrisati sve povezane podatke uključujući slike i podatke o obuci. Ova akcija ne može biti poništena.", + "desc_few": "Sigurni li ste da želite izbrisati {{count}} modele? Ovo će trajno izbrisati sve povezane podatke uključujući slike i podatke o obuci. Ova akcija ne može biti poništena.", + "desc_other": "Sigurni li ste da želite izbrisati {{count}} modele? Ovo će trajno izbrisati sve povezane podatke uključujući slike i podatke o obuci. Ova akcija ne može biti poništena." + }, + "edit": { + "title": "Uredi model klasifikacije", + "descriptionState": "Uredi klase za ovaj model klasifikacije stanja. Promjene će zahtijevati ponovnu obuku modela.", + "descriptionObject": "Uredi vrstu objekta i vrstu klasifikacije za ovaj model klasifikacije objekta.", + "stateClassesInfo": "Napomena: Promjene klasa stanja zahtijevaju ponovnu obuku modela sa ažuriranim klasama." + }, + "deleteDatasetImages": { + "title": "Izbriši slike skupa podataka", + "desc_one": "Sigurni li ste da želite izbrisati {{count}} sliku iz {{dataset}}? Ova akcija ne može biti poništena i zahtijevati će ponovnu obuku modela.", + "desc_few": "Sigurni li ste da želite obrisati {{count}} slike iz {{dataset}}? Ova akcija ne može se poništiti i zahtijevat će ponovno treniranje modela.", + "desc_other": "Sigurni li ste da želite obrisati {{count}} slike iz {{dataset}}? Ova akcija ne može se poništiti i zahtijevat će ponovno treniranje modela." + }, + "deleteTrainImages": { + "title": "Obriši slike za treniranje", + "desc_one": "Sigurni li ste da želite obrisati {{count}} sliku? Ova akcija ne može se poništiti.", + "desc_few": "Sigurni li ste da želite obrisati {{count}} slike? Ova akcija ne može se poništiti.", + "desc_other": "Sigurni li ste da želite obrisati {{count}} slike? Ova akcija ne može se poništiti." + }, + "renameCategory": { + "title": "Preimenuj klasu", + "desc": "Unesite novo ime za {{name}}. Za promjenu imena će vam se zahtijevati ponovno treniranje modela." + }, + "description": { + "invalidName": "Neprihvatljivo ime. Imena mogu sadržavati samo slova, brojeve, razmake, aposrofe, donje crte i crte." + }, + "train": { + "title": "Nedavne klasifikacije", + "titleShort": "Nedavno", + "aria": "Odaberite nedavne klasifikacije" + }, + "categories": "Klase", + "createCategory": { + "new": "Stvori novu klasu" + }, + "categorizeImageAs": "Klasificiraj sliku kao:", + "categorizeImage": "Klasificiraj sliku", + "reclassifyImageAs": "Ponovno klasificiraj sliku kao:", + "reclassifyImage": "Ponovno klasificiraj sliku", + "menu": { + "objects": "Objekti", + "states": "Stanja" + }, + "noModels": { + "object": { + "title": "Nema modela za klasifikaciju objekata", + "description": "Stvorite prilagođeni model za klasifikaciju detektiranih objekata.", + "buttonText": "Stvori model objekta" + }, + "state": { + "title": "Nema modela za klasifikaciju stanja", + "description": "Stvorite prilagođeni model za praćenje i klasifikaciju promjena stanja u određenim područjima kamere.", + "buttonText": "Stvori model stanja" + } + }, + "wizard": { + "title": "Stvori novu klasifikaciju", + "steps": { + "nameAndDefine": "Ime i definicija", + "stateArea": "Područje stanja", + "chooseExamples": "Odaberite primjere" + }, + "step1": { + "description": "Modeli stanja nadziraju fiksne područja kamere za promjene (npr. vrata otvorena/zatvorena). Modeli objekata dodaju klasifikacije detektiranim objektima (npr. poznati životinje, dostavljači, itd.).", + "name": "Ime", + "namePlaceholder": "Unesite ime modela...", + "type": "Tip", + "typeState": "Stanje", + "typeObject": "Objekt", + "objectLabel": "Oznaka objekta", + "objectLabelPlaceholder": "Odaberite vrstu objekta...", + "classificationType": "Vrsta klasifikacije", + "classificationTypeTip": "Učite više o vrstama klasifikacije", + "classificationTypeDesc": "Podoznake dodaju dodatni tekst oznaci objekta (npr. 'Ljudsko bit će: UPS'). Atributi su pretraživi metapodaci pohranjeni zasebno u metapodacima objekta.", + "classificationSubLabel": "Podoznaka", + "classificationAttribute": "Atribut", + "classes": "Klase", + "states": "Stanja", + "classesTip": "Učite više o klasama", + "classesStateDesc": "Definirajte različita stanja koja može imati područje kamere. Na primjer: 'otvoreno' i 'zatvoreno' za vrata garaže.", + "classesObjectDesc": "Definirajte različite kategorije u koje ćete klasificirati detektirane objekte. Na primjer: 'dostavljac', 'stanovnik', 'stranac' za klasifikaciju ljudi.", + "classPlaceholder": "Unesite ime klase...", + "errors": { + "nameRequired": "Ime modela je obavezno", + "nameLength": "Ime modela mora imati 64 znaka ili manje", + "nameOnlyNumbers": "Ime modela ne može sadržavati samo brojeve", + "classRequired": "Potrebna je bar jedna klasa", + "classesUnique": "Imena klasa moraju biti jedinstvena", + "noneNotAllowed": "Klasa 'none' nije dozvoljena", + "stateRequiresTwoClasses": "Modeli stanja zahtijevaju bar dvije klase", + "objectLabelRequired": "Molimo odaberite oznaku objekta", + "objectTypeRequired": "Molimo odaberite vrstu klasifikacije" + } + }, + "step2": { + "description": "Odaberite kamere i definirajte područje koje ćete nadzirati za svaku kameru. Model će klasificirati stanje ovih područja.", + "cameras": "Kamere", + "selectCamera": "Odaberite Kameru", + "noCameras": "Kliknite + za dodavanje kamera", + "selectCameraPrompt": "Odaberite kameru iz popisa da biste definirali njezino područje nadzora" + }, + "step3": { + "selectImagesPrompt": "Odaberite sve slike s: {{className}}", + "selectImagesDescription": "Kliknite na slike da biste ih odabrali. Kliknite Nadalje kada završite s ovom klasifikacijom.", + "allImagesRequired_one": "Molimo klasificirajte sve slike. Preostala je {{count}} slika.", + "allImagesRequired_few": "Molimo klasificirajte sve slike. Preostale su {{count}} slike.", + "allImagesRequired_other": "Molimo klasificirajte sve slike. Preostale su {{count}} slike.", + "generating": { + "title": "Generisanje uzoraka slika", + "description": "Frigate učitava reprezentativne slike iz vaših snimaka. Ovo može trajati trenutak..." + }, + "training": { + "title": "Obučavanje modela", + "description": "Vaš model se trenutno obučava u pozadini. Zatvorite ovaj dijalog, a vaš model će započeti raditi odmah kada se obuka završi." + }, + "retryGenerate": "Ponovno generisanje", + "noImages": "Nema generisanih uzoraka slika", + "classifying": "Klasifikacija i obuka...", + "trainingStarted": "Obuka je uspješno pokrenuta", + "modelCreated": "Model je uspješno stvoren. Koristite pogled Najnovije klasifikacije da dodate slike za nedostajuće stanja, a zatim obučite model.", + "errors": { + "noCameras": "Nema konfigurisanih kamera", + "noObjectLabel": "Nije odabrana oznaka objekta", + "generateFailed": "Neuspješno generisanje primera: {{error}}", + "generationFailed": "Generisanje nije uspješno. Molimo pokušajte ponovo.", + "classifyFailed": "Neuspješna klasifikacija slika: {{error}}" + }, + "generateSuccess": "Uspješno generisane uzorak slike", + "refreshExamples": "Generiši nove primjere", + "refreshConfirm": { + "title": "Generiši nove primjere?", + "description": "Ovo će generisati novi skup slika i obrisati sve odabire, uključujući prethodne klase. Trebat će vam ponovno odabrati primjere za sve klase." + }, + "missingStatesWarning": { + "title": "Primjeri nedostajućih klasa", + "description": "Nisu sve klase imale primjere. Pokušajte generisanje novih primjera da biste pronašli nedostajuću klasu, ili nastavite i koristite pogled Najnovije klasifikacije da biste kasnije dodali slike." + } + } + } +} diff --git a/web/public/locales/bs/views/configEditor.json b/web/public/locales/bs/views/configEditor.json new file mode 100644 index 0000000000..7ce01001ff --- /dev/null +++ b/web/public/locales/bs/views/configEditor.json @@ -0,0 +1,18 @@ +{ + "documentTitle": "Uređivač konfiguracije - Frigate", + "configEditor": "Uređivač konfiguracije", + "safeConfigEditor": "Uređivač konfiguracije (Sigurnosni režim)", + "safeModeDescription": "Frigate je u sigurnosnom režimu zbog greške u validaciji konfiguracije.", + "copyConfig": "Kopiraj konfiguraciju", + "saveAndRestart": "Sačuvaj i ponovo pokreni", + "saveOnly": "Sačuvaj samo", + "confirm": "Napusti bez čuvanja?", + "toast": { + "success": { + "copyToClipboard": "Konfiguracija kopirana u međuspremnik." + }, + "error": { + "savingError": "Greška prilikom čuvanja konfiguracije" + } + } +} diff --git a/web/public/locales/bs/views/events.json b/web/public/locales/bs/views/events.json new file mode 100644 index 0000000000..19869a820c --- /dev/null +++ b/web/public/locales/bs/views/events.json @@ -0,0 +1,92 @@ +{ + "alerts": "Upozorenja", + "detections": "Detekcije", + "camera": "Kamera", + "motion": { + "label": "Kretanje", + "only": "Samo pokret" + }, + "allCameras": "Sve Kamere", + "empty": { + "alert": "Nema upozorenja za pregled", + "detection": "Nema detekcija za pregled", + "motion": "Nema podataka o pokretu", + "recordingsDisabled": { + "title": "Snimci moraju biti omogućeni", + "description": "Pregledni stavci mogu se stvarati samo za kameru kada su snimci omogućeni za tu kameru." + } + }, + "timeline": { + "label": "vremenska linija", + "aria": "Odaberite vremensku liniju" + }, + "zoomIn": "Uvećajte", + "zoomOut": "Umanjite", + "events": { + "label": "Događaji", + "aria": "Odaberite događaje", + "noFoundForTimePeriod": "Nema događaja za ovaj vremenski period." + }, + "detail": { + "label": "Detalj", + "noDataFound": "Nema detaljnih podataka za pregled", + "aria": "Prekidač pregleda detalja", + "trackedObject_one": "{{count}} objekt", + "trackedObject_other": "{{count}} objekta", + "noObjectDetailData": "Nema dostupnih detaljnih podataka o objektu.", + "settings": "Postavke pregleda detalja", + "alwaysExpandActive": { + "title": "Uvijek proširujte aktivno", + "desc": "Uvijek proširite detalje objekta aktivnog stavka pregleda kada su dostupni." + } + }, + "objectTrack": { + "trackedPoint": "Praćeni točka", + "clickToSeek": "Kliknite da biste prešli na ovo vrijeme" + }, + "documentTitle": "Pregled - Frigate", + "recordings": { + "documentTitle": "Snimci - Frigate", + "invalidSharedLink": "Nemoguće otvoriti vezu za snimak sa vremenskom oznakom zbog greške u parsiranju.", + "invalidSharedCamera": "Nemoguće otvoriti vezu za snimak sa vremenskom oznakom zbog nepoznate ili neovlašćene kamere." + }, + "calendarFilter": { + "last24Hours": "Poslednje 24 sata" + }, + "markAsReviewed": "Označi kao pregledano", + "markTheseItemsAsReviewed": "Označi ove stavke kao pregledane", + "newReviewItems": { + "label": "Pregledaj nove stavke za pregled", + "button": "Nove stavke za pregled" + }, + "selected_one": "{{count}} odabrano", + "selected_other": "{{count}} odabrano", + "select_all": "Sve", + "detected": "detektovano", + "normalActivity": "Normal", + "needsReview": "Treba pregledati", + "securityConcern": "Sigurnosna zabrinutost", + "motionSearch": { + "menuItem": "Pretraga kretanja", + "openMenu": "Opcije kamere" + }, + "motionPreviews": { + "menuItem": "Pregledaj preglednike kretanja", + "title": "Preglednici kretanja: {{camera}}", + "mobileSettingsTitle": "Postavke preglednika kretanja", + "mobileSettingsDesc": "Prilagodite brzinu reprodukcije i osvetljavanje, i odaberite datum za pregled snimaka samo sa kretanjem.", + "dim": "Osvetljavanje", + "dimAria": "Prilagodite intenzitet osvetljavanja", + "dimDesc": "Povećajte osvetljavanje da biste povećali vidljivost područja kretanja.", + "speed": "Brzina", + "speedAria": "Odaberite brzinu reprodukcije preglednika", + "speedDesc": "Odaberite koliko brzo će se pregledni snimci reproducirati.", + "back": "Nazad", + "empty": "Nema pregleda dostupnih", + "noPreview": "Pregled nije dostupan", + "seekAria": "Pretражuj {{camera}} igraču do {{time}}", + "filter": "Filtar", + "filterDesc": "Odaberite područja da biste prikazali samo klipove sa kretanjem u tim područjima.", + "filterClear": "Očisti" + } +} diff --git a/web/public/locales/bs/views/explore.json b/web/public/locales/bs/views/explore.json new file mode 100644 index 0000000000..8049fd879f --- /dev/null +++ b/web/public/locales/bs/views/explore.json @@ -0,0 +1,267 @@ +{ + "documentTitle": "Istraživanje - Frigate", + "generativeAI": "Generativna AI", + "exploreMore": "Istražite više {{label}} objekata", + "exploreIsUnavailable": { + "title": "Istraživanje nije dostupno", + "embeddingsReindexing": { + "context": "Istraživanje može se koristiti nakon što se reindeksiranje ugrađenih objekata završi.", + "startingUp": "Pokretanje…", + "estimatedTime": "Procijenjeno preostalo vrijeme:", + "finishingShortly": "Završetak uskoro", + "step": { + "thumbnailsEmbedded": "Ugrađene miniaturne slike: ", + "descriptionsEmbedded": "Ugrađene opise: ", + "trackedObjectsProcessed": "Obrađeni praćeni objekti: " + } + }, + "downloadingModels": { + "context": "Frigate preuzima potrebne modele ugrađenih objekata kako bi podržao funkciju Semantičke pretrage. Ovo može trajati nekoliko minuta ovisno o brzini vaše mreže.", + "setup": { + "visionModel": "Model vida", + "visionModelFeatureExtractor": "Izvođač značajki modela vida", + "textModel": "Model teksta", + "textTokenizer": "Tokenizator teksta" + }, + "tips": { + "context": "Moguće je da želite ponovno indeksirati ugrađene objekte koji se prate nakon što se modele preuzmu." + }, + "error": "Dogodila se greška. Provjerite zapise Frigate." + } + }, + "trackedObjectDetails": "Detalji praćenih objekata", + "type": { + "details": "Detalji", + "snapshot": "Snimak", + "thumbnail": "miniaturna slika", + "video": "Video", + "tracking_details": "detalji praćenja" + }, + "trackingDetails": { + "title": "Detalji praćenja", + "noImageFound": "Nije pronađena slika za ovaj vremenski moment.", + "createObjectMask": "Kreirajte masku objekta", + "adjustAnnotationSettings": "Prilagodite postavke oznaka", + "scrollViewTips": "Kliknite da biste vidjeli važne trenutke životnog ciklusa ovog objekta.", + "autoTrackingTips": "Pozicije okvirnih kutija neće biti tačne za autotracking kamere.", + "count": "{{first}} od {{second}}", + "trackedPoint": "Praćena tačka", + "lifecycleItemDesc": { + "visible": "{{label}} detektovan", + "entered_zone": "{{label}} ušao u {{zones}}", + "active": "{{label}} postao aktivno", + "stationary": "{{label}} postao stacionarno", + "attribute": { + "faceOrLicense_plate": "{{attribute}} detektovan za {{label}}", + "other": "{{label}} prepoznat kao {{attribute}}" + }, + "gone": "{{label}} otišao", + "heard": "{{label}} čujeo", + "external": "{{label}} detektovan", + "header": { + "zones": "Zone", + "ratio": "Omjer", + "area": "Površina", + "score": "Rezultat", + "computedScore": "Izračunata ocjena", + "topScore": "Najbolja ocjena", + "toggleAdvancedScores": "Prekidač naprednih ocjena" + } + }, + "annotationSettings": { + "title": "Postavke oznaka", + "showAllZones": { + "title": "Prikaži sve zone", + "desc": "Uvijek prikazujte zone na okvirima gdje su objekti ušli u zonu." + }, + "offset": { + "label": "Pomak oznaka", + "desc": "Ova podatka dolaze iz vaše kamere detektovane snimke, ali se preklapaju na slikama iz snimke snimke. Vjerojatno nije moguće da su dva toka savršeno sinhronizirana. Kao rezultat, okvirni kutiji i snimke neće se savršeno poklopiti. Možete koristiti ovu postavku da pomaknete oznake unaprijed ili unazad u vremenu da bi ih bolje uskladili s snimljenim snimkom.", + "millisecondsToOffset": "Milisekunde za pomak detektovanih oznaka. Podrazumevano: 0", + "tips": "Smanjite vrijednost ako je reprodukcija videa ispred kutija i tačaka putanje, a povećajte vrijednost ako je reprodukcija videa iza njih. Ova vrijednost može biti negativna.", + "toast": { + "success": "Pomak anotacije za {{camera}} je sačuvan u konfiguracionu datoteku." + } + } + }, + "carousel": { + "previous": "Prethodni slajd", + "next": "Sljedeći slajd" + } + }, + "details": { + "item": { + "title": "Pregled detalja stavke", + "desc": "Detalji stavke za pregled", + "button": { + "share": "Dijelite ovu stavku za pregled", + "viewInExplore": "Pregledajte u Explore" + }, + "tips": { + "mismatch_one": "{{count}} nedostupan objekat je detektovan i uključen u ovu stavku pregleda. Ti objekti se nisu kvalifikovali kao upozorenje ili detekcija, ili su već očišćeni/obrisani.", + "mismatch_few": "{{count}} nedostupnih objekata je detektovano i uključeno u ovu stavku pregleda. Ti objekti se nisu kvalifikovali kao upozorenje ili detekciju, ili su već očišćeni/obrisani.", + "mismatch_other": "{{count}} nedostupnih objekata je detektovano i uključeno u ovu stavku pregleda. Ti objekti se nisu kvalifikovali kao upozorenje ili detekciju, ili su već očišćeni/obrisani.", + "hasMissingObjects": "Prilagodite svoju konfiguraciju ako želite da Frigate sačuva pratiti objekte za sljedeće oznake: {{objects}}" + }, + "toast": { + "success": { + "regenerate": "Zahtjev za novi opis je poslat {{provider}}. Ovisno o brzini vašeg provajdera, novi opis može potrajati neko vrijeme da se ponovno generira.", + "updatedSublabel": "Uspješno ažurirana podjezika.", + "updatedLPR": "Uspješno ažurirana tablica.", + "updatedAttributes": "Uspješno ažurirana atribute.", + "audioTranscription": "Uspješno zahtjev za audio transkripciju. Ovisno o brzini vašeg Frigate servera, transkripcija može potrajati neko vrijeme da se završi." + }, + "error": { + "regenerate": "Neuspješno poziv {{provider}} za novi opis: {{errorMessage}}", + "updatedSublabelFailed": "Neuspješno ažuriranje podjezika: {{errorMessage}}", + "updatedLPRFailed": "Neuspješno ažuriranje tablice: {{errorMessage}}", + "updatedAttributesFailed": "Neuspješno ažuriranje atribute: {{errorMessage}}", + "audioTranscription": "Neuspješno zahtjev za audio transkripciju: {{errorMessage}}" + } + } + }, + "label": "Oznaka", + "editSubLabel": { + "title": "Uredi podjeziku", + "desc": "Unesite novu podjeziku za ovaj {{label}}", + "descNoLabel": "Unesite novu podjeziku za ovaj pratiti objekt" + }, + "editLPR": { + "title": "Uredi tablica", + "desc": "Unesite novu vrijednost tablice za ovaj {{label}}", + "descNoLabel": "Unesite novu vrijednost tablice za ovaj praćeni objekt" + }, + "editAttributes": { + "title": "Uredi atribute", + "desc": "Odaberite atribute klasifikacije za ovaj {{label}}" + }, + "snapshotScore": { + "label": "Snimak Rezultat" + }, + "topScore": { + "label": "Najbolji Rezultat", + "info": "Najbolji rezultat je najviši srednji rezultat za praćeni objekt, pa se može razlikovati od rezultata prikazanog na minijaturi rezultata pretrage." + }, + "score": { + "label": "Rezultat" + }, + "recognizedLicensePlate": "Prepoznata tablica", + "attributes": "Atributi klasifikacije", + "estimatedSpeed": "Procijenjena brzina", + "objects": "Objekti", + "camera": "Kamera", + "zones": "Zone", + "timestamp": "Vremenski pečat", + "button": { + "findSimilar": "Pronađi slične", + "regenerate": { + "title": "Regeneriraj", + "label": "Regeneriraj opis praćenog objekta" + } + }, + "description": { + "label": "Opis", + "placeholder": "Opis praćenog objekta", + "aiTips": "Frigate neće tražiti opis od vašeg generativnog AI provajdera dok se životni vijek praćenog objekta ne završi." + }, + "expandRegenerationMenu": "Proširi izbornik regeneracije", + "regenerateFromSnapshot": "Regeneriraj iz snimka", + "regenerateFromThumbnails": "Regeneriraj iz minijatura", + "tips": { + "descriptionSaved": "Uspješno sačuvan opis", + "saveDescriptionFailed": "Neuspješno ažuriranje opisa: {{errorMessage}}" + }, + "title": { + "label": "Naslov" + }, + "scoreInfo": "Informacije o rezultatu" + }, + "itemMenu": { + "downloadVideo": { + "label": "Preuzmi video", + "aria": "Preuzmi video" + }, + "downloadSnapshot": { + "label": "Preuzmi snimak", + "aria": "Preuzmi snimak" + }, + "downloadCleanSnapshot": { + "label": "Preuzmi čist snimak", + "aria": "Preuzmi čist snimak" + }, + "viewTrackingDetails": { + "label": "Pregledaj detalje praćenja", + "aria": "Prikaži detalje praćenja" + }, + "findSimilar": { + "label": "Pronađi slične", + "aria": "Pronađi slične praćene objekte" + }, + "addTrigger": { + "label": "Dodaj izazov", + "aria": "Dodaj izazov za ovaj praćeni objekt" + }, + "audioTranscription": { + "label": "Transkriptiraj", + "aria": "Zatraži transkripciju zvuka" + }, + "submitToPlus": { + "label": "Pošalji na Frigate+", + "aria": "Pošalji na Frigate Plus" + }, + "viewInHistory": { + "label": "Pregledajte u povijesti", + "aria": "Pregledajte u povijesti" + }, + "deleteTrackedObject": { + "label": "Obriši ovaj praćeni objekt" + }, + "showObjectDetails": { + "label": "Prikaži put objekta" + }, + "hideObjectDetails": { + "label": "Sakrij put objekta" + }, + "debugReplay": { + "label": "Debug ponovno snimanje", + "aria": "Pregledaj ovaj praćeni objekt u pogledu debug ponovnog snimanja" + }, + "more": { + "aria": "Više" + } + }, + "dialog": { + "confirmDelete": { + "title": "Potvrdi brisanje", + "desc": "Brisanje ovog praćenog objekta uklanja snimak, bilo kakve sačuvane ugradnje, i sve povezane unose detalja praćenja. Snimljeni materijal ovog praćenog objekta u pogledu povijesti NEĆE biti obrisan.

Sigurno li želite nastaviti?" + }, + "toast": { + "error": "Greška prilikom brisanja ovog praćenog objekta: {{errorMessage}}" + } + }, + "noTrackedObjects": "Nijedan praćeni objekt nije pronađen", + "fetchingTrackedObjectsFailed": "Greška prilikom dohvaćanja praćenih objekata: {{errorMessage}}", + "trackedObjectsCount_one": "{{count}} praćeni objekt ", + "trackedObjectsCount_few": "{{count}} praćena objekta ", + "trackedObjectsCount_other": "{{count}} praćena objekta ", + "searchResult": { + "tooltip": "Pronađeno {{type}} na {{confidence}}%", + "previousTrackedObject": "Prethodni praćeni objekt", + "nextTrackedObject": "Sljedeći praćeni objekt", + "deleteTrackedObject": { + "toast": { + "success": "Praćeni objekt je uspješno obrisan.", + "error": "Neuspješno brisanje praćenog objekta: {{errorMessage}}" + } + } + }, + "aiAnalysis": { + "title": "Analiza AI" + }, + "concerns": { + "label": "Pitanja" + }, + "objectLifecycle": { + "noImageFound": "Nije pronađena slika za ovaj praćeni objekt." + } +} diff --git a/web/public/locales/bs/views/exports.json b/web/public/locales/bs/views/exports.json new file mode 100644 index 0000000000..b04ece10b0 --- /dev/null +++ b/web/public/locales/bs/views/exports.json @@ -0,0 +1,128 @@ +{ + "search": "Pretraga", + "documentTitle": "Izvoz - Frigate", + "selected_one": "{{count}} odabrano", + "selected_other": "{{count}} odabrano", + "noExports": "Nijedan izvoz nije pronađen", + "headings": { + "cases": "Slučajevi", + "uncategorizedExports": "Nekategorizirani izvozi" + }, + "deleteExport": { + "label": "Obriši izvoz", + "desc": "Da li ste sigurni da želite da obrišete {{exportName}}?" + }, + "editExport": { + "title": "Preimenuj izvoz", + "desc": "Unesite novi naziv za ovaj izvoz.", + "saveExport": "Sačuvaj izvoz" + }, + "tooltip": { + "shareExport": "Dijeli izvoz", + "downloadVideo": "Preuzmi video", + "editName": "Uredi naziv", + "deleteExport": "Obriši izvoz", + "assignToCase": "Dodaj u slučaj", + "removeFromCase": "Ukloni iz slučaja" + }, + "toolbar": { + "newCase": "Novi slučaj", + "addExport": "Dodaj izvoz", + "editCase": "Uredi slučaj", + "deleteCase": "Obriši slučaj" + }, + "toast": { + "error": { + "renameExportFailed": "Neuspješno preimenovanje izvoza: {{errorMessage}}", + "assignCaseFailed": "Neuspješno ažuriranje dodjele slučaja: {{errorMessage}}", + "caseSaveFailed": "Neuspješno čuvanje slučaja: {{errorMessage}}", + "caseDeleteFailed": "Neuspješno brisanje slučaja: {{errorMessage}}" + } + }, + "deleteCase": { + "label": "Obriši slučaj", + "desc": "Da li ste sigurni da želite da obrišete {{caseName}}?", + "descKeepExports": "Izvozi će ostati dostupni kao nekategorizirani izvozi.", + "descDeleteExports": "Svi izvozi u ovom slučaju trajno će biti obrisani.", + "deleteExports": "Takođe izbriši izvoze" + }, + "caseDialog": { + "title": "Dodaj u slučaj", + "description": "Odaberite postojeći slučaj ili napravite novi.", + "selectLabel": "Slučaj", + "newCaseOption": "Napravite novi slučaj", + "nameLabel": "Ime slučaja", + "descriptionLabel": "Opis" + }, + "caseCard": { + "emptyCase": "Nema još izvoza" + }, + "jobCard": { + "defaultName": "{{camera}} izvoz", + "queued": "U redu", + "running": "Pokretanje", + "preparing": "Priprema", + "copying": "Kopiranje", + "encoding": "Kodiranje", + "encodingRetry": "Kodiranje (ponovi)", + "finalizing": "Završavanje" + }, + "caseView": { + "noDescription": "Nema opisa", + "createdAt": "Kreirano {{value}}", + "exportCount_one": "1 izvoz", + "exportCount_other": "{{count}} izvozi", + "cameraCount_one": "1 kamera", + "cameraCount_other": "{{count}} kamere", + "showMore": "Prikaži više", + "showLess": "Prikaži manje", + "emptyTitle": "Ovaj slučaj je prazan", + "emptyDescription": "Dodaj postojet će nekategorizirane izvoze kako bi slučaj ostao organizovan.", + "emptyDescriptionNoExports": "Nema dostupnih nekategoriziranih izvoza koje je moguće dodati još." + }, + "caseEditor": { + "createTitle": "Kreiraj slučaj", + "editTitle": "Uredi slučaj", + "namePlaceholder": "Ime slučaja", + "descriptionPlaceholder": "Dodaj napomene ili kontekst za ovaj slučaj" + }, + "addExportDialog": { + "title": "Dodaj izvoz u {{caseName}}", + "searchPlaceholder": "Pretraga nekategoriziranih izvoza", + "empty": "Nema nekategoriziranih izvoza koji odgovaraju ovoj pretrazi.", + "addButton_one": "Dodaj 1 izvoz", + "addButton_other": "Dodaj {{count}} izvoza", + "adding": "Dodavanje..." + }, + "bulkActions": { + "addToCase": "Dodaj u slučaj", + "moveToCase": "Premjesti u slučaj", + "removeFromCase": "Ukloni iz slučaja", + "delete": "Obriši", + "deleteNow": "Obriši sada" + }, + "bulkDelete": { + "title": "Obriši izvoze", + "desc_one": "Sigurni li ste da želite obrisati {{count}} izvoz?", + "desc_other": "Sigurni li ste da želite obrisati {{count}} izvoze?" + }, + "bulkRemoveFromCase": { + "title": "Ukloni iz slučaja", + "desc_one": "Ukloni {{count}} izvoz iz ovog slučaja?", + "desc_other": "Ukloni {{count}} izvoze iz ovog slučaja?", + "descKeepExports": "Izvozi će biti premješteni u nekategorizirane.", + "descDeleteExports": "Izvozi će biti trajno obrisani.", + "deleteExports": "Umjesto toga, obriši izvoze" + }, + "bulkToast": { + "success": { + "delete": "Uspješno obrisani izvozi", + "reassign": "Uspješno ažurirana dodjela slučaja", + "remove": "Uspješno uklonjeni izvozi iz slučaja" + }, + "error": { + "deleteFailed": "Neuspješno brisanje izvoza: {{errorMessage}}", + "reassignFailed": "Neuspješno ažuriranje dodjele slučaja: {{errorMessage}}" + } + } +} diff --git a/web/public/locales/bs/views/faceLibrary.json b/web/public/locales/bs/views/faceLibrary.json new file mode 100644 index 0000000000..db74fe1f56 --- /dev/null +++ b/web/public/locales/bs/views/faceLibrary.json @@ -0,0 +1,98 @@ +{ + "description": { + "addFace": "Dodajte novu kolekciju u Biblioteku lica prema učitavanju svoje prve slike.", + "placeholder": "Unesite ime za ovu kolekciju", + "invalidName": "Neprihvatljivo ime. Imena mogu sadržavati samo slova, brojeve, razmake, aposrofe, donje crte i crte.", + "nameCannotContainHash": "Ime ne može sadržavati #." + }, + "details": { + "unknown": "Nepoznato", + "timestamp": "Vremenski pečat", + "scoreInfo": "Ocjena je težinski prosjek svih ocjena lica, težinski određen prema veličini lica u svakoj slici." + }, + "train": { + "titleShort": "Nedavno", + "title": "Najnovije prepoznavanja", + "aria": "Odaberite nedavna prepoznavanja", + "empty": "Nema nedavnih pokušaja prepoznavanja lica" + }, + "documentTitle": "Biblioteka lica - Frigate", + "uploadFaceImage": { + "title": "Učitajte sliku lica", + "desc": "Učitajte sliku za skeniranje lica i uključite za {{pageToggle}}" + }, + "collections": "Kolekcije", + "createFaceLibrary": { + "new": "Stvori novo lice", + "nextSteps": "Da biste izgradili čvrstu osnovu:
  • Koristite karticu Najnovije prepoznavanja da biste odabrali i trenirali se na slikama za svaku detektiranu osobu.
  • Fokusirajte se na slike iz pravog ugla za najbolje rezultate; izbjegavajte slike za treniranje koje prikazuju lica pod uglom.
    • " + }, + "steps": { + "faceName": "Unesite ime lica", + "uploadFace": "Učitajte sliku lica", + "nextSteps": "Sljedeći koraci", + "description": { + "uploadFace": "Učitajte sliku od {{name}} koja prikazuje njihovo lice iz pravog ugla. Slika ne mora biti izrezana samo na njihovo lice." + } + }, + "deleteFaceLibrary": { + "title": "Izbrišite ime", + "desc": "Da li ste sigurni da želite izbrisati kolekciju {{name}}? Ovo će trajno izbrisati sva povezana lica." + }, + "deleteFaceAttempts": { + "title": "Izbrišite lica", + "desc_one": "Da li ste sigurni da želite izbrisati {{count}} lice? Ova akcija ne može se poništiti.", + "desc_few": "Da li ste sigurni da želite izbrisati {{count}} lica? Ova akcija ne može se poništiti.", + "desc_other": "Da li ste sigurni da želite izbrisati {{count}} lica? Ova akcija ne može se poništiti." + }, + "renameFace": { + "title": "Preimenujte lice", + "desc": "Unesite novo ime za {{name}}" + }, + "button": { + "deleteFaceAttempts": "Izbrišite lica", + "addFace": "Dodaj lice", + "renameFace": "Preimenuj lice", + "deleteFace": "Obriši lice", + "uploadImage": "Prenesi sliku", + "reprocessFace": "Ponovno obradi lice" + }, + "imageEntry": { + "validation": { + "selectImage": "Molimo izaberite datoteku slike." + }, + "dropActive": "Pustite sliku ovdje…", + "dropInstructions": "Povucite i ispišite, zalijepite sliku ovdje ili kliknite za odabir", + "maxSize": "Maksimalna veličina: {{size}}MB" + }, + "nofaces": "Nema dostupnih lica", + "trainFaceAs": "Obuči lice kao:", + "trainFace": "Obuči lice", + "reclassifyFaceAs": "Ponovno klasificiraj lice kao:", + "reclassifyFace": "Ponovno klasificiraj lice", + "toast": { + "success": { + "uploadedImage": "Uspješno prenesena slika.", + "addFaceLibrary": "{{name}} je uspješno dodan u biblioteku lica!", + "deletedFace_one": "Uspješno obrisano {{count}} lice.", + "deletedFace_few": "Uspješno obrisana {{count}} lica.", + "deletedFace_other": "Uspješno obrisana {{count}} lica.", + "deletedName_one": "{{count}} lice je uspješno obrisano.", + "deletedName_few": "{{count}} lica su uspješno obrisana.", + "deletedName_other": "{{count}} lica su uspješno obrisana.", + "renamedFace": "Uspješno preimenovan lice na {{name}}", + "trainedFace": "Uspješno obučeno lice.", + "reclassifiedFace": "Uspješno ponovno klasificirano lice.", + "updatedFaceScore": "Uspješno ažurirana ocjena lica na {{name}} ({{score}})." + }, + "error": { + "uploadingImageFailed": "Nije uspješno prenijeti sliku: {{errorMessage}}", + "addFaceLibraryFailed": "Nije uspješno postaviti ime lica: {{errorMessage}}", + "deleteFaceFailed": "Neuspješno brisanje: {{errorMessage}}", + "deleteNameFailed": "Nije uspješno obrisati ime: {{errorMessage}}", + "renameFaceFailed": "Nije uspješno preimenovati lice: {{errorMessage}}", + "trainFailed": "Nije uspješno trenirati: {{errorMessage}}", + "reclassifyFailed": "Nije uspješno ponovno klasifikovati lice: {{errorMessage}}", + "updateFaceScoreFailed": "Nije uspješno ažurirati bodove lica: {{errorMessage}}" + } + } +} diff --git a/web/public/locales/bs/views/live.json b/web/public/locales/bs/views/live.json new file mode 100644 index 0000000000..e4fa6735df --- /dev/null +++ b/web/public/locales/bs/views/live.json @@ -0,0 +1,199 @@ +{ + "documentTitle": { + "default": "Uživo - Frigate", + "withCamera": "{{camera}} - Uživo - Frigate" + }, + "lowBandwidthMode": "Nizopojasni režim", + "twoWayTalk": { + "enable": "Omogući dvostrani razgovor", + "disable": "Onemogući dvostrani razgovor" + }, + "cameraAudio": { + "enable": "Omogući zvuk kamere", + "disable": "Onemogući zvuk kamere" + }, + "ptz": { + "move": { + "clickMove": { + "label": "Kliknite unutar okvira da biste centrirali kameru", + "enable": "Omogući klik za pomak", + "enableWithZoom": "Omogući klik za pomak / povucite za uvećanje", + "disable": "Onemogući klik za pomak" + }, + "left": { + "label": "Pomaknite PTZ kameru ulevo" + }, + "up": { + "label": "Pomaknite PTZ kameru gore" + }, + "down": { + "label": "Pomaknite PTZ kameru dolje" + }, + "right": { + "label": "Pomaknite PTZ kameru udesno" + } + }, + "zoom": { + "in": { + "label": "Uvećajte PTZ kameru" + }, + "out": { + "label": "Umanjite PTZ kameru" + } + }, + "focus": { + "in": { + "label": "Fokusirajte PTZ kameru unapred" + }, + "out": { + "label": "Fokusirajte PTZ kameru unazad" + } + }, + "frame": { + "center": { + "label": "Kliknite unutar okvira da biste centrirali PTZ kameru" + } + }, + "presets": "Preseti PTZ kamere" + }, + "camera": { + "enable": "Omogući kameru", + "disable": "Onemogući kameru" + }, + "muteCameras": { + "enable": "Utišajte sve kamere", + "disable": "Ponovo uključite zvuk za sve kamere" + }, + "detect": { + "enable": "Omogući detekciju", + "disable": "Onemogući detekciju" + }, + "recording": { + "enable": "Omogući snimanje", + "disable": "Onemogući snimanje" + }, + "snapshots": { + "enable": "Omogući snimke", + "disable": "Onemogući snimke" + }, + "snapshot": { + "takeSnapshot": "Preuzmi trenutni snimak", + "noVideoSource": "Nema dostupnog video izvora za snimak.", + "captureFailed": "Neuspješno snimanje trenutnog snimka.", + "downloadStarted": "Preuzimanje trenutnog snimka započeto." + }, + "audioDetect": { + "enable": "Omogući detekciju zvuka", + "disable": "Onemogući detekciju zvuka" + }, + "transcription": { + "enable": "Omogući prepoznavanje zvuka uživo", + "disable": "Onemogući prepoznavanje zvuka uživo" + }, + "autotracking": { + "enable": "Omogući automatsko praćenje", + "disable": "Onemogući automatsko praćenje" + }, + "streamStats": { + "enable": "Prikaži statistiku prijenosa", + "disable": "Sakrij statistiku prijenosa" + }, + "manualRecording": { + "title": "Na zahtjev", + "tips": "Preuzmi trenutni snimak ili pokreni ručni događaj na temelju postavki trajanja snimanja ove kamere.", + "playInBackground": { + "label": "Ponovno postavi stream", + "desc": "Omogući ovu opciju da nastavi streamanje kada je pokazivač sakriven." + }, + "showStats": { + "label": "Prikaži statistiku", + "desc": "Omogući ovu opciju da prikaže statistiku prijenosa kao preklapanje na toku kamere." + }, + "debugView": "Pregled za otklanjanje grešaka", + "start": "Počni snimanje na zahtjev", + "started": "Pokrenuto ručno snimanje na zahtjev.", + "failedToStart": "Neuspješno pokretanje ručnog snimanja na zahtjev.", + "recordDisabledTips": "Kako je snimanje onemogućeno ili ograničeno u konfiguraciji za ovu kameru, spremat će se samo snimak.", + "end": "Završi snimanje na zahtjev", + "ended": "Završeno ručno snimanje na zahtjev.", + "failedToEnd": "Neuspješno završavanje ručnog snimanja na zahtjev." + }, + "streamingSettings": "Postavke streamanja", + "notifications": "Obavještenja", + "audio": "Audio", + "suspend": { + "forTime": "Pauziraj za: " + }, + "stream": { + "title": "Tok", + "audio": { + "tips": { + "title": "Audio mora biti izlaz iz vaše kamere i konfiguriran u go2rtc za ovaj stream." + }, + "available": "Audio je dostupan za ovaj stream", + "unavailable": "Audio nije dostupan za ovaj stream" + }, + "debug": { + "picker": "Izbor streama nije dostupan u režimu debuga. Pregled debuga uvijek koristi stream dodeljen ulozi detekcije." + }, + "twoWayTalk": { + "tips": "Vaš uređaj mora podržavati funkciju, a WebRTC mora biti konfiguriran za dvosmernu komunikaciju.", + "available": "Dvosmerna komunikacija je dostupna za ovaj stream", + "unavailable": "Dvosmerna komunikacija nije dostupna za ovaj stream" + }, + "lowBandwidth": { + "tips": "Živo prikazivanje je u režimu niske propusnosti zbog buferiranja ili grešaka u streamu.", + "resetStream": "Ponovno postavi stream" + }, + "playInBackground": { + "label": "Ponovno postavi stream", + "tips": "Omogući ovu opciju da nastavi streamanje kada je pokazivač sakriven." + } + }, + "cameraSettings": { + "title": "{{camera}} Postavke", + "cameraEnabled": "Kamera omogućena", + "objectDetection": "Detekcija objekata", + "recording": "Snimanje", + "snapshots": "Snimci", + "audioDetection": "Detekcija zvuka", + "transcription": "Transkripcija zvuka", + "autotracking": "Autotračenje" + }, + "history": { + "label": "Prikaži povijesne snimke" + }, + "effectiveRetainMode": { + "modes": { + "all": "Sve", + "motion": "Kretanje", + "active_objects": "Aktivni objekti" + } + }, + "editLayout": { + "label": "Uredi raspored", + "group": { + "label": "Uredi grupu kamera" + }, + "exitEdit": "Izađi iz uređivanja" + }, + "noCameras": { + "title": "Nema konfiguriranih kamera", + "description": "Počnite tako što ćete povezati kameru s Frigate.", + "buttonText": "Dodaj kameru", + "restricted": { + "title": "Nema dostupnih kamera", + "description": "Nemate dozvolu za pregled bilo koje kamere u ovoj grupi." + }, + "default": { + "title": "Nema konfiguriranih kamera", + "description": "Počnite tako što ćete povezati kameru s Frigate.", + "buttonText": "Dodaj kameru" + }, + "group": { + "title": "Nema kamera u grupi", + "description": "Ova grupa kamera nema dodeljene ili omogućene kamere.", + "buttonText": "Upravljajte grupama" + } + } +} diff --git a/web/public/locales/bs/views/motionSearch.json b/web/public/locales/bs/views/motionSearch.json new file mode 100644 index 0000000000..f9e417fd19 --- /dev/null +++ b/web/public/locales/bs/views/motionSearch.json @@ -0,0 +1,77 @@ +{ + "documentTitle": "Pretraga pokreta - Frigate", + "title": "Pretraga pokreta", + "description": "Nacrtaj poligon da biste definirali regiju interesa, a zatim navedite vremenski raspon za pretragu promjena pokreta unutar te regije.", + "selectCamera": "Pretraga pokreta učitava se", + "startSearch": "Počni pretragu", + "searchStarted": "Pretraga započeta", + "searchCancelled": "Pretraga otkazana", + "cancelSearch": "Otkaži", + "searching": "Pretraga u toku.", + "searchComplete": "Pretraga završena", + "noResultsYet": "Pokrenite pretragu da biste pronašli promjene pokreta u odabranoj regiji", + "noChangesFound": "Nisu otkrivene promjene piksela u odabranoj regiji", + "changesFound_one": "Pronađeno {{count}} promjena pokreta", + "changesFound_few": "Pronađeno {{count}} nekoliko pokreta", + "changesFound_other": "Pronađeno {{count}} promjene pokreta", + "framesProcessed": "{{count}} okvir procesiran", + "jumpToTime": "Preskoči na ovo vrijeme", + "results": "Rezultati", + "showSegmentHeatmap": "Top mapa", + "newSearch": "Nova pretraga", + "clearResults": "Očisti rezultate", + "clearROI": "Očisti poligon", + "polygonControls": { + "points_one": "{{count}} tačka", + "points_few": "{{count}} tačke", + "points_other": "{{count}} tačke", + "undo": "Poništi posljednju tačku", + "reset": "Ponovi poligon" + }, + "motionHeatmapLabel": "Top mapa pokreta", + "dialog": { + "title": "Pretraga pokreta", + "cameraLabel": "Kamera", + "previewAlt": "Pregled kamere za {{camera}}" + }, + "timeRange": { + "title": "Opseg pretrage", + "start": "Početno vrijeme", + "end": "Krajnje vrijeme" + }, + "settings": { + "title": "Postavke pretrage", + "parallelMode": "Paralelni način", + "parallelModeDesc": "Skeniranje više segmenata snimaka istovremeno (brže, ali značajno intenzivnije za CPU)", + "threshold": "Praga osjetljivosti", + "thresholdDesc": "Niže vrijednosti detektiraju manje promjene (1-255)", + "minArea": "Minimalna površina promjene", + "minAreaDesc": "Minimalni postotak područja interesa koji mora promijeniti da bi se smatrao značajnim", + "frameSkip": "Preskoči okvir", + "frameSkipDesc": "Obrađujte svaki N-ti okvir. Postavite ovo na brzinu okvira vaše kamere da biste obradili jedan okvir po sekundi (npr. 5 za 5 FPS kameru, 30 za 30 FPS kameru). Više vrijednosti će biti brže, ali mogu propustiti kratke događaje pokreta.", + "maxResults": "Maksimalni rezultati", + "maxResultsDesc": "Zaustavi nakon ovog broja odgovarajućih vremenskih oznaka" + }, + "errors": { + "noCamera": "Molimo odaberite kameru", + "noROI": "Molimo nacrtajte područje interesa", + "noTimeRange": "Molimo odaberite vremenski opseg", + "invalidTimeRange": "Krajnje vrijeme mora biti nakon početnog vremena", + "searchFailed": "Pretraga neuspješna: {{message}}", + "polygonTooSmall": "Poligon mora imati najmanje 3 točke", + "unknown": "Nepoznata greška" + }, + "changePercentage": "{{percentage}}% promijenjeno", + "metrics": { + "title": "Metrike pretrage", + "segmentsScanned": "Skenirani segmenti", + "segmentsProcessed": "Obrađeno", + "segmentsSkippedInactive": "Preskočeno (bez aktivnosti)", + "segmentsSkippedHeatmap": "Preskočeno (bez preklapanja ROI)", + "fallbackFullRange": "Povratni put skeniranje cijelog opsega", + "framesDecoded": "Dekodirani okviri", + "wallTime": "Vrijeme pretrage", + "segmentErrors": "Greške segmenta", + "seconds": "{{seconds}}s" + } +} diff --git a/web/public/locales/bs/views/recording.json b/web/public/locales/bs/views/recording.json new file mode 100644 index 0000000000..1810fadad2 --- /dev/null +++ b/web/public/locales/bs/views/recording.json @@ -0,0 +1,12 @@ +{ + "filter": "Filtar", + "export": "Izvoz", + "calendar": "Kalendar", + "filters": "Filtari", + "toast": { + "error": { + "noValidTimeSelected": "Nije odabran valjan vremenski opseg", + "endTimeMustAfterStartTime": "Krajnje vrijeme mora biti nakon početnog vremena" + } + } +} diff --git a/web/public/locales/bs/views/replay.json b/web/public/locales/bs/views/replay.json new file mode 100644 index 0000000000..0b102b53f2 --- /dev/null +++ b/web/public/locales/bs/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "Debug ponavljanje", + "description": "Ponovno prikazivanje snimaka kamere za ispitivanje. Lista objekata prikazuje zakasnjelje sažetak detektiranih objekata, a kartica Zapisi prikazuje tok unutrašnjih poruka Frigate iz snimaka ponavljanja.", + "websocket_messages": "Poruke", + "dialog": { + "title": "Počni debug ponavljanje", + "description": "Kreiraj privremenu kameru za ponavljanje koja ponavlja povijesne snimke za ispitivanje problema detekcije i praćenja objekata. Kamera za ponavljanje će imati istu konfiguraciju detekcije kao i izvorna kamera. Odaberite vremenski raspon za početak.", + "camera": "Izvorna kamera", + "timeRange": "Vremenski opseg", + "preset": { + "1m": "Posljednja 1 minuta", + "5m": "Posljednje 5 minuta", + "timeline": "Iz vremenske linije", + "custom": "Prilagođeno" + }, + "startButton": "Počni ponavljanje", + "selectFromTimeline": "Odaberite", + "starting": "Pokretanje ponavljanja...", + "startLabel": "Početak", + "endLabel": "Kraj", + "toast": { + "error": "Neuspješno pokretanje debug ponavljanja: {{error}}", + "alreadyActive": "Već postoji aktivna sesija ponavljanja", + "stopError": "Neuspješno zaustavljanje debug ponavljanja: {{error}}", + "goToReplay": "Idi na ponavljanje" + } + }, + "page": { + "noSession": "Nema aktivne sesije ponavljanja", + "noSessionDesc": "Pokrenite debug ponavljanje iz pogleda Povijest klikom na dugme Debug Replay u alatnoj traci.", + "goToRecordings": "Idi na povijest", + "sourceCamera": "Izvorna kamera", + "replayCamera": "Kamera za ponavljanje", + "initializingReplay": "Inicijalizacija ponavljanja...", + "stoppingReplay": "Zaustavljanje ponavljanja...", + "stopReplay": "Zaustavi ponavljanje", + "confirmStop": { + "title": "Zaustavi režim ponavljanja za debagovanje?", + "description": "Ovo će zaustaviti sesiju ponavljanja i očistiti sve privremene podatke. Sigurni li?", + "confirm": "Zaustavi ponavljanje", + "cancel": "Otkaži" + }, + "activity": "Aktivnost", + "objects": "Popis objekata", + "audioDetections": "Audio detekcije", + "noActivity": "Nema detektovane aktivnosti", + "activeTracking": "Aktivno praćenje", + "noActiveTracking": "Nema aktivnog praćenja", + "configuration": "Konfiguracija", + "configurationDesc": "Podesiti precizno detekciju pokreta i praćenje objekata za kameru za debagovanje ponavljanja. Promjene se ne čuvaju u datoteci konfiguracije Frigate.", + "preparingClip": "Pripremam klip…", + "preparingClipDesc": "Frigate spaja snimke za odabrani vremenski raspon. Ovo može potrajati minut za duže raspone.", + "startingCamera": "Pokretanje ponovnog pokretanja otklanjanja grešaka…", + "startError": { + "title": "Neuspjelo pokretanje ponovnog prikaza otklanjanja grešaka", + "back": "Povratak na historiju" + } + } +} diff --git a/web/public/locales/bs/views/search.json b/web/public/locales/bs/views/search.json new file mode 100644 index 0000000000..f33ff1025b --- /dev/null +++ b/web/public/locales/bs/views/search.json @@ -0,0 +1,73 @@ +{ + "search": "Pretraga", + "button": { + "save": "Sačuvaj pretragu", + "clear": "Očisti pretragu", + "delete": "Obriši sačuvanu pretragu", + "filterInformation": "Filtrirajte informacije", + "filterActive": "Filtari aktivni" + }, + "savedSearches": "Sačuvane pretrage", + "searchFor": "Pretraga za {{inputValue}}", + "trackedObjectId": "ID praćenog objekta", + "filter": { + "label": { + "cameras": "Kamere", + "labels": "Oznake", + "zones": "Zone", + "sub_labels": "Podoznake", + "attributes": "Atributi", + "search_type": "Tip pretrage", + "time_range": "Vremenski opseg", + "before": "Prije", + "after": "Nakon", + "min_score": "Min. bodovi", + "max_score": "Max. bodovi", + "min_speed": "Min. brzina", + "max_speed": "Max. brzina", + "recognized_license_plate": "Prepoznata tablica", + "has_clip": "Ima klip", + "has_snapshot": "Ima snimak" + }, + "searchType": { + "thumbnail": "Minijatura", + "description": "Opis" + }, + "toast": { + "error": { + "beforeDateBeLaterAfter": "Datum 'before' mora biti kasniji od datuma 'after'.", + "afterDatebeEarlierBefore": "Datum 'after' mora biti raniji od datuma 'before'.", + "minScoreMustBeLessOrEqualMaxScore": "Vrijednost 'min_score' mora biti manja ili jednaka vrijednosti 'max_score'.", + "maxScoreMustBeGreaterOrEqualMinScore": "Vrijednost 'max_score' mora biti veća ili jednaka vrijednosti 'min_score'.", + "minSpeedMustBeLessOrEqualMaxSpeed": "Vrijednost 'min_speed' mora biti manja ili jednaka vrijednosti 'max_speed'.", + "maxSpeedMustBeGreaterOrEqualMinSpeed": "Vrijednost 'max_speed' mora biti veća ili jednaka vrijednosti 'min_speed'." + } + }, + "tips": { + "title": "Kako koristiti tekstualne filtere", + "desc": { + "text": "Filteri vam pomažu da sužite rezultate pretrage. Evo kako ih koristiti u polju za unos:", + "step1": "Unesite ime ključa filtera, zatim dvojtočku (npr. \"kamere:\").", + "step2": "Izaberite vrijednost iz predloga ili unesite vlastitu.", + "step3": "Koristite više filtera dodavanjem jednog za drugim s razmakom između.", + "step4": "Filteri datuma (pre: i nakon:) koriste {{DateFormat}} format.", + "step5": "Filter raspona vremena koristi format {{exampleTime}}.", + "step6": "Uklonite filtre klikom na 'x' pored njih.", + "exampleLabel": "Primjer:" + } + }, + "header": { + "currentFilterType": "Vrijednosti filtera", + "noFilters": "Filtari", + "activeFilters": "Aktivni filteri" + } + }, + "similaritySearch": { + "title": "Pretraga sličnosti", + "active": "Pretraga sličnosti aktivna", + "clear": "Očisti pretragu sličnosti" + }, + "placeholder": { + "search": "Pretraži…" + } +} diff --git a/web/public/locales/bs/views/settings.json b/web/public/locales/bs/views/settings.json new file mode 100644 index 0000000000..10126febb0 --- /dev/null +++ b/web/public/locales/bs/views/settings.json @@ -0,0 +1,1698 @@ +{ + "documentTitle": { + "default": "Postavke - Frigate", + "authentication": "Postavke autentifikacije - Frigate", + "cameraManagement": "Upravljanje kamerama - Frigate", + "cameraReview": "Postavke pregleda kamera - Frigate", + "enrichments": "Postavke bogatstva - Frigate", + "masksAndZones": "Uređivač maski i zona - Frigate", + "motionTuner": "Podešavanje pokreta - Frigate", + "object": "Debug - Frigate", + "general": "Postavke korisničkog sučelja - Frigate", + "globalConfig": "Globalna konfiguracija - Frigate", + "cameraConfig": "Konfiguracija kamere - Frigate", + "frigatePlus": "Postavke Frigate+ - Frigate", + "notifications": "Postavke obavijesti - Frigate", + "maintenance": "Održavanje - Frigate", + "profiles": "Profili - Frigate" + }, + "menu": { + "system": "Sistem", + "profiles": "Profili", + "general": "Općenito", + "globalConfig": "Globalna konfiguracija", + "integrations": "Integracije", + "cameras": "Konfiguracija kamere", + "ui": "UI", + "uiSettings": "Postavke korisničkog sučelja", + "globalDetect": "Detekcija objekata", + "globalRecording": "Snimanje", + "globalSnapshots": "Snimci", + "globalFfmpeg": "FFmpeg", + "globalMotion": "Detekcija pokreta", + "globalObjects": "Objekti", + "globalReview": "Pregled", + "globalAudioEvents": "Audio događaji", + "globalLivePlayback": "Uživo prikaz", + "globalTimestampStyle": "Stil vremenske oznake", + "systemDatabase": "Baza podataka", + "systemTls": "TLS", + "systemAuthentication": "Autentifikacija", + "systemNetworking": "Mrežno", + "systemProxy": "Proxy", + "systemUi": "UI", + "systemLogging": "Zapisi", + "systemEnvironmentVariables": "Okolinski varijable", + "systemTelemetry": "Telemetrija", + "systemBirdseye": "Birdseye", + "systemFfmpeg": "FFmpeg", + "systemDetectorHardware": "Hardver detektora", + "systemDetectionModel": "Model detekcije", + "systemMqtt": "MQTT", + "systemGo2rtcStreams": "go2rtc streams", + "integrationSemanticSearch": "Semantička pretraga", + "integrationGenerativeAi": "Generativna AI", + "integrationFaceRecognition": "Prepoznavanje lica", + "integrationLpr": "Prepoznavanje tablice za registraciju", + "integrationObjectClassification": "Klasifikacija objekata", + "integrationAudioTranscription": "Transkripcija zvuka", + "cameraDetect": "Detekcija objekata", + "cameraFfmpeg": "FFmpeg", + "cameraRecording": "Snimanje", + "cameraSnapshots": "Snimci", + "cameraMotion": "Detekcija pokreta", + "cameraObjects": "Objekti", + "cameraConfigReview": "Pregled", + "cameraAudioEvents": "Audio događaji", + "cameraAudioTranscription": "Transkripcija zvuka", + "cameraNotifications": "Obavještenja", + "cameraLivePlayback": "Uživo prikaz", + "cameraBirdseye": "Birdseye", + "cameraFaceRecognition": "Prepoznavanje lica", + "cameraLpr": "Prepoznavanje tablice za registraciju", + "cameraMqttConfig": "MQTT", + "cameraOnvif": "ONVIF", + "cameraUi": "Kamera UI", + "cameraTimestampStyle": "Stil vremenske oznake", + "cameraMqtt": "Kamera MQTT", + "cameraManagement": "Upravljanje", + "cameraReview": "Pregled", + "masksAndZones": "Maska / Zone", + "motionTuner": "Regulator kretanja", + "enrichments": "Poboljšanja", + "users": "Korisnici", + "roles": "Uloge", + "notifications": "Obavještenja", + "triggers": "Pokretači", + "debug": "Debug", + "frigateplus": "Frigate+", + "maintenance": "Održavanje", + "mediaSync": "Sinkronizacija medija", + "regionGrid": "Mreža regija" + }, + "button": { + "overriddenGlobal": "Prekriveno (Globalno)", + "overriddenGlobalTooltip": "Ova kamera prekriva globalne postavke konfiguracije u ovom odjeljku", + "overriddenBaseConfig": "Prekriveno (Bazna konfiguracija)", + "overriddenBaseConfigTooltip": "Profil {{profile}} prekriva postavke konfiguracije u ovom odjeljku", + "overriddenInCameras": { + "label_one": "Nadjačano u {{count}} kameri", + "label_few": "Nadjačano u {{count}} kamere", + "label_other": "Nadjačano u {{count}} kamera", + "tooltip_one": "{{count}} kamera nadjačava vrijednosti u ovom odjeljku. Kliknite za detalje.", + "tooltip_few": "{{count}} kamere nadjačavaju vrijednosti u ovom odjeljku. Kliknite za detalje.", + "tooltip_other": "{{count}} kamera nadjačava vrijednosti u ovom odjeljku. Kliknite za detalje.", + "heading_one": "Ovaj globalni odjeljak ima polja koja su nadjačana u {{count}} kameri.", + "heading_few": "Ovaj globalni odjeljak ima polja koja su nadjačana u {{count}} kamere.", + "heading_other": "Ovaj globalni odjeljak ima polja koja su nadjačana u {{count}} kamera.", + "othersField_one": "{{count}} drugo", + "othersField_few": "{{count}} druga", + "othersField_other": "{{count}} drugih", + "profilePrefix": "{{profile}} profil: {{fields}}" + } + }, + "dialog": { + "unsavedChanges": { + "title": "Imate nečuvane promjene.", + "desc": "Želite li da sačuvate promjene prije nego što nastavite?" + } + }, + "saveAllPreview": { + "title": "Promjene koje treba sačuvati", + "triggerLabel": "Pregledajte čekajuće promjene", + "empty": "Nema čekajućih promjena.", + "scope": { + "label": "Opseg", + "global": "Globalni", + "camera": "Kamera: {{cameraName}}" + }, + "profile": { + "label": "Profil" + }, + "field": { + "label": "Polje" + }, + "value": { + "label": "Nova vrijednost", + "reset": "Resetuj" + } + }, + "cameraSetting": { + "camera": "Kamera", + "noCamera": "Nema kamere" + }, + "general": { + "title": "Postavke korisničkog sučelja", + "liveDashboard": { + "title": "Uživo upravljačko sučelje", + "automaticLiveView": { + "label": "Automatski pregled uživo", + "desc": "Automatski pređite na pregled uživo kamere kada se detektira aktivnost. Onemogućavanje ove opcije uzrokuje da statične slike kamere na upravljačkom sučelju uživo ažuriraju se jednom na minut." + }, + "playAlertVideos": { + "label": "Pregledajte videozapise upozorenja", + "desc": "Zaduženo, nedavna upozorenja na upravljačkom sučelju uživo se prikazuju kao mala petlja videa. Onemogućavanje ove opcije omogućava prikaz samo statične slike nedavnih upozorenja na ovom uređaju/pregledniku." + }, + "displayCameraNames": { + "label": "Uvijek prikaži imena kamere", + "desc": "Uvijek prikaži imena kamere u čipu u pregledu uživo više kamera." + }, + "liveFallbackTimeout": { + "label": "Vrijeme čekanja za povratno prelazak igrača uživo", + "desc": "Kada je visokokvalitetni tok uživo za kameru nedostupan, pređite na način s niskom širinom pojasa nakon ovog broja sekundi. Zadano: 3." + } + }, + "storedLayouts": { + "title": "Pohranjene izgleda", + "desc": "Izgled kamere u grupi kamera može se povući/ponoviti. Položaji se pohranjuju u lokalno skladište vašeg preglednika.", + "clearAll": "Izbriši sve izgleda" + }, + "cameraGroupStreaming": { + "title": "Postavke streaminga za grupu kamera", + "desc": "Postavke streaminga za svaku grupu kamera pohranjene su u lokalno skladište vašeg preglednika.", + "clearAll": "Izbriši sve postavke streaminga" + }, + "recordingsViewer": { + "title": "Pregledač snimaka", + "defaultPlaybackRate": { + "label": "Zadani brzina reprodukcije", + "desc": "Zadani brzina reprodukcije za prikazivanje snimaka." + } + }, + "calendar": { + "title": "Kalendar", + "firstWeekday": { + "label": "Prvi radni dan", + "desc": "Dan na kojem počinju tjedni pregled kalendar.", + "sunday": "Nedjelja", + "monday": "Ponedjeljak" + } + }, + "toast": { + "success": { + "clearStoredLayout": "Izbrisana pohranjena izgled za {{cameraName}}", + "clearStreamingSettings": "Izbrisane postavke streaminga za sve grupe kamera." + }, + "error": { + "clearStoredLayoutFailed": "Nije uspješno obrisano pohranjeno raspoređenje: {{errorMessage}}", + "clearStreamingSettingsFailed": "Nije uspješno obrisano pohranjene postavke streaminga: {{errorMessage}}" + } + } + }, + "enrichments": { + "title": "Postavke obogaćivanja", + "unsavedChanges": "Nespremljene promjene postavki bogatstva", + "birdClassification": { + "title": "Klasifikacija ptica", + "desc": "Klasifikacija ptica identifikuje poznate ptice pomoću kvantiziranog Tensorflow modela. Kada se prepozna poznata ptica, njezino uobičajeno ime bit će dodato kao sub_label. Ova informacija uključena je u UI, filtere, kao i u obavijesti." + }, + "semanticSearch": { + "title": "Semantička pretraga", + "desc": "Semantička pretraga u Frigate omogućava vam da pronađete praćene objekte unutar vaših stavki za pregled pomoću same slike, korisnički definiranog tekstualnog opisa ili automatski generiranog.", + "reindexNow": { + "label": "Ponovno indeksiraj sada", + "desc": "Ponovno indeksiranje će ponovno generirati ugrađivanja za sve praćene objekte. Ovaj proces se izvršava u pozadini i može iskoristiti punu snagu vašeg CPU-a i može trajati značajno vrijeme ovisno o broju praćenih objekata koje imate.", + "confirmTitle": "Potvrdi ponovno indeksiranje", + "confirmDesc": "Sigurni li ste da želite ponovno indeksirati ugrađivanja svih praćenih objekata? Ovaj proces će se izvršavati u pozadini, ali može iskoristiti punu snagu vašeg CPU-a i može trajati značajno vrijeme. Možete pratiti napredak na stranici Istraživanje.", + "confirmButton": "Ponovno indeksiraj", + "success": "Ponovno indeksiranje je uspješno pokrenuto.", + "alreadyInProgress": "Ponovno indeksiranje već je u toku.", + "error": "Nije uspješno pokrenuto ponovno indeksiranje: {{errorMessage}}" + }, + "modelSize": { + "label": "Veličina modela", + "desc": "Veličina modela korištenog za semantičke pretrage ugrađivanja.", + "small": { + "title": "mali", + "desc": "Korištenje mali koristi kvantiziranu verziju modela koja koristi manje RAM-a i brže se izvršava na CPU-u s vrlo zanemarivim razlikama u kvaliteti ugrađivanja." + }, + "large": { + "title": "veliki", + "desc": "Korištenje veliki koristi puni Jina model i automatski će se izvršavati na GPU-u ako je primjenjivo." + } + } + }, + "faceRecognition": { + "title": "Prepoznavanje lica", + "desc": "Prepoznavanje lica omogućava ljudima da se dodele imena, a kada se prepozna lice, Frigate će dodijeliti ime osobe kao sub_label. Ova informacija uključena je u UI, filtere, kao i u obavijesti.", + "modelSize": { + "label": "Veličina modela", + "desc": "Veličina modela korištenog za prepoznavanje lica.", + "small": { + "title": "mali", + "desc": "Korišćenje mali koristi model za ugradnju lica FaceNet koji učinkovito radi na većini CPU-ova." + }, + "large": { + "title": "veliki", + "desc": "Korišćenje veliki koristi model za ugradnju lica ArcFace i automatski će se pokrenuti na GPU-u ako je primjenjivo." + } + } + }, + "licensePlateRecognition": { + "title": "Prepoznavanje tablice vozila", + "desc": "Frigate može prepoznati registracijske tablice na vozilima i automatski dodati detektirane znakove u polje recognized_license_plate ili poznato ime kao sub_label objektima koji su tipa automobil. Često korišćeni slučaj može biti čitanje registracijskih tablica automobila koji se voze u dvorište ili automobila koji prolaze ulicom." + }, + "restart_required": "Potrebno je ponovno pokretanje (promijenjene postavke bogatstva)", + "toast": { + "success": "Postavke bogatstva su sačuvane. Ponovno pokrenite Frigate da biste primijenili svoje promjene.", + "error": "Nije uspješno sačuvana promjena konfiguracije: {{errorMessage}}" + } + }, + "cameraWizard": { + "title": "Dodaj kameru", + "description": "Slijedite korake ispod da biste dodali novu kameru u svoju instalaciju Frigate.", + "steps": { + "nameAndConnection": "Ime i Povezivanje", + "probeOrSnapshot": "Testiranje ili Snimak", + "streamConfiguration": "Konfiguracija strujanja", + "validationAndTesting": "Validacija i Testiranje" + }, + "save": { + "success": "Uspješno sačuvana nova kamera {{cameraName}}.", + "failure": "Greška prilikom sačuvavanja {{cameraName}}." + }, + "testResultLabels": { + "resolution": "Rezolucija", + "video": "Video", + "audio": "Audio", + "fps": "FPS" + }, + "commonErrors": { + "noUrl": "Molimo unesite važeću URL adresu za strujanje", + "testFailed": "Test strujanja nije uspio: {{error}}" + }, + "step1": { + "description": "Unesite detalje o svojoj kameri i odaberite testiranje kamere ili ručno odaberite proizvođača.", + "cameraName": "Ime kamere", + "cameraNamePlaceholder": "npr. front_door ili Pregled zadnjeg dvorišta", + "host": "Host/IP adresa", + "port": "Port", + "username": "Korisničko ime", + "usernamePlaceholder": "Opcionalno", + "password": "Lozinka", + "passwordPlaceholder": "Opcionalno", + "selectTransport": "Odaberite protokol prenosa", + "cameraBrand": "Marka kamere", + "selectBrand": "Odaberite marku kamere za URL predložak", + "customUrl": "Prilagođeni URL tokova", + "brandInformation": "Informacije o brendu", + "brandUrlFormat": "Za kamere sa formatom RTSP URL-a kao: {{exampleUrl}}", + "customUrlPlaceholder": "rtsp://username:password@host:port/path", + "connectionSettings": "Postavke veze", + "detectionMethod": "Metoda detekcije tokova", + "onvifPort": "Port ONVIF", + "probeMode": "Pregledaj kameru", + "manualMode": "Ručna selekcija", + "detectionMethodDescription": "Pregledaj kameru pomoću ONVIF (ako je podržano) kako bi pronašao URL-ove tokova kamere, ili ručno odaberi brend kamere za korištenje preddefiniranih URL-ova. Za unos prilagođenog RTSP URL-a, odaberi ručni metod i odaberi \"Ostalo\".", + "onvifPortDescription": "Za kamere koje podržavaju ONVIF, ovo je obično 80 ili 8080.", + "useDigestAuth": "Koristi digest autentifikaciju", + "useDigestAuthDescription": "Koristi HTTP digest autentifikaciju za ONVIF. Neke kamere mogu zahtijevati dedikovane korisničko ime/lozinku ONVIF umjesto standardnog korisnika admin.", + "errors": { + "brandOrCustomUrlRequired": "Odaberite brend kamere s host/IP ili odaberite 'Ostalo' s prilagođenim URL-om", + "nameRequired": "Ime kamere je obavezno", + "nameLength": "Ime kamere mora imati 64 znaka ili manje", + "invalidCharacters": "Ime kamere sadrži nevažeće znakove", + "nameExists": "Ime kamere već postoji", + "customUrlRtspRequired": "Prilagođeni URL-ovi moraju početi s \"rtsp://\". Za tokove kamere koji nisu RTSP potrebna je ručna konfiguracija." + } + }, + "step2": { + "description": "Pregledajte kameru za dostupne tokove ili konfigurirajte ručne postavke na temelju odabrane metode detekcije.", + "testSuccess": "Test veze uspješan!", + "testFailed": "Test veze nije uspio. Molimo provjerite svoj unos i pokušajte ponovno.", + "testFailedTitle": "Test nije uspio", + "streamDetails": "Detalji tokova", + "probing": "Pregledavanje kamere...", + "retry": "Pokušaj ponovno", + "testing": { + "probingMetadata": "Pregledavanje metapodataka kamere...", + "fetchingSnapshot": "Učitavanje snimka kamere..." + }, + "probeFailed": "Neuspješno ispitivanje kamere: {{error}}", + "probingDevice": "Ispitivanje uređaja...", + "probeSuccessful": "Uspješno ispitivanje", + "probeError": "Greška ispitivanja", + "probeNoSuccess": "Neuspješno ispitivanje", + "deviceInfo": "Informacije o uređaju", + "manufacturer": "Proizvođač", + "model": "Model", + "firmware": "Firmver", + "profiles": "Profili", + "ptzSupport": "Podrška PTZ", + "autotrackingSupport": "Podrška za autotračenje", + "presets": "Podešavanja", + "rtspCandidates": "RTSP kandidati", + "rtspCandidatesDescription": "Sljedeće RTSP URL-ovi su pronađeni iz ispitivanja kamere. Testirajte vezu za pregled metapodataka o streamu.", + "noRtspCandidates": "Nisu pronađeni RTSP URL-ovi iz kamere. Vaše vjerodajnice mogu biti netočne, ili kamera možda ne podržava ONVIF ili metod za dobivanje RTSP URL-ova. Vrati se i ručno unesi RTSP URL.", + "candidateStreamTitle": "Kandidat {{number}}", + "useCandidate": "Koristi", + "uriCopy": "Kopiraj", + "uriCopied": "URI kopiran na međuspremnik", + "testConnection": "Testiraj vezu", + "toggleUriView": "Kliknite za prebacivanje u puni prikaz URI-ja", + "connected": "Povezani", + "notConnected": "Nije povezan", + "errors": { + "hostRequired": "Potrebna je adresa hosta/IP" + } + }, + "step3": { + "description": "Konfigurirajte uloge streamova i dodajte dodatne streamove za vašu kameru.", + "streamsTitle": "Streamovi kamere", + "addStream": "Dodaj snimak", + "addAnotherStream": "Dodaj još jedan snimak", + "streamTitle": "Snimak {{number}}", + "streamUrl": "URL snimka", + "streamUrlPlaceholder": "rtsp://username:password@host:port/path", + "selectStream": "Odaberite snimak", + "searchCandidates": "Pretražite kandidate...", + "noStreamFound": "Nijedan snimak nije pronađen", + "url": "URL", + "resolution": "Rezolucija", + "selectResolution": "Odaberite rezoluciju", + "quality": "Kvalitet", + "selectQuality": "Odaberite kvalitet", + "roles": "Uloge", + "roleLabels": { + "detect": "Detekcija objekata", + "record": "Snimanje", + "audio": "Audio" + }, + "testStream": "Testirajte vezu", + "testSuccess": "Test snimka uspješan!", + "testFailed": "Test snimka neuspješan", + "testFailedTitle": "Test neuspješan", + "connected": "Povezani", + "notConnected": "Nije povezan", + "featuresTitle": "Funkcije", + "go2rtc": "Smanjite povezivanje s kamerom", + "detectRoleWarning": "Bar jedan snimak mora imati ulogu \"detektirati\" da biste nastavili.", + "rolesPopover": { + "title": "Uloge snimka", + "detect": "Glavni tok za detekciju objekata.", + "record": "Sprema segmente video toka na temelju postavki konfiguracije.", + "audio": "Tok za detekciju na temelju zvuka." + }, + "featuresPopover": { + "title": "Značajke snimka", + "description": "Koristite go2rtc restreaming za smanjenje povezivanja s vašom kamerom." + } + }, + "step4": { + "description": "Konačna validacija i analiza prije spašavanja vaše nove kamere. Povežite svaki tok prije spašavanja.", + "validationTitle": "Validacija toka", + "connectAllStreams": "Poveži sve toke", + "reconnectionSuccess": "Ponovno povezivanje uspješno.", + "reconnectionPartial": "Neki tokovi su neuspješno ponovno povezani.", + "streamUnavailable": "Pregled toka nije dostupan", + "reload": "Ponovno učitaj", + "connecting": "Povezivanje...", + "streamTitle": "Tok {{number}}", + "valid": "Važeći", + "failed": "Neuspješno", + "notTested": "Nije testirano", + "connectStream": "Poveži", + "connectingStream": "Povezivanje", + "disconnectStream": "Odspoji", + "estimatedBandwidth": "Procijenjena širina pojasa", + "roles": "Uloge", + "ffmpegModule": "Koristi režim kompatibilnosti toka", + "ffmpegModuleDescription": "Ako tok ne učita nakon nekoliko pokušaja, pokušajte omogućavanje ovoga. Kada je omogućeno, Frigate će koristiti modul ffmpeg sa go2rtc. Ovo može pružiti bolju kompatibilnost sa nekim tokovima kamera.", + "none": "Nijedan", + "error": "Greška", + "streamValidated": "Tok {{number}} uspješno validiran", + "streamValidationFailed": "Tok {{number}} validacija neuspješna", + "saveAndApply": "Sačuvaj novu kameru", + "saveError": "Neispravna konfiguracija. Molimo provjerite svoje postavke.", + "issues": { + "title": "Validacija toka", + "videoCodecGood": "Video kodak je {{codec}}.", + "audioCodecGood": "Audio kodak je {{codec}}.", + "resolutionHigh": "Rezolucija od {{resolution}} može uzrokovati povećanu upotrebu resursa.", + "resolutionLow": "Rezolucija od {{resolution}} može biti preniska za pouzdanu detekciju malih objekata.", + "resolutionUnknown": "Rezolucija ovog tokova nije moguća za ispitivanje. Trebalo bi ručno postaviti detekciju rezolucije u Postavkama ili vašoj konfiguraciji.", + "noAudioWarning": "Nije detektovan zvuk za ovaj tok, snimci neće imati zvuk.", + "audioCodecRecordError": "Potreban je AAC audio kodac za podršku zvuku u snimcima.", + "audioCodecRequired": "Potreban je audio tok za podržavanje detekcije zvuka.", + "restreamingWarning": "Smanjenje povezivanja sa kamerom za snimljeni tok može lagano povećati upotrebu CPU.", + "brands": { + "reolink-rtsp": "Reolink RTSP nije preporučen. Omogući HTTP u postavkama firmvera kamere i ponovo pokreni čarobnjaka.", + "reolink-http": "Reolink HTTP tokovi trebaju koristiti FFmpeg za bolju kompatibilnost. Omogući 'Korištenje režima kompatibilnosti tokova' za ovaj tok." + }, + "dahua": { + "substreamWarning": "Podstrujak 1 je zaključan na nisku rezoluciju. Mnoge kamere Dahua / Amcrest / EmpireTech podržavaju dodatne podstrujke koje treba omogućiti u postavkama kamere. Preporučuje se da ih provjerite i iskoristite ako su dostupne." + }, + "hikvision": { + "substreamWarning": "Podstrujak 1 je zaključan na nisku rezoluciju. Mnoge kamere Hikvision podržavaju dodatne podstrujke koje treba omogućiti u postavkama kamere. Preporučuje se da ih provjerite i iskoristite ako su dostupne." + } + } + } + }, + "cameraManagement": { + "title": "Upravljanje kamerama", + "addCamera": "Dodaj novu kameru", + "deleteCamera": "Obriši kameru", + "deleteCameraDialog": { + "title": "Obriši kameru", + "description": "Brisanje kamere trajno uklanja sve snimke, praćene objekte i konfiguraciju za tu kameru. Bilo bi potrebno ručno ukloniti sve go2rtc tokove povezane s ovom kamerom.", + "selectPlaceholder": "Izaberite kameru...", + "confirmTitle": "Sigurni ste?", + "confirmWarning": "Brisanje {{cameraName}} ne može se povući.", + "deleteExports": "Takođe obriši izvoze za ovu kameru", + "confirmButton": "Obriši trajno", + "success": "Kamera {{cameraName}} uspješno obrisana", + "error": "Neuspješno brisanje kamere {{cameraName}}" + }, + "editCamera": "Uredi kameru:", + "selectCamera": "Izaberite kameru", + "backToSettings": "Povratak na postavke kamere", + "streams": { + "title": "Omogući / Onemogući kamere", + "enableLabel": "Omogućene kamere", + "enableDesc": "Privremeno onemogući omogućenu kameru dok Frigate ne ponovo započne. Onemogućavanje kamere potpuno zaustavlja obradu tokova ove kamere od strane Frigate. Detekcija, snimanje i praćenje nedostat će.
    Napomena: Ovo ne onemogućava restreamove go2rtc.", + "disableLabel": "Onemogućene kamere", + "disableDesc": "Omogući kameru koja trenutno nije vidljiva u UI-ju i onemogućena u konfiguraciji. Potrebno je ponovno pokrenuti Frigate nakon omogućavanja.", + "enableSuccess": "Omogućena {{cameraName}} u konfiguraciji. Ponovno pokrenite Frigate da biste primijenili promjene.", + "friendlyName": { + "edit": "Uredi prikazano ime kamere", + "title": "Uredi prikazano ime", + "description": "Postavite prijateljsko ime koje će se prikazivati za ovu kameru kroz cijeli Frigate UI. Ostavite prazno da biste koristili ID kamere.", + "rename": "Preimenuj" + } + }, + "cameraConfig": { + "add": "Dodaj kameru", + "edit": "Uredi kameru", + "description": "Konfiguriraj postavke kamere uključujući ulazne tokove i uloge.", + "name": "Ime kamere", + "nameRequired": "Ime kamere je obavezno", + "nameLength": "Ime kamere mora imati manje od 64 znaka.", + "namePlaceholder": "npr. front_door ili Pregled zadnjeg dvorišta", + "enabled": "Omogućeno", + "ffmpeg": { + "inputs": "Ulazni tokovi", + "path": "Putanja toka", + "pathRequired": "Putanja toka je obavezna", + "pathPlaceholder": "rtsp://...", + "roles": "Uloge", + "rolesRequired": "Potrebna je bar jedna uloga", + "rolesUnique": "Svaka uloga (audio, detekcija, snimanje) može se dodijeliti samo jednom toku", + "addInput": "Dodaj ulazni tok", + "removeInput": "Ukloni ulazni tok", + "inputsRequired": "Potrebno je bar jedan ulazni tok" + }, + "go2rtcStreams": "go2rtc Tokovi", + "streamUrls": "URL-ovi tokova", + "addUrl": "Dodaj URL", + "addGo2rtcStream": "Dodaj go2rtc tok", + "toast": { + "success": "Kamera {{cameraName}} je uspješno sačuvana" + } + }, + "profiles": { + "title": "Prekrižavanja kamere profila", + "selectLabel": "Odaberi profil", + "description": "Konfigurirajte koje kamere su omogućene ili onemogućene kada je profil aktiviran. Kamere postavljene na \"Naslijeđivanje\" očuvaju svoje osnovno stanje omogućeno.", + "inherit": "Naslijeđivanje", + "enabled": "Omogućeno", + "disabled": "Onemogućeno" + }, + "cameraType": { + "title": "Tip kamere", + "label": "Tip kamere", + "description": "Postavite tip za svaku kameru. Posvećene LPR kamere su jednonamjenske kamere sa snažnim optičkim zumom za hvatanje registarskih tablica na udaljenim vozilima. Većina kamera treba koristiti normalan tip kamere, osim ako je kamera namjenski za LPR i ima usko fokusiran pogled na registarske tablice.", + "normal": "Normalna", + "dedicatedLpr": "Posvećena LPR", + "saveSuccess": "Tip kamere ažuriran za {{cameraName}}. Ponovo pokrenite Frigate da bi se promjene primijenile." + } + }, + "cameraReview": { + "title": "Postavke pregleda kamere", + "object_descriptions": { + "title": "Opisi objekata generativne AI", + "desc": "Privremeno omogući/onemogući opise objekata generativne AI za ovu kameru dok Frigate ne ponovo pokrene. Kada je onemogućeno, opisi generirani AI-om neće se tražiti za praćene objekte na ovoj kameri." + }, + "review_descriptions": { + "title": "Opisi pregleda generativne AI", + "desc": "Privremeno omogući/onemogući opise pregleda generativne AI za ovu kameru dok Frigate ne ponovo pokrene. Kada je onemogućeno, opisi generirani AI-om neće se tražiti za stavke pregleda na ovoj kameri." + }, + "review": { + "title": "Pregled", + "desc": "Privremeno omogući/onemogući upozorenja i detekcije za ovu kameru dok Frigate ne ponovo pokrene. Kada je onemogućeno, neće se generirati nove stavke pregleda. ", + "alerts": "Upozorenja ", + "detections": "Detekcije " + }, + "reviewClassification": { + "title": "Klasifikacija pregleda", + "desc": "Frigate klasificira stavke pregleda kao Upozorenja i Detekcije. Po defaultu, svi osobe i automobili objekti se smatraju Upozorenjima. Možete usavršiti klasifikaciju svojih stavki pregleda konfiguriranjem potrebnih zona za njih.", + "noDefinedZones": "Nema definiranih zona za ovu kameru.", + "objectAlertsTips": "Svi {{alertsLabels}} objekti na {{cameraName}} bit će prikazani kao Upozorenja.", + "zoneObjectAlertsTips": "Svi {{alertsLabels}} objekti detektirani u {{zone}} na {{cameraName}} bit će prikazani kao Upozorenja.", + "objectDetectionsTips": "Svi {{detectionsLabels}} objekti koji nisu kategorizirani na {{cameraName}} bit će prikazani kao Detekcije bez obzira na kojoj se zoni nalaze.", + "zoneObjectDetectionsTips": { + "text": "Svi {{detectionsLabels}} objekti koji nisu kategorizirani u {{zone}} na {{cameraName}} bit će prikazani kao Detekcije.", + "notSelectDetections": "Svi {{detectionsLabels}} objekti detektirani u {{zone}} na {{cameraName}} koji nisu kategorizirani kao Upozorenja bit će prikazani kao Detekcije bez obzira na kojoj se zoni nalaze.", + "regardlessOfZoneObjectDetectionsTips": "Svi {{detectionsLabels}} objekti koji nisu kategorizirani na {{cameraName}} bit će prikazani kao Detekcije bez obzira na koju zonu se nalaze." + }, + "unsavedChanges": "Nespremljene postavke klasifikacije pregleda za {{camera}}", + "selectAlertsZones": "Odaberite zone za Upozorenja", + "selectDetectionsZones": "Odaberite zone za Detekcije", + "limitDetections": "Ograničite detekcije na specifične zone", + "toast": { + "success": "Konfiguracija klasifikacije pregleda je sačuvana. Ponovo pokrenite Frigate da biste primijenili promjene." + } + } + }, + "masksAndZones": { + "filter": { + "all": "Svi Maski i Zone" + }, + "restart_required": "Potrebno je ponovo pokrenuti (maska/zone promijenjene)", + "disabledInConfig": "Stavka je onemogućena u datoteci konfiguracije", + "addDisabledProfile": "Prvo dodajte u osnovnu konfiguraciju, zatim prekrijte u profilu", + "profileBase": "(osnovna)", + "profileOverride": "(preklop)", + "toast": { + "success": { + "copyCoordinates": "Koordinate za {{polyName}} su kopirane u međuspremnik." + }, + "error": { + "copyCoordinatesFailed": "Nemoguće kopirati koordinate u međuspremnik." + } + }, + "motionMaskLabel": "Maska za pokret {{number}}", + "objectMaskLabel": "Maska za objekt {{number}}", + "form": { + "id": { + "error": { + "mustNotBeEmpty": "ID ne smije biti prazan.", + "alreadyExists": "Postoji maska s ovim ID-om za ovu kameru." + } + }, + "name": { + "error": { + "mustNotBeEmpty": "Ime ne smije biti prazno." + } + }, + "zoneName": { + "error": { + "mustBeAtLeastTwoCharacters": "Ime zone mora imati najmanje 2 karaktera.", + "mustNotBeSameWithCamera": "Ime zone ne smije biti isto kao ime kamere.", + "alreadyExists": "Postoji zona s ovim imenom za ovu kameru.", + "mustNotContainPeriod": "Ime zone ne smije sadržavati tačke.", + "hasIllegalCharacter": "Ime zone sadrži nedozvoljene znakove.", + "mustHaveAtLeastOneLetter": "Ime zone mora imati bar jedan slovo." + } + }, + "distance": { + "error": { + "text": "Rastojanje mora biti veće ili jednako 0.1.", + "mustBeFilled": "Sva polja za rastojanje moraju biti popunjena da biste koristili procjenu brzine." + } + }, + "inertia": { + "error": { + "mustBeAboveZero": "Inercija mora biti iznad 0." + } + }, + "loiteringTime": { + "error": { + "mustBeGreaterOrEqualZero": "Vrijeme loiteringa mora biti veće ili jednako 0." + } + }, + "speed": { + "error": { + "mustBeGreaterOrEqualTo": "Prag brzine mora biti veći ili jednak 0.1." + } + }, + "polygonDrawing": { + "type": { + "zone": "Zona", + "motion_mask": "maska pokreta", + "object_mask": "maska objekta" + }, + "removeLastPoint": "Ukloni posljednju tačku", + "reset": { + "label": "Obriši sve tačke" + }, + "snapPoints": { + "true": "Prilagodi tačke", + "false": "Ne prilagođavaj tačke" + }, + "delete": { + "title": "Potvrdi brisanje", + "desc": "Da li ste sigurni da želite izbrisati {{type}} {{name}}?", + "success": "{{name}} je izbrisan." + }, + "revertOverride": { + "title": "Povrati se na osnovnu konfiguraciju", + "desc": "Ovo će ukloniti preklop profila za {{type}} {{name}} i povrati se na osnovnu konfiguraciju." + }, + "error": { + "mustBeFinished": "Crtanje poligona mora se završiti prije spašavanja." + } + } + }, + "zones": { + "label": "Zone", + "documentTitle": "Uredi zonu - Frigate", + "desc": { + "title": "Zona omogućava da definirate specifičnu područje okvira da biste odredili je li objekt unutar određenog područja.", + "documentation": "Dokumentacija" + }, + "add": "Dodaj zonu", + "edit": "Uredi zonu", + "point_one": "{{count}} tačka", + "point_few": "{{count}} tačke", + "point_other": "{{count}} tačke", + "clickDrawPolygon": "Kliknite da nacrtate poligon na slici.", + "name": { + "title": "Ime", + "inputPlaceHolder": "Unesite ime…", + "tips": "Ime mora imati najmanje 2 karaktera, mora imati bar jedan slovo, i ne smije biti ime kamere ili druge zone na ovoj kameri." + }, + "enabled": { + "title": "Omogućeno", + "description": "Da li je ova zona aktivna i omogućena u konfiguracionoj datoteci. Ako je onemogućena, ne može se omogućiti putem MQTT. Onemogućene zone se zanemaruju u vremenu izvršavanja." + }, + "inertia": { + "title": "Inercija", + "desc": "Određuje koliko okvira mora objekt biti u zoni prije nego što se uzima u obzir u zoni. Podrazumevano: 3" + }, + "loiteringTime": { + "title": "Vrijeme loiteringa", + "desc": "Postavlja minimalno vrijeme u sekundama koje objekt mora biti u zoni da bi aktivirao. Zadano: 0" + }, + "objects": { + "title": "Objekti", + "desc": "Popis objekata koji se odnose na ovu zonu." + }, + "allObjects": "Svi objekti", + "speedEstimation": { + "title": "Procjena brzine", + "desc": "Omogući procjenu brzine za objekte u ovoj zoni. Zona mora imati točno 4 točke.", + "lineADistance": "Udaljenost linije A ({{unit}})", + "lineBDistance": "Udaljenost linije B ({{unit}})", + "lineCDistance": "Udaljenost linije C ({{unit}})", + "lineDDistance": "Udaljenost linije D ({{unit}})" + }, + "speedThreshold": { + "title": "Prag brzine ({{unit}})", + "desc": "Određuje minimalnu brzinu za objekte da bi se smatrali u ovoj zoni.", + "toast": { + "error": { + "pointLengthError": "Procjena brzine je onemogućena za ovu zonu. Zone s procjenom brzine moraju imati točno 4 točke.", + "loiteringTimeError": "Zone s vremenima trajanja većim od 0 ne bi trebale se koristiti s procjenom brzine." + } + } + }, + "toast": { + "success": "Zona ({{zoneName}}) je sačuvana." + } + }, + "motionMasks": { + "label": "Maska pokreta", + "documentTitle": "Uredi masku pokreta - Frigate", + "desc": { + "title": "Maska pokreta koristi se za spriječavanje neželjenih vrsta pokreta da aktiviraju detekciju. Prekrižavanje će napraviti teško praćenje objekata.", + "documentation": "Dokumentacija" + }, + "add": "Nova maska pokreta", + "edit": "Uredi masku pokreta", + "defaultName": "Maska pokreta {{number}}", + "context": { + "title": "Maska pokreta koristi se za spriječavanje neželjenih vrsta pokreta da aktiviraju detekciju (primjer: grančice stabala, vremenske oznake kamere). Maska pokreta treba se koristiti vrlo retko, prekrižavanje će napraviti teško praćenje objekata." + }, + "point_one": "{{count}} tačka", + "point_few": "{{count}} tačke", + "point_other": "{{count}} tačke", + "clickDrawPolygon": "Kliknite da nacrtate poligon na slici.", + "name": { + "title": "Ime", + "description": "Nepovlačni prijateljski naziv za ovu masku pokreta.", + "placeholder": "Unesite ime..." + }, + "polygonAreaTooLarge": { + "title": "Maska pokreta pokriva {{polygonArea}}% okvirnog slike kamere. Velike maske pokreta nisu preporučene.", + "tips": "Maska za pokret ne sprječava detekciju objekata. Umjesto toga, trebalo bi koristiti obaveznu zonu." + }, + "toast": { + "success": { + "title": "{{polygonName}} je sačuvan.", + "noName": "Maska za pokret je sačuvana." + } + } + }, + "objectMasks": { + "label": "Maska za objekte", + "documentTitle": "Uredi masku za objekte - Frigate", + "desc": { + "title": "Maska za filtriranje objekata koristi se za uklanjanje lažnih pozitivnih rezultata za određeni tip objekta na temelju lokacije.", + "documentation": "Dokumentacija" + }, + "add": "Dodaj masku za objekte", + "edit": "Uredi masku za objekte", + "context": "Maska za filtriranje objekata koristi se za uklanjanje lažnih pozitivnih rezultata za određeni tip objekta na temelju lokacije.", + "point_one": "{{count}} tačka", + "point_few": "{{count}} tačke", + "point_other": "{{count}} tačke", + "clickDrawPolygon": "Kliknite da nacrtate poligon na slici.", + "name": { + "title": "Ime", + "description": "Nepovlaženo prijateljivo ime za ovu masku za objekte.", + "placeholder": "Unesite ime..." + }, + "objects": { + "title": "Objekti", + "desc": "Tip objekta koji se odnosi na ovu masku za objekte.", + "allObjectTypes": "Svi tipovi objekata" + }, + "toast": { + "success": { + "title": "{{polygonName}} je sačuvan.", + "noName": "Maska za objekte je sačuvana." + } + } + }, + "masks": { + "enabled": { + "title": "Omogućeno", + "description": "Da li je ova maska omogućena u konfiguracijskoj datoteci. Ako je onemogućena, ne može se omogućiti putem MQTT. Onemogućene maske se zanemaruju tijekom izvršavanja." + } + } + }, + "motionDetectionTuner": { + "title": "Podešavač detekcije pokreta", + "unsavedChanges": "Nespremljene promjene podešavača detekcije pokreta ({{camera}})", + "desc": { + "title": "Frigate koristi detekciju pokreta kao prvi korak provjere da li se nešto događa u okviru vrijedno provjere pomoću detekcije objekata.", + "documentation": "Pročitajte vodič za podešavanje detekcije pokreta" + }, + "Threshold": { + "title": "Prag", + "desc": "Vrijednost pragodiktira koliko promjene u svjetlosnosti piksela je potrebno za razmatranje kao pokret. Default: 30" + }, + "contourArea": { + "title": "Površina kontura", + "desc": "Vrijednost površine kontura koristi se za odluku koja skupine promijenjenih piksela kvalificiraju kao pokret. Default: 10" + }, + "improveContrast": { + "title": "Poboljšaj kontrast", + "desc": "Poboljšaj kontrast za tamnije scene. Zadano: UKLJUČENO" + }, + "toast": { + "success": "Postavke pokreta su sačuvane." + } + }, + "debug": { + "title": "Uklanjanje grešaka", + "detectorDesc": "Frigate koristi vaše detektore ({{detectors}}) za detekciju objekata u vašem video toku kamere.", + "desc": "Pregled u režimu uklanjanja grešaka prikazuje stvarni pregled praćenih objekata i njihovih statistika. Lista objekata prikazuje zakasnjeni pregled detektovanih objekata.", + "openCameraWebUI": "Otvori Web UI {{camera}}", + "debugging": "Uklanjanje grešaka", + "objectList": "Popis objekata", + "noObjects": "Nema objekata", + "audio": { + "title": "Audio", + "noAudioDetections": "Nema detekcija zvuka", + "score": "poena", + "currentRMS": "Trenutni RMS", + "currentdbFS": "Trenutni dbFS" + }, + "boundingBoxes": { + "title": "Okvirne kutije", + "desc": "Prikaži okvirne kutije oko praćenih objekata", + "colors": { + "label": "Boje okvirnih kutija objekata", + "info": "
  • Na početku, različite boje će biti dodijeljene svakom oznaci objekta
  • Tanjira crna linija označava da objekt nije detektovan u ovom trenutku
  • Tanjira siva linija označava da objekt detektovan kao stacionaran
  • Deblja linija označava da je objekt subjekt automatskog praćenja (kada je omogućeno)
    • " + } + }, + "timestamp": { + "title": "Vremenski pečat", + "desc": "Prikazati vremenski pečat na slici" + }, + "zones": { + "title": "Zone", + "desc": "Prikaži konturu definisanih zona" + }, + "mask": { + "title": "Maska za pokret", + "desc": "Prikaži poligone maski za pokret" + }, + "motion": { + "title": "Kutije za pokret", + "desc": "Prikaži kutije oko područja gdje je detektovan pokret", + "tips": "

    Kutije za pokret


    Crvene kutije će biti prikazane na područjima okvira gdje se trenutno detektuje pokret

    " + }, + "regions": { + "title": "Regije", + "desc": "Prikaži kutiju područja interesa poslatog objektu detektora", + "tips": "

    Kutije regija


    Sjajno zelene kutije bit će preklopljene na područjima zanimanja u okviru koji se šalju detektoru objekata.

    " + }, + "paths": { + "title": "Putanje", + "desc": "Prikaži značajne točke putanje praćenog objekta", + "tips": "

    Putanje


    Linije i krugovi će pokazati značajne točke koje je praćeni objekt prešao tokom svojeg života.

    " + }, + "objectShapeFilterDrawing": { + "title": "Crtanje filtera oblika objekta", + "desc": "Nacrtaj pravokutnik na slici da bi pogledao detalje površine i omjera", + "tips": "Omogući ovu opciju da nacrtate pravokutnik na slici kamere da biste prikazali njegovu površinu i omjer. Ove vrijednosti zatim mogu se koristiti za postavljanje parametara filtera oblika objekta u vašoj konfiguraciji.", + "score": "Rezultat", + "ratio": "Omjer", + "area": "Površina" + } + }, + "timestampPosition": { + "tl": "Gornji lijevo", + "tr": "Gornji desno", + "bl": "Donji lijevo", + "br": "Donji desno" + }, + "users": { + "title": "Korisnici", + "management": { + "title": "Upravljanje korisnicima", + "desc": "Upravljajte računima korisnika ove instance Frigate." + }, + "addUser": "Dodaj korisnika", + "updatePassword": "Ponovno postavi lozinku", + "toast": { + "success": { + "createUser": "Korisnik {{user}} uspješno stvoren", + "deleteUser": "Korisnik {{user}} uspješno obrisan", + "updatePassword": "Lozinka uspješno ažurirana.", + "roleUpdated": "Uloga ažurirana za {{user}}" + }, + "error": { + "setPasswordFailed": "Neuspješno spremanje lozinke: {{errorMessage}}", + "createUserFailed": "Neuspješno stvaranje korisnika: {{errorMessage}}", + "deleteUserFailed": "Neuspješno brisanje korisnika: {{errorMessage}}", + "roleUpdateFailed": "Neuspješno ažuriranje uloge: {{errorMessage}}" + } + }, + "table": { + "username": "Korisničko ime", + "actions": "Akcije", + "role": "Uloga", + "noUsers": "Nema pronađenih korisnika.", + "changeRole": "Promijeni ulogu korisnika", + "password": "Ponovno postavi lozinku", + "deleteUser": "Obriši korisnika" + }, + "dialog": { + "form": { + "user": { + "title": "Korisničko ime", + "desc": "Dozvoljeno su samo slova, brojevi, tačke i donje crte.", + "placeholder": "Unesite korisničko ime" + }, + "password": { + "title": "Lozinka", + "placeholder": "Unesite lozinku", + "show": "Prikaži lozinku", + "hide": "Sakrij lozinku", + "confirm": { + "title": "Potvrdite lozinku", + "placeholder": "Potvrdite lozinku" + }, + "strength": { + "title": "Jakoća lozinke: ", + "weak": "Slaba", + "medium": "Srednja", + "strong": "Jaka", + "veryStrong": "Veoma jaka" + }, + "requirements": { + "title": "Zahtjevi za lozinku:", + "length": "Bar 12 karaktera" + }, + "match": "Lozinke se poklapaju", + "notMatch": "Lozinke se ne poklapaju" + }, + "newPassword": { + "title": "Nova lozinka", + "placeholder": "Unesite novu lozinku", + "confirm": { + "placeholder": "Ponovite novu lozinku" + } + }, + "currentPassword": { + "title": "Trenutna lozinka", + "placeholder": "Unesite svoju trenutnu lozinku" + }, + "usernameIsRequired": "Korisničko ime je obavezno", + "passwordIsRequired": "Lozinka je obavezna" + }, + "createUser": { + "title": "Kreirajte novog korisnika", + "desc": "Dodajte novi korisnički račun i odredite ulogu za pristup područjima sučelja Frigate.", + "usernameOnlyInclude": "Korisničko ime može sadržavati samo slova, brojeve, . ili _", + "confirmPassword": "Molimo potvrdite svoju lozinku" + }, + "deleteUser": { + "title": "Obriši korisnika", + "desc": "Ova akcija ne može se poništiti. Ovo će trajno izbrisati korisnički račun i ukloniti sve povezane podatke.", + "warn": "Sigurni ste da želite izbrisati {{username}}?" + }, + "passwordSetting": { + "cannotBeEmpty": "Lozinka ne može biti prazna", + "doNotMatch": "Lozinke se ne podudaraju", + "currentPasswordRequired": "Trenutna lozinka je obavezna", + "incorrectCurrentPassword": "Trenutna lozinka je netočna", + "passwordVerificationFailed": "Neuspješno provjeravanje lozinke", + "updatePassword": "Ažurirajte lozinku za {{username}}", + "setPassword": "Postavi lozinku", + "desc": "Napravite jaku lozinku za sigurnost ovog računa.", + "multiDeviceWarning": "Bilo koje druge uređaje na kojima ste prijavljeni bit će potrebno ponovno se prijaviti unutar {{refresh_time}}.", + "multiDeviceAdmin": "Takođe možete obavezati sve korisnike da se odmah ponovno autentificiraju rotiranjem vaše tajne JWT." + }, + "changeRole": { + "title": "Promijenite ulogu korisnika", + "select": "Odaberite ulogu", + "desc": "Ažurirajte dozvole za {{username}}", + "roleInfo": { + "intro": "Odaberite odgovarajuću ulogu za ovog korisnika:", + "admin": "Administrator", + "adminDesc": "Pun pristup svim funkcijama.", + "viewer": "Pregledač", + "viewerDesc": "Ograničeno na Uživo tablo, pregled, istraživanje i izvoze.", + "customDesc": "Prilagođena uloga s određenim pristupom kamerama." + } + } + } + }, + "roles": { + "management": { + "title": "Upravljanje ulogama gledatelja", + "desc": "Upravljajte prilagođenim ulogama gledatelja i njihovim dozvolama za pristup kamerama za ovu instancu Frigate." + }, + "addRole": "Dodaj ulogu", + "table": { + "role": "Uloga", + "cameras": "Kamere", + "actions": "Akcije", + "noRoles": "Nisu pronađene prilagođene uloge.", + "editCameras": "Uredi Kamere", + "deleteRole": "Obriši ulogu" + }, + "toast": { + "success": { + "createRole": "Uloga {{role}} uspješno stvorena", + "updateCameras": "Kamere ažurirane za ulogu {{role}}", + "deleteRole": "Uloga {{role}} uspješno obrisana", + "userRolesUpdated_one": "{{count}} korisnik dodeljen ovoj ulogi je ažuriran na 'viewer', koji ima pristup svim kamerama.", + "userRolesUpdated_few": "{{count}} korisnici dodeljeni ovoj ulogi su ažurirani na 'viewer', koji ima pristup svim kamerama.", + "userRolesUpdated_other": "{{count}} korisnici dodeljeni ovoj ulogi su ažurirani na 'viewer', koji ima pristup svim kamerama." + }, + "error": { + "createRoleFailed": "Neuspješno stvaranje uloge: {{errorMessage}}", + "updateCamerasFailed": "Neuspješno ažuriranje kamera: {{errorMessage}}", + "deleteRoleFailed": "Neuspješno brisanje uloge: {{errorMessage}}", + "userUpdateFailed": "Neuspješno ažuriranje uloga korisnika: {{errorMessage}}" + } + }, + "dialog": { + "createRole": { + "title": "Stvori novu ulogu", + "desc": "Dodaj novu ulogu i specifično odredi dozvole za pristup kamerama." + }, + "editCameras": { + "title": "Uredi kamere uloge", + "desc": "Ažuriraj pristup kamerama za ulogu {{role}}." + }, + "deleteRole": { + "title": "Obriši ulogu", + "desc": "Ova akcija ne može biti poništena. Ovo će trajno izbrisati ulogu i dodeliti sve korisnike s ovom ulogom ulogi 'viewer', što će im dati pristup svim kamerama.", + "warn": "Da li ste sigurni da želite izbrisati {{role}}?", + "deleting": "Brisanje..." + }, + "form": { + "role": { + "title": "Ime uloge", + "placeholder": "Unesite ime uloge", + "desc": "Dozvoljeno su samo slova, brojevi, tačke i donje crte.", + "roleIsRequired": "Ime uloge je obavezno", + "roleOnlyInclude": "Ime uloge može sadržavati samo slova, brojeve, . ili _", + "roleExists": "Uloga s ovim imenom već postoji." + }, + "cameras": { + "title": "Kamere", + "desc": "Odaberite kamere kojima ova uloga ima pristup. Potreban je bar jedan pristup.", + "required": "Mora biti odabrana bar jedna kamera." + } + } + } + }, + "notification": { + "title": "Obavještenja", + "notificationSettings": { + "title": "Postavke obavijesti", + "desc": "Frigate može nativno slati obavijesti na vaš uređaj kada radi u pregledaču ili je instalirana kao PWA." + }, + "notificationUnavailable": { + "title": "Obavijesti nedostupne", + "desc": "Web obavijesti zahtijevaju sigurni kontekst (https://…). Ovo je ograničenje pregledača. Pristupite Frigate sigurno da biste koristili obavijesti." + }, + "globalSettings": { + "title": "Globalne postavke", + "desc": "Privremeno zaustavi obavijesti za određene kamere na svim registrovanim uređajima." + }, + "email": { + "title": "E-mail", + "placeholder": "npr. example@email.com", + "desc": "Potrebna je važeća e-mail adresa i koristit će se za obavijestavanje ako dođe do problema sa uslugom slanja obavijesti." + }, + "cameras": { + "title": "Kamere", + "noCameras": "Nema dostupnih kamera", + "desc": "Odaberite koje kamere omogućiti za obavijesti." + }, + "deviceSpecific": "Postavke specifične za uređaj", + "registerDevice": "Registrujte ovaj uređaj", + "unregisterDevice": "Deregistrujte ovaj uređaj", + "sendTestNotification": "Pošaljite test obavijest", + "unsavedRegistrations": "Nečuvane registracije obavijesti", + "unsavedChanges": "Nečuvane promjene obavijesti", + "active": "Obavijesti aktivne", + "suspended": "Obavijesti zaustavljene {{time}}", + "suspendTime": { + "suspend": "Zaustavi", + "5minutes": "Zaustavi za 5 minuta", + "10minutes": "Zaustavi za 10 minuta", + "30minutes": "Zaustavi za 30 minuta", + "1hour": "Zaustavi za 1 sat", + "12hours": "Zaustavi za 12 sati", + "24hours": "Odložiti za 24 sata", + "untilRestart": "Odložiti do ponovnog pokretanja" + }, + "cancelSuspension": "Otkaži odloženje", + "toast": { + "success": { + "registered": "Uspješno registrovan za obaveštenja. Potrebno je ponovno pokrenuti Frigate prije nego što se mogu slati obaveštenja (uključujući test obaveštenje).", + "settingSaved": "Postavke obaveštenja su sačuvane." + }, + "error": { + "registerFailed": "Neuspješno sačuvana registracija obaveštenja." + } + } + }, + "frigatePlus": { + "title": "Postavke Frigate+", + "description": "Frigate+ je usluga pretplate koja pruža pristup dodatnim funkcijama i mogućnostima za vašu instancu Frigate, uključujući mogućnost korištenja prilagođenih modela detekcije objekata treniranih na vašim podacima. Ovdje možete upravljati postavkama modela Frigate+.", + "cardTitles": { + "api": "API", + "currentModel": "Trenutni model", + "otherModels": "Drugi modeli", + "configuration": "Konfiguracija" + }, + "apiKey": { + "title": "Frigate+ API ključ", + "validated": "Frigate+ API ključ je detektovan i validiran", + "notValidated": "Frigate+ API ključ nije detektovan ili nije validiran", + "desc": "Frigate+ API ključ omogućava integraciju sa uslugom Frigate+.", + "plusLink": "Pročitajte više o Frigate+" + }, + "snapshotConfig": { + "title": "Konfiguracija snimaka", + "desc": "Slanje na Frigate+ zahtijeva da su snimci omogućeni u vašoj konfiguraciji.", + "cleanCopyWarning": "Neki uređaji imaju isključene snimke", + "table": { + "camera": "Kamera", + "snapshots": "Snimci" + } + }, + "modelInfo": { + "title": "Informacije o modelu", + "modelType": "Tip modela", + "trainDate": "Datum treniranja", + "baseModel": "Osnovni model", + "plusModelType": { + "baseModel": "Osnovni model", + "userModel": "Podeseno" + }, + "supportedDetectors": "Podržani detektori", + "cameras": "Kamere", + "loading": "Učitavanje informacija o modelu…", + "error": "Neuspješno učitavanje informacija o modelu", + "availableModels": "Dostupni modeli", + "loadingAvailableModels": "Učitavanje dostupnih modela…", + "modelSelect": "Vaši dostupni modeli na Frigate+ mogu se odabrati ovdje. Napomena: samo modeli kompatibilni s vašom trenutnom konfiguracijom detektora mogu se odabrati." + }, + "unsavedChanges": "Nespremljene promjene postavki Frigate+", + "restart_required": "Potrebno je ponovno pokretanje (model Frigate+ promijenjen)", + "toast": { + "success": "Postavke Frigate+ su spremljene. Ponovno pokrenite Frigate da biste primijenili promjene.", + "error": "Nije uspješno sačuvana promjena konfiguracije: {{errorMessage}}" + } + }, + "detectionModel": { + "plusActive": { + "title": "Upravljanje modelima Frigate+", + "label": "Trenutni izvor modela", + "description": "Ova instanca pokreće model Frigate+. Odaberite ili promijenite svoj model u postavkama Frigate+.", + "goToFrigatePlus": "Idi na postavke Frigate+", + "showModelForm": "Ručno konfigurirajte model" + } + }, + "triggers": { + "documentTitle": "Pokretači", + "semanticSearch": { + "title": "Semantička pretraga je onemogućena", + "desc": "Semantička pretraga mora biti omogućena da biste koristili izazivače." + }, + "management": { + "title": "Pokretači", + "desc": "Upravljanje izazivačima za {{camera}}. Korištenjem tipa prikaznog slika, izazivači se mogu aktivirati za slične prikazne slike odabranom praćenom objektu, a tipom opisa za slične opise teksta koji navodite." + }, + "addTrigger": "Dodaj izazivač", + "table": { + "name": "Ime", + "type": "Tip", + "content": "Sadržaj", + "threshold": "Prag", + "actions": "Akcije", + "noTriggers": "Nema konfiguriranih izazivača za ovu kameru.", + "edit": "Uredi", + "deleteTrigger": "Obriši izazivač", + "lastTriggered": "Zadnji put izazvan" + }, + "type": { + "thumbnail": "Minijatura", + "description": "Opis" + }, + "actions": { + "notification": "Pošalji obavijest", + "sub_label": "Dodaj podnaziv", + "attribute": "Dodaj atribut" + }, + "dialog": { + "createTrigger": { + "title": "Kreiraj izazov", + "desc": "Kreiraj izazov za kameru {{camera}}" + }, + "editTrigger": { + "title": "Uredi izazov", + "desc": "Uredi postavke za izazov na kameri {{camera}}" + }, + "deleteTrigger": { + "title": "Obriši izazov", + "desc": "Da li ste sigurni da želite obrisati izazov {{triggerName}}? Ova akcija ne može biti poništena." + }, + "form": { + "name": { + "title": "Ime", + "placeholder": "Daj ime ovom izazovu", + "description": "Unesite jedinstveno ime ili opis da biste identifikovali ovaj izazov", + "error": { + "minLength": "Polje mora imati najmanje 2 karaktera.", + "invalidCharacters": "Polje može sadržavati samo slova, brojeve, donje crte i crte.", + "alreadyExists": "Izazov sa ovim imenom već postoji za ovu kameru." + } + }, + "enabled": { + "description": "Omogući ili onemogući ovaj izazov" + }, + "type": { + "title": "Tip", + "placeholder": "Odaberite vrstu izazova", + "description": "Izazov kada se detektuje opis sličnog praćenog objekta", + "thumbnail": "Izazov kada se detektuje minijaturna slika sličnog praćenog objekta" + }, + "content": { + "title": "Sadržaj", + "imagePlaceholder": "Odaberite minijaturnu sliku", + "textPlaceholder": "Unesite tekstualni sadržaj", + "imageDesc": "Prikazivaju se samo najnovije 100 minijaturnih slika. Ako ne možete pronaći željenu minijaturnu sliku, pregledajte ranije objekte u Pretraživanju i postavite izazov iz menija tamo.", + "textDesc": "Unesite tekst za izazivanje ove akcije kada se detektuje opis sličnog praćenog objekta.", + "error": { + "required": "Sadržaj je obavezan." + } + }, + "threshold": { + "title": "Prag", + "desc": "Postavite prag sličnosti za ovaj izazov. Viši prag znači da je potrebno bliže podudaranje da bi se izazov aktivirao.", + "error": { + "min": "Prag mora biti bar 0", + "max": "Prag mora biti najviše 1" + } + }, + "actions": { + "title": "Akcije", + "desc": "Po defaultu, Frigate šalje poruku MQTT za sve izazovnike. Podnošnici dodaju ime izazovnog događaja u oznaku objekta. Atributi su pretraživi metapodaci pohranjeni zasebno u metapodacima praćenih objekata.", + "error": { + "min": "Mora se odabrati bar jedna akcija." + } + } + } + }, + "wizard": { + "title": "Kreiraj izazov", + "step1": { + "description": "Konfiguriraj osnovne postavke za tvoj izazov." + }, + "step2": { + "description": "Postavi sadržaj koji će izazvati ovu akciju." + }, + "step3": { + "description": "Konfiguriraj prag i akcije za ovaj izazov." + }, + "steps": { + "nameAndType": "Ime i Tip", + "configureData": "Konfiguriraj podatke", + "thresholdAndActions": "Prag i Akcije" + } + }, + "toast": { + "success": { + "createTrigger": "Izazov {{name}} uspješno kreiran.", + "updateTrigger": "Izazov {{name}} uspješno ažuriran.", + "deleteTrigger": "Izazov {{name}} uspješno obrisan." + }, + "error": { + "createTriggerFailed": "Neuspješno kreiranje izazova: {{errorMessage}}", + "updateTriggerFailed": "Neuspješno ažuriranje izazova: {{errorMessage}}", + "deleteTriggerFailed": "Neuspješno brisanje izazova: {{errorMessage}}" + } + } + }, + "maintenance": { + "title": "Održavanje", + "sync": { + "title": "Sinkronizacija medija", + "desc": "Frigate će periodično čistiti medije prema regularnom rasporedu u skladu s vašom konfiguracijom retencije. Normalno je da se vidi nekoliko orfaniranih datoteka dok Frigate radi. Koristite ovu funkciju za uklanjanje orfaniranih datoteka medija s diska koje više nisu referencirane u bazi podataka.", + "started": "Sinkronizacija započeta.", + "alreadyRunning": "Postoji već pokrenuta poslovna jedinica", + "error": "Neuspješno pokretanje sinkronizacije", + "currentStatus": "Status", + "jobId": "ID posla", + "startTime": "Vrijeme početka", + "endTime": "Vrijeme kraja", + "statusLabel": "Status", + "results": "Rezultati", + "errorLabel": "Greška", + "mediaTypes": "Tipovi medija", + "allMedia": "Svi mediji", + "dryRun": "Sušenje", + "dryRunEnabled": "Nijedna datoteka neće biti obrisana", + "dryRunDisabled": "Datoteke će biti obrisane", + "force": "Silovito", + "forceDesc": "Preskočiti prag sigurnosti i završiti sinkronizaciju čak i ako bi više od 50% datoteka bilo obrisano.", + "verbose": "Detaljan", + "verboseDesc": "Napisati pun popis siročića na disk za pregled.", + "running": "Sinkronizacija u toku...", + "start": "Pokreni sinkronizaciju", + "inProgress": "Sinkronizacija je u toku. Ova stranica je onemogućena.", + "status": { + "queued": "U redu", + "running": "Pokretanje", + "completed": "Završeno", + "failed": "Neuspešno", + "notRunning": "Nije u toku" + }, + "resultsFields": { + "filesChecked": "Provjerene datoteke", + "orphansFound": "Nađeni siročići", + "orphansDeleted": "Obrisani siročići", + "aborted": "Prekinuto. Brisanje bi premašilo prag sigurnosti.", + "error": "Greška", + "totals": "Ukupno" + }, + "event_snapshots": "Snimci praćenih objekata", + "event_thumbnails": "Minijature praćenih objekata", + "review_thumbnails": "Pregled minijatura", + "previews": "Pregledi", + "exports": "Izvozi", + "recordings": "Snimci" + }, + "regionGrid": { + "title": "Mreža regija", + "desc": "Mreža regija je optimizacija koja uči gdje se objekti različitih veličina obično pojavljuju u svakoj kamere polju pogleda. Frigate koristi ove podatke da učinkovito postavi regije detekcije. Mreža se automatski gradi tokom vremena iz podataka o praćenim objektima.", + "clear": "Očisti rešetku područja", + "clearConfirmTitle": "Očisti Rešetku Područja", + "clearConfirmDesc": "Očišćavanje rešetke područja nije preporučeno osim ako ste nedavno promijenili veličinu modela detektora ili promijenili fizičku poziciju kamere i imate probleme s praćenjem objekata. Rešetka će se automatski ponovno izgraditi tokom vremena kada se objekti praćuju. Potreban je ponovni pokretanje Frigate-a za primjenu promjena.", + "clearSuccess": "Rešetka područja uspješno očišćena", + "clearError": "Neuspješno očišćavanje rešetke područja", + "restartRequired": "Potreban je ponovni pokretanje za primjenu promjena rešetke područja" + } + }, + "configForm": { + "global": { + "title": "Globalne postavke", + "description": "Ove postavke se primjenjuju na sve kamere osim ako nisu prekrivene u postavkama specifičnim za kameru." + }, + "camera": { + "title": "Postavke kamere", + "description": "Ove postavke se primjenjuju samo na ovu kameru i prekrivaju globalne postavke.", + "noCameras": "Nema dostupnih kamera" + }, + "advancedSettingsCount": "Napredne postavke ({{count}})", + "advancedCount": "Napredno ({{count}})", + "showAdvanced": "Prikaži napredne postavke", + "tabs": { + "sharedDefaults": "Dijeljene zadane vrijednosti", + "system": "Sistem", + "integrations": "Integracije" + }, + "additionalProperties": { + "keyLabel": "Ključ", + "valueLabel": "Vrijednost", + "keyPlaceholder": "Novi ključ", + "remove": "Ukloni" + }, + "knownPlates": { + "namePlaceholder": "npr. Automobil supružnice", + "platePlaceholder": "Broj ploče ili regex" + }, + "timezone": { + "defaultOption": "Koristi vremensku zonu pregledača" + }, + "roleMap": { + "empty": "Nema mapiranja uloga", + "roleLabel": "Uloga", + "groupsLabel": "Grupe", + "addMapping": "Dodaj mapiranje uloga", + "remove": "Ukloni" + }, + "ffmpegArgs": { + "preset": "Predefinisana postavka", + "manual": "Ručni argumenti", + "inherit": "Naslijeđuj iz postavke kamere", + "none": "Nijedan", + "useGlobalSetting": "Naslijeđuj iz globalne postavke", + "selectPreset": "Odaberite predpostavljeno", + "manualPlaceholder": "Unesite argumente FFmpeg", + "presetLabels": { + "preset-rpi-64-h264": "Raspberry Pi (H.264)", + "preset-rpi-64-h265": "Raspberry Pi (H.265)", + "preset-vaapi": "VAAPI (Intel/AMD GPU)", + "preset-intel-qsv-h264": "Intel QuickSync (H.264)", + "preset-intel-qsv-h265": "Intel QuickSync (H.265)", + "preset-nvidia": "NVIDIA GPU", + "preset-jetson-h264": "NVIDIA Jetson (H.264)", + "preset-jetson-h265": "NVIDIA Jetson (H.265)", + "preset-rkmpp": "Rockchip RKMPP", + "preset-http-jpeg-generic": "HTTP JPEG (Općenito)", + "preset-http-mjpeg-generic": "HTTP MJPEG (Općenito)", + "preset-http-reolink": "HTTP - Kamere Reolink", + "preset-rtmp-generic": "RTMP (Općenito)", + "preset-rtsp-generic": "RTSP (Općenito)", + "preset-rtsp-restream": "RTSP - Ponovno preusmjeravanje iz go2rtc", + "preset-rtsp-restream-low-latency": "RTSP - Ponovno preusmjeravanje iz go2rtc (Niska kašnjenja)", + "preset-rtsp-udp": "RTSP - UDP", + "preset-rtsp-blue-iris": "RTSP - Blue Iris", + "preset-record-generic": "Snimanje (Općenito, bez zvuka)", + "preset-record-generic-audio-copy": "Snimanje (Općenito + Kopiraj zvuk)", + "preset-record-generic-audio-aac": "Snimanje (Općenito + Zvuk u AAC)", + "preset-record-mjpeg": "Snimanje - Kamere MJPEG", + "preset-record-jpeg": "Snimanje - JPEG Kamere", + "preset-record-ubiquiti": "Snimanje - Ubiquiti Kamere" + } + }, + "cameraInputs": { + "itemTitle": "Prijenos {{index}}" + }, + "restartRequiredField": "Potrebno je ponovno pokretanje", + "restartRequiredFooter": "Konfiguracija promijenjena - Potrebno je ponovno pokretanje", + "sections": { + "detect": "Detekcija", + "record": "Snimanje", + "snapshots": "Snimci", + "motion": "Kretanje", + "objects": "Objekti", + "review": "Pregled", + "audio": "Audio", + "notifications": "Obavještenja", + "live": "Pregled uživo", + "timestamp_style": "Vremenske oznake", + "mqtt": "MQTT", + "database": "Baza podataka", + "telemetry": "Telemetrija", + "auth": "Autentifikacija", + "tls": "TLS", + "proxy": "Proxy", + "go2rtc": "go2rtc", + "ffmpeg": "FFmpeg", + "detectors": "Detektori", + "model": "Model", + "semantic_search": "Semantička pretraga", + "genai": "GenAI", + "face_recognition": "Prepoznavanje lica", + "lpr": "Prepoznavanje tablice vozila", + "birdseye": "Birdseye", + "masksAndZones": "Maskice / Zone" + }, + "detect": { + "title": "Postavke detekcije" + }, + "detectors": { + "title": "Postavke detektora", + "singleType": "Dozvoljen je samo jedan {{type}} detektor.", + "keyRequired": "Ime detektora je obavezno.", + "keyDuplicate": "Ime detektora već postoji.", + "noSchema": "Nema dostupnih šema detektora.", + "none": "Nema konfiguriranih instanci detektora.", + "add": "Dodaj detektor", + "addCustomKey": "Dodaj prilagođeni ključ" + }, + "record": { + "title": "Postavke snimanja" + }, + "snapshots": { + "title": "Postavke snimka" + }, + "motion": { + "title": "Postavke pokreta" + }, + "objects": { + "title": "Postavke objekta" + }, + "audioLabels": { + "summary": "Odabrano {{count}} audio oznake", + "empty": "Nema dostupnih audio oznaka" + }, + "objectLabels": { + "summary": "Odabrano {{count}} tipova objekata", + "empty": "Nema dostupnih oznaka objekata" + }, + "reviewLabels": { + "summary": "Odabrano {{count}} oznaka", + "empty": "Nema dostupnih oznaka" + }, + "filters": { + "objectFieldLabel": "{{field}} za {{label}}" + }, + "zoneNames": { + "summary": "{{count}} odabrano", + "empty": "Nema dostupnih zona" + }, + "inputRoles": { + "summary": "Odabrano {{count}} uloga", + "empty": "Nema dostupnih uloga", + "options": { + "detect": "Detektiraj", + "record": "Snimi", + "audio": "Audio" + } + }, + "genaiRoles": { + "options": { + "embeddings": "Ugrađivanje", + "vision": "Vizija", + "tools": "Alati" + } + }, + "semanticSearchModel": { + "placeholder": "Odaberi model…", + "builtIn": "Ugrađeni modeli", + "genaiProviders": "Dostavljatelji GenAI" + }, + "review": { + "title": "Pregled postavki" + }, + "audio": { + "title": "Postavke audija" + }, + "notifications": { + "title": "Postavke obavijesti" + }, + "live": { + "title": "Postavke pregleda uživo" + }, + "timestamp_style": { + "title": "Postavke vremenske oznake" + }, + "searchPlaceholder": "Pretraži...", + "addCustomLabel": "Dodaj prilagođenu oznaku...", + "genaiModel": { + "placeholder": "Odaberi model…", + "search": "Pretraži modele…", + "noModels": "Nema dostupnih modela" + } + }, + "globalConfig": { + "title": "Globalna konfiguracija", + "description": "Konfigurirajte globalne postavke koje se primjenjuju na sve kamere osim ako nisu prekriveni.", + "toast": { + "success": "Globalne postavke uspješno sačuvane", + "error": "Neuspješno spremanje globalnih postavki", + "validationError": "Validacija neuspješna" + } + }, + "cameraConfig": { + "title": "Konfiguracija kamere", + "description": "Konfigurirajte postavke za pojedinačne kamere. Postavke prekrivaju globalne podrazumijevane vrijednosti.", + "overriddenBadge": "Preklopljeno", + "resetToGlobal": "Vrati na globalno", + "toast": { + "success": "Postavke kamere uspješno sačuvane", + "error": "Neuspješno spremanje postavki kamere" + } + }, + "toast": { + "success": "Postavke uspješno sačuvane", + "applied": "Postavke uspješno primijenjene", + "successRestartRequired": "Postavke uspješno sačuvane. Ponovo pokrenite Frigate da biste primijenili svoje promjene.", + "error": "Neuspješno spremanje postavki", + "validationError": "Validacija neuspješna: {{message}}", + "resetSuccess": "Poništi i vratiti se na globalne podrazumijevane vrijednosti", + "resetError": "Neuspješno poništavanje postavki", + "saveAllSuccess_one": "Uspješno sačuvan odjeljak {{count}}.", + "saveAllSuccess_few": "Svi odjeljci {{count}} uspješno sačuvani.", + "saveAllSuccess_other": "Svi odjeljci {{count}} uspješno sačuvani.", + "saveAllPartial_one": "{{successCount}} od {{totalCount}} odjeljka sačuvan. {{failCount}} neuspješno.", + "saveAllPartial_few": "{{successCount}} od {{totalCount}} odjeljaka sačuvanih. {{failCount}} neuspješno.", + "saveAllPartial_other": "{{successCount}} od {{totalCount}} odjeljaka sačuvanih. {{failCount}} neuspješno.", + "saveAllFailure": "Neuspješno spremanje svih odjeljaka." + }, + "profiles": { + "title": "Profili", + "activeProfile": "Aktivni profil", + "noActiveProfile": "Nema aktivnog profila", + "active": "Aktivno", + "activated": "Profil '{{profile}}' aktiviran", + "activateFailed": "Neuspješno postavljanje profila", + "deactivated": "Profil deaktiviran", + "noProfiles": "Nema definisanih profila.", + "noOverrides": "Nema prekriženja", + "cameraCount_one": "kamera {{count}}", + "cameraCount_few": "{{count}} kamere", + "cameraCount_other": "{{count}} kamere", + "columnCamera": "Kamera", + "columnOverrides": "Prekriženja profila", + "baseConfig": "Bazna konfiguracija", + "addProfile": "Dodaj profil", + "newProfile": "Novi profil", + "profileNamePlaceholder": "npr. Opremljen, Odsutan, Noćni režim", + "friendlyNameLabel": "Ime profila", + "profileIdLabel": "ID profila", + "profileIdDescription": "Unutarnji identifikator korišten u konfiguraciji i automatizacijama", + "nameInvalid": "Dozvoljena su samo mala slova, brojevi i donje crte", + "nameDuplicate": "Profil s ovim imenom već postoji", + "error": { + "mustBeAtLeastTwoCharacters": "Mora imati najmanje 2 karaktera", + "mustNotContainPeriod": "Ne smije sadržavati tačke", + "alreadyExists": "Profil s ovim ID-om već postoji" + }, + "renameProfile": "Preimenuj profil", + "renameSuccess": "Profil preimenovan u '{{profile}}'", + "deleteProfile": "Obriši profil", + "deleteProfileConfirm": "Obriši profil \"{{profile}}\" sa svih kamera? Ovo ne može biti poništeno.", + "deleteSuccess": "Profil '{{profile}}' obrisan", + "createSuccess": "Profil '{{profile}}' kreiran", + "removeOverride": "Ukloni prekrivanje profila", + "deleteSection": "Izbriši prekrivanja sekcije", + "deleteSectionConfirm": "Ukloni prekrivanja {{section}} za profil {{profile}} na {{camera}}?", + "deleteSectionSuccess": "Uklonjena prekrivanja {{section}} za {{profile}}", + "enableSwitch": "Omogući profile", + "enabledDescription": "Profilei su omogućeni. Napravite novi profil ispod, pređite na sekciju konfiguracije kamere da biste napravili promjene i sačuvajte da bi promjene bile primijenjene.", + "disabledDescription": "Profilei vam omogućavaju da definirate imenovane skupove prekrivanja konfiguracije kamere (npr., opremljen, odsutan, noć) koji se mogu aktivirati na zahtjev." + }, + "unsavedChanges": "Imate nepohranjene promjene", + "confirmReset": "Potvrdi ponovno postavljanje", + "resetToDefaultDescription": "Ovo će ponovno postaviti sve postavke u ovoj sekciji na svoje zadane vrijednosti. Ova akcija ne može se povući.", + "resetToGlobalDescription": "Ovo će ponovno postaviti postavke u ovoj sekciji na globalne zadane vrijednosti. Ova akcija ne može se povući.", + "go2rtcStreams": { + "title": "go2rtc streamovi", + "description": "Upravljajte konfiguracijama go2rtc streamova za ponovno praćenje kamere. Svaki stream ima ime i jednu ili više izvornih URL-ova.", + "addStream": "Dodaj stream", + "addStreamDesc": "Unesite ime za novi stream. Ovo ime će se koristiti za referenciranje streama u vašoj konfiguraciji kamere.", + "addUrl": "Dodaj URL", + "streamName": "Ime streama", + "streamNamePlaceholder": "npr., front_door", + "streamUrlPlaceholder": "npr., rtsp://user:pass@192.168.1.100/stream", + "deleteStream": "Izbriši stream", + "deleteStreamConfirm": "Sigurni ste da želite izbrisati stream \"{{streamName}}\"? Kamere koje se referiraju na ovaj stream mogu prestati da rade.", + "noStreams": "Nema konfiguriranih go2rtc streamova. Dodajte stream da biste započeli.", + "validation": { + "nameRequired": "Ime streama je obavezno", + "nameDuplicate": "Stream s ovim imenom već postoji", + "nameInvalid": "Ime streama može sadržavati samo slova, brojeve, donje crte i crte za odvajanje", + "urlRequired": "Potrebna je bar jedna URL adresa" + }, + "renameStream": "Preimenuj tok", + "renameStreamDesc": "Unesite novi naziv za ovaj tok. Preimenovanje toka može oštetiti kamere ili druge toke koji se reference na njega po nazivu.", + "newStreamName": "Novi naziv toka", + "ffmpeg": { + "useFfmpegModule": "Koristi režim kompatibilnosti (ffmpeg)", + "video": "Video", + "audio": "Audio", + "hardware": "Hardverska ubrzanja", + "videoCopy": "Kopiraj", + "videoH264": "Prevedi na H.264", + "videoH265": "Prevedi na H.265", + "videoExclude": "Izuzmi", + "audioCopy": "Kopiraj", + "audioAac": "Prevedi na AAC", + "audioOpus": "Prevedi na Opus", + "audioPcmu": "Prevedi na PCM μ-law", + "audioPcma": "Prevedi na PCM A-law", + "audioPcm": "Prevedi na PCM", + "audioMp3": "Prevedi na MP3", + "audioExclude": "Izuzmi", + "hardwareNone": "Bez hardverske ubrzanja", + "hardwareAuto": "Automatska hardverska ubrzanja" + } + }, + "onvif": { + "profileAuto": "Automatski", + "profileLoading": "Učitavanje profila..." + }, + "configMessages": { + "review": { + "recordDisabled": "Snimanje je onemogućeno, stavke za pregled neće biti generisane.", + "detectDisabled": "Detekcija objekata je onemogućena. Stavke za pregled zahtijevaju detektovane objekte za kategorizaciju upozorenja i detekcija.", + "allNonAlertDetections": "Sve aktivnosti koje nisu upozorenja bit će uključene kao detekcije." + }, + "audio": { + "noAudioRole": "Nijedan tok nema definisan ulogu zvuka. Morate omogućiti ulogu zvuka da bi detekcija zvuka mogla da funkcioniše." + }, + "audioTranscription": { + "audioDetectionDisabled": "Detekcija zvuka nije omogućena za ovu kameru. Transkripcija zvuka zahtijeva da detekcija zvuka bude aktivna." + }, + "detect": { + "fpsGreaterThanFive": "Postavljanje vrijednosti detect FPS veće od 5 nije preporučljivo. Veće vrijednosti mogu uzrokovati probleme s performansama i neće pružiti nikakvu korist." + }, + "faceRecognition": { + "globalDisabled": "Prepoznavanje lica nije omogućeno na globalnom nivou. Omogućite ga u Obogaćivanjima da bi prepoznavanje lica na nivou kamere funkcioniralo.", + "personNotTracked": "Prepoznavanje lica zahtijeva da se objekat 'osoba' praći. Osigurajte da je 'osoba' u listi praćenja objekata." + }, + "lpr": { + "globalDisabled": "Prepoznavanje registarskih tablica nije omogućeno na globalnom nivou. Omogućite ga u Obogaćivanjima da bi LPR na nivou kamere funkcionirao.", + "vehicleNotTracked": "Prepoznavanje tablice zahtijeva da se praći 'automobil' ili 'motocikl'." + }, + "record": { + "noRecordRole": "Nema streamova koji imaju definisanu ulogu snimanja. Snimanje neće funkcionišati." + }, + "birdseye": { + "objectsModeDetectDisabled": "Birdseye je postavljen na režim 'objekti', ali je detekcija objekata onemogućena za ovu kameru. Kamera neće biti prikazana u Birdseye." + }, + "snapshots": { + "detectDisabled": "Detekcija objekata je onemogućena. Snimci se generišu iz praćenih objekata i neće biti kreirani." + }, + "detectors": { + "mixedTypes": "Svi detektori moraju koristiti isti tip. Uklonite postojet će detektore da biste koristili drugi tip.", + "mixedTypesSuggestion": "Svi detektori moraju koristiti isti tip. Uklonite postojet će detektore ili izaberite {{type}}." + } + } +} diff --git a/web/public/locales/bs/views/system.json b/web/public/locales/bs/views/system.json new file mode 100644 index 0000000000..b36221ec36 --- /dev/null +++ b/web/public/locales/bs/views/system.json @@ -0,0 +1,256 @@ +{ + "documentTitle": { + "cameras": "Statistika kamere - Frigate", + "storage": "Statistika skladišta - Frigate", + "general": "Opća statistika - Frigate", + "enrichments": "Statistika bogatstva - Frigate", + "logs": { + "frigate": "Zapisi Frigate - Frigate", + "go2rtc": "Zapisi Go2RTC - Frigate", + "nginx": "Zapisi Nginx - Frigate", + "websocket": "Zapisi poruka - Frigate" + } + }, + "title": "Sistem", + "metrics": "Sistem metrike", + "logs": { + "websocket": { + "label": "Zapisi", + "pause": "Pauziraj", + "resume": "Nastavi", + "clear": "Očisti", + "filter": { + "all": "Svi temi", + "topics": "Teme", + "events": "Događaji", + "reviews": "Pregledi", + "classification": "Klasifikacija", + "face_recognition": "Prepoznavanje lica", + "lpr": "LPR", + "camera_activity": "Aktivnost kamere", + "system": "Sistem", + "camera": "Kamera", + "all_cameras": "Sve kamere", + "cameras_count_one": "{{count}} Kamera", + "cameras_count_other": "{{count}} Kamere" + }, + "empty": "Nema još prihvaćenih poruka", + "count_one": "{{count}} poruka", + "count_other": "{{count}} poruke", + "expanded": { + "payload": "Opterećenje" + } + }, + "download": { + "label": "Preuzimanje zapisa" + }, + "copy": { + "label": "Kopiraj u clipboard", + "success": "Zapisi su kopirani u clipboard", + "error": "Nije moguće kopirati zapise u clipboard" + }, + "type": { + "label": "Tip", + "timestamp": "Vremenski pečat", + "tag": "Oznaka", + "message": "Poruka" + }, + "tips": "Zapisi se prenose sa servera", + "toast": { + "error": { + "fetchingLogsFailed": "Greška prilikom preuzimanja zapisa: {{errorMessage}}", + "whileStreamingLogs": "Greška prilikom prijenosa protokola: {{errorMessage}}" + } + } + }, + "general": { + "title": "Općenito", + "detector": { + "title": "Detektori", + "inferenceSpeed": "Brzina zaključivanja detektora", + "temperature": "Temperatura detektora", + "cpuUsage": "Korištenje CPU detektora", + "cpuUsageInformation": "CPU korištena za pripremu ulaznih i izlaznih podataka za/iz modela detekcije. Ova vrijednost ne mjeri korištenje zaključivanja, čak i ako se koristi GPU ili ubrzivač.", + "memoryUsage": "Korištenje memorije detektora" + }, + "hardwareInfo": { + "title": "Hardverske informacije", + "gpuUsage": "Korištenje GPU", + "gpuMemory": "Memorija GPU", + "gpuEncoder": "Kodiralo GPU", + "gpuCompute": "GPU Izračunavanje / Kodiranje", + "gpuDecoder": "Dekodiranje GPU", + "gpuTemperature": "Temperatura GPU", + "gpuInfo": { + "vainfoOutput": { + "title": "Vainfo Izlaz", + "returnCode": "Kod povratka: {{code}}", + "processOutput": "Izlaz procesa:", + "processError": "Greška procesa:" + }, + "nvidiaSMIOutput": { + "title": "Nvidia SMI Izlaz", + "name": "Ime: {{name}}", + "driver": "Vozač: {{driver}}", + "cudaComputerCapability": "CUDA sposobnost izračunavanja: {{cuda_compute}}", + "vbios": "VBios informacije: {{vbios}}" + }, + "closeInfo": { + "label": "Zatvori informacije GPU" + }, + "copyInfo": { + "label": "Kopiraj informacije GPU" + }, + "toast": { + "success": "Kopirano informacije GPU u međuspremnik" + } + }, + "npuUsage": "Korišćenje NPU", + "npuMemory": "Memorija NPU", + "npuTemperature": "Temperatura NPU", + "intelGpuWarning": { + "title": "Upozorenje o statistikama Intel GPU", + "message": "Statistike GPU nedostupne", + "description": "Ovo je poznati bug u alatima za prikaz statistika Intel GPU (intel_gpu_top) gdje će se prekiniti i ponovo vratiti GPU korišćenje od 0% čak i u slučajevima kada se hardverska akceleracija i detekcija objekata ispravno izvršavaju na (i)GPU. Ovo nije bug Frigate. Možete ponovo pokrenuti host kako biste privremeno popravili problem i potvrdili da GPU radi ispravno. Ovo ne utiče na performanse." + } + }, + "otherProcesses": { + "title": "Drugi procesi", + "processCpuUsage": "Korišćenje CPU procesa", + "processMemoryUsage": "Korišćenje memorije procesa", + "series": { + "go2rtc": "go2rtc", + "recording": "Snimanje", + "review_segment": "pregled segmenta", + "embeddings": "Ugrađivanja", + "audio_detector": "audio detektor" + } + } + }, + "storage": { + "title": "Skladište", + "overview": "Pregled", + "recordings": { + "title": "Snimci", + "tips": "Ova vrijednost predstavlja ukupno skladište koje se koristi za snimke u bazi podataka Frigate. Frigate ne praćenje korišćenje skladišta za sve datoteke na vašem disku.", + "earliestRecording": "Najstariji dostupni snimak:" + }, + "shm": { + "title": "Alokacija SHM (deljenja memorije)", + "warning": "Trenutna veličina SHM od {{total}}MB je prevelika. Povećajte je na najmanje {{min_shm}}MB.", + "frameLifetime": { + "title": "Vijek trajanja okvira", + "description": "Svaka kamera ima {{frames}} slotova za okvire u deljenoj memoriji. Na najbržoj brzini okvira kamere, svaki okvir je dostupan za približno {{lifetime}}s prije nego što se prepiše." + } + }, + "cameraStorage": { + "title": "Skladište kamere", + "camera": "Kamera", + "unusedStorageInformation": "Informacije o neiskorišćenom skladištu", + "storageUsed": "Skladište", + "percentageOfTotalUsed": "Postotak ukupno", + "bandwidth": "Širina pojasa", + "unused": { + "title": "Neiskorišćeno", + "tips": "Ova vrijednost može nepravilno predstavljati slobodno prostor dostupan Frigate ako imate druge datoteke pohranjene na vašem disku izvan snimaka Frigate. Frigate ne praćenje korišćenje skladišta izvan svojih snimaka." + } + } + }, + "cameras": { + "title": "Kamere", + "overview": "Pregled", + "info": { + "aspectRatio": "odnos stranica", + "cameraProbeInfo": "{{camera}} Informacije o ispitivanju kamere", + "streamDataFromFFPROBE": "Podaci o prijenosu se dobijaju pomoću ffprobe.", + "fetching": "Prenošenje podataka o kameri", + "stream": "Prijenos {{idx}}", + "video": "Video:", + "codec": "Kodek:", + "resolution": "Rješenje:", + "fps": "FPS:", + "unknown": "Nepoznato", + "audio": "Zvuk:", + "error": "Greška: {{error}}", + "tips": { + "title": "Informacije o ispitivanju kamere" + } + }, + "framesAndDetections": "Okviri / Detekcije", + "label": { + "camera": "Kamera", + "detect": "detektirati", + "skipped": "preskočeno", + "ffmpeg": "FFmpeg", + "capture": "snimiti", + "overallFramesPerSecond": "ukupni okviri po sekundi", + "overallDetectionsPerSecond": "ukupne detekcije po sekundi", + "overallSkippedDetectionsPerSecond": "ukupno preskočene detekcije po sekundi", + "cameraFfmpeg": "{{camName}} FFmpeg", + "cameraCapture": "{{camName}} snimiti", + "cameraDetect": "{{camName}} detektirati", + "cameraGpu": "{{camName}} GPU", + "cameraFramesPerSecond": "{{camName}} okviri po sekundi", + "cameraDetectionsPerSecond": "{{camName}} detekcije po sekundi", + "cameraSkippedDetectionsPerSecond": "{{camName}} preskočenih detekcija u sekundi" + }, + "connectionQuality": { + "title": "Kvaliteta veze", + "excellent": "Izuzetno dobra", + "fair": "Uredna", + "poor": "Loša", + "unusable": "Nepogodna", + "fps": "FPS", + "expectedFps": "Očekivani FPS", + "reconnectsLastHour": "Ponovne povezivanja (posljednje satu)", + "stallsLastHour": "Pauze (posljednje satu)" + }, + "toast": { + "success": { + "copyToClipboard": "Podaci o testiranju kopirani u clipboard." + }, + "error": { + "unableToProbeCamera": "Nemoguće testiranje kamere: {{errorMessage}}" + } + } + }, + "lastRefreshed": "Posljednje ažuriranje: ", + "stats": { + "ffmpegHighCpuUsage": "{{camera}} ima visoku upotrebu CPU za FFmpeg ({{ffmpegAvg}}%)", + "detectHighCpuUsage": "{{camera}} ima visoku upotrebu CPU za detekciju ({{detectAvg}}%)", + "healthy": "Sistem je zdrav", + "reindexingEmbeddings": "Ponovno indeksiranje ugrađenih vjerodajnica ({{processed}}% završeno)", + "cameraIsOffline": "{{camera}} je offline", + "detectIsSlow": "{{detect}} je spor ({{speed}} ms)", + "detectIsVerySlow": "{{detect}} je vrlo spor ({{speed}} ms)", + "shmTooLow": "/dev/shm alokacija ({{total}} MB) treba povećati na najmanje {{min}} MB.", + "debugReplayActive": "Debug ponavljanje sesije je aktivno" + }, + "enrichments": { + "title": "Obogaćivanja", + "infPerSecond": "Inferencije po sekundi", + "averageInf": "Prosjek vremena inferencije", + "embeddings": { + "image_embedding": "Slika ugrađenih vjerodajnica", + "text_embedding": "Tekst ugrađenih vjerodajnica", + "face_recognition": "Prepoznavanje lica", + "plate_recognition": "Prepoznavanje ploča", + "image_embedding_speed": "Brzina ugradnje slika", + "face_embedding_speed": "Brzina ugradnje lica", + "face_recognition_speed": "Brzina prepoznavanja lica", + "plate_recognition_speed": "Brzina prepoznavanja ploča", + "text_embedding_speed": "Brzina ugradnje teksta", + "yolov9_plate_detection_speed": "Brzina detekcije ploča YOLOv9", + "yolov9_plate_detection": "Detekcija ploča YOLOv9", + "review_description": "Pregled opisa", + "review_description_speed": "Brzina pregleda opisa", + "review_description_events_per_second": "Pregled opisa", + "object_description": "Opis objekta", + "object_description_speed": "Brzina opisa objekta", + "object_description_events_per_second": "Opis objekta", + "classification": "{{name}} Klasifikacija", + "classification_speed": "{{name}} Brzina klasifikacije", + "classification_events_per_second": "{{name}} Događaji klasifikacije po sekundi" + } + } +} diff --git a/web/public/locales/ca/audio.json b/web/public/locales/ca/audio.json index 98ed63bb40..0cd1959b6c 100644 --- a/web/public/locales/ca/audio.json +++ b/web/public/locales/ca/audio.json @@ -138,7 +138,7 @@ "plucked_string_instrument": "Instrument de corda pinçada", "guitar": "Guitarra", "electric_guitar": "Guitarra elèctrica", - "bass_guitar": "Baix", + "bass_guitar": "Guitarra baixa", "acoustic_guitar": "Guitarra acústica", "steel_guitar": "Guitarra steel", "tapping": "Tapping", diff --git a/web/public/locales/ca/common.json b/web/public/locales/ca/common.json index d1593e9486..f089d62eb7 100644 --- a/web/public/locales/ca/common.json +++ b/web/public/locales/ca/common.json @@ -49,7 +49,8 @@ "gl": "Galego (Gallec)", "id": "Bahasa Indonesia (Indonesi)", "ur": "اردو (Urdú)", - "hr": "Hrvatski (croat)" + "hr": "Hrvatski (croat)", + "bs": "Bosanski (Bosni)" }, "system": "Sistema", "systemMetrics": "Mètriques del sistema", @@ -109,7 +110,8 @@ "classification": "Classificació", "chat": "Xat", "actions": "Accions", - "profiles": "Perfils" + "profiles": "Perfils", + "features": "Característiques" }, "pagination": { "previous": { @@ -241,7 +243,7 @@ "done": "Fet", "disabled": "Deshabilitat", "disable": "Deshabilitar", - "save": "Guardar", + "save": "Desa", "copy": "Copiar", "back": "Enrere", "pictureInPicture": "Imatge en Imatge", diff --git a/web/public/locales/ca/components/dialog.json b/web/public/locales/ca/components/dialog.json index 9e2900d8aa..6f527e4df7 100644 --- a/web/public/locales/ca/components/dialog.json +++ b/web/public/locales/ca/components/dialog.json @@ -60,15 +60,76 @@ "noVaildTimeSelected": "No s'ha seleccionat un rang de temps vàlid", "failed": "No s'ha pogut inciar l'exportació: {{error}}" }, - "view": "Vista" + "view": "Vista", + "queued": "Exporta a la cua. Mostra el progrés a la pàgina d'exportacions.", + "batchSuccess_one": "S'ha iniciat l'exportació 1. Obrint el cas ara.", + "batchSuccess_many": "S'han iniciat {{count}} exportacions. Obrint el cas ara.", + "batchSuccess_other": "S'han iniciat {{count}} exportacions. Obrint el cas ara.", + "batchPartial": "S'han iniciat {{successful}} de {{total}} exportacions. Càmeres fallides: {{failedCameras}}", + "batchFailed": "No s'han pogut iniciar {{total}} exportacions. Càmeres fallides: {{failedCameras}}", + "batchQueuedSuccess_one": "Exporta a la cua 1. Obrint el cas ara.", + "batchQueuedSuccess_many": "{{count}} exportacions a la cua. Obrint el cas ara.", + "batchQueuedSuccess_other": "{{count}} exportacions a la cua. Obrint el cas ara.", + "batchQueuedPartial": "{{successful}} de {{total}} exportacions a la cua. Càmeres fallides: {{failedCameras}}", + "batchQueueFailed": "No s'han pogut posar a la cua {{total}} exportacions. Càmeres fallides: {{failedCameras}}" }, "fromTimeline": { "saveExport": "Guardar exportació", - "previewExport": "Previsualitzar exportació" + "previewExport": "Previsualitzar exportació", + "queueingExport": "S'està fent la cua de l'exportació...", + "useThisRange": "Utilitza aquest interval" }, "case": { "label": "Cas", - "placeholder": "Selecciona un cas" + "placeholder": "Selecciona un cas", + "newCaseOption": "Crea un cas no", + "newCaseNamePlaceholder": "Nom de cas nou", + "newCaseDescriptionPlaceholder": "Descripció del cas", + "nonAdminHelp": "Es crearà un nou cas per a aquestes exportacions." + }, + "queueing": "S'està fent la cua de l'exportació...", + "tabs": { + "export": "Càmera única", + "multiCamera": "Multicàmera" + }, + "multiCamera": { + "timeRange": "Interval de temps", + "selectFromTimeline": "Selecciona des de la línia de temps", + "cameraSelection": "Càmeres", + "cameraSelectionHelp": "Les càmeres amb objectes rastrejats en aquest interval de temps estan preseleccionades", + "checkingActivity": "Comprovant l'activitat de la càmera...", + "noCameras": "No hi ha càmeres disponibles", + "detectionCount_one": "1 objecte rastrejat", + "detectionCount_many": "{{count}} objectes rastrejats", + "detectionCount_other": "{{count}} objectes rastrejats", + "nameLabel": "Nom de l'exportació", + "namePlaceholder": "Nom base opcional per a aquestes exportacions", + "queueingButton": "S'estan posant a la cua les exportacions...", + "exportButton_one": "Exporta 1 càmera", + "exportButton_many": "Exporta {{count}} càmeres", + "exportButton_other": "Exporta {{count}} càmeres" + }, + "multi": { + "title_one": "Exporta {{count}} ressenyes", + "title_many": "Exporta {{count}} ressenyes", + "title_other": "Exporta {{count}} ressenyes", + "description": "Exporta cada revisió seleccionada. Totes les exportacions s'agruparan en un sol cas.", + "descriptionNoCase": "Exporta cada revisió seleccionada.", + "caseNamePlaceholder": "Exporta la revisió - {{date}}", + "exportButton_one": "Exporta {{count}} ressenyes", + "exportButton_many": "Exporta {{count}} ressenyes", + "exportButton_other": "Exporta {{count}} ressenyes", + "exportingButton": "S'està exportant...", + "toast": { + "started_one": "S'ha iniciat l'exportació 1. Obrint el cas ara.", + "started_many": "S'han iniciat {{count}} exportacions. Obrint el cas ara.", + "started_other": "S'han iniciat {{count}} exportacions. Obrint el cas ara.", + "startedNoCase_one": "S'ha iniciat l'exportació 1.", + "startedNoCase_many": "S'han iniciat {{count}} exportacions.", + "startedNoCase_other": "S'han iniciat {{count}} exportacions.", + "partial": "S'han iniciat {{successful}} de {{total}} exportacions. Ha fallat: {{failedItems}}", + "failed": "No s'han pogut iniciar {{total}} exportacions. Ha fallat: {{failedItems}}" + } } }, "streaming": { @@ -116,6 +177,14 @@ "success": "Els enregistraments de vídeo associats als elements de revisió seleccionats s’han suprimit correctament.", "error": "No s'ha pogut suprimir: {{error}}" } + }, + "shareTimestamp": { + "label": "Comparteix la marca horària", + "title": "Comparteix la marca horària", + "description": "Comparteix un URL amb marca horària de la posició actual del jugador o tria una marca horària personalitzada. Tingueu en compte que aquest no és un URL de compartició pública i només és accessible per als usuaris amb accés a Frigate i aquesta càmera.", + "custom": "Marca horària personalitzada", + "button": "Comparteix l'URL de la marca horària", + "shareTitle": "Marca de temps de revisió de Frigate: {{camera}}" } }, "imagePicker": { diff --git a/web/public/locales/ca/components/player.json b/web/public/locales/ca/components/player.json index 1fed78eff8..88be512c96 100644 --- a/web/public/locales/ca/components/player.json +++ b/web/public/locales/ca/components/player.json @@ -32,7 +32,8 @@ "noPreviewFoundFor": "No s'ha trobat cap previsualització per a {{cameraName}}", "submitFrigatePlus": { "title": "Enviar aquesta imatge a Frigate+?", - "submit": "Enviar" + "submit": "Enviar", + "previewError": "No s'ha pogut carregar la vista prèvia de la instantània. És possible que l'enregistrament no estigui disponible en aquest moment." }, "livePlayerRequiredIOSVersion": "Es requereix iOS 17.1 o superior per a aquest tipus de reproducció en directe.", "streamOffline": { diff --git a/web/public/locales/ca/config/cameras.json b/web/public/locales/ca/config/cameras.json index 090de49fb9..26016deee0 100644 --- a/web/public/locales/ca/config/cameras.json +++ b/web/public/locales/ca/config/cameras.json @@ -13,7 +13,7 @@ "description": "Habilitat" }, "audio": { - "label": "Esdeveniments d'àudio", + "label": "Detecció d'àudio", "description": "Configuració per a la detecció d'esdeveniments basats en àudio per a aquesta càmera.", "enabled": { "label": "Habilita la detecció d'àudio", @@ -33,7 +33,11 @@ }, "filters": { "label": "Filtres d'àudio", - "description": "Paràmetres de filtre per-àudio-tipus, com ara llindars de confiança utilitzats per reduir falsos positius." + "description": "Paràmetres de filtre per-àudio-tipus, com ara llindars de confiança utilitzats per reduir falsos positius.", + "threshold": { + "label": "Confiança mínima de l'àudio", + "description": "Llindar mínim de confiança per a l'esdeveniment d'àudio a comptar." + } }, "enabled_in_config": { "label": "Estat d'àudio original", @@ -485,6 +489,10 @@ "hwaccel_args": { "label": "Exporta els arguments de l'hwaccel", "description": "Args d'acceleració de maquinari a utilitzar per a operacions d'exportació/transcodificació." + }, + "max_concurrent": { + "label": "Màxim d'exportacions concurrents", + "description": "Nombre màxim de treballs d'exportació a processar al mateix temps." } }, "preview": { diff --git a/web/public/locales/ca/config/global.json b/web/public/locales/ca/config/global.json index d81735a614..f748860668 100644 --- a/web/public/locales/ca/config/global.json +++ b/web/public/locales/ca/config/global.json @@ -258,6 +258,41 @@ }, "raw_mask": { "label": "Màscara en brut" + }, + "filters_attribute": { + "label": "Filtres d'atribut", + "description": "Filtres aplicats als atributs detectats per reduir falsos positius (àrea, relació, confiança).", + "min_area": { + "label": "Àrea mínima de l'atribut", + "description": "Es requereix una àrea de caixa contenidora mínima (píxels o percentatge) per a aquest atribut. Pot ser píxels (int) o percentatge (float entre 0,000001 i 0.99)." + }, + "max_area": { + "label": "Àrea màxima de l'atribut", + "description": "Es permet l'àrea màxima del contenidor (píxels o percentatge) per a aquest atribut. Pot ser píxels (int) o percentatge (float entre 0,000001 i 0.99)." + }, + "min_ratio": { + "label": "Relació mínima d'aspecte", + "description": "Relació mínima d'amplada/alçada requerida per a la casella contenidora a qualificar." + }, + "max_ratio": { + "label": "Relació màxima d'aspecte", + "description": "Es permet la relació màxima d'amplada/alçada per a la casella contenidora a qualificar." + }, + "threshold": { + "label": "Llindar de confiança", + "description": "Es requereix un llindar de confiança mitjà per a la detecció perquè l'atribut es consideri un veritable positiu." + }, + "min_score": { + "label": "Confiança mínima", + "description": "Es requereix una confiança mínima de detecció d'un sol fotograma per a associar aquest atribut amb el seu objecte pare." + }, + "mask": { + "label": "Màscara de filtre", + "description": "Coordenades de polígon que defineixen on s'aplica aquest filtre dins del marc." + }, + "raw_mask": { + "label": "Màscara en brut" + } } }, "record": { @@ -341,6 +376,10 @@ "hwaccel_args": { "label": "Exporta els arguments de l'hwaccel", "description": "Args d'acceleració de maquinari a utilitzar per a operacions d'exportació/transcodificació." + }, + "max_concurrent": { + "label": "Màxim d'exportacions concurrents", + "description": "Nombre màxim de treballs d'exportació a processar al mateix temps." } }, "preview": { @@ -975,8 +1014,8 @@ "description": "Habilita el monitoratge d'amplada de banda per procés per als processos i detectors de ffmpeg de càmera (requereix capacitats)." }, "intel_gpu_device": { - "label": "Dispositiu SR-IOV", - "description": "Identificador de dispositiu utilitzat quan es tracten les GPU d'Intel com a SR-IOV per corregir les estadístiques de GPU." + "label": "Dispositiu GPU d'Intel", + "description": "Adreça de bus PCI o camí del dispositiu DRM (p. ex. /dev/dri/card1) utilitzat per fixar les estadístiques de GPU d'Intel a un dispositiu específic quan hi ha múltiples." } }, "version_check": { @@ -1951,7 +1990,7 @@ }, "roles": { "label": "Rols", - "description": "Funcions genAI (eines, visió, incrustacions); un proveïdor per rol." + "description": "Rols de GenAI (xat, descripcions, incrustacions); un proveïdor per rol." }, "provider_options": { "label": "Opcions del proveïdor", @@ -1963,7 +2002,7 @@ } }, "audio": { - "label": "Esdeveniments d'àudio", + "label": "Detecció d'àudio", "description": "Configuració per a la detecció d'esdeveniments basats en àudio per a totes les càmeres; es pot substituir per càmera.", "enabled": { "label": "Habilita la detecció d'àudio", @@ -1983,7 +2022,11 @@ }, "filters": { "label": "Filtres d'àudio", - "description": "Paràmetres de filtre per-àudio-tipus, com ara llindars de confiança utilitzats per reduir falsos positius." + "description": "Paràmetres de filtre per-àudio-tipus, com ara llindars de confiança utilitzats per reduir falsos positius.", + "threshold": { + "label": "Confiança mínima de l'àudio", + "description": "Llindar mínim de confiança per a l'esdeveniment d'àudio a comptar." + } }, "enabled_in_config": { "label": "Estat d'àudio original", @@ -2203,7 +2246,7 @@ }, "match_distance": { "label": "Distància de la coincidència", - "description": "Nombre de desajustos de caràcters permesos quan es comparen les plaques detectades amb les plaques conegudes." + "description": "Nombre de discrepàncies de caràcters permesos en comparar les plaques detectades amb les plaques conegudes." }, "known_plates": { "label": "Matricules conegudes", diff --git a/web/public/locales/ca/objects.json b/web/public/locales/ca/objects.json index 456f522ab0..17378dfe09 100644 --- a/web/public/locales/ca/objects.json +++ b/web/public/locales/ca/objects.json @@ -121,5 +121,10 @@ "royal_mail": "Royal Mail", "school_bus": "Bus escolar", "skunk": "Mofeta", - "kangaroo": "Cangur" + "kangaroo": "Cangur", + "baby": "Nadó", + "baby_stroller": "Cotxet", + "rickshaw": "Ricksaw", + "Rodent": "Rosegador", + "rodent": "Rosegador" } diff --git a/web/public/locales/ca/views/chat.json b/web/public/locales/ca/views/chat.json new file mode 100644 index 0000000000..27a2cce825 --- /dev/null +++ b/web/public/locales/ca/views/chat.json @@ -0,0 +1,69 @@ +{ + "documentTitle": "Xat - Frigate", + "title": "Xat Frigate", + "subtitle": "El teu assistent d'AI per a gestionar càmeres i coneixements", + "placeholder": "Pregunta qualsevol cosa...", + "error": "Alguna cosa ha fallat. Torna-ho a provar.", + "processing": "Processant...", + "toolsUsed": "Usades: {{tools}}", + "showTools": "Mostra eines ({{count}})", + "hideTools": "Amaga eines", + "call": "Truca", + "result": "Resultat", + "arguments": "Variables:", + "response": "Resposta:", + "attachment_chip_label": "{{label}} a {{camera}}", + "attachment_chip_remove": "Elimina l'adjunt", + "open_in_explore": "Obre en l'explorador", + "attach_event_aria": "Adjunta l'esdeveniment {{eventId}}", + "attachment_picker_paste_label": "O enganxa l'ID de l'esdeveniment", + "attachment_picker_attach": "Adjunta", + "attachment_picker_placeholder": "Adjunta un esdeveniment", + "quick_reply_find_similar": "Troba albiraments similars", + "quick_reply_tell_me_more": "Explica'm més sobre això", + "quick_reply_when_else": "Quan més es va veure?", + "quick_reply_find_similar_text": "Troba albiraments similars a això.", + "quick_reply_tell_me_more_text": "Parla'm més d'aquest.", + "quick_reply_when_else_text": "Quan més es va veure això?", + "anchor": "Referència", + "similarity_score": "Similitud", + "no_similar_objects_found": "No s'ha trobat cap objecte similar.", + "semantic_search_required": "La cerca semàntica ha d'estar habilitada per trobar objectes similars.", + "send": "Envia", + "suggested_requests": "Proveu de preguntar:", + "starting_requests": { + "show_recent_events": "Mostra els esdeveniments recents", + "show_camera_status": "Mostra l'estat de la càmera", + "recap": "Què va passar mentre jo era fora?", + "watch_camera": "Observa una càmera per a l'activitat" + }, + "starting_requests_prompts": { + "show_recent_events": "Mostra'm els esdeveniments recents de l'última hora", + "show_camera_status": "Quin és l'estat actual de les meves càmeres?", + "recap": "Què va passar mentre jo era fora?", + "watch_camera": "Vigila la porta d'entrada i fes-me saber si algú apareix" + }, + "new_chat": "Xat nou", + "settings": { + "title": "Configuració del xat", + "show_stats": { + "title": "Mostra les estadístiques", + "desc": "Mostra la velocitat de generació i la mida del context per a les respostes del xat.", + "while_generating": "En generar", + "always": "Sempre" + }, + "auto_scroll": { + "title": "Desplaçament automàtic", + "desc": "Segueix els missatges nous a mesura que arriben." + } + }, + "stats": { + "context": "{{tokens}} tokens", + "tokens_per_second": "{{rate}} t/s" + }, + "reasoning": { + "active": "Raonant…", + "show": "Mostra el raonament", + "hide": "Amaga el raonament" + } +} diff --git a/web/public/locales/ca/views/events.json b/web/public/locales/ca/views/events.json index afacccbf9b..a0563a991f 100644 --- a/web/public/locales/ca/views/events.json +++ b/web/public/locales/ca/views/events.json @@ -27,7 +27,9 @@ }, "documentTitle": "Revisió - Frigate", "recordings": { - "documentTitle": "Enregistraments - Frigate" + "documentTitle": "Enregistraments - Frigate", + "invalidSharedLink": "No s'ha pogut obrir l'enllaç d'enregistrament amb marques de temps a causa d'un error d'anàlisi.", + "invalidSharedCamera": "No s'ha pogut obrir l'enllaç d'enregistrament amb marques de temps a causa d'una càmera desconeguda o no autoritzada." }, "calendarFilter": { "last24Hours": "Últimes 24 hores" diff --git a/web/public/locales/ca/views/explore.json b/web/public/locales/ca/views/explore.json index a923baa954..c9a11a0c4b 100644 --- a/web/public/locales/ca/views/explore.json +++ b/web/public/locales/ca/views/explore.json @@ -248,7 +248,7 @@ "dialog": { "confirmDelete": { "title": "Confirmar la supressió", - "desc": "Eliminant aquest objecte seguit borrarà l'snapshot, qualsevol embedding gravat, i qualsevol detall de seguiment. Les imatges gravades d'aquest objecte seguit en l'historial NO seràn eliminades.

    Estas segur que vols continuar?" + "desc": "Suprimir aquest objecte rastrejat elimina la instantània, qualsevol incrustació desada, i qualsevol entrada de detalls de seguiment associada. Les imatges gravades d'aquest objecte seguit en l'historial NO seràn eliminades.

    Estas segur que vols continuar?" }, "toast": { "error": "S'ha produït un error en suprimir aquest objecte rastrejat: {{errorMessage}}" @@ -289,7 +289,10 @@ "zones": "Zones", "ratio": "Ràtio", "area": "Àrea", - "score": "Puntuació" + "score": "Puntuació", + "computedScore": "Puntuació calculada", + "topScore": "Puntuació superior", + "toggleAdvancedScores": "Commuta les puntuacions avançades" } }, "annotationSettings": { diff --git a/web/public/locales/ca/views/exports.json b/web/public/locales/ca/views/exports.json index ccb5366b55..194d87ae40 100644 --- a/web/public/locales/ca/views/exports.json +++ b/web/public/locales/ca/views/exports.json @@ -14,7 +14,9 @@ "toast": { "error": { "renameExportFailed": "Error al canviar el nom de l’exportació: {{errorMessage}}", - "assignCaseFailed": "No s'ha pogut actualitzar l'assignació de cas:{{errorMessage}}" + "assignCaseFailed": "No s'ha pogut actualitzar l'assignació de cas:{{errorMessage}}", + "caseSaveFailed": "No s'ha pogut desar el cas: {{errorMessage}}", + "caseDeleteFailed": "No s'ha pogut suprimir el cas: {{errorMessage}}" } }, "tooltip": { @@ -22,7 +24,8 @@ "downloadVideo": "Baixa el vídeo", "editName": "Edita el nom", "deleteExport": "Suprimeix l'exportació", - "assignToCase": "Afegeix al cas" + "assignToCase": "Afegeix al cas", + "removeFromCase": "Elimina del cas" }, "headings": { "cases": "Casos", @@ -35,5 +38,91 @@ "newCaseOption": "Crea un cas nou", "nameLabel": "Nom del cas", "descriptionLabel": "Descripció" + }, + "toolbar": { + "newCase": "Cas nou", + "addExport": "Afegeix una exportació", + "editCase": "Edita el cas", + "deleteCase": "Suprimeix el cas" + }, + "deleteCase": { + "label": "Suprimeix el cas", + "desc": "Esteu segur que voleu suprimir {{caseName}}?", + "descKeepExports": "Les exportacions continuaran estant disponibles com a exportacions sense categoria.", + "descDeleteExports": "Totes les exportacions en aquest cas s'eliminaran permanentment.", + "deleteExports": "Elimina també les exportacions" + }, + "caseCard": { + "emptyCase": "Encara no hi ha exportacions" + }, + "jobCard": { + "defaultName": "Exportació de {{camera}}", + "queued": "En cua", + "running": "En execució", + "preparing": "Preparant", + "copying": "Copiant", + "encoding": "Codificant", + "encodingRetry": "Codificant (reintent)", + "finalizing": "Finalitzant" + }, + "caseView": { + "noDescription": "Sense descripció", + "createdAt": "{{value}} creat", + "exportCount_one": "1 exportació", + "exportCount_other": "{{count}} exportacions", + "cameraCount_one": "1 càmera", + "cameraCount_other": "{{count}} càmeres", + "showMore": "Mostra'n més", + "showLess": "Mostra menys", + "emptyTitle": "Aquest cas és buit", + "emptyDescription": "Afegeix les exportacions no categoritzades existents per mantenir el cas organitzat.", + "emptyDescriptionNoExports": "Encara no hi ha exportacions sense categoria per afegir." + }, + "caseEditor": { + "createTitle": "Crea un cas", + "editTitle": "Edita el cas", + "namePlaceholder": "Nom del cas", + "descriptionPlaceholder": "Afegeix notes o context per a aquest cas" + }, + "addExportDialog": { + "title": "Afegeix l'exportació a {{caseName}}", + "searchPlaceholder": "Cerca exportacions sense categoria", + "empty": "No hi ha exportacions sense categoria que coincideixin amb aquesta cerca.", + "addButton_one": "Afegeix 1 exportació", + "addButton_other": "Afegeix {{count}} exportacions", + "adding": "S'està afegint..." + }, + "selected_one": "{{count}} seleccionats", + "selected_other": "{{count}} seleccionats", + "bulkActions": { + "addToCase": "Afegeix al cas", + "moveToCase": "Mou al cas", + "removeFromCase": "Elimina del cas", + "delete": "Suprimeix", + "deleteNow": "Suprimeix ara" + }, + "bulkDelete": { + "title": "Suprimeix les exportacions", + "desc_one": "Esteu segur que voleu suprimir {{count}} l'exportació?", + "desc_other": "steu segur que voleu suprimir {{count}} exportacions?" + }, + "bulkRemoveFromCase": { + "title": "Elimina del cas", + "desc_one": "Voleu suprimir {{count}} d'aquest cas?", + "desc_other": "Voleu eliminar {{count}} exportacions d'aquest cas?", + "descKeepExports": "Les exportacions es mouran a sense categoria.", + "descDeleteExports": "Les exportacions s'eliminaran permanentment.", + "deleteExports": "Suprimeix les exportacions" + }, + "bulkToast": { + "success": { + "delete": "Exportacions suprimides amb èxit", + "reassign": "Assignació de cas actualitzada amb èxit", + "remove": "S'han eliminat les exportacions del cas" + }, + "error": { + "deleteFailed": "No s'han pogut suprimir les exportacions: {{errorMessage}}", + "reassignFailed": "No s'ha pogut actualitzar l'assignació de cas: {{errorMessage}}" + } } } diff --git a/web/public/locales/ca/views/faceLibrary.json b/web/public/locales/ca/views/faceLibrary.json index 1cc77f1a60..5f0546ecc8 100644 --- a/web/public/locales/ca/views/faceLibrary.json +++ b/web/public/locales/ca/views/faceLibrary.json @@ -14,7 +14,11 @@ "empty": "No hi ha intents recents de reconeixement de rostres", "title": "Reconeixements recents", "aria": "Selecciona els reconeixements recents", - "titleShort": "Recent" + "titleShort": "Recent", + "emptyNoLibrary": { + "title": "Puja una cara", + "description": "Heu d'afegir com a mínim una cara a la biblioteca perquè el reconeixement de la cara funcioni." + } }, "description": { "addFace": "Afegiu una col·lecció nova a la biblioteca de cares pujant la vostra primera imatge.", @@ -38,7 +42,7 @@ "uploadFace": "Puja una imatge del rostre", "nextSteps": "Següents passos", "description": { - "uploadFace": "Puja una imatge de {{name}} que mostri el seu rostre de cares. No cal que la imatge estigui retallada només al rostre." + "uploadFace": "Pugeu una imatge de {{name}} que mostra la seva cara des d'un angle frontal. La imatge no necessita ser retallada a la seva cara." } }, "selectFace": "Seleccionar rostre", diff --git a/web/public/locales/ca/views/live.json b/web/public/locales/ca/views/live.json index b40f02e35a..20db54905b 100644 --- a/web/public/locales/ca/views/live.json +++ b/web/public/locales/ca/views/live.json @@ -70,7 +70,8 @@ }, "recording": { "enable": "Habilitar gravació", - "disable": "Deshabilita l'enregistrament" + "disable": "Deshabilita l'enregistrament", + "disabledInConfig": "L'enregistrament primer s'ha d'habilitar a la configuració d'aquesta càmera." }, "snapshots": { "enable": "Habilita captura d'instantània", diff --git a/web/public/locales/ca/views/motionSearch.json b/web/public/locales/ca/views/motionSearch.json new file mode 100644 index 0000000000..cf41e934d1 --- /dev/null +++ b/web/public/locales/ca/views/motionSearch.json @@ -0,0 +1,77 @@ +{ + "documentTitle": "Busca Deteccións - Frigate", + "title": "Búsqueda de Deteccions", + "selectCamera": "Búsqueda de Deteccions s'esta carregant", + "startSearch": "Començar Búsqueda", + "searchStarted": "Búsqueda inicada", + "searchCancelled": "Búsqueda cancel·lada", + "cancelSearch": "Cancel·lar", + "searching": "Búsqueda en progrés.", + "searchComplete": "Búsqueda completa", + "description": "Dibuixa un polígon per definir la regió d'interès, i especifica un interval de temps per cercar canvis de moviment dins d'aquesta regió.", + "noResultsYet": "Executa una cerca per a trobar canvis de moviment a la regió seleccionada", + "noChangesFound": "No s'ha detectat cap canvi de píxel a la regió seleccionada", + "changesFound_one": "S'ha trobat el canvi de moviment {{count}}", + "changesFound_many": "S'han trobat {{count}} canvis de moviment", + "changesFound_other": "S'han trobat {{count}} canvis de moviment", + "framesProcessed": "{{count}} fotogrames processats", + "jumpToTime": "Salta a aquesta hora", + "results": "Resultats", + "showSegmentHeatmap": "Mapa de calor", + "newSearch": "Cerca nova", + "clearResults": "Neteja els resultats", + "clearROI": "Neteja el polígon", + "polygonControls": { + "points_one": "{{count}} punt", + "points_many": "{{count}} punts", + "points_other": "{{count}} punts", + "undo": "Desfés l'últim punt", + "reset": "Restableix el polígon" + }, + "motionHeatmapLabel": "Mapa de calor del moviment", + "dialog": { + "title": "Cerca de moviment", + "cameraLabel": "Càmara", + "previewAlt": "Vista prèvia de la càmera per a {{camera}}" + }, + "timeRange": { + "title": "Interval de cerca", + "start": "Hora d'inici", + "end": "Hora final" + }, + "settings": { + "title": "Configuració de la cerca", + "parallelMode": "Mode paral·lel", + "parallelModeDesc": "Escaneja múltiples segments d'enregistrament al mateix temps (més ràpid, però significativament més intensiu en CPU)", + "threshold": "Llindar de la sensibilitat", + "thresholdDesc": "Els valors més baixos detecten canvis més petits (1-255)", + "minArea": "Àrea de canvi mínim", + "minAreaDesc": "Percentatge mínim de la regió d'interès que s'ha de canviar per considerar-se significatiu", + "frameSkip": "Omet el fotograma", + "frameSkipDesc": "Processa cada N fotograma. Establiu això a la velocitat de fotogrames de la càmera per processar un fotograma per segon (p. ex. 5 per a una càmera de 5 FPS, 30 per a una càmera de 30 FPS). Els valors més alts seran més ràpids, però poden perdre els esdeveniments de curt moviment.", + "maxResults": "Resultats màxims", + "maxResultsDesc": "Atura després d'aquestes quantes marques horàries coincidents" + }, + "errors": { + "noCamera": "Seleccioneu una càmera", + "noROI": "Dibuixeu una regió d'interès", + "noTimeRange": "Seleccioneu un interval de temps", + "invalidTimeRange": "L'hora de finalització ha de ser posterior a l'hora d'inici", + "searchFailed": "Ha fallat la cerca: {{message}}", + "polygonTooSmall": "El polígon ha de tenir almenys 3 punts", + "unknown": "Error desconegut" + }, + "changePercentage": "{{percentage}}% canviat", + "metrics": { + "title": "Cerca les mètriques", + "segmentsScanned": "Segments escanejats", + "segmentsProcessed": "Processat", + "segmentsSkippedInactive": "S'ha omès (sense activitat)", + "segmentsSkippedHeatmap": "S'ha omès (sense superposició ROI)", + "fallbackFullRange": "Escaneig de rang complet alternatiu", + "framesDecoded": "Fotogrames descodificats", + "wallTime": "Temps de cerca", + "segmentErrors": "Errors del segment", + "seconds": "{{seconds}}s" + } +} diff --git a/web/public/locales/ca/views/replay.json b/web/public/locales/ca/views/replay.json new file mode 100644 index 0000000000..36eccd8a6c --- /dev/null +++ b/web/public/locales/ca/views/replay.json @@ -0,0 +1,59 @@ +{ + "page": { + "startError": { + "back": "Torna a l'Historial", + "title": "No s'ha pogut iniciar la repetició de la depuració" + }, + "sourceCamera": "Camera d'origen", + "replayCamera": "Reproduïr Càmera", + "initializingReplay": "Inicialitzant depurar repetició...", + "stoppingReplay": "Parant depurar repetició...", + "stopReplay": "Parar Repetició", + "confirmStop": { + "title": "Parar Depurar Repetició?", + "description": "Aixó pararà la sessió i netejarà les dades temporals. Estás segur?", + "confirm": "Parar Repetició", + "cancel": "Cancel·lar" + }, + "activity": "Activitat", + "objects": "Llista d'Objectes", + "audioDetections": "Deteccions d'Audio", + "noActivity": "Sense activitat detectada", + "activeTracking": "Tracking Actiu", + "noActiveTracking": "Sense tracking actiu", + "configuration": "Configuració", + "configurationDesc": "Configuració d'ajust fi de detecció de moviment i tracking d'objectes per a la depuració de reproducció de càmera. Cap canvi es graba en el teu arxiu de configuració de Frigate.", + "noSession": "No hi ha una sessió activa de reproducció de depuració", + "noSessionDesc": "Inicia una reproducció de depuració des de la vista Historial fent clic al botó Accions a la barra d'eines i escollint Depura Repeteix.", + "goToRecordings": "Ves a l'historial", + "preparingClip": "S'està preparant el clip…", + "preparingClipDesc": "Frigate està cosint enregistraments per a l'interval de temps seleccionat. Això pot trigar un minut en intervals més llargs.", + "startingCamera": "S'està iniciant la repetició de la depuració…" + }, + "title": "Repetició de depuració", + "websocket_messages": "Missatges", + "dialog": { + "title": "Iniciar Depuració de Repeticions", + "camera": "Càmera Font", + "timeRange": "Rang de Temps", + "preset": { + "1m": "Últim 1 Minut", + "5m": "Últims 5 Minuts", + "timeline": "Desde la Línia de Temps", + "custom": "Personalitzat" + }, + "description": "Crea una càmera de reproducció temporal que fa bucles de metratge històric per depurar la detecció d'objectes i els problemes de seguiment. La càmera de reproducció tindrà la mateixa configuració de detecció que la càmera d'origen. Trieu un interval de temps per començar.", + "startButton": "Inicia la repetició", + "selectFromTimeline": "Selecciona", + "starting": "S'està iniciant la repetició...", + "startLabel": "Inici", + "endLabel": "Final", + "toast": { + "error": "No s'ha pogut iniciar la repetició de depuració: {{error}}", + "alreadyActive": "Ja hi ha activada una sessió de reproducció", + "stopError": "No s'ha pogut aturar la repetició de depuració: {{error}}", + "goToReplay": "Ves a la repetició" + } + }, + "description": "Reprodueix els enregistraments de la càmera per a la depuració. La llista d'objectes mostra un resum retardat en el temps dels objectes detectats i la pestanya Missatges mostra un flux de missatges interns de la fragata a partir del metratge de reproducció." +} diff --git a/web/public/locales/ca/views/settings.json b/web/public/locales/ca/views/settings.json index 187132bf8e..ebd2278fd0 100644 --- a/web/public/locales/ca/views/settings.json +++ b/web/public/locales/ca/views/settings.json @@ -15,7 +15,8 @@ "globalConfig": "Configuració global - Frigate", "cameraConfig": "Configuració de la càmera - Frigate", "maintenance": "Manteniment - Frigate", - "profiles": "Perfils - Frigate" + "profiles": "Perfils - Frigate", + "detectorsAndModel": "Detectors i model - Frigate" }, "menu": { "ui": "Interfície d'usuari", @@ -43,7 +44,7 @@ "globalMotion": "Detecció de moviment", "globalObjects": "Objectes", "globalReview": "Revisió", - "globalAudioEvents": "Esdeveniments d'àudio", + "globalAudioEvents": "Detecció d'àudio", "globalLivePlayback": "Reproducció en directe", "globalTimestampStyle": "Estil de la marca horària", "systemDatabase": "Base de dades", @@ -73,7 +74,7 @@ "cameraMotion": "Detecció de moviment", "cameraObjects": "Objectes", "cameraConfigReview": "Revisió", - "cameraAudioEvents": "Esdeveniments d'àudio", + "cameraAudioEvents": "Detecció d'àudio", "cameraAudioTranscription": "Transcripció d'àudio", "cameraNotifications": "Notificacions", "cameraLivePlayback": "Reproducció en directe", @@ -90,7 +91,8 @@ "regionGrid": "Quadrícula de la regió", "uiSettings": "Paràmetres de la IU", "profiles": "Perfils", - "systemGo2rtcStreams": "go2rtc streams" + "systemGo2rtcStreams": "go2rtc streams", + "systemDetectorsAndModel": "Detectors i model" }, "dialog": { "unsavedChanges": { @@ -526,7 +528,7 @@ }, "title": "Afinador de detecció de moviment", "toast": { - "success": "Els ajustos de la detecció de moviment s'han desat." + "success": "S'han desat els paràmetres del moviment." }, "unsavedChanges": "Canvis no desats en l'ajust de moviment {{camera}}" }, @@ -724,7 +726,7 @@ "trainDate": "Data d'entrenament", "title": "Informació del model", "supportedDetectors": "Detectors compatibles", - "availableModels": "Models disponibles", + "availableModels": "Models Frigate+ disponibles", "cameras": "Càmeres", "plusModelType": { "userModel": "Afinat", @@ -733,7 +735,15 @@ "loadingAvailableModels": "Carregant models disponibles…", "loading": "Carregant informació del model…", "error": "No s'ha pogut carregar la informació del model", - "modelSelect": "Els models disponibles a Frigate+ es poden seleccionar aquí. Tingues en compte que només es poden triar els models compatibles amb la configuració actual del detector." + "modelSelect": "Els models disponibles a Frigate+ es poden seleccionar aquí. Tingues en compte que només es poden triar els models compatibles amb la configuració actual del detector.", + "noModelLoaded": "Actualment no s'ha carregat cap model Frigate+.", + "selectModel": "Selecciona un model", + "noModelsAvailable": "No hi ha models disponibles", + "filter": { + "ariaLabel": "Filtra els models per tipus", + "baseModels": "Models de base", + "fineTunedModels": "Models ajustats" + } }, "apiKey": { "plusLink": "Llegeix més sobre Frigate+", @@ -755,7 +765,8 @@ "currentModel": "Model actual", "otherModels": "Altres models", "configuration": "Configuració" - } + }, + "changeInDetectorsAndModel": "Canviar model" }, "enrichments": { "semanticSearch": { @@ -1280,7 +1291,8 @@ }, "hikvision": { "substreamWarning": "El substream 1 està bloquejat a una resolució baixa. Moltes càmeres Hikvision suporten subfluxos addicionals que han d'estar habilitats a la configuració de la càmera. Es recomana comprovar i utilitzar aquests corrents si estan disponibles." - } + }, + "resolutionUnknown": "La resolució d'aquest flux no s'ha pogut investigar. Heu d'establir manualment la resolució de detecció a Configuració o a la configuració." } } }, @@ -1294,10 +1306,19 @@ "title": "Habilita / Inhabilita les càmeres", "desc": "Inhabilita temporalment una càmera fins que es reiniciï la fragata. La inhabilitació d'una càmera atura completament el processament de Frigate dels fluxos d'aquesta càmera. La detecció, l'enregistrament i la depuració no estaran disponibles.
    Nota: això no desactiva les retransmissions de go2rtc.", "enableLabel": "Càmeres habilitades", - "enableDesc": "Inhabilita temporalment una càmera habilitada fins que es reiniciï Frigate. La inhabilitació d'una càmera atura completament el processament de Frigate dels fluxos d'aquesta càmera. La detecció, l'enregistrament i la depuració no estaran disponibles.
    Nota: això no desactiva les retransmissions de go2rtc.", + "enableDesc": "Inhabilita temporalment una càmera habilitada fins que es reiniciï Frigate. La inhabilitació d'una càmera atura completament el processament de Frigate dels fluxos d'aquesta càmera. La detecció, l'enregistrament i la depuració no estaran disponibles.
    Nota: això no inhabilita els restreams go2rtc.

    Drag el handle per reordenar les càmeres tal com apareixen a la interfície d'usuari. L'ordre de les càmeres habilitades es reflectirà en tota la interfície d'usuari, incloent el tauler en viu i els desplegables de selecció de càmeres.", "disableLabel": "Càmeres inhabilitades", "disableDesc": "Habilita una càmera que actualment no és visible a la interfície d'usuari i està desactivada a la configuració. Es requereix un reinici de Frigate després d'activar-la.", - "enableSuccess": "{{cameraName}} activat a la configuració. Reinicia Frigate per aplicar els canvis." + "enableSuccess": "{{cameraName}} activat a la configuració. Reinicia Frigate per aplicar els canvis.", + "friendlyName": { + "edit": "Edita el nom de la pantalla de la càmera", + "title": "Edita el nom de la pantalla", + "description": "Estableix el nom amigable que es mostra per a aquesta càmera a tota la interfície d'usuari de la Fragata. Deixeu-ho en blanc per utilitzar l'ID de la càmera.", + "rename": "Canvia el nom" + }, + "reorderHandle": "Arrossega per reordenar", + "saving": "S'està desant…", + "saved": "Desat" }, "cameraConfig": { "add": "Afegeix una càmera", @@ -1347,7 +1368,16 @@ "inherit": "Hereta", "enabled": "Habilitat", "disabled": "Desactivat" - } + }, + "cameraType": { + "title": "Tipus de càmera", + "label": "Tipus de càmera", + "description": "Estableix el tipus per a cada càmera. Les càmeres LPR dedicades són càmeres d'un sol ús amb un potent zoom òptic per capturar matrícules en vehicles distants. La majoria de les càmeres haurien d'utilitzar el tipus de càmera normal llevat que la càmera sigui específicament per a LPR i tingui una vista molt centrada en les matrícules.", + "dedicatedLpr": "LPR dedicat", + "saveSuccess": "Tipus de càmera actualitzat per {{cameraName}}. Reinicia la fragata per aplicar els canvis.", + "normal": "Normal" + }, + "description": "Afegiu, editeu i suprimiu les càmeres, controleu quines càmeres estan habilitades, i configureu les superposicions per perfil i tipus de càmera. Per a configurar fluxos, detecció, moviment i altres paràmetres específics de la càmera, trieu la secció específica a Configuració de la càmera." }, "cameraReview": { "object_descriptions": { @@ -1646,7 +1676,9 @@ "options": { "embeddings": "Incrustació", "vision": "Visió", - "tools": "Eines" + "tools": "Eines", + "descriptions": "Descripcions", + "chat": "Xat" } }, "semanticSearchModel": { @@ -1659,7 +1691,16 @@ "empty": "No hi ha etiquetes disponibles", "allNonAlertDetections": "Totes les activitats no alertes s'inclouran com a deteccions." }, - "addCustomLabel": "Afegeix una etiqueta personalitzada..." + "addCustomLabel": "Afegeix una etiqueta personalitzada...", + "genaiModel": { + "placeholder": "Selecciona el model…", + "search": "Cerca models…", + "noModels": "No hi ha models disponibles" + }, + "knownPlates": { + "namePlaceholder": "per exemple. Cotxe de la parella", + "platePlaceholder": "Matricula o regex" + } }, "globalConfig": { "title": "Configuració global", @@ -1694,7 +1735,10 @@ "saveAllPartial_many": "{{successCount}} de {{totalCount}} seccions desades. {{failCount}} ha fallat.", "saveAllPartial_other": "{{successCount}} de {{totalCount}} seccions desades. {{failCount}} ha fallat.", "saveAllFailure": "Ha fallat en desar totes les seccions.", - "applied": "La configuració s'ha aplicat correctament" + "applied": "La configuració s'ha aplicat correctament", + "saveAllSuccessRestartRequired_one": "S'ha desat la secció {{count}} correctament. Reinicia la fragata per aplicar els canvis.", + "saveAllSuccessRestartRequired_many": "Totes les {{count}} seccions s'han desat correctament. Reinicia la fragata per aplicar els canvis.", + "saveAllSuccessRestartRequired_other": "Totes les {{count}} seccions s'han desat correctament. Reinicia la fragata per aplicar els canvis." }, "unsavedChanges": "Teniu canvis sense desar", "confirmReset": "Confirma el restabliment", @@ -1704,7 +1748,30 @@ "overriddenGlobal": "Sobreescrit (Global)", "overriddenGlobalTooltip": "Aquesta càmera anul·la la configuració global d'aquesta secció", "overriddenBaseConfig": "Sobreescrit (Configuració base)", - "overriddenBaseConfigTooltip": "El perfil {{profile}} substitueix la configuració d'aquesta secció" + "overriddenBaseConfigTooltip": "El perfil {{profile}} substitueix la configuració d'aquesta secció", + "overriddenInCameras": { + "label_one": "Sobreescrit a la càmera {{count}}", + "label_many": "Sobreescrit en {{count}} càmeres", + "label_other": "Sobreescrit en {{count}} càmeres", + "tooltip_one": "{{count}} la càmera anul·la els valors d'aquesta secció. Feu clic per veure els detalls.", + "tooltip_many": "{{count}} càmeres substitueixen els valors d'aquesta secció. Feu clic per veure els detalls.", + "tooltip_other": "{{count}} càmeres substitueixen els valors d'aquesta secció. Feu clic per veure els detalls.", + "heading_one": "Aquesta secció global té camps que estan sobreescrits a la càmera {{count}}.", + "heading_many": "Aquesta secció global té camps que estan sobreescrits en {{count}} càmeres.", + "heading_other": "Aquesta secció global té camps que estan sobreescrits en {{count}} càmeres.", + "othersField_one": "{{count}} altre", + "othersField_many": "{{count}} altres", + "othersField_other": "{{count}} altres", + "profilePrefix": "Perfil {{profile}}: {{fields}}" + }, + "overriddenGlobalHeading_one": "Aquesta càmera substitueix el camp {{count}} de la configuració global:", + "overriddenGlobalHeading_many": "Aquesta càmera anul·la {{count}} camps de la configuració global:", + "overriddenGlobalHeading_other": "Aquesta càmera anul·la {{count}} camps de la configuració global:", + "overriddenGlobalNoDeltas": "Aquesta càmera anul·la la configuració global, però no hi ha valors de camp diferents.", + "overriddenBaseConfigHeading_one": "El perfil {{profile}} substitueix el camp {{count}} de la configuració base:", + "overriddenBaseConfigHeading_many": "El perfil {{profile}} substitueix {{count}} camps de la configuració base:", + "overriddenBaseConfigHeading_other": "El perfil {{profile}} substitueix {{count}} camps de la configuració base:", + "overriddenBaseConfigNoDeltas": "El perfil {{profile}} substitueix aquesta secció, però no hi ha valors de camp diferents de la configuració base." }, "profiles": { "title": "Perfils", @@ -1788,8 +1855,17 @@ "audioMp3": "Transcodifica a MP3", "audioExclude": "Exclou", "hardwareNone": "Sense acceleració de hardware", - "hardwareAuto": "Acceleració de hardware automàtica" - } + "hardwareAuto": "Automàtic (recomanat)", + "addVideoCodec": "Afegeix un còdec de vídeo", + "addAudioCodec": "Afegeix un còdec d'àudio", + "removeCodec": "Elimina el còdec", + "hardwareVaapi": "VAAPI", + "hardwareCuda": "CUDA", + "hardwareV4l2m2m": "V4L2 M2M", + "hardwareDxva2": "DXVA2", + "hardwareVideotoolbox": "VideoToolbox" + }, + "streamNumber": "Flux {{index}}" }, "timestampPosition": { "tl": "A dalt a l'esquerra", @@ -1799,13 +1875,21 @@ }, "onvif": { "profileAuto": "Automàtic", - "profileLoading": "S'estan carregant perfils..." + "profileLoading": "S'estan carregant perfils...", + "autotracking": { + "zooming": { + "disabled": "Desactivat", + "absolute": "Absolut", + "relative": "Relatiu" + } + } }, "configMessages": { "review": { "recordDisabled": "L'enregistrament està desactivat, els elements de revisió no es generaran.", "detectDisabled": "La detecció d'objectes està desactivada. Els elements de revisió requereixen objectes detectats per categoritzar alertes i deteccions.", - "allNonAlertDetections": "Totes les activitats no alertes s'inclouran com a deteccions." + "allNonAlertDetections": "Totes les activitats no alertes s'inclouran com a deteccions.", + "genaiImageSourceRecordingsRecordDisabled": "La font d'imatges està configurada com a 'enregistraments', però l'enregistrament està desactivat. La fragata tornarà a la vista prèvia de les imatges." }, "audio": { "noAudioRole": "Cap flux té definit el rol d'àudio. Heu d'habilitar el rol d'àudio per a la detecció d'àudio perquè funcioni." @@ -1814,15 +1898,18 @@ "audioDetectionDisabled": "La detecció d'àudio no està activada per a aquesta càmera. La transcripció d'àudio requereix que la detecció d'àudio estigui activa." }, "detect": { - "fpsGreaterThanFive": "No es recomana establir el detect FPS superior a 5." + "fpsGreaterThanFive": "No es recomana establir el detect FPS superior a 5. Els valors més alts poden causar problemes de rendiment i no proporcionaran cap benefici.", + "disabled": "La detecció d'objectes està desactivada. Les instantànies, articles de revisió i enriquiments com el reconeixement de rostres, el reconeixement de matrícules i la IA Generativa no funcionaran." }, "faceRecognition": { - "globalDisabled": "El reconeixement de cares no està habilitat a nivell global. Habilita-ho en la configuració global per al reconeixement facial a nivell de càmera per funcionar.", - "personNotTracked": "El reconeixement de cares requereix que l'objecte 'persona' sigui rastrejat. Assegureu-vos que «persona» estigui a la llista de seguiment d'objectes." + "globalDisabled": "L'enriquiment del reconeixement facial s'ha d'habilitar perquè les funcions de reconeixement facial funcionin en aquesta càmera.", + "personNotTracked": "El reconeixement de cares requereix que l'objecte 'persona' sigui rastrejat. Habilita «persona» en objectes per a aquesta càmera.", + "modelSizeLarge": "El model 'gran' requereix una GPU o NPU per a un rendiment raonable. Usa «petit» en sistemes només de CPU." }, "lpr": { - "globalDisabled": "El reconeixement de la matrícula no està habilitat a nivell global. Habilita-ho en la configuració global per al funcionament de LPR a nivell de càmera.", - "vehicleNotTracked": "El reconeixement de la matrícula requereix que es faci un seguiment del 'cotxe' o de la 'motocicleta'." + "globalDisabled": "L'enriquiment de reconeixement de matrícules ha d'estar habilitat perquè les funcions LPR funcionin en aquesta càmera.", + "vehicleNotTracked": "El reconeixement de la matrícula requereix que es faci un seguiment del 'cotxe' o de la 'motocicleta'.", + "modelSizeLarge": "El model 'gran' està optimitzat per a matrícules multilínies. El model 'petit' proporciona un millor rendiment sobre 'gran' i s'ha d'utilitzar tret que la vostra regió utilitzi formats de placa multilínia." }, "record": { "noRecordRole": "Cap flux té el rol de registre definit. L'enregistrament no funcionarà." @@ -1836,6 +1923,111 @@ "detectors": { "mixedTypes": "Tots els detectors han d'utilitzar el mateix tipus. Elimina els detectors existents per utilitzar un tipus diferent.", "mixedTypesSuggestion": "Tots els detectors han d'utilitzar el mateix tipus. Suprimiu detectors existents o seleccioneu {{type}}." + }, + "objects": { + "genaiNoDescriptionsProvider": "Heu de configurar un proveïdor de GenAI amb el rol 'descripcions' per a les descripcions que es generaran." + }, + "semanticSearch": { + "jinav2SmallModelSize": "La mida 'petita' amb el model Jina V2 té un alt cost de RAM i d'inferència. Es recomana el model 'gran' amb una GPU discreta." } + }, + "modelSize": { + "large": "Gran", + "small": "Petit" + }, + "birdseye": { + "trackingMode": { + "objects": "Objectes", + "motion": "Moviment", + "continuous": "Continu" + }, + "cameraOrder": { + "label": "Ordre de la càmera", + "description": "Arrossega les càmeres per establir el seu ordre en la disposició Birdseye.", + "reorderHandle": "Arrossega per reordenar", + "saving": "S'està desant…", + "saved": "Desat" + } + }, + "snapshot": { + "retainMode": { + "all": "Tots", + "motion": "Moviment", + "active_objects": "Objectes Actius" + } + }, + "ui": { + "timeFormat": { + "browser": "Visor", + "12hour": "12 hores", + "24hour": "24 hores" + }, + "TimeOrDateStyle": { + "full": "Complet", + "long": "Llarg", + "medium": "Mitjà", + "short": "Curt" + }, + "unitSystem": { + "metric": "Métric", + "imperial": "Imperial" + } + }, + "review": { + "imageSource": { + "recordings": "Gravacions", + "previews": "Previsualitzacions" + } + }, + "logger": { + "logLevel": { + "debug": "Depurar", + "info": "Informació", + "warning": "Avís", + "error": "Error", + "critical": "Crític" + } + }, + "retainMode": { + "all": "Tots", + "motion": "Moviment", + "active_objects": "Objectes actius" + }, + "previewQuality": { + "very_high": "Molt alta", + "high": "Alta", + "medium": "Mitja", + "low": "Baix", + "very_low": "Molt baix" + }, + "detectorsAndModel": { + "restartRequired": "Reinici requerit (canvi en detector o model)", + "title": "Detectors i model", + "description": "Configuri el detector final que corre la detecció d'objectes i el model que usa. Els canvis es gravaràn junts i així el detector i el model estan sincronitzats.", + "cardTitles": { + "detector": "Detector Hardware", + "model": "Model de detecció" + }, + "tabs": { + "plus": "Frigate+", + "custom": "Model personalitzat" + }, + "mismatch": { + "warning": "El model actual de Frigate+ \"{{model}}\" requereix el detector {{required}}. Selecciona un model compatible a baix o canvía e model personalitzat abans de gravar." + }, + "plusModel": { + "requiresDetector": "Requereix: {{detector}}", + "noModelSelected": "Selecciona un model Frigate+" + }, + "toast": { + "saveSuccess": "Configuració de detectors i model guardats. Reinicia Frigate per aplicar els canvis.", + "saveError": "Fallo en gravar la configuració de detector i model" + }, + "unsavedChanges": "Canvis de detector i model no gravats" + }, + "menuDot": { + "overrideGlobal": "Aquesta secció substitueix la configuració global", + "overrideProfile": "Aquesta secció està substituïda pel perfil {{profile}}", + "unsaved": "Aquesta secció té canvis sense desar" } } diff --git a/web/public/locales/ca/views/system.json b/web/public/locales/ca/views/system.json index 22ecd1fa81..595e7f8f60 100644 --- a/web/public/locales/ca/views/system.json +++ b/web/public/locales/ca/views/system.json @@ -213,6 +213,9 @@ "expectedFps": "FPS esperat", "reconnectsLastHour": "Reconnecta (última hora)", "stallsLastHour": "Parades (última hora)" + }, + "noCameras": { + "title": "No s'ha trobat cap càmera" } }, "lastRefreshed": "Darrera actualització: ", diff --git a/web/public/locales/cs/views/chat.json b/web/public/locales/cs/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/cs/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/cs/views/motionSearch.json b/web/public/locales/cs/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/cs/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/cs/views/replay.json b/web/public/locales/cs/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/cs/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/da/views/chat.json b/web/public/locales/da/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/da/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/da/views/motionSearch.json b/web/public/locales/da/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/da/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/da/views/replay.json b/web/public/locales/da/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/da/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/de/common.json b/web/public/locales/de/common.json index 8924da381e..c1ed6020b8 100644 --- a/web/public/locales/de/common.json +++ b/web/public/locales/de/common.json @@ -192,7 +192,8 @@ "bg": "Български (bulgarisch)", "gl": "Galego (Galicisch)", "id": "Bahasa Indonesia (Indonesisch)", - "hr": "Hrvatski (Kroatisch)" + "hr": "Hrvatski (Kroatisch)", + "bs": "Bosnisch" }, "appearance": "Erscheinung", "theme": { @@ -250,7 +251,8 @@ "classification": "Klassifizierung", "actions": "Aktion", "chat": "Chat", - "profiles": "Profile" + "profiles": "Profile", + "features": "Funktionen" }, "unit": { "speed": { diff --git a/web/public/locales/de/components/camera.json b/web/public/locales/de/components/camera.json index e9f39cb8e7..a2b443bd66 100644 --- a/web/public/locales/de/components/camera.json +++ b/web/public/locales/de/components/camera.json @@ -66,7 +66,7 @@ "label": "Kameras", "desc": "Wähle Kameras für diese Gruppe aus." }, - "label": "Kameragruppen", + "label": "Kamera Gruppen", "edit": "Kameragruppe bearbeiten", "success": "Kameragruppe {{name}} wurde gespeichert." }, diff --git a/web/public/locales/de/components/dialog.json b/web/public/locales/de/components/dialog.json index e91a68fe4f..59dac7aeda 100644 --- a/web/public/locales/de/components/dialog.json +++ b/web/public/locales/de/components/dialog.json @@ -64,20 +64,73 @@ "toast": { "error": { "endTimeMustAfterStartTime": "Die Endzeit darf nicht vor der Startzeit liegen", - "failed": "Fehler beim Starten des Exports: {{error}}", + "failed": "Fehler beim Export in die Warteschlange: {{error}}", "noVaildTimeSelected": "Kein gültiger Zeitraum ausgewählt" }, "success": "Export erfolgreich gestartet. Die Datei befindet sich auf der Exportseite.", - "view": "Ansicht" + "view": "Ansicht", + "queued": "Export in Warteschlange gestellt. Fortschritt auf der Exportseite verfolgen.", + "batchSuccess_one": "1 Export gestartet. Öffne den Fall jetzt.", + "batchSuccess_other": "{{count}} Exports gestartet. Öffne den Fall jetzt.", + "batchPartial": "{{successful}} von {{total}} Exporten gestartet. Fehlgeschlagene Kameras: {{failedCameras}}", + "batchFailed": "Fehler beim Starten der {{total}} Exporte. Fehlgeschlagene Kameras: {{failedCameras}}", + "batchQueuedSuccess_one": "1 Export in die Warteschlange gestellt. Fall wird jetzt geöffnet.", + "batchQueuedSuccess_other": "{{count}} Exporte in der Warteschlange. Fall wird jetzt geöffnet.", + "batchQueuedPartial": "{{successful}} von {{total}} Exporten in die Warteschlange gestellt. Fehlerhafte Kameras: {{failedCameras}}", + "batchQueueFailed": "Fehler beim Einreihen von {{total}} Exporten in die Warteschlange. Fehlerhafte Kameras: {{failedCameras}}" }, "fromTimeline": { "saveExport": "Export speichern", - "previewExport": "Exportvorschau" + "previewExport": "Exportvorschau", + "queueingExport": "Export wird in die Warteschlange gestellt...", + "useThisRange": "Nutzen Sie diesen Bereich" }, "export": "Exportieren", "case": { "label": "Fall", - "placeholder": "Einen Fall auswählen" + "placeholder": "Einen Fall auswählen", + "newCaseOption": "Einen neuen Fall erstellen", + "newCaseNamePlaceholder": "Neuer Fallname", + "newCaseDescriptionPlaceholder": "Fall Beschreibung", + "nonAdminHelp": "Für diese Exporte wird ein neuer Fall angelegt." + }, + "queueing": "Export wird in die Warteschlange gestellt...", + "tabs": { + "export": "Einzelne Kamera", + "multiCamera": "Mehrere-Kameras" + }, + "multiCamera": { + "timeRange": "Zeitbereich", + "selectFromTimeline": "Wählen Sie aus der Zeitleiste aus", + "cameraSelection": "Kameras", + "cameraSelectionHelp": "Kameras, die in diesem Zeitbereich Objekte verfolgen, sind vorausgewählt", + "checkingActivity": "Kameraaktivität wird überprüft...", + "noCameras": "keine kamaeras verfügbar", + "detectionCount_one": "1 verfolgtes Objekt", + "detectionCount_other": "{{count}} verfolgtesObjekte", + "nameLabel": "Export Name", + "namePlaceholder": "Optionaler Basisname für diese Exporte", + "queueingButton": "Exporte werden in die Warteschlange gestellt...", + "exportButton_one": "Export 1 Kamera", + "exportButton_other": "xport {{count}} Kameras" + }, + "multi": { + "title_one": "1 Bewertung exportieren", + "title_other": "{{count}} Bewertung exportieren", + "description": "Exportieren Sie jede ausgewählte Rezension. Alle Exporte werden in einem einzigen Fall zusammengefasst.", + "descriptionNoCase": "Jede ausgewählte Bewertung exportieren.", + "caseNamePlaceholder": "Export prüfen - {{date}}", + "exportButton_one": "1 Bewertung exportieren", + "exportButton_other": "{{count}} Bewertung exportieren", + "exportingButton": "Exportieren...", + "toast": { + "started_one": "1 Export gestartet. Fall wird jetzt geöffnet.", + "started_other": "{{count}} Exporte gestartet. Fall wird jetzt geöffnet.", + "startedNoCase_one": "1 Export gestartet.", + "startedNoCase_other": "{{count}} Exports gestartet.", + "partial": "{{successful}} von {{total}} Exporten gestartet. Fehlgeschlagen: {{failedItems}}", + "failed": "Fehler beim Starten der {{total}} Exporte. Fehler: {{failedItems}}" + } } }, "streaming": { @@ -125,6 +178,14 @@ "markAsReviewed": "Als geprüft markieren", "deleteNow": "Jetzt löschen", "markAsUnreviewed": "Als ungeprüft markieren" + }, + "shareTimestamp": { + "label": "Zeitstempel teilen", + "title": "Zeitstempel teilen", + "description": "Teile eine URL mit Zeitstempel, die die aktuelle Position des Players angibt, oder wähle einen benutzerdefinierten Zeitstempel aus. Beachte, dass es sich hierbei nicht um eine öffentliche Freigabe-URL handelt und dass nur Benutzer Zugriff darauf haben, die Zugriff auf Frigate und diese Kamera haben.", + "custom": "Benutzerdefinierter Zeitstempel", + "button": "URL des Zeitstempels teilen", + "shareTitle": "Zeitstempel der Fregattenbewertung: {{camera}}" } }, "imagePicker": { diff --git a/web/public/locales/de/components/player.json b/web/public/locales/de/components/player.json index 56a1950539..ad56cf2ce4 100644 --- a/web/public/locales/de/components/player.json +++ b/web/public/locales/de/components/player.json @@ -3,7 +3,8 @@ "noPreviewFound": "Keine Vorschau gefunden", "submitFrigatePlus": { "title": "Dieses Bild an Frigate+ senden?", - "submit": "Senden" + "submit": "Absenden", + "previewError": "Schnappschuss Vorschau konnte nicht geladen werden. Die Aufnahme ist möglicherweise derzeit nicht verfügbar." }, "livePlayerRequiredIOSVersion": "iOS 17.1 oder höher ist für diesen Typ eines Live-Streams erforderlich.", "streamOffline": { diff --git a/web/public/locales/de/config/cameras.json b/web/public/locales/de/config/cameras.json index 9a0ab8b174..126295932d 100644 --- a/web/public/locales/de/config/cameras.json +++ b/web/public/locales/de/config/cameras.json @@ -9,7 +9,7 @@ "description": "Aktiviert" }, "audio": { - "label": "Audioereignisse", + "label": "Audioerkennung", "description": "Einstellungen für audiobasierte Ereigniserkennung für diese Kamera.", "enabled": { "label": "Aktivieren der Audioerkennung", @@ -25,7 +25,11 @@ }, "filters": { "label": "Audiofilter", - "description": "Filtereinstellungen pro Audiotyp, wie z. B. Konfidenzschwellenwerte, die zur Reduzierung von Fehlalarmen verwendet werden." + "description": "Filtereinstellungen pro Audiotyp, wie z. B. Konfidenzschwellenwerte, die zur Reduzierung von Fehlalarmen verwendet werden.", + "threshold": { + "label": "Mindestvertrauensgrad für Audio", + "description": "Mindestschwellenwert für die Zuverlässigkeit, damit das Audioereignis gezählt wird." + } }, "max_not_heard": { "label": "Ende Timeout", @@ -537,6 +541,10 @@ "hwaccel_args": { "label": "hwaccel-Argumente exportieren", "description": "Argumente für die Hardwarebeschleunigung bei Export- und Transkodierungsvorgängen." + }, + "max_concurrent": { + "label": "Maximale Anzahl gleichzeitiger Exporte", + "description": "Maximale Anzahl der gleichzeitig zu verarbeitenden Exportaufträge." } }, "preview": { diff --git a/web/public/locales/de/config/global.json b/web/public/locales/de/config/global.json index b7758bfeab..fb319cdecf 100644 --- a/web/public/locales/de/config/global.json +++ b/web/public/locales/de/config/global.json @@ -8,7 +8,7 @@ "description": "Wenn aktiviert, startet Frigate im abgesicherten Modus mit reduzierten Features für die Fehlersuche." }, "audio": { - "label": "Audioereignisse", + "label": "Audioerkennung", "enabled": { "label": "Aktivieren der Audioerkennung", "description": "Aktivieren oder deaktivieren Sie die Erkennung von Audioereignissen für alle Kameras; diese Einstellung kann für jede Kamera individuell überschrieben werden." @@ -23,7 +23,11 @@ }, "filters": { "label": "Audiofilter", - "description": "Filtereinstellungen pro Audiotyp, wie z. B. Konfidenzschwellenwerte, die zur Reduzierung von Fehlalarmen verwendet werden." + "description": "Filtereinstellungen pro Audiotyp, wie z. B. Konfidenzschwellenwerte, die zur Reduzierung von Fehlalarmen verwendet werden.", + "threshold": { + "label": "Mindestvertrauensgrad für Audio", + "description": "Mindestschwellenwert für die Zuverlässigkeit, damit das Audioereignis gezählt wird." + } }, "max_not_heard": { "label": "Ende Timeout", @@ -538,8 +542,8 @@ "description": "Aktivieren Sie die prozessbezogene Überwachung der Netzwerkbandbreite für Kamera-FFmpeg-Prozesse und Detektoren (erfordert entsprechende Funktionen)." }, "intel_gpu_device": { - "label": "SR-IOV-Gerät", - "description": "Gerätekennung, die verwendet wird, wenn Intel-GPUs als SR-IOV behandelt werden, um die GPU-Statistiken zu korrigieren." + "label": "Intel GPU", + "description": "PCI-Bus-Adresse oder DRM-Gerätepfad (z. B. /dev/dri/card1), der verwendet wird, um die Intel-GPU-Statistiken einem bestimmten Gerät zuzuordnen, wenn mehrere vorhanden sind." } }, "version_check": { @@ -1357,6 +1361,10 @@ "hwaccel_args": { "label": "hwaccel-Argumente exportieren", "description": "Argumente für die Hardwarebeschleunigung bei Export- und Transkodierungsvorgängen." + }, + "max_concurrent": { + "label": "Maximale Anzahl gleichzeitiger Exporte", + "description": "Maximale Anzahl der gleichzeitig zu verarbeitenden Exportaufträge." } }, "preview": { @@ -1710,7 +1718,7 @@ }, "roles": { "label": "Rollen", - "description": "GenAI-Rollen (Tools, Vision, Einbettungen); ein Anbieter pro Rolle." + "description": "GenAI-Rollen (Nachrichten, Beschreibung, Einbettungen); ein Anbieter pro Rolle." }, "provider_options": { "label": "Anbieter Optionen", diff --git a/web/public/locales/de/objects.json b/web/public/locales/de/objects.json index ae767c61db..4380ef181e 100644 --- a/web/public/locales/de/objects.json +++ b/web/public/locales/de/objects.json @@ -121,5 +121,9 @@ "royal_mail": "Royal-Mail", "school_bus": "Schulbus", "skunk": "Stinktier", - "kangaroo": "Känguruh" + "kangaroo": "Känguruh", + "baby": "Baby", + "baby_stroller": "Kinderwagen", + "rickshaw": "Rikscha", + "rodent": "Nagetier" } diff --git a/web/public/locales/de/views/chat.json b/web/public/locales/de/views/chat.json new file mode 100644 index 0000000000..7c66676013 --- /dev/null +++ b/web/public/locales/de/views/chat.json @@ -0,0 +1,64 @@ +{ + "documentTitle": "Chat - Frigate", + "title": "Frigate Chat", + "subtitle": "Ihr KI-Assistent für die Kameraverwaltung und Analysen", + "placeholder": "Frag mich alles...", + "error": "Es ist ein Fehler aufgetreten. Bitte versuche es erneut.", + "processing": "Wird verarbeitet...", + "toolsUsed": "Verwendet: {{tools}}", + "showTools": "Werkzeuge anzeigen ({{count}})", + "hideTools": "Werkzeuge ausblenden", + "call": "Anruf", + "result": "Ergebnis", + "arguments": "Argumente:", + "response": "Antwort:", + "attachment_chip_label": "{{label}} auf der {{camera}}", + "attachment_chip_remove": "Anhang entfernen", + "open_in_explore": "In „Explore“ öffnen", + "attach_event_aria": "Ereignis {{eventId}} hinzufügen", + "attachment_picker_paste_label": "Oder fügen Sie die Ereignis-ID ein", + "attachment_picker_attach": "Anhängen", + "attachment_picker_placeholder": "Ereignis hinzufügen", + "quick_reply_find_similar": "Ähnliche Sichtungen finden", + "quick_reply_tell_me_more": "Erzähl mir mehr darüber", + "quick_reply_when_else": "Wann wurde es sonst noch gesehen?", + "quick_reply_find_similar_text": "Ähnliche Sichtungen finden.", + "quick_reply_tell_me_more_text": "Erzähl mir mehr darüber.", + "quick_reply_when_else_text": "Wann gab es das sonst noch?", + "anchor": "Referenz", + "similarity_score": "Ähnlichkeit", + "no_similar_objects_found": "Es wurden keine ähnlichen Objekte gefunden.", + "semantic_search_required": "Die semantische Suche muss aktiviert sein, um ähnliche Objekte zu finden.", + "send": "Senden", + "suggested_requests": "Versuchen Sie doch mal zu fragen:", + "starting_requests": { + "show_recent_events": "Aktuelle Ereignisse anzeigen", + "show_camera_status": "Kamerastatus anzeigen", + "recap": "Was ist passiert, während ich weg war?", + "watch_camera": "Beobachten Sie eine Kamera auf Bewegungen" + }, + "starting_requests_prompts": { + "show_recent_events": "Zeige mir die Ereignisse der letzten Stunde", + "show_camera_status": "Wie ist der aktuelle Status meiner Kameras?", + "recap": "Was ist passiert, während ich weg war?", + "watch_camera": "Pass auf die Haustür auf und sag mir Bescheid, wenn jemand kommt" + }, + "new_chat": "Neuer Chat", + "settings": { + "title": "Chat Einstellung", + "show_stats": { + "title": "Statistiken anzeigen", + "desc": "Generierungsrate und Kontextgröße für Chat-Antworten anzeigen.", + "while_generating": "Während der Erstellung", + "always": "Immer" + }, + "auto_scroll": { + "title": "Auto scrollen", + "desc": "Verfolgen Sie neue Nachrichten, sobald sie eintreffen." + } + }, + "stats": { + "context": "{{tokens}} tokens", + "tokens_per_second": "{{rate}} t/s" + } +} diff --git a/web/public/locales/de/views/events.json b/web/public/locales/de/views/events.json index 589a6e1a16..c943bec24a 100644 --- a/web/public/locales/de/views/events.json +++ b/web/public/locales/de/views/events.json @@ -25,7 +25,9 @@ }, "documentTitle": "Überprüfung - Frigate", "recordings": { - "documentTitle": "Aufnahmen - Frigate" + "documentTitle": "Aufnahmen - Frigate", + "invalidSharedLink": "Der Link zur zeitgestempelten Aufzeichnung kann aufgrund eines Parsing-Fehlers nicht geöffnet werden.", + "invalidSharedCamera": "Der Link zur zeitgestempelten Aufzeichnung kann nicht geöffnet werden, da es sich um eine unbekannte oder nicht autorisierte Kamera handelt." }, "calendarFilter": { "last24Hours": "Letzte 24 Stunden" diff --git a/web/public/locales/de/views/explore.json b/web/public/locales/de/views/explore.json index 5ca822d746..071d887905 100644 --- a/web/public/locales/de/views/explore.json +++ b/web/public/locales/de/views/explore.json @@ -73,7 +73,7 @@ "label": "Schnappschuss Bewertung" }, "score": { - "label": "Ergebnis" + "label": "Treffer" }, "editAttributes": { "title": "Attribute bearbeiten", @@ -282,7 +282,10 @@ "zones": "Zonen", "ratio": "Verhältnis", "area": "Bereich", - "score": "Bewertung" + "score": "Bewertung", + "computedScore": "Berechnetes Ergebnis", + "topScore": "Bester Treffer", + "toggleAdvancedScores": "Erweiterte Ergebnisse umschalten" } }, "annotationSettings": { diff --git a/web/public/locales/de/views/exports.json b/web/public/locales/de/views/exports.json index 26d3eae16a..da604de91a 100644 --- a/web/public/locales/de/views/exports.json +++ b/web/public/locales/de/views/exports.json @@ -14,7 +14,9 @@ "toast": { "error": { "renameExportFailed": "Umbenennen des Exports fehlgeschlagen: {{errorMessage}}", - "assignCaseFailed": "Aktualisierung der Fallzuweisung fehlgeschlagen: {{errorMessage}}" + "assignCaseFailed": "Aktualisierung der Fallzuweisung fehlgeschlagen: {{errorMessage}}", + "caseSaveFailed": "Fehler beim speichern vom Fall: {{errorMessage}}", + "caseDeleteFailed": "Fehler beim löschem vom Fall: {{errorMessage}}" } }, "tooltip": { @@ -22,7 +24,8 @@ "downloadVideo": "Video herunterladen", "editName": "Name ändern", "deleteExport": "Export löschen", - "assignToCase": "Hinzufügen zum Fall" + "assignToCase": "Hinzufügen zum Fall", + "removeFromCase": "Vom Gehäuse entfernen" }, "headings": { "cases": "Fälle", @@ -35,5 +38,91 @@ "newCaseOption": "Neuen Fall erstellen", "nameLabel": "Fallname", "descriptionLabel": "Beschreibung" + }, + "toolbar": { + "newCase": "Neuer Fall", + "addExport": "Zum expotieren hinzufügen", + "editCase": "Fall bearbeiten", + "deleteCase": "Fall löschen" + }, + "deleteCase": { + "label": "Fall löschen", + "desc": "Sind sie sich sicher löschen von{{caseName}}?", + "descKeepExports": "Exporte bleiben als nicht kategorisierte Exporte verfügbar.", + "descDeleteExports": "Alle Exporte werden in diesem Fall endgültig gelöscht.", + "deleteExports": "Exporte auch löschen" + }, + "caseCard": { + "emptyCase": "Noch keine Exporte" + }, + "jobCard": { + "defaultName": "{{camera}} export", + "queued": "In der Warteschlange", + "running": "läuft", + "preparing": "Vorbereitung", + "copying": "kopieren", + "encoding": "Codierung", + "encodingRetry": "Kodierung (Wiederholung)", + "finalizing": "Abschließen" + }, + "caseView": { + "noDescription": "keine Beschreibung", + "createdAt": "Erstellt {{value}}", + "exportCount_one": "1 Export", + "exportCount_other": "{{count}} Exports", + "cameraCount_one": "1 Kamera", + "cameraCount_other": "{{count}} Kameras", + "showMore": "Mehr anzeigen", + "showLess": "Weniger Anzeigen", + "emptyTitle": "Der Fall ist leer", + "emptyDescription": "Fügen Sie vorhandene, nicht kategorisierte Exporte hinzu, um den Fall übersichtlich zu halten.", + "emptyDescriptionNoExports": "Es sind noch keine nicht kategorisierten Exporte zum Hinzufügen verfügbar." + }, + "caseEditor": { + "createTitle": "Fall erstellen", + "editTitle": "Fall bearbeiten", + "namePlaceholder": "Fall Name", + "descriptionPlaceholder": "Fügen Sie Anmerkungen oder Kontext zu diesem Fall hinzu" + }, + "addExportDialog": { + "title": "Export zum {{caseName}} hinzufügen", + "searchPlaceholder": "Suche nach nicht kategorisierten Exporten", + "empty": "Es wurden keine nicht kategorisierten Exporte gefunden, die dieser Suche entsprechen.", + "addButton_one": "1 Export hinzufügen", + "addButton_other": "Fügen Sie {{count}} Exporte hinzu", + "adding": "Hinzufügen..." + }, + "selected_one": "{{count}} ausgewählt", + "selected_other": "{{count}} ausgewählt", + "bulkActions": { + "addToCase": "Zum Fall hinzufügen", + "moveToCase": "Zum Fall wechseln", + "removeFromCase": "Aus dem Fall nehmen", + "delete": "löschen", + "deleteNow": "jetzt löschen" + }, + "bulkDelete": { + "title": "Exporte löschen", + "desc_one": "Möchten Sie den Export {{count}} wirklich löschen?", + "desc_other": "Möchten Sie wirklich {{count}} Exporte löschen?" + }, + "bulkRemoveFromCase": { + "title": "Aus dem Fall nehmen", + "desc_one": "{{count}}-Export aus diesem Fall entfernen?", + "desc_other": "{{count}} Exporte aus diesem Fall entfernen?", + "descKeepExports": "Die Exporte werden in die Kategorie „Nicht kategorisiert“ verschoben.", + "descDeleteExports": "Exporte werden endgültig gelöscht.", + "deleteExports": "Löschen Sie stattdessen Exporte" + }, + "bulkToast": { + "success": { + "delete": "Exporte erfolgreich gelöscht", + "reassign": "Fallzuweisung erfolgreich aktualisiert", + "remove": "Exporte erfolgreich aus dem Fall entfernt" + }, + "error": { + "deleteFailed": "Fehler beim Löschen der Exporte: {{errorMessage}}", + "reassignFailed": "Fehler beim Aktualisieren der Fallzuordnung: {{errorMessage}}" + } } } diff --git a/web/public/locales/de/views/faceLibrary.json b/web/public/locales/de/views/faceLibrary.json index d9269fd0ee..7ece861a78 100644 --- a/web/public/locales/de/views/faceLibrary.json +++ b/web/public/locales/de/views/faceLibrary.json @@ -48,7 +48,11 @@ "title": "Neueste Erkennungen", "aria": "Wähle aktuelle Erkennungen", "empty": "Es gibt keine aktuellen Versuche zur Gesichtserkennung", - "titleShort": "frisch" + "titleShort": "frisch", + "emptyNoLibrary": { + "title": "Gesicht hinzufügen", + "description": "Sie müssen mindestens ein Gesicht zur Bibliothek hinzufügen, damit die Gesichtserkennung funktioniert." + } }, "deleteFaceLibrary": { "title": "Lösche Name", diff --git a/web/public/locales/de/views/live.json b/web/public/locales/de/views/live.json index 854886b363..5405265314 100644 --- a/web/public/locales/de/views/live.json +++ b/web/public/locales/de/views/live.json @@ -62,7 +62,8 @@ }, "recording": { "disable": "Aufzeichnung deaktivieren", - "enable": "Aufzeichnung aktivieren" + "enable": "Aufzeichnung aktivieren", + "disabledInConfig": "Aufnahme muss erst in den Einstellung für diese Kamera aktiviert werden." }, "snapshots": { "enable": "Schnappschüsse aktivieren", diff --git a/web/public/locales/de/views/motionSearch.json b/web/public/locales/de/views/motionSearch.json new file mode 100644 index 0000000000..3008f10d85 --- /dev/null +++ b/web/public/locales/de/views/motionSearch.json @@ -0,0 +1,75 @@ +{ + "documentTitle": "Bewegungssuche - Frigate", + "title": "Bewegungssuche", + "description": "Zeichnen Sie ein Polygon, um den gewünschten Bereich zu definieren, und geben Sie einen Zeitbereich an, um innerhalb dieses Bereichs nach Bewegungsänderungen zu suchen.", + "selectCamera": "Die Bewegungssuche wird geladen", + "startSearch": "Suche starten", + "searchStarted": "Die Suche wurde gestartet", + "searchCancelled": "Suche abgebrochen", + "cancelSearch": "Abbrechen", + "searching": "Suche läuft.", + "searchComplete": "Suche abgeschlossen", + "noResultsYet": "Führen Sie eine Suche durch, um Bewegungsänderungen im ausgewählten Bereich zu finden", + "noChangesFound": "Im ausgewählten Bereich wurden keine Pixeländerungen festgestellt", + "changesFound_one": "Es wurde {{count}} Bewegungsänderungen gefunden", + "changesFound_other": "Es wurden {{count}} Bewegungsänderungen gefunden", + "framesProcessed": "{{count}} Bilder verarbeitet", + "jumpToTime": "Zu diesem Zeitpunkt springen", + "results": "Ergebnisse", + "showSegmentHeatmap": "Heatmap", + "newSearch": "Neue Suche", + "clearResults": "Eindeutige Ergebnisse", + "clearROI": "Polygon löschen", + "polygonControls": { + "points_one": "{{count}} Punkt", + "points_other": "{{count}} Punkte", + "undo": "Letzten Schritt rückgängig machen", + "reset": "Polygon zurücksetzen" + }, + "motionHeatmapLabel": "Bewegungs-Heatmap", + "dialog": { + "title": "Bewegungssuche", + "cameraLabel": "Kamera", + "previewAlt": "Kamera-Vorschau für {{camera}}" + }, + "timeRange": { + "title": "Suchbereich", + "start": "Startzeit", + "end": "Endzeit" + }, + "settings": { + "title": "Sucheinstellungen", + "parallelMode": "Parallelbetrieb", + "parallelModeDesc": "Mehrere Aufzeichnungssegmente gleichzeitig scannen (schneller, aber deutlich rechenintensiver)", + "threshold": "Empfindlichkeitsschwelle", + "thresholdDesc": "Niedrigere Werte erkennen geringere Veränderungen (1–255)", + "minArea": "Mindestwechselbereich", + "minAreaDesc": "Mindestanteil der untersuchten Region, der sich ändern muss, damit die Veränderung als signifikant gilt", + "frameSkip": "Bild überspringen", + "frameSkipDesc": "Verarbeite jeden N-ten Frame. Stelle diesen Wert auf die Bildrate deiner Kamera ein, um einen Frame pro Sekunde zu verarbeiten (z. B. 5 für eine Kamera mit 5 FPS, 30 für eine Kamera mit 30 FPS). Höhere Werte sorgen für eine schnellere Verarbeitung, können jedoch kurze Bewegungsabläufe übersehen.", + "maxResults": "Maximale Ergebnisse", + "maxResultsDesc": "Nach dieser Anzahl übereinstimmender Zeitstempel anhalten" + }, + "errors": { + "noCamera": "Bitte wählen Sie eine Kamera aus", + "noROI": "Bitte zeichnen Sie einen Bereich von Interesse ein", + "noTimeRange": "Bitte wählen Sie einen Zeitraum aus", + "invalidTimeRange": "Die Endzeit muss nach der Startzeit liegen", + "searchFailed": "Suche fehlgeschlagen: {{message}}", + "polygonTooSmall": "Ein Polygon muss mindestens 3 Punkte haben", + "unknown": "Unbekannter Fehler" + }, + "changePercentage": "Um {{percentage}} % verändert", + "metrics": { + "title": "Suchmetriken", + "segmentsScanned": "Durchsuchte Segmente", + "segmentsProcessed": "Bearbeitet", + "segmentsSkippedInactive": "Übersprungen (keine Aktivität)", + "segmentsSkippedHeatmap": "Übersprungen (keine Überschneidung der ROI)", + "fallbackFullRange": "Ausweich-Vollbereichsscan", + "framesDecoded": "Rahmen decodiert", + "wallTime": "Suchzeit", + "segmentErrors": "Segmentfehler", + "seconds": "{{seconds}}s" + } +} diff --git a/web/public/locales/de/views/replay.json b/web/public/locales/de/views/replay.json new file mode 100644 index 0000000000..6c28045baa --- /dev/null +++ b/web/public/locales/de/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "Debug-Wiedergabe", + "description": "Spielen Sie Kameraaufnahmen zur Fehlerbehebung ab. Die Objektliste zeigt eine zeitversetzte Übersicht der erkannten Objekte an, und auf der Registerkarte „Meldungen“ wird ein Stream der internen Meldungen von Frigate aus dem Wiedergabematerial angezeigt.", + "websocket_messages": "Nachrichten", + "dialog": { + "title": "Debug-Wiedergabe starten", + "description": "Erstellen Sie eine temporäre Wiedergabekamera, die historisches Bildmaterial in einer Schleife wiedergibt, um Probleme bei der Objekterkennung und -verfolgung zu beheben. Die Wiedergabekamera verfügt über dieselbe Erkennungskonfiguration wie die Quellkamera. Wählen Sie einen Zeitbereich aus, ab dem die Wiedergabe beginnen soll.", + "camera": "Quellkamera", + "timeRange": "Zeitraum", + "preset": { + "1m": "Letzte Minute", + "5m": "Die letzten 5 Minuten", + "timeline": "Aus der Zeitleiste", + "custom": "Benutzerdefiniert" + }, + "startButton": "Wiedergabe starten", + "selectFromTimeline": "Auswählen", + "starting": "Wiedergabe wird gestartet...", + "startLabel": "Start", + "endLabel": "Ende", + "toast": { + "error": "Fehler beim Starten der Debug-Wiedergabe: {{error}}", + "alreadyActive": "Eine Wiederholungssitzung ist bereits aktiv", + "stopError": "Die Wiedergabe der Debug-Daten konnte nicht beendet werden: {{error}}", + "goToReplay": "Zur Aufzeichnung" + } + }, + "page": { + "noSession": "Keine aktive Debug-Wiedergabesitzung", + "noSessionDesc": "Starten Sie eine Debug-Wiedergabe aus der Verlaufsansicht, indem Sie in der Symbolleiste auf die Schaltfläche „Aktionen“ klicken und „Debug-Wiedergabe“ auswählen.", + "goToRecordings": "Zur Historie", + "preparingClip": "Clip wird vorbereitet…", + "preparingClipDesc": "Frigate fasst die Aufzeichnungen für den ausgewählten Zeitraum zusammen. Bei längeren Zeiträumen kann dies eine Minute dauern.", + "startingCamera": "Debug-Wiedergabe wird gestartet…", + "startError": { + "title": "Debug Replay konnte nicht gestartet werden", + "back": "Zurück zur Übersicht" + }, + "sourceCamera": "Quell Kamera", + "replayCamera": "Wiederholungskamera", + "initializingReplay": "Debug-Wiedergabe wird initialisiert...", + "stoppingReplay": "Debug-Wiedergabe wird angehalten...", + "stopReplay": "Stopp Wiederholung", + "confirmStop": { + "title": "Debug-Wiedergabe anhalten?", + "description": "Dadurch wird die Sitzung beendet und alle temporären Daten werden gelöscht. Sind Sie sicher?", + "confirm": "Anhalten Wiederholen", + "cancel": "Abbrechen" + }, + "activity": "Aktivität", + "objects": "Objektliste", + "audioDetections": "Audioerkennungen", + "noActivity": "Es wurde keine Aktivität festgestellt", + "activeTracking": "Aktive Verfolgung", + "noActiveTracking": "Keine aktive Nachverfolgung", + "configuration": "Konfiguration", + "configurationDesc": "Passen Sie die Einstellungen für die Bewegungserkennung und die Objektverfolgung der Debug-Replay-Kamera an. Es werden keine Änderungen in Ihrer Frigate-Konfigurationsdatei gespeichert." + } +} diff --git a/web/public/locales/de/views/settings.json b/web/public/locales/de/views/settings.json index 81606f16ee..5c4028eadf 100644 --- a/web/public/locales/de/views/settings.json +++ b/web/public/locales/de/views/settings.json @@ -45,7 +45,7 @@ "globalMotion": "Bewegungserkennung", "globalObjects": "Objekte", "globalReview": "Überprüfung", - "globalAudioEvents": "Audio Events", + "globalAudioEvents": "Audioerkennung", "globalLivePlayback": "Live-Wiedergabe", "globalTimestampStyle": "Zeitstempelformat", "systemDatabase": "Datenbank", @@ -75,7 +75,7 @@ "cameraMotion": "Bewegungserkennung", "cameraObjects": "Objekte", "cameraConfigReview": "Überprüfung", - "cameraAudioEvents": "Audio Evente", + "cameraAudioEvents": "Audioerkennung", "cameraAudioTranscription": "Audio-Transkription", "cameraNotifications": "Benachrichtigung", "cameraLivePlayback": "Live-Wiedergabe", @@ -345,6 +345,10 @@ "zone": "Zone", "motion_mask": "Bewegungsmaske", "object_mask": "Objektmaske" + }, + "revertOverride": { + "title": "Auf Standardkonfiguration zurücksetzen", + "desc": "Dadurch wird die Profilüberschreibung für {{type}}{{name}} aufgehoben und die Grundkonfiguration wiederhergestellt." } }, "speed": { @@ -507,7 +511,8 @@ "title": "Aktiviert", "description": "Ob diese Maske in der Konfigurationsdatei aktiviert ist. Ist sie deaktiviert, kann sie nicht über MQTT aktiviert werden. Deaktivierte Masken werden zur Laufzeit ignoriert." } - } + }, + "addDisabledProfile": "Fügen Sie es zuerst der Basiskonfiguration hinzu und überschreiben Sie es dann im Profil" }, "debug": { "objectShapeFilterDrawing": { @@ -798,7 +803,15 @@ "availableModels": "Verfügbare Modelle", "loadingAvailableModels": "Lade verfügbare Modelle…", "baseModel": "Basis Model", - "title": "Model Informationen" + "title": "Model Informationen", + "noModelLoaded": "Derzeit ist kein „Frigate+“-Modell geladen.", + "selectModel": "Wählen Sie ein Modell aus", + "noModelsAvailable": "Keine Modelle verfügbar", + "filter": { + "ariaLabel": "Modelle nach Typ filtern", + "baseModels": "Basismodelle", + "fineTunedModels": "Optimierte Modelle" + } }, "toast": { "error": "Speichern der Konfigurationsänderungen fehlgeschlagen: {{errorMessage}}", @@ -1328,7 +1341,8 @@ }, "hikvision": { "substreamWarning": "Substream 1 ist auf eine niedrige Auflösung festgelegt. Viele Hikvision-Kameras unterstützen zusätzliche Substreams, die in den Kameraeinstellungen aktiviert werden müssen. Es wird empfohlen, diese Streams zu überprüfen und zu nutzen, sofern sie verfügbar sind." - } + }, + "resolutionUnknown": "Die Auflösung dieses Streams konnte nicht ermittelt werden. Sie sollten die Erkennungsauflösung manuell in den Einstellungen oder in Ihrer Konfiguration festlegen." } } }, @@ -1345,7 +1359,13 @@ "enableDesc": "Eine aktivierte Kamera vorübergehend deaktivieren, bis Frigate neu gestartet wird. Durch das Deaktivieren einer Kamera wird die Verarbeitung der Streams dieser Kamera durch Frigate vollständig unterbrochen. Erkennung, Aufzeichnung und Fehlerbehebung stehen dann nicht mehr zur Verfügung.
    Hinweis: go2rtc-Restreams werden dadurch nicht deaktiviert.", "disableLabel": "Deaktivierte Kameras", "disableDesc": "Aktivieren Sie eine Kamera, die derzeit in der Benutzeroberfläche nicht sichtbar und in der Konfiguration deaktiviert ist. Nach der Aktivierung ist ein Neustart von Frigate erforderlich.", - "enableSuccess": "{{cameraName}} wurde in der Konfiguration aktiviert. Starte Frigate neu, um die Änderungen zu übernehmen." + "enableSuccess": "{{cameraName}} wurde in der Konfiguration aktiviert. Starte Frigate neu, um die Änderungen zu übernehmen.", + "friendlyName": { + "edit": "Anzeigenamen der Kamera bearbeiten", + "title": "Anzeigenamen bearbeiten", + "description": "Legen Sie den Anzeigenamen fest, der für diese Kamera in der gesamten Benutzeroberfläche von „Frigate“ angezeigt wird. Lassen Sie das Feld leer, um die Kamera-ID zu verwenden.", + "rename": "Umbenennen" + } }, "cameraConfig": { "add": "Kamera hinzufügen", @@ -1395,7 +1415,16 @@ "inherit": "Erben", "enabled": "Aktiviert", "disabled": "Deaktiviert" - } + }, + "cameraType": { + "title": "Kamerytyp", + "label": "Kameratyp", + "description": "Legen Sie den Kameratyp für jede Kamera fest. Spezielle LPR-Kameras sind Kameras mit leistungsstarkem optischen Zoom, um Kennzeichen von weit entfernten Fahrzeugen zu erfassen. Für die meisten Kameras sollte der normale Kameratyp verwendet werden, es sei denn, die Kamera ist speziell für LPR vorgesehen und verfügt über einen stark fokussierten Blickwinkel auf die Kennzeichen.", + "normal": "Normal", + "dedicatedLpr": "Spezielles LPR-System", + "saveSuccess": "Der Kameratyp für {{cameraName}} wurde aktualisiert. Starte Frigate neu, um die Änderungen zu übernehmen." + }, + "description": "Fügen Sie Kameras hinzu, bearbeiten und löschen Sie sie, legen Sie fest, welche Kameras aktiviert sind, und konfigurieren Sie profil- und kameratypabhängige Übersteuerungen. Um Streams, Erkennung, Bewegung und andere kameraspezifische Einstellungen zu konfigurieren, wählen Sie den entsprechenden Abschnitt unter „Kamerakonfiguration“ aus." }, "cameraReview": { "title": "Kamera-Einstellungen überprüfen", @@ -1458,7 +1487,24 @@ "overriddenGlobalTooltip": "Diese Kamera überschreibt globale Konfigurationseinstellungen in diesem Abschnitt", "overriddenBaseConfig": "Überschrieben (Basiskonfiguration)", "overriddenBaseConfigTooltip": "Das {{profile}}-Profil überschreibt Konfigurationseinstellungen in diesem Abschnitt", - "overriddenGlobal": "Überschrieben (Global)" + "overriddenGlobal": "Überschrieben (Global)", + "overriddenInCameras": { + "label_one": "In {{count}} Kamera überschrieben", + "label_other": "In {{count}} Kameras überschrieben", + "tooltip_one": "Die Kamera mit der Nummer {{count}} überschreibt die Werte in diesem Abschnitt. Klicken Sie hier, um Details anzuzeigen.", + "tooltip_other": "Die Kamera mit der Nummer {{count}} überschreibt die Werte in diesem Abschnitt. Klicken Sie hier, um Details anzuzeigen.", + "heading_one": "Dieser globale Abschnitt enthält Felder, die in {{count}} Kamera überschrieben werden.", + "heading_other": "Dieser globale Abschnitt enthält Felder, die bei {{count}} Kameras überschrieben werden.", + "othersField_one": "{{count}} andere", + "othersField_other": "{{count}} weitere", + "profilePrefix": "{{profile}} Profile: {{fields}}" + }, + "overriddenGlobalHeading_one": "Diese Kamera überschreibt das Feld {{count}} aus der globalen Konfiguration:", + "overriddenGlobalHeading_other": "Diese Kamera überschreibt alle Felder {{count}} aus der globalen Konfiguration:", + "overriddenGlobalNoDeltas": "Diese Kamera überschreibt die globale Konfiguration, es gibt jedoch keine Abweichungen bei den Feldwerten.", + "overriddenBaseConfigHeading_one": "Das Profil {{profile}} überschreibt das Feld {{count}} aus der Basiskonfiguration:", + "overriddenBaseConfigHeading_other": "Das Profil {{profile}} überschreibt di Felder {{count}} aus der Basiskonfiguration:", + "overriddenBaseConfigNoDeltas": "Das Profil {{profile}} überschreibt diesen Abschnitt, jedoch weichen keine Feldwerte von der Basiskonfiguration ab." }, "timestampPosition": { "tl": "Oben links", @@ -1486,7 +1532,7 @@ "currentStatus": "Status", "jobId": "Job ID", "startTime": "Startzeit", - "endTime": "Endzeit", + "endTime": "End Zeit", "statusLabel": "Status", "results": "Ergebnisse", "errorLabel": "Fehler", @@ -1647,7 +1693,8 @@ "keyDuplicate": "Der Name des Detektors ist bereits vorhanden.", "noSchema": "Es sind keine Detektorschemata verfügbar.", "none": "Es sind keine Detektorinstanzen konfiguriert.", - "add": "Detektor hinzufügen" + "add": "Detektor hinzufügen", + "addCustomKey": "Benutzter Schlüssel hinzufügen" }, "record": { "title": "Aufnahmeeinstellungen" @@ -1694,7 +1741,9 @@ "options": { "embeddings": "Einbetten", "vision": "Vision", - "tools": "Werkzeuge" + "tools": "Werkzeuge", + "descriptions": "Beschreibung", + "chat": "Chat" } }, "semanticSearchModel": { @@ -1718,7 +1767,16 @@ "title": "Einstellungen für Zeitstempel" }, "searchPlaceholder": "Suche...", - "addCustomLabel": "Benutzerdefiniertes Etikett hinzufügen..." + "addCustomLabel": "Benutzerdefiniertes Etikett hinzufügen...", + "knownPlates": { + "namePlaceholder": "z.B. das Auto der Frau", + "platePlaceholder": "Kennzeichen oder regulärer Ausdruck" + }, + "genaiModel": { + "placeholder": "Modell auswählen…", + "search": "Modell suchen…", + "noModels": "Keine Modelle verfügbar" + } }, "globalConfig": { "title": "Globale Konfiguration", @@ -1843,13 +1901,21 @@ }, "onvif": { "profileAuto": "Auto", - "profileLoading": "Profile werden geladen..." + "profileLoading": "Profile werden geladen...", + "autotracking": { + "zooming": { + "disabled": "deaktiviert", + "absolute": "Absolut", + "relative": "Verwandter" + } + } }, "configMessages": { "review": { "recordDisabled": "Aufnahme ist deaktiviert, Überprüfungspunkt konnte nicht erstellt werden.", "detectDisabled": "Die Objekterkennung ist deaktiviert. Für die Überprüfung von Elementen müssen Objekte erkannt werden, um Warnmeldungen und Erkennungen zu kategorisieren.", - "allNonAlertDetections": "Alle Aktivitäten, die keine Warnmeldungen auslösen, werden als Erkennungen erfasst." + "allNonAlertDetections": "Alle Aktivitäten, die keine Warnmeldungen auslösen, werden als Erkennungen erfasst.", + "genaiImageSourceRecordingsRecordDisabled": "Als Bildquelle ist „Aufnahmen“ eingestellt, die Aufnahmefunktion ist jedoch deaktiviert. Frigate greift in diesem Fall auf Vorschaubilder zurück." }, "audio": { "noAudioRole": "Für keinen Stream ist die Audio-Rolle definiert. Sie müssen die Audio-Rolle aktivieren, damit die Audioerkennung funktioniert." @@ -1858,15 +1924,18 @@ "audioDetectionDisabled": "Die Audioerkennung ist für diese Kamera nicht aktiviert. Für die Audio-Transkription muss die Audioerkennung aktiviert sein." }, "detect": { - "fpsGreaterThanFive": "Es wird nicht empfohlen, den Wert für die FPS-Erkennung auf mehr als 5 einzustellen." + "fpsGreaterThanFive": "Es wird nicht empfohlen, den Wert für die FPS-Erkennung auf mehr als 5 zu setzen. Höhere Werte können zu Leistungseinbußen führen und bieten keinerlei Vorteile.", + "disabled": "Die Objekterkennung ist deaktiviert. Momentaufnahmen, Überprüfungselemente und Erweiterungsfunktionen wie Gesichtserkennung, Kennzeichenerkennung und generative KI funktionieren nicht." }, "faceRecognition": { - "globalDisabled": "Die Gesichtserkennung ist auf globaler Ebene nicht aktiviert. Aktivieren Sie sie in den globalen Einstellungen, damit die Gesichtserkennung auf Kameraebene funktioniert.", - "personNotTracked": "Für die Gesichtserkennung muss das Objekt „person“ verfolgt werden. Stellen Sie sicher, dass „person“ in der Objektverfolgungsliste enthalten ist." + "globalDisabled": "Die Gesichtserkennungserweiterung muss aktiviert sein, damit die Gesichtserkennungsfunktionen bei dieser Kamera funktionieren.", + "personNotTracked": "Für die Gesichtserkennung muss das Objekt „Person“ verfolgt werden. Aktivieren Sie „Person“ unter „Objekte“ für diese Kamera.", + "modelSizeLarge": "Das „große“ Modell erfordert eine GPU oder NPU, um eine angemessene Leistung zu erzielen. Verwenden Sie auf reinen CPU-Systemen die Option „klein“." }, "lpr": { - "globalDisabled": "Die Kennzeichenerkennung ist auf globaler Ebene nicht aktiviert. Aktivieren Sie sie in den globalen Einstellungen, damit die Kennzeichenerkennung auf Kameraebene funktioniert.", - "vehicleNotTracked": "Für die Kennzeichenerkennung muss entweder ein „Pkw“ oder ein „Motorrad“ erfasst werden." + "globalDisabled": "Die Erweiterung zur Kennzeichenerkennung muss aktiviert sein, damit die LPR-Funktionen bei dieser Kamera funktionieren.", + "vehicleNotTracked": "Für die Kennzeichenerkennung muss entweder „Auto“ oder „Motorrad“ erfasst werden. Aktivieren Sie „Auto“ oder „Motorrad“ unter „Objekte“ für diese Kamera.", + "modelSizeLarge": "Das „große“ Modell ist für mehrzeilige Kennzeichen optimiert. Das „kleine“ Modell bietet eine bessere Leistung als das „große“ und sollte verwendet werden, sofern in Ihrer Region keine mehrzeiligen Kennzeichenformate verwendet werden." }, "record": { "noRecordRole": "Für keinen Stream ist die Rolle „Record“ definiert. Die Aufzeichnung funktioniert nicht." @@ -1876,6 +1945,71 @@ }, "snapshots": { "detectDisabled": "Die Objekterkennung ist deaktiviert. Es werden keine Momentaufnahmen von verfolgten Objekten erstellt." + }, + "detectors": { + "mixedTypes": "Alle Detektoren müssen von gleichem Typ sein, Entferne bestehende Detektoren um einen anderen Typ zu benutzen.", + "mixedTypesSuggestion": "Alle Detektoren müssen vom gleichem Typ sein. Entferne bestehende oder wähle {{type}}." + }, + "objects": { + "genaiNoDescriptionsProvider": "Sie müssen einen GenAI-Anbieter mit der Rolle „Beschreibung“ konfigurieren, damit Beschreibungen generiert werden können." + }, + "semanticSearch": { + "jinav2SmallModelSize": "Die „kleine“ Variante des Jina V2-Modells verursacht hohe RAM- und Inferenzkosten. Es wird das „große“ Modell mit einer dedizierten GPU empfohlen." } + }, + "birdseye": { + "trackingMode": { + "objects": "Objekte", + "motion": "Bewegung", + "continuous": "Fortlaufend" + } + }, + "retainMode": { + "all": "Alle", + "motion": "Bewegung", + "active_objects": "Aktive Objekte" + }, + "previewQuality": { + "very_high": "sehr hoch", + "high": "hoch", + "medium": "Mittel", + "low": "niedrig", + "very_low": "sehr niedrig" + }, + "ui": { + "timeFormat": { + "browser": "Browser", + "12hour": "12 Stunden", + "24hour": "24 Stunden" + }, + "TimeOrDateStyle": { + "full": "vollständig", + "long": "lang", + "medium": "mittel", + "short": "kurz" + }, + "unitSystem": { + "metric": "Metrik", + "imperial": "Imperial" + } + }, + "review": { + "imageSource": { + "recordings": "Aufnahmen", + "previews": "Vorschau" + } + }, + "logger": { + "logLevel": { + "debug": "Debug", + "info": "Info", + "warning": "Warnung", + "error": "Fehler", + "critical": "Kritisch" + } + }, + "modelSize": { + "small": "klein", + "large": "groß" } } diff --git a/web/public/locales/de/views/system.json b/web/public/locales/de/views/system.json index 3b41b03b7f..20d5cc1fa4 100644 --- a/web/public/locales/de/views/system.json +++ b/web/public/locales/de/views/system.json @@ -213,6 +213,9 @@ "expectedFps": "Erwartete FPS", "reconnectsLastHour": "Wiederverbindungen (letzte Stunde)", "stallsLastHour": "Stände (letzte Stunde)" + }, + "noCameras": { + "title": "keine Kameras gefunden" } }, "enrichments": { diff --git a/web/public/locales/el/config/cameras.json b/web/public/locales/el/config/cameras.json index 0967ef424b..b9d465ec92 100644 --- a/web/public/locales/el/config/cameras.json +++ b/web/public/locales/el/config/cameras.json @@ -1 +1,3 @@ -{} +{ + "label": "Ρύθμιση της κάμερας" +} diff --git a/web/public/locales/el/config/global.json b/web/public/locales/el/config/global.json index 0967ef424b..5b60515cb1 100644 --- a/web/public/locales/el/config/global.json +++ b/web/public/locales/el/config/global.json @@ -1 +1,14 @@ -{} +{ + "version": { + "label": "Τρέχουσα έκδοση διαμόρφωσης" + }, + "safe_mode": { + "label": "Ασφαλής λειτουργία" + }, + "auth": { + "reset_admin_password": { + "label": "Επανέφερε κωδικού πρόσβασης για τον διαχειριστή admin", + "description": "Άμα είναι αλήθεια, επαναφέρει τον κωδικό πρόσβασης του χρήστη διαχειριστή(admin) κατά την εκκίνηση και εκτύπωση του νέου κωδικού πρόσβασης στα αρχείο καταγραφής(logs)" + } + } +} diff --git a/web/public/locales/el/config/groups.json b/web/public/locales/el/config/groups.json index 0967ef424b..23a118f019 100644 --- a/web/public/locales/el/config/groups.json +++ b/web/public/locales/el/config/groups.json @@ -1 +1,7 @@ -{} +{ + "audio": { + "global": { + "detection": "Παγκόσμια Ανίχνευση" + } + } +} diff --git a/web/public/locales/el/config/validation.json b/web/public/locales/el/config/validation.json index 0967ef424b..d99e52717b 100644 --- a/web/public/locales/el/config/validation.json +++ b/web/public/locales/el/config/validation.json @@ -1 +1,3 @@ -{} +{ + "minimum": "Πρέπει να είναι τουλάχιστον {{limit}}" +} diff --git a/web/public/locales/el/views/chat.json b/web/public/locales/el/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/el/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/el/views/motionSearch.json b/web/public/locales/el/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/el/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/el/views/replay.json b/web/public/locales/el/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/el/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/en/common.json b/web/public/locales/en/common.json index de17f444b5..4436808d08 100644 --- a/web/public/locales/en/common.json +++ b/web/public/locales/en/common.json @@ -207,6 +207,7 @@ "th": "ไทย (Thai)", "ca": "Català (Catalan)", "hr": "Hrvatski (Croatian)", + "bs": "Bosanski (Bosnian)", "sr": "Српски (Serbian)", "sl": "Slovenščina (Slovenian)", "lt": "Lietuvių (Lithuanian)", @@ -257,6 +258,7 @@ "export": "Export", "actions": "Actions", "uiPlayground": "UI Playground", + "features": "Features", "faceLibrary": "Face Library", "classification": "Classification", "chat": "Chat", @@ -314,5 +316,8 @@ "pixels": "{{area}}px" }, "no_items": "No items", - "validation_errors": "Validation Errors" + "validation_errors": "Validation Errors", + "credentialField": { + "savedPlaceholder": "Saved — leave blank to keep current" + } } diff --git a/web/public/locales/en/config/cameras.json b/web/public/locales/en/config/cameras.json index 1b524c347d..4f2c0ea01e 100644 --- a/web/public/locales/en/config/cameras.json +++ b/web/public/locales/en/config/cameras.json @@ -13,7 +13,7 @@ "description": "Enabled" }, "audio": { - "label": "Audio events", + "label": "Audio detection", "description": "Settings for audio-based event detection for this camera.", "enabled": { "label": "Enable audio detection", @@ -33,7 +33,11 @@ }, "filters": { "label": "Audio filters", - "description": "Per-audio-type filter settings such as confidence thresholds used to reduce false positives." + "description": "Per-audio-type filter settings such as confidence thresholds used to reduce false positives.", + "threshold": { + "label": "Minimum audio confidence", + "description": "Minimum confidence threshold for the audio event to be counted." + } }, "enabled_in_config": { "label": "Original audio state", @@ -485,6 +489,10 @@ "hwaccel_args": { "label": "Export hwaccel args", "description": "Hardware acceleration args to use for export/transcode operations." + }, + "max_concurrent": { + "label": "Maximum concurrent exports", + "description": "Maximum number of export jobs to process at the same time." } }, "preview": { diff --git a/web/public/locales/en/config/global.json b/web/public/locales/en/config/global.json index 69c77fad11..1f5c39248c 100644 --- a/web/public/locales/en/config/global.json +++ b/web/public/locales/en/config/global.json @@ -242,8 +242,8 @@ "description": "Enable per-process network bandwidth monitoring for camera ffmpeg processes and detectors (requires capabilities)." }, "intel_gpu_device": { - "label": "SR-IOV device", - "description": "Device identifier used when treating Intel GPUs as SR-IOV to fix GPU stats." + "label": "Intel GPU device", + "description": "PCI bus address or DRM device path (e.g. /dev/dri/card1) used to pin Intel GPU stats to a specific device when multiple are present." } }, "version_check": { @@ -539,7 +539,7 @@ } }, "audio": { - "label": "Audio events", + "label": "Audio detection", "description": "Settings for audio-based event detection for all cameras; can be overridden per-camera.", "enabled": { "label": "Enable audio detection", @@ -559,7 +559,11 @@ }, "filters": { "label": "Audio filters", - "description": "Per-audio-type filter settings such as confidence thresholds used to reduce false positives." + "description": "Per-audio-type filter settings such as confidence thresholds used to reduce false positives.", + "threshold": { + "label": "Minimum audio confidence", + "description": "Minimum confidence threshold for the audio event to be counted." + } }, "enabled_in_config": { "label": "Original audio state", @@ -917,6 +921,41 @@ "label": "Original GenAI state", "description": "Indicates whether GenAI was enabled in the original static config." } + }, + "filters_attribute": { + "label": "Attribute filters", + "description": "Filters applied to detected attributes to reduce false positives (area, ratio, confidence).", + "min_area": { + "label": "Minimum attribute area", + "description": "Minimum bounding box area (pixels or percentage) required for this attribute. Can be pixels (int) or percentage (float between 0.000001 and 0.99)." + }, + "max_area": { + "label": "Maximum attribute area", + "description": "Maximum bounding box area (pixels or percentage) allowed for this attribute. Can be pixels (int) or percentage (float between 0.000001 and 0.99)." + }, + "min_ratio": { + "label": "Minimum aspect ratio", + "description": "Minimum width/height ratio required for the bounding box to qualify." + }, + "max_ratio": { + "label": "Maximum aspect ratio", + "description": "Maximum width/height ratio allowed for the bounding box to qualify." + }, + "threshold": { + "label": "Confidence threshold", + "description": "Average detection confidence threshold required for the attribute to be considered a true positive." + }, + "min_score": { + "label": "Minimum confidence", + "description": "Minimum single-frame detection confidence required to associate this attribute with its parent object." + }, + "mask": { + "label": "Filter mask", + "description": "Polygon coordinates defining where this filter applies within the frame." + }, + "raw_mask": { + "label": "Raw Mask" + } } }, "record": { @@ -1000,6 +1039,10 @@ "hwaccel_args": { "label": "Export hwaccel args", "description": "Hardware acceleration args to use for export/transcode operations." + }, + "max_concurrent": { + "label": "Maximum concurrent exports", + "description": "Maximum number of export jobs to process at the same time." } }, "preview": { diff --git a/web/public/locales/en/objects.json b/web/public/locales/en/objects.json index 1315104be4..d48f609a13 100644 --- a/web/public/locales/en/objects.json +++ b/web/public/locales/en/objects.json @@ -121,5 +121,9 @@ "royal_mail": "Royal Mail", "school_bus": "School Bus", "skunk": "Skunk", - "kangaroo": "Kangaroo" + "kangaroo": "Kangaroo", + "baby": "Baby", + "baby_stroller": "Baby Stroller", + "rickshaw": "Rickshaw", + "rodent": "Rodent" } diff --git a/web/public/locales/en/views/chat.json b/web/public/locales/en/views/chat.json index 6d78dc71f8..363b0e68e4 100644 --- a/web/public/locales/en/views/chat.json +++ b/web/public/locales/en/views/chat.json @@ -42,5 +42,31 @@ "show_camera_status": "What is the current status of my cameras?", "recap": "What happened while I was away?", "watch_camera": "Watch the front door and let me know if anyone shows up" + }, + "new_chat": "New chat", + "settings": { + "title": "Chat settings", + "show_stats": { + "title": "Show stats", + "desc": "Show generation rate and context size for chat responses.", + "while_generating": "While generating", + "always": "Always" + }, + "auto_scroll": { + "title": "Auto-scroll", + "desc": "Follow new messages as they arrive." + } + }, + "stats": { + "context": "{{tokens}} tokens", + "tokens_per_second": "{{rate}} t/s" + }, + "reasoning": { + "active": "Reasoning…", + "show": "Show reasoning", + "hide": "Hide reasoning" + }, + "thinking": { + "toggle": "Toggle thinking" } } diff --git a/web/public/locales/en/views/explore.json b/web/public/locales/en/views/explore.json index 43db9bda48..d1087b3c96 100644 --- a/web/public/locales/en/views/explore.json +++ b/web/public/locales/en/views/explore.json @@ -222,7 +222,7 @@ "label": "Hide object path" }, "debugReplay": { - "label": "Debug replay", + "label": "Debug Replay", "aria": "View this tracked object in the debug replay view" }, "more": { diff --git a/web/public/locales/en/views/faceLibrary.json b/web/public/locales/en/views/faceLibrary.json index 4f8a9cf2da..27e5454601 100644 --- a/web/public/locales/en/views/faceLibrary.json +++ b/web/public/locales/en/views/faceLibrary.json @@ -32,7 +32,11 @@ "title": "Recent Recognitions", "titleShort": "Recent", "aria": "Select recent recognitions", - "empty": "There are no recent face recognition attempts" + "empty": "There are no recent face recognition attempts", + "emptyNoLibrary": { + "title": "Upload a face", + "description": "You must add at least one face to the library for face recognition to function." + } }, "deleteFaceLibrary": { "title": "Delete Name", diff --git a/web/public/locales/en/views/live.json b/web/public/locales/en/views/live.json index 37e6b15dbb..3aa892222a 100644 --- a/web/public/locales/en/views/live.json +++ b/web/public/locales/en/views/live.json @@ -70,7 +70,8 @@ }, "recording": { "enable": "Enable Recording", - "disable": "Disable Recording" + "disable": "Disable Recording", + "disabledInConfig": "Recording must first be enabled in Settings for this camera." }, "snapshots": { "enable": "Enable Snapshots", diff --git a/web/public/locales/en/views/replay.json b/web/public/locales/en/views/replay.json index a966626f5f..e8f50d7b7e 100644 --- a/web/public/locales/en/views/replay.json +++ b/web/public/locales/en/views/replay.json @@ -19,26 +19,31 @@ "startLabel": "Start", "endLabel": "End", "toast": { - "success": "Debug replay started successfully", "error": "Failed to start debug replay: {{error}}", "alreadyActive": "A replay session is already active", - "stopped": "Debug replay stopped", "stopError": "Failed to stop debug replay: {{error}}", "goToReplay": "Go to Replay" } }, "page": { - "noSession": "No Active Replay Session", - "noSessionDesc": "Start a debug replay from the History view by clicking the Debug Replay button in the toolbar.", + "noSession": "No Active Debug Replay Session", + "noSessionDesc": "Start a Debug Replay from History view by clicking the Actions button in the toolbar and choosing Debug Replay.", "goToRecordings": "Go to History", + "preparingClip": "Preparing clip…", + "preparingClipDesc": "Frigate is stitching together recordings for the selected time range. This can take a minute for longer ranges.", + "startingCamera": "Starting Debug Replay…", + "startError": { + "title": "Failed to start Debug Replay", + "back": "Back to History" + }, "sourceCamera": "Source Camera", "replayCamera": "Replay Camera", - "initializingReplay": "Initializing replay...", - "stoppingReplay": "Stopping replay...", + "initializingReplay": "Initializing Debug Replay...", + "stoppingReplay": "Stopping Debug Replay...", "stopReplay": "Stop Replay", "confirmStop": { "title": "Stop Debug Replay?", - "description": "This will stop the replay session and clean up all temporary data. Are you sure?", + "description": "This will stop the session and clean up all temporary data. Are you sure?", "confirm": "Stop Replay", "cancel": "Cancel" }, @@ -49,6 +54,6 @@ "activeTracking": "Active tracking", "noActiveTracking": "No active tracking", "configuration": "Configuration", - "configurationDesc": "Fine tune motion detection and object tracking settings for the debug replay camera. No changes are saved to your Frigate configuration file." + "configurationDesc": "Fine tune motion detection and object tracking settings for the Debug Replay camera. No changes are saved to your Frigate configuration file." } } diff --git a/web/public/locales/en/views/settings.json b/web/public/locales/en/views/settings.json index a1e14452e5..7bb582120b 100644 --- a/web/public/locales/en/views/settings.json +++ b/web/public/locales/en/views/settings.json @@ -12,6 +12,7 @@ "globalConfig": "Global Configuration - Frigate", "cameraConfig": "Camera Configuration - Frigate", "frigatePlus": "Frigate+ Settings - Frigate", + "detectorsAndModel": "Detectors and model - Frigate", "notifications": "Notification Settings - Frigate", "maintenance": "Maintenance - Frigate", "profiles": "Profiles - Frigate" @@ -19,8 +20,30 @@ "button": { "overriddenGlobal": "Overridden (Global)", "overriddenGlobalTooltip": "This camera overrides global configuration settings in this section", + "overriddenGlobalHeading_one": "This camera overrides {{count}} field from the global config:", + "overriddenGlobalHeading_other": "This camera overrides {{count}} fields from the global config:", + "overriddenGlobalNoDeltas": "This camera overrides the global config, but no field values differ.", "overriddenBaseConfig": "Overridden (Base Config)", - "overriddenBaseConfigTooltip": "The {{profile}} profile overrides configuration settings in this section" + "overriddenBaseConfigTooltip": "The {{profile}} profile overrides configuration settings in this section", + "overriddenBaseConfigHeading_one": "The {{profile}} profile overrides {{count}} field from the base config:", + "overriddenBaseConfigHeading_other": "The {{profile}} profile overrides {{count}} fields from the base config:", + "overriddenBaseConfigNoDeltas": "The {{profile}} profile overrides this section, but no field values differ from the base config.", + "overriddenInCameras": { + "label_one": "Overridden in {{count}} camera", + "label_other": "Overridden in {{count}} cameras", + "tooltip_one": "{{count}} camera overrides values in this section. Click to see details.", + "tooltip_other": "{{count}} cameras override values in this section. Click to see details.", + "heading_one": "This global section has fields that are overridden in {{count}} camera.", + "heading_other": "This global section has fields that are overridden in {{count}} cameras.", + "othersField_one": "{{count}} other", + "othersField_other": "{{count}} others", + "profilePrefix": "{{profile}} profile: {{fields}}" + } + }, + "menuDot": { + "overrideGlobal": "This section overrides the global configuration", + "overrideProfile": "This section is overridden by the {{profile}} profile", + "unsaved": "This section has unsaved changes" }, "menu": { "general": "General", @@ -38,7 +61,7 @@ "globalMotion": "Motion detection", "globalObjects": "Objects", "globalReview": "Review", - "globalAudioEvents": "Audio events", + "globalAudioEvents": "Audio detection", "globalLivePlayback": "Live playback", "globalTimestampStyle": "Timestamp style", "systemDatabase": "Database", @@ -52,8 +75,7 @@ "systemTelemetry": "Telemetry", "systemBirdseye": "Birdseye", "systemFfmpeg": "FFmpeg", - "systemDetectorHardware": "Detector hardware", - "systemDetectionModel": "Detection model", + "systemDetectorsAndModel": "Detectors and model", "systemMqtt": "MQTT", "systemGo2rtcStreams": "go2rtc streams", "integrationSemanticSearch": "Semantic search", @@ -69,7 +91,7 @@ "cameraMotion": "Motion detection", "cameraObjects": "Objects", "cameraConfigReview": "Review", - "cameraAudioEvents": "Audio events", + "cameraAudioEvents": "Audio detection", "cameraAudioTranscription": "Audio transcription", "cameraNotifications": "Notifications", "cameraLivePlayback": "Live playback", @@ -415,6 +437,7 @@ "audioCodecGood": "Audio codec is {{codec}}.", "resolutionHigh": "A resolution of {{resolution}} may cause increased resource usage.", "resolutionLow": "A resolution of {{resolution}} may be too low for reliable detection of small objects.", + "resolutionUnknown": "The resolution of this stream could not be probed. You should manually set the detect resolution in Settings or your config.", "noAudioWarning": "No audio detected for this stream, recordings will not have audio.", "audioCodecRecordError": "The AAC audio codec is required to support audio in recordings.", "audioCodecRequired": "An audio stream is required to support audio detection.", @@ -434,6 +457,7 @@ }, "cameraManagement": { "title": "Manage Cameras", + "description": "Add, edit, and delete cameras, control which cameras are enabled, and configure per-profile and camera type overrides. To configure streams, detection, motion, and other camera-specific settings, choose the specific section under Camera Configuration.", "addCamera": "Add New Camera", "deleteCamera": "Delete Camera", "deleteCameraDialog": { @@ -453,10 +477,23 @@ "streams": { "title": "Enable / Disable Cameras", "enableLabel": "Enabled cameras", - "enableDesc": "Temporarily disable an enabled camera until Frigate restarts. Disabling a camera completely stops Frigate's processing of this camera's streams. Detection, recording, and debugging will be unavailable.
    Note: This does not disable go2rtc restreams.", + "enableDesc": "Temporarily disable an enabled camera until Frigate restarts. Disabling a camera completely stops Frigate's processing of this camera's streams. Detection, recording, and debugging will be unavailable.
    Note: This does not disable go2rtc restreams.

    Drag the handle to reorder the cameras as they appear in the UI. The order of enabled cameras will be reflected throughout the UI including the Live dashboard and camera selection dropdowns.", "disableLabel": "Disabled cameras", "disableDesc": "Enable a camera that is currently not visible in the UI and disabled in the configuration. A restart of Frigate is required after enabling.", - "enableSuccess": "Enabled {{cameraName}} in configuration. Restart Frigate to apply the changes." + "enableSuccess": "Enabled {{cameraName}} in configuration. Restart Frigate to apply the changes.", + "reorderHandle": "Drag to reorder", + "saving": "Saving…", + "saved": "Saved", + "details": { + "edit": "Edit camera details", + "title": "Edit Camera Details", + "description": "Update the display name and external URL used for this camera throughout the Frigate UI.", + "friendlyNameLabel": "Display Name", + "friendlyNameHelp": "Friendly name shown for this camera throughout the Frigate UI. Leave blank to use the camera ID.", + "webuiUrlLabel": "Camera Web UI URL", + "webuiUrlHelp": "URL to visit the camera's web UI directly from the Debug view. Leave blank to disable the link.", + "webuiUrlInvalid": "Must be a valid URL (e.g., https://example.com)." + } }, "cameraConfig": { "add": "Add Camera", @@ -494,6 +531,14 @@ "inherit": "Inherit", "enabled": "Enabled", "disabled": "Disabled" + }, + "cameraType": { + "title": "Camera Type", + "label": "Camera type", + "description": "Set the type for each camera. Dedicated LPR cameras are single-purpose cameras with powerful optical zoom to capture license plates on distant vehicles. Most cameras should use the normal camera type unless the camera is specifically for LPR and has a tightly focused view on license plates.", + "normal": "Normal", + "dedicatedLpr": "Dedicated LPR", + "saveSuccess": "Updated camera type for {{cameraName}}. Restart Frigate to apply the changes." } }, "cameraReview": { @@ -1101,10 +1146,19 @@ "cameras": "Cameras", "loading": "Loading model information…", "error": "Failed to load model information", - "availableModels": "Available Models", + "noModelLoaded": "No Frigate+ model is currently loaded.", + "availableModels": "Available Frigate+ models", "loadingAvailableModels": "Loading available models…", + "selectModel": "Select a model", + "noModelsAvailable": "No models available", + "filter": { + "ariaLabel": "Filter models by type", + "baseModels": "Base Models", + "fineTunedModels": "Fine-tuned Models" + }, "modelSelect": "Your available models on Frigate+ can be selected here. Note that only models compatible with your current detector configuration can be selected." }, + "changeInDetectorsAndModel": "Change model", "unsavedChanges": "Unsaved Frigate+ settings changes", "restart_required": "Restart required (Frigate+ model changed)", "toast": { @@ -1112,14 +1166,30 @@ "error": "Failed to save config changes: {{errorMessage}}" } }, - "detectionModel": { - "plusActive": { - "title": "Frigate+ model management", - "label": "Current model source", - "description": "This instance is running a Frigate+ model. Select or change your model in Frigate+ settings.", - "goToFrigatePlus": "Go to Frigate+ settings", - "showModelForm": "Manually configure a model" - } + "detectorsAndModel": { + "title": "Detectors and model", + "description": "Configure the detector backend that runs object detection and the model it uses. Changes are saved together so the detector and model stay in sync.", + "cardTitles": { + "detector": "Detector Hardware", + "model": "Detection Model" + }, + "tabs": { + "plus": "Frigate+", + "custom": "Custom Model" + }, + "mismatch": { + "warning": "The current Frigate+ model \"{{model}}\" requires the {{required}} detector. Pick a compatible model below or switch to Custom Model before saving." + }, + "plusModel": { + "requiresDetector": "Requires: {{detector}}", + "noModelSelected": "Select a Frigate+ model" + }, + "toast": { + "saveSuccess": "Detectors and model settings saved. Restart Frigate to apply changes.", + "saveError": "Failed to save detector and model settings" + }, + "unsavedChanges": "Unsaved detector and model changes", + "restartRequired": "Restart required (detector or model changed)" }, "triggers": { "documentTitle": "Triggers", @@ -1464,8 +1534,8 @@ "genaiRoles": { "options": { "embeddings": "Embedding", - "vision": "Vision", - "tools": "Tools" + "descriptions": "Descriptions", + "chat": "Chat" } }, "semanticSearchModel": { @@ -1491,9 +1561,14 @@ "searchPlaceholder": "Search...", "addCustomLabel": "Add custom label...", "genaiModel": { - "placeholder": "Select model…", - "search": "Search models…", - "noModels": "No models available" + "placeholder": "Select or enter a model…", + "search": "Search or enter a model…", + "noModels": "No models available", + "available": "Available models", + "useCustom": "Use \"{{value}}\"", + "refresh": "Refresh models", + "probeFailed": "Failed to probe models", + "fetchedModels": "Successfully fetched model list" } }, "globalConfig": { @@ -1525,6 +1600,8 @@ "resetError": "Failed to reset settings", "saveAllSuccess_one": "Saved {{count}} section successfully.", "saveAllSuccess_other": "All {{count}} sections saved successfully.", + "saveAllSuccessRestartRequired_one": "Saved {{count}} section successfully. Restart Frigate to apply your changes.", + "saveAllSuccessRestartRequired_other": "All {{count}} sections saved successfully. Restart Frigate to apply your changes.", "saveAllPartial_one": "{{successCount}} of {{totalCount}} section saved. {{failCount}} failed.", "saveAllPartial_other": "{{successCount}} of {{totalCount}} sections saved. {{failCount}} failed.", "saveAllFailure": "Failed to save all sections." @@ -1581,6 +1658,7 @@ "addStream": "Add stream", "addStreamDesc": "Enter a name for the new stream. This name will be used to reference the stream in your camera configuration.", "addUrl": "Add URL", + "streamNumber": "Stream {{index}}", "streamName": "Stream name", "streamNamePlaceholder": "e.g., front_door", "streamUrlPlaceholder": "e.g., rtsp://user:pass@192.168.1.100/stream", @@ -1614,18 +1692,96 @@ "audioMp3": "Transcode to MP3", "audioExclude": "Exclude", "hardwareNone": "No hardware acceleration", - "hardwareAuto": "Automatic hardware acceleration" + "hardwareAuto": "Automatic (recommended)", + "hardwareVaapi": "VAAPI", + "hardwareCuda": "CUDA", + "hardwareV4l2m2m": "V4L2 M2M", + "hardwareDxva2": "DXVA2", + "hardwareVideotoolbox": "VideoToolbox", + "addVideoCodec": "Add video codec", + "addAudioCodec": "Add audio codec", + "removeCodec": "Remove codec" + } + }, + "birdseye": { + "trackingMode": { + "objects": "Objects", + "motion": "Motion", + "continuous": "Continuous" + }, + "cameraOrder": { + "label": "Camera order", + "description": "Drag cameras to set their order in the Birdseye layout.", + "reorderHandle": "Drag to reorder", + "saving": "Saving…", + "saved": "Saved" + } + }, + "retainMode": { + "all": "All", + "motion": "Motion", + "active_objects": "Active Objects" + }, + "previewQuality": { + "very_high": "Very High", + "high": "High", + "medium": "Medium", + "low": "Low", + "very_low": "Very Low" + }, + "ui": { + "timeFormat": { + "browser": "Browser", + "12hour": "12 hour", + "24hour": "24 hour" + }, + "TimeOrDateStyle": { + "full": "Full", + "long": "Long", + "medium": "Medium", + "short": "Short" + }, + "unitSystem": { + "metric": "Metric", + "imperial": "Imperial" + } + }, + "review": { + "imageSource": { + "recordings": "Recordings", + "previews": "Previews" + } + }, + "logger": { + "logLevel": { + "debug": "Debug", + "info": "Info", + "warning": "Warning", + "error": "Error", + "critical": "Critical" } }, "onvif": { "profileAuto": "Auto", - "profileLoading": "Loading profiles..." + "profileLoading": "Loading profiles...", + "autotracking": { + "zooming": { + "disabled": "Disabled", + "absolute": "Absolute", + "relative": "Relative" + } + } + }, + "modelSize": { + "small": "Small", + "large": "Large" }, "configMessages": { "review": { "recordDisabled": "Recording is disabled, review items will not be generated.", "detectDisabled": "Object detection is disabled. Review items require detected objects to categorize alerts and detections.", - "allNonAlertDetections": "All non-alert activity will be included as detections." + "allNonAlertDetections": "All non-alert activity will be included as detections.", + "genaiImageSourceRecordingsRecordDisabled": "Image source is set to 'recordings', but recording is disabled. Frigate will fall back to preview images." }, "audio": { "noAudioRole": "No streams have the audio role defined. You must enable the audio role for audio detection to function." @@ -1634,15 +1790,21 @@ "audioDetectionDisabled": "Audio detection is not enabled for this camera. Audio transcription requires audio detection to be active." }, "detect": { - "fpsGreaterThanFive": "Setting the detect FPS higher than 5 is not recommended." + "fpsGreaterThanFive": "Setting the detect FPS higher than 5 is not recommended. Higher values may cause performance issues and will not provide any benefit.", + "disabled": "Object detection is disabled. Snapshots, review items, and enrichments such as face recognition, license plate recognition, and Generative AI will not function." + }, + "objects": { + "genaiNoDescriptionsProvider": "You must configure a GenAI provider with the 'descriptions' role for descriptions to be generated." }, "faceRecognition": { - "globalDisabled": "Face recognition is not enabled at the global level. Enable it in global settings for camera-level face recognition to function.", - "personNotTracked": "Face recognition requires the 'person' object to be tracked. Ensure 'person' is in the object tracking list." + "globalDisabled": "The face recognition enrichment must be enabled for face recognition features to function on this camera.", + "personNotTracked": "Face recognition requires the 'person' object to be tracked. Enable 'person' in Objects for this camera.", + "modelSizeLarge": "The 'large' model requires a GPU or NPU for reasonable performance. Use 'small' on CPU-only systems." }, "lpr": { - "globalDisabled": "License plate recognition is not enabled at the global level. Enable it in global settings for camera-level LPR to function.", - "vehicleNotTracked": "License plate recognition requires 'car' or 'motorcycle' to be tracked." + "globalDisabled": "The license plate recognition enrichment must be enabled for LPR features to function on this camera.", + "vehicleNotTracked": "License plate recognition requires 'car' or 'motorcycle' to be tracked. Enable 'car' or 'motorcycle' in Objects for this camera.", + "modelSizeLarge": "The 'large' model is optimized for multi-line license plates. The 'small' model provides better performance over 'large' and should be used unless your region uses multi-line plate formats." }, "record": { "noRecordRole": "No streams have the record role defined. Recording will not function." @@ -1656,6 +1818,10 @@ "detectors": { "mixedTypes": "All detectors must use the same type. Remove existing detectors to use a different type.", "mixedTypesSuggestion": "All detectors must use the same type. Remove existing detectors or select {{type}}." + }, + "semanticSearch": { + "jinav2SmallModelSize": "The 'small' size with the Jina V2 model has high RAM and inference cost. The 'large' model with a discrete GPU is recommended.", + "modelSizeIgnoredForProvider": "Model size only applies to the built-in Jina models. This value will be ignored when using a GenAI embedding provider." } } } diff --git a/web/public/locales/en/views/system.json b/web/public/locales/en/views/system.json index 6c3f37f71a..b824e0749c 100644 --- a/web/public/locales/en/views/system.json +++ b/web/public/locales/en/views/system.json @@ -177,6 +177,9 @@ } }, "framesAndDetections": "Frames / Detections", + "noCameras": { + "title": "No Cameras Found" + }, "label": { "camera": "camera", "detect": "detect", diff --git a/web/public/locales/es/common.json b/web/public/locales/es/common.json index 49e06c508b..b8b44f2c12 100644 --- a/web/public/locales/es/common.json +++ b/web/public/locales/es/common.json @@ -154,7 +154,8 @@ "gl": "Galego (Gallego)", "id": "Bahasa Indonesia (Indonesio)", "ur": "اردو (Urdu)", - "hr": "Hrvatski (Croata)" + "hr": "Hrvatski (Croata)", + "bs": "Bosanski (Bosnio)" }, "appearance": "Apariencia", "darkMode": { @@ -195,7 +196,11 @@ "explore": "Explorar", "uiPlayground": "Zona de pruebas de la interfaz de usuario", "faceLibrary": "Biblioteca de rostros", - "classification": "Clasificación" + "classification": "Clasificación", + "profiles": "Perfiles", + "actions": "Acciones", + "features": "Funciones", + "chat": "Chat" }, "unit": { "speed": { @@ -251,7 +256,19 @@ "saving": "Guardando…", "exitFullscreen": "Salir de pantalla completa", "on": "ENCENDIDO", - "continue": "Continuar" + "continue": "Continuar", + "add": "Añadir", + "applying": "Aplicando…", + "undo": "Deshacer", + "copiedToClipboard": "Copiado al portapapeles", + "modified": "Modificado", + "overridden": "Sobrescrito", + "resetToGlobal": "Restablecer a global", + "resetToDefault": "Restablecer valores predeterminados", + "saveAll": "Guardar todo", + "savingAll": "Guardando todo…", + "undoAll": "Deshacer todo", + "retry": "Reintentar" }, "toast": { "save": { @@ -259,7 +276,8 @@ "noMessage": "No se pudieron guardar los cambios de configuración", "title": "No se pudieron guardar los cambios de configuración: {{errorMessage}}" }, - "title": "Guardar" + "title": "Guardar", + "success": "Cambios de configuración guardados correctamente." }, "copyUrlToClipboard": "URL copiada al portapapeles." }, @@ -313,5 +331,7 @@ "field": { "optional": "Opcional", "internalID": "La ID interna que usa Frigate en la configuración y en la base de datos" - } + }, + "no_items": "No hay elementos", + "validation_errors": "Errores de validación" } diff --git a/web/public/locales/es/components/dialog.json b/web/public/locales/es/components/dialog.json index e8f59f05a0..07d7862b66 100644 --- a/web/public/locales/es/components/dialog.json +++ b/web/public/locales/es/components/dialog.json @@ -71,13 +71,78 @@ "endTimeMustAfterStartTime": "La hora de finalización debe ser posterior a la hora de inicio" }, "success": "Exportación iniciada con éxito. Ver el archivo en la página exportaciones.", - "view": "Ver" + "view": "Ver", + "queued": "Exportación en cola. Consulta el progreso en la página de exportaciones.", + "batchSuccess_one": "Se inició 1 exportación. Abriendo el caso ahora.", + "batchSuccess_many": "Se iniciaron {{count}} exportaciones. Abriendo el caso ahora.", + "batchSuccess_other": "Se iniciaron {{count}} exportaciones. Abriendo el caso ahora.", + "batchPartial": "Se iniciaron {{successful}} de {{total}} exportaciones. Cámaras fallidas: {{failedCameras}}", + "batchFailed": "No se pudieron iniciar {{total}} exportaciones. Cámaras fallidas: {{failedCameras}}", + "batchQueuedSuccess_one": "1 exportación en cola. Abriendo el caso ahora.", + "batchQueuedSuccess_many": "{{count}} exportaciones en cola. Abriendo el caso ahora.", + "batchQueuedSuccess_other": "{{count}} exportaciones en cola. Abriendo el caso ahora.", + "batchQueuedPartial": "{{successful}} de {{total}} exportaciones en cola. Cámaras fallidas: {{failedCameras}}", + "batchQueueFailed": "No se pudieron poner en cola {{total}} exportaciones. Cámaras fallidas: {{failedCameras}}" }, "fromTimeline": { "saveExport": "Guardar exportación", - "previewExport": "Vista previa de la exportación" + "previewExport": "Vista previa de la exportación", + "queueingExport": "Poniendo exportación en cola...", + "useThisRange": "Usar este intervalo" }, - "selectOrExport": "Seleccionar o exportar" + "selectOrExport": "Seleccionar o exportar", + "case": { + "label": "Caso", + "newCaseDescriptionPlaceholder": "Descripción de caso", + "newCaseOption": "Crear nuevo caso", + "newCaseNamePlaceholder": "Nombre del nuevo caso", + "nonAdminHelp": "Se creará un nuevo caso para estas exportaciones.", + "placeholder": "Selecciona un caso" + }, + "queueing": "Poniendo la exportación en cola…", + "tabs": { + "export": "Cámara única", + "multiCamera": "Multicámara" + }, + "multiCamera": { + "timeRange": "Intervalo de tiempo", + "selectFromTimeline": "Seleccionar desde la línea de tiempo", + "cameraSelection": "Cámaras", + "cameraSelectionHelp": "Las cámaras con objetos detectados en este intervalo de tiempo están preseleccionadas", + "checkingActivity": "Comprobando actividad de las cámaras...", + "noCameras": "No hay cámaras disponibles", + "detectionCount_one": "1 objeto detectado", + "detectionCount_many": "{{count}} objetos detectados", + "detectionCount_other": "{{count}} objetos detectados", + "nameLabel": "Nombre de la exportación", + "namePlaceholder": "Nombre base opcional para estas exportaciones", + "queueingButton": "Poniendo exportaciones en cola...", + "exportButton_one": "Exportar 1 cámara", + "exportButton_many": "Exportar {{count}} cámaras", + "exportButton_other": "Exportar {{count}} cámaras" + }, + "multi": { + "title_one": "Exportar 1 revisión", + "title_many": "Exportar {{count}} revisiones", + "title_other": "Exportar {{count}} revisiones", + "description": "Exportar cada revisión seleccionada. Todas las exportaciones se agruparán en un único caso.", + "descriptionNoCase": "Exportar cada revisión seleccionada.", + "caseNamePlaceholder": "Exportación de revisión - {{date}}", + "exportButton_one": "Exportar 1 revisión", + "exportButton_many": "Exportar {{count}} revisiones", + "exportButton_other": "Exportar {{count}} revisiones", + "exportingButton": "Exportando...", + "toast": { + "started_one": "Se inició 1 exportación. Abriendo el caso ahora.", + "started_many": "Se iniciaron {{count}} exportaciones. Abriendo el caso ahora.", + "started_other": "Se iniciaron {{count}} exportaciones. Abriendo el caso ahora.", + "startedNoCase_one": "Se inició 1 exportación.", + "startedNoCase_many": "Se iniciaron {{count}} exportaciones.", + "startedNoCase_other": "Se iniciaron {{count}} exportaciones.", + "partial": "Se iniciaron {{successful}} de {{total}} exportaciones. Fallidas: {{failedItems}}", + "failed": "No se pudieron iniciar {{total}} exportaciones. Fallidas: {{failedItems}}" + } + } }, "streaming": { "restreaming": { @@ -124,6 +189,14 @@ "markAsReviewed": "Marcar como revisado", "deleteNow": "Eliminar ahora", "markAsUnreviewed": "Marcar como no revisado" + }, + "shareTimestamp": { + "description": "Comparta una URL con marca de tiempo de la posición actual del reproductor o elija una marca de tiempo personalizada. Tenga en cuenta que esta no es una URL pública para compartir y solo es accesible para los usuarios que tienen acceso a Frigate y a esta cámara.", + "label": "Compartir marca de tiempo", + "title": "Compartir marca de tiempo", + "custom": "Marca de tiempo personalizada", + "button": "Compartir URL de la marca de tiempo", + "shareTitle": "Marca de tiempo de revisión de Frigate: {{camera}}" } }, "imagePicker": { diff --git a/web/public/locales/es/components/player.json b/web/public/locales/es/components/player.json index 2a3e4deb1f..c277d9a5a2 100644 --- a/web/public/locales/es/components/player.json +++ b/web/public/locales/es/components/player.json @@ -3,7 +3,8 @@ "noPreviewFoundFor": "No se encontró vista previa para {{cameraName}}", "submitFrigatePlus": { "submit": "Enviar", - "title": "¿Enviar este fotograma a Frigate+?" + "title": "¿Enviar este fotograma a Frigate+?", + "previewError": "No se pudo cargar la vista previa de la instantánea. Es posible que la grabación no esté disponible en este momento." }, "streamOffline": { "desc": "No se han recibido fotogramas en la transmisión detect de {{cameraName}}, revisa los registros de errores", diff --git a/web/public/locales/es/config/cameras.json b/web/public/locales/es/config/cameras.json index aeb6083714..ae0b7437fd 100644 --- a/web/public/locales/es/config/cameras.json +++ b/web/public/locales/es/config/cameras.json @@ -8,7 +8,7 @@ "description": "Habilitado" }, "audio": { - "label": "Eventos de audio", + "label": "Detección de audio", "description": "Configuración para la detección de eventos basada en audio para esta cámara.", "enabled": { "label": "Habilitar la detección de audio", @@ -28,29 +28,106 @@ }, "filters": { "label": "Filtros de audio", - "description": "Ajustes de filtrado por tipo de audio, como umbrales de confianza utilizados para reducir los falsos positivos." + "description": "Ajustes de filtrado por tipo de audio, como umbrales de confianza utilizados para reducir los falsos positivos.", + "threshold": { + "label": "Confianza mínima de audio", + "description": "Umbral mínimo de confianza para que se cuente el evento de audio." + } }, "enabled_in_config": { "description": "Indica si la detección de audio estaba habilitada originalmente en el archivo de configuración estática.", "label": "Estado original del audio" }, "num_threads": { - "label": "Hilos de detección" + "label": "Hilos de detección", + "description": "Número de hilos que se utilizarán para el procesamiento de la detección de audio." } }, "friendly_name": { "label": "Nombre descriptivo", "description": "Nombre descriptivo de la cámara utilizado en la interfaz de usuario de Frigate" }, - "label": "Configuración de Cámara", + "label": "Configuración de cámara", "onvif": { "profile": { - "label": "Perfil ONVIF" + "label": "Perfil ONVIF", + "description": "Perfil multimedia ONVIF específico que se utilizará para el control PTZ, identificado por token o nombre. Si no se especifica, se selecciona automáticamente el primer perfil con una configuración PTZ válida." + }, + "autotracking": { + "zoom_factor": { + "description": "Controla el nivel de zoom en los objetos rastreados. Los valores más bajos mantienen una mayor parte de la escena a la vista; los valores más altos acercan la imagen, pero pueden provocar la pérdida del rastreo. Valores entre 0.1 y 0.75.", + "label": "Factor de zoom" + }, + "calibrate_on_startup": { + "description": "Mida la velocidad de los motores PTZ al encenderlos para mejorar la precisión del seguimiento. Frigate actualizará la configuración con los `movement_weights` tras la calibración.", + "label": "Calibrar al iniciar" + }, + "description": "Realice un seguimiento automático de objetos en movimiento y manténgalos centrados en el encuadre mediante movimientos de cámara PTZ.", + "zooming": { + "description": "Control del comportamiento del zoom: deshabilitado (solo panorámica/inclinación), absoluto (mayor compatibilidad) o relativo (panorámica/inclinación/zoom simultáneos).", + "label": "Modo de zoom" + }, + "return_preset": { + "description": "Nombre del preajuste ONVIF configurado en el firmware de la cámara al que regresar una vez finalizado el seguimiento.", + "label": "Preajuste de retorno" + }, + "timeout": { + "description": "Espere esta cantidad de segundos después de perder el seguimiento antes de devolver la cámara a la posición preestablecida.", + "label": "Tiempo de espera de retorno" + }, + "label": "Seguimiento automático", + "enabled": { + "label": "Habilitar seguimiento automático", + "description": "Habilita o deshabilita el seguimiento automático con cámara PTZ de objetos detectados." + }, + "track": { + "label": "Objetos rastreados", + "description": "Lista de tipos de objetos que deben activar el seguimiento automático." + }, + "required_zones": { + "label": "Zonas requeridas", + "description": "Los objetos deben entrar en una de estas zonas antes de que comience el seguimiento automático." + }, + "movement_weights": { + "label": "Pesos de movimiento", + "description": "Valores de calibración generados automáticamente por la calibración de la cámara. No los modifiques manualmente." + }, + "enabled_in_config": { + "label": "Estado original de autoseguimiento", + "description": "Campo interno para rastrear si el seguimiento automático estaba habilitado en la configuración." + } + }, + "tls_insecure": { + "description": "Omitir la verificación TLS y deshabilitar la autenticación digest para ONVIF (no seguro; usar solo en redes seguras).", + "label": "Deshabilitar verificación TLS" + }, + "label": "ONVIF", + "description": "Ajustes de conexión ONVIF y seguimiento automático PTZ para esta cámara.", + "host": { + "label": "Host ONVIF", + "description": "Host (y esquema opcional) para el servicio ONVIF de esta cámara." + }, + "port": { + "label": "Puerto ONVIF", + "description": "Número de puerto del servicio ONVIF." + }, + "user": { + "label": "Nombre de usuario ONVIF", + "description": "Nombre de usuario para la autenticación ONVIF; algunos dispositivos requieren un usuario administrador para ONVIF." + }, + "password": { + "label": "Contraseña ONVIF", + "description": "Contraseña para la autenticación ONVIF." + }, + "ignore_time_mismatch": { + "label": "Ignorar discrepancia horaria", + "description": "Ignora las diferencias de sincronización horaria entre la cámara y el servidor Frigate para la comunicación ONVIF." } }, "zones": { "distances": { - "label": "Distancias reales" + "label": "Distancias reales", + "description": "Distancias reales opcionales para cada lado del cuadrilátero de la zona, usadas para cálculos de velocidad o distancia. Debe tener exactamente 4 valores si se establece." }, "coordinates": { "description": "Coordenadas del polígono que definen el área de la zona. Puede ser una cadena separada por comas o una lista de cadenas de coordenadas. Las coordenadas deben ser relativas (0-1) o absolutas (heredadas).", @@ -83,7 +160,42 @@ "max_area": { "description": "Área máxima del cuadro delimitador (píxeles o porcentaje) permitida para este tipo de objeto. Puede expresarse en píxeles (entero) o como porcentaje (decimal entre 0,000001 y 0,99).", "label": "Área máxima del objeto" + }, + "description": "Filtros para aplicar a los objetos dentro de esta zona. Se utilizan para reducir los falsos positivos o restringir qué objetos se consideran presentes en la zona.", + "label": "Filtros de zona", + "min_area": { + "label": "Área mínima de objeto", + "description": "Área mínima del cuadro delimitador (píxeles o porcentaje) necesaria para este tipo de objeto. Puede ser píxeles (int) o porcentaje (float entre 0.000001 y 0.99)." } + }, + "objects": { + "description": "Lista de tipos de objetos (del mapa de etiquetas) que pueden activar esta zona. Puede ser una cadena de texto o una lista de cadenas. Si está vacío, se consideran todos los objetos.", + "label": "Objetos activadores" + }, + "description": "Las zonas le permiten definir un área específica del fotograma, de modo que pueda determinar si un objeto se encuentra o no dentro de un área determinada.", + "speed_threshold": { + "description": "Velocidad mínima (en unidades del mundo real, si se han configurado distancias) requerida para que un objeto se considere presente en la zona. Se utiliza para los disparadores de zona basados en la velocidad.", + "label": "Velocidad mínima" + }, + "friendly_name": { + "description": "Un nombre fácil de usar para la zona, que se muestra en la interfaz de usuario de Frigate. Si no se especifica, se utilizará una versión formateada del nombre de la zona.", + "label": "Nombre de zona" + }, + "inertia": { + "description": "Número de fotogramas consecutivos en los que se debe detectar un objeto dentro de la zona antes de considerarlo presente. Ayuda a filtrar las detecciones transitorias.", + "label": "Fotogramas de inercia" + }, + "loitering_time": { + "description": "Número de segundos que un objeto debe permanecer en la zona para ser considerado como merodeo. Establezca en 0 para desactivar la detección de merodeo.", + "label": "Segundos de permanencia" + }, + "label": "Zonas", + "enabled": { + "label": "Habilitado", + "description": "Habilita o deshabilita esta zona. Las zonas deshabilitadas se ignoran en tiempo de ejecución." + }, + "enabled_in_config": { + "label": "Mantiene el registro del estado original de la zona." } }, "objects": { @@ -100,7 +212,742 @@ "use_snapshot": { "label": "Usar instantáneas", "description": "Usar instantáneas de objetos en lugar de miniaturas para la generación de descripciones de GenAI." + }, + "send_triggers": { + "after_significant_updates": { + "description": "Envía una solicitud a GenAI tras un número especificado de actualizaciones significativas del objeto rastreado.", + "label": "Activador temprano de GenAI" + }, + "description": "Define cuándo se deben enviar los fotogramas a GenAI (al finalizar, después de las actualizaciones, etc.).", + "label": "Activadores de GenAI", + "tracked_object_end": { + "label": "Enviar al finalizar", + "description": "Envía una solicitud a GenAI cuando finaliza el objeto rastreado." + } + }, + "required_zones": { + "description": "Zonas en las que deben ubicarse los objetos para ser elegibles para la generación de descripciones con GenAI.", + "label": "Zonas requeridas" + }, + "prompt": { + "label": "Prompt de descripción", + "description": "Plantilla de prompt predeterminada usada al generar descripciones con GenAI." + }, + "object_prompts": { + "label": "Prompts de objetos", + "description": "Prompts por objeto para personalizar las salidas de GenAI para etiquetas concretas." + }, + "objects": { + "label": "Objetos de GenAI", + "description": "Lista de etiquetas de objetos que se enviarán a GenAI de forma predeterminada." + }, + "debug_save_thumbnails": { + "label": "Guardar miniaturas", + "description": "Guarda las miniaturas enviadas a GenAI para depuración y revisión." + }, + "enabled_in_config": { + "label": "Estado original de GenAI", + "description": "Indica si GenAI estaba habilitado en la configuración estática original." + } + }, + "label": "Objetos", + "description": "Valores predeterminados de seguimiento de objetos, incluidas las etiquetas que se rastrean y los filtros por objeto.", + "track": { + "label": "Objetos a rastrear", + "description": "Lista de etiquetas de objetos a rastrear para esta cámara." + }, + "filters": { + "label": "Filtros de objetos", + "description": "Filtros aplicados a los objetos detectados para reducir falsos positivos (área, relación, confianza).", + "min_area": { + "label": "Área mínima de objeto", + "description": "Área mínima del cuadro delimitador (píxeles o porcentaje) necesaria para este tipo de objeto. Puede ser píxeles (int) o porcentaje (float entre 0.000001 y 0.99)." + }, + "max_area": { + "label": "Área máxima de objeto", + "description": "Área máxima del cuadro delimitador (píxeles o porcentaje) permitida para este tipo de objeto. Puede ser píxeles (int) o porcentaje (float entre 0.000001 y 0.99)." + }, + "min_ratio": { + "label": "Relación de aspecto mínima", + "description": "Relación mínima anchura/altura necesaria para que el cuadro delimitador sea válido." + }, + "max_ratio": { + "label": "Relación de aspecto máxima", + "description": "Relación máxima anchura/altura permitida para que el cuadro delimitador sea válido." + }, + "threshold": { + "label": "Umbral de confianza", + "description": "Umbral medio de confianza de detección necesario para que el objeto se considere un positivo verdadero." + }, + "min_score": { + "label": "Confianza mínima", + "description": "Confianza mínima de detección en un único fotograma necesaria para que el objeto se contabilice." + }, + "mask": { + "label": "Máscara de filtro", + "description": "Coordenadas del polígono que definen dónde se aplica este filtro dentro del fotograma." + }, + "raw_mask": { + "label": "Máscara sin procesar" + } + }, + "mask": { + "label": "Máscara de objeto", + "description": "Polígono de máscara usado para evitar la detección de objetos en áreas especificadas." + } + }, + "mqtt": { + "label": "MQTT", + "required_zones": { + "description": "Zonas en las que debe entrar un objeto para que se publique una imagen MQTT.", + "label": "Zonas requeridas" + }, + "description": "Ajustes de publicación de imágenes MQTT.", + "enabled": { + "label": "Enviar imagen", + "description": "Habilita la publicación de instantáneas de objetos en temas MQTT para esta cámara." + }, + "timestamp": { + "label": "Añadir marca de tiempo", + "description": "Superpone una marca de tiempo en las imágenes publicadas en MQTT." + }, + "bounding_box": { + "label": "Añadir cuadro delimitador", + "description": "Dibuja cuadros delimitadores en las imágenes publicadas mediante MQTT." + }, + "crop": { + "label": "Recortar imagen", + "description": "Recorta las imágenes publicadas en MQTT al cuadro delimitador del objeto detectado." + }, + "height": { + "label": "Altura de imagen", + "description": "Altura (píxeles) a la que redimensionar las imágenes publicadas mediante MQTT." + }, + "quality": { + "label": "Calidad JPEG", + "description": "Calidad JPEG de las imágenes publicadas en MQTT (0-100)." + } + }, + "notifications": { + "email": { + "label": "Email de notificacion", + "description": "Dirección de correo electrónico usada para notificaciones push o requerida por ciertos proveedores de notificaciones." + }, + "label": "Notificaciones", + "description": "Ajustes para habilitar y controlar las notificaciones de esta cámara.", + "enabled": { + "label": "Habilitar notificaciones", + "description": "Habilita o deshabilita las notificaciones para esta cámara." + }, + "cooldown": { + "label": "Periodo de enfriamiento", + "description": "Periodo de enfriamiento (segundos) entre notificaciones para evitar saturar a los destinatarios." + }, + "enabled_in_config": { + "label": "Estado original de notificaciones", + "description": "Indica si las notificaciones estaban habilitadas en la configuración estática original." + } + }, + "audio_transcription": { + "description": "Configuración para la transcripción de audio en vivo y de voz, utilizada para eventos y subtítulos en tiempo real.", + "enabled": { + "label": "Habilitar transcripción", + "description": "Activar o desactivar la transcripción de eventos de audio activados manualmente." + }, + "label": "Transcripción de audio", + "enabled_in_config": { + "label": "Estado original de la transcripción" + }, + "live_enabled": { + "label": "Transcripción en directo", + "description": "Activar la transcripción en directo del audio a medida que se recibe." + } + }, + "motion": { + "skip_motion_threshold": { + "description": "Si se establece en un valor entre 0,0 y 1,0, y más de esta fracción de la imagen cambia en un solo fotograma, el detector no devolverá cuadros de movimiento y se recalibrará inmediatamente. Esto puede ahorrar recursos de CPU y reducir los falsos positivos durante tormentas eléctricas, tempestades, etc., aunque podría pasar por alto eventos reales, como el seguimiento automático de un objeto por parte de una cámara PTZ. La disyuntiva está entre descartar unos cuantos megabytes de grabaciones o revisar un par de clips cortos. Deje este parámetro sin establecer (None) para desactivar esta función.", + "label": "Omitir umbral de movimiento" + }, + "lightning_threshold": { + "description": "Umbral para detectar e ignorar breves picos de luz (un valor menor indica mayor sensibilidad; valores entre 0,3 y 1,0). Esto no impide por completo la detección de movimiento; Simplemente provoca que el detector deje de analizar fotogramas adicionales una vez que se supera el umbral. Durante estos eventos aún se realizan grabaciones basadas en el movimiento.", + "label": "Umbral de iluminación" + }, + "threshold": { + "description": "Umbral de diferencia de píxeles utilizado por el detector de movimiento; los valores más altos reducen la sensibilidad (rango 1-255).", + "label": "Umbral de movimiento" + }, + "label": "Detección de movimiento", + "description": "Ajustes predeterminados de detección de movimiento para esta cámara.", + "enabled": { + "label": "Habilitar detección de movimiento", + "description": "Habilita o deshabilita la detección de movimiento para esta cámara." + }, + "improve_contrast": { + "label": "Mejorar contraste", + "description": "Aplica una mejora de contraste a los fotogramas antes del análisis de movimiento para ayudar a la detección." + }, + "contour_area": { + "label": "Área de contorno", + "description": "Área mínima de contorno en píxeles necesaria para que se cuente un contorno de movimiento." + }, + "delta_alpha": { + "label": "Delta alfa", + "description": "Factor de mezcla alfa usado en la diferencia entre fotogramas para calcular el movimiento." + }, + "frame_alpha": { + "label": "Alfa del fotograma", + "description": "Valor alfa usado al mezclar fotogramas para el preprocesamiento de movimiento." + }, + "frame_height": { + "label": "Altura del fotograma", + "description": "Altura en píxeles a la que escalar los fotogramas al calcular el movimiento." + }, + "mask": { + "label": "Coordenadas de máscara", + "description": "Coordenadas x,y ordenadas que definen el polígono de máscara de movimiento usado para incluir/excluir áreas." + }, + "mqtt_off_delay": { + "label": "Retraso de apagado MQTT", + "description": "Segundos a esperar tras el último movimiento antes de publicar un estado MQTT 'off'." + }, + "enabled_in_config": { + "label": "Estado de movimiento original", + "description": "Indica si la detección de movimiento estaba habilitada en la configuración estática original." + }, + "raw_mask": { + "label": "Máscara sin procesar" + } + }, + "lpr": { + "enhancement": { + "description": "Nivel de mejora (0-10) que se aplicará a los recortes de matrículas antes del OCR; los valores más altos no siempre mejoran los resultados, y los niveles superiores a 5 podrían funcionar únicamente con matrículas capturadas de noche, por lo que deben utilizarse con precaución.", + "label": "Nivel de mejora" + }, + "expire_time": { + "description": "Tiempo en segundos tras el cual una matrícula no detectada caduca en el sistema de seguimiento (solo para cámaras LPR dedicadas).", + "label": "Segundos hasta caducar" + }, + "label": "Reconocimiento de matrículas", + "description": "Ajustes de reconocimiento de matrículas, incluidos umbrales de detección, formato y matrículas conocidas.", + "enabled": { + "label": "Habilitar LPR", + "description": "Habilita o deshabilita LPR en esta cámara." + }, + "min_area": { + "label": "Área mínima de matrícula", + "description": "Área mínima de matrícula (píxeles) necesaria para intentar el reconocimiento." + } + }, + "detect": { + "fps": { + "description": "Fotogramas por segundo deseados para ejecutar la detección; los valores más bajos reducen el uso de la CPU (el valor recomendado es 5; establezca un valor superior —como máximo de 10— únicamente si realiza el seguimiento de objetos que se mueven con extrema rapidez).", + "label": "FPS de detección" + }, + "min_initialized": { + "description": "Número de detecciones consecutivas requeridas antes de crear un objeto rastreado. Auméntelo para reducir las inicializaciones falsas. El valor predeterminado es los FPS divididos por 2.", + "label": "Fotogramas mínimos de inicialización" + }, + "height": { + "description": "Altura (en píxeles) de los fotogramas utilizados para la transmisión de detección; déjelo vacío para utilizar la resolución nativa de la transmisión.", + "label": "Altura de detección" + }, + "width": { + "description": "Ancho (en píxeles) de los fotogramas utilizados para la transmisión de detección; déjelo vacío para utilizar la resolución nativa de la transmisión.", + "label": "Anchura de detección" + }, + "stationary": { + "description": "Configuración para detectar y gestionar objetos que permanecen inmóviles durante un periodo de tiempo.", + "label": "Configuración de objetos estacionarios", + "interval": { + "label": "Intervalo estacionario", + "description": "Frecuencia (en fotogramas) con la que se ejecuta una comprobación de detección para confirmar un objeto estacionario." + }, + "threshold": { + "label": "Umbral estacionario", + "description": "Número de fotogramas sin cambio de posición necesarios para marcar un objeto como estacionario." + }, + "max_frames": { + "label": "Fotogramas máximos", + "description": "Limita durante cuánto tiempo se rastrean los objetos estacionarios antes de descartarlos.", + "default": { + "label": "Fotogramas máximos predeterminados", + "description": "Número máximo predeterminado de fotogramas para rastrear un objeto estacionario antes de detenerse." + }, + "objects": { + "label": "Fotogramas máximos por objeto", + "description": "Sobrescrituras por objeto para el número máximo de fotogramas en los que rastrear objetos estacionarios." + } + }, + "classifier": { + "label": "Habilitar clasificador visual", + "description": "Usa un clasificador visual para detectar objetos realmente estacionarios incluso cuando los cuadros delimitadores oscilan." + } + }, + "label": "Detección de objetos", + "description": "Ajustes del rol de detección/detect usado para ejecutar la detección de objetos e inicializar los rastreadores.", + "enabled": { + "label": "Habilitar detección de objetos", + "description": "Habilita o deshabilita la detección de objetos para esta cámara." + }, + "max_disappeared": { + "label": "Fotogramas máximos desaparecido", + "description": "Número de fotogramas sin detección antes de que un objeto rastreado se considere desaparecido." + }, + "annotation_offset": { + "label": "Desplazamiento de anotaciones", + "description": "Milisegundos para desplazar las anotaciones de detección y alinear mejor los cuadros delimitadores de la línea de tiempo con las grabaciones; puede ser positivo o negativo." + } + }, + "record": { + "motion": { + "description": "Número de días para conservar las grabaciones activadas por movimiento, independientemente de los objetos rastreados. Establézcalo en 0 si solo desea conservar las grabaciones de alertas y detecciones.", + "label": "Retención de movimiento", + "days": { + "label": "Días de retención", + "description": "Días durante los que conservar las grabaciones." + } + }, + "continuous": { + "description": "Número de días para conservar las grabaciones, independientemente de los objetos rastreados o del movimiento. Establézcalo en 0 si solo desea conservar las grabaciones de alertas y detecciones.", + "label": "Retención continua", + "days": { + "label": "Días de retención", + "description": "Días durante los que conservar las grabaciones." + } + }, + "detections": { + "pre_capture": { + "description": "Número de segundos antes del evento de detección que se incluirán en la grabación.", + "label": "Segundos de captura previa" + }, + "post_capture": { + "description": "Número de segundos después del evento de detección que se incluirán en la grabación.", + "label": "Segundos de captura posterior" + }, + "label": "Retención de detección", + "description": "Ajustes de retención de grabaciones para eventos de detección, incluidas las duraciones de captura previa/posterior.", + "retain": { + "label": "Retención de eventos", + "description": "Ajustes de retención para grabaciones de eventos de detección.", + "days": { + "label": "Días de retención", + "description": "Número de días durante los que conservar grabaciones de eventos de detección." + }, + "mode": { + "label": "Modo de retención", + "description": "Modo de retención: all (guarda todos los segmentos), motion (guarda segmentos con movimiento) o active_objects (guarda segmentos con objetos activos)." + } + } + }, + "alerts": { + "pre_capture": { + "description": "Número de segundos antes del evento de detección que se incluirán en la grabación.", + "label": "Segundos de captura previa" + }, + "post_capture": { + "description": "Número de segundos después del evento de detección que se incluirán en la grabación.", + "label": "Segundos de captura posterior" + }, + "label": "Retención de alertas", + "description": "Ajustes de retención de grabaciones para eventos de alerta, incluidas las duraciones de captura previa/posterior.", + "retain": { + "label": "Retención de eventos", + "description": "Ajustes de retención para grabaciones de eventos de detección.", + "days": { + "label": "Días de retención", + "description": "Número de días durante los que conservar grabaciones de eventos de detección." + }, + "mode": { + "label": "Modo de retención", + "description": "Modo de retención: all (guarda todos los segmentos), motion (guarda segmentos con movimiento) o active_objects (guarda segmentos con objetos activos)." + } + } + }, + "label": "Grabación", + "description": "Ajustes de grabación y retención para esta cámara.", + "enabled": { + "label": "Habilitar grabación", + "description": "Habilita o deshabilita la grabación para esta cámara." + }, + "expire_interval": { + "label": "Intervalo de limpieza de grabaciones", + "description": "Minutos entre pasadas de limpieza que eliminan segmentos de grabación caducados." + }, + "export": { + "label": "Configuración de exportación", + "description": "Ajustes usados al exportar grabaciones, como timelapse y aceleración por hardware.", + "hwaccel_args": { + "label": "Argumentos hwaccel de exportación", + "description": "Argumentos de aceleración por hardware que se usarán en operaciones de exportación/transcodificación." + }, + "max_concurrent": { + "label": "Exportaciones simultáneas máximas", + "description": "Número máximo de trabajos de exportación que se procesarán al mismo tiempo." + } + }, + "preview": { + "label": "Configuración de vista previa", + "description": "Ajustes que controlan la calidad de las vistas previas de grabaciones mostradas en la interfaz.", + "quality": { + "label": "Calidad de vista previa", + "description": "Nivel de calidad de vista previa (very_low, low, medium, high, very_high)." + } + }, + "enabled_in_config": { + "label": "Estado de grabación original", + "description": "Indica si la grabación estaba habilitada en la configuración estática original." + } + }, + "ui": { + "dashboard": { + "description": "Alterna si esta cámara es visible en toda la interfaz de usuario de Frigate. Desactivar esta opción requerirá editar manualmente la configuración para volver a visualizar esta cámara en la interfaz.", + "label": "Mostrar en la interfaz" + }, + "label": "Interfaz de cámara", + "description": "Orden de visualización y visibilidad de esta cámara en la interfaz. El orden afecta al panel predeterminado. Para un control más granular, usa grupos de cámaras.", + "order": { + "label": "Orden en la interfaz", + "description": "Orden numérico usado para ordenar la cámara en la interfaz (panel predeterminado y listas); los números más altos aparecen más tarde." + } + }, + "live": { + "height": { + "description": "Altura (en píxeles) para renderizar la transmisión en vivo de jsmpeg en la interfaz web; debe ser <= a la altura de la transmisión de detección.", + "label": "Altura en directo" + }, + "description": "Configuraciones utilizadas por la interfaz web para controlar la selección, la resolución y la calidad de transmisiónes en vivo.", + "label": "Reproducción en directo", + "streams": { + "label": "Nombres de flujos en directo", + "description": "Asignación de nombres de flujos configurados a nombres de restream/go2rtc usados para la reproducción en directo." + }, + "quality": { + "label": "Calidad en directo", + "description": "Calidad de codificación para el flujo jsmpeg (1 la más alta, 31 la más baja)." + } + }, + "review": { + "description": "Configuraciones que controlan las alertas, las detecciones y los resúmenes de revisión de GenAI utilizados por la interfaz de usuario y el almacenamiento de esta cámara.", + "alerts": { + "required_zones": { + "description": "Zonas en las que debe entrar un objeto para ser considerado una alerta; dejar vacío para permitir cualquier zona.", + "label": "Zonas requeridas" + }, + "labels": { + "description": "Lista de etiquetas de objetos que califican como alertas (por ejemplo: car, person).", + "label": "Etiquetas de alerta" + }, + "label": "Configuración de alertas", + "description": "Ajustes sobre qué objetos rastreados generan alertas y cómo se conservan las alertas.", + "enabled": { + "label": "Habilitar alertas", + "description": "Habilita o deshabilita la generación de alertas para esta cámara." + }, + "enabled_in_config": { + "label": "Estado original de alertas", + "description": "Rastrea si las alertas estaban habilitadas originalmente en la configuración estática." + }, + "cutoff_time": { + "label": "Tiempo de corte de alertas", + "description": "Segundos que se esperarán tras dejar de haber actividad causante de alerta antes de cortar una alerta." + } + }, + "detections": { + "required_zones": { + "description": "Zonas en las que debe entrar un objeto para ser considerado detectado; dejar vacío para permitir cualquier zona.", + "label": "Zonas requeridas" + }, + "description": "Configuración para determinar qué objetos rastreados generan detecciones (no alertas) y cómo se retienen dichas detecciones.", + "label": "Configuración de detecciones", + "enabled": { + "label": "Habilitar detecciones", + "description": "Habilita o deshabilita los eventos de detección para esta cámara." + }, + "labels": { + "label": "Etiquetas de detección", + "description": "Lista de etiquetas de objetos que cuentan como eventos de detección." + }, + "cutoff_time": { + "label": "Tiempo de corte de detecciones", + "description": "Segundos que se esperarán tras dejar de haber actividad causante de detección antes de cortar una detección." + }, + "enabled_in_config": { + "label": "Estado original de detecciones", + "description": "Rastrea si las detecciones estaban habilitadas originalmente en la configuración estática." + } + }, + "genai": { + "image_source": { + "description": "Fuente de las imágenes enviadas a GenAI ('preview' o 'recordings'); La opción 'recordings' utiliza fotogramas de mayor calidad, pero requiere más tokens.", + "label": "Origen de imagen de revisión" + }, + "additional_concerns": { + "description": "Una lista de preocupaciones o notas adicionales que GenAI debería tener en cuenta al evaluar la actividad en esta cámara.", + "label": "Consideraciones adicionales" + }, + "activity_context_prompt": { + "description": "Instrucción personalizada que describe qué constituye y qué no una actividad sospechosa, con el fin de proporcionar contexto para los resúmenes generados por GenAI.", + "label": "Prompt de contexto de actividad" + }, + "description": "Controla el uso de IA generativa (GenAI) para la elaboración de descripciones y resúmenes de elementos de revisión.", + "debug_save_thumbnails": { + "description": "Guarde las miniaturas que se envían al proveedor de GenAI para su depuración y revisión.", + "label": "Guardar miniaturas" + }, + "label": "Configuración de GenAI", + "enabled": { + "label": "Habilitar descripciones de GenAI", + "description": "Habilita o deshabilita las descripciones y resúmenes generados por GenAI para los elementos de revisión." + }, + "alerts": { + "label": "Habilitar GenAI para alertas", + "description": "Usa GenAI para generar descripciones de elementos de alerta." + }, + "detections": { + "label": "Habilitar GenAI para detecciones", + "description": "Usa GenAI para generar descripciones de elementos de detección." + }, + "enabled_in_config": { + "label": "Estado original de GenAI", + "description": "Rastrea si la revisión de GenAI estaba habilitada originalmente en la configuración estática." + }, + "preferred_language": { + "label": "Idioma preferido", + "description": "Idioma preferido que se solicitará al proveedor de GenAI para las respuestas generadas." + } + }, + "label": "Revisión" + }, + "birdseye": { + "description": "Configuración para la vista compuesta Birdseye, que combina las transmisiones de múltiples cámaras en una sola vista.", + "label": "Vista general", + "enabled": { + "label": "Habilitar Birdseye", + "description": "Habilita o deshabilita la función de vista Birdseye." + }, + "mode": { + "label": "Modo de seguimiento", + "description": "Modo para incluir cámaras en Birdseye: 'objects', 'motion' o 'continuous'." + }, + "order": { + "label": "Posición", + "description": "Posición numérica que controla el orden de la cámara en el diseño de Birdseye." + } + }, + "ffmpeg": { + "retry_interval": { + "description": "Segundos de espera antes de intentar reconectar la transmisión de una cámara tras un fallo. El valor predeterminado es 10.", + "label": "Tiempo de reintento de FFmpeg" + }, + "path": { + "description": "Ruta al binario de FFmpeg que se va a utilizar o un alias de versión (\"5.0\" o \"7.0\").", + "label": "Ruta de FFmpeg" + }, + "output_args": { + "description": "Argumentos de salida predeterminados utilizados para diferentes roles de FFmpeg, tales como detección y grabación.", + "label": "Argumentos de salida", + "detect": { + "label": "Argumentos de salida de detección", + "description": "Argumentos de salida predeterminados para los flujos con rol de detección." + }, + "record": { + "label": "Argumentos de salida de grabación", + "description": "Argumentos de salida predeterminados para los flujos con rol de grabación." + } + }, + "description": "Configuración de FFmpeg, incluyendo la ruta del binario, argumentos, opciones de aceleración por hardware y argumentos de salida por rol.", + "label": "FFmpeg", + "global_args": { + "label": "Argumentos globales de FFmpeg", + "description": "Argumentos globales pasados a los procesos de FFmpeg." + }, + "hwaccel_args": { + "label": "Argumentos de aceleración por hardware", + "description": "Argumentos de aceleración por hardware para FFmpeg. Se recomiendan preajustes específicos del proveedor." + }, + "input_args": { + "label": "Argumentos de entrada", + "description": "Argumentos de entrada aplicados a los flujos de entrada de FFmpeg." + }, + "apple_compatibility": { + "label": "Compatibilidad con Apple", + "description": "Habilita el etiquetado HEVC para mejorar la compatibilidad con reproductores de Apple al grabar H.265." + }, + "gpu": { + "label": "Índice de GPU", + "description": "Índice de GPU predeterminado usado para la aceleración por hardware si está disponible." + }, + "inputs": { + "label": "Entradas de cámara", + "description": "Lista de definiciones de flujos de entrada (rutas y roles) para esta cámara.", + "path": { + "label": "Ruta de entrada", + "description": "URL o ruta del flujo de entrada de la cámara." + }, + "roles": { + "label": "Roles de entrada", + "description": "Roles para este flujo de entrada." + }, + "global_args": { + "label": "Argumentos globales de FFmpeg", + "description": "Argumentos globales de FFmpeg para este flujo de entrada." + }, + "hwaccel_args": { + "label": "Argumentos de aceleración por hardware", + "description": "Argumentos de aceleración por hardware para este flujo de entrada." + }, + "input_args": { + "label": "Argumentos de entrada", + "description": "Argumentos de entrada específicos para este flujo." } } + }, + "face_recognition": { + "label": "Reconocimiento facial", + "description": "Ajustes de detección y reconocimiento facial para esta cámara.", + "enabled": { + "label": "Habilitar reconocimiento facial", + "description": "Habilita o deshabilita el reconocimiento facial." + }, + "min_area": { + "label": "Área mínima de rostro", + "description": "Área mínima (píxeles) del cuadro de un rostro detectado necesaria para intentar el reconocimiento." + } + }, + "semantic_search": { + "label": "Búsqueda semántica", + "description": "Ajustes de búsqueda semántica, que crea y consulta embeddings de objetos para encontrar elementos similares.", + "triggers": { + "label": "Activadores", + "description": "Acciones y criterios de coincidencia para activadores de búsqueda semántica específicos de la cámara.", + "friendly_name": { + "label": "Nombre descriptivo", + "description": "Nombre descriptivo opcional mostrado en la interfaz para este activador." + }, + "enabled": { + "label": "Habilitar este activador", + "description": "Habilita o deshabilita este activador de búsqueda semántica." + }, + "type": { + "label": "Tipo de activador", + "description": "Tipo de activador: 'thumbnail' (coincidir con imagen) o 'description' (coincidir con texto)." + }, + "data": { + "label": "Contenido del activador", + "description": "Frase de texto o ID de miniatura que se comparará con objetos rastreados." + }, + "threshold": { + "label": "Umbral del activador", + "description": "Puntuación mínima de similitud (0-1) necesaria para activar este activador." + }, + "actions": { + "label": "Acciones del activador", + "description": "Lista de acciones que se ejecutarán cuando el activador coincida (notification, sub_label, attribute)." + } + } + }, + "snapshots": { + "label": "Instantáneas", + "description": "Ajustes de instantáneas generadas por la API de objetos rastreados para esta cámara.", + "enabled": { + "label": "Habilitar instantáneas", + "description": "Habilita o deshabilita el guardado de instantáneas para esta cámara." + }, + "timestamp": { + "label": "Superposición de marca de tiempo", + "description": "Superpone una marca de tiempo en las instantáneas de la API." + }, + "bounding_box": { + "label": "Superposición de cuadro delimitador", + "description": "Dibuja cuadros delimitadores para los objetos rastreados en las instantáneas de la API." + }, + "crop": { + "label": "Recortar instantánea", + "description": "Recorta las instantáneas de la API al cuadro delimitador del objeto detectado." + }, + "required_zones": { + "label": "Zonas requeridas", + "description": "Zonas en las que debe entrar un objeto para que se guarde una instantánea." + }, + "height": { + "label": "Altura de instantánea", + "description": "Altura (píxeles) a la que redimensionar las instantáneas de la API; déjalo vacío para conservar el tamaño original." + }, + "retain": { + "label": "Retención de instantáneas", + "description": "Ajustes de retención de instantáneas, incluidos días predeterminados y sobrescrituras por objeto.", + "default": { + "label": "Retención predeterminada", + "description": "Número predeterminado de días durante los que conservar instantáneas." + }, + "mode": { + "label": "Modo de retención", + "description": "Modo de retención: all (guarda todos los segmentos), motion (guarda segmentos con movimiento) o active_objects (guarda segmentos con objetos activos)." + }, + "objects": { + "label": "Retención por objeto", + "description": "Sobrescrituras por objeto para los días de retención de instantáneas." + } + }, + "quality": { + "label": "Calidad de instantánea", + "description": "Calidad de codificación de las instantáneas guardadas (0-100)." + } + }, + "timestamp_style": { + "label": "Estilo de marca de tiempo", + "description": "Opciones de estilo para marcas de tiempo integradas aplicadas a grabaciones e instantáneas.", + "position": { + "label": "Posición de marca de tiempo", + "description": "Posición de la marca de tiempo en la imagen (tl/tr/bl/br)." + }, + "format": { + "label": "Formato de marca de tiempo", + "description": "Cadena de formato de fecha y hora usada para las marcas de tiempo (códigos de formato datetime de Python)." + }, + "color": { + "label": "Color de marca de tiempo", + "description": "Valores de color RGB para el texto de la marca de tiempo (todos los valores 0-255).", + "red": { + "label": "Rojo", + "description": "Componente rojo (0-255) para el color de la marca de tiempo." + }, + "green": { + "label": "Verde", + "description": "Componente verde (0-255) para el color de la marca de tiempo." + }, + "blue": { + "label": "Azul", + "description": "Componente azul (0-255) para el color de la marca de tiempo." + } + }, + "thickness": { + "label": "Grosor de marca de tiempo", + "description": "Grosor de línea del texto de la marca de tiempo." + }, + "effect": { + "label": "Efecto de marca de tiempo", + "description": "Efecto visual para el texto de la marca de tiempo (none, solid, shadow)." + } + }, + "best_image_timeout": { + "label": "Tiempo de espera de mejor imagen", + "description": "Tiempo que se esperará la imagen con la puntuación de confianza más alta." + }, + "type": { + "label": "Tipo de cámara", + "description": "Tipo de cámara" + }, + "webui_url": { + "label": "URL de la cámara", + "description": "URL para visitar la cámara directamente desde la página del sistema" + }, + "profiles": { + "label": "Perfiles", + "description": "Perfiles de configuración con nombre y sobrescrituras parciales que pueden activarse en tiempo de ejecución." + }, + "enabled_in_config": { + "label": "Estado original de cámara", + "description": "Mantiene el registro del estado original de la cámara." } } diff --git a/web/public/locales/es/config/global.json b/web/public/locales/es/config/global.json index 53cdd0aa6e..a6931ba473 100644 --- a/web/public/locales/es/config/global.json +++ b/web/public/locales/es/config/global.json @@ -24,9 +24,10 @@ } }, "audio": { - "label": "Eventos de audio", + "label": "Detección de audio", "enabled": { - "label": "Habilitar la detección de audio" + "label": "Habilitar la detección de audio", + "description": "Habilita o deshabilita la detección de eventos de audio para todas las cámaras; se puede sobrescribir por cámara." }, "max_not_heard": { "label": "Finalizar el tiempo de espera", @@ -42,15 +43,21 @@ }, "filters": { "label": "Filtros de audio", - "description": "Ajustes de filtrado por tipo de audio, como umbrales de confianza utilizados para reducir los falsos positivos." + "description": "Ajustes de filtrado por tipo de audio, como umbrales de confianza utilizados para reducir los falsos positivos.", + "threshold": { + "label": "Confianza mínima de audio", + "description": "Umbral mínimo de confianza para que se cuente el evento de audio." + } }, "enabled_in_config": { "description": "Indica si la detección de audio estaba habilitada originalmente en el archivo de configuración estática.", "label": "Estado original del audio" }, "num_threads": { - "label": "Hilos de detección" - } + "label": "Hilos de detección", + "description": "Número de hilos que se utilizarán para el procesamiento de la detección de audio." + }, + "description": "Ajustes para la detección de eventos basada en audio en todas las cámaras; se pueden sobrescribir por cámara." }, "auth": { "label": "Autenticación", @@ -70,11 +77,110 @@ "cookie_secure": { "label": "Flag de cookie segura", "description": "Establece el flag de seguridad en la cookie de autenticación; debe ser 'true' cuando se utilice TLS." + }, + "failed_login_rate_limit": { + "label": "Limite de intento de acceso fallidos", + "description": "Reglas de limitación de intentos de inicio de sesión fallidos para reducir los ataques de fuerza bruta." + }, + "session_length": { + "description": "Duración de la sesión en segundos para sesiones de JWT.", + "label": "Duración de la sesión" + }, + "admin_first_time_login": { + "description": "Cuando se establece en true, la interfaz de usuario puede mostrar un enlace de ayuda en la página de inicio de sesión, informando a los usuarios sobre cómo iniciar sesión tras el restablecimiento de la contraseña de administrador. ", + "label": "Marca de administrador inicial" + }, + "refresh_time": { + "description": "Cuando a una sesión le queden menos de esta cantidad de segundos para expirar, actualícela para restablecer su duración completa.", + "label": "Ventana de actualización de la sesión" + }, + "trusted_proxies": { + "label": "Proxies de confianza", + "description": "Lista de IPs de proxies de confianza utilizadas para determinar la IP del cliente en la limitación de peticiones." + }, + "hash_iterations": { + "label": "Iteraciones de hash", + "description": "Número de iteraciones PBKDF2-SHA256 que se utilizarán al generar el hash de las contraseñas de los usuarios." + }, + "roles": { + "label": "Asignaciones de roles", + "description": "Asigna roles a listas de cámaras. Una lista vacía concede acceso a todas las cámaras para ese rol." } }, "onvif": { "profile": { - "label": "Perfil ONVIF" + "label": "Perfil ONVIF", + "description": "Perfil multimedia ONVIF específico que se utilizará para el control PTZ, identificado por token o nombre. Si no se especifica, se selecciona automáticamente el primer perfil con una configuración PTZ válida." + }, + "autotracking": { + "zoom_factor": { + "description": "Controla el nivel de zoom en los objetos rastreados. Los valores más bajos mantienen una mayor parte de la escena a la vista; los valores más altos acercan la imagen, pero pueden provocar la pérdida del rastreo. Valores entre 0.1 y 0.75.", + "label": "Factor de zoom" + }, + "calibrate_on_startup": { + "description": "Mida la velocidad de los motores PTZ al encenderlos para mejorar la precisión del seguimiento. Frigate actualizará la configuración con los `movement_weights` tras la calibración.", + "label": "Calibrar al iniciar" + }, + "description": "Realice un seguimiento automático de objetos en movimiento y manténgalos centrados en el encuadre mediante movimientos de cámara PTZ.", + "zooming": { + "description": "Control del comportamiento del zoom: deshabilitado (solo panorámica/inclinación), absoluto (mayor compatibilidad) o relativo (panorámica/inclinación/zoom simultáneos).", + "label": "Modo de zoom" + }, + "return_preset": { + "description": "Nombre del preajuste ONVIF configurado en el firmware de la cámara al que regresar una vez finalizado el seguimiento.", + "label": "Preajuste de retorno" + }, + "timeout": { + "description": "Espere esta cantidad de segundos después de perder el seguimiento antes de devolver la cámara a la posición preestablecida.", + "label": "Tiempo de espera de retorno" + }, + "label": "Seguimiento automático", + "enabled": { + "label": "Habilitar seguimiento automático", + "description": "Habilita o deshabilita el seguimiento automático con cámara PTZ de objetos detectados." + }, + "track": { + "label": "Objetos rastreados", + "description": "Lista de tipos de objetos que deben activar el seguimiento automático." + }, + "required_zones": { + "label": "Zonas requeridas", + "description": "Los objetos deben entrar en una de estas zonas antes de que comience el seguimiento automático." + }, + "movement_weights": { + "label": "Pesos de movimiento", + "description": "Valores de calibración generados automáticamente por la calibración de la cámara. No los modifiques manualmente." + }, + "enabled_in_config": { + "label": "Estado original de autoseguimiento", + "description": "Campo interno para rastrear si el seguimiento automático estaba habilitado en la configuración." + } + }, + "tls_insecure": { + "description": "Omitir la verificación TLS y deshabilitar la autenticación digest para ONVIF (no seguro; usar solo en redes seguras).", + "label": "Deshabilitar verificación TLS" + }, + "label": "ONVIF", + "description": "Ajustes de conexión ONVIF y seguimiento automático PTZ para esta cámara.", + "host": { + "label": "Host ONVIF", + "description": "Host (y esquema opcional) para el servicio ONVIF de esta cámara." + }, + "port": { + "label": "Puerto ONVIF", + "description": "Número de puerto del servicio ONVIF." + }, + "user": { + "label": "Nombre de usuario ONVIF", + "description": "Nombre de usuario para la autenticación ONVIF; algunos dispositivos requieren un usuario administrador para ONVIF." + }, + "password": { + "label": "Contraseña ONVIF", + "description": "Contraseña para la autenticación ONVIF." + }, + "ignore_time_mismatch": { + "label": "Ignorar discrepancia horaria", + "description": "Ignora las diferencias de sincronización horaria entre la cámara y el servidor Frigate para la comunicación ONVIF." } }, "objects": { @@ -91,6 +197,122 @@ "use_snapshot": { "label": "Usar instantáneas", "description": "Usar instantáneas de objetos en lugar de miniaturas para la generación de descripciones de GenAI." + }, + "send_triggers": { + "after_significant_updates": { + "description": "Envía una solicitud a GenAI tras un número especificado de actualizaciones significativas del objeto rastreado.", + "label": "Activador temprano de GenAI" + }, + "description": "Define cuándo se deben enviar los fotogramas a GenAI (al finalizar, después de las actualizaciones, etc.).", + "label": "Activadores de GenAI", + "tracked_object_end": { + "label": "Enviar al finalizar", + "description": "Envía una solicitud a GenAI cuando finaliza el objeto rastreado." + } + }, + "required_zones": { + "description": "Zonas en las que deben ubicarse los objetos para ser elegibles para la generación de descripciones con GenAI.", + "label": "Zonas requeridas" + }, + "prompt": { + "label": "Prompt de descripción", + "description": "Plantilla de prompt predeterminada usada al generar descripciones con GenAI." + }, + "object_prompts": { + "label": "Prompts de objetos", + "description": "Prompts por objeto para personalizar las salidas de GenAI para etiquetas concretas." + }, + "objects": { + "label": "Objetos de GenAI", + "description": "Lista de etiquetas de objetos que se enviarán a GenAI de forma predeterminada." + }, + "debug_save_thumbnails": { + "label": "Guardar miniaturas", + "description": "Guarda las miniaturas enviadas a GenAI para depuración y revisión." + }, + "enabled_in_config": { + "label": "Estado original de GenAI", + "description": "Indica si GenAI estaba habilitado en la configuración estática original." + } + }, + "track": { + "description": "Lista de etiquetas de objetos a rastrear para todas las cámaras; puede anularse por cámara.", + "label": "Objetos a rastrear" + }, + "label": "Objetos", + "description": "Valores predeterminados de seguimiento de objetos, incluidas las etiquetas que se rastrean y los filtros por objeto.", + "filters": { + "label": "Filtros de objetos", + "description": "Filtros aplicados a los objetos detectados para reducir falsos positivos (área, relación, confianza).", + "min_area": { + "label": "Área mínima de objeto", + "description": "Área mínima del cuadro delimitador (píxeles o porcentaje) necesaria para este tipo de objeto. Puede ser píxeles (int) o porcentaje (float entre 0.000001 y 0.99)." + }, + "max_area": { + "label": "Área máxima de objeto", + "description": "Área máxima del cuadro delimitador (píxeles o porcentaje) permitida para este tipo de objeto. Puede ser píxeles (int) o porcentaje (float entre 0.000001 y 0.99)." + }, + "min_ratio": { + "label": "Relación de aspecto mínima", + "description": "Relación mínima anchura/altura necesaria para que el cuadro delimitador sea válido." + }, + "max_ratio": { + "label": "Relación de aspecto máxima", + "description": "Relación máxima anchura/altura permitida para que el cuadro delimitador sea válido." + }, + "threshold": { + "label": "Umbral de confianza", + "description": "Umbral medio de confianza de detección necesario para que el objeto se considere un positivo verdadero." + }, + "min_score": { + "label": "Confianza mínima", + "description": "Confianza mínima de detección en un único fotograma necesaria para que el objeto se contabilice." + }, + "mask": { + "label": "Máscara de filtro", + "description": "Coordenadas del polígono que definen dónde se aplica este filtro dentro del fotograma." + }, + "raw_mask": { + "label": "Máscara sin procesar" + } + }, + "mask": { + "label": "Máscara de objeto", + "description": "Polígono de máscara usado para evitar la detección de objetos en áreas especificadas." + }, + "filters_attribute": { + "label": "Filtros de atributos", + "description": "Filtros aplicados a los atributos detectados para reducir falsos positivos (área, proporción y confianza).", + "min_area": { + "label": "Área mínima del atributo", + "description": "Área mínima del cuadro delimitador (en píxeles o porcentaje) necesaria para este atributo. Puede expresarse en píxeles (entero) o como porcentaje (valor decimal entre 0.000001 y 0.99)." + }, + "max_area": { + "label": "Área máxima del atributo", + "description": "Área máxima del cuadro delimitador (en píxeles o porcentaje) permitida para este atributo. Puede expresarse en píxeles (entero) o como porcentaje (valor decimal entre 0.000001 y 0.99)." + }, + "min_ratio": { + "label": "Relación de aspecto mínima", + "description": "Relación mínima entre anchura y altura necesaria para que el cuadro delimitador se considere válido." + }, + "max_ratio": { + "label": "Relación de aspecto máxima", + "description": "Relación máxima entre anchura y altura permitida para que el cuadro delimitador se considere válido." + }, + "threshold": { + "label": "Umbral de confianza", + "description": "Umbral medio de confianza de detección necesario para que el atributo se considere un verdadero positivo." + }, + "min_score": { + "label": "Confianza mínima", + "description": "Confianza mínima de detección en un único fotograma necesaria para asociar este atributo con su objeto principal." + }, + "mask": { + "label": "Máscara de filtro", + "description": "Coordenadas del polígono que definen dónde se aplica este filtro dentro del fotograma." + }, + "raw_mask": { + "label": "Máscara sin procesar" } } }, @@ -98,15 +320,1316 @@ "deepstack": { "description": "Detector DeepStack/CodeProject.AI que envía imágenes a una API HTTP remota de DeepStack para la inferencia. No recomendado.", "api_url": { - "description": "La URL de la API de DeepStack." + "description": "La URL de la API de DeepStack.", + "label": "URL de la API de DeepStack" }, "api_timeout": { "label": "Tiempo de espera de la API de DeepStack (en segundos)", "description": "Tiempo máximo permitido para una solicitud a la API de DeepStack." }, "api_key": { - "label": "Clave de API de DeepStack (si es necesaria)" + "label": "Clave de API de DeepStack (si es necesaria)", + "description": "Clave API opcional para servicios autenticados de DeepStack." + }, + "label": "DeepStack" + }, + "type": { + "label": "Tipo" + }, + "label": "Detector de hardware", + "cpu": { + "label": "CPU", + "num_threads": { + "label": "Número de hilos para detección", + "description": "Número de hilos usados para inferencia basada en CPU." + }, + "description": "Detector TFLite de CPU que ejecuta modelos de TensorFlow Lite en la CPU del host sin aceleración por hardware. No recomendado." + }, + "axengine": { + "label": "Motor AX NPU", + "description": "Detector NPU AXERA AX650N/AX8850N que ejecuta archivos .axmodel compilados mediante el runtime AXEngine." + }, + "teflon_tfl": { + "description": "Detector de delegados Teflon para TFLite, que utiliza la biblioteca de delegados Mesa Teflon para acelerar la inferencia en las GPU compatibles.", + "label": "Teflon" + }, + "synaptics": { + "description": "Detector NPU de Synaptics para modelos en formato .synap, utilizando el Synap SDK en hardware de Synaptics.", + "label": "Synaptics" + }, + "zmq": { + "description": "Detector ZMQ IPC que descarga la inferencia a un proceso externo a través de un punto de conexión IPC de ZeroMQ.", + "label": "IPC de ZMQ", + "endpoint": { + "label": "Endpoint IPC de ZMQ", + "description": "Endpoint ZMQ al que conectarse." + }, + "request_timeout_ms": { + "label": "Tiempo de espera de solicitud ZMQ en milisegundos", + "description": "Tiempo de espera para solicitudes ZMQ en milisegundos." + }, + "linger_ms": { + "label": "Persistencia del socket ZMQ en milisegundos", + "description": "Periodo de persistencia del socket en milisegundos." + } + }, + "hailo8l": { + "description": "Detector Hailo-8/Hailo-8L que utiliza modelos HEF y el SDK HailoRT para la inferencia en hardware Hailo.", + "label": "Hailo-8/Hailo-8L", + "device": { + "label": "Tipo de dispositivo", + "description": "Dispositivo que se usará para la inferencia Hailo (p. ej., 'PCIe', 'M.2')." + } + }, + "onnx": { + "description": "Detector ONNX para ejecutar modelos ONNX; utilizará los backends de aceleración disponibles (CUDA/ROCm/OpenVINO) cuando estén disponibles.", + "label": "ONNX", + "device": { + "label": "Tipo de dispositivo", + "description": "Dispositivo que se usará para la inferencia ONNX (p. ej., 'AUTO', 'CPU', 'GPU')." + } + }, + "description": "Configuración para detectores de objetos (backends de CPU, GPU y ONNX) y cualquier ajuste del modelo específico del detector.", + "openvino": { + "description": "Detector OpenVINO para CPU AMD e Intel, GPU Intel y hardware VPU Intel.", + "label": "OpenVINO", + "device": { + "label": "Tipo de dispositivo", + "description": "Dispositivo que se usará para la inferencia OpenVINO (p. ej., 'CPU', 'GPU', 'NPU')." + } + }, + "tensorrt": { + "description": "Detector TensorRT para dispositivos Nvidia Jetson que utiliza motores TensorRT serializados para una inferencia acelerada.", + "label": "TensorRT", + "device": { + "label": "Índice de dispositivo GPU", + "description": "Índice del dispositivo GPU que se usará." + } + }, + "degirum": { + "description": "Detector DeGirum para ejecutar modelos a través de la nube de DeGirum o servicios de inferencia local.", + "label": "DeGirum", + "location": { + "label": "Ubicación de inferencia", + "description": "Ubicación del motor de inferencia DeGirum (p. ej., '@cloud', '127.0.0.1')." + }, + "zoo": { + "label": "Repositorio de modelos", + "description": "Ruta o URL al repositorio de modelos de DeGirum." + }, + "token": { + "label": "Token de DeGirum Cloud", + "description": "Token para acceder a DeGirum Cloud." + } + }, + "rknn": { + "description": "Detector RKNN para NPUs de Rockchip; ejecuta modelos compilados para RKNN en hardware de Rockchip.", + "label": "RKNN", + "num_cores": { + "label": "Número de núcleos NPU que se usarán.", + "description": "Número de núcleos NPU que se usarán (0 para automático)." + } + }, + "model": { + "label": "Configuración de modelo específica del detector", + "description": "Opciones de configuración de modelo específicas del detector (ruta, tamaño de entrada, etc.).", + "path": { + "label": "Ruta del modelo de detector de objetos personalizado", + "description": "Ruta a un archivo de modelo de detección personalizado (o plus:// para modelos de Frigate+)." + }, + "labelmap_path": { + "label": "Mapa de etiquetas para detector de objetos personalizado", + "description": "Ruta a un archivo labelmap que asigna clases numéricas a etiquetas de texto para el detector." + }, + "width": { + "label": "Anchura de entrada del modelo de detección de objetos", + "description": "Anchura del tensor de entrada del modelo en píxeles." + }, + "height": { + "label": "Altura de entrada del modelo de detección de objetos", + "description": "Altura del tensor de entrada del modelo en píxeles." + }, + "labelmap": { + "label": "Personalización del mapa de etiquetas", + "description": "Sobrescrituras o entradas de reasignación que se fusionarán con el mapa de etiquetas estándar." + }, + "attributes_map": { + "label": "Mapa de etiquetas de objetos a sus etiquetas de atributos", + "description": "Asignación de etiquetas de objetos a etiquetas de atributos usada para adjuntar metadatos (por ejemplo, 'car' -> ['license_plate'])." + }, + "input_tensor": { + "label": "Forma del tensor de entrada del modelo", + "description": "Formato de tensor esperado por el modelo: 'nhwc' o 'nchw'." + }, + "input_pixel_format": { + "label": "Formato de color de píxeles de entrada del modelo", + "description": "Espacio de color de píxeles esperado por el modelo: 'rgb', 'bgr' o 'yuv'." + }, + "input_dtype": { + "label": "Tipo D de entrada del modelo", + "description": "Tipo de datos del tensor de entrada del modelo (por ejemplo, 'float32')." + }, + "model_type": { + "label": "Tipo de modelo de detección de objetos", + "description": "Tipo de arquitectura del modelo detector (ssd, yolox, yolonas) usado por algunos detectores para optimización." + } + }, + "model_path": { + "label": "Ruta de modelo específica del detector", + "description": "Ruta del archivo binario del modelo detector si lo requiere el detector elegido." + }, + "edgetpu": { + "label": "EdgeTPU", + "description": "Detector EdgeTPU que ejecuta modelos TensorFlow Lite compilados para Coral EdgeTPU mediante el delegado EdgeTPU.", + "device": { + "label": "Tipo de dispositivo", + "description": "Dispositivo que se usará para la inferencia EdgeTPU (p. ej., 'usb', 'pci')." + } + }, + "memryx": { + "label": "MemryX", + "description": "Detector MemryX MX3 que ejecuta modelos DFP compilados en aceleradores MemryX.", + "device": { + "label": "Ruta del dispositivo", + "description": "Dispositivo que se usará para la inferencia MemryX (p. ej., 'PCIe')." + } + } + }, + "database": { + "label": "Base de datos", + "description": "Configuración de la base de datos SQLite utilizada por Frigate para almacenar los metadatos de los objetos rastreados y las grabaciones.", + "path": { + "label": "Ruta de la base de datos", + "description": "Ruta del sistema de archivos donde se almacenará el archivo de base de datos SQLite de Frigate." + } + }, + "mqtt": { + "label": "MQTT", + "port": { + "label": "Puerto MQTT", + "description": "Puerto del broker MQTT (normalmente 1883 para MQTT sin cifrar)." + }, + "tls_client_cert": { + "label": "Certificado cliente", + "description": "Ruta del certificado de cliente para autenticación TLS mutua; no configures usuario/contraseña al usar certificados de cliente." + }, + "description": "Configuración para conectar y publicar telemetría, instantáneas y detalles de eventos en un broker MQTT.", + "topic_prefix": { + "description": "Prefijo del tema MQTT para todos los temas de Frigate; debe ser único si se ejecutan múltiples instancias.", + "label": "Prefijo de tema" + }, + "client_id": { + "description": "Identificador de cliente utilizado al conectarse al broker MQTT; debe ser único para cada instancia.", + "label": "ID de cliente" + }, + "enabled": { + "label": "Habilitar MQTT", + "description": "Habilita o deshabilita la integración MQTT para estados, eventos e instantáneas." + }, + "host": { + "label": "Host MQTT", + "description": "Nombre de host o dirección IP del broker MQTT." + }, + "stats_interval": { + "label": "Intervalo de estadísticas", + "description": "Intervalo en segundos para publicar estadísticas del sistema y de las cámaras en MQTT." + }, + "user": { + "label": "Nombre de usuario MQTT", + "description": "Nombre de usuario MQTT opcional; puede proporcionarse mediante variables de entorno o secretos." + }, + "password": { + "label": "Contraseña MQTT", + "description": "Contraseña MQTT opcional; puede proporcionarse mediante variables de entorno o secretos." + }, + "tls_ca_certs": { + "label": "Certificados CA TLS", + "description": "Ruta al certificado CA para conexiones TLS con el broker (para certificados autofirmados)." + }, + "tls_client_key": { + "label": "Clave de cliente", + "description": "Ruta de la clave privada del certificado de cliente." + }, + "tls_insecure": { + "label": "TLS inseguro", + "description": "Permite conexiones TLS inseguras omitiendo la verificación del nombre de host (no recomendado)." + }, + "qos": { + "label": "QoS de MQTT", + "description": "Nivel de calidad de servicio para publicaciones/suscripciones MQTT (0, 1 o 2)." + } + }, + "notifications": { + "email": { + "label": "Email de notificacion", + "description": "Dirección de correo electrónico usada para notificaciones push o requerida por ciertos proveedores de notificaciones." + }, + "label": "Notificaciones", + "enabled": { + "label": "Habilitar notificaciones", + "description": "Habilita o deshabilita las notificaciones para todas las cámaras; se puede sobrescribir por cámara." + }, + "cooldown": { + "label": "Periodo de enfriamiento", + "description": "Periodo de enfriamiento (segundos) entre notificaciones para evitar saturar a los destinatarios." + }, + "enabled_in_config": { + "label": "Estado original de notificaciones", + "description": "Indica si las notificaciones estaban habilitadas en la configuración estática original." + }, + "description": "Ajustes para habilitar y controlar las notificaciones de todas las cámaras; se pueden sobrescribir por cámara." + }, + "networking": { + "ipv6": { + "label": "Configuración IPV6", + "description": "Ajustes específicos de IPv6 para los servicios de red de Frigate.", + "enabled": { + "label": "Habilitar IPv6", + "description": "Habilita la compatibilidad con IPv6 para los servicios de Frigate (API e interfaz) cuando corresponda." + } + }, + "listen": { + "internal": { + "label": "Puerto interno", + "description": "Puerto de escucha interno de Frigate (predeterminado 5000)." + }, + "external": { + "label": "Puerto externo", + "description": "Puerto externo de escucha para Frigate (por defecto 8791)." + }, + "description": "Configuración de los puertos de escucha internos y externos. Esto es para usuarios avanzados. Para la mayoría de los casos de uso, se recomienda modificar la sección de puertos de su configuración de Docker Compose.", + "label": "Configuración de puertos de escucha" + }, + "label": "Red", + "description": "Ajustes relacionados con la red, como la habilitación de IPv6 para los endpoints de Frigate." + }, + "proxy": { + "label": "Proxy", + "separator": { + "label": "Carácter de separación", + "description": "Carácter usado para separar varios valores proporcionados en las cabeceras del proxy." + }, + "default_role": { + "description": "Rol predeterminado asignado a los usuarios autenticados por proxy cuando no se aplica ningún mapeo de roles (administrador o espectador).", + "label": "Rol predeterminado" + }, + "description": "Configuración para integrar Frigate detrás de un proxy inverso que transmite encabezados de usuario autenticados.", + "header_map": { + "description": "Mapear los encabezados de proxy entrantes a los campos de usuario y rol de Frigate para la autenticación basada en proxy.", + "role": { + "description": "Encabezado que contiene el rol o los grupos del usuario autenticado provenientes del proxy ascendente.", + "label": "Cabecera de rol" + }, + "label": "Asignación de cabeceras", + "user": { + "label": "Cabecera de usuario", + "description": "Cabecera que contiene el nombre de usuario autenticado proporcionado por el proxy ascendente." + }, + "role_map": { + "label": "Asignación de roles", + "description": "Asigna valores de grupos ascendentes a roles de Frigate (por ejemplo, asignar grupos de administradores al rol de administrador)." + } + }, + "logout_url": { + "label": "URL de cierre de sesión", + "description": "URL a la que redirigir a los usuarios al cerrar sesión mediante el proxy." + }, + "auth_secret": { + "label": "Secreto del proxy", + "description": "Secreto opcional que se comprueba con la cabecera X-Proxy-Secret para verificar proxies de confianza." + } + }, + "telemetry": { + "label": "Telemetria", + "stats": { + "intel_gpu_stats": { + "label": "Estadísticas GPU Intel", + "description": "Habilitar la recopilación de estadísticas de la GPU Intel si hay una GPU Intel presente." + }, + "network_bandwidth": { + "label": "Ancho de banda", + "description": "Habilita la monitorización del ancho de banda de red por proceso para procesos ffmpeg de cámaras y detectores (requiere capacidades)." + }, + "amd_gpu_stats": { + "label": "Estadísticas GPU Amd", + "description": "Habilitar la recopilación de estadísticas de la GPU AMD si hay una GPU AMD presente." + }, + "intel_gpu_device": { + "description": "Dirección del bus PCI o ruta del dispositivo DRM (p. ej., /dev/dri/card1) usada para fijar las estadísticas de la GPU Intel a un dispositivo concreto cuando hay varios presentes.", + "label": "Dispositivo GPU Intel" + }, + "label": "Estadísticas del sistema", + "description": "Opciones para habilitar/deshabilitar la recopilación de distintas estadísticas del sistema y de la GPU." + }, + "version_check": { + "description": "Habilite una verificación saliente para detectar si hay disponible una versión más reciente de Frigate.", + "label": "Comprobación de versión" + }, + "description": "Opciones de telemetría y estadísticas del sistema, incluida la monitorización de GPU y ancho de banda de red.", + "network_interfaces": { + "label": "Interfaces de red", + "description": "Lista de prefijos de nombres de interfaces de red que se monitorizarán para estadísticas de ancho de banda." + } + }, + "ui": { + "timezone": { + "label": "Uso horario", + "description": "Zona horaria opcional que se mostrará en la interfaz de usuario (si no se especifica, se utilizará la hora local del navegador)." + }, + "unit_system": { + "label": "Unidad de sistema", + "description": "Sistema de unidades para la visualización (métrico o imperial) utilizado en la interfaz de usuario y en MQTT." + }, + "label": "Interfaz", + "description": "Preferencias de la interfaz de usuario, como zona horaria, formato de fecha/hora y unidades.", + "time_format": { + "label": "Formato de hora", + "description": "Formato de hora que se usará en la interfaz (browser, 12hour o 24hour)." + }, + "date_style": { + "label": "Estilo de fecha", + "description": "Estilo de fecha que se usará en la interfaz (full, long, medium, short)." + }, + "time_style": { + "label": "Estilo de hora", + "description": "Estilo de hora que se usará en la interfaz (full, long, medium, short)." + } + }, + "audio_transcription": { + "description": "Configuración para la transcripción de audio en vivo y de voz, utilizada para eventos y subtítulos en tiempo real.", + "language": { + "description": "Código de idioma utilizado para la transcripción/traducción (por ejemplo, 'es' para Español). Consulte https://whisper-api.com/docs/languages/ para ver los códigos de idioma compatibles.", + "label": "Idioma de transcripción" + }, + "enabled": { + "description": "Habilitar o deshabilitar la transcripción automática de audio para todas las cámaras; puede anularse por cámara.", + "label": "Habilitar transcripción de audio" + }, + "label": "Transcripción de audio", + "live_enabled": { + "label": "Transcripción en directo", + "description": "Activar la transcripción en directo del audio a medida que se recibe." + }, + "device": { + "label": "Dispositivo de transcripción", + "description": "Clave del dispositivo (CPU/GPU) donde ejecutar el modelo de transcripción. Actualmente, solo se admiten GPU NVIDIA CUDA para la transcripción." + }, + "model_size": { + "label": "Tamaño del modelo", + "description": "Tamaño del modelo que se usará para la transcripción sin conexión de eventos de audio." + } + }, + "motion": { + "skip_motion_threshold": { + "description": "Si se establece en un valor entre 0,0 y 1,0, y más de esta fracción de la imagen cambia en un solo fotograma, el detector no devolverá cuadros de movimiento y se recalibrará inmediatamente. Esto puede ahorrar recursos de CPU y reducir los falsos positivos durante tormentas eléctricas, tempestades, etc., aunque podría pasar por alto eventos reales, como el seguimiento automático de un objeto por parte de una cámara PTZ. La disyuntiva está entre descartar unos cuantos megabytes de grabaciones o revisar un par de clips cortos. Deje este parámetro sin establecer (None) para desactivar esta función.", + "label": "Omitir umbral de movimiento" + }, + "lightning_threshold": { + "description": "Umbral para detectar e ignorar breves picos de luz (un valor menor indica mayor sensibilidad; valores entre 0,3 y 1,0). Esto no impide por completo la detección de movimiento; Simplemente provoca que el detector deje de analizar fotogramas adicionales una vez que se supera el umbral. Durante estos eventos aún se realizan grabaciones basadas en el movimiento.", + "label": "Umbral de iluminación" + }, + "threshold": { + "description": "Umbral de diferencia de píxeles utilizado por el detector de movimiento; los valores más altos reducen la sensibilidad (rango 1-255).", + "label": "Umbral de movimiento" + }, + "enabled": { + "description": "Habilitar o deshabilitar la detección de movimiento para todas las cámaras; puede anularse para cada cámara individualmente.", + "label": "Habilitar detección de movimiento" + }, + "label": "Detección de movimiento", + "improve_contrast": { + "label": "Mejorar contraste", + "description": "Aplica una mejora de contraste a los fotogramas antes del análisis de movimiento para ayudar a la detección." + }, + "contour_area": { + "label": "Área de contorno", + "description": "Área mínima de contorno en píxeles necesaria para que se cuente un contorno de movimiento." + }, + "delta_alpha": { + "label": "Delta alfa", + "description": "Factor de mezcla alfa usado en la diferencia entre fotogramas para calcular el movimiento." + }, + "frame_alpha": { + "label": "Alfa del fotograma", + "description": "Valor alfa usado al mezclar fotogramas para el preprocesamiento de movimiento." + }, + "frame_height": { + "label": "Altura del fotograma", + "description": "Altura en píxeles a la que escalar los fotogramas al calcular el movimiento." + }, + "mask": { + "label": "Coordenadas de máscara", + "description": "Coordenadas x,y ordenadas que definen el polígono de máscara de movimiento usado para incluir/excluir áreas." + }, + "mqtt_off_delay": { + "label": "Retraso de apagado MQTT", + "description": "Segundos a esperar tras el último movimiento antes de publicar un estado MQTT 'off'." + }, + "enabled_in_config": { + "label": "Estado de movimiento original", + "description": "Indica si la detección de movimiento estaba habilitada en la configuración estática original." + }, + "raw_mask": { + "label": "Máscara sin procesar" + }, + "description": "Ajustes predeterminados de detección de movimiento aplicados a las cámaras salvo que se sobrescriban por cámara." + }, + "lpr": { + "enhancement": { + "description": "Nivel de mejora (0-10) que se aplicará a los recortes de matrículas antes del OCR; los valores más altos no siempre mejoran los resultados, y los niveles superiores a 5 podrían funcionar únicamente con matrículas capturadas de noche, por lo que deben utilizarse con precaución.", + "label": "Nivel de mejora" + }, + "expire_time": { + "description": "Tiempo en segundos tras el cual una matrícula no detectada caduca en el sistema de seguimiento (solo para cámaras LPR dedicadas).", + "label": "Segundos hasta caducar" + }, + "enabled": { + "description": "Habilitar o deshabilitar el reconocimiento de matrículas para todas las cámaras; puede anularse por cámara.", + "label": "Habilitar LPR" + }, + "min_plate_length": { + "description": "Número mínimo de caracteres que debe contener una matrícula reconocida para ser considerada válida.", + "label": "Longitud mínima de matrícula" + }, + "label": "Reconocimiento de matrículas", + "description": "Ajustes de reconocimiento de matrículas, incluidos umbrales de detección, formato y matrículas conocidas.", + "min_area": { + "label": "Área mínima de matrícula", + "description": "Área mínima de matrícula (píxeles) necesaria para intentar el reconocimiento." + }, + "model_size": { + "label": "Tamaño del modelo", + "description": "Tamaño del modelo usado para detección/reconocimiento de texto. La mayoría de usuarios debería usar 'small'." + }, + "detection_threshold": { + "label": "Umbral de detección", + "description": "Umbral de confianza de detección para empezar a ejecutar OCR en una matrícula sospechosa." + }, + "recognition_threshold": { + "label": "Umbral de reconocimiento", + "description": "Umbral de confianza necesario para adjuntar el texto de matrícula reconocido como subetiqueta." + }, + "format": { + "label": "Regex de formato de matrícula", + "description": "Regex opcional para validar cadenas de matrícula reconocidas frente a un formato esperado." + }, + "match_distance": { + "label": "Distancia de coincidencia", + "description": "Número de diferencias de caracteres permitidas al comparar matrículas detectadas con matrículas conocidas." + }, + "known_plates": { + "label": "Matrículas conocidas", + "description": "Lista de matrículas o regexes que se rastrearán especialmente o sobre las que se alertará." + }, + "debug_save_plates": { + "label": "Guardar matrículas de depuración", + "description": "Guarda imágenes recortadas de matrículas para depurar el rendimiento de LPR." + }, + "device": { + "label": "Dispositivo", + "description": "Esto es una sobrescritura para apuntar a un dispositivo concreto. Consulta https://onnxruntime.ai/docs/execution-providers/ para obtener más información" + }, + "replace_rules": { + "label": "Reglas de sustitución", + "description": "Reglas de sustitución regex usadas para normalizar cadenas de matrícula detectadas antes de compararlas.", + "pattern": { + "label": "Patrón regex" + }, + "replacement": { + "label": "Cadena de sustitución" + } + } + }, + "detect": { + "fps": { + "description": "Fotogramas por segundo deseados para ejecutar la detección; los valores más bajos reducen el uso de la CPU (el valor recomendado es 5; establezca un valor superior —como máximo de 10— únicamente si realiza el seguimiento de objetos que se mueven con extrema rapidez).", + "label": "FPS de detección" + }, + "min_initialized": { + "description": "Número de detecciones consecutivas requeridas antes de crear un objeto rastreado. Auméntelo para reducir las inicializaciones falsas. El valor predeterminado es los FPS divididos por 2.", + "label": "Fotogramas mínimos de inicialización" + }, + "height": { + "description": "Altura (en píxeles) de los fotogramas utilizados para la transmisión de detección; déjelo vacío para utilizar la resolución nativa de la transmisión.", + "label": "Altura de detección" + }, + "width": { + "description": "Ancho (en píxeles) de los fotogramas utilizados para la transmisión de detección; déjelo vacío para utilizar la resolución nativa de la transmisión.", + "label": "Anchura de detección" + }, + "stationary": { + "description": "Configuración para detectar y gestionar objetos que permanecen inmóviles durante un periodo de tiempo.", + "label": "Configuración de objetos estacionarios", + "interval": { + "label": "Intervalo estacionario", + "description": "Frecuencia (en fotogramas) con la que se ejecuta una comprobación de detección para confirmar un objeto estacionario." + }, + "threshold": { + "label": "Umbral estacionario", + "description": "Número de fotogramas sin cambio de posición necesarios para marcar un objeto como estacionario." + }, + "max_frames": { + "label": "Fotogramas máximos", + "description": "Limita durante cuánto tiempo se rastrean los objetos estacionarios antes de descartarlos.", + "default": { + "label": "Fotogramas máximos predeterminados", + "description": "Número máximo predeterminado de fotogramas para rastrear un objeto estacionario antes de detenerse." + }, + "objects": { + "label": "Fotogramas máximos por objeto", + "description": "Sobrescrituras por objeto para el número máximo de fotogramas en los que rastrear objetos estacionarios." + } + }, + "classifier": { + "label": "Habilitar clasificador visual", + "description": "Usa un clasificador visual para detectar objetos realmente estacionarios incluso cuando los cuadros delimitadores oscilan." + } + }, + "enabled": { + "description": "Habilitar o deshabilitar la detección de objetos para todas las cámaras; puede anularse para cada cámara individualmente.", + "label": "Habilitar detección de objetos" + }, + "label": "Detección de objetos", + "description": "Ajustes del rol de detección/detect usado para ejecutar la detección de objetos e inicializar los rastreadores.", + "max_disappeared": { + "label": "Fotogramas máximos desaparecido", + "description": "Número de fotogramas sin detección antes de que un objeto rastreado se considere desaparecido." + }, + "annotation_offset": { + "label": "Desplazamiento de anotaciones", + "description": "Milisegundos para desplazar las anotaciones de detección y alinear mejor los cuadros delimitadores de la línea de tiempo con las grabaciones; puede ser positivo o negativo." + } + }, + "record": { + "motion": { + "description": "Número de días para conservar las grabaciones activadas por movimiento, independientemente de los objetos rastreados. Establézcalo en 0 si solo desea conservar las grabaciones de alertas y detecciones.", + "label": "Retención de movimiento", + "days": { + "label": "Días de retención", + "description": "Días durante los que conservar las grabaciones." + } + }, + "continuous": { + "description": "Número de días para conservar las grabaciones, independientemente de los objetos rastreados o del movimiento. Establézcalo en 0 si solo desea conservar las grabaciones de alertas y detecciones.", + "label": "Retención continua", + "days": { + "label": "Días de retención", + "description": "Días durante los que conservar las grabaciones." + } + }, + "detections": { + "pre_capture": { + "description": "Número de segundos antes del evento de detección que se incluirán en la grabación.", + "label": "Segundos de captura previa" + }, + "post_capture": { + "description": "Número de segundos después del evento de detección que se incluirán en la grabación.", + "label": "Segundos de captura posterior" + }, + "label": "Retención de detección", + "description": "Ajustes de retención de grabaciones para eventos de detección, incluidas las duraciones de captura previa/posterior.", + "retain": { + "label": "Retención de eventos", + "description": "Ajustes de retención para grabaciones de eventos de detección.", + "days": { + "label": "Días de retención", + "description": "Número de días durante los que conservar grabaciones de eventos de detección." + }, + "mode": { + "label": "Modo de retención", + "description": "Modo de retención: all (guarda todos los segmentos), motion (guarda segmentos con movimiento) o active_objects (guarda segmentos con objetos activos)." + } + } + }, + "alerts": { + "pre_capture": { + "description": "Número de segundos antes del evento de detección que se incluirán en la grabación.", + "label": "Segundos de captura previa" + }, + "post_capture": { + "description": "Número de segundos después del evento de detección que se incluirán en la grabación.", + "label": "Segundos de captura posterior" + }, + "label": "Retención de alertas", + "description": "Ajustes de retención de grabaciones para eventos de alerta, incluidas las duraciones de captura previa/posterior.", + "retain": { + "label": "Retención de eventos", + "description": "Ajustes de retención para grabaciones de eventos de detección.", + "days": { + "label": "Días de retención", + "description": "Número de días durante los que conservar grabaciones de eventos de detección." + }, + "mode": { + "label": "Modo de retención", + "description": "Modo de retención: all (guarda todos los segmentos), motion (guarda segmentos con movimiento) o active_objects (guarda segmentos con objetos activos)." + } + } + }, + "label": "Grabación", + "enabled": { + "label": "Habilitar grabación", + "description": "Habilita o deshabilita la grabación para todas las cámaras; se puede sobrescribir por cámara." + }, + "expire_interval": { + "label": "Intervalo de limpieza de grabaciones", + "description": "Minutos entre pasadas de limpieza que eliminan segmentos de grabación caducados." + }, + "export": { + "label": "Configuración de exportación", + "description": "Ajustes usados al exportar grabaciones, como timelapse y aceleración por hardware.", + "hwaccel_args": { + "label": "Argumentos hwaccel de exportación", + "description": "Argumentos de aceleración por hardware que se usarán en operaciones de exportación/transcodificación." + }, + "max_concurrent": { + "label": "Exportaciones simultáneas máximas", + "description": "Número máximo de trabajos de exportación que se procesarán al mismo tiempo." + } + }, + "preview": { + "label": "Configuración de vista previa", + "description": "Ajustes que controlan la calidad de las vistas previas de grabaciones mostradas en la interfaz.", + "quality": { + "label": "Calidad de vista previa", + "description": "Nivel de calidad de vista previa (very_low, low, medium, high, very_high)." + } + }, + "enabled_in_config": { + "label": "Estado de grabación original", + "description": "Indica si la grabación estaba habilitada en la configuración estática original." + }, + "description": "Ajustes de grabación y retención aplicados a las cámaras salvo que se sobrescriban por cámara." + }, + "camera_ui": { + "dashboard": { + "description": "Alterna si esta cámara es visible en toda la interfaz de usuario de Frigate. Desactivar esta opción requerirá editar manualmente la configuración para volver a visualizar esta cámara en la interfaz.", + "label": "Mostrar en la interfaz" + }, + "label": "Interfaz de cámara", + "description": "Orden de visualización y visibilidad de esta cámara en la interfaz. El orden afecta al panel predeterminado. Para un control más granular, usa grupos de cámaras.", + "order": { + "label": "Orden en la interfaz", + "description": "Orden numérico usado para ordenar la cámara en la interfaz (panel predeterminado y listas); los números más altos aparecen más tarde." + } + }, + "live": { + "description": "Configuración para controlar la resolución y la calidad de la transmisión en vivo de jsmpeg. Esto no afecta a las cámaras retransmitidas que utilizan go2rtc para la visualización en vivo.", + "height": { + "description": "Altura (en píxeles) para renderizar la transmisión en vivo de jsmpeg en la interfaz web; debe ser <= a la altura de la transmisión de detección.", + "label": "Altura en directo" + }, + "label": "Reproducción en directo", + "streams": { + "label": "Nombres de flujos en directo", + "description": "Asignación de nombres de flujos configurados a nombres de restream/go2rtc usados para la reproducción en directo." + }, + "quality": { + "label": "Calidad en directo", + "description": "Calidad de codificación para el flujo jsmpeg (1 la más alta, 31 la más baja)." + } + }, + "semantic_search": { + "model": { + "description": "El modelo de embeddings a utilizar para la búsqueda semántica (por ejemplo, 'jinav1'), o el nombre de un proveedor de GenAI con el rol de embeddings.", + "label": "Modelo de búsqueda semántica o nombre del proveedor GenAI" + }, + "label": "Búsqueda semántica", + "triggers": { + "label": "Activadores", + "description": "Acciones y criterios de coincidencia para activadores de búsqueda semántica específicos de la cámara.", + "friendly_name": { + "label": "Nombre descriptivo", + "description": "Nombre descriptivo opcional mostrado en la interfaz para este activador." + }, + "enabled": { + "label": "Habilitar este activador", + "description": "Habilita o deshabilita este activador de búsqueda semántica." + }, + "type": { + "label": "Tipo de activador", + "description": "Tipo de activador: 'thumbnail' (coincidir con imagen) o 'description' (coincidir con texto)." + }, + "data": { + "label": "Contenido del activador", + "description": "Frase de texto o ID de miniatura que se comparará con objetos rastreados." + }, + "threshold": { + "label": "Umbral del activador", + "description": "Puntuación mínima de similitud (0-1) necesaria para activar este activador." + }, + "actions": { + "label": "Acciones del activador", + "description": "Lista de acciones que se ejecutarán cuando el activador coincida (notification, sub_label, attribute)." + } + }, + "description": "Ajustes de la búsqueda semántica, que crea y consulta embeddings de objetos para encontrar elementos similares.", + "enabled": { + "label": "Habilitar búsqueda semántica", + "description": "Habilita o deshabilita la función de búsqueda semántica." + }, + "reindex": { + "label": "Reindexar al iniciar", + "description": "Activa una reindexación completa de los objetos rastreados históricos en la base de datos de embeddings." + }, + "model_size": { + "label": "Tamaño del modelo", + "description": "Selecciona el tamaño del modelo; 'small' se ejecuta en CPU y 'large' normalmente requiere GPU." + }, + "device": { + "label": "Dispositivo", + "description": "Esto es una sobrescritura para apuntar a un dispositivo concreto. Consulta https://onnxruntime.ai/docs/execution-providers/ para obtener más información" + } + }, + "review": { + "alerts": { + "required_zones": { + "description": "Zonas en las que debe entrar un objeto para ser considerado una alerta; dejar vacío para permitir cualquier zona.", + "label": "Zonas requeridas" + }, + "labels": { + "description": "Lista de etiquetas de objetos que califican como alertas (por ejemplo: car, person).", + "label": "Etiquetas de alerta" + }, + "label": "Configuración de alertas", + "description": "Ajustes sobre qué objetos rastreados generan alertas y cómo se conservan las alertas.", + "enabled": { + "label": "Habilitar alertas", + "description": "Habilita o deshabilita la generación de alertas para todas las cámaras; se puede sobrescribir por cámara." + }, + "enabled_in_config": { + "label": "Estado original de alertas", + "description": "Rastrea si las alertas estaban habilitadas originalmente en la configuración estática." + }, + "cutoff_time": { + "label": "Tiempo de corte de alertas", + "description": "Segundos que se esperarán tras dejar de haber actividad causante de alerta antes de cortar una alerta." + } + }, + "detections": { + "required_zones": { + "description": "Zonas en las que debe entrar un objeto para ser considerado detectado; dejar vacío para permitir cualquier zona.", + "label": "Zonas requeridas" + }, + "description": "Configuración para determinar qué objetos rastreados generan detecciones (no alertas) y cómo se retienen dichas detecciones.", + "label": "Configuración de detecciones", + "enabled": { + "label": "Habilitar detecciones", + "description": "Habilita o deshabilita los eventos de detección para todas las cámaras; se puede sobrescribir por cámara." + }, + "labels": { + "label": "Etiquetas de detección", + "description": "Lista de etiquetas de objetos que cuentan como eventos de detección." + }, + "cutoff_time": { + "label": "Tiempo de corte de detecciones", + "description": "Segundos que se esperarán tras dejar de haber actividad causante de detección antes de cortar una detección." + }, + "enabled_in_config": { + "label": "Estado original de detecciones", + "description": "Rastrea si las detecciones estaban habilitadas originalmente en la configuración estática." + } + }, + "genai": { + "image_source": { + "description": "Fuente de las imágenes enviadas a GenAI ('preview' o 'recordings'); La opción 'recordings' utiliza fotogramas de mayor calidad, pero requiere más tokens.", + "label": "Origen de imagen de revisión" + }, + "additional_concerns": { + "description": "Una lista de preocupaciones o notas adicionales que GenAI debería tener en cuenta al evaluar la actividad en esta cámara.", + "label": "Consideraciones adicionales" + }, + "activity_context_prompt": { + "description": "Instrucción personalizada que describe qué constituye y qué no una actividad sospechosa, con el fin de proporcionar contexto para los resúmenes generados por GenAI.", + "label": "Prompt de contexto de actividad" + }, + "description": "Controla el uso de IA generativa (GenAI) para la elaboración de descripciones y resúmenes de elementos de revisión.", + "debug_save_thumbnails": { + "description": "Guarde las miniaturas que se envían al proveedor de GenAI para su depuración y revisión.", + "label": "Guardar miniaturas" + }, + "label": "Configuración de GenAI", + "enabled": { + "label": "Habilitar descripciones de GenAI", + "description": "Habilita o deshabilita las descripciones y resúmenes generados por GenAI para los elementos de revisión." + }, + "alerts": { + "label": "Habilitar GenAI para alertas", + "description": "Usa GenAI para generar descripciones de elementos de alerta." + }, + "detections": { + "label": "Habilitar GenAI para detecciones", + "description": "Usa GenAI para generar descripciones de elementos de detección." + }, + "enabled_in_config": { + "label": "Estado original de GenAI", + "description": "Rastrea si la revisión de GenAI estaba habilitada originalmente en la configuración estática." + }, + "preferred_language": { + "label": "Idioma preferido", + "description": "Idioma preferido que se solicitará al proveedor de GenAI para las respuestas generadas." + } + }, + "label": "Revisión", + "description": "Ajustes que controlan alertas, detecciones y resúmenes de revisión de GenAI usados por la interfaz y el almacenamiento." + }, + "birdseye": { + "description": "Configuración para la vista compuesta Birdseye, que combina las transmisiones de múltiples cámaras en una sola vista.", + "restream": { + "description": "Retransmita la salida de video de Birdseye como una transmisión en vivo RTSP; al habilitar esta opción, Birdseye se mantendrá en ejecución de forma continua.", + "label": "Retransmisión RTSP" + }, + "layout": { + "max_cameras": { + "description": "Número máximo de cámaras a mostrar simultáneamente en Birdseye; muestra las cámaras más recientes.", + "label": "Cámaras máximas" + }, + "label": "Diseño", + "description": "Opciones de diseño para la composición de Birdseye.", + "scaling_factor": { + "label": "Factor de escala", + "description": "Factor de escala usado por el calculador de diseño (rango de 1.0 a 5.0)." + } + }, + "label": "Vista general", + "enabled": { + "label": "Habilitar Birdseye", + "description": "Habilita o deshabilita la función de vista Birdseye." + }, + "mode": { + "label": "Modo de seguimiento", + "description": "Modo para incluir cámaras en Birdseye: 'objects', 'motion' o 'continuous'." + }, + "order": { + "label": "Posición", + "description": "Posición numérica que controla el orden de la cámara en el diseño de Birdseye." + }, + "width": { + "label": "Anchura", + "description": "Anchura de salida (píxeles) del fotograma compuesto de Birdseye." + }, + "height": { + "label": "Altura", + "description": "Altura de salida (píxeles) del fotograma compuesto de Birdseye." + }, + "quality": { + "label": "Calidad de codificación", + "description": "Calidad de codificación para el flujo mpeg1 de Birdseye (1 la calidad más alta, 31 la más baja)." + }, + "inactivity_threshold": { + "label": "Umbral de inactividad", + "description": "Segundos de inactividad tras los cuales una cámara dejará de mostrarse en Birdseye." + }, + "idle_heartbeat_fps": { + "label": "FPS de latido en reposo", + "description": "Fotogramas por segundo para reenviar el último fotograma compuesto de Birdseye en reposo; establécelo en 0 para deshabilitarlo." + } + }, + "ffmpeg": { + "retry_interval": { + "description": "Segundos de espera antes de intentar reconectar la transmisión de una cámara tras un fallo. El valor predeterminado es 10.", + "label": "Tiempo de reintento de FFmpeg" + }, + "path": { + "description": "Ruta al binario de FFmpeg que se va a utilizar o un alias de versión (\"5.0\" o \"7.0\").", + "label": "Ruta de FFmpeg" + }, + "output_args": { + "description": "Argumentos de salida predeterminados utilizados para diferentes roles de FFmpeg, tales como detección y grabación.", + "label": "Argumentos de salida", + "detect": { + "label": "Argumentos de salida de detección", + "description": "Argumentos de salida predeterminados para los flujos con rol de detección." + }, + "record": { + "label": "Argumentos de salida de grabación", + "description": "Argumentos de salida predeterminados para los flujos con rol de grabación." + } + }, + "description": "Configuración de FFmpeg, incluyendo la ruta del binario, argumentos, opciones de aceleración por hardware y argumentos de salida por rol.", + "label": "FFmpeg", + "global_args": { + "label": "Argumentos globales de FFmpeg", + "description": "Argumentos globales pasados a los procesos de FFmpeg." + }, + "hwaccel_args": { + "label": "Argumentos de aceleración por hardware", + "description": "Argumentos de aceleración por hardware para FFmpeg. Se recomiendan preajustes específicos del proveedor." + }, + "input_args": { + "label": "Argumentos de entrada", + "description": "Argumentos de entrada aplicados a los flujos de entrada de FFmpeg." + }, + "apple_compatibility": { + "label": "Compatibilidad con Apple", + "description": "Habilita el etiquetado HEVC para mejorar la compatibilidad con reproductores de Apple al grabar H.265." + }, + "gpu": { + "label": "Índice de GPU", + "description": "Índice de GPU predeterminado usado para la aceleración por hardware si está disponible." + }, + "inputs": { + "label": "Entradas de cámara", + "description": "Lista de definiciones de flujos de entrada (rutas y roles) para esta cámara.", + "path": { + "label": "Ruta de entrada", + "description": "URL o ruta del flujo de entrada de la cámara." + }, + "roles": { + "label": "Roles de entrada", + "description": "Roles para este flujo de entrada." + }, + "global_args": { + "label": "Argumentos globales de FFmpeg", + "description": "Argumentos globales de FFmpeg para este flujo de entrada." + }, + "hwaccel_args": { + "label": "Argumentos de aceleración por hardware", + "description": "Argumentos de aceleración por hardware para este flujo de entrada." + }, + "input_args": { + "label": "Argumentos de entrada", + "description": "Argumentos de entrada específicos para este flujo." } } + }, + "go2rtc": { + "description": "Configuración del servicio integrado de retransmisión go2rtc, utilizado para el relevo y la traducción de transmisiones en vivo.", + "label": "go2rtc" + }, + "genai": { + "description": "Configuración para los proveedores integrados de IA generativa (GenAI) utilizados para generar descripciones de objetos y resúmenes de reseñas.", + "api_key": { + "description": "Clave de API requerida por algunos proveedores (también puede configurarse mediante variables de entorno).", + "label": "Clave API" + }, + "base_url": { + "description": "URL base para proveedores autoalojados o compatibles (por ejemplo, una instancia de Ollama).", + "label": "URL base" + }, + "model": { + "description": "El modelo del proveedor que se utilizará para generar descripciones o resúmenes.", + "label": "Modelo" + }, + "label": "Configuración de IA generativa", + "provider": { + "label": "Proveedor", + "description": "Proveedor de GenAI que se usará (por ejemplo: ollama, gemini, openai)." + }, + "roles": { + "label": "Roles", + "description": "Roles de GenAI (chat, descriptions, embeddings); un proveedor por rol." + }, + "provider_options": { + "label": "Opciones del proveedor", + "description": "Opciones adicionales específicas del proveedor que se pasarán al cliente GenAI." + }, + "runtime_options": { + "label": "Opciones de ejecución", + "description": "Opciones de ejecución pasadas al proveedor para cada llamada de inferencia." + } + }, + "face_recognition": { + "description": "Configuración para la detección y el reconocimiento facial en todas las cámaras; puede anularse por cámara.", + "label": "Reconocimiento facial", + "enabled": { + "label": "Habilitar reconocimiento facial", + "description": "Habilita o deshabilita el reconocimiento facial para todas las cámaras; se puede sobrescribir por cámara." + }, + "min_area": { + "label": "Área mínima de rostro", + "description": "Área mínima (píxeles) del cuadro de un rostro detectado necesaria para intentar el reconocimiento." + }, + "model_size": { + "label": "Tamaño del modelo", + "description": "Tamaño del modelo que se usará para embeddings faciales (small/large); el más grande puede requerir GPU." + }, + "unknown_score": { + "label": "Umbral de puntuación desconocida", + "description": "Umbral de distancia por debajo del cual un rostro se considera una posible coincidencia (más alto = más estricto)." + }, + "detection_threshold": { + "label": "Umbral de detección", + "description": "Confianza mínima de detección necesaria para considerar válida una detección de rostro." + }, + "recognition_threshold": { + "label": "Umbral de reconocimiento", + "description": "Umbral de distancia de embedding facial para considerar que dos rostros coinciden." + }, + "min_faces": { + "label": "Rostros mínimos", + "description": "Número mínimo de reconocimientos faciales necesarios antes de aplicar una subetiqueta reconocida a una persona." + }, + "save_attempts": { + "label": "Guardar intentos", + "description": "Número de intentos de reconocimiento facial que se conservarán para la interfaz de reconocimientos recientes." + }, + "blur_confidence_filter": { + "label": "Filtro de confianza por desenfoque", + "description": "Ajusta las puntuaciones de confianza según el desenfoque de la imagen para reducir falsos positivos en rostros de baja calidad." + }, + "device": { + "label": "Dispositivo", + "description": "Esto es una sobrescritura para apuntar a un dispositivo concreto. Consulta https://onnxruntime.ai/docs/execution-providers/ para obtener más información" + } + }, + "camera_mqtt": { + "required_zones": { + "description": "Zonas en las que debe entrar un objeto para que se publique una imagen MQTT.", + "label": "Zonas requeridas" + }, + "label": "MQTT", + "description": "Ajustes de publicación de imágenes MQTT.", + "enabled": { + "label": "Enviar imagen", + "description": "Habilita la publicación de instantáneas de objetos en temas MQTT para esta cámara." + }, + "timestamp": { + "label": "Añadir marca de tiempo", + "description": "Superpone una marca de tiempo en las imágenes publicadas en MQTT." + }, + "bounding_box": { + "label": "Añadir cuadro delimitador", + "description": "Dibuja cuadros delimitadores en las imágenes publicadas mediante MQTT." + }, + "crop": { + "label": "Recortar imagen", + "description": "Recorta las imágenes publicadas en MQTT al cuadro delimitador del objeto detectado." + }, + "height": { + "label": "Altura de imagen", + "description": "Altura (píxeles) a la que redimensionar las imágenes publicadas mediante MQTT." + }, + "quality": { + "label": "Calidad JPEG", + "description": "Calidad JPEG de las imágenes publicadas en MQTT (0-100)." + } + }, + "snapshots": { + "label": "Instantáneas", + "enabled": { + "label": "Habilitar instantáneas", + "description": "Habilita o deshabilita el guardado de instantáneas para todas las cámaras; se puede sobrescribir por cámara." + }, + "timestamp": { + "label": "Superposición de marca de tiempo", + "description": "Superpone una marca de tiempo en las instantáneas de la API." + }, + "bounding_box": { + "label": "Superposición de cuadro delimitador", + "description": "Dibuja cuadros delimitadores para los objetos rastreados en las instantáneas de la API." + }, + "crop": { + "label": "Recortar instantánea", + "description": "Recorta las instantáneas de la API al cuadro delimitador del objeto detectado." + }, + "required_zones": { + "label": "Zonas requeridas", + "description": "Zonas en las que debe entrar un objeto para que se guarde una instantánea." + }, + "height": { + "label": "Altura de instantánea", + "description": "Altura (píxeles) a la que redimensionar las instantáneas de la API; déjalo vacío para conservar el tamaño original." + }, + "retain": { + "label": "Retención de instantáneas", + "description": "Ajustes de retención de instantáneas, incluidos días predeterminados y sobrescrituras por objeto.", + "default": { + "label": "Retención predeterminada", + "description": "Número predeterminado de días durante los que conservar instantáneas." + }, + "mode": { + "label": "Modo de retención", + "description": "Modo de retención: all (guarda todos los segmentos), motion (guarda segmentos con movimiento) o active_objects (guarda segmentos con objetos activos)." + }, + "objects": { + "label": "Retención por objeto", + "description": "Sobrescrituras por objeto para los días de retención de instantáneas." + } + }, + "quality": { + "label": "Calidad de instantánea", + "description": "Calidad de codificación de las instantáneas guardadas (0-100)." + }, + "description": "Ajustes para instantáneas generadas por la API de objetos rastreados en todas las cámaras; se pueden sobrescribir por cámara." + }, + "timestamp_style": { + "label": "Estilo de marca de tiempo", + "position": { + "label": "Posición de marca de tiempo", + "description": "Posición de la marca de tiempo en la imagen (tl/tr/bl/br)." + }, + "format": { + "label": "Formato de marca de tiempo", + "description": "Cadena de formato de fecha y hora usada para las marcas de tiempo (códigos de formato datetime de Python)." + }, + "color": { + "label": "Color de marca de tiempo", + "description": "Valores de color RGB para el texto de la marca de tiempo (todos los valores 0-255).", + "red": { + "label": "Rojo", + "description": "Componente rojo (0-255) para el color de la marca de tiempo." + }, + "green": { + "label": "Verde", + "description": "Componente verde (0-255) para el color de la marca de tiempo." + }, + "blue": { + "label": "Azul", + "description": "Componente azul (0-255) para el color de la marca de tiempo." + } + }, + "thickness": { + "label": "Grosor de marca de tiempo", + "description": "Grosor de línea del texto de la marca de tiempo." + }, + "effect": { + "label": "Efecto de marca de tiempo", + "description": "Efecto visual para el texto de la marca de tiempo (none, solid, shadow)." + }, + "description": "Opciones de estilo para marcas de tiempo integradas aplicadas a la vista de depuración y a las instantáneas." + }, + "profiles": { + "label": "Perfiles", + "description": "Definiciones de perfiles con nombre y nombres descriptivos. Los perfiles de cámara deben hacer referencia a nombres definidos aquí.", + "friendly_name": { + "label": "Nombre descriptivo", + "description": "Nombre mostrado para este perfil en la interfaz." + } + }, + "tls": { + "label": "TLS", + "description": "Ajustes TLS para los endpoints web de Frigate (puerto 8971).", + "enabled": { + "label": "Habilitar TLS", + "description": "Habilita TLS para la interfaz web y la API de Frigate en el puerto TLS configurado." + } + }, + "model": { + "label": "Modelo de detección", + "description": "Ajustes para configurar un modelo de detección de objetos personalizado y su forma de entrada.", + "path": { + "label": "Ruta del modelo de detector de objetos personalizado", + "description": "Ruta a un archivo de modelo de detección personalizado (o plus:// para modelos de Frigate+)." + }, + "labelmap_path": { + "label": "Mapa de etiquetas para detector de objetos personalizado", + "description": "Ruta a un archivo labelmap que asigna clases numéricas a etiquetas de texto para el detector." + }, + "width": { + "label": "Anchura de entrada del modelo de detección de objetos", + "description": "Anchura del tensor de entrada del modelo en píxeles." + }, + "height": { + "label": "Altura de entrada del modelo de detección de objetos", + "description": "Altura del tensor de entrada del modelo en píxeles." + }, + "labelmap": { + "label": "Personalización del mapa de etiquetas", + "description": "Sobrescrituras o entradas de reasignación que se fusionarán con el mapa de etiquetas estándar." + }, + "attributes_map": { + "label": "Mapa de etiquetas de objetos a sus etiquetas de atributos", + "description": "Asignación de etiquetas de objetos a etiquetas de atributos usada para adjuntar metadatos (por ejemplo, 'car' -> ['license_plate'])." + }, + "input_tensor": { + "label": "Forma del tensor de entrada del modelo", + "description": "Formato de tensor esperado por el modelo: 'nhwc' o 'nchw'." + }, + "input_pixel_format": { + "label": "Formato de color de píxeles de entrada del modelo", + "description": "Espacio de color de píxeles esperado por el modelo: 'rgb', 'bgr' o 'yuv'." + }, + "input_dtype": { + "label": "Tipo D de entrada del modelo", + "description": "Tipo de datos del tensor de entrada del modelo (por ejemplo, 'float32')." + }, + "model_type": { + "label": "Tipo de modelo de detección de objetos", + "description": "Tipo de arquitectura del modelo detector (ssd, yolox, yolonas) usado por algunos detectores para optimización." + } + }, + "classification": { + "label": "Clasificación de objetos", + "description": "Ajustes de los modelos de clasificación usados para refinar etiquetas de objetos o clasificación de estado.", + "bird": { + "label": "Configuración de clasificación de aves", + "description": "Ajustes específicos de los modelos de clasificación de aves.", + "enabled": { + "label": "Clasificación de aves", + "description": "Habilita o deshabilita la clasificación de aves." + }, + "threshold": { + "label": "Puntuación mínima", + "description": "Puntuación mínima de clasificación necesaria para aceptar una clasificación de ave." + } + }, + "custom": { + "label": "Modelos de clasificación personalizados", + "description": "Configuración de modelos de clasificación personalizados usados para objetos o detección de estado.", + "enabled": { + "label": "Habilitar modelo", + "description": "Habilita o deshabilita el modelo de clasificación personalizado." + }, + "name": { + "label": "Nombre del modelo", + "description": "Identificador del modelo de clasificación personalizado que se usará." + }, + "threshold": { + "label": "Umbral de puntuación", + "description": "Umbral de puntuación usado para cambiar el estado de clasificación." + }, + "save_attempts": { + "label": "Guardar intentos", + "description": "Cuántos intentos de clasificación se guardarán para la interfaz de clasificaciones recientes." + }, + "object_config": { + "objects": { + "label": "Clasificar objetos", + "description": "Lista de tipos de objetos sobre los que ejecutar la clasificación de objetos." + }, + "classification_type": { + "label": "Tipo de clasificación", + "description": "Tipo de clasificación aplicado: 'sub_label' (añade sub_label) u otros tipos compatibles." + } + }, + "state_config": { + "cameras": { + "label": "Cámaras de clasificación", + "description": "Recorte y ajustes por cámara para ejecutar la clasificación de estado.", + "crop": { + "label": "Recorte de clasificación", + "description": "Coordenadas de recorte que se usarán para ejecutar la clasificación en esta cámara." + } + }, + "motion": { + "label": "Ejecutar con movimiento", + "description": "Si es true, ejecuta la clasificación cuando se detecte movimiento dentro del recorte especificado." + }, + "interval": { + "label": "Intervalo de clasificación", + "description": "Intervalo (segundos) entre ejecuciones periódicas de clasificación para la clasificación de estado." + } + } + } + }, + "camera_groups": { + "label": "Grupos de cámaras", + "description": "Configuración de grupos de cámaras con nombre usados para organizar cámaras en la interfaz.", + "cameras": { + "label": "Lista de cámaras", + "description": "Array de nombres de cámaras incluidos en este grupo." + }, + "icon": { + "label": "Icono de grupo", + "description": "Icono usado para representar el grupo de cámaras en la interfaz." + }, + "order": { + "label": "Orden de clasificación", + "description": "Orden numérico usado para ordenar grupos de cámaras en la interfaz; los números más altos aparecen más tarde." + } + }, + "active_profile": { + "label": "Perfil activo", + "description": "Nombre del perfil activo actualmente. Solo en tiempo de ejecución, no se conserva en YAML." } } diff --git a/web/public/locales/es/config/groups.json b/web/public/locales/es/config/groups.json index d6b2b9d81e..a8cb25b469 100644 --- a/web/public/locales/es/config/groups.json +++ b/web/public/locales/es/config/groups.json @@ -59,6 +59,15 @@ "global": { "retention": "Retención global", "events": "Eventos globales" + }, + "cameras": { + "events": "Evento", + "retention": "Retención" + } + }, + "ffmpeg": { + "cameras": { + "cameraFfmpeg": "Argumentos de FFmpeg específicos de la cámara" } } } diff --git a/web/public/locales/es/config/validation.json b/web/public/locales/es/config/validation.json index faf7032f87..b78ae972f3 100644 --- a/web/public/locales/es/config/validation.json +++ b/web/public/locales/es/config/validation.json @@ -19,7 +19,8 @@ "ffmpeg": { "inputs": { "rolesUnique": "Cada rol solo puede asignarse a un flujo de entrada.", - "detectRequired": "Al menos un flujo de entrada debe tener asignado el rol 'detect'." + "detectRequired": "Al menos un flujo de entrada debe tener asignado el rol 'detect'.", + "hwaccelDetectOnly": "Solo el flujo de entrada con la función \"detect\" puede definir argumentos de aceleración por hardware." } }, "anyOf": "Debe coincidir con al menos uno de los esquemas permitidos", diff --git a/web/public/locales/es/objects.json b/web/public/locales/es/objects.json index 0fd02208a6..94adda5cb9 100644 --- a/web/public/locales/es/objects.json +++ b/web/public/locales/es/objects.json @@ -47,7 +47,7 @@ "carrot": "Zanahoria", "hot_dog": "Perrito caliente", "pizza": "Pizza", - "donut": "Donut", + "donut": "Rosquilla", "chair": "Silla", "couch": "Sofá", "potted_plant": "Planta en maceta", @@ -116,5 +116,15 @@ "animal": "Animal", "postnord": "PostNord", "usps": "USPS", - "gls": "GLS" + "gls": "GLS", + "canada_post": "Canada Post", + "royal_mail": "Royal Mail", + "school_bus": "Autobús escolar", + "skunk": "Mofeta", + "kangaroo": "Canguro", + "baby": "Bebé", + "baby_stroller": "Cochecito de bebé", + "rickshaw": "Rickshaw", + "Rodent": "Roedor", + "rodent": "Roedor" } diff --git a/web/public/locales/es/views/chat.json b/web/public/locales/es/views/chat.json new file mode 100644 index 0000000000..876ee2707d --- /dev/null +++ b/web/public/locales/es/views/chat.json @@ -0,0 +1,69 @@ +{ + "documentTitle": "Chat - Frigate", + "title": "Frigate Chat", + "subtitle": "Tu asistente de IA para la gestión de cámaras y análisis", + "placeholder": "Pregunta cualquier cosa...", + "error": "Algo salió mal. Por favor, inténtalo de nuevo.", + "processing": "Procesando...", + "toolsUsed": "Usado: {{tools}}", + "showTools": "Mostrar herramientas ({{count}})", + "hideTools": "Ocultar herramientas", + "call": "Llamar", + "result": "Resultado", + "arguments": "Argumentos:", + "response": "Respuesta:", + "attachment_chip_label": "{{label}} en {{camera}}", + "attachment_chip_remove": "Eliminar adjunto", + "open_in_explore": "Abrir en Explorar", + "attach_event_aria": "Adjuntar evento {{eventId}}", + "attachment_picker_paste_label": "O pega el ID del evento", + "attachment_picker_attach": "Adjuntar", + "attachment_picker_placeholder": "Adjuntar un evento", + "quick_reply_find_similar": "Buscar avistamientos similares", + "quick_reply_tell_me_more": "Cuéntame más sobre esto", + "quick_reply_when_else": "¿Cuándo más se vio?", + "quick_reply_find_similar_text": "Buscar avistamientos similares a este.", + "quick_reply_tell_me_more_text": "Cuéntame más sobre este.", + "quick_reply_when_else_text": "¿Cuándo más se vio esto?", + "anchor": "Referencia", + "similarity_score": "Similitud", + "no_similar_objects_found": "No se encontraron objetos similares.", + "semantic_search_required": "La búsqueda semántica debe estar activada para encontrar objetos similares.", + "send": "Enviar", + "suggested_requests": "Prueba preguntando:", + "starting_requests": { + "show_recent_events": "Mostrar eventos recientes", + "show_camera_status": "Mostrar estado de la cámara", + "recap": "¿Qué ha pasado mientras estaba fuera?", + "watch_camera": "Vigilar una cámara en busca de actividad" + }, + "starting_requests_prompts": { + "show_recent_events": "Muéstrame los eventos recientes de la última hora", + "show_camera_status": "¿Cuál es el estado actual de mis cámaras?", + "recap": "¿Qué ha pasado mientras estaba fuera?", + "watch_camera": "Vigila la puerta principal y avísame si aparece alguien" + }, + "new_chat": "Nuevo chat", + "settings": { + "title": "Ajustes del chat", + "show_stats": { + "title": "Mostrar estadísticas", + "desc": "Mostrar la velocidad de generación y el tamaño del contexto en las respuestas del chat.", + "while_generating": "Durante la generación", + "always": "Siempre" + }, + "auto_scroll": { + "title": "Desplazamiento automático", + "desc": "Seguir los mensajes nuevos a medida que llegan." + } + }, + "stats": { + "context": "{{tokens}} tokens", + "tokens_per_second": "{{rate}} t/s" + }, + "reasoning": { + "active": "Razonando…", + "show": "Mostrar razonamiento", + "hide": "Ocultar razonamiento" + } +} diff --git a/web/public/locales/es/views/classificationModel.json b/web/public/locales/es/views/classificationModel.json index ee6fc5ed10..e1d1449e8e 100644 --- a/web/public/locales/es/views/classificationModel.json +++ b/web/public/locales/es/views/classificationModel.json @@ -12,12 +12,12 @@ }, "toast": { "success": { - "deletedCategory_one": "Clase Borrada", - "deletedCategory_many": "", - "deletedCategory_other": "", - "deletedImage_one": "Imágenes Borradas", - "deletedImage_many": "", - "deletedImage_other": "", + "deletedCategory_one": "Se eliminó {{count}} clase", + "deletedCategory_many": "Se eliminaron {{count}} clases", + "deletedCategory_other": "Se eliminaron {{count}} clases", + "deletedImage_one": "Se eliminó {{count}} imagen", + "deletedImage_many": "Se eliminaron {{count}} imágenes", + "deletedImage_other": "Se eliminaron {{count}} imágenes", "deletedModel_one": "Borrado con éxito {{count}} modelo", "deletedModel_many": "Borrados con éxito {{count}} modelos", "deletedModel_other": "Borrados con éxito {{count}} modelos", @@ -68,7 +68,7 @@ "details": { "scoreInfo": "La puntuación representa la confianza media de clasificación en todas las detecciones de este objeto.", "unknown": "Desconocido", - "none": "Ninguna" + "none": "Ninguno" }, "categorizeImage": "Clasificar Imagen", "menu": { @@ -146,7 +146,7 @@ "generateSuccess": "Imágenes de ejemplo generadas correctamente", "missingStatesWarning": { "title": "Faltan Ejemplos de Estado", - "description": "Se recomienda seleccionar ejemplos para todos los estados para obtener mejores resultados. Puede continuar sin seleccionar todos los estados, pero el modelo no se entrenará hasta que todos los estados tengan imágenes. Después de continuar, use la vista \"Clasificaciones recientes\" para clasificar las imágenes de los estados faltantes y luego entrene el modelo." + "description": "No todas las clases tienen ejemplos. Prueba a generar nuevos ejemplos para encontrar la clase que falta, o continúa y usa la vista de Clasificaciones recientes para añadir imágenes más tarde." }, "allImagesRequired_one": "Por favor clasifique todas las imágenes. Queda {{count}} imagen.", "allImagesRequired_many": "Por favor clasifique todas las imágenes. Quedan {{count}} imágenes.", diff --git a/web/public/locales/es/views/events.json b/web/public/locales/es/views/events.json index f2bdab0e99..7c2dd8b362 100644 --- a/web/public/locales/es/views/events.json +++ b/web/public/locales/es/views/events.json @@ -32,7 +32,9 @@ }, "camera": "Cámara", "recordings": { - "documentTitle": "Grabaciones - Frigate" + "documentTitle": "Grabaciones - Frigate", + "invalidSharedLink": "No se puede abrir el enlace de la grabación con marca de tiempo debido a un error de análisis.", + "invalidSharedCamera": "No se puede abrir el enlace de la grabación con marca de tiempo debido a una cámara desconocida o no autorizada." }, "calendarFilter": { "last24Hours": "Últimas 24 horas" @@ -66,5 +68,28 @@ "select_all": "Todas", "normalActivity": "Normal", "needsReview": "Necesita revisión", - "securityConcern": "Aviso de seguridad" + "securityConcern": "Aviso de seguridad", + "motionSearch": { + "menuItem": "Búsqueda de movimiento", + "openMenu": "Opciones de cámara" + }, + "motionPreviews": { + "menuItem": "Ver vistas previas de movimiento", + "title": "Vistas previas de movimiento: {{camera}}", + "mobileSettingsTitle": "Ajustes de vistas previas de movimiento", + "mobileSettingsDesc": "Ajusta la velocidad de reproducción y el atenuado, y elige una fecha para revisar clips solo de movimiento.", + "dim": "Atenuar", + "dimAria": "Ajustar intensidad de atenuado", + "dimDesc": "Aumenta el atenuado para mejorar la visibilidad de las áreas con movimiento.", + "speed": "Velocidad", + "speedAria": "Seleccionar velocidad de reproducción de las vistas previas", + "speedDesc": "Elige la velocidad a la que se reproducen los clips de vista previa.", + "back": "Atrás", + "empty": "No hay vistas previas disponibles", + "noPreview": "Vista previa no disponible", + "seekAria": "Mover el reproductor de {{camera}} a {{time}}", + "filter": "Filtrar", + "filterDesc": "Selecciona áreas para mostrar solo clips con movimiento en esas regiones.", + "filterClear": "Limpiar" + } } diff --git a/web/public/locales/es/views/explore.json b/web/public/locales/es/views/explore.json index ded5ca91fb..f6d61180fd 100644 --- a/web/public/locales/es/views/explore.json +++ b/web/public/locales/es/views/explore.json @@ -226,6 +226,10 @@ }, "more": { "aria": "Más" + }, + "debugReplay": { + "label": "Reproducción de depuración", + "aria": "Ver este objeto rastreado en la reproducción de depuración" } }, "dialog": { @@ -282,7 +286,10 @@ "zones": "Zonas", "area": "Área", "score": "Puntuación", - "ratio": "Ratio(proporción)" + "ratio": "Ratio(proporción)", + "computedScore": "Puntuación calculada", + "topScore": "Puntuación más alta", + "toggleAdvancedScores": "Alternar puntuaciones avanzadas" }, "entered_zone": "{{label}} ha entrado en {{zones}}" }, diff --git a/web/public/locales/es/views/exports.json b/web/public/locales/es/views/exports.json index 1099d45c89..b464f3ab0d 100644 --- a/web/public/locales/es/views/exports.json +++ b/web/public/locales/es/views/exports.json @@ -13,7 +13,9 @@ "toast": { "error": { "renameExportFailed": "No se pudo renombrar la exportación: {{errorMessage}}", - "assignCaseFailed": "Fallo en la actualización de la asignación de caso: {{errorMessage}}" + "assignCaseFailed": "Fallo en la actualización de la asignación de caso: {{errorMessage}}", + "caseSaveFailed": "No se pudo guardar el caso: {{errorMessage}}", + "caseDeleteFailed": "No se pudo eliminar el caso: {{errorMessage}}" } }, "deleteExport.desc": "¿Estás seguro de que quieres eliminar {{exportName}}?", @@ -22,17 +24,105 @@ "downloadVideo": "Descargar video", "editName": "Editar nombre", "deleteExport": "Eliminar exportación", - "assignToCase": "Añadir al caso" + "assignToCase": "Añadir al caso", + "removeFromCase": "Remover del contenedor" }, "headings": { "cases": "Casos", - "uncategorizedExports": "Exportaciones sin categorizar" + "uncategorizedExports": "Exportaciones sin Categorizar" }, "caseDialog": { "title": "Añadir al caso", "newCaseOption": "Crear nuevo caso", "nameLabel": "Nombre del caso", "description": "Elige un caso existente o crea uno nuevo.", - "selectLabel": "Caso" + "selectLabel": "Caso", + "descriptionLabel": "Descripción" + }, + "toolbar": { + "addExport": "Añadir Exportación", + "newCase": "Nuevo caso", + "editCase": "Editar caso", + "deleteCase": "Eliminar caso" + }, + "deleteCase": { + "label": "Eliminar caso", + "desc": "¿Estás seguro de que quieres eliminar {{caseName}}?", + "descKeepExports": "Las exportaciones seguirán disponibles como exportaciones sin categoría.", + "descDeleteExports": "Todas las exportaciones de este caso se eliminarán de forma permanente.", + "deleteExports": "Eliminar también las exportaciones" + }, + "caseCard": { + "emptyCase": "Aún no hay exportaciones" + }, + "jobCard": { + "defaultName": "Exportación de {{camera}}", + "queued": "En cola", + "running": "En ejecución", + "preparing": "Preparando", + "copying": "Copiando", + "encoding": "Codificando", + "encodingRetry": "Codificando (reintento)", + "finalizing": "Finalizando" + }, + "caseView": { + "noDescription": "Sin descripción", + "createdAt": "Creado {{value}}", + "exportCount_one": "1 exportación", + "exportCount_other": "{{count}} exportaciones", + "cameraCount_one": "1 cámara", + "cameraCount_other": "{{count}} cámaras", + "showMore": "Mostrar más", + "showLess": "Mostrar menos", + "emptyTitle": "Este caso está vacío", + "emptyDescription": "Añade exportaciones existentes sin categorizar para mantener el caso organizado.", + "emptyDescriptionNoExports": "Todavía no hay exportaciones sin categorizar disponibles para añadir." + }, + "caseEditor": { + "createTitle": "Crear caso", + "editTitle": "Editar caso", + "namePlaceholder": "Nombre del caso", + "descriptionPlaceholder": "Añade notas o contexto para este caso" + }, + "addExportDialog": { + "title": "Añadir exportación a {{caseName}}", + "searchPlaceholder": "Buscar exportaciones sin categorizar", + "empty": "Ninguna exportación sin categorizar coincide con esta búsqueda.", + "addButton_one": "Añadir 1 exportación", + "addButton_other": "Añadir {{count}} exportaciones", + "adding": "Añadiendo..." + }, + "selected_one": "{{count}} seleccionados", + "selected_other": "{{count}} seleccionados", + "bulkActions": { + "addToCase": "Añadir al caso", + "moveToCase": "Mover al caso", + "removeFromCase": "Eliminar del caso", + "delete": "Eliminar", + "deleteNow": "Eliminar ahora" + }, + "bulkDelete": { + "title": "Eliminar exportaciones", + "desc_one": "¿Seguro que quieres eliminar {{count}} exportación?", + "desc_other": "¿Seguro que quieres eliminar {{count}} exportaciones?" + }, + "bulkRemoveFromCase": { + "title": "Eliminar del caso", + "desc_one": "¿Eliminar {{count}} exportación de este caso?", + "desc_other": "¿Eliminar {{count}} exportaciones de este caso?", + "descKeepExports": "Las exportaciones se moverán a sin categorizar.", + "descDeleteExports": "Las exportaciones se eliminarán permanentemente.", + "deleteExports": "Eliminar exportaciones en su lugar" + }, + "bulkToast": { + "success": { + "delete": "Exportaciones eliminadas correctamente", + "reassign": "Asignación de caso actualizada correctamente", + "remove": "Exportaciones eliminadas del caso correctamente" + }, + "error": { + "deleteFailed": "No se pudieron eliminar las exportaciones: {{errorMessage}}", + "reassignFailed": "No se pudo actualizar la asignación del caso: {{errorMessage}}" + } } } diff --git a/web/public/locales/es/views/faceLibrary.json b/web/public/locales/es/views/faceLibrary.json index f923082dac..8014830fae 100644 --- a/web/public/locales/es/views/faceLibrary.json +++ b/web/public/locales/es/views/faceLibrary.json @@ -30,7 +30,11 @@ "title": "Reconocimientos Recientes", "aria": "Seleccionar reconocimientos recientes", "empty": "No hay intentos recientes de reconocimiento facial", - "titleShort": "Reciente" + "titleShort": "Reciente", + "emptyNoLibrary": { + "title": "Subir una cara", + "description": "Debes añadir al menos una cara a la biblioteca para que el reconocimiento facial funcione." + } }, "selectItem": "Seleccionar {{item}}", "selectFace": "Seleccionar rostro", diff --git a/web/public/locales/es/views/live.json b/web/public/locales/es/views/live.json index fa473384a2..2052b3698f 100644 --- a/web/public/locales/es/views/live.json +++ b/web/public/locales/es/views/live.json @@ -17,7 +17,7 @@ "label": "Haz clic en el marco para centrar la cámara", "enable": "Habilitar clic para mover", "disable": "Deshabilitar clic para mover", - "enableWithZoom": "Activar clic para mover / arrastrar para hacer zoom" + "enableWithZoom": "Habilitar clic para mover / arrastrar para aumentar" }, "up": { "label": "Mover la cámara PTZ hacia arriba" @@ -69,7 +69,8 @@ }, "recording": { "enable": "Habilitar grabación", - "disable": "Deshabilitar grabación" + "disable": "Deshabilitar grabación", + "disabledInConfig": "La grabación debe activarse primero en Ajustes para esta cámara." }, "snapshots": { "enable": "Habilitar capturas de pantalla", diff --git a/web/public/locales/es/views/motionSearch.json b/web/public/locales/es/views/motionSearch.json new file mode 100644 index 0000000000..45b1ddca90 --- /dev/null +++ b/web/public/locales/es/views/motionSearch.json @@ -0,0 +1,77 @@ +{ + "documentTitle": "Búsqueda por movimiento - Frigate", + "title": "Búsqueda por movimiento", + "description": "Dibuja un polígono para definir la región de interés y especifica un intervalo de tiempo para buscar cambios de movimiento dentro de esa región.", + "selectCamera": "Búsqueda por movimiento se está cargando", + "startSearch": "Iniciar búsqueda", + "searchStarted": "Búsqueda iniciada", + "searchCancelled": "Búsqueda cancelada", + "cancelSearch": "Cancelar", + "searching": "Búsqueda en progreso.", + "searchComplete": "Búsqueda completada", + "noResultsYet": "Ejecuta una búsqueda para encontrar cambios de movimiento en la región seleccionada", + "noChangesFound": "No se detectaron cambios de píxeles en la región seleccionada", + "changesFound_one": "Encontrado {{count}} cambio de movimiento", + "changesFound_many": "Encontrados {{count}} cambios de movimiento", + "changesFound_other": "Encontrados {{count}} cambios de movimiento", + "framesProcessed": "{{count}} fotogramas procesados", + "jumpToTime": "Saltar a este tiempo", + "results": "Resultados", + "showSegmentHeatmap": "Mapa de calor", + "newSearch": "Nueva búsqueda", + "clearResults": "Borrar resultados", + "clearROI": "Borrar polígono", + "polygonControls": { + "points_one": "{{count}} punto", + "points_many": "{{count}} puntos", + "points_other": "{{count}} puntos", + "undo": "Deshacer el último punto", + "reset": "Restablecer polígono" + }, + "motionHeatmapLabel": "Mapa de calor de movimiento", + "dialog": { + "title": "Búsqueda de movimiento", + "cameraLabel": "Cámara", + "previewAlt": "Vista previa de la cámara {{camera}}" + }, + "timeRange": { + "title": "Rango de búsqueda", + "start": "Hora de inicio", + "end": "Hora de finalización" + }, + "settings": { + "title": "Ajustes de búsqueda", + "parallelMode": "Modo paralelo", + "parallelModeDesc": "Analiza varios segmentos de grabación al mismo tiempo (más rápido, pero consume significativamente más CPU)", + "threshold": "Umbral de sensibilidad", + "thresholdDesc": "Los valores más bajos detectan cambios más pequeños (1-255)", + "minArea": "Área mínima de cambio", + "minAreaDesc": "Porcentaje mínimo de la región de interés que debe cambiar para considerarse significativo", + "frameSkip": "Salto de fotogramas", + "frameSkipDesc": "Procesa cada N fotogramas. Establécelo según la tasa de FPS de tu cámara para procesar un fotograma por segundo (p. ej., 5 para una cámara de 5 FPS, 30 para una cámara de 30 FPS). Los valores más altos serán más rápidos, pero pueden omitir eventos de movimiento breves.", + "maxResults": "Resultados máximos", + "maxResultsDesc": "Detener después de esta cantidad de marcas de tiempo coincidentes" + }, + "errors": { + "noCamera": "Selecciona una cámara", + "noROI": "Dibuja una región de interés", + "noTimeRange": "Selecciona un rango de tiempo", + "invalidTimeRange": "La hora de fin debe ser posterior a la hora de inicio", + "searchFailed": "La búsqueda falló: {{message}}", + "polygonTooSmall": "El polígono debe tener al menos 3 puntos", + "unknown": "Error desconocido" + }, + "changePercentage": "{{percentage}}% cambiado", + "metrics": { + "title": "Métricas de búsqueda", + "segmentsScanned": "Segmentos analizados", + "segmentsProcessed": "Procesado", + "segmentsSkippedInactive": "Omitido (sin actividad)", + "segmentsSkippedHeatmap": "Omitido (sin superposición de ROI)", + "fallbackFullRange": "Análisis completo de respaldo", + "framesDecoded": "Fotogramas decodificados", + "wallTime": "Tiempo de búsqueda", + "segmentErrors": "Errores de segmento", + "seconds": "{{seconds}} s" + } +} diff --git a/web/public/locales/es/views/replay.json b/web/public/locales/es/views/replay.json new file mode 100644 index 0000000000..f1b7a84f97 --- /dev/null +++ b/web/public/locales/es/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "Depuración de reproducción", + "description": "Reproducir grabaciones de cámara para depuración. La lista de objetos muestra un resumen con retraso temporal de los objetos detectados y la pestaña Mensajes muestra un flujo de los mensajes internos de Frigate de la grabación reproducida.", + "websocket_messages": "Mensajes", + "dialog": { + "title": "Iniciar depuración de reproducción", + "description": "Crea una cámara de reproducción temporal que reproduzca en bucle imágenes históricas para depurar problemas de detección y seguimiento de objetos. La cámara de reproducción tendrá la misma configuración de detección que la cámara de origen. Elige un intervalo de tiempo para comenzar.", + "camera": "Cámara de origen", + "timeRange": "Intervalo de tiempo", + "preset": { + "1m": "Último 1 minuto", + "5m": "Últimos 5 minutos", + "timeline": "Desde la línea de tiempo", + "custom": "Personalizado" + }, + "startButton": "Iniciar reproducción", + "selectFromTimeline": "Seleccionar", + "starting": "Iniciando reproducción...", + "startLabel": "Iniciar", + "endLabel": "Fin", + "toast": { + "error": "No se pudo iniciar la reproducción de depuración: {{error}}", + "alreadyActive": "Ya hay una sesión de reproducción activa", + "stopError": "No se pudo detener la reproducción de depuración: {{error}}", + "goToReplay": "Ir a la reproducción" + } + }, + "page": { + "noSession": "No hay ninguna sesión activa de reproducción de depuración", + "noSessionDesc": "Inicia una reproducción de depuración desde la vista Historial haciendo clic en el botón Acciones de la barra de herramientas y seleccionando Reproducción de depuración.", + "goToRecordings": "Ir al historial", + "preparingClip": "Preparando clip…", + "preparingClipDesc": "Frigate está uniendo las grabaciones del intervalo de tiempo seleccionado. Esto puede tardar un minuto en intervalos más largos.", + "startingCamera": "Iniciando reproducción de depuración…", + "startError": { + "title": "No se pudo iniciar la reproducción de depuración", + "back": "Volver al historial" + }, + "sourceCamera": "Cámara de origen", + "replayCamera": "Cámara de reproducción", + "initializingReplay": "Inicializando reproducción de depuración…", + "stoppingReplay": "Deteniendo repetición de depuración...", + "stopReplay": "Detener repetición", + "confirmStop": { + "title": "¿Detener repetición de depuración?", + "description": "Esto detendrá la sesión y eliminará todos los datos temporales. ¿Estás seguro?", + "confirm": "Detener repetición", + "cancel": "Cancelar" + }, + "activity": "Actividad", + "objects": "Lista de objetos", + "audioDetections": "Detecciones de audio", + "noActivity": "No se detectó actividad", + "activeTracking": "Seguimiento activo", + "noActiveTracking": "No hay seguimiento activo", + "configuration": "Configuración", + "configurationDesc": "Ajusta con precisión la detección de movimiento y los ajustes de seguimiento de objetos para la cámara de repetición de depuración. No se guardará ningún cambio en el archivo de configuración de Frigate." + } +} diff --git a/web/public/locales/es/views/settings.json b/web/public/locales/es/views/settings.json index c6157a7507..7dc10c8a63 100644 --- a/web/public/locales/es/views/settings.json +++ b/web/public/locales/es/views/settings.json @@ -16,12 +16,13 @@ "globalConfig": "Configuración Global - Frigate", "cameraConfig": "Configuración de Cámara - Frigate", "maintenance": "Mantenimiento - Frigate", - "profiles": "Perfiles - Frigate" + "profiles": "Perfiles - Frigate", + "detectorsAndModel": "Detectores y modelo - Frigate" }, "menu": { "cameras": "Configuración de Cámara", "debug": "Depuración", - "ui": "Interfaz de usuario", + "ui": "Interfaz de Usuario", "classification": "Clasificación", "motionTuner": "Ajuste de movimiento", "masksAndZones": "Máscaras / Zonas", @@ -35,7 +36,64 @@ "cameraReview": "Revisar", "general": "General", "globalConfig": "Configuración Global", - "system": "Sistema" + "system": "Sistema", + "integrations": "Integraciones", + "uiSettings": "Configuración de Interfaz de Usuario", + "profiles": "Perfiles", + "globalDetect": "Detección de Objetos", + "globalRecording": "Grabación", + "globalSnapshots": "Instantáneas", + "globalFfmpeg": "arguments,Introduce", + "globalMotion": "Detección de Movimiento", + "globalObjects": "Objetos", + "globalReview": "Revisión", + "globalAudioEvents": "Eventos de Audio", + "globalLivePlayback": "Reproducción en Vivo", + "globalTimestampStyle": "Estilo de Marca de Tiempo", + "systemDatabase": "Base de Datos", + "systemAuthentication": "Autenticación", + "systemTls": "TLS", + "systemNetworking": "Red", + "systemProxy": "Proxy", + "systemUi": "Interfaz", + "systemLogging": "Registro", + "systemEnvironmentVariables": "Variables de entorno", + "systemTelemetry": "Telemetría", + "systemBirdseye": "Birdseye", + "systemFfmpeg": "FFmpeg", + "systemDetectorHardware": "Hardware del detector", + "systemDetectionModel": "Modelo de detección", + "systemMqtt": "MQTT", + "systemGo2rtcStreams": "Flujos go2rtc", + "integrationSemanticSearch": "Búsqueda semántica", + "integrationGenerativeAi": "IA generativa", + "integrationFaceRecognition": "Reconocimiento facial", + "integrationLpr": "Reconocimiento de matrículas", + "integrationObjectClassification": "Clasificación de objetos", + "integrationAudioTranscription": "Transcripción de audio", + "cameraDetect": "Detección de objetos", + "cameraFfmpeg": "FFmpeg", + "cameraRecording": "Grabación", + "cameraSnapshots": "Instantáneas", + "cameraMotion": "Detección de movimiento", + "cameraObjects": "Objetos", + "cameraConfigReview": "Revisión", + "cameraAudioEvents": "Detección de audio", + "cameraAudioTranscription": "Transcripción de audio", + "cameraNotifications": "Notificaciones", + "cameraLivePlayback": "Reproducción en directo", + "cameraBirdseye": "Birdseye", + "cameraFaceRecognition": "Reconocimiento facial", + "cameraLpr": "Reconocimiento de matrículas", + "cameraMqttConfig": "MQTT", + "cameraOnvif": "ONVIF", + "cameraUi": "Interfaz de cámara", + "cameraTimestampStyle": "Estilo de marca de tiempo", + "cameraMqtt": "MQTT de cámara", + "maintenance": "Mantenimiento", + "mediaSync": "Sincronización de medios", + "regionGrid": "Cuadrícula de regiones", + "systemDetectorsAndModel": "Detectores y modelo" }, "dialog": { "unsavedChanges": { @@ -44,7 +102,7 @@ } }, "cameraSetting": { - "camera": "Cámara", + "camera": "Overrides,Sobrescrituras", "noCamera": "Sin cámara" }, "general": { @@ -288,6 +346,10 @@ "zone": "zona", "motion_mask": "máscara de movimiento", "object_mask": "máscara de objeto" + }, + "revertOverride": { + "title": "Revertir a la configuración base", + "desc": "Esto eliminará la sobrescritura del perfil para {{type}} {{name}} y revertirá a la configuración base." } }, "speed": { @@ -299,6 +361,12 @@ "error": { "mustNotBeEmpty": "El nombre no puede estar vacío." } + }, + "id": { + "error": { + "mustNotBeEmpty": "El ID no puede estar vacío.", + "alreadyExists": "Ya existe una máscara con este ID para esta cámara." + } } }, "zones": { @@ -353,6 +421,10 @@ "allObjects": "Todos los objetos", "toast": { "success": "La zona ({{zoneName}}) ha sido guardada." + }, + "enabled": { + "description": "Indica si esta zona está activa y habilitada en la configuración. Si está deshabilitado, no puede ser habilitado por MQTT. Las zonas deshabilitadas se ignoran durante la ejecución.", + "title": "Habilitado" } }, "toast": { @@ -393,7 +465,13 @@ "documentTitle": "Editar Máscara de Movimiento - Frigate", "point_one": "{{count}} punto", "point_many": "{{count}} puntos", - "point_other": "{{count}} puntos" + "point_other": "{{count}} puntos", + "defaultName": "Máscara de movimiento {{number}}", + "name": { + "title": "Nombre", + "description": "Un nombre descriptivo opcional para esta máscara de movimiento.", + "placeholder": "Introduce un nombre..." + } }, "objectMasks": { "label": "Máscaras de Objetos", @@ -419,11 +497,26 @@ "point_one": "{{count}} punto", "point_many": "{{count}} puntos", "point_other": "{{count}} puntos", - "clickDrawPolygon": "Haz clic para dibujar un polígono en la imagen." + "clickDrawPolygon": "Haz clic para dibujar un polígono en la imagen.", + "name": { + "title": "Nombre", + "description": "Un nombre descriptivo opcional para esta máscara de objeto.", + "placeholder": "Introduce un nombre..." + } }, "restart_required": "Es necesario reiniciar (se han cambiado las máscaras/zonas)", "motionMaskLabel": "Máscara de movimiento {{number}}", - "objectMaskLabel": "Máscara de objeto {{number}}" + "objectMaskLabel": "Máscara de objeto {{number}}", + "disabledInConfig": "El elemento está deshabilitado en el archivo de configuración", + "addDisabledProfile": "Añádelo primero a la configuración base y luego sobrescríbelo en el perfil", + "profileBase": "(base)", + "profileOverride": "(sobrescritura)", + "masks": { + "enabled": { + "title": "Habilitado", + "description": "Indica si esta máscara está habilitada en el archivo de configuración. Si está deshabilitada, no se puede habilitar mediante MQTT. Las máscaras deshabilitadas se ignoran en tiempo de ejecución." + } + } }, "motionDetectionTuner": { "title": "Sintonizador de Detección de Movimiento", @@ -696,8 +789,8 @@ "snapshots": "Instantáneas", "cleanCopySnapshots": "clean_copy Instantáneas" }, - "desc": "Enviar a Frigate+ requiere que tanto las capturas instantáneas como las capturas clean_copy estén habilitadas en tu configuración.", - "cleanCopyWarning": "Algunas cámaras tienen las instantáneas habilitadas pero tienen la copia limpia desactivada. Necesitas habilitar clean_copy en tu configuración de instantáneas para poder enviar imágenes de estas cámaras a Frigate+." + "desc": "Enviar a Frigate+ requiere que las instantáneas estén habilitadas en tu configuración.", + "cleanCopyWarning": "Algunas cámaras tienen las instantáneas deshabilitadas" }, "modelInfo": { "title": "Información del modelo", @@ -708,13 +801,21 @@ "cameras": "Cámaras", "loading": "Cargando información del modelo…", "error": "No se pudo cargar la información del modelo", - "availableModels": "Modelos disponibles", + "availableModels": "Modelos de Frigate+ disponibles", "loadingAvailableModels": "Cargando modelos disponibles…", "modelSelect": "Tus modelos disponibles en Frigate+ se pueden seleccionar aquí. Ten en cuenta que solo se pueden seleccionar modelos compatibles con tu configuración actual de detectores.", "trainDate": "Fecha de entrenamiento", "plusModelType": { "baseModel": "Modelo Base", "userModel": "Ajustado Finamente" + }, + "noModelLoaded": "Actualmente no hay ningún modelo de Frigate+ cargado.", + "selectModel": "Selecciona un modelo", + "noModelsAvailable": "No hay modelos disponibles", + "filter": { + "ariaLabel": "Filtrar modelos por tipo", + "baseModels": "Modelos base", + "fineTunedModels": "Modelos ajustados" } }, "toast": { @@ -722,7 +823,15 @@ "error": "No se pudieron guardar los cambios en la configuración: {{errorMessage}}" }, "restart_required": "Es necesario reiniciar (se ha cambiado el modelo Frigate+)", - "unsavedChanges": "Cambios en la configuración de Frigate+ no guardados" + "unsavedChanges": "Cambios en la configuración de Frigate+ no guardados", + "description": "Frigate+ es un servicio de suscripción que proporciona acceso a funciones y capacidades adicionales para su instancia de Frigate, incluida la posibilidad de utilizar modelos de detección de objetos personalizados entrenados con sus propios datos. Puede gestionar la configuración de sus modelos de Frigate+ aquí.", + "cardTitles": { + "api": "API", + "currentModel": "Modelo actual", + "otherModels": "Otros modelos", + "configuration": "Configuración" + }, + "changeInDetectorsAndModel": "Cambiar modelo" }, "enrichments": { "title": "Configuración de Enriquecimientos", @@ -748,11 +857,11 @@ "modelSize": { "label": "Tamaño del Modelo", "small": { - "title": "pequeño", + "title": "size", "desc": "Usar la opción small emplea una versión cuantizada del modelo que consume menos memoria RAM y se ejecuta más rápido en la CPU, con una diferencia muy pequeña o casi imperceptible en la calidad de las representaciones (embeddings)." }, "large": { - "title": "grande", + "title": "model", "desc": "Usar la opción large emplea el modelo completo de Jina y se ejecutará automáticamente en la GPU, si está disponible." }, "desc": "Tamaño del modelo usado para la búsqueda semántica." @@ -1138,7 +1247,8 @@ }, "hikvision": { "substreamWarning": "La subtransmisión 1 está limitada a una resolución baja. Muchas cámaras Hikvision admiten subtransmisiones adicionales que deben habilitarse en la configuración de la cámara. Se recomienda comprobar y utilizar dichas transmisiones si están disponibles." - } + }, + "resolutionUnknown": "No se pudo detectar la resolución de este flujo. Debes establecer manualmente la resolución de detección en Ajustes o en tu configuración." } }, "title": "Añadir cámara", @@ -1172,7 +1282,21 @@ "backToSettings": "Volver a configuración de la cámara", "streams": { "title": "Habilitar/deshabilitar cámaras", - "desc": "Desactiva temporalmente una cámara hasta que Frigate se reinicie. Desactivar una cámara detiene por completo el procesamiento de las transmisiones de Frigate. La detección, la grabación y la depuración no estarán disponibles.
    Nota: Esto no desactiva las retransmisiones de go2rtc." + "desc": "Desactiva temporalmente una cámara hasta que Frigate se reinicie. Desactivar una cámara detiene por completo el procesamiento de las transmisiones de Frigate. La detección, la grabación y la depuración no estarán disponibles.
    Nota: Esto no desactiva las retransmisiones de go2rtc.", + "enableDesc": "Deshabilita temporalmente una cámara habilitada hasta que Frigate se reinicie. Deshabilitar una cámara detiene completamente el procesamiento de los flujos de esa cámara por parte de Frigate. La detección, la grabación y la depuración no estarán disponibles. Nota: Esto no deshabilita las retransmisiones de go2rtc.Arrastra el controlador para reordenar las cámaras tal y como aparecen en la interfaz. El orden de las cámaras habilitadas se reflejará en toda la interfaz, incluido el panel en directo y los menús desplegables de selección de cámaras.", + "enableLabel": "Cámaras habilitadas", + "disableLabel": "Cámaras deshabilitadas", + "disableDesc": "Habilita una cámara que actualmente no está visible en la interfaz y está deshabilitada en la configuración. Es necesario reiniciar Frigate después de habilitarla.", + "enableSuccess": "{{cameraName}} se ha habilitado en la configuración. Reinicia Frigate para aplicar los cambios.", + "friendlyName": { + "edit": "Editar nombre visible de la cámara", + "title": "Editar nombre visible", + "description": "Establece el nombre descriptivo que se mostrará para esta cámara en toda la interfaz de Frigate. Déjalo en blanco para usar el ID de la cámara.", + "rename": "Renombrar" + }, + "reorderHandle": "Arrastrar para reordenar", + "saving": "Guardando…", + "saved": "Guardado" }, "cameraConfig": { "add": "Añadir cámara", @@ -1202,7 +1326,36 @@ "toast": { "success": "Cámara {{cameraName}} guardada correctamente" } - } + }, + "deleteCameraDialog": { + "description": "Eliminar una cámara borrará permanentemente todas las grabaciones, los objetos rastreados y la configuración de esa cámara. Es posible que sea necesario eliminar manualmente cualquier transmisión go2rtc asociada a esta cámara.", + "title": "Eliminar cámara", + "selectPlaceholder": "Elegir cámara...", + "confirmTitle": "¿Estás seguro?", + "confirmWarning": "Eliminar {{cameraName}} no se puede deshacer.", + "deleteExports": "Eliminar también las exportaciones de esta cámara", + "confirmButton": "Eliminar permanentemente", + "success": "La cámara {{cameraName}} se ha eliminado correctamente", + "error": "No se pudo eliminar la cámara {{cameraName}}" + }, + "deleteCamera": "Eliminar cámara", + "profiles": { + "title": "Sobrescrituras de cámaras del perfil", + "selectLabel": "Seleccionar perfil", + "description": "Configura qué cámaras se habilitan o deshabilitan cuando se activa un perfil. Las cámaras configuradas como \"Heredar\" conservan su estado base habilitado.", + "inherit": "Heredar", + "enabled": "Habilitado", + "disabled": "Deshabilitado" + }, + "cameraType": { + "title": "Tipo de cámara", + "label": "Tipo de cámara", + "description": "Establece el tipo de cada cámara. Las cámaras LPR dedicadas son cámaras de un solo propósito con un zoom óptico potente para capturar matrículas de vehículos lejanos. La mayoría de cámaras deberían usar el tipo de cámara normal salvo que la cámara esté específicamente destinada a LPR y tenga una vista muy enfocada a matrículas.", + "normal": "Normal", + "dedicatedLpr": "LPR dedicada", + "saveSuccess": "Se ha actualizado el tipo de cámara de {{cameraName}}. Reinicia Frigate para aplicar los cambios." + }, + "description": "Añade, edita y elimina cámaras, controla qué cámaras están habilitadas y configura sobrescrituras por perfil y tipo de cámara. Para configurar flujos, detección, movimiento y otros ajustes específicos de cámara, selecciona la sección correspondiente dentro de Configuración de cámara." }, "cameraReview": { "title": "Configuración de revisión de la cámara", @@ -1245,20 +1398,611 @@ "overriddenGlobal": "Sobrescrito (Global)", "overriddenBaseConfigTooltip": "El perfil {{profile}} sobrescribe los ajustes de configuración de esta sección", "overriddenGlobalTooltip": "Esta cámara sobrescribe los ajustes de configuración global en esta sección", - "overriddenBaseConfig": "Sobrescrito (Configuración Base)" + "overriddenBaseConfig": "Sobrescrito (Configuración Base)", + "overriddenInCameras": { + "label_one": "Sobrescrito en {{count}} cámara", + "label_many": "Sobrescrito en {{count}} cámaras", + "label_other": "Sobrescrito en {{count}} cámaras", + "tooltip_one": "{{count}} cámaras sobrescriben los valores de esta sección. Haz clic para ver los detalles.", + "tooltip_many": "{{count}} cámaras sobrescriben los valores de esta sección. Haz clic para ver los detalles.", + "tooltip_other": "{{count}} cámaras sobrescriben los valores de esta sección. Haz clic para ver los detalles.", + "heading_one": "This global section has fields that are overridden in {{count}} camera.", + "heading_many": "Esta sección global tiene campos que están sobrescritos en {{count}} cámaras.", + "heading_other": "Esta sección global tiene campos que están sobrescritos en {{count}} cámaras.", + "othersField_one": "{{count}} más", + "othersField_many": "{{count}} más", + "othersField_other": "{{count}} más", + "profilePrefix": "Perfil {{profile}}: {{fields}}" + }, + "overriddenGlobalHeading_one": "Esta cámara sobrescribe {{count}} campo de la configuración global:", + "overriddenGlobalHeading_many": "Esta cámara sobrescribe {{count}} campos de la configuración global:", + "overriddenGlobalHeading_other": "Esta cámara sobrescribe {{count}} campos de la configuración global:", + "overriddenGlobalNoDeltas": "Esta cámara sobrescribe la configuración global, pero no hay diferencias en los valores de los campos.", + "overriddenBaseConfigHeading_one": "El perfil {{profile}} sobrescribe {{count}} campo de la configuración base:", + "overriddenBaseConfigHeading_many": "El perfil {{profile}} sobrescribe {{count}} campos de la configuración base:", + "overriddenBaseConfigHeading_other": "El perfil {{profile}} sobrescribe {{count}} campos de la configuración base:", + "overriddenBaseConfigNoDeltas": "El perfil {{profile}} sobrescribe esta sección, pero no hay diferencias en los valores de los campos respecto a la configuración base." }, "onvif": { - "profileLoading": "Cargando perfiles..." + "profileLoading": "Cargando perfiles...", + "profileAuto": "Auto", + "autotracking": { + "zooming": { + "disabled": "Deshabilitado", + "absolute": "Absoluto", + "relative": "Relativo" + } + } }, "maintenance": { "sync": { "verboseDesc": "Escribe una lista completa de archivos huérfanos en el disco para su revisión.", - "verbose": "Detallado" - } + "verbose": "Detallado", + "desc": "Frigate limpiará periódicamente los archivos multimedia según un cronograma regular, de acuerdo con su configuración de retención. Es normal ver algunos archivos huérfanos mientras Frigate se ejecuta. Utilice esta función para eliminar del disco los archivos multimedia huérfanos que ya no se referencian en la base de datos.", + "forceDesc": "Omitir el umbral de seguridad y completar la sincronización incluso si se eliminara más del 50% de los archivos.", + "title": "Sincronización de medios", + "started": "Sincronización de medios iniciada.", + "alreadyRunning": "Ya hay una tarea de sincronización en ejecución", + "error": "No se pudo iniciar la sincronización", + "currentStatus": "Estado", + "jobId": "ID de tarea", + "startTime": "Hora de inicio", + "endTime": "Hora de finalización", + "statusLabel": "Estado", + "results": "Resultados", + "errorLabel": "Error", + "mediaTypes": "Tipos de medios", + "allMedia": "Todos los medios", + "dryRun": "Simulación", + "dryRunEnabled": "No se eliminará ningún archivo", + "dryRunDisabled": "Se eliminarán archivos", + "force": "Forzar", + "running": "Sincronización en curso...", + "start": "Iniciar sincronización", + "inProgress": "La sincronización está en curso. Esta página está deshabilitada.", + "status": { + "queued": "En cola", + "running": "En ejecución", + "completed": "Completado", + "failed": "Fallido", + "notRunning": "No está en ejecución" + }, + "resultsFields": { + "filesChecked": "Archivos comprobados", + "orphansFound": "Huérfanos encontrados", + "orphansDeleted": "Huérfanos eliminados", + "aborted": "Abortado. La eliminación superaría el umbral de seguridad.", + "error": "Error", + "totals": "Totales" + }, + "event_snapshots": "Instantáneas de objetos rastreados", + "event_thumbnails": "Miniaturas de objetos rastreados", + "review_thumbnails": "Miniaturas de revisión", + "previews": "Vistas previas", + "exports": "Exportaciones", + "recordings": "Grabaciones" + }, + "regionGrid": { + "clearConfirmDesc": "No se recomienda borrar la cuadrícula de la región a menos que haya cambiado recientemente el tamaño del modelo de su detector o la posición física de su cámara y esté experimentando problemas de seguimiento de objetos. La cuadrícula se reconstruirá automáticamente con el tiempo a medida que se realice el seguimiento de los objetos. Es necesario reiniciar Frigate para que los cambios surtan efecto.", + "desc": "La cuadrícula de regiones es una optimización que aprende dónde suelen aparecer los objetos de diferentes tamaños en el campo de visión de cada cámara. Frigate utiliza estos datos para dimensionar de forma eficiente las regiones de detección. La cuadrícula se construye automáticamente a lo largo del tiempo a partir de los datos de los objetos rastreados.", + "title": "Cuadrícula de regiones", + "clear": "Borrar cuadrícula de regiones", + "clearConfirmTitle": "Borrar cuadrícula de regiones", + "clearSuccess": "Cuadrícula de regiones borrada correctamente", + "clearError": "No se pudo borrar la cuadrícula de regiones", + "restartRequired": "Es necesario reiniciar para que los cambios de la cuadrícula de regiones surtan efecto" + }, + "title": "Mantenimiento" }, "configForm": { "camera": { - "noCameras": "No hay cámaras disponibles" + "noCameras": "No hay cámaras disponibles", + "description": "Estos ajustes se aplican únicamente a esta cámara y anulan los ajustes globales.", + "title": "Ajustes de cámara" + }, + "genaiModel": { + "noModels": "No hay modelos disponibles", + "placeholder": "Seleccionar modelo…", + "search": "Buscar modelos…" + }, + "global": { + "description": "Estos ajustes se aplican a todas las cámaras, a menos que se anulen en los ajustes específicos de cada cámara.", + "title": "Ajustes globales" + }, + "sections": { + "go2rtc": "streams", + "detect": "Detección", + "record": "Grabación", + "snapshots": "Instantáneas", + "motion": "Movimiento", + "objects": "Objetos", + "review": "Revisión", + "audio": "Audio", + "notifications": "Notificaciones", + "live": "Vista en directo", + "timestamp_style": "Marcas de tiempo", + "mqtt": "MQTT", + "database": "Base de datos", + "telemetry": "Telemetría", + "auth": "Autenticación", + "tls": "TLS", + "proxy": "Proxy", + "ffmpeg": "FFmpeg", + "detectors": "Detectores", + "model": "Modelo", + "semantic_search": "Búsqueda semántica", + "genai": "GenAI", + "face_recognition": "Reconocimiento facial", + "lpr": "Reconocimiento de matrículas", + "birdseye": "Birdseye", + "masksAndZones": "Máscaras / zonas" + }, + "advancedSettingsCount": "Ajustes avanzados ({{count}})", + "advancedCount": "Avanzado ({{count}})", + "showAdvanced": "Mostrar ajustes avanzados", + "tabs": { + "sharedDefaults": "Valores predeterminados compartidos", + "system": "Sistema", + "integrations": "Integraciones" + }, + "additionalProperties": { + "keyLabel": "Clave", + "valueLabel": "Valor", + "keyPlaceholder": "Nueva clave", + "remove": "Eliminar" + }, + "knownPlates": { + "namePlaceholder": "p. ej., Coche de mi mujer", + "platePlaceholder": "Número de matrícula o regex" + }, + "timezone": { + "defaultOption": "Usar zona horaria del navegador" + }, + "roleMap": { + "empty": "No hay asignaciones de roles", + "roleLabel": "Rol", + "groupsLabel": "Grupos", + "addMapping": "Añadir asignación de rol", + "remove": "Eliminar" + }, + "ffmpegArgs": { + "preset": "Preajuste", + "manual": "Argumentos manuales", + "inherit": "Heredar del ajuste de cámara", + "none": "Ninguno", + "useGlobalSetting": "Heredar del ajuste global", + "selectPreset": "Seleccionar preajuste", + "manualPlaceholder": "Introduce argumentos de FFmpeg", + "presetLabels": { + "preset-rpi-64-h264": "Raspberry Pi (H.264)", + "preset-rpi-64-h265": "Raspberry Pi (H.265)", + "preset-vaapi": "VAAPI (GPU Intel/AMD)", + "preset-intel-qsv-h264": "Intel QuickSync (H.264)", + "preset-intel-qsv-h265": "Intel QuickSync (H.265)", + "preset-nvidia": "GPU NVIDIA", + "preset-jetson-h264": "NVIDIA Jetson (H.264)", + "preset-jetson-h265": "NVIDIA Jetson (H.265)", + "preset-rkmpp": "Rockchip RKMPP", + "preset-http-jpeg-generic": "HTTP JPEG (genérico)", + "preset-http-mjpeg-generic": "HTTP MJPEG (genérico)", + "preset-http-reolink": "HTTP - Cámaras Reolink", + "preset-rtmp-generic": "RTMP (genérico)", + "preset-rtsp-generic": "RTSP (genérico)", + "preset-rtsp-restream": "RTSP - Retransmisión desde go2rtc", + "preset-rtsp-restream-low-latency": "RTSP - Retransmisión desde go2rtc (baja latencia)", + "preset-rtsp-udp": "RTSP - UDP", + "preset-rtsp-blue-iris": "RTSP - Blue Iris", + "preset-record-generic": "Grabación (genérica, sin audio)", + "preset-record-generic-audio-copy": "Grabación (genérica + copiar audio)", + "preset-record-generic-audio-aac": "Grabación (genérica + audio a AAC)", + "preset-record-mjpeg": "Grabación - Cámaras MJPEG", + "preset-record-jpeg": "Grabación - Cámaras JPEG", + "preset-record-ubiquiti": "Grabación - Cámaras Ubiquiti" + } + }, + "cameraInputs": { + "itemTitle": "Flujo {{index}}" + }, + "restartRequiredField": "Reinicio necesario", + "restartRequiredFooter": "Configuración modificada - reinicio necesario", + "detect": { + "title": "Ajustes de detección" + }, + "detectors": { + "title": "Ajustes de detector", + "singleType": "Solo se permite un detector {{type}}.", + "keyRequired": "El nombre del detector es obligatorio.", + "keyDuplicate": "El nombre del detector ya existe.", + "noSchema": "No hay esquemas de detector disponibles.", + "none": "No hay instancias de detector configuradas.", + "add": "Añadir detector", + "addCustomKey": "Añadir clave personalizada" + }, + "record": { + "title": "Ajustes de grabación" + }, + "snapshots": { + "title": "Ajustes de instantáneas" + }, + "motion": { + "title": "Ajustes de movimiento" + }, + "objects": { + "title": "Ajustes de objetos" + }, + "audioLabels": { + "summary": "{{count}} etiquetas de audio seleccionadas", + "empty": "No hay etiquetas de audio disponibles" + }, + "objectLabels": { + "summary": "{{count}} tipos de objeto seleccionados", + "empty": "No hay etiquetas de objeto disponibles" + }, + "reviewLabels": { + "summary": "{{count}} etiquetas seleccionadas", + "empty": "No hay etiquetas disponibles" + }, + "filters": { + "objectFieldLabel": "{{field}} para {{label}}" + }, + "zoneNames": { + "summary": "{{count}} seleccionados", + "empty": "No hay zonas disponibles" + }, + "inputRoles": { + "summary": "{{count}} roles seleccionados", + "empty": "No hay roles disponibles", + "options": { + "detect": "Detectar", + "record": "Grabar", + "audio": "Audio" + } + }, + "genaiRoles": { + "options": { + "embeddings": "Embedding", + "descriptions": "Descripciones", + "chat": "Chat" + } + }, + "semanticSearchModel": { + "placeholder": "Seleccionar modelo…", + "builtIn": "Modelos integrados", + "genaiProviders": "Proveedores de GenAI" + }, + "review": { + "title": "Ajustes de revisión" + }, + "audio": { + "title": "Ajustes de audio" + }, + "notifications": { + "title": "Ajustes de notificaciones" + }, + "live": { + "title": "Ajustes de vista en directo" + }, + "timestamp_style": { + "title": "Ajustes de marcas de tiempo" + }, + "searchPlaceholder": "Buscar...", + "addCustomLabel": "Añadir etiqueta personalizada..." + }, + "globalConfig": { + "title": "Configuración global", + "description": "Configura los ajustes globales que se aplican a todas las cámaras, a menos que se sobrescriban.", + "toast": { + "success": "Ajustes globales guardados con éxito", + "error": "Error al guardar los ajustes globales", + "validationError": "Error de validación" } + }, + "cameraConfig": { + "title": "Configuración de cámara", + "description": "Configura los ajustes de cámaras individuales. Estos ajustes sobrescriben los valores globales predeterminados.", + "overriddenBadge": "Sobrescrito", + "resetToGlobal": "Restablecer al valor global", + "toast": { + "success": "Ajustes de cámara guardados con éxito", + "error": "Error al guardar los ajustes de cámara" + } + }, + "toast": { + "success": "Ajustes guardados con éxito", + "applied": "Ajustes aplicados con éxito", + "successRestartRequired": "Ajustes guardados con éxito. Reinicia Frigate para aplicar los cambios.", + "error": "Error al guardar los ajustes", + "validationError": "Error de validación: {{message}}", + "resetSuccess": "Restablecido a los valores globales predeterminados", + "resetError": "Error al restablecer los ajustes", + "saveAllSuccess_one": "Se ha guardado {{count}} sección con éxito.", + "saveAllSuccess_many": "Se han guardado las {{count}} secciones con éxito.", + "saveAllSuccess_other": "Se han guardado {{count}} secciones con éxito.", + "saveAllPartial_one": "Se ha guardado {{successCount}} de {{totalCount}} sección. {{failCount}} ha fallado.", + "saveAllPartial_many": "Se han guardado {{successCount}} de {{totalCount}} secciones. {{failCount}} han fallado.", + "saveAllPartial_other": "Se han guardado {{successCount}} de {{totalCount}} secciones. {{failCount}} han fallado.", + "saveAllFailure": "Error al guardar todas las secciones.", + "saveAllSuccessRestartRequired_one": "La sección {{count}} se ha guardado correctamente. Reinicia Frigate para aplicar los cambios.", + "saveAllSuccessRestartRequired_many": "Las {{count}} secciones se han guardado correctamente. Reinicia Frigate para aplicar los cambios.", + "saveAllSuccessRestartRequired_other": "Las {{count}} secciones se han guardado correctamente. Reinicia Frigate para aplicar los cambios." + }, + "profiles": { + "title": "Perfiles", + "activeProfile": "Perfil activo", + "noActiveProfile": "Sin perfil activo", + "active": "Activo", + "activated": "Perfil '{{profile}}' activado", + "activateFailed": "Error al establecer el perfil", + "deactivated": "Perfil desactivado", + "noProfiles": "No hay perfiles definidos.", + "noOverrides": "Sin sobrescripciones", + "cameraCount_one": "{{count}} cámara", + "cameraCount_many": "{{count}} de cámaras", + "cameraCount_other": "{{count}} cámaras", + "columnCamera": "Cámara", + "columnOverrides": "Sobrescripciones del perfil", + "baseConfig": "Configuración base", + "addProfile": "Añadir perfil", + "newProfile": "Nuevo perfil", + "profileNamePlaceholder": "ej. Armado, Fuera de casa, Modo noche", + "friendlyNameLabel": "Nombre del perfil", + "profileIdLabel": "ID del perfil", + "profileIdDescription": "Identificador interno utilizado en la configuración y automatizaciones", + "nameInvalid": "Solo se permiten letras minúsculas, números y guiones bajos", + "nameDuplicate": "Ya existe un perfil con este nombre", + "error": { + "mustBeAtLeastTwoCharacters": "Debe tener al menos 2 caracteres", + "mustNotContainPeriod": "No debe contener puntos", + "alreadyExists": "Ya existe un perfil con este ID" + }, + "renameProfile": "Renombrar perfil", + "renameSuccess": "Perfil renombrado a '{{profile}}'", + "enabledDescription": "Los perfiles están habilitados. Cree un nuevo perfil a continuación, navegue a una sección de configuración de cámara para realizar sus cambios y guarde para que estos surtan efecto.", + "disabledDescription": "Los perfiles le permiten definir conjuntos con nombre de anulaciones de configuración de la cámara (por ejemplo: armado, fuera, noche) que pueden activarse bajo demanda.", + "deleteProfile": "Eliminar perfil", + "deleteProfileConfirm": "¿Eliminar el perfil \"{{profile}}\" de todas las cámaras? Esta acción no se puede deshacer.", + "deleteSuccess": "Perfil '{{profile}}' eliminado", + "createSuccess": "Perfil '{{profile}}' creado", + "removeOverride": "Eliminar sobrescritura de perfil", + "deleteSection": "Eliminar sobrescrituras de sección", + "deleteSectionConfirm": "¿Eliminar las sobrescrituras de {{section}} del perfil {{profile}} en {{camera}}?", + "deleteSectionSuccess": "Sobrescrituras de {{section}} eliminadas para {{profile}}", + "enableSwitch": "Habilitar perfiles" + }, + "go2rtcStreams": { + "renameStreamDesc": "Introduce un nuevo nombre para esta transmisión. Cambiar el nombre de una transmisión puede provocar fallos en las cámaras u otras transmisiones que hagan referencia a ella por su nombre.", + "addStreamDesc": "Introduce un nombre para la nueva transmisión. Este nombre se utilizará para hacer referencia a la transmisión en la configuración de su cámara.", + "description": "Gestione las configuraciones de transmisión de go2rtc para la retransmisión de cámaras. Cada transmisión tiene un nombre y una o más URL de origen.", + "deleteStreamConfirm": "¿Está seguro de que desea eliminar la transmisión \"{{streamName}}\"? Las cámaras que hagan referencia a esta transmisión podrían dejar de funcionar.", + "title": "Flujos go2rtc", + "addStream": "Añadir flujo", + "addUrl": "Añadir URL", + "streamName": "Nombre del flujo", + "streamNamePlaceholder": "p. ej., puerta_principal", + "streamUrlPlaceholder": "p. ej., rtsp://usuario:contraseña@192.168.1.100/stream", + "deleteStream": "Eliminar flujo", + "noStreams": "No hay flujos go2rtc configurados. Añade un flujo para empezar.", + "validation": { + "nameRequired": "El nombre del flujo es obligatorio", + "nameDuplicate": "Ya existe un flujo con este nombre", + "nameInvalid": "El nombre del flujo solo puede contener letras, números, guiones bajos y guiones", + "urlRequired": "Se requiere al menos una URL" + }, + "renameStream": "Renombrar flujo", + "newStreamName": "Nuevo nombre del flujo", + "ffmpeg": { + "useFfmpegModule": "Usar modo de compatibilidad (ffmpeg)", + "video": "Vídeo", + "audio": "Audio", + "hardware": "Aceleración por hardware", + "videoCopy": "Copiar", + "videoH264": "Transcodificar a H.264", + "videoH265": "Transcodificar a H.265", + "videoExclude": "Excluir", + "audioCopy": "Copiar", + "audioAac": "Transcodificar a AAC", + "audioOpus": "Transcodificar a Opus", + "audioPcmu": "Transcodificar a PCM μ-law", + "audioPcma": "Transcodificar a PCM A-law", + "audioPcm": "Transcodificar a PCM", + "audioMp3": "Transcodificar a MP3", + "audioExclude": "Excluir", + "hardwareNone": "Sin aceleración por hardware", + "hardwareAuto": "Automático (recomendado)", + "hardwareVaapi": "VAAPI", + "hardwareCuda": "CUDA", + "hardwareV4l2m2m": "V4L2 M2M", + "hardwareDxva2": "DXVA2", + "hardwareVideotoolbox": "VideoToolbox", + "addVideoCodec": "Añadir códec de vídeo", + "addAudioCodec": "Añadir códec de audio", + "removeCodec": "Eliminar códec" + }, + "streamNumber": "Flujo {{index}}" + }, + "configMessages": { + "birdseye": { + "objectsModeDetectDisabled": "Birdseye está configurado en modo 'objects', pero la detección de objetos está desactivada para esta cámara. La cámara no aparecerá en Birdseye." + }, + "lpr": { + "globalDisabled": "El reconocimiento de matrículas no está habilitado a nivel global. Habilítelo en la configuración global para que funcione el reconocimiento de matrículas a nivel de cámara.", + "vehicleNotTracked": "El reconocimiento de matrículas requiere rastrear 'car' o 'motorcycle'. Habilita 'car' o 'motorcycle' en Objetos para esta cámara.", + "modelSizeLarge": "El modelo 'large' está optimizado para matrículas de varias líneas. El modelo 'small' ofrece mejor rendimiento que 'large' y debería usarse salvo que tu región use formatos de matrícula de varias líneas." + }, + "audio": { + "noAudioRole": "Ninguna transmisión tiene definido el rol de audio. Debe habilitar el rol de audio para que funcione la detección de audio." + }, + "faceRecognition": { + "personNotTracked": "El reconocimiento facial requiere que se realice el seguimiento del objeto 'person'. Asegúrese de que 'person' se encuentre en la lista de seguimiento de objetos.", + "globalDisabled": "El enriquecimiento de reconocimiento facial debe estar habilitado para que las funciones de reconocimiento facial funcionen en esta cámara.", + "modelSizeLarge": "El modelo 'large' requiere una GPU o NPU para ofrecer un rendimiento razonable. Usa 'small' en sistemas solo con CPU." + }, + "audioTranscription": { + "audioDetectionDisabled": "La detección de audio no está habilitada para esta cámara. La transcripción de audio requiere que la detección de audio esté activa." + }, + "snapshots": { + "detectDisabled": "La detección de objetos está desactivada. Las instantáneas se generan a partir de los objetos rastreados y no se crearán." + }, + "detectors": { + "mixedTypes": "Todos los detectores deben ser del mismo tipo. Retire los detectores existentes para utilizar un tipo diferente.", + "mixedTypesSuggestion": "Todos los detectores deben usar el mismo tipo. Elimina los detectores existentes o selecciona {{type}}." + }, + "review": { + "detectDisabled": "La detección de objetos está desactivada. Los elementos de revisión requieren objetos detectados para categorizar las alertas y detecciones.", + "recordDisabled": "La grabación está deshabilitada; no se generarán elementos de revisión.", + "allNonAlertDetections": "Toda la actividad que no sea de alerta se incluirá como detecciones.", + "genaiImageSourceRecordingsRecordDisabled": "El origen de imagen está establecido en 'recordings', pero la grabación está deshabilitada. Frigate usará imágenes de vista previa como alternativa." + }, + "detect": { + "fpsGreaterThanFive": "No se recomienda establecer los FPS de detección por encima de 5. Valores más altos pueden causar problemas de rendimiento y no aportarán ningún beneficio.", + "disabled": "La detección de objetos está deshabilitada. Las instantáneas, los elementos de revisión y enriquecimientos como el reconocimiento facial, el reconocimiento de matrículas y la IA generativa no funcionarán." + }, + "objects": { + "genaiNoDescriptionsProvider": "Debes configurar un proveedor GenAI con el rol 'descriptions' para que se generen descripciones." + }, + "record": { + "noRecordRole": "Ningún flujo tiene definido el rol de grabación. La grabación no funcionará." + }, + "semanticSearch": { + "jinav2SmallModelSize": "El tamaño 'small' con el modelo Jina V2 tiene un alto consumo de RAM y coste de inferencia. Se recomienda el modelo 'large' con una GPU dedicada." + } + }, + "resetToDefaultDescription": "Esto restablecerá todos los ajustes de esta sección a sus valores predeterminados. Esta acción no se puede deshacer.", + "resetToGlobalDescription": "Esto restablecerá la configuración de esta sección a los valores predeterminados globales. Esta acción no se puede deshacer.", + "detectionModel": { + "plusActive": { + "description": "Esta instancia está ejecutando un modelo de Frigate+. Seleccione o cambie su modelo en la configuración de Frigate+.", + "title": "Gestión de modelos de Frigate+", + "label": "Origen del modelo actual", + "goToFrigatePlus": "Ir a los ajustes de Frigate+", + "showModelForm": "Configurar un modelo manualmente" + } + }, + "saveAllPreview": { + "profile": { + "label": "Override,Eliminar" + }, + "title": "Cambios pendientes de guardar", + "triggerLabel": "Revisar cambios pendientes", + "empty": "No hay cambios pendientes.", + "scope": { + "label": "Ámbito", + "global": "Global", + "camera": "Cámara: {{cameraName}}" + }, + "field": { + "label": "Campo" + }, + "value": { + "label": "Nuevo valor", + "reset": "Restablecer" + } + }, + "timestampPosition": { + "tl": "Arriba a la izquierda", + "tr": "Arriba a la derecha", + "bl": "Abajo a la izquierda", + "br": "Abajo a la derecha" + }, + "unsavedChanges": "Tienes cambios sin guardar", + "confirmReset": "Confirmar restablecimiento", + "birdseye": { + "trackingMode": { + "objects": "Objetos", + "motion": "Movimiento", + "continuous": "Continuo" + }, + "cameraOrder": { + "label": "Orden de cámaras", + "description": "Arrastra las cámaras para establecer su orden en el diseño de Birdseye.", + "reorderHandle": "Arrastrar para reordenar", + "saving": "Guardando…", + "saved": "Guardado" + } + }, + "snapshot": { + "retainMode": { + "all": "Todo", + "motion": "Movimiento", + "active_objects": "Objetos activos" + } + }, + "ui": { + "timeFormat": { + "browser": "Navegador", + "12hour": "12 horas", + "24hour": "24 horas" + }, + "TimeOrDateStyle": { + "full": "Completo", + "long": "Largo", + "medium": "Medio", + "short": "Corto" + }, + "unitSystem": { + "metric": "Métrico", + "imperial": "Imperial" + } + }, + "review": { + "imageSource": { + "recordings": "Grabaciones", + "previews": "Vistas previas" + } + }, + "logger": { + "logLevel": { + "debug": "Depuración", + "info": "Información", + "warning": "Advertencia", + "error": "Error", + "critical": "Crítico" + } + }, + "modelSize": { + "small": "Pequeño", + "large": "Grande" + }, + "retainMode": { + "all": "Todo", + "motion": "Movimiento", + "active_objects": "Objetos activos" + }, + "previewQuality": { + "very_high": "Muy alto", + "high": "Alto", + "medium": "Medio", + "low": "Bajo", + "very_low": "Muy bajo" + }, + "detectorsAndModel": { + "title": "Detectores y modelo", + "description": "Configura el backend del detector que ejecuta la detección de objetos y el modelo que utiliza. Los cambios se guardan juntos para que el detector y el modelo permanezcan sincronizados.", + "cardTitles": { + "detector": "Hardware del detector", + "model": "Modelo de detección" + }, + "tabs": { + "plus": "Frigate+", + "custom": "Modelo personalizado" + }, + "mismatch": { + "warning": "El modelo actual de Frigate+ “{{model}}” requiere el detector {{required}}. Selecciona un modelo compatible a continuación o cambia a Modelo personalizado antes de guardar." + }, + "plusModel": { + "requiresDetector": "Requiere: {{detector}}", + "noModelSelected": "Selecciona un modelo de Frigate+" + }, + "toast": { + "saveSuccess": "Los ajustes de detectores y modelo se han guardado. Reinicia Frigate para aplicar los cambios.", + "saveError": "No se pudieron guardar los ajustes del detector y del modelo" + }, + "unsavedChanges": "Cambios sin guardar en el detector y el modelo", + "restartRequired": "Reinicio necesario (se ha cambiado el detector o el modelo)" + }, + "menuDot": { + "overrideGlobal": "Esta sección sobrescribe la configuración global", + "overrideProfile": "Esta sección está sobrescrita por el perfil {{profile}}", + "unsaved": "Esta sección tiene cambios sin guardar" } } diff --git a/web/public/locales/es/views/system.json b/web/public/locales/es/views/system.json index 6c211a77c4..23ee553a12 100644 --- a/web/public/locales/es/views/system.json +++ b/web/public/locales/es/views/system.json @@ -45,10 +45,20 @@ "reviews": "Revisiones", "face_recognition": "Reconocimiento facial", "camera_activity": "Actividad de cámara", - "classification": "Clasificación" + "classification": "Clasificación", + "system": "Sistema", + "camera": "Cámara", + "all_cameras": "Todas las cámaras", + "cameras_count_one": "{{count}} Cámara", + "cameras_count_other": "{{count}} Cámaras", + "lpr": "Reconocimiento de matriculas" }, "count_other": "{{count}} mensajes", - "count_one": "{{count}} mensaje" + "count_one": "{{count}} mensaje", + "empty": "No se han capturado mensaje aún", + "expanded": { + "payload": "Carga útil" + } } }, "title": "Sistema", @@ -99,7 +109,10 @@ "title": "Aviso de estadísticas Intel GPU", "message": "Estadísticas de GPU no disponibles", "description": "Este es un error conocido en las herramientas de informes de estadísticas de GPU de Intel (intel_gpu_top). El error se produce y muestra repetidamente un uso de GPU del 0 %, incluso cuando la aceleración de hardware y la detección de objetos se ejecutan correctamente en la (i)GPU. No se trata de un error de Frigate. Puede reiniciar el host para solucionar el problema temporalmente y confirmar que la GPU funciona correctamente. Esto no afecta al rendimiento." - } + }, + "npuTemperature": "Temperatura NPU", + "gpuCompute": "Cálculo GPU / Codificación", + "gpuTemperature": "Temperatura GPU" }, "otherProcesses": { "title": "Otros Procesos", @@ -136,7 +149,11 @@ }, "shm": { "title": "Asignación de SHM (memoria compartida)", - "warning": "El tamaño actual de SHM de {{total}}MB es muy pequeño. Aumente al menos a {{min_shm}}MB." + "warning": "El tamaño actual de SHM de {{total}}MB es muy pequeño. Aumente al menos a {{min_shm}}MB.", + "frameLifetime": { + "title": "Tiempo de vida del fotograma", + "description": "Cada cámara tiene espacio en la memoria compartida para {{frames}} cuadros. Si la velocidad de cuadros de la cámara es alta, cada cuadro se guarda aproximadamente {{lifetime}} antes de ser sobreescrito." + } } }, "cameras": { @@ -174,7 +191,8 @@ "cameraDetect": "{{camName}} detectar", "cameraFramesPerSecond": "{{camName}} cuadros por segundo", "cameraDetectionsPerSecond": "{{camName}} detecciones por segundo", - "overallSkippedDetectionsPerSecond": "detecciones omitidas por segundo totales" + "overallSkippedDetectionsPerSecond": "detecciones omitidas por segundo totales", + "cameraGpu": "{{camName}} GPU" }, "toast": { "success": { @@ -183,6 +201,20 @@ "error": { "unableToProbeCamera": "No se pudo sondear la cámara: {{errorMessage}}" } + }, + "connectionQuality": { + "excellent": "Excelente", + "poor": "Debil", + "title": "Calidad de la conexión", + "fps": "Cuadros por segundo", + "expectedFps": "Cuadros por segundo esperados", + "reconnectsLastHour": "Reconexiones (última hora)", + "unusable": "No usable", + "fair": "Normal", + "stallsLastHour": "Bloqueos (última hora)" + }, + "noCameras": { + "title": "No se han encontrado cámaras" } }, "lastRefreshed": "Última actualización: ", @@ -221,6 +253,7 @@ "detectIsSlow": "{{detect}} es lento ({{speed}} ms)", "cameraIsOffline": "{{camera}} está desconectada", "detectIsVerySlow": "{{detect}} es muy lento ({{speed}} ms)", - "shmTooLow": "Asignación de /dev/shm ({{total}} MB) debe aumentarse al menos a {{min}} MB." + "shmTooLow": "Asignación de /dev/shm ({{total}} MB) debe aumentarse al menos a {{min}} MB.", + "debugReplayActive": "Sesión de depuración activa" } } diff --git a/web/public/locales/et/audio.json b/web/public/locales/et/audio.json index b0dfec6609..541ffa88ce 100644 --- a/web/public/locales/et/audio.json +++ b/web/public/locales/et/audio.json @@ -113,5 +113,165 @@ "quack": "Prääksumine", "goose": "Hani", "honk": "Kaagatamine", - "wild_animals": "Metsloomad" + "wild_animals": "Metsloomad", + "roaring_cats": "Möirgavad kassid", + "roar": "Möirgamine", + "chirp": "Sirisemine", + "squawk": "Prääksatamine", + "pigeon": "Tuvi", + "coo": "Kudrutamine", + "crow": "Vares", + "caw": "Kraaksumine", + "owl": "Öökull", + "hoot": "Huikamine", + "flapping_wings": "Tiibade laperdamine", + "buzz": "Sumisemine", + "frog": "Konn", + "croak": "Krooksumine", + "snake": "Madu", + "rattle": "Kõristamine/lõgistamine", + "whale_vocalization": "Vaalaskala häälitsused", + "music": "Muusika", + "musical_instrument": "Pill", + "plucked_string_instrument": "Keelpill", + "guitar": "Kitarr", + "electric_guitar": "Elektrikitarr", + "bass_guitar": "Basskitarr", + "acoustic_guitar": "Akustiline kitarr", + "sitar": "Sitar", + "mandolin": "Mandoliin", + "banjo": "Bändžo", + "zither": "Kannel/tsitter", + "ukulele": "Ukulele", + "piano": "Klaver", + "electric_piano": "Elektriklaver", + "organ": "Orel", + "electronic_organ": "Elektriorel", + "hammond_organ": "Hammond-orel", + "synthesizer": "Süntesaator", + "sampler": "Sämpler", + "harpsichord": "Klavessiin", + "percussion": "Löökriistad", + "drum_kit": "Trummikomplekt", + "bass_drum": "Basstrumm", + "tambourine": "Tamburiin", + "glockenspiel": "Ksülofon", + "vibraphone": "Vibrafon (metalltorudega ksülofon)", + "marimba": "Marimbafon", + "tubular_bells": "Torukellad", + "gong": "Gong", + "orchestra": "Orkester", + "cello": "Tšello", + "pizzicato": "Pizzicato (poogenpilli sõrmega mängimine)", + "violin": "Viiul", + "string_section": "Keelpillid", + "trombone": "Tromboon", + "trumpet": "Trompet", + "french_horn": "Metsasarv", + "brass_instrument": "Puhkpillid", + "double_bass": "Kontrabass", + "wind_instrument": "Puhkpill", + "flute": "Flööt", + "saxophone": "Saksofon", + "clarinet": "Klarnet", + "harp": "Harf", + "bell": "Kellad", + "church_bell": "Kirikukell", + "jingle_bell": "Aisakell", + "bicycle_bell": "Rattakell", + "tuning_fork": "Helihark/kammertoon", + "bagpipes": "Torupillid", + "didgeridoo": "Didžeriduu", + "pop_music": "Popmuusika", + "hip_hop_music": "Hiphop muusika", + "rock_music": "Rokkmuusika", + "beatboxing": "Beatbox", + "heavy_metal": "Hevimuusika", + "punk_rock": "Punkrokk", + "grunge": "Grunge", + "progressive_rock": "Progressiivne rokk", + "rhythm_and_blues": "Rütmibluus", + "soul_music": "Soulmuusika", + "reggae": "Reggae", + "country": "Kantrimuusika", + "funk": "Funkmuusika", + "folk_music": "Rahvamuusika", + "middle_eastern_music": "Lähis-Ida muusika", + "jazz": "Džäss", + "disco": "Disko", + "classical_music": "Klassikaline muusika", + "opera": "Ooper", + "electronic_music": "Elektrooniline muusika", + "house_music": "House-muusika", + "techno": "Tekno", + "dubstep": "Dubstep", + "drum_and_bass": "Drum and Bass", + "electronic_dance_music": "Elektrooniline tantsumuusika", + "music_of_latin_america": "Ladina-Ameerika muusika", + "salsa_music": "Salsa", + "flamenco": "Flamenko", + "blues": "Bluus", + "music_for_children": "Lastemuusika", + "new-age_music": "New Age muusika", + "vocal_music": "Laulmine", + "a_capella": "A Capella", + "music_of_africa": "Aafrika muusika", + "afrobeat": "Afrobeat", + "christian_music": "Kristlik muusika", + "gospel_music": "Gospelmuusika", + "music_of_asia": "Aasia muusika", + "music_of_bollywood": "Bollywoodi muusika", + "ska": "Ska", + "carnatic_music": "Karnataka muusika", + "trance_music": "Trance muusika", + "ambient_music": "Ambient muusika", + "electronica": "Electronica", + "swing_music": "Svingmuusika", + "bluegrass": "Bluegrass", + "psychedelic_rock": "Psühhedeelne rokk", + "rock_and_roll": "Rock'n'roll", + "scratching": "Kriipimine/kraapimine", + "theremin": "Teremin", + "accordion": "Akordion", + "harmonica": "Suupill", + "wind_chime": "Tuulekell", + "chime": "Kelluke", + "traditional_music": "Traditsiooniline muusika", + "independent_music": "Sõltumatu muusika", + "song": "Laul", + "background_music": "Taustamuusika", + "lullaby": "Hällilaul", + "christmas_music": "Jõulumuusika", + "video_game_music": "Videomängude muusika", + "dance_music": "Tantsumuusika", + "wedding_music": "Pulmamuusika", + "happy_music": "Rõõmus muusika", + "sad_music": "Kurb muusika", + "tender_music": "Tundeline muusika", + "angry_music": "Vihane muusika", + "exciting_music": "Põnev muusika", + "scary_music": "Hirmutav muusika", + "wind": "Tuul", + "thunderstorm": "Äikesetorm", + "thunder": "Kõu/äike", + "water": "Vesi", + "rain": "Vihm", + "raindrop": "Vihmapiisk", + "spray": "Pritsimine", + "pump": "Pumpamine", + "stir": "Segamine/nihelemine", + "boiling": "Keemine", + "sonar": "Kajalood", + "arrow": "Nool", + "whoosh": "Vuhh/vuhisemine", + "thump": "Potsatus/mütsatus", + "thunk": "Põmakas", + "doorbell": "Uksekell", + "traffic_noise": "Liiklusmüra", + "rail_transport": "Raudteetransport", + "train_whistle": "Rongivile", + "sailboat": "Purjekas", + "soundtrack_music": "Filmimuusika", + "jingle": "Kõlisemine/tilisemine", + "theme_music": "Tunnusmuusika" } diff --git a/web/public/locales/et/common.json b/web/public/locales/et/common.json index d066f85142..3a6a82008f 100644 --- a/web/public/locales/et/common.json +++ b/web/public/locales/et/common.json @@ -140,7 +140,8 @@ "gl": "Galego (galeegi keel)", "id": "Bahasa Indonesia (indoneesia keel)", "ur": "اردو (urdu keel)", - "hr": "Hrvatski (horvaadi keel)" + "hr": "Hrvatski (horvaadi keel)", + "bs": "Bosanski (bosnia keel)" }, "system": "Süsteem", "systemMetrics": "Süsteemi meetrika", @@ -181,7 +182,8 @@ "classification": "Klassifikatsioon", "chat": "Vestlus", "actions": "Tegevused", - "profiles": "Profiilid" + "profiles": "Profiilid", + "features": "Funktsionaalsused" }, "unit": { "speed": { diff --git a/web/public/locales/et/components/filter.json b/web/public/locales/et/components/filter.json index 0df74f6d03..316aeebe25 100644 --- a/web/public/locales/et/components/filter.json +++ b/web/public/locales/et/components/filter.json @@ -4,13 +4,16 @@ "toast": { "error": "Jälgitavate objektide kustutamine ei õnnestunud: {{errorMessage}}", "success": "Jälgitavate objektide kustutamine õnnestus." - } + }, + "title": "Kinnita kustutamine", + "desc": "Nende {{objectLength}} jälgitava objekti kustutamine eemaldab tõmmise salvestuse, kõik seotud salvestatud sissekanded ja kõik seotud objekti elutsükli kirjed. Ajaloo vaates salvestatud videomaterjali nende jälgitavate objektide kohta EI kustutata.

    Kas soovid kindlasti jätkata?

    Hoia Shift-klahvi all, et seda teateakent tulevikus vahele jätta." }, "cameras": { "all": { "title": "Kõik kaamerad", "short": "Kaamerad" - } + }, + "label": "Kaamerate filter" }, "labels": { "all": { @@ -38,7 +41,8 @@ "defaultView": { "title": "Vaikimisi vaade", "summary": "Kokkuvõte", - "unfilteredGrid": "Filtreerimata ruudustik" + "unfilteredGrid": "Filtreerimata ruudustik", + "desc": "Kui filtreid pole valitud, näita viimaste jälgitud objektide kokkuvõtet sildi kohta või näita filtreerimata ruudustikuvaadet." }, "gridColumns": { "title": "Ruudustiku veerud", @@ -48,16 +52,26 @@ "options": { "thumbnailImage": "Pisipilt", "description": "Kirjeldus" - } + }, + "label": "Otsinguallikas", + "desc": "Vali, kas soovid otsida sinu jälgitavate objektide pisipilte või kirjeldusi." + } + }, + "date": { + "selectDateBy": { + "label": "Vali kuupäev, mille alusel tahad filtreerida" } } }, "logSettings": { "loading": { - "title": "Laadin" + "title": "Laadin", + "desc": "Kui logipaneeli vaade on keritud lõpuni, siis kuvatakse lisanduvad logikirjed automaatselt kohe." }, "disableLogStreaming": "Keela logi voogedastus", - "allLogs": "Kõik logid" + "allLogs": "Kõik logid", + "label": "Logimistase filtri jaoks", + "filterBySeverity": "Kriitilisus filtri jaoks" }, "classes": { "label": "Klassid", @@ -83,6 +97,44 @@ "estimatedSpeed": "Hinnanguline kiirus: ({{unit}})", "features": { "label": "Omadused", - "hasSnapshot": "Leidub hetkvõte" + "hasSnapshot": "Leidub hetkvõte", + "hasVideoClip": "Videoklipp on olemas", + "submittedToFrigatePlus": { + "label": "Saadetud teenusesse Frigate+", + "tips": "Sa pead filtreerima jälgitavaid objekte, millel on tõmmis.

    Kui jälgitaval objektil pole tõmmist, siis teda Frigate+ teenusesse saata ei saa." + } + }, + "attributes": { + "label": "Klassifitseerimisatribuudid", + "all": "Kõik atribuudid" + }, + "sort": { + "label": "Järjestus", + "dateAsc": "Kuupäev (kasvavalt)", + "dateDesc": "Kuupäev (kahanevalt)", + "scoreAsc": "Objekti punktiskoor (kasvavalt)", + "scoreDesc": "Objekti punktiskoor (kahanevalt)", + "speedAsc": "Hinnanguline kiirus (kasvavalt)", + "speedDesc": "Hinnanguline kiirus (kahanevalt)", + "relevance": "Teemakohasus" + }, + "review": { + "showReviewed": "Näita ülevaadatuid" + }, + "motion": { + "showMotionOnly": "Näita vaid liikumisega klippe" + }, + "zoneMask": { + "filterBy": "Tsoonimask filtri jaoks" + }, + "recognizedLicensePlates": { + "title": "Tuvastatud sõiduki numbrimärgid", + "loadFailed": "Tuvastatud sõiduki numbrimärkide laadimine ei õnnestunud.", + "loading": "Laadin tuvastatud sõiduki numbrimärke…", + "placeholder": "Sõidukite numbrimärkide otsimiseks kirjuta midagi…", + "noLicensePlatesFound": "Sõidukite numbrimärke ei leidu.", + "selectPlatesFromList": "Vali loendist üks või enam sõiduki numbrimärki.", + "selectAll": "Vali kõik", + "clearAll": "Eemalda kõik" } } diff --git a/web/public/locales/et/components/player.json b/web/public/locales/et/components/player.json index 76d41dd28b..bbf77830d8 100644 --- a/web/public/locales/et/components/player.json +++ b/web/public/locales/et/components/player.json @@ -4,7 +4,8 @@ "noPreviewFoundFor": "{{cameraName}} kaamera eelvaadet ei leidu", "submitFrigatePlus": { "submit": "Saada", - "title": "Kas saadad selle kaadri Frigate+ teenusesse?" + "title": "Kas saadad selle kaadri Frigate+ teenusesse?", + "previewError": "Hetktõmmise eelvaate laadimine ei õnnestu. Salvestus ei pruugi olla hetkel saadaval." }, "cameraDisabled": "Kaamera on kasutuselt eemaldatud", "stats": { diff --git a/web/public/locales/et/config/cameras.json b/web/public/locales/et/config/cameras.json index c2ff153faa..6c2bc5811d 100644 --- a/web/public/locales/et/config/cameras.json +++ b/web/public/locales/et/config/cameras.json @@ -2,5 +2,21 @@ "name": { "label": "Kaamera nimi", "description": "Kaamera nimi on nõutav" + }, + "friendly_name": { + "label": "Sõbralik nimi", + "description": "Frigate UI-s kasutatud kaamerasõbralik nimi" + }, + "enabled": { + "label": "Kasutusel", + "description": "Kasutusel" + }, + "audio": { + "label": "Helisündmused" + }, + "birdseye": { + "mode": { + "label": "Jälgimisrežiim" + } } } diff --git a/web/public/locales/et/config/global.json b/web/public/locales/et/config/global.json index 0967ef424b..ab44041b5c 100644 --- a/web/public/locales/et/config/global.json +++ b/web/public/locales/et/config/global.json @@ -1 +1,10 @@ -{} +{ + "audio": { + "label": "Helisündmused" + }, + "birdseye": { + "mode": { + "label": "Jälgimisrežiim" + } + } +} diff --git a/web/public/locales/et/config/groups.json b/web/public/locales/et/config/groups.json index 0967ef424b..e8c7956b5d 100644 --- a/web/public/locales/et/config/groups.json +++ b/web/public/locales/et/config/groups.json @@ -1 +1,73 @@ -{} +{ + "audio": { + "global": { + "detection": "Üldine tuvastamine", + "sensitivity": "Üldine tundlikkus" + }, + "cameras": { + "detection": "Tuvastamine", + "sensitivity": "Tundlikkus" + } + }, + "motion": { + "global": { + "sensitivity": "Üldine tundlikkus", + "algorithm": "Üldine algoritm" + }, + "cameras": { + "sensitivity": "Tundlikkus", + "algorithm": "Algoritm" + } + }, + "snapshots": { + "global": { + "display": "Üldine vaade" + }, + "cameras": { + "display": "Vaade" + } + }, + "timestamp_style": { + "global": { + "appearance": "Üldine välimus" + }, + "cameras": { + "appearance": "Välimus" + } + }, + "detect": { + "global": { + "resolution": "Üldine eraldusvõime", + "tracking": "Üldine jälgimine" + }, + "cameras": { + "resolution": "Eraldusvõime", + "tracking": "Jälgimine" + } + }, + "objects": { + "global": { + "filtering": "Üldine filtreerimine", + "tracking": "Üldine jälgimine" + }, + "cameras": { + "filtering": "Filtreerimine", + "tracking": "Jälgimine" + } + }, + "record": { + "global": { + "retention": "Üldine säilitamine", + "events": "Üldised sündmused" + }, + "cameras": { + "retention": "Säilitamine", + "events": "Sündmused" + } + }, + "ffmpeg": { + "cameras": { + "cameraFfmpeg": "Kaamerakohased FFmpegi argumendid" + } + } +} diff --git a/web/public/locales/et/config/validation.json b/web/public/locales/et/config/validation.json index 0967ef424b..ce014359a8 100644 --- a/web/public/locales/et/config/validation.json +++ b/web/public/locales/et/config/validation.json @@ -1 +1,32 @@ -{} +{ + "minimum": "Peab olema vähemalt {{limit}}", + "maximum": "Võib olla kuni {{limit}}", + "exclusiveMinimum": "Peab olema suurem, kui {{limit}}", + "exclusiveMaximum": "Peab olema väiksem, kui {{limit}}", + "minLength": "Peab olema vähemalt {{limit}} tähemärk(i) pikk", + "maxLength": "Võib olla kuni {{limit}} tähemärk(i) pikk", + "minItems": "Peab sisaldama vähemalt {{limit}} objekti", + "maxItems": "Võib sisaldada kuni {{limit}} objekti", + "pattern": "Vigane vorming", + "required": "See väli on kohustuslik", + "type": "Vigane väärtuse tüüp", + "enum": "Peab olema üks lubatud väärtustest", + "const": "Väärtus ei vasta eeldatud konstandile", + "uniqueItems": "Kõik väärtused peavad olema unikaalsed", + "format": "Vigane vorming", + "additionalProperties": "Tundmatu omadus pole lubatud", + "oneOf": "Peab vastama täpselt ühele lubatud skeemile", + "anyOf": "Peab vastama vähemalt ühele lubatud skeemile", + "proxy": { + "header_map": { + "roleHeaderRequired": "Kui rollide vastendused on seadistatud, siis rollide päis on nõutav." + } + }, + "ffmpeg": { + "inputs": { + "rolesUnique": "Iga rolli saad määrata ühele sisendvoole.", + "detectRequired": "„Tuvasta“ rollile pead määrama vähemalt ühe sisendvoo.", + "hwaccelDetectOnly": "Vaid „Tuvasta“ rolliga sisendvoog võib määratleda raudvaralise kiirenduse argumente." + } + } +} diff --git a/web/public/locales/et/objects.json b/web/public/locales/et/objects.json index 5cd7398b39..2e7e6c5aa5 100644 --- a/web/public/locales/et/objects.json +++ b/web/public/locales/et/objects.json @@ -121,5 +121,10 @@ "royal_mail": "Royal Mail", "school_bus": "Koolibuss", "skunk": "Vinukloom (skunk)", - "kangaroo": "Känguru" + "kangaroo": "Känguru", + "baby": "Väikelaps", + "baby_stroller": "Lapsevanker", + "rickshaw": "Rikša", + "Rodent": "Näriline", + "rodent": "Näriline" } diff --git a/web/public/locales/et/views/chat.json b/web/public/locales/et/views/chat.json new file mode 100644 index 0000000000..cf68fe1e85 --- /dev/null +++ b/web/public/locales/et/views/chat.json @@ -0,0 +1,9 @@ +{ + "documentTitle": "Frigate - vestlus tehisaruga", + "title": "Vestlus tehisaruga Frigate'is", + "subtitle": "Tehisaru abil töötav abiline kaamerate haldamiseks ja analüüside koostamiseks", + "placeholder": "Küsi mida iganes…", + "error": "Midagi läks valesti. Palun proovi uuesti.", + "processing": "Töötlen…", + "toolsUsed": "Kasutatud: {{tools}}" +} diff --git a/web/public/locales/et/views/events.json b/web/public/locales/et/views/events.json index 75e4a3d5ce..b8f0e3ff6d 100644 --- a/web/public/locales/et/views/events.json +++ b/web/public/locales/et/views/events.json @@ -34,7 +34,9 @@ "normalActivity": "Tavaline", "needsReview": "Vajab ülevaatamist", "securityConcern": "Võib olla turvaprobleem", - "timeline": "Ajajoon", + "timeline": { + "label": "Ajajoon" + }, "timeline.aria": "Vali ajajoon", "zoomIn": "Suumi sisse", "zoomOut": "Suumi välja", @@ -53,7 +55,9 @@ }, "documentTitle": "Ülevaatamine - Frigate", "recordings": { - "documentTitle": "Salvestised - Frigate" + "documentTitle": "Salvestised - Frigate", + "invalidSharedLink": "Töötlemisvea tõttu ei õnnestu avada ajatempliga salvestuse linki.", + "invalidSharedCamera": "Tundmatu või volituseta kaamera tõttu ei õnnestu avada ajatempliga salvestuse linki." }, "calendarFilter": { "last24Hours": "Viimased 24 tundi" @@ -61,5 +65,28 @@ "objectTrack": { "clickToSeek": "Klõpsa siia ajapunkti kerimiseks", "trackedPoint": "Jälgitav punkt" + }, + "motionSearch": { + "menuItem": "Liikumise otsing", + "openMenu": "Kaamera valikud" + }, + "motionPreviews": { + "menuItem": "Vaata liikumiste eelvaateid", + "title": "Liikumiste eelvaated: {{camera}}", + "mobileSettingsTitle": "Liikumiste eelvaadete seadistused", + "mobileSettingsDesc": "Kohenda taasesituse kiirust ja heledust ning vali kuupäev, et vaadata läbi ainult liikumist kajastavaid klipid.", + "dim": "Hämarus", + "dimAria": "Muuda hämarust", + "dimDesc": "Kohenda hämarust parandamaks liikumisala nähtavust.", + "speed": "Kiirus", + "speedAria": "Vali eelvaate taasesituse kiirus", + "speedDesc": "Määratle kiirus, millega eelvaate klippe näidatakse.", + "back": "Tagasi", + "empty": "Ühtegi eelvaadet pole saadaval", + "noPreview": "Eelvaade pole saadaval", + "seekAria": "Keri „{{camera}}“ kaamera vaade ajatempli juurde: {{time}}", + "filter": "Filtreeri", + "filterDesc": "Näitamaks ainult liikumisega klippe antud aladel, vali soovitud piirkonnad.", + "filterClear": "Tühjenda" } } diff --git a/web/public/locales/et/views/explore.json b/web/public/locales/et/views/explore.json index 1676f3ccdb..b3bdbef570 100644 --- a/web/public/locales/et/views/explore.json +++ b/web/public/locales/et/views/explore.json @@ -36,7 +36,10 @@ "ratio": "Suhtarv", "area": "Ala", "score": "Punktiskoor" - } + }, + "external": "{{label}} on tuvastatud", + "heard": "{{label}} on kuuldud", + "gone": "{{label}} on jäänud" }, "title": "Jälgimise üksikasjad", "noImageFound": "Selle ajatempli kohta ei leidu pilti.", @@ -44,7 +47,8 @@ "carousel": { "previous": "Eelmine slaid", "next": "Järgmine slaid" - } + }, + "count": "{{first}} / {{second}}" }, "documentTitle": "Avasta - Frigate", "generativeAI": "Generatiivne tehisaru", diff --git a/web/public/locales/et/views/faceLibrary.json b/web/public/locales/et/views/faceLibrary.json index 7e47792d45..64e8fb90e1 100644 --- a/web/public/locales/et/views/faceLibrary.json +++ b/web/public/locales/et/views/faceLibrary.json @@ -34,6 +34,11 @@ }, "details": { "timestamp": "Ajatampel", - "unknown": "Pole teada" + "unknown": "Pole teada", + "scoreInfo": "Skoor on kõigi nägude hindete kaalutud keskmine, kus kaalukoefitsiendiks on iga pildi näo suurus." + }, + "uploadFaceImage": { + "title": "Laadi näopilt üles", + "desc": "Laadi üles pilt, et otsida sellelt nägusid ja lisada see {{pageToggle}}'i jaoks" } } diff --git a/web/public/locales/et/views/live.json b/web/public/locales/et/views/live.json index 891568c4de..27f8ff3fd8 100644 --- a/web/public/locales/et/views/live.json +++ b/web/public/locales/et/views/live.json @@ -14,7 +14,9 @@ "autotracking": "Automaatne jälgimine", "recording": "Salvestus" }, - "documentTitle": "Otseülekanne - Frigate", + "documentTitle": { + "default": "Frigate reaalajas" + }, "documentTitle.withCamera": "{{camera}} - Otseülekanne - Frigate", "lowBandwidthMode": "Väikese ribalaiusega režiim", "twoWayTalk": { @@ -30,7 +32,8 @@ "clickMove": { "label": "Kaamerapildi joondamiseks keskele klõpsa kaadris", "enable": "Kasuta klõpsamisega teisaldamist", - "disable": "Ära kasuta klõpsamisega teisaldamist" + "disable": "Ära kasuta klõpsamisega teisaldamist", + "enableWithZoom": "Luba liigutamine klõpsuga / suumimine lohistamisega" }, "left": { "label": "Pööra liigutatavat kaamerat vasakule" @@ -78,7 +81,8 @@ }, "recording": { "enable": "Lülita salvestamine sisse", - "disable": "Lülita salvestamine välja" + "disable": "Lülita salvestamine välja", + "disabledInConfig": "Pead olema selle kaamera jaoks Seadistustest määranud salvestamise." }, "snapshots": { "enable": "Lülita hetkvõtted sisse", @@ -100,11 +104,18 @@ }, "audio": { "available": "Selles voogedastuses on heliriba saadaval", - "unavailable": "Selles voogedastuses pole heliriba saadaval" + "unavailable": "Selles voogedastuses pole heliriba saadaval", + "tips": { + "title": "Heli peab tulema sinu kaamerast ja selle voogedastuse jaoks peab see go2rtc-s olema seadistatud." + } }, "title": "Voogedastus", "lowBandwidth": { - "resetStream": "Lähtesta voogedastus" + "resetStream": "Lähtesta voogedastus", + "tips": "Reaalaja pilt on puhverdamise või voogedastuse vigade tõttu madala ribalaiusega režiimis." + }, + "debug": { + "picker": "Voogedastuse osa valik pole silumisrežiimis saadaval. Silumisvaade kasutab alati voogedastust, millele on määratud tuvastamisroll." } }, "notifications": "Teavitused", @@ -137,7 +148,15 @@ "showStats": { "label": "Näita statistikat", "desc": "Selle eelistuse puhul näidatakse voogedastuse statistikat kaamerapildi peal." - } + }, + "tips": "Laadi alla hetktõmmis või käivita käsitsi sündmus vastavalt selle kaamera salvestiste säilitamise seadistustele.", + "start": "Alusta tellimuspõhist salvestamist", + "started": "Alustasin käsitsi tellitavat salvestamist.", + "failedToStart": "Käsitsi tellitava salvestamise alustamine ei õnnestunud.", + "recordDisabledTips": "Kuna selle kaamera seadistustes on salvestamine keelatud või piiratud, siis salvestatakse ainult pilt.", + "end": "Lõpeta tellimuspõhine salvestamine", + "ended": "Lõpetasin käsitsi tellitava salvestamise.", + "failedToEnd": "Käsitsi tellitava salvestamise lõpetamine ei õnnestunud." }, "noCameras": { "buttonText": "Lisa kaamera", @@ -174,5 +193,8 @@ }, "history": { "label": "Näita varasemat sisu" + }, + "suspend": { + "forTime": "Peatamise aeg: " } } diff --git a/web/public/locales/et/views/motionSearch.json b/web/public/locales/et/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/et/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/et/views/replay.json b/web/public/locales/et/views/replay.json new file mode 100644 index 0000000000..2f80829a43 --- /dev/null +++ b/web/public/locales/et/views/replay.json @@ -0,0 +1,17 @@ +{ + "dialog": { + "camera": "Lähtekaamera", + "timeRange": "Ajavahemik", + "preset": { + "1m": "Viimase ühe minuti jooksul", + "5m": "Viimase viie minuti jooksul", + "timeline": "Ajajoonelt", + "custom": "Kohandatud" + }, + "startButton": "Käivita kordus", + "selectFromTimeline": "Vali", + "starting": "Käivitan kordust…", + "startLabel": "Algus", + "endLabel": "Lõpp" + } +} diff --git a/web/public/locales/et/views/search.json b/web/public/locales/et/views/search.json index 52b917d226..6780001fbe 100644 --- a/web/public/locales/et/views/search.json +++ b/web/public/locales/et/views/search.json @@ -9,7 +9,8 @@ "clear": "Tühjenda otsing", "save": "Salvesta otsing", "delete": "Kustuta salvestatud otsing", - "filterInformation": "Filtri teave" + "filterInformation": "Filtri teave", + "filterActive": "Filtreid valituna" }, "filter": { "label": { @@ -17,7 +18,23 @@ "cameras": "Kaamerad", "labels": "Sildid", "zones": "Tsoonid", - "sub_labels": "Alamsildid" + "sub_labels": "Alamsildid", + "attributes": "Omadused", + "search_type": "Otsingutüüp", + "time_range": "Ajavahemik", + "before": "Enne", + "after": "Pärast" + }, + "searchType": { + "thumbnail": "Pisipilt", + "description": "Kirjeldus" + }, + "toast": { + "error": { + "beforeDateBeLaterAfter": "„Enne“ kuupäev peab olema varasem, kui „Pärast“ kuupäev.", + "afterDatebeEarlierBefore": "„Pärast“ kuupäev peab olema hilisem, kui „Enne“ kuupäev." + } } - } + }, + "trackedObjectId": "Jälgitava objekti tunnus" } diff --git a/web/public/locales/fa/views/chat.json b/web/public/locales/fa/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/fa/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/fa/views/motionSearch.json b/web/public/locales/fa/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/fa/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/fa/views/replay.json b/web/public/locales/fa/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/fa/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/fi/common.json b/web/public/locales/fi/common.json index 5cebc89399..ea16d95d81 100644 --- a/web/public/locales/fi/common.json +++ b/web/public/locales/fi/common.json @@ -38,11 +38,12 @@ "s": "{{time}}s", "minute_one": "{{time}}minuutti", "minute_other": "{{time}}minuuttia", - "second_one": "{{time}}sekuntti", - "second_other": "{{time}}sekunttia", + "second_one": "{{time}} sekunti", + "second_other": "{{time}} sekuntia", "formattedTimestampHourMinute": { "24hour": "HH:mm" - } + }, + "never": "Ei koskaan" }, "pagination": { "next": { diff --git a/web/public/locales/fi/components/auth.json b/web/public/locales/fi/components/auth.json index f81993d86b..167310fd32 100644 --- a/web/public/locales/fi/components/auth.json +++ b/web/public/locales/fi/components/auth.json @@ -10,6 +10,7 @@ "loginFailed": "Kirjautuminen epäonnistui", "unknownError": "Tuntematon virhe. Tarkista logit.", "webUnknownError": "Tuntematon virhe. Tarkista konsolilogi." - } + }, + "firstTimeLogin": "Ensimmäistä kertaa kirjautumassa sisään? Tunnukset löytyvät Frigaten lokista." } } diff --git a/web/public/locales/fi/components/dialog.json b/web/public/locales/fi/components/dialog.json index 819e4a55ea..7466d85132 100644 --- a/web/public/locales/fi/components/dialog.json +++ b/web/public/locales/fi/components/dialog.json @@ -6,7 +6,8 @@ "title": "Fregatti käynnistyy uudelleen", "content": "Tämä sivu latautuu uudelleen {{countdown}} sekunnin kuluttua.", "button": "Pakota uudelleenlataus nyt" - } + }, + "description": "Tämä sammuttaa Frigaten lyhyeksi aikaa uudelleenkäynnistyksen ajaksi." }, "explore": { "plus": { diff --git a/web/public/locales/fi/components/player.json b/web/public/locales/fi/components/player.json index e40d8b1145..ecb35f78ee 100644 --- a/web/public/locales/fi/components/player.json +++ b/web/public/locales/fi/components/player.json @@ -4,7 +4,8 @@ "noRecordingsFoundForThisTime": "Ei tallenteita valitulta ajalta", "submitFrigatePlus": { "title": "Lähetä tämä kuva Frigate+:aan?", - "submit": "Lähetä" + "submit": "Lähetä", + "previewError": "Pysäytyskuvan esikatselua ei voi ladata. Tallenne ei ole ehkä saatavissa tällä hetkellä." }, "livePlayerRequiredIOSVersion": "iOS 17.1 tai uudempi vaaditaan tälle suoratoistotyypille.", "streamOffline": { diff --git a/web/public/locales/fi/config/cameras.json b/web/public/locales/fi/config/cameras.json index 0967ef424b..ac6cd5a49b 100644 --- a/web/public/locales/fi/config/cameras.json +++ b/web/public/locales/fi/config/cameras.json @@ -1 +1,22 @@ -{} +{ + "label": "Kamerakonfiguraatio", + "name": { + "label": "Kameran nimi", + "description": "Kameran nimi vaaditaan" + }, + "friendly_name": { + "label": "Kutsumanimi", + "description": "Kameran kutsumanimeä käytetään Frigaten käyttöliittymässä" + }, + "enabled": { + "description": "Käytössä" + }, + "audio": { + "label": "Ääni tapahtumat", + "description": "Äänipohjaisen havaitsemisen asetukset tälle kameralle.", + "enabled": { + "label": "Ota ääni havainnointi käyttöön", + "description": "Ota tai poista käytöstä ääni tapahtuman havaiseminen tälle kameralle." + } + } +} diff --git a/web/public/locales/fi/config/global.json b/web/public/locales/fi/config/global.json index 0967ef424b..fc3e5ac35c 100644 --- a/web/public/locales/fi/config/global.json +++ b/web/public/locales/fi/config/global.json @@ -1 +1,21 @@ -{} +{ + "version": { + "label": "Nykyinen konfigurointiversio" + }, + "safe_mode": { + "label": "Vikasietotila", + "description": "Kun käytössä, käynnistä Frigate vikasietotilassa rajoitetuilla ominaisuuksilla vianselvitystä varten." + }, + "logger": { + "label": "Lokitus", + "default": { + "label": "Lokituksen taso" + } + }, + "audio": { + "label": "Ääni tapahtumat", + "enabled": { + "label": "Ota ääni havainnointi käyttöön" + } + } +} diff --git a/web/public/locales/fi/config/groups.json b/web/public/locales/fi/config/groups.json index 0967ef424b..4e54fa92d5 100644 --- a/web/public/locales/fi/config/groups.json +++ b/web/public/locales/fi/config/groups.json @@ -1 +1,30 @@ -{} +{ + "audio": { + "global": { + "detection": "Globaali tunnistus", + "sensitivity": "Globaali herkkyys" + }, + "cameras": { + "detection": "Havaitseminen", + "sensitivity": "Herkkyys" + } + }, + "timestamp_style": { + "global": { + "appearance": "Globaali vaikutelma" + }, + "cameras": { + "appearance": "Vaikutelma" + } + }, + "motion": { + "global": { + "sensitivity": "Globaali herkkyys", + "algorithm": "Globaali algoritmi" + }, + "cameras": { + "sensitivity": "Herkkyys", + "algorithm": "Algoritmi" + } + } +} diff --git a/web/public/locales/fi/config/validation.json b/web/public/locales/fi/config/validation.json index 0967ef424b..a361e49c69 100644 --- a/web/public/locales/fi/config/validation.json +++ b/web/public/locales/fi/config/validation.json @@ -1 +1,13 @@ -{} +{ + "minimum": "Täytyy olla vähintään {{limit}}", + "maximum": "Täytyy olla korkeitaan {{limit}}", + "exclusiveMinimum": "Täytyy olla suurempi kuin {{limit}}", + "exclusiveMaximum": "Täytyy olla vähemmän kuin {{limit}}", + "minLength": "Täytyy olla vähintään {{limit}} merkkiä", + "maxLength": "Täytyy olla enintään {{limit}} merkkiä", + "minItems": "Täytyy olla vähintään {{limit}} kappaletta", + "maxItems": "Täytyy olla enintään {{limit}} kappaletta", + "pattern": "Väärä formaatti", + "required": "Tämä kenttä on pakollinen", + "type": "Väärä arvon tyyppi" +} diff --git a/web/public/locales/fi/views/chat.json b/web/public/locales/fi/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/fi/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/fi/views/classificationModel.json b/web/public/locales/fi/views/classificationModel.json index 477b0e2e91..554a664dd3 100644 --- a/web/public/locales/fi/views/classificationModel.json +++ b/web/public/locales/fi/views/classificationModel.json @@ -2,10 +2,16 @@ "documentTitle": "Luokittelumallit - Frigate", "details": { "scoreInfo": "Pistemäärä edustaa tämän objektin kaikkien havaintojen keskimääräistä luokitteluvarmuutta.", - "none": "Ei mitään" + "none": "Ei mitään", + "unknown": "Tuntematon" }, "button": { "deleteImages": "Poista kuvat", - "trainModel": "Kouluta malli" + "trainModel": "Kouluta malli", + "deleteClassificationAttempts": "Poista luokitellut kuvat", + "deleteCategory": "Poista luokka", + "addClassification": "Lisää luokitus", + "deleteModels": "Poista mallit", + "editModel": "Muokkaa mallia" } } diff --git a/web/public/locales/fi/views/events.json b/web/public/locales/fi/views/events.json index 57eb44a808..4be6cc1dab 100644 --- a/web/public/locales/fi/views/events.json +++ b/web/public/locales/fi/views/events.json @@ -1,9 +1,12 @@ { - "alerts": "Hälytyset", + "alerts": "Hälytykset", "empty": { "detection": "Ei havaintoja tarkastettavaksi", "motion": "Ei liiketietoja", - "alert": "Ei hälyytyksiä tarkastettavaksi" + "alert": "Ei hälyytyksiä tarkastettavaksi", + "recordingsDisabled": { + "title": "Tallenteet täytyy ottaa käyttöön" + } }, "detections": "Havainnot", "motion": { @@ -11,7 +14,9 @@ "only": "Vain liike" }, "allCameras": "Kaikki kamerat", - "timeline": "Aikajana", + "timeline": { + "label": "Aikajana" + }, "timeline.aria": "Valitse aikajana", "events": { "label": "Tapahtumat", diff --git a/web/public/locales/fi/views/exports.json b/web/public/locales/fi/views/exports.json index 22f39ceb11..7ba06ef0e9 100644 --- a/web/public/locales/fi/views/exports.json +++ b/web/public/locales/fi/views/exports.json @@ -8,13 +8,21 @@ } }, "noExports": "Ei vietyjä kohteita", - "deleteExport": "Poista viety kohde", + "deleteExport": { + "label": "Poista vienti" + }, "editExport": { "title": "Nimeä uudelleen", "desc": "Anna uusi nimi viedylle kohteelle.", "saveExport": "Tallenna vienti" }, "tooltip": { - "editName": "Muokkaa nimeä" + "editName": "Muokkaa nimeä", + "shareExport": "Jaa vienti", + "downloadVideo": "Lataa video" + }, + "headings": { + "cases": "Tapaukset", + "uncategorizedExports": "Kategorisoimattomat viennit" } } diff --git a/web/public/locales/fi/views/faceLibrary.json b/web/public/locales/fi/views/faceLibrary.json index dc69f36940..6e1872ba3b 100644 --- a/web/public/locales/fi/views/faceLibrary.json +++ b/web/public/locales/fi/views/faceLibrary.json @@ -2,7 +2,8 @@ "description": { "addFace": "Opastus: Uuden kokoelman lisääminen Kasvokirjastoon.", "invalidName": "Virheellinen nimi. Nimi voi sisältää vain merkkejä, numeroita, välejä, heittomerkkejä, alaviivoja ja väliviivoja.", - "placeholder": "Anna nimi kokoelmalle" + "placeholder": "Anna nimi kokoelmalle", + "nameCannotContainHash": "Nimi ei voi sisältää \"#\"." }, "uploadFaceImage": { "desc": "Lähetä kuva kasvojen tunnistukseen ja lisää se sivulle {{pageToggle}}", diff --git a/web/public/locales/fi/views/live.json b/web/public/locales/fi/views/live.json index d38703565a..93984cf502 100644 --- a/web/public/locales/fi/views/live.json +++ b/web/public/locales/fi/views/live.json @@ -1,5 +1,7 @@ { - "documentTitle": "Suora - Frigate", + "documentTitle": { + "default": "Suora - Frigate" + }, "documentTitle.withCamera": "{{camera}} - Suora - Frigate", "lowBandwidthMode": "Pienen kaistanleveyden tila", "twoWayTalk": { diff --git a/web/public/locales/fi/views/motionSearch.json b/web/public/locales/fi/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/fi/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/fi/views/replay.json b/web/public/locales/fi/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/fi/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/fi/views/settings.json b/web/public/locales/fi/views/settings.json index df2f2eb563..c988472abc 100644 --- a/web/public/locales/fi/views/settings.json +++ b/web/public/locales/fi/views/settings.json @@ -8,10 +8,12 @@ "general": "Yleiset asetukset - Frigate", "frigatePlus": "Frigate+ asetukset - Frigate", "object": "Virheenjäljitys - Frigate", - "authentication": "Autentikointiuasetukset - Frigate", + "authentication": "Autentikointiasetukset - Frigate", "notifications": "Ilmoitusasetukset - Frigate", "enrichments": "Laajennusasetukset – Frigate", - "cameraManagement": "Hallitse Kameroita - Frigate" + "cameraManagement": "Hallitse Kameroita - Frigate", + "globalConfig": "Globaali konfiguraatio - Frigate", + "cameraConfig": "Kamera konfiguraatio - Frigate" }, "menu": { "ui": "Käyttöliittymä", diff --git a/web/public/locales/fi/views/system.json b/web/public/locales/fi/views/system.json index 04952692e2..2bb08286dd 100644 --- a/web/public/locales/fi/views/system.json +++ b/web/public/locales/fi/views/system.json @@ -20,6 +20,10 @@ "fetchingLogsFailed": "Virhe noudettaessa lokeja: {{errorMessage}}", "whileStreamingLogs": "Virhe toistettaessa lokeja: {{errorMessage}}" } + }, + "websocket": { + "label": "Viestit", + "pause": "Pysäytä" } }, "documentTitle": { @@ -30,7 +34,8 @@ "logs": { "frigate": "Frigaten lokit - Frigate", "go2rtc": "Go2RTC lokit - Frigate", - "nginx": "Nginx lokit - Frigate" + "nginx": "Nginx lokit - Frigate", + "websocket": "Viestilokit - Frigate" } }, "title": "Järjestelmä", diff --git a/web/public/locales/fr/common.json b/web/public/locales/fr/common.json index 2ba13dd185..ff940a27d3 100644 --- a/web/public/locales/fr/common.json +++ b/web/public/locales/fr/common.json @@ -1,6 +1,6 @@ { "time": { - "untilForRestart": "Jusqu'au redémarrage de Frigate", + "untilForRestart": "Jusqu'à ce que Frigate redémarre.", "untilRestart": "Jusqu'au redémarrage", "untilForTime": "Jusqu'à {{time}}", "justNow": "À l'instant", @@ -139,7 +139,9 @@ "resetToDefault": "Réinitialiser aux réglages par défaut", "saveAll": "Tout enregistrer", "savingAll": "Enregistrement de tout en cours…", - "undoAll": "Tout annuler" + "undoAll": "Tout annuler", + "applying": "Enregistrement…", + "retry": "Réessayer" }, "menu": { "configuration": "Configuration", @@ -244,7 +246,10 @@ "faceLibrary": "Bibliothèque de visages", "languages": "Langues", "classification": "Classification", - "profiles": "Profils" + "profiles": "Profils", + "actions": "Actions", + "features": "Fonctionnalités", + "chat": "Discuter" }, "toast": { "save": { @@ -252,9 +257,10 @@ "error": { "noMessage": "Echec lors de l'enregistrement des changements de configuration", "title": "Échec de l'enregistrement des changements de configuration : {{errorMessage}}" - } + }, + "success": "Modifications enregistrées avec succès." }, - "copyUrlToClipboard": "URL copiée dans le presse-papiers" + "copyUrlToClipboard": "URL copiée dans le presse-papiers." }, "role": { "title": "Rôle", @@ -324,5 +330,7 @@ "two": "{{0}} et {{1}}", "many": "{{items}}, et {{last}}", "separatorWithSpace": ", " - } + }, + "no_items": "Aucun élément", + "validation_errors": "Erreurs de validation" } diff --git a/web/public/locales/fr/components/camera.json b/web/public/locales/fr/components/camera.json index 0e95c70e32..6204915d09 100644 --- a/web/public/locales/fr/components/camera.json +++ b/web/public/locales/fr/components/camera.json @@ -82,6 +82,7 @@ }, "boundingBox": "Cadre de détection", "zones": "Zones", - "regions": "Régions" + "regions": "Régions", + "paths": "Chemins" } } diff --git a/web/public/locales/fr/components/dialog.json b/web/public/locales/fr/components/dialog.json index a2accb9308..4465dcd449 100644 --- a/web/public/locales/fr/components/dialog.json +++ b/web/public/locales/fr/components/dialog.json @@ -80,7 +80,53 @@ }, "case": { "label": "Dossier", - "placeholder": "Sélectionner un dossier" + "placeholder": "Sélectionner un dossier", + "newCaseOption": "Créer un nouveau cas", + "newCaseNamePlaceholder": "Nouveau nom de cas", + "newCaseDescriptionPlaceholder": "Description de cas", + "nonAdminHelp": "Un nouveau cas sera créé pour ces exports." + }, + "queueing": "Mise en file d'attente de l'export...", + "tabs": { + "export": "Caméra unique", + "multiCamera": "Multi-caméra" + }, + "multiCamera": { + "timeRange": "Intervalle de temps", + "selectFromTimeline": "Sélectionner depuis la chronologie", + "cameraSelection": "Caméras", + "cameraSelectionHelp": "Les caméras avec des objets suivis dans cette intervalle sont pré-sélectionnées", + "checkingActivity": "Vérification de l'activité de la caméra...", + "noCameras": "Aucune caméra disponible", + "detectionCount_one": "{{count}} objet suivi", + "detectionCount_many": "{{count}} objets suivis", + "detectionCount_other": "{{count}} objets suivis", + "nameLabel": "Nom d'export", + "namePlaceholder": "Nom de base optionnel pour ces exports", + "queueingButton": "Mise en file d'attente des exports...", + "exportButton_one": "Exporter {{count}} caméra", + "exportButton_many": "Exporter {{count}} caméras", + "exportButton_other": "Exporter {{count}} caméras" + }, + "multi": { + "title_one": "Export {{count}} revue", + "title_many": "Export {{count}} revues", + "title_other": "Export {{count}} revues", + "description": "Export chaque revue sélectionnée. Tous les exports sont regroupés sous un cas unique.", + "descriptionNoCase": "Exporter chaque revue sélectionnée.", + "caseNamePlaceholder": "Vérification de l'export – {{date}}", + "exportButton_one": "Exporter {{count}} revue", + "exportButton_many": "Exporter {{count}} revues", + "exportButton_other": "Exporter {{count}} revues", + "exportingButton": "Exportation...", + "toast": { + "started_one": "Un export a démarré. Ouverture du dossier en cours", + "started_many": "{{count}} exports ont démarré. Ouverture du dossier en cours", + "started_other": "", + "startedNoCase_one": "Un export a démarré.", + "startedNoCase_many": "{{count}} exports ont démarré.", + "startedNoCase_other": "{{count}} exports ont démarré." + } } }, "search": { diff --git a/web/public/locales/fr/components/player.json b/web/public/locales/fr/components/player.json index 6450c12617..12e0108841 100644 --- a/web/public/locales/fr/components/player.json +++ b/web/public/locales/fr/components/player.json @@ -4,7 +4,8 @@ "noPreviewFound": "Aucun aperçu trouvé", "submitFrigatePlus": { "title": "Soumettre cette image à Frigate+ ?", - "submit": "Soumettre" + "submit": "Soumettre", + "previewError": "Impossible de télécharger le snapshot. L'enregistrement ne pas disponible sur cette période." }, "streamOffline": { "title": "Flux hors ligne", diff --git a/web/public/locales/fr/config/cameras.json b/web/public/locales/fr/config/cameras.json index ca00146dba..919ee6df89 100644 --- a/web/public/locales/fr/config/cameras.json +++ b/web/public/locales/fr/config/cameras.json @@ -78,8 +78,8 @@ "label": "Détection d'objets", "description": "Réglages pour la détection ou le rôle de détection utilisé pour exécuter la détection des objets et initialiser les traceurs.", "enabled": { - "label": "Détection activée", - "description": "Activer ou désactiver la détection des objets pour cette caméra. La détection doit être activée pour que le suivi des objets fonctionne." + "label": "Activer la détection d'objet", + "description": "Activer ou désactiver la détection des objets pour cette caméra." }, "height": { "label": "Hauteur de détection", @@ -299,6 +299,10 @@ }, "raw_mask": { "label": "Masque brut" + }, + "skip_motion_threshold": { + "label": "Ignorer le seuil de détection de mouvement", + "description": "Si une valeur entre 0,0 et 1,0 est définie, et que plus de cette fraction de l'image change en une seule trame, le détecteur ne retournera aucune zone de mouvement et se recalibrera immédiatement. Cela peut économiser du CPU et réduire les faux positifs lors d'éclairs, d'orages, etc., mais peut manquer des événements réels comme une caméra PTZ suivant automatiquement un objet. Le compromis est entre perdre quelques mégaoctets d'enregistrements ou visionner quelques courts clips. Laisser vide (None) pour désactiver cette fonctionnalité." } }, "objects": { @@ -312,9 +316,17 @@ "label": "Filtres d'objets", "description": "Filtres appliqués aux objets détectés afin de réduire les faux positifs (aire, rapport, facteur de confiance).", "min_area": { - "label": "Aire minimal de l'objet" + "label": "Aire minimal de l'objet", + "description": "Surface minimale de la boîte englobante (en pixels ou pourcentage) requise pour ce type d'objet. Peut être exprimée en pixels (entier) ou en pourcentage (flottant entre 0,000001 et 0,99)." + }, + "max_area": { + "label": "Zone d'objet maximum", + "description": "Zone de boite englobante maximum (pixels ou pourcentage) autorisée pour ce type d'objet. Peut être en pixels (entier) ou pourcentage (décimale entre 0,000001 and 0,99)." + }, + "min_ratio": { + "label": "Rapport d'aspect minimal" } } }, - "label": "ConfigurationCamera" + "label": "Configuration de la caméra" } diff --git a/web/public/locales/fr/config/global.json b/web/public/locales/fr/config/global.json index b3dd9d23ff..1108b2d1b7 100644 --- a/web/public/locales/fr/config/global.json +++ b/web/public/locales/fr/config/global.json @@ -1,7 +1,7 @@ { "version": { "label": "Version actuelle de la configuration", - "description": "Version numérique ou sous forme de chaîne de la configuration active, permettant de détecter les migrations ou les changements de format" + "description": "Version numérique ou textuelle de la configuration active, utilisée pour aider à détecter les migrations ou les changements de format." }, "safe_mode": { "label": "Mode sans échec", @@ -77,5 +77,40 @@ "path": { "label": "Chemin vers la base de donnée" } + }, + "genai": { + "provider": { + "label": "Fournisseur" + } + }, + "birdseye": { + "quality": { + "label": "Qualité d'encodage" + } + }, + "detect": { + "enabled": { + "label": "Activer la détection d'objet" + } + }, + "motion": { + "skip_motion_threshold": { + "label": "Ignorer le seuil de détection de mouvement", + "description": "Si une valeur entre 0,0 et 1,0 est définie, et que plus de cette fraction de l'image change en une seule trame, le détecteur ne retournera aucune zone de mouvement et se recalibrera immédiatement. Cela peut économiser du CPU et réduire les faux positifs lors d'éclairs, d'orages, etc., mais peut manquer des événements réels comme une caméra PTZ suivant automatiquement un objet. Le compromis est entre perdre quelques mégaoctets d'enregistrements ou visionner quelques courts clips. Laisser vide (None) pour désactiver cette fonctionnalité." + } + }, + "objects": { + "filters": { + "min_area": { + "description": "Surface minimale de la boîte englobante (en pixels ou pourcentage) requise pour ce type d'objet. Peut être exprimée en pixels (entier) ou en pourcentage (flottant entre 0,000001 et 0,99)." + }, + "max_area": { + "label": "Zone d'objet maximum", + "description": "Zone de boite englobante maximum (pixels ou pourcentage) autorisée pour ce type d'objet. Peut être en pixels (entier) ou pourcentage (décimale entre 0,000001 and 0,99)." + }, + "min_ratio": { + "label": "Rapport d'aspect minimal" + } + } } } diff --git a/web/public/locales/fr/config/validation.json b/web/public/locales/fr/config/validation.json index aa4acd887a..ac3853b8ff 100644 --- a/web/public/locales/fr/config/validation.json +++ b/web/public/locales/fr/config/validation.json @@ -1,6 +1,6 @@ { "minimum": "Doit être au moins de {{limit}}", - "maximum": "Ne doit pas dépasser {{limit}}", + "maximum": "Doit être au maximum {{limit}}", "exclusiveMinimum": "Doit être supérieur à {{limit}}", "exclusiveMaximum": "Doit être inférieur à {{limit}}", "minLength": "Doit contenir au moins {{limit}} caractère(s)", diff --git a/web/public/locales/fr/objects.json b/web/public/locales/fr/objects.json index 9c9d5a6cf3..fdd517c84c 100644 --- a/web/public/locales/fr/objects.json +++ b/web/public/locales/fr/objects.json @@ -116,5 +116,14 @@ "dining_table": "Table à manger", "vase": "Vase", "purolator": "Purolator", - "postnord": "PostNord" + "postnord": "PostNord", + "canada_post": "Poste du Canada", + "royal_mail": "Poste du Royaume Uni", + "school_bus": "Bus scolaire", + "skunk": "Mouffette", + "kangaroo": "Kangourou", + "baby": "Bébé", + "baby_stroller": "Poussette", + "rickshaw": "Pousse-pousse", + "Rodent": "Rongeur" } diff --git a/web/public/locales/fr/views/chat.json b/web/public/locales/fr/views/chat.json new file mode 100644 index 0000000000..72736b3d91 --- /dev/null +++ b/web/public/locales/fr/views/chat.json @@ -0,0 +1,22 @@ +{ + "documentTitle": "Messagerie - Frigate", + "title": "Messagerie Frigate", + "subtitle": "Votre assistant IA pour la gestion des camera et des aperçus", + "placeholder": "Posez moi toutes vos questions...", + "error": "Il y a eu un problème. Merci de bien vouloir réessayer.", + "processing": "Traitement en cours...", + "hideTools": "Masquer les outils", + "call": "Appeler", + "result": "Résultat", + "arguments": "Arguments :", + "response": "Réponse :", + "attachment_chip_label": "{{label}} sur {{camera}}", + "attachment_chip_remove": "Supprimer la pièce jointe", + "open_in_explore": "Ouvrir dans l'explorateur", + "attach_event_aria": "Attacher l'événement {{eventId}}", + "attachment_picker_paste_label": "Ou coller l'event ID", + "attachment_picker_placeholder": "Attacher un événement", + "quick_reply_find_similar": "Trouver des observations similaires", + "no_similar_objects_found": "Aucun objet similaire trouvé.", + "semantic_search_required": "La recherche sémantique doit être activée afin de trouver un objet similaire." +} diff --git a/web/public/locales/fr/views/explore.json b/web/public/locales/fr/views/explore.json index 6379364508..6c116ef9c1 100644 --- a/web/public/locales/fr/views/explore.json +++ b/web/public/locales/fr/views/explore.json @@ -113,7 +113,8 @@ "attributes": "Attributs de classification", "title": { "label": "Titre" - } + }, + "scoreInfo": "Information score" }, "type": { "details": "détails", @@ -222,12 +223,22 @@ "downloadCleanSnapshot": { "label": "Télécharger l'instantané vierge", "aria": "Télécharger l'instantané vierge" + }, + "debugReplay": { + "label": "Relecture de débogage", + "aria": "Visualiser cet objet suivi dans la vue de la session de relecture de déboggage" + }, + "more": { + "aria": "Plus" } }, "dialog": { "confirmDelete": { "title": "Confirmer la suppression", "desc": "La suppression de cet objet suivi supprime l'instantané, les embeddings enregistrés et les entrées du cycle de vie de l'objet associé. Les images enregistrées de cet objet suivi dans la vue Chronologie NE seront PAS supprimées.

    Êtes-vous sûr de vouloir continuer ?" + }, + "toast": { + "error": "Une erreur est survenue lors de la suppression de cet objet suivi : {{errorMessage}}" } }, "noTrackedObjects": "Aucun objet suivi trouvé", @@ -278,7 +289,10 @@ "zones": "Zones", "ratio": "Ratio", "area": "Surface", - "score": "Score" + "score": "Score", + "computedScore": "Score calculé", + "topScore": "Meilleur score", + "toggleAdvancedScores": "Afficher/masquer les scores avancés" } }, "annotationSettings": { diff --git a/web/public/locales/fr/views/exports.json b/web/public/locales/fr/views/exports.json index 9e26a27e57..f182eb60ec 100644 --- a/web/public/locales/fr/views/exports.json +++ b/web/public/locales/fr/views/exports.json @@ -35,5 +35,10 @@ "newCaseOption": "Créer un nouveau dossier", "nameLabel": "Nom du dossier", "descriptionLabel": "Description" + }, + "deleteCase": { + "desc": "Êtes-vous sûr de vouloir supprimer {{caseName}}?", + "descKeepExports": "Les exports seront disponibles comme exports non catégorisés.", + "deleteExports": "Supprimer aussi les exports" } } diff --git a/web/public/locales/fr/views/faceLibrary.json b/web/public/locales/fr/views/faceLibrary.json index 83138d7eca..e61bfe9a2c 100644 --- a/web/public/locales/fr/views/faceLibrary.json +++ b/web/public/locales/fr/views/faceLibrary.json @@ -67,7 +67,8 @@ "deletedFace_many": "{{count}} visages supprimés avec succès", "deletedFace_other": "{{count}} visages supprimés avec succès", "trainedFace": "Visage entraîné avec succès", - "renamedFace": "Visage renommé avec succès en {{name}}" + "renamedFace": "Visage renommé avec succès en {{name}}", + "reclassifiedFace": "Visage reclassifié avec succès." }, "error": { "uploadingImageFailed": "Échec du téléversement de l'image : {{errorMessage}}", @@ -76,7 +77,8 @@ "updateFaceScoreFailed": "Échec de la mise à jour du score du visage : {{errorMessage}}", "addFaceLibraryFailed": "Échec de l'attribution du nom au visage : {{errorMessage}}", "deleteNameFailed": "Échec de la suppression du nom : {{errorMessage}}", - "renameFaceFailed": "Échec du changement de nom du visage : {{errorMessage}}" + "renameFaceFailed": "Échec du changement de nom du visage : {{errorMessage}}", + "reclassifyFailed": "Échec de la reclassification du visage : {{errorMessage}}" } }, "trainFaceAs": "Entraîner le visage comme :", @@ -101,5 +103,7 @@ "desc_other": "Êtes-vous sûr de vouloir supprimer {{count}} visages ? Cette action est irréversible." }, "nofaces": "Aucun visage disponible", - "pixels": "{{area}} pixels" + "pixels": "{{area}} pixels", + "reclassifyFaceAs": "Reclassifier le visage en :", + "reclassifyFace": "Reclassifier le visage" } diff --git a/web/public/locales/fr/views/motionSearch.json b/web/public/locales/fr/views/motionSearch.json new file mode 100644 index 0000000000..5f47e9942a --- /dev/null +++ b/web/public/locales/fr/views/motionSearch.json @@ -0,0 +1,41 @@ +{ + "documentTitle": "Recherche de mouvement - Frigate", + "title": "Recherche de mouvement", + "description": "Dessinez un polygone pour définir la zonecible, et spécifiez une fourchette de temps pour chercher les mouvements dans cette zone.", + "selectCamera": "Recherche de mouvement en cours de chargement", + "startSearch": "Commencer la recherche", + "searchStarted": "Recherche démarrée", + "searchCancelled": "Recherche annulée", + "cancelSearch": "Annuler recherche", + "searching": "Recherche en cours.", + "searchComplete": "Recherche terminée", + "noResultsYet": "Lancez une recherche pour trouver les changements de mouvement dans la zone sélectionnée", + "noChangesFound": "Aucun changement de pixel détecté dans la zone sélectionnée", + "changesFound_one": "{{count}} changement de mouvement détecté", + "changesFound_many": "{{count}} changements de mouvement détectés", + "changesFound_other": "{{count}} changements de mouvement détectés", + "framesProcessed": "{{count}} images traitées", + "jumpToTime": "Aller à ce moment", + "results": "Résultats", + "showSegmentHeatmap": "Carte thermique", + "newSearch": "Nouvelle recherche", + "clearResults": "Effacer les résultats", + "clearROI": "Effacer le polygone", + "polygonControls": { + "points_one": "{{count}} point", + "points_many": "{{count}} points", + "points_other": "{{count}} points", + "undo": "Annuler le dernier point", + "reset": "Réinitialiser le polygone" + }, + "motionHeatmapLabel": "Carte thermique des mouvements", + "dialog": { + "title": "Recherche de mouvement", + "cameraLabel": "Caméra", + "previewAlt": "Aperçu de la caméra {{camera}}" + }, + "timeRange": { + "title": "Plage de recherche", + "start": "Plage de recherche" + } +} diff --git a/web/public/locales/fr/views/replay.json b/web/public/locales/fr/views/replay.json new file mode 100644 index 0000000000..abafbe755f --- /dev/null +++ b/web/public/locales/fr/views/replay.json @@ -0,0 +1,33 @@ +{ + "title": "Debug - Rejouer", + "description": "Rejouer les enregistrement de la camera, à but de débogage. La liste d'objets montre un résumé avec retard des objets détectés; et l'onglet Messages montre le flux des messages internes à Frigate liés à la vidéo rejouée.", + "websocket_messages": "Messages", + "dialog": { + "title": "Démarrer le Rejeu-Debogage", + "timeRange": "Intervalle", + "preset": { + "1m": "Dernière minute", + "5m": "5 dernières minutes", + "timeline": "Depuis la chronologie", + "custom": "Personnalisé" + }, + "startButton": "Démarrer le revisionnage", + "selectFromTimeline": "Sélectionner", + "starting": "Démarrage du revisionnage...", + "startLabel": "Démarrer", + "endLabel": "Fin", + "toast": { + "error": "Echec du démarrage du revisionnage de déboggage : {{error}}", + "alreadyActive": "Une session de revisionnage est déjà active", + "stopError": "Echec de l'arrêt du revisionnage de déboggage : {{error}}", + "goToReplay": "Vers le revisionnage" + } + }, + "page": { + "noSession": "Aucune session de revisionnage de déboggage active", + "noSessionDesc": "Démarrer un revisionnage de déboggage depuis l'Historique en cliquant sur le boutons Actions dans la barre d'outils et choisir Revisionnage de déboggage.", + "goToRecordings": "Vers l'historique", + "preparingClip": "Préparation du clip…", + "preparingClipDesc": "Frigate est encore en train de recoller les enregistrements pour l'intervalle de temps sélectionnée. Cela peut prendre une minute pour les plus longues intervalles." + } +} diff --git a/web/public/locales/fr/views/settings.json b/web/public/locales/fr/views/settings.json index c9b3ccb87c..3a45a6ef9c 100644 --- a/web/public/locales/fr/views/settings.json +++ b/web/public/locales/fr/views/settings.json @@ -89,7 +89,8 @@ "cameraMqtt": "MQTT de la caméra", "maintenance": "Maintenance", "uiSettings": "Paramètres IU", - "profiles": "Profils" + "profiles": "Profils", + "systemGo2rtcStreams": "Streams go2rtc" }, "dialog": { "unsavedChanges": { @@ -448,6 +449,17 @@ "error": { "mustBeGreaterOrEqualTo": "Le seuil de vitesse doit être supérieur ou égal à 0.1." } + }, + "id": { + "error": { + "mustNotBeEmpty": "L'ID ne doit pas être vide.", + "alreadyExists": "Un masque avec cet ID existe déjà pour cette caméra." + } + }, + "name": { + "error": { + "mustNotBeEmpty": "Le nom ne doit pas être vide." + } } }, "zones": { @@ -572,7 +584,11 @@ }, "restart_required": "Redémarrage requis (masques/zones changés)", "objectMaskLabel": "Masque d'objet {{number}}", - "motionMaskLabel": "Masque de mouvement {{number}}" + "motionMaskLabel": "Masque de mouvement {{number}}", + "disabledInConfig": "Cet objet est désactivé dans le fichier de configuration", + "addDisabledProfile": "Ajouter dans la configuration de base d’abord puis remplacez le dans le profil", + "profileBase": "(base)", + "profileOverride": "(remplacer)" }, "motionDetectionTuner": { "title": "Réglage de la détection de mouvement", @@ -1308,7 +1324,11 @@ "backToSettings": "Retour aux paramètres de la caméra", "streams": { "title": "Activer / désactiver les caméras", - "desc": "Désactive temporairement une caméra jusqu'au redémarrage de Frigate. La désactivation d'une caméra interrompt complètement le traitement des flux de la caméra par Frigate. La détection, l'enregistrement et le débogage deviennent alors indisponibles.
    Remarque : cela n'affecte pas les rediffusions des flux go2rtc." + "desc": "Désactive temporairement une caméra jusqu'au redémarrage de Frigate. La désactivation d'une caméra interrompt complètement le traitement des flux de la caméra par Frigate. La détection, l'enregistrement et le débogage deviennent alors indisponibles.
    Remarque : cela n'affecte pas les rediffusions des flux go2rtc.", + "enableLabel": "Caméras activées", + "disableLabel": "Caméra désactivées", + "disableDesc": "Activer une caméra qui n'est pas visible dans l'interface et désactivée dans la configuration. Un redémarrage de Frigate est nécessaire après l'activation.", + "enableSuccess": "Activer {{cameraName}} dans la configuration. Redémarrer Frigate pour appliquer les changements." }, "cameraConfig": { "add": "Ajouter une caméra", @@ -1338,6 +1358,25 @@ "toast": { "success": "La caméra {{cameraName}} a été enregistrée avec succès" } + }, + "deleteCamera": "Supprimer la caméra", + "deleteCameraDialog": { + "title": "Supprimer la caméra", + "description": "Supprimer la caméra va supprimer de façon permanente les enregistrements, les objets suivis, et la configuration de la caméra. Tous les streams go2rtc associés à la caméra devront être supprimés manuellement.", + "selectPlaceholder": "Choisir une caméra...", + "confirmTitle": "Êtes-vous sûr?", + "confirmWarning": "Supprimer \n{{cameraName}}\n ne peut être annulé.", + "deleteExports": "Supprimer aussi les exports de cette caméra", + "confirmButton": "Suppression permanente", + "success": "Caméra {{cameraName}} supprimée avec succès", + "error": "Impossible de supprimer la caméra {{cameraName}}" + }, + "profiles": { + "selectLabel": "Choisir un profil", + "description": "Configurer quelles caméras sont activées ou désactivées quand un profil est activé. Les caméras activées avec \"Inherit\" conservent leur statut de base.", + "inherit": "Hériter", + "enabled": "Activé", + "disabled": "Désactivé" } }, "cameraReview": { @@ -1392,6 +1431,9 @@ "value": { "label": "Nouvelle valeur", "reset": "Réinitialiser" + }, + "profile": { + "label": "Profil" } }, "button": { @@ -1405,5 +1447,115 @@ "sync": { "title": "Synchronisation du Média" } - } + }, + "configMessages": { + "lpr": { + "vehicleNotTracked": "La reconnaissance de plaque d'immatriculation requiert que 'voiture' ou 'moto' soit suivi.", + "globalDisabled": "La reconnaissance de numéro d'immatriculation n'est pas activée au niveau global. Activez-la dans les paramètres globaux pour que la reconnaissance de plaques fonctionne au niveau caméra." + }, + "review": { + "recordDisabled": "L'enregistrement est désactivé, aucune révision ne sera générée.", + "detectDisabled": "La détection d'objet est désactivée. Les révisions requièrent que les objets détectés catégorisent les alertes et les détections.", + "allNonAlertDetections": "Toutes les activités de non alerte seront incluses en tant que détections." + }, + "audio": { + "noAudioRole": "Aucun flux ne possède de rôle audio défini. Vous devez activer le rôle audio afin de faire fonctionner la détection audio." + }, + "audioTranscription": { + "audioDetectionDisabled": "La détection audio n'est pas active pour cette caméra. La transcription audio nécessite que la détection audio soit active." + }, + "detect": { + "fpsGreaterThanFive": "Il n'est pas recommandé de régler la détection au-delà de 5 FPS." + }, + "faceRecognition": { + "globalDisabled": "La reconnaissance faciale n'est pas activée au niveau global. Activez-la dans les paramètres globaux pour que la reconnaissance faciale fonctionne au niveau caméra.", + "personNotTracked": "La reconnaissance faciale requiert que l'objet 'person' soit suivie. Assurez-vous que 'person' soit dans la liste d'objets suivis." + } + }, + "go2rtcStreams": { + "ffmpeg": { + "audioMp3": "Transcoder en PM3", + "audioExclude": "Exclure", + "hardwareNone": "Pas d'accélération matérielle", + "hardwareAuto": "Accélération matérielle automatique", + "audioCopy": "Copier", + "audioAac": "Transcoder en AAC", + "audioOpus": "Transcoder vers Opus", + "audioPcmu": "Transcoder vers PCM μ-law", + "video": "Vidéo", + "audio": "Audio", + "hardware": "Accélération matérielle", + "videoCopy": "Copier", + "videoH264": "Transcoder vers H.264", + "videoH265": "Transcoder vers H.265", + "videoExclude": "Exclure", + "useFfmpegModule": "Utiliser le mode de compatibilité (ffmpeg)", + "audioPcma": "Transcoder vers PCM A-law", + "audioPcm": "Transcoder vers PCM" + }, + "renameStream": "Renommer le flux", + "renameStreamDesc": "Saisir un nouveau nom pour ce flux. Le renommage d'un flux peut induire un problème avec les caméras ou les autres flux qui le référence par nom.", + "addStream": "Ajouter un flux", + "title": "Flux go2rtc", + "description": "Gérer les paramètres de flux go2rtc pour la rediffusion de caméra. Chaque flux possède un nom et une ou plusieurs URLs source.", + "deleteStream": "Supprimer flux", + "deleteStreamConfirm": "Êtes-vous sûr de vouloir supprimer le flux \"{{streamName}}\" ? Les caméras qui référencent ce flux pourraient ne plus fonctionner.", + "noStreams": "Aucun flux go2rtc configuré. Ajoutez un flux pour commencer.", + "validation": { + "nameRequired": "Le nom de flux est obligatoire", + "nameDuplicate": "Un flux avec ce nom existe déjà", + "nameInvalid": "Le nom de flux ne peut contenir que des lettres, nombres, underscores et tirets", + "urlRequired": "Au moins une URL est requise" + }, + "newStreamName": "Nouveau nom de flux", + "addUrl": "Ajouter URL", + "streamName": "Nom de flux", + "streamNamePlaceholder": "p. ex., porte_entree", + "streamUrlPlaceholder": "p. ex., rtsp://utilisateur:motpasse@192.168.1.100/flux", + "addStreamDesc": "Saisir un nom pour ce nouveau flux. Ce nom sera utilisé pour référencer le flux dans les paramètres de votre caméra." + }, + "onvif": { + "profileAuto": "Automatique", + "profileLoading": "Chargement des profils..." + }, + "profiles": { + "enableSwitch": "Activer les profils", + "enabledDescription": "Les profils sont actifs. Créer un nouveau profil ci-dessous, naviguer vers la section de configuration de la caméra afin de faire vos changements, et les sauvegarder afin de les prendre en compte.", + "error": { + "mustBeAtLeastTwoCharacters": "Doit comporter au moins 2 caractères", + "mustNotContainPeriod": "Ne doit pas contenir de points", + "alreadyExists": "Un profil avec cet identifiant existe déjà" + }, + "deactivated": "Profil désactivé", + "noProfiles": "Aucun profil défini.", + "noOverrides": "Aucune surcharge", + "cameraCount_one": "{{count}} caméra", + "cameraCount_many": "{{count}} caméras", + "cameraCount_other": "{{count}} caméras", + "columnCamera": "Caméra", + "columnOverrides": "Surcharges de profil", + "baseConfig": "Configuration de base", + "addProfile": "Ajouter un profil", + "newProfile": "Nouveau profil", + "friendlyNameLabel": "Nom profil", + "profileIdLabel": "ID profil", + "profileIdDescription": "Identifiant interne utilisé dans la configuration et automatisations", + "nameInvalid": "Ne sont autorisés que les lettres minuscules, nombres et underscores", + "nameDuplicate": "Un profil avec ce nom existe déjà", + "renameProfile": "Renommer profil", + "renameSuccess": "Profil renommé en '{{profile}}'", + "deleteProfile": "Supprimer Profil", + "deleteProfileConfirm": "Supprimer profil \"{{profile}}\" de toutes les caméras ? Ceci ne peut être annulé.", + "deleteSuccess": "Le profil '{{profile}}' a été supprimé", + "createSuccess": "Le profil '{{profile}}' a été créé", + "removeOverride": "Supprimer le profil surchargé", + "deleteSection": "Supprimer la section de surcharges", + "deleteSectionConfirm": "Supprimer les surcharges de {{section}} pour le profil {{profile}} sur {{camera}} ?", + "deleteSectionSuccess": "Surcharges de {{section}} supprimées pour {{profile}}", + "disabledDescription": "Les profils vous permettent de définir des ensembles nommés de surcharges de configuration de caméra (p. ex. armé, absent, nuit) qui peuvent être activés à la demande." + }, + "unsavedChanges": "Vous avez des changements non sauvegardés", + "confirmReset": "Confirmer réinitialisation", + "resetToDefaultDescription": "Cela va réinitialiser les paramètres dans cette section avec les valeurs d'usine. Cette action ne peut être annulée.", + "resetToGlobalDescription": "Ceci va réinitialiser les paramètres de cette section vers les paramètres globaux. Cette action ne peut être annulée." } diff --git a/web/public/locales/fr/views/system.json b/web/public/locales/fr/views/system.json index f29b871707..74394a324a 100644 --- a/web/public/locales/fr/views/system.json +++ b/web/public/locales/fr/views/system.json @@ -111,7 +111,8 @@ "description": "Il s'agit d'un bug connu de l'outil de statistiques GPU d'Intel (intel_gpu_top) : il peut afficher à tort une utilisation de 0 %, même lorsque l'accélération matérielle et la détection d'objets fonctionnent correctement sur l'iGPU. Ce problème ne vient pas de Frigate. Vous pouvez redémarrer l'hôte pour rétablir temporairement l'affichage et confirmer le fonctionnement du GPU. Les performances ne sont pas affectées." }, "gpuTemperature": "Température du GPU", - "npuTemperature": "Température du NPU" + "npuTemperature": "Température du NPU", + "gpuCompute": "Calcul / Encodage GPU" }, "otherProcesses": { "title": "Autres processus", @@ -148,7 +149,11 @@ "overview": "Vue d'ensemble", "shm": { "title": "Allocation de mémoire partagée SHM", - "warning": "La taille actuelle de la SHM de {{total}} Mo est trop petite. Augmentez-la au moins à {{min_shm}} Mo." + "warning": "La taille actuelle de la SHM de {{total}} Mo est trop petite. Augmentez-la au moins à {{min_shm}} Mo.", + "frameLifetime": { + "title": "Durée de vie de la trame", + "description": "Chaque caméra dispose de {{frames}} emplacements de trames en mémoire partagée. À la fréquence d'images de la caméra la plus rapide, chaque trame est disponible pendant environ {{lifetime}}s avant d'être écrasée." + } } }, "cameras": { @@ -185,7 +190,8 @@ "cameraCapture": "{{camName}} capture", "cameraDetect": "{{camName}} détection", "cameraFramesPerSecond": "{{camName}} images par seconde", - "cameraDetectionsPerSecond": "{{camName}} détections par seconde" + "cameraDetectionsPerSecond": "{{camName}} détections par seconde", + "cameraGpu": "GPU {{camName}}" }, "overview": "Vue d'ensemble", "toast": { @@ -217,7 +223,8 @@ "cameraIsOffline": "{{camera}} est hors ligne", "detectIsSlow": "{{detect}} est lent ({{speed}} ms)", "detectIsVerySlow": "{{detect}} est très lent ({{speed}} ms)", - "shmTooLow": "L'allocation /dev/shm ({{total}} Mo) devrait être augmentée à au moins {{min}} Mo." + "shmTooLow": "L'allocation /dev/shm ({{total}} Mo) devrait être augmentée à au moins {{min}} Mo.", + "debugReplayActive": "Session de relecture de débogage active" }, "enrichments": { "title": "Enrichissements", diff --git a/web/public/locales/gl/views/chat.json b/web/public/locales/gl/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/gl/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/gl/views/motionSearch.json b/web/public/locales/gl/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/gl/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/gl/views/replay.json b/web/public/locales/gl/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/gl/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/he/views/chat.json b/web/public/locales/he/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/he/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/he/views/motionSearch.json b/web/public/locales/he/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/he/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/he/views/replay.json b/web/public/locales/he/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/he/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hi/views/chat.json b/web/public/locales/hi/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hi/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hi/views/motionSearch.json b/web/public/locales/hi/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hi/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hi/views/replay.json b/web/public/locales/hi/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hi/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hr/audio.json b/web/public/locales/hr/audio.json index 55d1e5fce5..8531e48d8d 100644 --- a/web/public/locales/hr/audio.json +++ b/web/public/locales/hr/audio.json @@ -11,7 +11,7 @@ "laughter": "Smijeh", "train": "Vlak", "snicker": "Smješkanje", - "boat": "ÄŒamac", + "boat": "Brod", "crying": "Plakanje", "singing": "Pjevanje", "choir": "Zbor", @@ -350,7 +350,7 @@ "microwave_oven": "Mikrovalna pećnica", "water_tap": "Vodovodna slavina", "bathtub": "Kada", - "toilet_flush": "Ispiranje WC-a", + "toilet_flush": "Ispiranje toaleta", "electric_toothbrush": "Električna četkica za zube", "vacuum_cleaner": "Usisavač", "zipper": "Patentni zatvarač", diff --git a/web/public/locales/hr/common.json b/web/public/locales/hr/common.json index 68b1cb41f0..8206a7d3ba 100644 --- a/web/public/locales/hr/common.json +++ b/web/public/locales/hr/common.json @@ -22,11 +22,11 @@ "pm": "pm", "am": "am", "ago": "prije {{timeAgo}}", - "yr": "{{time}}g.", + "yr": "{{time}}g", "year_one": "{{time}} godina", "year_few": "{{time}} godine", "year_other": "{{time}} godina", - "mo": "{{time}}mj.", + "mo": "{{time}}mj", "month_one": "{{time}} mjesec", "month_few": "{{time}} mjeseca", "month_other": "{{time}} mjeseci", diff --git a/web/public/locales/hr/config/cameras.json b/web/public/locales/hr/config/cameras.json index 0967ef424b..1ffab63889 100644 --- a/web/public/locales/hr/config/cameras.json +++ b/web/public/locales/hr/config/cameras.json @@ -1 +1,3 @@ -{} +{ + "label": "Konfiguracijakamere" +} diff --git a/web/public/locales/hr/config/global.json b/web/public/locales/hr/config/global.json index 0967ef424b..9a3929845d 100644 --- a/web/public/locales/hr/config/global.json +++ b/web/public/locales/hr/config/global.json @@ -1 +1,5 @@ -{} +{ + "version": { + "label": "Trenutna verzija konfiguracije" + } +} diff --git a/web/public/locales/hr/config/groups.json b/web/public/locales/hr/config/groups.json index 0967ef424b..fd99a882c1 100644 --- a/web/public/locales/hr/config/groups.json +++ b/web/public/locales/hr/config/groups.json @@ -1 +1,7 @@ -{} +{ + "audio": { + "global": { + "detection": "Globalna detekcija" + } + } +} diff --git a/web/public/locales/hr/objects.json b/web/public/locales/hr/objects.json index 955ebe0cd7..b27b693e1f 100644 --- a/web/public/locales/hr/objects.json +++ b/web/public/locales/hr/objects.json @@ -6,7 +6,7 @@ "airplane": "Zrakoplov", "bus": "Autobus", "train": "Vlak", - "boat": "ÄŒamac", + "boat": "Brod", "traffic_light": "Semafor", "fire_hydrant": "Hidrant", "street_sign": "Prometni znak", diff --git a/web/public/locales/hr/views/chat.json b/web/public/locales/hr/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hr/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hr/views/live.json b/web/public/locales/hr/views/live.json index 9fce430f57..a60f87cd51 100644 --- a/web/public/locales/hr/views/live.json +++ b/web/public/locales/hr/views/live.json @@ -1,5 +1,7 @@ { - "documentTitle": "Uživo - Frigate", + "documentTitle": { + "default": "Uživo - Frigate" + }, "documentTitle.withCamera": "{{camera}} - Uživo - Frigate", "twoWayTalk": { "enable": "Omogući dvosmjerni razgovor", diff --git a/web/public/locales/hr/views/motionSearch.json b/web/public/locales/hr/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hr/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hr/views/replay.json b/web/public/locales/hr/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hr/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hu/common.json b/web/public/locales/hu/common.json index 6e5df9f1de..fdebbf0e9a 100644 --- a/web/public/locales/hu/common.json +++ b/web/public/locales/hu/common.json @@ -178,7 +178,8 @@ "configuration": "Konfiguráció", "systemLogs": "Rendszer naplók", "settings": "Beállítások", - "classification": "Osztályozás" + "classification": "Osztályozás", + "profiles": "Profilok" }, "role": { "viewer": "Néző", @@ -273,7 +274,8 @@ "export": "Exportálás", "deleteNow": "Törlés Most", "next": "Következő", - "continue": "Tovább" + "continue": "Tovább", + "add": "Hozzáad" }, "label": { "back": "Vissza", diff --git a/web/public/locales/hu/components/player.json b/web/public/locales/hu/components/player.json index 31ee991378..1e420ed309 100644 --- a/web/public/locales/hu/components/player.json +++ b/web/public/locales/hu/components/player.json @@ -3,7 +3,8 @@ "noPreviewFound": "Nincs elérhető előkép", "submitFrigatePlus": { "title": "Elküldi ezt a képet a Frigate+-nak?", - "submit": "Küldés" + "submit": "Küldés", + "previewError": "Nem sikerült betölteni a pillanatkép előnézetét. Előfordulhat, hogy a felvétel jelenleg nem elérhető." }, "noPreviewFoundFor": "Nem található előnézet {{cameraName}}-hoz/-hez/-höz", "livePlayerRequiredIOSVersion": "iOS 17.1 vagy újabb szükséges ehhez az élő adás típushoz.", diff --git a/web/public/locales/hu/config/cameras.json b/web/public/locales/hu/config/cameras.json index e228cd9786..5bc97239a6 100644 --- a/web/public/locales/hu/config/cameras.json +++ b/web/public/locales/hu/config/cameras.json @@ -39,6 +39,41 @@ "description": "A Frigate felhasználói felületén használt, könnyen megjegyezhető kamera név" }, "enabled": { - "label": "Engedélyezve" + "label": "Engedélyezve", + "description": "Engedélyezve" + }, + "audio": { + "label": "Hangesemények", + "description": "Hangalapú eseményérzékelés beállításai ennél a kameránál.", + "enabled": { + "label": "Hangalapú eseményérzékelés engedélyezése", + "description": "A hangalapú eseményérzékelés engedélyezése vagy letiltása ennél a kameránál." + }, + "max_not_heard": { + "description": "Ennyi másodperc után fejeződik be a hangesemény, ha a beállított hangtípus nem észlelhető.", + "label": "Időtúllépés befejezése" + }, + "min_volume": { + "label": "Minimális hangerő", + "description": "Minimum RMS hangerő a hangérzékelés futtatásához; az alacsonyabb értékek növelik az érzékenységet (pl: 200 magas, 500 közepes, 1000 alacsony érzékenységet jelent)." + }, + "listen": { + "label": "Hallgatási típúsok", + "description": "Lista a hangalapú eseményekről amit érzékelni szeretnél (angolul) (például: bark, fire_alarm, scream, speech, yell)." + }, + "filters": { + "label": "Audio szűrők (filters)", + "description": "Hangtípusonkénti szűrőbeállítások (filter), mint például a téves találatok számát mérsékelő konfidencia-küszöbök." + }, + "enabled_in_config": { + "label": "Eredeti audio állapot" + } + }, + "audio_transcription": { + "label": "Hang Feliratozás", + "description": "„Beállítások élő hang és beszéd automatikus szöveggé alakításához, eseményekhez és élő feliratozáshoz.", + "enabled": { + "label": "Hangról szövegre alakítás engedélyezése" + } } } diff --git a/web/public/locales/hu/config/global.json b/web/public/locales/hu/config/global.json index 8a43985e3f..1389d61a53 100644 --- a/web/public/locales/hu/config/global.json +++ b/web/public/locales/hu/config/global.json @@ -40,5 +40,65 @@ "environment_vars": { "label": "Környezeti változók", "description": "A Home Assistant OS rendszerben a Frigate folyamat számára beállítandó környezeti változói. A nem HAOS-felhasználóknak helyette a Docker konfigurációját kell használniuk." + }, + "logger": { + "label": "Naplózás", + "description": "Az alapértelmezett naplózási részletességet és a komponensenkénti naplózási szintek felülírását vezérli.", + "default": { + "label": "Naplózási részletesség", + "description": "Alapértelmezett globális naplórészletesség (debug, info, warning, error)." + }, + "logs": { + "label": "Folyamatonkénti naplózási szint", + "description": "Összetevőnkénti naplózási szint felülbírálások az egyes modulok részletességének növeléséhez vagy csökkentéséhez." + } + }, + "audio": { + "label": "Hangesemények", + "enabled": { + "label": "Hangalapú eseményérzékelés engedélyezése" + }, + "max_not_heard": { + "description": "Ennyi másodperc után fejeződik be a hangesemény, ha a beállított hangtípus nem észlelhető.", + "label": "Időtúllépés befejezése" + }, + "min_volume": { + "label": "Minimális hangerő", + "description": "Minimum RMS hangerő a hangérzékelés futtatásához; az alacsonyabb értékek növelik az érzékenységet (pl: 200 magas, 500 közepes, 1000 alacsony érzékenységet jelent)." + }, + "listen": { + "label": "Hallgatási típúsok", + "description": "Lista a hangalapú eseményekről amit érzékelni szeretnél (angolul) (például: bark, fire_alarm, scream, speech, yell)." + }, + "filters": { + "label": "Audio szűrők (filters)", + "description": "Hangtípusonkénti szűrőbeállítások (filter), mint például a téves találatok számát mérsékelő konfidencia-küszöbök." + }, + "enabled_in_config": { + "label": "Eredeti audio állapot" + } + }, + "auth": { + "label": "Azonosítás", + "description": "Bejelentkezési és munkamenet-beállítások, többek között süti- és lekérdezési korlátok (rate limit) megadásához.", + "enabled": { + "label": "Bejelentkezés engedélyezése", + "description": "Natív bejelentkezés (azonosítás) engedélyezése a Frigate felületén." + }, + "reset_admin_password": { + "label": "Admin jelszó visszaállítása", + "description": "Ha igaz, akkor visszaállítja az admin felhasználó jelszavát, és induláskor a naplóba írja ki az új jelszót." + }, + "cookie_name": { + "label": "JWT süti neve", + "description": "A süti neve ami a JWT tokent tárolja a natív bejelentkezéshez." + } + }, + "audio_transcription": { + "label": "Hang Feliratozás", + "description": "„Beállítások élő hang és beszéd automatikus szöveggé alakításához, eseményekhez és élő feliratozáshoz.", + "enabled": { + "label": "Hangról szövegre alakítás engedélyezése" + } } } diff --git a/web/public/locales/hu/config/groups.json b/web/public/locales/hu/config/groups.json index a50d820663..6d334c5a75 100644 --- a/web/public/locales/hu/config/groups.json +++ b/web/public/locales/hu/config/groups.json @@ -16,5 +16,43 @@ "cameras": { "appearance": "Kinézet" } + }, + "motion": { + "global": { + "sensitivity": "Globális érzékenység", + "algorithm": "Globális Algoritmus" + }, + "cameras": { + "sensitivity": "Érzékenység", + "algorithm": "Algoritmus" + } + }, + "detect": { + "global": { + "resolution": "Globális Felbontás", + "tracking": "Globális követés" + }, + "cameras": { + "resolution": "Felbontás", + "tracking": "Követés (tracking)" + } + }, + "snapshots": { + "global": { + "display": "Globális kijelző" + }, + "cameras": { + "display": "Kijelző" + } + }, + "objects": { + "global": { + "tracking": "Globális objektumkövetés", + "filtering": "Globális szűrés (filtering)" + }, + "cameras": { + "tracking": "Követés", + "filtering": "Szűrés (filtering)" + } } } diff --git a/web/public/locales/hu/config/validation.json b/web/public/locales/hu/config/validation.json index 7b3ab646b6..2e6fafa925 100644 --- a/web/public/locales/hu/config/validation.json +++ b/web/public/locales/hu/config/validation.json @@ -4,5 +4,22 @@ "exclusiveMinimum": "Nagyobbnak kell lennie, mint {{limit}}", "exclusiveMaximum": "Kevesebbnek kell lennie, mint {{limit}}", "minLength": "Legalább {{limit}} karaktert kell megadni", - "maxLength": "Legfeljebb {{limit}} karakter lehet" + "maxLength": "Legfeljebb {{limit}} karakter lehet", + "minItems": "Legalább {{limit}} elemnek kell lennie", + "maxItems": "Legfeljebb {{limit}} elem lehet", + "pattern": "Érvénytelen formátum", + "required": "Ezt a mezőt kötelező kitölteni", + "type": "Érvénytelen értéktípus", + "enum": "Az engedélyezett értékek közül legalább egy kell legyen", + "const": "Az érték nem egyezik a várt állandóval", + "uniqueItems": "Minden elemnek egyedinek kell lennie", + "format": "Érvénytelen formátum", + "additionalProperties": "Ismeretlen tulajdonság nem engedélyezett", + "oneOf": "Pontosan az egyik engedélyezett sémának kell megfelelnie", + "anyOf": "Legalább az egyik engedélyezett sémának kell megfelelnie", + "ffmpeg": { + "inputs": { + "rolesUnique": "Mindegyik szerepkör (role) csak egy bemeneti (input) streamhez rendelhető hozzá." + } + } } diff --git a/web/public/locales/hu/views/chat.json b/web/public/locales/hu/views/chat.json new file mode 100644 index 0000000000..cd90ba0738 --- /dev/null +++ b/web/public/locales/hu/views/chat.json @@ -0,0 +1,18 @@ +{ + "documentTitle": "Chat - Frigate", + "title": "Frigate Chat", + "subtitle": "A kamerakezeléshez és elemzésekhez szükséges MI asszisztensed", + "placeholder": "Kérdezz bármit...", + "error": "Hiba történt. Kérjük, próbáld meg újra.", + "processing": "Feldolgozás...", + "toolsUsed": "Használatban: {{tools}}", + "showTools": "Eszközök megjelenítése ({{count}})", + "hideTools": "Eszközök elrejtése", + "call": "Hívás", + "result": "Eredmény", + "response": "Válasz:", + "attachment_chip_remove": "Melléklet eltávolítása", + "open_in_explore": "Megnyitás Böngészőben", + "attachment_picker_paste_label": "Vagy illeszd be az esemény ID-t", + "attachment_picker_attach": "Melléklet" +} diff --git a/web/public/locales/hu/views/events.json b/web/public/locales/hu/views/events.json index 904a013368..82e7b72025 100644 --- a/web/public/locales/hu/views/events.json +++ b/web/public/locales/hu/views/events.json @@ -15,7 +15,9 @@ "only": "Csak mozgások" }, "allCameras": "Összes kamera", - "timeline": "Idővonal", + "timeline": { + "label": "Idővonal" + }, "detected": "észlelve", "events": { "label": "Események", diff --git a/web/public/locales/hu/views/exports.json b/web/public/locales/hu/views/exports.json index f1880b1252..ebf428f178 100644 --- a/web/public/locales/hu/views/exports.json +++ b/web/public/locales/hu/views/exports.json @@ -3,7 +3,9 @@ "search": "Keresés", "noExports": "Export nem található", "deleteExport.desc": "Biztos, hogy törölni akarja {{exportName}}-t?", - "deleteExport": "Export törlése", + "deleteExport": { + "label": "Export törlése" + }, "editExport": { "title": "Exportálás átnevezése", "desc": "Adjon meg egy új nevet ennek az exportnak.", @@ -23,5 +25,8 @@ "headings": { "cases": "Esetek", "uncategorizedExports": "Kategória nélküli exportok" + }, + "toolbar": { + "addExport": "Export hozzáadása" } } diff --git a/web/public/locales/hu/views/live.json b/web/public/locales/hu/views/live.json index b7a5ff9672..a24a0e6bb5 100644 --- a/web/public/locales/hu/views/live.json +++ b/web/public/locales/hu/views/live.json @@ -3,7 +3,9 @@ "enable": "Kétirányú kommunikáció engedélyezése", "disable": "Kétirányú kommunikáció tiltása" }, - "documentTitle": "Élő - Frigate", + "documentTitle": { + "default": "Élő - Frigate" + }, "lowBandwidthMode": "Alacsony felbontású mód", "documentTitle.withCamera": "{{camera}} - Élő - Frigate", "cameraAudio": { @@ -15,7 +17,8 @@ "clickMove": { "label": "Kattintson a képre a kamera középre igazításához", "enable": "Engedélyezze a kattintást a mozgatáshoz", - "disable": "Kattintással húzás kikapcsolása" + "disable": "Kattintással húzás kikapcsolása", + "enableWithZoom": "Kattintással történő mozgatás és húzással való nagyítás engedélyezése" }, "left": { "label": "PTZ kamera balra mozgatása" diff --git a/web/public/locales/hu/views/motionSearch.json b/web/public/locales/hu/views/motionSearch.json new file mode 100644 index 0000000000..e84683d3ba --- /dev/null +++ b/web/public/locales/hu/views/motionSearch.json @@ -0,0 +1,22 @@ +{ + "documentTitle": "Mozgás Keresés - Frigate", + "title": "Mozgás Keresés", + "description": "Rajzoljon be egy sokszöget a vizsgálandó terület kijelöléséhez, majd adja meg az időtartományt, amelyen belül a mozgásváltozásokat szeretné keresni ezen a területen.", + "selectCamera": "Mozgás Keresés betöltése folyamatban", + "startSearch": "Keresés Indítása", + "searchStarted": "Megkezdődött a keresés", + "searchCancelled": "Keresés megszakítva", + "cancelSearch": "Mégse", + "searching": "Keresés folyamatban.", + "searchComplete": "A keresés befejeződött", + "noResultsYet": "Futtass keresést a kijelölt területen a mozgásváltozások felkutatásához", + "noChangesFound": "A kijelölt területen nem történt pixelváltozás", + "changesFound_one": "Észlelhető {{count}} mozgásváltozás", + "changesFound_other": "Észlelhető {{count}} mozgásváltozás", + "framesProcessed": "{{count}} képkocka feldolgozva", + "jumpToTime": "Ugrás erre az időpontra", + "results": "Eredmények", + "showSegmentHeatmap": "Hőtérkép", + "newSearch": "Új Keresés", + "clearResults": "Eredmények törlése" +} diff --git a/web/public/locales/hu/views/replay.json b/web/public/locales/hu/views/replay.json new file mode 100644 index 0000000000..7df3327315 --- /dev/null +++ b/web/public/locales/hu/views/replay.json @@ -0,0 +1,25 @@ +{ + "title": "Hibakeresés visszajátszás", + "websocket_messages": "Üzenetek", + "dialog": { + "title": "Hibakeresés visszajátszásának indítása", + "camera": "Forráskamera", + "timeRange": "Időtartomány", + "preset": { + "1m": "Legutóbbi 1 perc", + "5m": "Legutóbbi 5 perc", + "timeline": "Az Idővonalból", + "custom": "Egyedi" + }, + "startButton": "Visszajátszás indítása", + "selectFromTimeline": "Válassz", + "starting": "Visszajátszás indítása...", + "startLabel": "Indítás", + "endLabel": "Vége", + "toast": { + "error": "A hibakeresési visszajátszás elindítása sikertelen: {{error}}", + "alreadyActive": "A visszajátszási munkamenet már aktív", + "goToReplay": "Ugrás a visszajátszásra" + } + } +} diff --git a/web/public/locales/hu/views/settings.json b/web/public/locales/hu/views/settings.json index c8bd38614d..3cf386f72b 100644 --- a/web/public/locales/hu/views/settings.json +++ b/web/public/locales/hu/views/settings.json @@ -12,7 +12,11 @@ "motionTuner": "Mozgás Hangoló - Frigate", "enrichments": "Kiegészítés Beállítások - Frigate", "cameraManagement": "Kamerák kezelése - Frigate", - "cameraReview": "Kamera beállítások áttekintése – Frigate" + "cameraReview": "Kamera beállítások áttekintése – Frigate", + "globalConfig": "Globális Konfiguráció - Frigate", + "cameraConfig": "Kamera Konfiguráció - Frigate", + "maintenance": "Karbantartás - Frigate", + "profiles": "Profilok - Frigate" }, "menu": { "ui": "UI", @@ -28,7 +32,24 @@ "triggers": "Triggerek", "roles": "Szerepkörök", "cameraManagement": "Menedzsment", - "cameraReview": "Vizsgálat" + "cameraReview": "Vizsgálat", + "general": "Általános", + "globalConfig": "Globális konfiguráció", + "system": "Rendszer", + "integrations": "Integrációk", + "uiSettings": "UI beállítások", + "profiles": "Profilok", + "globalDetect": "Tárgy felismerés", + "globalRecording": "Felvétel", + "globalSnapshots": "Pillanatképek", + "globalFfmpeg": "FFmpeg", + "globalMotion": "Mozgásérzékelés", + "globalObjects": "Tárgyak", + "globalReview": "Áttekintés", + "globalAudioEvents": "Hangesemények", + "cameraAudioEvents": "Hangesemények", + "cameraAudioTranscription": "Hang Feliratozás", + "integrationAudioTranscription": "Hang Feliratozás" }, "dialog": { "unsavedChanges": { @@ -517,7 +538,7 @@ "all": "Mindem Maszk és Zóna" }, "motionMaskLabel": "Mozgási Maszk {{number}}", - "objectMaskLabel": "Tárgy Maszk {{number}} {{label}}", + "objectMaskLabel": "Tárgy Maszk {{number}}", "toast": { "success": { "copyCoordinates": "A {{polyName}} koordinátái vágólapra másolva." @@ -861,5 +882,16 @@ "streamConfiguration": "Stream beállítások", "validationAndTesting": "Validálás és tesztelés" } + }, + "button": { + "overriddenGlobal": "Felülírt (Globális)", + "overriddenGlobalTooltip": "Ez a kamera felülírja a globális konfigurációs beállításokat ebben a részben", + "overriddenBaseConfig": "Felülírt (Alapbeállítás)", + "overriddenBaseConfigTooltip": "A {{profile}} profil felülírja a konfigurációs beállításokat ebben a részben" + }, + "detectionModel": { + "plusActive": { + "label": "A jelenlegi modell forrása" + } } } diff --git a/web/public/locales/hu/views/system.json b/web/public/locales/hu/views/system.json index d99cfbcb32..73580e256a 100644 --- a/web/public/locales/hu/views/system.json +++ b/web/public/locales/hu/views/system.json @@ -6,7 +6,8 @@ "logs": { "frigate": "Frigate naplók - Frigate", "go2rtc": "Go2RTC naplók - Frigate", - "nginx": "Nginx naplók - Frigate" + "nginx": "Nginx naplók - Frigate", + "websocket": "Üzenet naplók - Frigate" }, "enrichments": "Kiegészítés statisztikák - Frigate" }, @@ -78,7 +79,22 @@ "download": { "label": "Naplók letöltése" }, - "tips": "A naplók a szerverről érkeznek" + "tips": "A naplók a szerverről érkeznek", + "websocket": { + "label": "Üzenetek", + "pause": "Szüneteltetés", + "resume": "Folytatás", + "filter": { + "all": "Összes téma (topic)", + "topics": "Témák (topics)", + "events": "Események", + "reviews": "Értékelések (reviews)", + "face_recognition": "Arcfelismerés", + "classification": "Osztályozás", + "lpr": "LPR" + }, + "clear": "Töröl" + } }, "general": { "title": "Általános", diff --git a/web/public/locales/hy/views/chat.json b/web/public/locales/hy/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hy/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hy/views/motionSearch.json b/web/public/locales/hy/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hy/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/hy/views/replay.json b/web/public/locales/hy/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/hy/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/id/audio.json b/web/public/locales/id/audio.json index cb3f2539f2..c7cb4475a3 100644 --- a/web/public/locales/id/audio.json +++ b/web/public/locales/id/audio.json @@ -1,6 +1,6 @@ { "yell": "Teriakan", - "speech": "Bahasa", + "speech": "Percakapan", "babbling": "Ocehan", "bellow": "Di bawah", "whoop": "Teriakan", @@ -87,5 +87,12 @@ "clapping": "Tepukan", "camera": "Kamera", "wheeze": "Nafas", - "gasp": "Tersedak" + "gasp": "Tersedak", + "sound_effect": "Efek Suara", + "environmental_noise": "Suara Lingkungan", + "static": "Statis", + "white_noise": "Suara Derau", + "television": "Televisi", + "radio": "Radio", + "scream": "Teriakan" } diff --git a/web/public/locales/id/common.json b/web/public/locales/id/common.json index b1498de076..c5eb6634aa 100644 --- a/web/public/locales/id/common.json +++ b/web/public/locales/id/common.json @@ -6,7 +6,7 @@ "justNow": "Sekarang", "today": "Hari ini", "yesterday": "Kemarin", - "untilForTime": "Hingga {{time}}", + "untilForTime": "Sampai", "last7": "7 hari terakhir", "last14": "14 hari terakhir", "last30": "30 hari terakhir", diff --git a/web/public/locales/id/components/player.json b/web/public/locales/id/components/player.json index 0372a797c7..0adef26797 100644 --- a/web/public/locales/id/components/player.json +++ b/web/public/locales/id/components/player.json @@ -5,7 +5,7 @@ "submit": "Kirim", "title": "Kirim frame ini ke Frigate+?" }, - "noRecordingsFoundForThisTime": "Tidak ada Rekaman pada waktu ini", + "noRecordingsFoundForThisTime": "Tidak ada rekaman ditemukan pada waktu ini", "livePlayerRequiredIOSVersion": "iOS 17.1 atau yang lebih tinggi diperlukan untuk tipe siaran langsung ini.", "streamOffline": { "title": "Stream Tidak Aktif", diff --git a/web/public/locales/id/config/cameras.json b/web/public/locales/id/config/cameras.json index 0967ef424b..9151d7d340 100644 --- a/web/public/locales/id/config/cameras.json +++ b/web/public/locales/id/config/cameras.json @@ -1 +1,3 @@ -{} +{ + "label": "Pengaturan Kamera" +} diff --git a/web/public/locales/id/config/global.json b/web/public/locales/id/config/global.json index 0967ef424b..345b593f5c 100644 --- a/web/public/locales/id/config/global.json +++ b/web/public/locales/id/config/global.json @@ -1 +1,5 @@ -{} +{ + "version": { + "label": "Versi konfigurasi" + } +} diff --git a/web/public/locales/id/config/groups.json b/web/public/locales/id/config/groups.json index 0967ef424b..7e1fd9f862 100644 --- a/web/public/locales/id/config/groups.json +++ b/web/public/locales/id/config/groups.json @@ -1 +1,7 @@ -{} +{ + "audio": { + "global": { + "detection": "Deteksi Global" + } + } +} diff --git a/web/public/locales/id/config/validation.json b/web/public/locales/id/config/validation.json index 0967ef424b..3be9f0d2f8 100644 --- a/web/public/locales/id/config/validation.json +++ b/web/public/locales/id/config/validation.json @@ -1 +1,3 @@ -{} +{ + "minimum": "Nilai harus lebih besar dari {{limit}}" +} diff --git a/web/public/locales/id/views/chat.json b/web/public/locales/id/views/chat.json new file mode 100644 index 0000000000..4fc251afdb --- /dev/null +++ b/web/public/locales/id/views/chat.json @@ -0,0 +1,3 @@ +{ + "documentTitle": "Chat - Frigate" +} diff --git a/web/public/locales/id/views/classificationModel.json b/web/public/locales/id/views/classificationModel.json index 55ca9051dd..9ea38ad20d 100644 --- a/web/public/locales/id/views/classificationModel.json +++ b/web/public/locales/id/views/classificationModel.json @@ -2,7 +2,7 @@ "documentTitle": "Klasifikasi Model - Frigate", "details": { "scoreInfo": "Skor tersebut mewakili rata-rata kepercayaan klasifikasi di seluruh deteksi objek ini.", - "none": "Tidak ada", + "none": "Tidak Ada", "unknown": "Tidak diketahui" }, "button": { diff --git a/web/public/locales/id/views/exports.json b/web/public/locales/id/views/exports.json index 043c313de1..79775d60bf 100644 --- a/web/public/locales/id/views/exports.json +++ b/web/public/locales/id/views/exports.json @@ -5,7 +5,7 @@ "deleteExport": "Hapus Ekspor", "deleteExport.desc": "Apakah Anda yakin ingin menghapus {{exportName}}?", "editExport": { - "title": "Ganti Nama Ekspor", + "title": "Ubah nama ekspor", "desc": "Masukkan nama baru untuk ekspor ini.", "saveExport": "Simpan Ekspor" }, diff --git a/web/public/locales/id/views/live.json b/web/public/locales/id/views/live.json index 96e4575230..36202b238c 100644 --- a/web/public/locales/id/views/live.json +++ b/web/public/locales/id/views/live.json @@ -1,6 +1,8 @@ { "documentTitle.withCamera": "{{camera}} - Langsung - Frigate", - "documentTitle": "Langsung - Frigate", + "documentTitle": { + "default": "Siaran Langsung - Frigate" + }, "lowBandwidthMode": "Mode Bandwith-Rendah", "twoWayTalk": { "enable": "Nyalakan Komunikasi dua arah", diff --git a/web/public/locales/id/views/motionSearch.json b/web/public/locales/id/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/id/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/id/views/replay.json b/web/public/locales/id/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/id/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/id/views/settings.json b/web/public/locales/id/views/settings.json index 1a74776d59..831d9bb684 100644 --- a/web/public/locales/id/views/settings.json +++ b/web/public/locales/id/views/settings.json @@ -7,7 +7,7 @@ "masksAndZones": "Editor Mask dan Zona - Frigate", "motionTuner": "Penyetel Gerakan - Frigate", "general": "Frigate - Pengaturan Umum", - "object": "Debug - Frigate", + "object": "Pengawakutu - Frigate", "enrichments": "Frigate - Pengaturan Pengayaan", "cameraManagement": "Pengaturan Kamera - Frigate", "cameraReview": "Pengaturan Ulasan Kamera - Frigate", @@ -47,5 +47,21 @@ "desc": "Secara otomatis beralih ke tampilan langsung kamera saat aktivitas terdeteksi. Menonaktifkan opsi ini menyebabkan gambar statis kamera di dasbor langsung hanya diperbarui sekali per menit." } } + }, + "configMessages": { + "audioTranscription": { + "audioDetectionDisabled": "Pendeteksi suara tidak dinyalakan untuk kamera ini. Transkripsi suara memerlukan pendeteksi suara untuk dinyalakan." + }, + "detect": { + "fpsGreaterThanFive": "Pengaturan FPS untuk pendeteksian lebih dari 5 tidak disarankan." + }, + "faceRecognition": { + "globalDisabled": "Pendeteksi muka tidak dinyalakan dalam level global. Nyalakan pendeteksi muka dalam pengaturan global agar per-kamera deteksi muka dapat bekerja.", + "personNotTracked": "Pendeteksi muka memerlukan 'orang' sebagai objek deteksi. Pastikan 'orang' berada dalam hal yang dideteksi." + }, + "lpr": { + "globalDisabled": "Pendeteksian plat nomor tidak dinyalakan dalam pengaturan global. Nyalakan deteksi plat nomor dalam pengaturan global agar fungsi ini dapat bekerja.", + "vehicleNotTracked": "Pendeteksian plat nomor memerlukan 'mobil' atau 'motor' untuk dideteksi." + } } } diff --git a/web/public/locales/is/views/chat.json b/web/public/locales/is/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/is/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/is/views/motionSearch.json b/web/public/locales/is/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/is/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/is/views/replay.json b/web/public/locales/is/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/is/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/it/common.json b/web/public/locales/it/common.json index 4067fe4fca..1a718250be 100644 --- a/web/public/locales/it/common.json +++ b/web/public/locales/it/common.json @@ -221,7 +221,8 @@ "gl": "Galego (Galiziano)", "id": "Bahasa Indonesia (Indonesiano)", "ur": "اردو (Urdu)", - "hr": "Hrvatski (Croato)" + "hr": "Hrvatski (Croato)", + "bs": "Bosanski (Bosniaco)" }, "darkMode": { "label": "Modalità scura", @@ -258,7 +259,7 @@ "label": "Documentazione di Frigate" }, "restart": "Riavvia Frigate", - "review": "Rivedi", + "review": "Revisiona", "explore": "Esplora", "export": "Esporta", "uiPlayground": "Interfaccia area prove", @@ -275,11 +276,12 @@ "classification": "Classificazione", "chat": "Chat", "profiles": "Profili", - "actions": "Azioni" + "actions": "Azioni", + "features": "Caratteristiche" }, "pagination": { "next": { - "title": "Successiva", + "title": "Successivo", "label": "Vai alla pagina successiva" }, "previous": { @@ -292,8 +294,8 @@ "role": { "title": "Ruolo", "admin": "Amministratore", - "viewer": "Spettatore", - "desc": "Gli amministratori hanno accesso completo a tutte le funzionalità dell'interfaccia utente di Frigate. Gli spettatori possono visualizzare solo le telecamere, gli elementi di revisione e i filmati storici nell'interfaccia utente." + "viewer": "Visualizzatore", + "desc": "Gli amministratori hanno accesso completo a tutte le funzionalità dell'interfaccia utente di Frigate. I visualizzatori possono visualizzare solo le telecamere, gli elementi di revisione e i filmati storici nell'interfaccia utente." }, "accessDenied": { "desc": "Non hai i permessi per visualizzare questa pagina.", diff --git a/web/public/locales/it/components/camera.json b/web/public/locales/it/components/camera.json index 29ee897f36..8dc27755dc 100644 --- a/web/public/locales/it/components/camera.json +++ b/web/public/locales/it/components/camera.json @@ -36,7 +36,7 @@ "label": "Trasmissione continua", "desc": { "warning": "La trasmissione continua può causare un elevato utilizzo di larghezza di banda e problemi di prestazioni. Da usare con cautela.", - "title": "L'immagine della telecamera sarà sempre trasmessa dal vivo quando è visibile sulla schermata, anche se non viene rilevata alcuna attività." + "title": "L'immagine della telecamera sarà sempre trasmessa dal vivo quando è visibile sul cruscotto, anche se non viene rilevata alcuna attività." } }, "noStreaming": { @@ -57,7 +57,7 @@ } }, "audioIsUnavailable": "L'audio non è disponibile per questo flusso", - "desc": "Modifica le opzioni di trasmissione dal vivo per la schermata di questo gruppo di telecamere. Queste impostazioni sono specifiche del dispositivo/browser.", + "desc": "Modifica le opzioni di trasmissione dal vivo per il cruscotto di questo gruppo di telecamere. Queste impostazioni sono specifiche del dispositivo/browser.", "stream": "Flusso", "placeholder": "Scegli un flusso" }, diff --git a/web/public/locales/it/components/dialog.json b/web/public/locales/it/components/dialog.json index d0b09d38cd..1cf05d4137 100644 --- a/web/public/locales/it/components/dialog.json +++ b/web/public/locales/it/components/dialog.json @@ -64,15 +64,28 @@ "toast": { "success": "Esportazione avviata correttamente. Visualizza il file nella pagina delle esportazioni.", "error": { - "failed": "Impossibile avviare l'esportazione: {{error}}", + "failed": "Impossibile mettere in coda l'esportazione: {{error}}", "endTimeMustAfterStartTime": "L'ora di fine deve essere successiva all'ora di inizio", "noVaildTimeSelected": "Nessun intervallo di tempo valido selezionato" }, - "view": "Visualizzazione" + "view": "Visualizzazione", + "queued": "Esportazione in coda. Visualizza lo stato di avanzamento nella pagina delle esportazioni.", + "batchSuccess_one": "Avviata 1 esportazione. Apertura del caso in corso.", + "batchSuccess_many": "Avviate {{count}} esportazioni. Apertura del caso in corso.", + "batchSuccess_other": "Avviate {{count}} esportazioni. Apertura del caso in corso.", + "batchPartial": "Avviate {{successful}} esportazioni su un totale di {{total}}. Telecamere non riuscite: {{failedCameras}}", + "batchFailed": "Impossibile avviare {{total}} esportazioni. Telecamere non riuscite: {{failedCameras}}", + "batchQueuedSuccess_one": "1 esportazione in coda. Apertura del caso in corso.", + "batchQueuedSuccess_many": "Sono in coda {{count}} esportazioni. Apertura del caso in corso.", + "batchQueuedSuccess_other": "Sono in coda {{count}} esportazioni. Apertura del caso in corso.", + "batchQueuedPartial": "In coda {{successful}} di {{total}} esportazioni. Telecamere non riuscite: {{failedCameras}}", + "batchQueueFailed": "Impossibile mettere in coda {{total}} esportazioni. Telecamere non riuscite: {{failedCameras}}" }, "fromTimeline": { "saveExport": "Salva esportazione", - "previewExport": "Anteprima esportazione" + "previewExport": "Anteprima esportazione", + "queueingExport": "Accodamento per l'esportazione...", + "useThisRange": "Utilizza questa intervallo" }, "select": "Seleziona", "name": { @@ -80,7 +93,55 @@ }, "case": { "label": "Caso", - "placeholder": "Seleziona un caso" + "placeholder": "Seleziona un caso", + "newCaseOption": "Crea un nuovo caso", + "newCaseNamePlaceholder": "Nuovo nome del caso", + "newCaseDescriptionPlaceholder": "Descrizione del caso", + "nonAdminHelp": "Per queste esportazioni verrà creato un nuovo caso." + }, + "queueing": "Accodamento per l'esportazione...", + "tabs": { + "export": "Telecamera singola", + "multiCamera": "Multicamera" + }, + "multiCamera": { + "timeRange": "Intervallo di tempo", + "selectFromTimeline": "Seleziona dalla cronologia", + "cameraSelection": "Telecamere", + "cameraSelectionHelp": "Le telecamere con oggetti tracciati in questo intervallo di tempo sono preselezionate", + "checkingActivity": "Controllo dell'attività della telecamera...", + "noCameras": "Nessuna telecamera disponibile", + "detectionCount_one": "1 oggetto tracciato", + "detectionCount_many": "{{count}} oggetti tracciati", + "detectionCount_other": "{{count}} oggetti tracciati", + "nameLabel": "Nome di esportazione", + "namePlaceholder": "Nome base facoltativo per queste esportazioni", + "queueingButton": "Accodamento delle esportazioni...", + "exportButton_one": "Esporta 1 telecamera", + "exportButton_many": "Esporta {{count}} telecamere", + "exportButton_other": "Esporta {{count}} telecamere" + }, + "multi": { + "title_one": "Esporta 1 revisione", + "title_many": "Esporta {{count}} revisioni", + "title_other": "Esporta {{count}} revisioni", + "description": "Esporta ogni revisione selezionata. Tutte le esportazioni saranno raggruppate in un unico caso.", + "descriptionNoCase": "Esporta ogni revisione selezionata.", + "caseNamePlaceholder": "Esporta revisione - {{date}}", + "exportButton_one": "Esporta 1 revisione", + "exportButton_many": "Esporta {{count}} revisioni", + "exportButton_other": "Esporta {{count}} revisioni", + "exportingButton": "Esportazione...", + "toast": { + "started_one": "Avviata 1 esportazione. Apertura del caso in corso.", + "started_many": "Avviate {{count}} esportazioni. Apertura del caso in corso.", + "started_other": "Avviate {{count}} esportazioni. Apertura del caso in corso.", + "startedNoCase_one": "Avviata 1 esportazione.", + "startedNoCase_many": "Avviate {{count}} esportazioni.", + "startedNoCase_other": "Avviate {{count}} esportazioni.", + "partial": "Avviate {{successful}} esportazioni su un totale di {{total}}. Fallite: {{failedItems}}", + "failed": "Impossibile avviare {{total}} esportazioni. Errori: {{failedItems}}" + } } }, "streaming": { @@ -128,6 +189,14 @@ "success": "Il filmato associato agli elementi di recensione selezionati è stato eliminato correttamente.", "error": "Impossibile eliminare: {{error}}" } + }, + "shareTimestamp": { + "label": "Condividi orario", + "title": "Condividi orario", + "description": "Condividi un URL con l'orario della posizione attuale del lettore oppure scegli un orario personalizzato. Tieni presente che questo URL non è pubblico ed è accessibile solo agli utenti che hanno accesso a Frigate e a questa telecamera.", + "custom": "Orario personalizzato", + "button": "URL dell'orario di condivisione", + "shareTitle": "Orario revisione Frigate: {{camera}}" } }, "imagePicker": { diff --git a/web/public/locales/it/components/player.json b/web/public/locales/it/components/player.json index 2aee1a7815..e8a1f5bbbf 100644 --- a/web/public/locales/it/components/player.json +++ b/web/public/locales/it/components/player.json @@ -4,7 +4,8 @@ "noPreviewFoundFor": "Nessuna anteprima trovata per {{cameraName}}", "submitFrigatePlus": { "title": "Vuoi inviare questo fotogramma a Frigate+?", - "submit": "Invia" + "submit": "Invia", + "previewError": "Impossibile caricare l'anteprima dell'istantanea. La registrazione potrebbe non essere disponibile al momento." }, "livePlayerRequiredIOSVersion": "Per questo tipo di trasmissione dal vivo è richiesto iOS 17.1 o versione successiva.", "stats": { @@ -47,5 +48,5 @@ "submitFrigatePlusFailed": "Impossibile inviare il fotogramma a Frigate+" } }, - "cameraDisabled": "La telecamera è disattivata" + "cameraDisabled": "La telecamera è disabilita" } diff --git a/web/public/locales/it/config/cameras.json b/web/public/locales/it/config/cameras.json index 491b69052e..01dddb58a1 100644 --- a/web/public/locales/it/config/cameras.json +++ b/web/public/locales/it/config/cameras.json @@ -2,30 +2,277 @@ "label": "Configurazione telecamera", "name": { "label": "Nome telecamera", - "description": "Il nome della telecamera è necessario" + "description": "Il nome della telecamera è obbligatorio" }, "friendly_name": { "description": "Nome amichevole della telecamera utilizzato nell'interfaccia utente di Frigate", "label": "Nome amichevole" }, "enabled": { - "label": "Abilitato", - "description": "Abilitato" + "label": "Abilitata", + "description": "Abilitata" }, "audio": { - "label": "Eventi audio", + "label": "Rilevamento audio", "description": "Impostazioni per il rilevamento di eventi audio per questa telecamera.", "enabled": { "label": "Abilita il rilevamento audio", "description": "Abilita o disabilita il rilevamento degli eventi audio per questa telecamera." }, "min_volume": { - "label": "Volume minimo" + "label": "Volume minimo", + "description": "È richiesta una soglia minima di volume RMS per eseguire il rilevamento audio; valori inferiori aumentano la sensibilità (ad esempio, 200 alta, 500 media, 1000 bassa)." + }, + "max_not_heard": { + "label": "Fine pausa", + "description": "Numero di secondi senza il tipo di audio configurato prima che l'evento audio termini." + }, + "listen": { + "label": "Tipi di ascolto", + "description": "Elenco dei tipi di eventi audio da rilevare (ad esempio: abbaio, allarme antincendio, urlo, parlato, grido)." + }, + "filters": { + "label": "Filtri audio", + "description": "Impostazioni di filtro per ciascun tipo di audio, come le soglie di confidenza utilizzate per ridurre i falsi positivi.", + "threshold": { + "label": "Affidabilità audio minima", + "description": "Soglia minima di fiducia affinché l'evento audio venga conteggiato." + } + }, + "enabled_in_config": { + "label": "Stato audio originale", + "description": "Indica se il rilevamento audio era originariamente abilitato nel file di configurazione statico." + }, + "num_threads": { + "label": "Processi di rilevamento", + "description": "Numero di processi da utilizzare per l'elaborazione del rilevamento audio." } }, "ffmpeg": { "path": { "label": "Percorso FFmpeg" + }, + "label": "FFmpeg", + "hwaccel_args": { + "label": "Argomenti di accelerazione hardware", + "description": "Argomenti di accelerazione hardware per FFmpeg. Si consiglia di utilizzare preimpostazioni specifiche del provider." + }, + "inputs": { + "hwaccel_args": { + "label": "Argomenti di accelerazione hardware", + "description": "Argomenti di accelerazione hardware per questo flusso di ingresso." + } + }, + "gpu": { + "description": "Indice GPU predefinito utilizzato per l'accelerazione hardware, se disponibile." + } + }, + "audio_transcription": { + "label": "Trascrizione audio", + "description": "Impostazioni per la trascrizione audio in tempo reale e del parlato utilizzata per eventi e sottotitoli in tempo reale.", + "enabled": { + "label": "Abilita la trascrizione", + "description": "Abilita o disabilita la trascrizione manuale degli eventi audio." + }, + "enabled_in_config": { + "label": "Stato di trascrizione originale" + }, + "live_enabled": { + "label": "Trascrizione dal vivo", + "description": "Abilita la trascrizione in diretta dell'audio non appena viene ricevuto." + } + }, + "mqtt": { + "label": "MQTT" + }, + "onvif": { + "tls_insecure": { + "label": "Disabilita verifica TLS" + }, + "profile": { + "label": "Profilo ONVIF" + }, + "autotracking": { + "label": "Tracciamento automatico", + "enabled": { + "label": "Abilita il tracciamento automatico" + }, + "calibrate_on_startup": { + "label": "Calibra all'avvio" + }, + "zooming": { + "label": "Modalità ingrandimento" + }, + "zoom_factor": { + "label": "Fattore di ingrandimento" + }, + "track": { + "label": "Oggetti tracciati", + "description": "Elenco dei tipi di oggetto che dovrebbero attivare il tracciamento automatico." + }, + "required_zones": { + "label": "Zone richieste" + }, + "timeout": { + "label": "Scadenza di ritorno", + "description": "Attendi questo numero di secondi dopo aver perso il tracciamento prima di riportare la telecamera nella posizione preimpostata." + }, + "movement_weights": { + "description": "Valori di calibrazione generati automaticamente dalla calibrazione della telecamera. Non modificare manualmente." + }, + "enabled_in_config": { + "label": "Stato originale del tracciamento automatico" + } + }, + "ignore_time_mismatch": { + "label": "Ignora la discrepanza oraria" + }, + "label": "ONVIF", + "port": { + "label": "Porta ONVIF" + } + }, + "detect": { + "label": "Rilevamento oggetti", + "description": "Impostazioni per il ruolo di rilevamento/rilevamento utilizzato per eseguire il rilevamento degli oggetti e inizializzare i localizzatori.", + "enabled": { + "label": "Abilita il rilevamento degli oggetti", + "description": "Abilita o disabilita il rilevamento degli oggetti per questa telecamera." + }, + "height": { + "label": "Rileva altezza", + "description": "Altezza (in pixel) dei fotogrammi utilizzati per il flusso di rilevamento; lascia vuoto per utilizzare la risoluzione nativa del flusso." + }, + "width": { + "label": "Rileva larghezza", + "description": "Larghezza (in pixel) dei fotogrammi utilizzati per il flusso di rilevamento; lascia vuoto per utilizzare la risoluzione nativa del flusso." + }, + "fps": { + "label": "Rileva FPS", + "description": "Numero di fotogrammi al secondo desiderati per eseguire il rilevamento; valori inferiori riducono l'utilizzo della CPU (il valore consigliato è 5, impostarne uno superiore - al massimo 10 - solo se si devono tracciare oggetti in movimento estremamente rapidi)." + }, + "min_initialized": { + "label": "Frame di inizializzazione minimi", + "description": "Numero di rilevamenti consecutivi necessari prima di creare un oggetto tracciato. Aumenta questo valore per ridurre le inizializzazioni errate. Il valore predefinito è FPS diviso per 2." + }, + "max_disappeared": { + "label": "Numero di fotogrammi scomparsi", + "description": "Numero di fotogrammi senza rilevamento prima che un oggetto tracciato venga considerato scomparso." + }, + "stationary": { + "label": "Configurazione degli oggetti stazionari", + "description": "Impostazioni per rilevare e gestire gli oggetti che rimangono fermi per un certo periodo di tempo.", + "interval": { + "label": "Intervallo stazionario", + "description": "Con quale frequenza (in fotogrammi) eseguire un controllo di rilevamento per confermare che l'oggetto sia stazionario." + }, + "threshold": { + "label": "Soglia stazionaria", + "description": "Numero di fotogrammi senza cambio di posizione necessari per contrassegnare un oggetto come stazionario." + } + } + }, + "face_recognition": { + "label": "Riconoscimento facciale" + }, + "review": { + "label": "Revisiona" + }, + "profiles": { + "label": "Profili" + }, + "record": { + "label": "Registrazione", + "export": { + "description": "Impostazioni utilizzate durante l'esportazione delle registrazioni come timelapse e accelerazione hardware.", + "hwaccel_args": { + "description": "Argomenti di accelerazione hardware da utilizzare per le operazioni di esportazione/transcodifica." + } + } + }, + "snapshots": { + "label": "Istantanee" + }, + "motion": { + "label": "Rilevamento movimento", + "contour_area": { + "label": "Area di contorno" + }, + "improve_contrast": { + "label": "Migliora il contrasto" + } + }, + "objects": { + "label": "Oggetti" + }, + "live": { + "label": "Riproduzione in diretta" + }, + "timestamp_style": { + "label": "Stile orario" + }, + "notifications": { + "label": "Notifiche", + "enabled": { + "label": "Abilita le notifiche" + }, + "email": { + "label": "Email di notifica", + "description": "Indirizzo email utilizzato per le notifiche push o richiesto da alcuni fornitori di servizi di notifica." + }, + "cooldown": { + "label": "Periodo di raffreddamento", + "description": "Tempo di attesa (in secondi) tra le notifiche per evitare di inviare spam ai destinatari." + }, + "enabled_in_config": { + "label": "Stato delle notifiche originali", + "description": "Indica se le notifiche erano abilitate nella configurazione statica originale." } + }, + "birdseye": { + "label": "Birdseye", + "description": "Impostazioni per la vista composita Birdseye che unisce più flussi video di telecamere in un unico formato.", + "enabled": { + "label": "Abilita Birdseye", + "description": "Abilita o disabilita la funzione di visualizzazione Birdseye." + }, + "mode": { + "label": "Modalità di tracciamento", + "description": "Modalità per includere le telecamere in Birdseye: 'oggetti', 'movimento' o 'continuo'." + }, + "order": { + "label": "Posizione", + "description": "Posizione numerica che controlla l'ordine delle telecamere nella disposizione Birdseye." + } + }, + "semantic_search": { + "label": "Ricerca semantica", + "triggers": { + "label": "Inneschi" + } + }, + "lpr": { + "label": "Riconoscimento targhe" + }, + "ui": { + "description": "Visualizza l'ordine e la visibilità di questa telecamera nell'interfaccia utente. L'ordine influisce sul cruscotto predefinito. Per un controllo più granulare, utilizza i gruppi di telecamere.", + "order": { + "description": "L'ordine numerico viene utilizzato per ordinare le telecamere nell'interfaccia utente (cruscotto ed elenchi predefiniti); i numeri più grandi compaiono successivamente." + }, + "dashboard": { + "label": "Mostra nell'interfaccia utente", + "description": "Abilita o disabilita la visualizzazione di questa telecamera in ogni punto dell'interfaccia utente di Frigate. Disabilitando questa opzione, sarà necessario modificare manualmente la configurazione per visualizzare nuovamente la telecamera nell'interfaccia utente." + }, + "label": "Interfaccia utente telecamera" + }, + "zones": { + "enabled": { + "label": "Abilitata" + }, + "label": "Zone" + }, + "type": { + "description": "Tipo di telecamera", + "label": "Tipo di telecamera" } } diff --git a/web/public/locales/it/config/global.json b/web/public/locales/it/config/global.json index dbd4f3ec65..d7e594ace1 100644 --- a/web/public/locales/it/config/global.json +++ b/web/public/locales/it/config/global.json @@ -12,24 +12,50 @@ "description": "Versione numerica o stringa della configurazione attiva per facilitare il rilevamento di migrazioni o modifiche di formato." }, "audio": { - "label": "Eventi audio", + "label": "Rilevamento audio", "enabled": { "label": "Abilita il rilevamento audio" }, "min_volume": { - "label": "Volume minimo" + "label": "Volume minimo", + "description": "È richiesta una soglia minima di volume RMS per eseguire il rilevamento audio; valori inferiori aumentano la sensibilità (ad esempio, 200 alta, 500 media, 1000 bassa)." + }, + "max_not_heard": { + "label": "Fine pausa", + "description": "Numero di secondi senza il tipo di audio configurato prima che l'evento audio termini." + }, + "listen": { + "label": "Tipi di ascolto", + "description": "Elenco dei tipi di eventi audio da rilevare (ad esempio: abbaio, allarme antincendio, urlo, parlato, grido)." + }, + "filters": { + "label": "Filtri audio", + "description": "Impostazioni di filtro per ciascun tipo di audio, come le soglie di confidenza utilizzate per ridurre i falsi positivi.", + "threshold": { + "label": "Affidabilità audio minima", + "description": "Soglia minima di fiducia affinché l'evento audio venga conteggiato." + } + }, + "enabled_in_config": { + "label": "Stato audio originale", + "description": "Indica se il rilevamento audio era originariamente abilitato nel file di configurazione statico." + }, + "num_threads": { + "label": "Processi di rilevamento", + "description": "Numero di processi da utilizzare per l'elaborazione del rilevamento audio." } }, "logger": { "description": "Consente di controllare il livello di dettaglio predefinito dei registri e le opzioni di sovrascrittura per ciascun componente.", "default": { - "label": "Livello di registrazione", + "label": "Livello del registro", "description": "Livello di dettaglio predefinito del registro globale (debug, info, warning, error)." }, "logs": { "label": "Livello di registro per processo", "description": "Opzioni di sovrsacrittura del livello di registro per ciascun componente, per aumentare o diminuire il livello di dettaglio dei singoli moduli." - } + }, + "label": "Registro" }, "auth": { "label": "Autenticazione", @@ -41,11 +67,440 @@ "reset_admin_password": { "label": "Reimposta la password di amministratore", "description": "Se la condizione è vera, reimposta la password dell'utente amministratore all'avvio e stampa la nuova password nei registri." + }, + "cookie_name": { + "label": "Nome del cookie JWT", + "description": "Nome del cookie utilizzato per memorizzare il token JWT per l'autenticazione nativa." + }, + "cookie_secure": { + "label": "Attributo dei cookie sicuri", + "description": "Imposta l'attributo 'sicuro' sul cookie di autenticazione; deve essere impostato su 'vero' quando si utilizza TLS." + }, + "session_length": { + "label": "Durata della sessione", + "description": "Durata della sessione in secondi per le sessioni basate su JWT." + }, + "refresh_time": { + "label": "Finestra di aggiornamento della sessione", + "description": "Quando una sessione sta per scadere entro questo numero di secondi, aggiornala per ripristinarne la durata completa." + }, + "trusted_proxies": { + "label": "Proxy affidabili", + "description": "Elenco degli indirizzi IP proxy attendibili utilizzati per determinare l'indirizzo IP del client ai fini della limitazione della velocità." + }, + "roles": { + "label": "Mappatura dei ruoli" + }, + "failed_login_rate_limit": { + "label": "Limiti di accesso non riusciti", + "description": "Regole di limitazione della frequenza per i tentativi di accesso non riusciti al fine di ridurre gli attacchi di forza bruta." } }, "ffmpeg": { "path": { "label": "Percorso FFmpeg" + }, + "label": "FFmpeg", + "hwaccel_args": { + "label": "Argomenti di accelerazione hardware", + "description": "Argomenti di accelerazione hardware per FFmpeg. Si consiglia di utilizzare preimpostazioni specifiche del provider." + }, + "inputs": { + "hwaccel_args": { + "label": "Argomenti di accelerazione hardware", + "description": "Argomenti di accelerazione hardware per questo flusso di ingresso." + } + }, + "gpu": { + "description": "Indice GPU predefinito utilizzato per l'accelerazione hardware, se disponibile." + } + }, + "detectors": { + "cpu": { + "num_threads": { + "label": "Numero di processi di rilevamento", + "description": "Il numero di processi utilizzati per l'inferenza basata sulla CPU." + }, + "description": "Rilevatore CPU TFLite che esegue modelli TensorFlow Lite sulla CPU di sistema senza accelerazione hardware. Sconsigliato." + }, + "label": "Dispositivo di rilevamento", + "hailo8l": { + "description": "Rilevatore Hailo-8/Hailo-8L che utilizza modelli HEF e l'SDK HailoRT per l'inferenza sul dispositivo Hailo." + }, + "openvino": { + "description": "Rilevatore OpenVINO per CPU AMD e Intel, GPU Intel e dispositivo Intel VPU." + }, + "rknn": { + "description": "Rilevatore RKNN per NPU Rockchip; esegue modelli RKNN compilati su dispositivo Rockchip." + }, + "synaptics": { + "description": "Rilevatore NPU Synaptics per modelli in formato .synap utilizzando l'SDK Synap su dispositivo Synaptics." + }, + "type": { + "label": "Tipo" + } + }, + "audio_transcription": { + "label": "Trascrizione audio", + "description": "Impostazioni per la trascrizione audio in tempo reale e del parlato utilizzata per eventi e sottotitoli in tempo reale.", + "enabled": { + "label": "Abilita la trascrizione audio" + }, + "live_enabled": { + "label": "Trascrizione dal vivo", + "description": "Abilita la trascrizione in diretta dell'audio non appena viene ricevuto." + }, + "model_size": { + "label": "Dimensioni del modello" + } + }, + "mqtt": { + "label": "MQTT", + "enabled": { + "label": "Abilita MQTT", + "description": "Abilita o disabilita l'integrazione MQTT per stato, eventi e istantanee." + }, + "host": { + "label": "Sistema MQTT", + "description": "Nome sistema o indirizzo IP del broker MQTT." + }, + "port": { + "label": "Porta MQTT", + "description": "Porta del broker MQTT (solitamente 1883 per MQTT standard)." + }, + "topic_prefix": { + "label": "Prefisso argomento", + "description": "Prefisso dell'argomento MQTT per tutti gli argomenti Frigate; deve essere univoco se si eseguono più istanze." + }, + "client_id": { + "label": "ID client", + "description": "Identificativo del client utilizzato per la connessione al broker MQTT; deve essere univoco per ogni istanza." + }, + "stats_interval": { + "label": "Intervallo statistiche", + "description": "Intervallo in secondi per la pubblicazione delle statistiche di sistema e della telecamera su MQTT." + }, + "user": { + "label": "Nome utente MQTT", + "description": "Nome utente MQTT facoltativo; può essere fornito tramite variabili d'ambiente o segreti." + }, + "password": { + "label": "Password MQTT", + "description": "Password MQTT facoltativa; può essere fornita tramite variabili d'ambiente o segreti." + }, + "tls_ca_certs": { + "label": "Certificati CA TLS", + "description": "Percorso al certificato CA per le connessioni TLS al broker (per certificati autofirmati)." + }, + "tls_client_cert": { + "label": "Certificato client", + "description": "Percorso del certificato client per l'autenticazione reciproca TLS; non impostare nome utente/password quando si utilizzano certificati client." + }, + "description": "Impostazioni per la connessione e la pubblicazione di dati di telemetria, istantanee e dettagli degli eventi a un broker MQTT.", + "tls_client_key": { + "label": "Chiave client", + "description": "Percorso della chiave privata per il certificato client." + }, + "tls_insecure": { + "label": "TLS non sicuro", + "description": "Consenti connessioni TLS non sicure saltando la verifica del nome sistema (sconsigliato)." + }, + "qos": { + "label": "QoS MQTT", + "description": "Livello di qualità del servizio per le pubblicazioni/sottoscrizioni MQTT (0, 1 o 2)." + } + }, + "onvif": { + "tls_insecure": { + "label": "Disabilita verifica TLS" + }, + "profile": { + "label": "Profilo ONVIF" + }, + "autotracking": { + "label": "Tracciamento automatico", + "enabled": { + "label": "Abilita il tracciamento automatico" + }, + "calibrate_on_startup": { + "label": "Calibra all'avvio" + }, + "zooming": { + "label": "Modalità ingrandimento" + }, + "zoom_factor": { + "label": "Fattore di ingrandimento" + }, + "track": { + "label": "Oggetti tracciati", + "description": "Elenco dei tipi di oggetto che dovrebbero attivare il tracciamento automatico." + }, + "required_zones": { + "label": "Zone richieste" + }, + "timeout": { + "label": "Scadenza di ritorno", + "description": "Attendi questo numero di secondi dopo aver perso il tracciamento prima di riportare la telecamera nella posizione preimpostata." + }, + "movement_weights": { + "description": "Valori di calibrazione generati automaticamente dalla calibrazione della telecamera. Non modificare manualmente." + }, + "enabled_in_config": { + "label": "Stato originale del tracciamento automatico" + } + }, + "ignore_time_mismatch": { + "label": "Ignora la discrepanza oraria" + }, + "label": "ONVIF", + "port": { + "label": "Porta ONVIF" + } + }, + "detect": { + "label": "Rilevamento oggetti", + "description": "Impostazioni per il ruolo di rilevamento/rilevamento utilizzato per eseguire il rilevamento degli oggetti e inizializzare i localizzatori.", + "enabled": { + "label": "Abilita il rilevamento degli oggetti", + "description": "Abilita o disabilita il rilevamento degli oggetti per tutte le telecamere; l'impostazione può essere modificata per ogni singola telecamera." + }, + "height": { + "label": "Rileva altezza", + "description": "Altezza (in pixel) dei fotogrammi utilizzati per il flusso di rilevamento; lascia vuoto per utilizzare la risoluzione nativa del flusso." + }, + "width": { + "label": "Rileva larghezza", + "description": "Larghezza (in pixel) dei fotogrammi utilizzati per il flusso di rilevamento; lascia vuoto per utilizzare la risoluzione nativa del flusso." + }, + "fps": { + "label": "Rileva FPS", + "description": "Numero di fotogrammi al secondo desiderati per eseguire il rilevamento; valori inferiori riducono l'utilizzo della CPU (il valore consigliato è 5, impostarne uno superiore - al massimo 10 - solo se si devono tracciare oggetti in movimento estremamente rapidi)." + }, + "min_initialized": { + "label": "Frame di inizializzazione minimi", + "description": "Numero di rilevamenti consecutivi necessari prima di creare un oggetto tracciato. Aumenta questo valore per ridurre le inizializzazioni errate. Il valore predefinito è FPS diviso per 2." + }, + "max_disappeared": { + "label": "Numero di fotogrammi scomparsi", + "description": "Numero di fotogrammi senza rilevamento prima che un oggetto tracciato venga considerato scomparso." + }, + "stationary": { + "label": "Configurazione degli oggetti stazionari", + "description": "Impostazioni per rilevare e gestire gli oggetti che rimangono fermi per un certo periodo di tempo.", + "interval": { + "label": "Intervallo stazionario", + "description": "Con quale frequenza (in fotogrammi) eseguire un controllo di rilevamento per confermare che l'oggetto sia stazionario." + }, + "threshold": { + "label": "Soglia stazionaria", + "description": "Numero di fotogrammi senza cambio di posizione necessari per contrassegnare un oggetto come stazionario." + } + } + }, + "face_recognition": { + "label": "Riconoscimento facciale", + "model_size": { + "label": "Dimensioni del modello" } + }, + "proxy": { + "logout_url": { + "description": "URL per reindirizzare gli utenti al momento della registrazione tramite il proxy.", + "label": "URL di disconnessione" + }, + "label": "Proxy", + "description": "Impostazioni per l'integrazione di Frigate dietro un proxy inverso che trasmette le intestazioni utente autenticate.", + "header_map": { + "label": "Mappatura dell'intestazione", + "description": "Mappa le intestazioni proxy in entrata ai campi utente e ruolo di Frigate per l'autenticazione basata su proxy.", + "user": { + "label": "Intestazione utente", + "description": "Intestazione contenente il nome utente autenticato fornito dal proxy a monte." + }, + "role": { + "label": "Intestazione ruolo", + "description": "Intestazione contenente il ruolo o i gruppi dell'utente autenticato, provenienti dal proxy a monte." + }, + "role_map": { + "label": "Mappatura dei ruoli", + "description": "Mappa i valori dei gruppi a monte dei ruoli di Frigate (ad esempio, mappa i gruppi di amministrazione al ruolo di amministratore)." + } + }, + "auth_secret": { + "label": "Segreto di proxy", + "description": "Segreto opzionale verificato rispetto all'intestazione X-Proxy-Secret per convalidare i proxy attendibili." + }, + "default_role": { + "label": "Ruolo predefinito", + "description": "Ruolo predefinito assegnato agli utenti autenticati tramite proxy quando non si applica alcuna mappatura dei ruoli (amministratore o visualizzatore)." + } + }, + "review": { + "label": "Revisiona" + }, + "ui": { + "label": "Interfaccia utente", + "description": "Preferenze dell'interfaccia utente come fuso orario, formato di data/ora e unità di misura." + }, + "profiles": { + "label": "Profili" + }, + "record": { + "label": "Registrazione", + "export": { + "description": "Impostazioni utilizzate durante l'esportazione delle registrazioni come timelapse e accelerazione hardware.", + "hwaccel_args": { + "description": "Argomenti di accelerazione hardware da utilizzare per le operazioni di esportazione/transcodifica." + } + } + }, + "snapshots": { + "label": "Istantanee" + }, + "motion": { + "label": "Rilevamento movimento", + "contour_area": { + "label": "Area di contorno" + }, + "improve_contrast": { + "label": "Migliora il contrasto" + } + }, + "objects": { + "label": "Oggetti" + }, + "live": { + "label": "Riproduzione in diretta" + }, + "timestamp_style": { + "label": "Stile orario" + }, + "database": { + "label": "Database", + "description": "Impostazioni per il database SQLite utilizzato da Frigate per memorizzare i metadati relativi agli oggetti tracciati e alle registrazioni.", + "path": { + "label": "Percorso del database", + "description": "Percorso del filesystem in cui verrà memorizzato il file del database Frigate SQLite." + } + }, + "go2rtc": { + "label": "go2rtc", + "description": "Impostazioni per il servizio di ritrasmissione integrato go2rtc utilizzato per la ritrasmissione e la traduzione di flussi dal vivo." + }, + "camera_mqtt": { + "label": "MQTT" + }, + "notifications": { + "label": "Notifiche", + "description": "Impostazioni per abilitare e controllare le notifiche per tutte le telecamere; possono essere sovrascritte per ogni singola telecamera.", + "enabled": { + "label": "Abilita le notifiche", + "description": "Abilita o disabilita le notifiche per tutte le telecamere; l'impostazione può essere modificata per ogni singola telecamera." + }, + "email": { + "label": "Email di notifica", + "description": "Indirizzo email utilizzato per le notifiche push o richiesto da alcuni fornitori di servizi di notifica." + }, + "cooldown": { + "label": "Periodo di raffreddamento", + "description": "Tempo di attesa (in secondi) tra le notifiche per evitare di inviare spam ai destinatari." + }, + "enabled_in_config": { + "label": "Stato delle notifiche originali", + "description": "Indica se le notifiche erano abilitate nella configurazione statica originale." + } + }, + "networking": { + "label": "Reti", + "description": "Impostazioni relative alla rete, come l'abilitazione di IPv6 per i dispositivi Frigate.", + "ipv6": { + "label": "Configurazione IPv6", + "description": "Impostazioni specifiche IPv6 per i servizi di rete Frigate.", + "enabled": { + "label": "Abilita IPv6", + "description": "Abilita il supporto IPv6 per i servizi Frigate (API e interfaccia utente) ove applicabile." + } + }, + "listen": { + "label": "Configurazione delle porte di ascolto", + "description": "Configurazione per le porte di ascolto interne ed esterne. Questa sezione è destinata agli utenti esperti. Per la maggior parte dei casi, si consiglia di modificare la sezione relativa alle porte nel file Docker Compose.", + "internal": { + "label": "Porta interna", + "description": "Porta di ascolto interna per Frigate (predefinita 5000)." + }, + "external": { + "label": "Porta esterna", + "description": "Porta di ascolto esterna per Frigate (predefinita 8971)." + } + } + }, + "tls": { + "label": "TLS" + }, + "telemetry": { + "label": "Telemetria" + }, + "birdseye": { + "label": "Birdseye", + "description": "Impostazioni per la vista composita Birdseye che unisce più flussi video di telecamere in un unico formato.", + "enabled": { + "label": "Abilita Birdseye", + "description": "Abilita o disabilita la funzione di visualizzazione Birdseye." + }, + "mode": { + "label": "Modalità di tracciamento", + "description": "Modalità per includere le telecamere in Birdseye: 'oggetti', 'movimento' o 'continuo'." + }, + "order": { + "label": "Posizione", + "description": "Posizione numerica che controlla l'ordine delle telecamere nella disposizione Birdseye." + } + }, + "model": { + "label": "Modello di rilevamento" + }, + "semantic_search": { + "label": "Ricerca semantica", + "triggers": { + "label": "Inneschi" + }, + "model_size": { + "label": "Dimensioni del modello" + } + }, + "lpr": { + "label": "Riconoscimento targhe", + "model_size": { + "label": "Dimensioni del modello" + } + }, + "classification": { + "label": "Classificazione oggetti", + "bird": { + "enabled": { + "label": "Classificazione uccelli" + } + } + }, + "genai": { + "roles": { + "label": "Ruoli" + }, + "model": { + "label": "Modello" + } + }, + "camera_ui": { + "description": "Visualizza l'ordine e la visibilità di questa telecamera nell'interfaccia utente. L'ordine influisce sul cruscotto predefinito. Per un controllo più granulare, utilizza i gruppi di telecamere.", + "order": { + "description": "L'ordine numerico viene utilizzato per ordinare le telecamere nell'interfaccia utente (cruscotto ed elenchi predefiniti); i numeri più grandi compaiono successivamente." + }, + "dashboard": { + "label": "Mostra nell'interfaccia utente", + "description": "Abilita o disabilita la visualizzazione di questa telecamera in ogni punto dell'interfaccia utente di Frigate. Disabilitando questa opzione, sarà necessario modificare manualmente la configurazione per visualizzare nuovamente la telecamera nell'interfaccia utente." + } + }, + "active_profile": { + "label": "Profilo attivo" } } diff --git a/web/public/locales/it/config/validation.json b/web/public/locales/it/config/validation.json index a37fcd3c71..eaba21cb21 100644 --- a/web/public/locales/it/config/validation.json +++ b/web/public/locales/it/config/validation.json @@ -4,5 +4,29 @@ "exclusiveMinimum": "Deve essere maggiore di {{limit}}", "exclusiveMaximum": "Deve essere minore di {{limit}}", "minLength": "Deve essere almeno {{limit}} carattere(i)", - "maxLength": "Deve essere al massimo {{limit}} carattere(i)" + "maxLength": "Deve essere al massimo {{limit}} carattere(i)", + "minItems": "Deve contenere almeno {{limit}} elementi", + "maxItems": "Deve avere al massimo {{limit}} elementi", + "pattern": "Formato non valido", + "required": "Questo campo è obbligatorio", + "type": "Tipo di valore non valido", + "enum": "Deve essere uno dei valori consentiti", + "const": "Il valore non corrisponde alla costante prevista", + "uniqueItems": "Tutti gli elementi devono essere unici", + "format": "Formato non valido", + "additionalProperties": "Proprietà sconosciuta non consentita", + "oneOf": "Deve corrispondere esattamente a uno degli schemi consentiti", + "anyOf": "Deve corrispondere ad almeno uno degli schemi consentiti", + "proxy": { + "header_map": { + "roleHeaderRequired": "L'intestazione del ruolo è obbligatoria quando si configurano le mappature dei ruoli." + } + }, + "ffmpeg": { + "inputs": { + "rolesUnique": "Ciascun ruolo può essere assegnato a un solo flusso di ingresso.", + "detectRequired": "Ad almeno un flusso di ingresso deve essere assegnato il ruolo di 'rilevamento'.", + "hwaccelDetectOnly": "Solo il flusso di ingresso con il ruolo di rilevamento può definire argomenti di accelerazione hardware." + } + } } diff --git a/web/public/locales/it/objects.json b/web/public/locales/it/objects.json index 069acd07be..230931d635 100644 --- a/web/public/locales/it/objects.json +++ b/web/public/locales/it/objects.json @@ -121,5 +121,9 @@ "royal_mail": "Royal Mail", "school_bus": "Autobus scolastico", "skunk": "Puzzola", - "kangaroo": "Canguro" + "kangaroo": "Canguro", + "baby": "Bambino", + "baby_stroller": "Passeggino per bambini", + "rickshaw": "Risciò", + "rodent": "Roditore" } diff --git a/web/public/locales/it/views/chat.json b/web/public/locales/it/views/chat.json new file mode 100644 index 0000000000..a56c5a4ee1 --- /dev/null +++ b/web/public/locales/it/views/chat.json @@ -0,0 +1,64 @@ +{ + "documentTitle": "Chat - Frigate", + "title": "Chat Frigate", + "subtitle": "Il tuo assistente IA per la gestione e l'analisi delle telecamere", + "placeholder": "Chiedi qualsiasi cosa...", + "error": "Si è verificato un errore. Riprova.", + "processing": "Elaborazione in corso...", + "toolsUsed": "Utilizzato: {{tools}}", + "showTools": "Mostra strumenti ({{count}})", + "hideTools": "Nascondi strumenti", + "call": "Chiama", + "result": "Risultato", + "arguments": "Argomenti:", + "response": "Risposta:", + "attachment_chip_label": "{{label}} sulla {{camera}}", + "attachment_chip_remove": "Rimuovi allegato", + "open_in_explore": "Apri in Esplora", + "attach_event_aria": "Allega evento {{eventId}}", + "attachment_picker_paste_label": "Oppure incolla ID dell'evento", + "attachment_picker_attach": "Allega", + "attachment_picker_placeholder": "Allega un evento", + "quick_reply_find_similar": "Trova avvistamenti simili", + "quick_reply_tell_me_more": "Raccontami di più su questo", + "quick_reply_when_else": "In quali altre occasioni è stato avvistato?", + "quick_reply_find_similar_text": "Trova avvistamenti simili a questo.", + "quick_reply_tell_me_more_text": "Raccontami di più su questo.", + "quick_reply_when_else_text": "Quando è stato osservato in altre volte?", + "anchor": "Riferimento", + "similarity_score": "Somiglianza", + "no_similar_objects_found": "Nessun oggetto simile trovato.", + "semantic_search_required": "Per trovare oggetti simili è necessario abilitare la ricerca semantica.", + "send": "Invia", + "suggested_requests": "Prova a chiedere:", + "starting_requests": { + "show_recent_events": "Mostra gli eventi recenti", + "show_camera_status": "Mostra lo stato della telecamera", + "recap": "Cosa è successo mentre ero via?", + "watch_camera": "Guarda la telecamera per attività" + }, + "starting_requests_prompts": { + "show_recent_events": "Mostrami gli eventi recenti dell'ultima ora", + "show_camera_status": "Qual è lo stato attuale delle mie telecamere?", + "recap": "Cosa è successo mentre ero via?", + "watch_camera": "Controlla la porta d'ingresso e fammi sapere se arriva qualcuno" + }, + "new_chat": "Nuova chat", + "settings": { + "title": "Impostazioni chat", + "show_stats": { + "title": "Mostra statistiche", + "desc": "Mostra la frequenza di generazione e la dimensione del contesto per le risposte in chat.", + "while_generating": "Durante la generazione", + "always": "Sempre" + }, + "auto_scroll": { + "title": "Scorrimento automatico", + "desc": "Segui i nuovi messaggi non appena arrivano." + } + }, + "stats": { + "context": "{{tokens}} token", + "tokens_per_second": "{{rate}} t/s" + } +} diff --git a/web/public/locales/it/views/events.json b/web/public/locales/it/views/events.json index f1a9255f7e..4a31d9526f 100644 --- a/web/public/locales/it/views/events.json +++ b/web/public/locales/it/views/events.json @@ -2,7 +2,7 @@ "alerts": "Avvisi", "detections": "Rilevamenti", "motion": { - "label": "Movimenti", + "label": "Movimento", "only": "Solo movimenti" }, "empty": { @@ -20,9 +20,11 @@ }, "markTheseItemsAsReviewed": "Segna questi elementi come visti", "markAsReviewed": "Segna come visto", - "documentTitle": "Rivedi - Frigate", + "documentTitle": "Revisiona - Frigate", "allCameras": "Tutte le camere", - "timeline": "Cronologia", + "timeline": { + "label": "Linea temporale" + }, "timeline.aria": "Seleziona la cronologia", "events": { "label": "Eventi", @@ -30,7 +32,9 @@ "noFoundForTimePeriod": "Nessun evento trovato per questo intervallo." }, "recordings": { - "documentTitle": "Registrazioni - Frigate" + "documentTitle": "Registrazioni - Frigate", + "invalidSharedLink": "Impossibile aprire il collegamento alla registrazione con orario a causa di un errore di analisi.", + "invalidSharedCamera": "Impossibile aprire il collegamento alla registrazione con orario a causa di una telecamera sconosciuta o non autorizzata." }, "calendarFilter": { "last24Hours": "Ultime 24 ore" @@ -44,7 +48,7 @@ "threateningActivity": "Attività minacciosa", "detail": { "noDataFound": "Nessun dato dettagliato da rivedere", - "aria": "Attiva/disattiva la visualizzazione dettagliata", + "aria": "Abilita/disabilita la visualizzazione dettagliata", "trackedObject_one": "{{count}} oggetto", "trackedObject_other": "{{count}} oggetti", "noObjectDetailData": "Non sono disponibili dati dettagliati sull'oggetto.", @@ -64,5 +68,28 @@ "normalActivity": "Normale", "needsReview": "Necessita revisione", "securityConcern": "Rischio per la sicurezza", - "select_all": "Tutti" + "select_all": "Tutti", + "motionSearch": { + "menuItem": "Ricerca movimento", + "openMenu": "Opzioni telecamera" + }, + "motionPreviews": { + "title": "Anteprime di movimento: {{camera}}", + "mobileSettingsTitle": "Impostazioni di anteprima del movimento", + "mobileSettingsDesc": "Regola la velocità di riproduzione e la luminosità, poi scegli una data per rivedere i filmati che mostrano solo il movimento.", + "dim": "Attenua", + "dimAria": "Regola l'intensità della luce", + "dimDesc": "Aumenta l'attenuazione per migliorare la visibilità delle aree in movimento.", + "speed": "Velocità", + "speedAria": "Seleziona la velocità di riproduzione dell'anteprima", + "speedDesc": "Scegli la velocità di riproduzione dei video di anteprima.", + "back": "Indietro", + "empty": "Nessuna anteprima disponibile", + "noPreview": "Anteprima non disponibile", + "seekAria": "Cerca il riproduttore {{camera}} a {{time}}", + "filter": "Filtro", + "filterDesc": "Seleziona le aree per visualizzare solo i video con movimento in quelle regioni.", + "filterClear": "Pulisci", + "menuItem": "Visualizza le anteprime del movimento" + } } diff --git a/web/public/locales/it/views/explore.json b/web/public/locales/it/views/explore.json index 7cb9b4b806..e01329aada 100644 --- a/web/public/locales/it/views/explore.json +++ b/web/public/locales/it/views/explore.json @@ -224,8 +224,8 @@ "aria": "Scarica istantanea pulita" }, "debugReplay": { - "label": "Riproduzione di correzione", - "aria": "Visualizza questo oggetto tracciato nella vista di riproduzione di correzione" + "label": "Riproduzione di correzioni", + "aria": "Visualizza questo oggetto tracciato nella vista di riproduzione di correzioni" }, "more": { "aria": "Altri" @@ -289,7 +289,10 @@ "zones": "Zone", "ratio": "Rapporto", "area": "Area", - "score": "Punteggio" + "score": "Punteggio", + "computedScore": "Punteggio calcolato", + "topScore": "Punteggio massimo", + "toggleAdvancedScores": "Attiva/disattiva i punteggi avanzati" } }, "annotationSettings": { diff --git a/web/public/locales/it/views/exports.json b/web/public/locales/it/views/exports.json index 63bebbefa7..df3ee48982 100644 --- a/web/public/locales/it/views/exports.json +++ b/web/public/locales/it/views/exports.json @@ -14,7 +14,9 @@ "toast": { "error": { "renameExportFailed": "Impossibile rinominare l'esportazione: {{errorMessage}}", - "assignCaseFailed": "Impossibile aggiornare l'assegnazione del caso: {{errorMessage}}" + "assignCaseFailed": "Impossibile aggiornare l'assegnazione del caso: {{errorMessage}}", + "caseSaveFailed": "Impossibile salvare il caso: {{errorMessage}}", + "caseDeleteFailed": "Impossibile eliminare il caso: {{errorMessage}}" } }, "tooltip": { @@ -22,7 +24,8 @@ "downloadVideo": "Scarica video", "editName": "Modifica nome", "deleteExport": "Elimina esportazione", - "assignToCase": "Aggiungi al caso" + "assignToCase": "Aggiungi al caso", + "removeFromCase": "Rimuovi dal caso" }, "headings": { "cases": "Casi", @@ -35,5 +38,91 @@ "newCaseOption": "Crea un nuovo caso", "nameLabel": "Nome del caso", "descriptionLabel": "Descrizione" + }, + "toolbar": { + "newCase": "Nuovo caso", + "addExport": "Aggiungi esportazione", + "editCase": "Modifica caso", + "deleteCase": "Elimina il caso" + }, + "deleteCase": { + "label": "Eliminare il caso", + "desc": "Sei sicuro di voler eliminare {{caseName}}?", + "descKeepExports": "Le esportazioni rimarranno disponibili come esportazioni non categorizzate.", + "descDeleteExports": "In questo caso, tutte le esportazioni verranno eliminate definitivamente.", + "deleteExports": "Elimina anche le esportazioni" + }, + "caseCard": { + "emptyCase": "Ancora nessuna esportazione" + }, + "jobCard": { + "defaultName": "{{camera}} esporta", + "queued": "In coda", + "running": "In esecuzione", + "preparing": "Preparazione", + "copying": "Copia", + "encoding": "Codifica", + "encodingRetry": "Codifica (riprova)", + "finalizing": "Finalizzazione" + }, + "caseView": { + "noDescription": "Nessuna descrizione", + "createdAt": "Creato {{value}}", + "exportCount_one": "1 esportazione", + "exportCount_other": "{{count}} esportazioni", + "cameraCount_one": "1 telecamera", + "cameraCount_other": "{{count}} telecamere", + "showMore": "Mostra altro", + "showLess": "Mostra meno", + "emptyTitle": "Questo caso è vuoto", + "emptyDescription": "Aggiungi le esportazioni esistenti non categorizzate per mantenere il caso organizzato.", + "emptyDescriptionNoExports": "Al momento non sono disponibili esportazioni non categorizzate da aggiungere." + }, + "caseEditor": { + "createTitle": "Crea un caso", + "editTitle": "Modifica caso", + "namePlaceholder": "Nome del caso", + "descriptionPlaceholder": "Aggiungi note o contesto per questo caso" + }, + "addExportDialog": { + "title": "Aggiungi l'esportazione a {{caseName}}", + "searchPlaceholder": "Cerca esportazioni non categorizzate", + "empty": "Nessuna esportazione non categorizzata corrisponde a questa ricerca.", + "addButton_one": "Aggiungi 1 esportazione", + "addButton_other": "Aggiungi {{count}} esportazioni", + "adding": "In aggiunta..." + }, + "selected_one": "{{count}} selezionati", + "selected_other": "{{count}} selezionati", + "bulkActions": { + "addToCase": "Aggiungi al caso", + "moveToCase": "Sposta al caso", + "removeFromCase": "Rimuovi dal caso", + "delete": "Elimina", + "deleteNow": "Elimina ora" + }, + "bulkDelete": { + "title": "Elimina le esportazioni", + "desc_one": "Sei sicuro di voler eliminare l'esportazione {{count}}?", + "desc_other": "Sei sicuro di voler eliminare {{count}} esportazioni?" + }, + "bulkRemoveFromCase": { + "title": "Rimuovi dal caso", + "desc_one": "Rimuovere l'esportazione {{count}} da questo caso?", + "desc_other": "Rimuovere {{count}} esportazioni da questo caso?", + "descKeepExports": "Le esportazioni verranno spostate nella categoria \"non classificate\".", + "descDeleteExports": "Le esportazioni verranno eliminate definitivamente.", + "deleteExports": "Elimina almeno le esportazioni" + }, + "bulkToast": { + "success": { + "delete": "Esportazioni eliminate con successo", + "reassign": "Assegnazione del caso aggiornata con successo", + "remove": "Esportazioni rimosse con successo dal caso" + }, + "error": { + "deleteFailed": "Impossibile eliminare le esportazioni: {{errorMessage}}", + "reassignFailed": "Impossibile aggiornare l'assegnazione del caso: {{errorMessage}}" + } } } diff --git a/web/public/locales/it/views/faceLibrary.json b/web/public/locales/it/views/faceLibrary.json index 12d640aa8f..842881fc69 100644 --- a/web/public/locales/it/views/faceLibrary.json +++ b/web/public/locales/it/views/faceLibrary.json @@ -20,7 +20,11 @@ "title": "Riconoscimenti recenti", "aria": "Seleziona i riconoscimenti recenti", "empty": "Non ci sono recenti tentativi di riconoscimento facciale", - "titleShort": "Recente" + "titleShort": "Recente", + "emptyNoLibrary": { + "title": "Carica un volto", + "description": "Affinché il riconoscimento facciale funzioni è necessario aggiungere almeno un volto alla libreria." + } }, "button": { "addFace": "Aggiungi volto", diff --git a/web/public/locales/it/views/live.json b/web/public/locales/it/views/live.json index 7aa3302c94..45696b1256 100644 --- a/web/public/locales/it/views/live.json +++ b/web/public/locales/it/views/live.json @@ -110,7 +110,8 @@ }, "recording": { "enable": "Abilita registrazione", - "disable": "Disabilita registrazione" + "disable": "Disabilita registrazione", + "disabledInConfig": "Per questa telecamera è necessario prima abilitare la registrazione nelle impostazioni." }, "audioDetect": { "enable": "Abilita rilevamento audio", @@ -157,7 +158,7 @@ }, "effectiveRetainMode": { "modes": { - "all": "Tutto", + "all": "Tutti", "motion": "Movimento", "active_objects": "Oggetti attivi" }, diff --git a/web/public/locales/it/views/motionSearch.json b/web/public/locales/it/views/motionSearch.json new file mode 100644 index 0000000000..06a80167d9 --- /dev/null +++ b/web/public/locales/it/views/motionSearch.json @@ -0,0 +1,77 @@ +{ + "documentTitle": "Ricerca movimenti - Frigate", + "title": "Ricerca movimenti", + "description": "Disegna un poligono per definire la regione di interesse e specifica un intervallo di tempo per la ricerca di cambiamenti di movimento all'interno di tale regione.", + "selectCamera": "La ricerca di movimenti è in fase di caricamento", + "startSearch": "Avvia ricerca", + "searchStarted": "Ricerca avviata", + "searchCancelled": "Ricerca annullata", + "cancelSearch": "Annulla", + "searching": "Ricerca in corso.", + "searchComplete": "Ricerca completata", + "noResultsYet": "Esegui una ricerca per trovare le variazioni di movimento nella regione selezionata", + "noChangesFound": "Nessuna modifica dei pixel rilevata nella regione selezionata", + "changesFound_one": "Trovato {{count}} cambiamento di movimento", + "changesFound_many": "Trovati {{count}} cambiamenti di movimento", + "changesFound_other": "Trovati {{count}} cambiamenti di movimento", + "framesProcessed": "{{count}} fotogrammi elaborati", + "jumpToTime": "Vai a questo momento", + "results": "Risultati", + "showSegmentHeatmap": "Mappa di calore", + "newSearch": "Nuova ricerca", + "clearResults": "Pulisci risultati", + "clearROI": "Pulisci poligono", + "polygonControls": { + "points_one": "{{count}} punto", + "points_many": "{{count}} punti", + "points_other": "{{count}} punti", + "undo": "Annulla ultimo punto", + "reset": "Reimposta poligono" + }, + "motionHeatmapLabel": "Mappa di calore del movimento", + "dialog": { + "title": "Ricerca di movimento", + "cameraLabel": "Telecamera", + "previewAlt": "Anteprima della telecamera per {{camera}}" + }, + "timeRange": { + "title": "Intervallo di ricerca", + "start": "Ora di inizio", + "end": "Ora di fine" + }, + "settings": { + "title": "Impostazioni di ricerca", + "parallelMode": "Modalità parallela", + "parallelModeDesc": "Scansiona più segmenti di registrazione contemporaneamente (più veloce, ma richiede un utilizzo della CPU significativamente maggiore)", + "threshold": "Soglia di sensibilità", + "thresholdDesc": "Valori più bassi indicano cambiamenti minori (1-255)", + "minArea": "Area di cambio minimo", + "minAreaDesc": "Percentuale minima della regione di interesse che deve cambiare per essere considerata significativa", + "frameSkip": "Salta fotogrammi", + "frameSkipDesc": "Elabora ogni N-esimo fotogramma. Imposta questo valore sulla frequenza dei fotogrammi della tua telecamera per elaborare un fotogramma al secondo (ad esempio, 5 per una telecamera a 5 FPS, 30 per una telecamera a 30 FPS). Valori più alti saranno più veloci, ma potrebbero perdere eventi di movimento brevi.", + "maxResults": "Risultati massimi", + "maxResultsDesc": "Interrompi dopo questo numero di orario corrispondenti" + }, + "errors": { + "noCamera": "Seleziona una telecamera", + "noROI": "Disegna una regione di interesse", + "noTimeRange": "Seleziona un intervallo di tempo", + "invalidTimeRange": "L'ora di fine deve essere successiva all'ora di inizio", + "searchFailed": "Ricerca non riuscita: {{message}}", + "polygonTooSmall": "Il poligono deve avere almeno 3 punti", + "unknown": "Errore sconosciuto" + }, + "changePercentage": "{{percentage}}% modificato", + "metrics": { + "title": "Metriche di ricerca", + "segmentsScanned": "Segmenti scansionati", + "segmentsProcessed": "Elaborati", + "segmentsSkippedInactive": "Saltati (nessuna attività)", + "segmentsSkippedHeatmap": "Saltati (nessuna sovrapposizione del ROI)", + "fallbackFullRange": "Scansione gamma completa alternativa", + "framesDecoded": "Fotogrammi decodificati", + "wallTime": "Tempo di ricerca", + "segmentErrors": "Errori di segmento", + "seconds": "{{seconds}}s" + } +} diff --git a/web/public/locales/it/views/replay.json b/web/public/locales/it/views/replay.json new file mode 100644 index 0000000000..fc698eb04a --- /dev/null +++ b/web/public/locales/it/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "Riproduzione correzioni", + "description": "Riproduci le registrazioni della telecamera per le correzioni. L'elenco degli oggetti mostra un riepilogo ritardato degli oggetti rilevati e la scheda Messaggi mostra un flusso di messaggi interni di Frigate tratti dal filmato riprodotto.", + "websocket_messages": "Messaggi", + "dialog": { + "title": "Avvia la riproduzione delle correzioni", + "description": "Crea una telecamera di riproduzione temporanea che riproduca in ciclo i filmati storici per la correzione dei problemi di rilevamento e tracciamento degli oggetti. La telecamera di riproduzione avrà la stessa configurazione di rilevamento della telecamera sorgente. Scegli un intervallo di tempo da cui iniziare.", + "camera": "Telecamera sorgente", + "timeRange": "Intervallo di tempo", + "preset": { + "1m": "Ultimo minuto", + "5m": "Ultimi 5 minuti", + "timeline": "Dalla cronologia", + "custom": "Personalizza" + }, + "startButton": "Avvia riproduzione", + "selectFromTimeline": "Seleziona", + "starting": "Avvio riproduzione...", + "startLabel": "Inizio", + "endLabel": "Fine", + "toast": { + "error": "Impossibile avviare la riproduzione di correzioni: {{error}}", + "alreadyActive": "È già attiva una sessione di riproduzione", + "stopError": "Impossibile interrompere la riproduzione di correzioni: {{error}}", + "goToReplay": "Vai alla riproduzione" + } + }, + "page": { + "noSession": "Nessuna sessione di riproduzione di correzioni attiva", + "noSessionDesc": "Avvia una riproduzione di correzioni dalla visualizzazione Cronologia facendo clic sul pulsante Azioni nella barra degli strumenti e scegliendo Riproduzione di correzioni.", + "goToRecordings": "Vai alla Cronologia", + "preparingClip": "Preparazione video…", + "preparingClipDesc": "Frigate sta unendo le registrazioni relative all'intervallo di tempo selezionato. Questa operazione può richiedere un minuto per intervalli più lunghi.", + "startingCamera": "Avvio della riproduzione di correzioni…", + "startError": { + "title": "Impossibile avviare la riproduzione di correzioni", + "back": "Torna alla Cronologia" + }, + "sourceCamera": "Telecamera sorgente", + "replayCamera": "Telecamera di riproduzione", + "initializingReplay": "Inizializzazione riproduzione di correzioni...", + "stoppingReplay": "Interruzione riproduzione di correzioni...", + "stopReplay": "Ferma riproduzione", + "confirmStop": { + "title": "Interrompere la riproduzione di correzioni?", + "description": "In questo modo la sessione verrà interrotta e tutti i dati temporanei verranno eliminati. Sei sicuro?", + "confirm": "Ferma riproduzione", + "cancel": "Annulla" + }, + "activity": "Attività", + "objects": "Elenco degli oggetti", + "audioDetections": "Rilevamento audio", + "noActivity": "Nessuna attività rilevata", + "activeTracking": "Tracciamento attivo", + "noActiveTracking": "Nessun tracciamento attivo", + "configuration": "Configurazione", + "configurationDesc": "Regola con precisione le impostazioni di rilevamento del movimento e tracciamento degli oggetti per la telecamera Riproduzione di correzioni. Nessuna modifica verrà salvata nel file di configurazione di Frigate." + } +} diff --git a/web/public/locales/it/views/settings.json b/web/public/locales/it/views/settings.json index 38951855ed..042c4694e0 100644 --- a/web/public/locales/it/views/settings.json +++ b/web/public/locales/it/views/settings.json @@ -9,10 +9,14 @@ "object": "Correzioni - Frigate", "general": "Impostazioni interfaccia - Frigate", "frigatePlus": "Impostazioni Frigate+ - Frigate", - "notifications": "Impostazioni di notifiche - Frigate", + "notifications": "Impostazioni di notifica - Frigate", "enrichments": "Impostazioni di miglioramento - Frigate", "cameraManagement": "Gestisci telecamere - Frigate", - "cameraReview": "Impostazioni revisione telecamera - Frigate" + "cameraReview": "Impostazioni revisione telecamera - Frigate", + "globalConfig": "Configurazione globale - Frigate", + "cameraConfig": "Configurazione telecamera - Frigate", + "maintenance": "Manutenzione - Frigate", + "profiles": "Profili - Frigate" }, "frigatePlus": { "snapshotConfig": { @@ -22,7 +26,7 @@ "camera": "Telecamera", "cleanCopySnapshots": "Istantanee clean_copy" }, - "desc": "Per inviare a Frigate+ è necessario che nella configurazione siano abilitate sia le istantanee che le istantanee clean_copy.", + "desc": "Per inviare i dati a Frigate+ è necessario abilitare le istantanee nella configurazione.", "documentation": "Leggi la documentazione", "title": "Configurazione istantanee" }, @@ -48,7 +52,15 @@ "modelType": "Tipo di modello", "modelSelect": "Qui puoi selezionare i modelli disponibili su Frigate+. Nota: puoi selezionare solo i modelli compatibili con la configurazione attuale del tuo rilevatore.", "title": "Informazioni sul modello", - "loading": "Caricamento informazioni sul modello…" + "loading": "Caricamento informazioni sul modello…", + "noModelsAvailable": "Nessun modello disponibile", + "noModelLoaded": "Al momento non è caricato alcun modello di Frigate+.", + "selectModel": "Seleziona un modello", + "filter": { + "ariaLabel": "Filtra i modelli per tipo", + "baseModels": "Modelli base", + "fineTunedModels": "Modelli ottimizzati" + } }, "toast": { "error": "Impossibile salvare le modifiche alla configurazione: {{errorMessage}}", @@ -56,7 +68,14 @@ }, "title": "Impostazioni Frigate+", "restart_required": "Riavvio richiesto (modello Frigate+ modificato)", - "unsavedChanges": "Modifiche alle impostazioni di Frigate+ non salvate" + "unsavedChanges": "Modifiche alle impostazioni di Frigate+ non salvate", + "description": "Frigate+ è un servizio in abbonamento che offre accesso a funzionalità e capacità aggiuntive per la tua istanza di Frigate, tra cui la possibilità di utilizzare modelli di rilevamento oggetti personalizzati addestrati sui tuoi dati. Puoi gestire le impostazioni del tuo modello Frigate+ qui.", + "cardTitles": { + "api": "API", + "currentModel": "Modello attuale", + "otherModels": "Altri modelli", + "configuration": "Configurazione" + } }, "debug": { "timestamp": { @@ -146,6 +165,12 @@ "title": "{{polygonName}} è stato salvato.", "noName": "La maschera di movimento è stata salvata." } + }, + "defaultName": "Maschera di movimento {{number}}", + "name": { + "title": "Nome", + "description": "Un nome amichevole opzionale per questa maschera di movimento.", + "placeholder": "Inserisci un nome..." } }, "form": { @@ -186,6 +211,10 @@ "zone": "zona", "motion_mask": "maschera di movimento", "object_mask": "maschera di oggetto" + }, + "revertOverride": { + "title": "Ripristina la configurazione di base", + "desc": "Questo rimuoverà la sovrascrittura del profilo per {{type}} {{name}} e ripristinerà la configurazione di base." } }, "inertia": { @@ -202,6 +231,17 @@ "error": { "mustBeGreaterOrEqualTo": "La soglia di velocità deve essere maggiore o uguale a 0,1." } + }, + "id": { + "error": { + "mustNotBeEmpty": "L'ID non deve essere vuoto.", + "alreadyExists": "Esiste già una maschera con questo ID per questa telecamera." + } + }, + "name": { + "error": { + "mustNotBeEmpty": "Il nome non deve essere vuoto." + } } }, "filter": { @@ -230,7 +270,7 @@ "desc": "Specifica una velocità minima affinché gli oggetti vengano presi in considerazione in questa zona.", "toast": { "error": { - "pointLengthError": "La stima della velocità è stata disattivata per questa zona. Le zone con stima della velocità devono avere esattamente 4 punti.", + "pointLengthError": "La stima della velocità è stata disabilitata per questa zona. Le zone con stima della velocità devono avere esattamente 4 punti.", "loiteringTimeError": "Le zone con tempi di permanenza superiori a 0 non devono essere utilizzate per la stima della velocità." } }, @@ -267,6 +307,10 @@ "allObjects": "Tutti gli oggetti", "toast": { "success": "La zona ({{zoneName}}) è stata salvata." + }, + "enabled": { + "title": "Abilitata", + "description": "Indica se questa zona è attiva e abilitata nel file di configurazione. Se disabilitata, non può essere abilitata tramite MQTT. Le zone disabilitate vengono ignorate in fase di esecuzione." } }, "objectMasks": { @@ -293,11 +337,26 @@ } }, "label": "Maschere di oggetti", - "documentTitle": "Modifica maschera oggetti - Frigate" + "documentTitle": "Modifica maschera oggetti - Frigate", + "name": { + "title": "Nome", + "placeholder": "Inserisci un nome...", + "description": "Un nome amichevole facoltativo per questa maschera oggetto." + } }, "restart_required": "Riavvio richiesto (maschere/zone modificate)", "motionMaskLabel": "Maschera di movimento {{number}}", - "objectMaskLabel": "Maschera di oggetto {{number}}" + "objectMaskLabel": "Maschera di oggetto {{number}}", + "masks": { + "enabled": { + "title": "Abilitata", + "description": "Indica se questa maschera è abilitata nel file di configurazione. Se disabilitata, non può essere abilitata tramite MQTT. Le maschere disabilitate vengono ignorate in fase di esecuzione." + } + }, + "disabledInConfig": "L'elemento è disabilitato nel file di configurazione", + "addDisabledProfile": "Aggiungi prima alla configurazione di base, poi sovrascrivi nel profilo", + "profileBase": "(base)", + "profileOverride": "(sovrascrivi)" }, "cameraSetting": { "camera": "Telecamera", @@ -380,7 +439,7 @@ "notifications": "Notifiche", "ui": "Interfaccia utente", "classification": "Classificazione", - "cameras": "Impostazioni telecamera", + "cameras": "Configurazione telecamera", "masksAndZones": "Maschere / Zone", "debug": "Correzioni", "users": "Utenti", @@ -389,18 +448,76 @@ "triggers": "Inneschi", "roles": "Ruoli", "cameraManagement": "Gestione", - "cameraReview": "Rivedi", - "profiles": "Profili" + "cameraReview": "Revisiona", + "profiles": "Profili", + "general": "Generale", + "globalConfig": "Configurazione globale", + "system": "Sistema", + "integrations": "Integrazioni", + "uiSettings": "Impostazioni interfaccia utente", + "globalDetect": "Rilevamento oggetti", + "globalRecording": "Registrazione", + "globalSnapshots": "Istantanee", + "globalFfmpeg": "FFmpeg", + "globalMotion": "Rilevamento movimento", + "globalObjects": "Oggetti", + "globalReview": "Revisiona", + "globalAudioEvents": "Rilevamento audio", + "globalLivePlayback": "Riproduzione in diretta", + "globalTimestampStyle": "Stile orario", + "systemDatabase": "Database", + "systemTls": "TLS", + "systemAuthentication": "Autenticazione", + "systemNetworking": "Reti", + "systemProxy": "Proxy", + "systemUi": "Interfaccia utente", + "systemLogging": "Registro", + "systemEnvironmentVariables": "Variabili d'ambiente", + "systemTelemetry": "Telemetria", + "systemBirdseye": "Birdseye", + "systemFfmpeg": "FFmpeg", + "systemDetectorHardware": "Dispositivo di rilevamento", + "systemDetectionModel": "Modello di rilevamento", + "systemMqtt": "MQTT", + "systemGo2rtcStreams": "Flussi go2rtc", + "integrationSemanticSearch": "Ricerca semantica", + "integrationGenerativeAi": "IA Generativa", + "integrationFaceRecognition": "Riconoscimento facciale", + "integrationLpr": "Riconoscimento targhe", + "integrationObjectClassification": "Classificazione oggetti", + "integrationAudioTranscription": "Trascrizione audio", + "cameraDetect": "Rilevamento oggetti", + "cameraFfmpeg": "FFmpeg", + "cameraRecording": "Registrazione", + "cameraSnapshots": "Istantanee", + "cameraMotion": "Rilevamento movimento", + "cameraObjects": "Oggetti", + "cameraConfigReview": "Revisiona", + "cameraAudioEvents": "Rilevamento audio", + "cameraAudioTranscription": "Trascrizione audio", + "cameraNotifications": "Notifiche", + "cameraLivePlayback": "Riproduzione in diretta", + "cameraBirdseye": "Birdseye", + "cameraFaceRecognition": "Riconoscimento facciale", + "cameraLpr": "Riconoscimento targhe", + "cameraMqttConfig": "MQTT", + "cameraOnvif": "ONVIF", + "cameraTimestampStyle": "Stile orario", + "cameraUi": "Interfaccia utente telecamera", + "mediaSync": "Sincronizzazione multimediale", + "cameraMqtt": "MQTT telecamera", + "maintenance": "Manutenzione", + "regionGrid": "Griglia di regioni" }, "users": { "dialog": { "changeRole": { "roleInfo": { - "viewerDesc": "Limitato solo alle schermate dal vivo, alle revisioni, alle esplorazioni e alle esportazioni.", + "viewerDesc": "Limitato solo ai cruscotti dal vivo, alle revisioni, alle esplorazioni e alle esportazioni.", "intro": "Seleziona il ruolo appropriato per questo utente:", "admin": "Amministratore", "adminDesc": "Accesso completo a tutte le funzionalità.", - "viewer": "Spettatore", + "viewer": "Visualizzatore", "customDesc": "Ruolo personalizzato con accesso specifico alla telecamera." }, "title": "Cambia ruolo utente", @@ -424,7 +541,7 @@ "placeholder": "Conferma password" }, "strength": { - "title": "Forza della password: ", + "title": "Complessità della password: ", "weak": "Debole", "medium": "Media", "strong": "Forte", @@ -511,14 +628,14 @@ "general": { "liveDashboard": { "automaticLiveView": { - "desc": "Passa automaticamente alla visualizzazione dal vivo di una telecamera quando viene rilevata attività. Disattivando questa opzione, le immagini statiche della telecamera nella schermata dal vivo verranno aggiornate solo una volta al minuto.", + "desc": "Passa automaticamente alla visualizzazione dal vivo di una telecamera quando viene rilevata attività. Disabilitando questa opzione, le immagini statiche della telecamera nel cruscotto dal vivo verranno aggiornate solo una volta al minuto.", "label": "Visualizzazione automatica dal vivo" }, "playAlertVideos": { "label": "Riproduci video di avvisi", - "desc": "Per impostazione predefinita, gli avvisi recenti nella schermata dal vivo vengono riprodotti come brevi video in ciclo. Disattiva questa opzione per visualizzare solo un'immagine statica degli avvisi recenti su questo dispositivo/browser." + "desc": "Per impostazione predefinita, gli avvisi recenti nel cruscotto dal vivo vengono riprodotti come brevi video in ciclo. Disabilita questa opzione per visualizzare solo un'immagine statica degli avvisi recenti su questo dispositivo/browser." }, - "title": "Schermata dal vivo", + "title": "Cruscotto dal vivo", "displayCameraNames": { "label": "Mostra sempre i nomi delle telecamere", "desc": "Mostra sempre i nomi delle telecamere in una scheda nel cruscotto della visualizzazione dal vivo multi telecamera." @@ -528,7 +645,7 @@ "desc": "Quando la trasmissione dal vivo ad alta qualità di una telecamera non è disponibile, dopo questo numero di secondi torna alla modalità a bassa larghezza di banda. Valore predefinito: 3." } }, - "title": "Impostazioni interfaccia", + "title": "Impostazioni interfaccia utente", "storedLayouts": { "title": "Formati memorizzati", "desc": "La disposizione delle telecamere in un gruppo può essere trascinata/ridimensionata. Le posizioni vengono salvate nella memoria locale del browser.", @@ -552,7 +669,7 @@ "label": "Primo giorno della settimana", "desc": "Giorno in cui iniziano le settimane del calendario di revisione.", "sunday": "Domenica", - "monday": "Lunedi" + "monday": "Lunedì" } }, "toast": { @@ -630,7 +747,7 @@ }, "dialog": { "unsavedChanges": { - "title": "Ci sono modifiche non salvate.", + "title": "Sono presenti modifiche non salvate.", "desc": "Vuoi salvare le modifiche prima di continuare?" } }, @@ -661,7 +778,7 @@ "email": { "placeholder": "es. esempio@email.com", "desc": "È richiesto un indirizzo email valido che verrà utilizzato per avvisarti in caso di problemi con il servizio push.", - "title": "E-mail" + "title": "Email" }, "cameras": { "title": "Telecamere", @@ -704,7 +821,7 @@ }, "title": "Notifiche", "notificationSettings": { - "title": "Impostazioni notifiche", + "title": "Impostazioni di notifica", "desc": "Frigate può inviare notifiche push in modo nativo al tuo dispositivo quando è in esecuzione nel browser o installato come PWA.", "documentation": "Leggi la documentazione" }, @@ -764,7 +881,7 @@ }, "birdClassification": { "desc": "La classificazione degli uccelli identifica gli uccelli noti utilizzando un modello Tensorflow quantizzato. Quando un uccello noto viene riconosciuto, il suo nome comune viene aggiunto come sub_label. Queste informazioni sono incluse nell'interfaccia utente, nei filtri e nelle notifiche.", - "title": "Classificazione degli uccelli" + "title": "Classificazione uccelli" }, "licensePlateRecognition": { "desc": "Frigate può riconoscere le targhe dei veicoli e aggiungere automaticamente i caratteri rilevati al campo recognized_license_plate o un nome noto come sub_label agli oggetti di tipo automobile (car). Un caso d'uso comune potrebbe essere la lettura delle targhe delle auto che entrano in un vialetto o che transitano lungo una strada.", @@ -903,8 +1020,8 @@ }, "roles": { "management": { - "title": "Gestione del ruolo di spettatore", - "desc": "Gestisci i ruoli di spettatori personalizzati e le relative autorizzazioni di accesso alla telecamera per questa istanza Frigate." + "title": "Gestione del ruolo visualizzatore", + "desc": "Gestisci i ruoli di visualizzatori personalizzati e le relative autorizzazioni di accesso alla telecamera per questa istanza Frigate." }, "addRole": "Aggiungi ruolo", "table": { @@ -920,9 +1037,9 @@ "createRole": "Ruolo {{role}} creato con successo", "updateCameras": "Telecamere aggiornate per il ruolo {{role}}", "deleteRole": "Ruolo {{role}} eliminato con successo", - "userRolesUpdated_one": "{{count}} utente assegnato a questo ruolo è stato aggiornato a \"spettatore\", che ha accesso a tutte le telecamere.", - "userRolesUpdated_many": "{{count}} utenti assegnati a questo ruolo sono stati aggiornati a \"spettatore\", che ha accesso a tutte le telecamere.", - "userRolesUpdated_other": "{{count}} utenti assegnati a questo ruolo sono stati aggiornati a \"spettatore\", che ha accesso a tutte le telecamere." + "userRolesUpdated_one": "{{count}} utente assegnato a questo ruolo è stato aggiornato a \"visualizzatore\", che ha accesso a tutte le telecamere.", + "userRolesUpdated_many": "{{count}} utenti assegnati a questo ruolo sono stati aggiornati a \"visualizzatore\", che ha accesso a tutte le telecamere.", + "userRolesUpdated_other": "{{count}} utenti assegnati a questo ruolo sono stati aggiornati a \"visualizzatore\", che ha accesso a tutte le telecamere." }, "error": { "createRoleFailed": "Impossibile creare il ruolo: {{errorMessage}}", @@ -942,7 +1059,7 @@ }, "deleteRole": { "title": "Elimina ruolo", - "desc": "Questa azione non può essere annullata. Ciò eliminerà definitivamente il ruolo e assegnerà a tutti gli utenti il ruolo di 'spettatore', che darà loro accesso a tutte le telecamere.", + "desc": "Questa azione non può essere annullata. Ciò eliminerà definitivamente il ruolo e assegnerà a tutti gli utenti il ruolo di 'visualizzatore', che darà loro accesso a tutte le telecamere.", "warn": "Sei sicuro di voler eliminare {{role}}?", "deleting": "Eliminazione in corso..." }, @@ -966,15 +1083,15 @@ "cameraReview": { "title": "Impostazioni revisione telecamera", "object_descriptions": { - "title": "Descrizioni oggetti IA generativa", + "title": "Descrizioni oggetti IA Generativa", "desc": "Abilita/disabilita temporaneamente le descrizioni degli oggetti generate dall'IA per questa telecamera fino al riavvio di Frigate. Se disabilitate, le descrizioni generate dall'IA non verranno richieste per gli oggetti tracciati su questa telecamera." }, "review_descriptions": { - "title": "Descrizioni revisioni IA generativa", + "title": "Descrizioni revisioni IA Generativa", "desc": "Abilita/disabilita temporaneamente le descrizioni di revisione generate dall'IA per questa telecamera fino al riavvio di Frigate. Se disabilitate, le descrizioni generate dall'IA non saranno richieste per gli elementi di revisione su questa telecamera." }, "review": { - "title": "Rivedi", + "title": "Revisiona", "desc": "Abilita/disabilita temporaneamente avvisi e rilevamenti per questa telecamera fino al riavvio di Frigate. Se disabilitato, non verranno generati nuovi elementi di revisione. ", "alerts": "Avvisi ", "detections": "Rilevamenti " @@ -1058,7 +1175,7 @@ "quality": "Qualità", "selectQuality": "Seleziona la qualità", "roleLabels": { - "detect": "Rilevamento di oggetti", + "detect": "Rilevamento oggetti", "record": "Registrazione", "audio": "Audio" }, @@ -1066,8 +1183,8 @@ "testSuccess": "Prova del flusso riuscita!", "testFailed": "Prova del flusso fallita", "testFailedTitle": "Prova fallita", - "connected": "Connesso", - "notConnected": "Non connesso", + "connected": "Connessa", + "notConnected": "Non connessa", "featuresTitle": "Caratteristiche", "go2rtc": "Riduci le connessioni alla telecamera", "detectRoleWarning": "Per procedere, almeno un flusso deve avere il ruolo \"rilevamento\".", @@ -1247,7 +1364,7 @@ "roles": "Ruoli", "ffmpegModule": "Utilizza la modalità di compatibilità del flusso", "ffmpegModuleDescription": "Se il flusso non si carica dopo diversi tentativi, prova ad abilitare questa opzione. Se abilitata, Frigate utilizzerà il modulo ffmpeg con go2rtc. Questo potrebbe garantire una migliore compatibilità con alcuni flussi di telecamere.", - "none": "Nessuno", + "none": "Nessuna", "error": "Errore", "streamValidated": "Flusso {{number}} convalidato con successo", "streamValidationFailed": "Convalida del flusso {{number}} non riuscita", @@ -1272,7 +1389,8 @@ }, "hikvision": { "substreamWarning": "Il sottoflusso 1 è bloccato a bassa risoluzione. Molte telecamere Hikvision supportano sottoflussi aggiuntivi che devono essere abilitati nelle impostazioni della telecamera. Si consiglia di controllare e utilizzare tali flussi, se disponibili." - } + }, + "resolutionUnknown": "Non è stato possibile rilevare la risoluzione di questo flusso. È necessario impostare manualmente la risoluzione di rilevamento nelle Impostazioni o nella configurazione." } } }, @@ -1284,7 +1402,18 @@ "backToSettings": "Torna alle impostazioni della telecamera", "streams": { "title": "Abilita/Disabilita telecamere", - "desc": "Disattiva temporaneamente una telecamera fino al riavvio di Frigate. La disattivazione completa di una telecamera interrompe l'elaborazione dei flussi di questa telecamera da parte di Frigate. Rilevamento, registrazione e correzioni non saranno disponibili.
    Nota: questa operazione non disattiva le ritrasmissioni di go2rtc." + "desc": "Disattiva temporaneamente una telecamera fino al riavvio di Frigate. La disattivazione completa di una telecamera interrompe l'elaborazione dei flussi di questa telecamera da parte di Frigate. Rilevamento, registrazione e correzioni non saranno disponibili.
    Nota: questa operazione non disattiva le ritrasmissioni di go2rtc.", + "enableLabel": "Telecamere abilitate", + "enableDesc": "Disabilita temporaneamente una telecamera abilitata fino al riavvio di Frigate. La disabilitazione completa di una telecamera interrompe l'elaborazione dei flussi video di tale telecamera da parte di Frigate. Le funzioni di rilevamento, registrazione e correzioni non saranno disponibili.
    Nota: questa operazione non disabilita le ritrasmissioni go2rtc.", + "disableLabel": "Telecamere disabilitate", + "disableDesc": "Abilita una telecamera attualmente non visibile nell'interfaccia utente e disabilitata nella configurazione. Dopo l'abilitazione è necessario riavviare Frigate.", + "enableSuccess": "{{cameraName}} abilitata nella configurazione. Riavvia Frigate per applicare le modifiche.", + "friendlyName": { + "edit": "Modifica il nome visualizzato della telecamera", + "title": "Modifica il nome visualizzato", + "description": "Imposta il nome amichevole visualizzato per questa telecamera nell'interfaccia utente di Frigate. Lascia vuoto per utilizzare l'ID della telecamera.", + "rename": "Rinomina" + } }, "cameraConfig": { "add": "Aggiungi telecamera", @@ -1314,6 +1443,590 @@ "streamUrls": "URL dei flussi", "addUrl": "Aggiungi URL", "addGo2rtcStream": "Aggiungi flusso go2rtc" + }, + "profiles": { + "enabled": "Abilitato", + "title": "Sovrascritture della telecamera del profilo", + "selectLabel": "Seleziona il profilo", + "description": "Configura quali telecamere vengono abilitate o disabilitate all'attivazione di un profilo. Le telecamere impostate su \"Eredita\" mantengono il loro stato di abilitazione predefinito.", + "inherit": "Eredita", + "disabled": "Disabilitato" + }, + "description": "Aggiungi, modifica ed elimina le telecamere, controlla quali telecamere sono abilitate e configura le impostazioni personalizzate per profilo e tipo di telecamera. Per configurare flussi video, rilevamento, movimento e altre impostazioni specifiche per ciascuna telecamera, seleziona la sezione corrispondente in Configurazione telecamera.", + "deleteCamera": "Elimina telecamera", + "deleteCameraDialog": { + "title": "Elimina telecamera", + "description": "L'eliminazione di una telecamera rimuoverà in modo permanente tutte le registrazioni, gli oggetti tracciati e la configurazione relativi a tale telecamera. Potrebbe essere comunque necessario rimuovere manualmente gli eventuali flussi go2rtc associati a questa telecamera.", + "selectPlaceholder": "Scegli telecamera...", + "confirmTitle": "Sei sicuro?", + "confirmWarning": "L'eliminazione di {{cameraName}} è irreversibile.", + "deleteExports": "Elimina anche le esportazioni per questa telecamera", + "confirmButton": "Elimina definitivamente", + "success": "Telecamera {{cameraName}} eliminata con successo", + "error": "Impossibile eliminare la telecamera {{cameraName}}" + }, + "cameraType": { + "title": "Tipo di telecamera", + "label": "Tipo di telecamera", + "description": "Imposta il tipo per ogni telecamera. Le telecamere LPR dedicate sono telecamere monouso con un potente zoom ottico per acquisire le targhe dei veicoli distanti. La maggior parte delle telecamere dovrebbe utilizzare il tipo di telecamera normale, a meno che non siano specificamente progettate per il riconoscimento delle targhe e abbiano una visuale molto ravvicinata sulle targhe.", + "normal": "Normale", + "dedicatedLpr": "LPR dedicata", + "saveSuccess": "Tipo di telecamera aggiornato per {{cameraName}}. Riavviare Frigate per applicare le modifiche." + } + }, + "button": { + "overriddenGlobal": "Sovrascritto (Globale)", + "overriddenGlobalTooltip": "Questa telecamera sovrascrive le impostazioni di configurazione globali in questa sezione", + "overriddenBaseConfig": "Sovrascritto (Configurazione di base)", + "overriddenBaseConfigTooltip": "Il profilo {{profile}} sovrascrive le impostazioni di configurazione in questa sezione", + "overriddenInCameras": { + "label_one": "Sovrascritto in {{count}} telecamera", + "label_many": "Sovrascritto in {{count}} telecamere", + "label_other": "Sovrascritto in {{count}} telecamere", + "tooltip_one": "{{count}} telecamera sovrascrive i valori in questa sezione. Fai clic per visualizzare i dettagli.", + "tooltip_many": "{{count}} telecamere sovrascrivono i valori in questa sezione. Fai clic per visualizzare i dettagli.", + "tooltip_other": "{{count}} telecamere sovrascrivono i valori in questa sezione. Fai clic per visualizzare i dettagli.", + "heading_one": "Questa sezione globale contiene campi che vengono sovrascritti in {{count}} telecamera.", + "heading_many": "Questa sezione globale contiene campi che vengono sovrascritti in {{count}} telecamere.", + "heading_other": "Questa sezione globale contiene campi che vengono sovrascritti in {{count}} telecamere.", + "othersField_one": "{{count}} altro", + "othersField_many": "{{count}} altri", + "othersField_other": "{{count}} altri", + "profilePrefix": "Profilo {{profile}}: {{fields}}" + }, + "overriddenGlobalHeading_one": "Questa telecamera sovrascrive il campo {{count}} dalla configurazione globale:", + "overriddenGlobalHeading_many": "Questa telecamera sovrascrive i campi {{count}} della configurazione globale:", + "overriddenGlobalHeading_other": "Questa telecamera sovrascrive i campi {{count}} della configurazione globale:", + "overriddenGlobalNoDeltas": "Questa telecamera sovrascrive la configurazione globale, ma nessun valore dei campi risulta diverso.", + "overriddenBaseConfigHeading_one": "Il profilo {{profile}} sovrascrive il campo {{count}} della configurazione di base:", + "overriddenBaseConfigHeading_many": "Il profilo {{profile}} sovrascrive i campi {{count}} della configurazione di base:", + "overriddenBaseConfigHeading_other": "Il profilo {{profile}} sovrascrive i campi {{count}} della configurazione di base:", + "overriddenBaseConfigNoDeltas": "Il profilo {{profile}} sovrascrive questa sezione, ma nessun valore di campo differisce dalla configurazione di base." + }, + "go2rtcStreams": { + "title": "Flussi go2rtc", + "ffmpeg": { + "video": "Video", + "audio": "Audio", + "audioCopy": "Copia", + "videoCopy": "Copia", + "hardware": "Accelerazione hardware", + "hardwareNone": "Nessuna accelerazione hardware", + "hardwareAuto": "Accelerazione hardware automatica", + "useFfmpegModule": "Utilizza la modalità di compatibilità (ffmpeg)", + "videoH264": "Transcodifica in H.264", + "videoH265": "Transcodifica in H.265", + "videoExclude": "Escludi", + "audioAac": "Transcodifica in AAC", + "audioOpus": "Transcodifica in Opus", + "audioPcmu": "Transcodifica in PCM μ-law", + "audioPcma": "Transcodifica in PCM A-law", + "audioPcm": "Transcodifica in PCM", + "audioMp3": "Transcodifica in MP3", + "audioExclude": "Escludi" + }, + "description": "Gestisci le configurazioni del flusso go2rtc per la ritrasmissione delle immagini della telecamera. Ogni flusso ha un nome e uno o più URL sorgente.", + "addStream": "Aggiungi flusso", + "addStreamDesc": "Inserisci un nome per il nuovo flusso. Questo nome verrà utilizzato per identificare il flusso nella configurazione della telecamera.", + "addUrl": "Aggiungi URL", + "streamName": "Nome flusso", + "streamNamePlaceholder": "p. es., porta_ingresso", + "streamUrlPlaceholder": "p. es., rtsp://utente:password@192.168.1.100/flusso", + "deleteStream": "Elimina flusso", + "deleteStreamConfirm": "Sei sicuro di voler eliminare il flusso \"{{streamName}}\"? Le telecamere che fanno riferimento a questo flusso potrebbero smettere di funzionare.", + "noStreams": "Nessun flusso go2rtc configurato. Aggiungi un flusso per iniziare.", + "validation": { + "nameRequired": "Il nome del flusso è obbligatorio", + "nameDuplicate": "Esiste già un flusso con questo nome", + "nameInvalid": "Il nome del flusso può contenere solo lettere, numeri, trattini bassi e trattini", + "urlRequired": "È richiesto almeno un URL" + }, + "renameStream": "Rinomina flusso", + "renameStreamDesc": "Inserisci un nuovo nome per questo flusso. Rinominare un flusso potrebbe causare problemi alle telecamere o ad altri flussi che lo referenziano tramite il suo nome.", + "newStreamName": "Nuovo nome del flusso" + }, + "configForm": { + "sections": { + "review": "Revisiona", + "record": "Registrazione", + "snapshots": "Istantanee", + "ffmpeg": "FFmpeg", + "objects": "Oggetti", + "database": "Database", + "mqtt": "MQTT", + "notifications": "Notifiche", + "tls": "TLS", + "auth": "Autenticazione", + "proxy": "Proxy", + "telemetry": "Telemetria", + "birdseye": "Birdseye", + "semantic_search": "Ricerca semantica", + "lpr": "Riconoscimento targhe", + "face_recognition": "Riconoscimento facciale", + "masksAndZones": "Maschere / Zone", + "audio": "Audio", + "model": "Modello", + "detect": "Rilevamento", + "motion": "Movimento", + "live": "Vista dal vivo", + "timestamp_style": "Orari", + "go2rtc": "go2rtc", + "detectors": "Rivelatori", + "genai": "GenAI" + }, + "tabs": { + "system": "Sistema", + "integrations": "Integrazioni", + "sharedDefaults": "Impostazioni predefinite condivise" + }, + "inputRoles": { + "options": { + "audio": "Audio", + "detect": "Rileva", + "record": "Registra" + }, + "summary": "{{count}} ruoli selezionati", + "empty": "Nessun ruolo disponibile" + }, + "roleMap": { + "roleLabel": "Ruolo", + "remove": "Rimuovi", + "empty": "Nessuna mappatura dei ruoli", + "groupsLabel": "Gruppi", + "addMapping": "Aggiungi la mappatura dei ruoli" + }, + "notifications": { + "title": "Impostazioni di notifica" + }, + "global": { + "title": "Impostazioni globali", + "description": "Queste impostazioni si applicano a tutte le telecamere a meno che non vengano modificate nelle impostazioni specifiche della singola telecamera." + }, + "camera": { + "noCameras": "Nessuna telecamera disponibile", + "title": "Impostazioni telecamera", + "description": "Queste impostazioni si applicano solo a questa telecamera e sovrascrivono le impostazioni globali." + }, + "advancedSettingsCount": "Impostazioni avanzate ({{count}})", + "advancedCount": "Avanzato ({{count}})", + "showAdvanced": "Mostra impostazioni avanzate", + "additionalProperties": { + "keyLabel": "Chiave", + "valueLabel": "Valore", + "keyPlaceholder": "Nuova chiave", + "remove": "Rimuovi" + }, + "ffmpegArgs": { + "preset": "Preimpostazione", + "manual": "Argomenti manuali", + "inherit": "Eredita dalle impostazioni della telecamera", + "none": "Nessuna", + "useGlobalSetting": "Eredita dalle impostazioni globali", + "selectPreset": "Seleziona preimpostazione", + "manualPlaceholder": "Inserisci argomenti FFmpeg", + "presetLabels": { + "preset-rpi-64-h264": "Raspberry Pi (H.264)", + "preset-rpi-64-h265": "Raspberry Pi (H.265)", + "preset-vaapi": "VAAPI (GPU Intel/AMD)", + "preset-intel-qsv-h264": "Intel QuickSync (H.264)", + "preset-intel-qsv-h265": "Intel QuickSync (H.265)", + "preset-nvidia": "GPU NVIDIA", + "preset-jetson-h264": "NVIDIA Jetson (H.264)", + "preset-jetson-h265": "NVIDIA Jetson (H.265)", + "preset-rkmpp": "Rockchip RKMPP", + "preset-http-jpeg-generic": "HTTP JPEG (Generico)", + "preset-http-mjpeg-generic": "HTTP JPEG (Generico)", + "preset-http-reolink": "HTTP - Telecamere Reolink", + "preset-rtmp-generic": "RTMP (Generico)", + "preset-rtsp-generic": "RTSP (Generico)", + "preset-rtsp-restream": "RTSP - Ritrasmissione da go2rtc", + "preset-rtsp-restream-low-latency": "RTSP - Ritrasmissione da go2rtc (bassa latenza)", + "preset-rtsp-udp": "RTSP - UDP", + "preset-rtsp-blue-iris": "RTSP - Blue Iris", + "preset-record-generic": "Registrazione (Generica, senza audio)", + "preset-record-generic-audio-copy": "Registrazione (generica + copia audio)", + "preset-record-generic-audio-aac": "Registrazione (generica + audio in AAC)", + "preset-record-mjpeg": "Registrazione - Telecamere MJPEG", + "preset-record-jpeg": "Registrazione - Telecamere JPEG", + "preset-record-ubiquiti": "Registrazione - Telecamere Ubiquiti" + } + }, + "cameraInputs": { + "itemTitle": "Stream {{index}}" + }, + "restartRequiredField": "Riavvio richiesto", + "restartRequiredFooter": "Configurazione modificata - Riavvio necessario", + "detect": { + "title": "Impostazioni di rilevamento" + }, + "detectors": { + "title": "Impostazioni del rilevatore", + "singleType": "È consentito un solo rilevatore di tipo {{type}}.", + "keyRequired": "Il nome del rilevatore è obbligatorio.", + "keyDuplicate": "Il nome del rilevatore esiste già.", + "noSchema": "Non sono disponibili schemi di rilevamento.", + "none": "Nessuna istanza del rilevatore configurata.", + "add": "Aggiungi rilevatore", + "addCustomKey": "Aggiungi chiave personalizzata" + }, + "record": { + "title": "Impostazioni di registrazione" + }, + "snapshots": { + "title": "Impostazioni istantanea" + }, + "motion": { + "title": "Impostazioni di movimento" + }, + "objects": { + "title": "Impostazioni oggetto" + }, + "audioLabels": { + "summary": "{{count}} etichette audio selezionate", + "empty": "Nessuna etichetta audio disponibile" + }, + "objectLabels": { + "summary": "{{count}} tipi di oggetto selezionati", + "empty": "Non sono disponibili etichette per gli oggetti" + }, + "reviewLabels": { + "summary": "{{count}} etichette selezionate", + "empty": "Nessuna etichetta disponibile" + }, + "filters": { + "objectFieldLabel": "{{field}} per {{label}}" + }, + "zoneNames": { + "summary": "{{count}} selezionati", + "empty": "Nessuna zona disponibile" + }, + "genaiRoles": { + "options": { + "embeddings": "Incorporamento", + "descriptions": "Descrizioni", + "chat": "Chat" + } + }, + "semanticSearchModel": { + "placeholder": "Seleziona il modello…", + "builtIn": "Modelli integrati", + "genaiProviders": "Fornitori di GenAI" + }, + "genaiModel": { + "placeholder": "Seleziona il modello…", + "search": "Ricerca modelli…", + "noModels": "Nessun modello disponibile" + }, + "review": { + "title": "Impostazioni di revisione" + }, + "audio": { + "title": "Impostazioni audio" + }, + "live": { + "title": "Impostazioni della visualizzazione dal vivo" + }, + "timestamp_style": { + "title": "Impostazioni orario" + }, + "searchPlaceholder": "Ricerca...", + "addCustomLabel": "Aggiungi etichetta personalizzata...", + "knownPlates": { + "namePlaceholder": "p. es., auto della moglie", + "platePlaceholder": "Numero di targa o espressione regolare" + }, + "timezone": { + "defaultOption": "Utilizza il fuso orario del browser" + } + }, + "globalConfig": { + "title": "Configurazione globale", + "description": "Configura le impostazioni globali che si applicano a tutte le telecamere, a meno che non vengano sovrascritte.", + "toast": { + "success": "Impostazioni globali salvate correttamente", + "error": "Impossibile salvare le impostazioni globali", + "validationError": "Validazione fallita" + } + }, + "cameraConfig": { + "title": "Configurazione telecamera", + "description": "Configura le impostazioni per le singole telecamere. Le impostazioni personalizzate sovrascrivono le impostazioni predefinite globali.", + "overriddenBadge": "Sovrascritto", + "resetToGlobal": "Ripristina impostazioni globali", + "toast": { + "success": "Impostazioni della telecamera salvate correttamente", + "error": "Impossibile salvare le impostazioni della telecamera" + } + }, + "profiles": { + "title": "Profili", + "columnCamera": "Telecamera", + "activeProfile": "Profilo attivo", + "noActiveProfile": "Nessun profilo attivo", + "active": "Attivo", + "activated": "Profilo '{{profile}}' attivato", + "activateFailed": "Impossibile impostare il profilo", + "deactivated": "Profilo disattivato", + "noProfiles": "Nessun profilo definito.", + "noOverrides": "Nessuna sovrascrittura", + "cameraCount_one": "{{count}} telecamera", + "cameraCount_many": "{{count}} telecamere", + "cameraCount_other": "{{count}} telecamere", + "columnOverrides": "Sovrascritture del profilo", + "baseConfig": "Configurazione di base", + "addProfile": "Aggiungi profilo", + "newProfile": "Nuovo profilo", + "profileNamePlaceholder": "p. es., Inserita, Assente, Modalità notturna", + "friendlyNameLabel": "Nome profilo", + "profileIdLabel": "ID profilo", + "profileIdDescription": "Identificativo interno utilizzato nella configurazione e nelle automazioni", + "nameInvalid": "Sono consentite solo lettere minuscole, numeri e trattini bassi", + "nameDuplicate": "Esiste già un profilo con questo nome", + "error": { + "mustBeAtLeastTwoCharacters": "Deve contenere almeno 2 caratteri", + "mustNotContainPeriod": "Non deve contenere punti", + "alreadyExists": "Esiste già un profilo con questo ID" + }, + "renameProfile": "Rinomina profilo", + "renameSuccess": "Profilo rinominato in '{{profile}}'", + "deleteProfile": "Elimina profilo", + "deleteProfileConfirm": "Eliminare il profilo \"{{profile}}\" da tutte le telecamere? Questa operazione non può essere annullata.", + "deleteSuccess": "Profilo '{{profile}}' eliminato", + "createSuccess": "Profilo '{{profile}}' creato", + "removeOverride": "Rimuovi la sovrascrittura del profilo", + "deleteSection": "Elimina le sostituzioni della sezione", + "deleteSectionConfirm": "Rimuovere le sovrascritture {{section}} per il profilo {{profile}} su {{camera}}?", + "deleteSectionSuccess": "Rimosse le sovrascritture di {{section}} per {{profile}}", + "enableSwitch": "Abilita profili", + "enabledDescription": "I profili sono abilitati. Crea un nuovo profilo qui sotto, vai alla sezione di configurazione della telecamera per apportare le modifiche e salva affinché le modifiche abbiano effetto.", + "disabledDescription": "I profili consentono di definire insiemi denominati di impostazioni di configurazione della telecamera (p.es., inserita, assente, notturna) che possono essere attivate su richiesta." + }, + "timestampPosition": { + "tl": "In alto a sinistra", + "tr": "In alto a destra", + "bl": "In basso a sinistra", + "br": "In basso a destra" + }, + "detectionModel": { + "plusActive": { + "title": "Gestione del modello Frigate+", + "label": "Fonte del modello attuale", + "description": "Questa istanza utilizza un modello Frigate+. Seleziona o modifica il tuo modello nelle impostazioni di Frigate+.", + "goToFrigatePlus": "Vai alle impostazioni di Frigate+", + "showModelForm": "Configura manualmente un modello" + } + }, + "maintenance": { + "title": "Manutenzione", + "sync": { + "title": "Sincronizzazione multimediale", + "desc": "Frigate pulirà periodicamente i supporti di memorizzazione secondo una pianificazione regolare, in base alla configurazione di conservazione. È normale che Frigate visualizzi alcuni file orfani durante il suo funzionamento. Utilizza questa funzione per rimuovere dal disco i file multimediali orfani che non sono più referenziati nel database.", + "started": "Sincronizzazione multimediale avviata.", + "alreadyRunning": "È già in corso un'operazione di sincronizzazione", + "error": "Impossibile avviare la sincronizzazione", + "currentStatus": "Stato", + "statusLabel": "Stato", + "jobId": "ID lavoro", + "startTime": "Ora di inizio", + "endTime": "Ora di fine", + "results": "Risultati", + "errorLabel": "Errore", + "resultsFields": { + "error": "Errore", + "totals": "Totali", + "filesChecked": "File controllati", + "orphansFound": "Orfani trovati", + "orphansDeleted": "Orfani eliminati", + "aborted": "Interrotto. La cancellazione supererebbe la soglia di sicurezza." + }, + "event_snapshots": "Istantanee degli oggetti tracciati", + "event_thumbnails": "Miniature degli oggetti tracciati", + "review_thumbnails": "Anteprima delle miniature", + "previews": "Anteprime", + "exports": "Esportazioni", + "recordings": "Registrazioni", + "mediaTypes": "Tipi di supporto", + "allMedia": "Tutti i supporti", + "dryRun": "Prova a secco", + "dryRunEnabled": "Nessun file verrà eliminato", + "dryRunDisabled": "I file verranno eliminati", + "force": "Forza", + "forceDesc": "Ignora la soglia di sicurezza e completa la sincronizzazione anche se più del 50% dei file verrebbe eliminato.", + "verbose": "Dettagliato", + "verboseDesc": "Scrivi un elenco completo dei file orfani su disco per la revisione.", + "running": "Sincronizzazione in corso...", + "start": "Avvia sincronizzazione", + "inProgress": "Sincronizzazione in corso. Questa pagina è disabilitata.", + "status": { + "queued": "In coda", + "running": "In corso", + "completed": "Completata", + "failed": "Fallita", + "notRunning": "Non in esecuzione" + } + }, + "regionGrid": { + "title": "Griglia di regioni", + "desc": "La griglia di regioni è un algoritmo di ottimizzazione che apprende dove gli oggetti di diverse dimensioni appaiono tipicamente nel campo visivo di ciascuna telecamera. Frigate utilizza questi dati per dimensionare in modo efficiente le regioni di rilevamento. La griglia viene creata automaticamente nel tempo a partire dai dati degli oggetti tracciati.", + "clear": "Pulisci griglia di regioni", + "clearConfirmTitle": "Pulisci griglia di regioni", + "clearConfirmDesc": "La pulizia della griglia di regioni non è consigliata a meno che non si sia recentemente modificato il modello del rilevatore o la posizione fisica della telecamera, riscontrando problemi di tracciamento degli oggetti. La griglia verrà ricostruita automaticamente nel tempo man mano che gli oggetti vengono tracciati. Per rendere effettive le modifiche è necessario riavviare Frigate.", + "clearSuccess": "Griglia di regioni pulita con successo", + "clearError": "Impossibile pulire la griglia di regioni", + "restartRequired": "È necessario riavviare il sistema affinché le modifiche alla griglia di regioni abbiano effetto" + } + }, + "retainMode": { + "motion": "Movimento", + "all": "Tutti", + "active_objects": "Oggetti attivi" + }, + "birdseye": { + "trackingMode": { + "motion": "Movimento", + "objects": "Oggetti", + "continuous": "Continuo" + } + }, + "toast": { + "success": "Impostazioni salvate correttamente", + "applied": "Impostazioni applicate correttamente", + "successRestartRequired": "Impostazioni salvate correttamente. Riavvia Frigate per applicare le modifiche.", + "error": "Impossibile salvare le impostazioni", + "validationError": "Validazione non riuscita: {{message}}", + "resetSuccess": "Ripristina le impostazioni predefinite globali", + "resetError": "Impossibile ripristinare le impostazioni", + "saveAllSuccess_one": "Salvata {{count}} sezione correttamente.", + "saveAllSuccess_many": "Tutte le {{count}} sezioni sono state salvate correttamente.", + "saveAllSuccess_other": "Tutte le {{count}} sezioni sono state salvate correttamente.", + "saveAllPartial_one": "{{successCount}} sezione su {{totalCount}} salvata. {{failCount}} errore.", + "saveAllPartial_many": "{{successCount}} sezioni su {{totalCount}} salvate. {{failCount}} errori.", + "saveAllPartial_other": "{{successCount}} sezioni su {{totalCount}} salvate. {{failCount}} errori.", + "saveAllFailure": "Impossibile salvare tutte le sezioni." + }, + "unsavedChanges": "Hai delle modifiche non salvate", + "confirmReset": "Conferma il ripristino", + "resetToDefaultDescription": "Questa operazione ripristinerà tutte le impostazioni di questa sezione ai valori predefiniti. Tale azione è irreversibile.", + "resetToGlobalDescription": "Questa operazione ripristinerà le impostazioni di questa sezione ai valori predefiniti globali. Tale azione è irreversibile.", + "previewQuality": { + "very_high": "Molto alta", + "high": "Alta", + "medium": "Media", + "low": "Bassa", + "very_low": "Molto bassa" + }, + "ui": { + "TimeOrDateStyle": { + "medium": "Medio", + "full": "Completo", + "long": "Lungo", + "short": "Corto" + }, + "timeFormat": { + "browser": "Navigatore", + "12hour": "12 ore", + "24hour": "24 ore" + }, + "unitSystem": { + "metric": "Metrico", + "imperial": "Imperiale" + } + }, + "review": { + "imageSource": { + "recordings": "Registrazioni", + "previews": "Anteprime" + } + }, + "logger": { + "logLevel": { + "debug": "Correzioni", + "info": "Informazioni", + "warning": "Avviso", + "error": "Errore", + "critical": "Critico" + } + }, + "onvif": { + "profileAuto": "Automatico", + "profileLoading": "Caricamento profili...", + "autotracking": { + "zooming": { + "disabled": "Disabilitato", + "absolute": "Assoluto", + "relative": "Relativo" + } + } + }, + "modelSize": { + "small": "Piccolo", + "large": "Grande" + }, + "configMessages": { + "review": { + "recordDisabled": "La registrazione è disabilitata, pertanto non verranno generati elementi di revisione.", + "detectDisabled": "Il rilevamento degli oggetti è disabilitato. Gli elementi di revisione richiedono la presenza di oggetti rilevati per poter classificare avvisi e rilevamenti.", + "allNonAlertDetections": "Tutte le attività non di avviso saranno incluse tra i rilevamenti.", + "genaiImageSourceRecordingsRecordDisabled": "La sorgente dell'immagine è impostata su 'registrazioni', ma la registrazione è disabilitata. Frigate utilizzerà le immagini di anteprima." + }, + "audio": { + "noAudioRole": "Nessun flusso ha il ruolo audio definito. È necessario abilitare il ruolo audio affinché il rilevamento audio funzioni." + }, + "audioTranscription": { + "audioDetectionDisabled": "Il rilevamento audio non è abilitato per questa telecamera. La trascrizione audio richiede che il rilevamento audio sia attivo." + }, + "detect": { + "fpsGreaterThanFive": "Impostare il valore di FPS rilevato su un valore superiore a 5 non è consigliabile. Valori più elevati potrebbero causare problemi di prestazioni e non apporteranno alcun vantaggio.", + "disabled": "Il rilevamento degli oggetti è disabilitato. Le istantanee, gli elementi di revisione e le funzionalità aggiuntive come il riconoscimento facciale, il riconoscimento delle targhe e l'intelligenza artificiale generativa non funzioneranno." + }, + "objects": { + "genaiNoDescriptionsProvider": "Per generare le descrizioni è necessario configurare un provider GenAI con il ruolo 'descrizioni'." + }, + "faceRecognition": { + "globalDisabled": "Perché le funzionalità di riconoscimento facciale funzionino correttamente su questa telecamera, è necessario abilitare l'arricchimento del riconoscimento facciale.", + "personNotTracked": "Il riconoscimento facciale richiede che l'oggetto 'persona' venga tracciato. Abilita 'persona' nella sezione ogggetti di questa telecamera.", + "modelSizeLarge": "Il modello 'grande' richiede una GPU o una NPU per prestazioni accettabili. Utilizzare il modello 'piccolo' su sistemi dotati solo di CPU." + }, + "lpr": { + "globalDisabled": "Per il corretto funzionamento delle funzioni LPR (riconoscimento targhe) su questa telecamera, è necessario abilitare la funzione di arricchimento del riconoscimento delle targhe.", + "vehicleNotTracked": "Il riconoscimento della targa richiede che venga tracciato 'automobile' o 'moto'. Abilita 'automobile' o 'moto' nella sezione oggetti per questa telecamera.", + "modelSizeLarge": "Il modello 'grande' è ottimizzato per le targhe multilinea. Il modello 'piccolo' offre prestazioni migliori rispetto al modello 'grande' e dovrebbe essere utilizzato a meno che nella vostra regione non siano in vigore formati di targa multilinea." + }, + "record": { + "noRecordRole": "Nessun flusso ha il ruolo di registrazione definito. La registrazione non funzionerà." + }, + "birdseye": { + "objectsModeDetectDisabled": "Birdseye è impostato sulla modalità 'oggetti', ma il rilevamento degli oggetti è disabilitato per questa telecamera. La telecamera non verrà visualizzata in Birdseye." + }, + "snapshots": { + "detectDisabled": "Il rilevamento degli oggetti è disabilitato. Le istantanee vengono generate dagli oggetti tracciati e non verranno create." + }, + "detectors": { + "mixedTypes": "Tutti i rilevatori devono essere dello stesso tipo. Rimuovi i rilevatori esistenti per poter utilizzare un tipo diverso.", + "mixedTypesSuggestion": "Tutti i rilevatori devono essere dello stesso tipo. Rimuovi i rilevatori esistenti oppure seleziona {{type}}." + }, + "semanticSearch": { + "jinav2SmallModelSize": "Il modello 'piccolo' Jina V2 presenta elevati consumi di RAM e di inferenza. Si consiglia il modello 'grande' con GPU dedicata." + } + }, + "saveAllPreview": { + "title": "Modifiche da salvare", + "triggerLabel": "Revisione delle modifiche in sospeso", + "empty": "Nessuna modifica in sospeso.", + "scope": { + "label": "Ambito", + "global": "Globale", + "camera": "Telecamera: {{cameraName}}" + }, + "profile": { + "label": "Profilo" + }, + "field": { + "label": "Campo" + }, + "value": { + "label": "Nuovo valore", + "reset": "Reimposta" } } } diff --git a/web/public/locales/it/views/system.json b/web/public/locales/it/views/system.json index 6883fc3976..ed780a51e9 100644 --- a/web/public/locales/it/views/system.json +++ b/web/public/locales/it/views/system.json @@ -7,7 +7,8 @@ "logs": { "frigate": "Registri Frigate - Frigate", "go2rtc": "Registri Go2RTC - Frigate", - "nginx": "Registri Nginx - Frigate" + "nginx": "Registri Nginx - Frigate", + "websocket": "Registri dei messaggi - Frigate" } }, "logs": { @@ -31,6 +32,33 @@ "label": "Copia negli appunti", "success": "Registri copiati negli appunti", "error": "Impossibile copiare i registri negli appunti" + }, + "websocket": { + "label": "Messaggi", + "pause": "Pausa", + "resume": "Riprendi", + "clear": "Pulisci", + "filter": { + "all": "Tutti gli argomenti", + "topics": "Argomenti", + "events": "Eventi", + "reviews": "Rivisti", + "classification": "Classificazione", + "face_recognition": "Riconoscimento facciale", + "lpr": "Risconoscimento targhe (LPR)", + "camera_activity": "Attività della telecamera", + "system": "Sistema", + "camera": "Telecamera", + "all_cameras": "Tutte le telecamere", + "cameras_count_one": "{{count}} telecamera", + "cameras_count_other": "{{count}} telecamere" + }, + "empty": "Nessun messaggio ancora catturato", + "count_one": "{{count}} messaggio", + "count_other": "{{count}} messaggi", + "expanded": { + "payload": "Carico" + } } }, "general": { @@ -72,7 +100,8 @@ "description": "Si tratta di un problema noto negli strumenti di reportistica delle statistiche GPU di Intel (intel_gpu_top), che si interrompe e restituisce ripetutamente un utilizzo della GPU pari a 0% anche nei casi in cui l'accelerazione hardware e il rilevamento degli oggetti funzionano correttamente sulla (i)GPU. Non si tratta di un problema di Frigate. È possibile riavviare il sistema per risolvere temporaneamente il problema e verificare che la GPU funzioni correttamente. Ciò non influisce sulle prestazioni." }, "gpuTemperature": "Temperatura GPU", - "npuTemperature": "Temperatura NPU" + "npuTemperature": "Temperatura NPU", + "gpuCompute": "Calcolo / Codifica GPU" }, "detector": { "inferenceSpeed": "Velocità inferenza rilevatore", @@ -146,7 +175,7 @@ "framesAndDetections": "Fotogrammi / Rilevamenti", "label": { "camera": "telecamera", - "detect": "rilevamento", + "detect": "rileva", "skipped": "saltati", "ffmpeg": "FFmpeg", "capture": "cattura", @@ -158,7 +187,8 @@ "cameraFramesPerSecond": "{{camName}} fotogrammi al secondo", "cameraDetectionsPerSecond": "{{camName}} rilevamenti al secondo", "cameraSkippedDetectionsPerSecond": "{{camName}} rilevamenti saltati al secondo", - "cameraFfmpeg": "{{camName}} FFmpeg" + "cameraFfmpeg": "{{camName}} FFmpeg", + "cameraGpu": "GPU {{camName}}" }, "toast": { "success": { @@ -178,6 +208,9 @@ "expectedFps": "FPS previsti", "reconnectsLastHour": "Riconnessioni (ultima ora)", "stallsLastHour": "Blocchi (ultima ora)" + }, + "noCameras": { + "title": "Nessuna telecamera trovata" } }, "stats": { @@ -188,7 +221,8 @@ "cameraIsOffline": "{{camera}} è disconnessa", "detectIsSlow": "{{detect}} è lento ({{speed}} ms)", "detectIsVerySlow": "{{detect}} è molto lento ({{speed}} ms)", - "shmTooLow": "L'allocazione /dev/shm ({{total}} MB) dovrebbe essere aumentata almeno a {{min}} MB." + "shmTooLow": "L'allocazione /dev/shm ({{total}} MB) dovrebbe essere aumentata almeno a {{min}} MB.", + "debugReplayActive": "La sessione di riproduzione delle correzioni è attiva" }, "title": "Sistema", "metrics": "Metriche di sistema", @@ -215,7 +249,11 @@ "shm": { "title": "Allocazione SHM (memoria condivisa)", "warning": "La dimensione SHM attuale di {{total}} MB è troppo piccola. Aumentarla ad almeno {{min_shm}} MB.", - "readTheDocumentation": "Leggi la documentazione" + "readTheDocumentation": "Leggi la documentazione", + "frameLifetime": { + "title": "Durata del fotogramma", + "description": "Ogni telecamera dispone di {{frames}} posti per i fotogrammi nella memoria condivisa. Alla frequenza di fotogrammi più elevata della telecamera, ogni fotogramma è disponibile per circa {{lifetime}} secondi prima di essere sovrascritto." + } } }, "lastRefreshed": "Ultimo aggiornamento: " diff --git a/web/public/locales/ja/common.json b/web/public/locales/ja/common.json index 3f04d464f2..ffceee4199 100644 --- a/web/public/locales/ja/common.json +++ b/web/public/locales/ja/common.json @@ -133,7 +133,7 @@ "unsuspended": "再開", "play": "再生", "unselect": "選択解除", - "export": "書き出し", + "export": "エクスポート", "deleteNow": "今すぐ削除", "next": "次へ", "continue": "続行" @@ -181,7 +181,7 @@ }, "review": "レビュー", "explore": "ブラウズ", - "export": "書き出し", + "export": "エクスポート", "uiPlayground": "UI テスト環境", "faceLibrary": "顔データベース", "user": { @@ -237,7 +237,8 @@ }, "hr": "Hrvatski (クロアチア語)" }, - "classification": "分類" + "classification": "分類", + "profiles": "プロファイル" }, "toast": { "copyUrlToClipboard": "URLをクリップボードにコピーしました。", diff --git a/web/public/locales/ja/components/dialog.json b/web/public/locales/ja/components/dialog.json index c7f2b0944d..9364141401 100644 --- a/web/public/locales/ja/components/dialog.json +++ b/web/public/locales/ja/components/dialog.json @@ -46,23 +46,57 @@ } }, "name": { - "placeholder": "書き出しに名前を付ける" + "placeholder": "エクスポートに名前を付ける" }, "select": "選択", - "export": "書き出し", - "selectOrExport": "選択または書き出し", + "export": "エクスポート", + "selectOrExport": "選択またはエクスポート", "toast": { - "success": "書き出しを開始しました。出力ページでファイルを確認できます。", + "success": "エクスポートを開始しました。エクスポートページでファイルを確認できます。", "error": { - "failed": "書き出しの開始に失敗しました: {{error}}", + "failed": "エクスポートキューの開始に失敗しました: {{error}}", "endTimeMustAfterStartTime": "終了時間は開始時間より後である必要があります", "noVaildTimeSelected": "有効な時間範囲が選択されていません" }, - "view": "表示" + "view": "表示", + "queued": "エクスポートがキューに追加されました。進捗状況はエクスポートページで確認できます。", + "batchQueuedSuccess_other": "{{count}} 件のエクスポートがキューに登録されました。現在ケースをオープンしています。", + "batchQueuedPartial": "{{total}} 件中 {{successful}} 件のエクスポートがキューに追加されました。失敗したカメラ: {{failedCameras}}", + "batchQueueFailed": "{{total}} 件のエクスポートをキューに追加できませんでした。失敗したカメラ: {{failedCameras}}" }, "fromTimeline": { - "saveExport": "書き出しを保存", - "previewExport": "書き出しをプレビュー" + "saveExport": "エクスポートを保存", + "previewExport": "エクスポートをプレビュー", + "queueingExport": "エクスポートをキューイングしています..." + }, + "queueing": "エクスポートをキューイングしています...", + "multiCamera": { + "queueingButton": "エクスポートをキューイングしています...", + "timeRange": "期間", + "selectFromTimeline": "タイムラインから選択", + "cameraSelection": "カメラ", + "cameraSelectionHelp": "この期間に追跡対象が含まれるカメラは、あらかじめ選択されています", + "checkingActivity": "カメラの動作を確認中...", + "noCameras": "利用可能なカメラがありません", + "detectionCount_other": "{{count}} 追跡対象", + "nameLabel": "エクスポート名", + "namePlaceholder": "これらのエクスポート用オプションのベース名", + "exportButton_other": "{{count}} 台のカメラをエクスポート" + }, + "case": { + "newCaseOption": "新しいケースを作成する", + "newCaseNamePlaceholder": "新しいケース名", + "newCaseDescriptionPlaceholder": "ケースの説明", + "label": "ケース", + "nonAdminHelp": "これらのエクスポートに対して新しいケースが作成されます。", + "placeholder": "ケースを選択" + }, + "tabs": { + "export": "シングルカメラ", + "multiCamera": "マルチカメラ" + }, + "multi": { + "title_other": "{{count}} 件のレビューをエクスポート" } }, "streaming": { @@ -105,7 +139,7 @@ } }, "button": { - "export": "書き出し", + "export": "エクスポート", "markAsReviewed": "レビュー済みにする", "deleteNow": "今すぐ削除", "markAsUnreviewed": "未レビューに戻す" diff --git a/web/public/locales/ja/components/filter.json b/web/public/locales/ja/components/filter.json index bbcc3149d0..e5bc120e74 100644 --- a/web/public/locales/ja/components/filter.json +++ b/web/public/locales/ja/components/filter.json @@ -114,7 +114,7 @@ }, "trackedObjectDelete": { "title": "削除の確認", - "desc": "これら {{objectLength}} 件の追跡オブジェクトを削除すると、スナップショット、保存された埋め込み、関連するオブジェクトのライフサイクル項目が削除されます。履歴ビューの録画映像は削除されません。

    続行してもよろしいですか？

    今後このダイアログを表示しない場合は Shift キーを押しながら操作してください。", + "desc": "これら {{objectLength}} 件の追跡オブジェクトを削除すると、スナップショット、保存された埋め込み、関連するオブジェクトのライフサイクル項目が削除されます。履歴ビューの録画映像は削除されません。

    続行してもよろしいですか？

    今後このダイアログを表示しない場合は Shift キーを押しながら操作してください。", "toast": { "success": "追跡オブジェクトを削除しました。", "error": "追跡オブジェクトの削除に失敗しました: {{errorMessage}}" diff --git a/web/public/locales/ja/components/player.json b/web/public/locales/ja/components/player.json index 93befd9745..0fa36434d7 100644 --- a/web/public/locales/ja/components/player.json +++ b/web/public/locales/ja/components/player.json @@ -8,7 +8,8 @@ }, "submitFrigatePlus": { "title": "このフレームを Frigate+ に送信しますか？", - "submit": "送信" + "submit": "送信", + "previewError": "スナップショットのプレビューを読み込めませんでした。現在、この録画は利用できない可能性があります。" }, "livePlayerRequiredIOSVersion": "このライブストリームタイプには iOS 17.1 以上が必要です。", "cameraDisabled": "カメラは無効です", diff --git a/web/public/locales/ja/config/cameras.json b/web/public/locales/ja/config/cameras.json index 8c5cb3254f..24c0782779 100644 --- a/web/public/locales/ja/config/cameras.json +++ b/web/public/locales/ja/config/cameras.json @@ -1,22 +1,96 @@ { "label": "カメラ設定", "name": { - "label": "カメラ名" + "label": "カメラ名", + "description": "カメラ名は必須です" }, "enabled": { "label": "有効", "description": "有効" }, "audio": { - "label": "音声イベント", + "label": "音声検出", "enabled": { - "label": "音声検知を有効化" + "label": "音声検知を有効化", + "description": "このカメラのオーディオイベント検出を有効または無効にします。" }, "min_volume": { - "label": "最小ボリューム" + "label": "最小ボリューム", + "description": "オーディオ検出を実行するために必要な最小RMS音量閾値。値を小さくすると感度が高くなります（例：200=高、500=中、1000=低）。" }, "filters": { - "label": "音声フィルタ" + "label": "音声フィルタ", + "description": "誤検出を減らすために使用される信頼度閾値などのフィルタ設定（オーディオタイプごと）。" + }, + "description": "このカメラの音声ベースのイベント検出設定。", + "max_not_heard": { + "label": "タイムアウト終了", + "description": "オーディオイベントが終了するまでの残り秒数（設定されたオーディオタイプを除く）。" + }, + "listen": { + "label": "リスニングタイプ", + "description": "検出対象の音声イベントの種類一覧（例：吠え声、火災報知器、悲鳴、会話、叫び声）。" + }, + "enabled_in_config": { + "label": "元の音声状態", + "description": "静的設定ファイルで、音声検出が当初有効にされていたかどうかを示します。" + }, + "num_threads": { + "label": "検出スレッド", + "description": "音声検出処理に使用するスレッド数。" } + }, + "friendly_name": { + "label": "表示名", + "description": "Frigate UIで使用されるカメラの表示名" + }, + "audio_transcription": { + "label": "音声文字起こし", + "description": "イベントやリアルタイム字幕に使用される、ライブ音声およびスピーチ音声の文字起こし設定。", + "enabled": { + "label": "音声文字起こしを有効にする", + "description": "手動でトリガーされる音声イベントの文字起こしを有効または無効にします。" + }, + "enabled_in_config": { + "label": "元の文字起こし状態" + }, + "live_enabled": { + "label": "ライブ文字起こし", + "description": "音声を受信した時点で、リアルタイム文字起こしを有効にします。" + } + }, + "birdseye": { + "label": "バードアイ", + "description": "複数のカメラ映像を1つのレイアウトに合成する「バードアイ」合成ビューの設定。", + "enabled": { + "label": "バードアイを有効にする", + "description": "バードアイビュー機能を有効または無効にします。" + }, + "mode": { + "label": "トラッキングモード", + "description": "バードアイにカメラを含めるモード：「オブジェクト」「モーション」または「連続」。" + }, + "order": { + "label": "位置", + "description": "バードアイレイアウトにおけるカメラの並び順を決定する数値。" + } + }, + "detect": { + "label": "物体検出", + "description": "物体検出の実行やトラッカーの初期化に使用される、検出や検出ロールの設定。", + "enabled": { + "label": "物体検知を有効にする", + "description": "このカメラの物体検知機能を有効または無効にします。" + }, + "height": { + "label": "高さを検出", + "description": "検出ストリームに使用するフレーム高さ（ピクセル）。ネイティブストリーム解像度を使用する場合は、空欄のままにしてください。" + }, + "width": { + "label": "幅を検出" + } + }, + "mqtt": { + "label": "MQTT" } } diff --git a/web/public/locales/ja/config/global.json b/web/public/locales/ja/config/global.json index 2073a59d8c..f563742e18 100644 --- a/web/public/locales/ja/config/global.json +++ b/web/public/locales/ja/config/global.json @@ -4,38 +4,164 @@ "description": "有効にすると、トラブルシューティングのため機能を制限したセーフモードでFrigateを起動します。" }, "environment_vars": { - "label": "環境変数" + "label": "環境変数", + "description": "Home Assistant OS の Frigate プロセスに設定する環境変数のキー/値ペア。HAOS をご利用でない場合は、代わりに Docker の環境変数設定を使用してください。" }, "audio": { - "label": "音声イベント", + "label": "音声検出", "enabled": { "label": "音声検知を有効化" }, "min_volume": { - "label": "最小ボリューム" + "label": "最小ボリューム", + "description": "オーディオ検出を実行するために必要な最小RMS音量閾値。値を小さくすると感度が高くなります（例：200=高、500=中、1000=低）。" }, "filters": { - "label": "音声フィルタ" + "label": "音声フィルタ", + "description": "誤検出を減らすために使用される信頼度閾値などのフィルタ設定（オーディオタイプごと）。" + }, + "max_not_heard": { + "label": "タイムアウト終了", + "description": "オーディオイベントが終了するまでの残り秒数（設定されたオーディオタイプを除く）。" + }, + "listen": { + "label": "リスニングタイプ", + "description": "検出対象の音声イベントの種類一覧（例：吠え声、火災報知器、悲鳴、会話、叫び声）。" + }, + "enabled_in_config": { + "label": "元の音声状態", + "description": "静的設定ファイルで、音声検出が当初有効にされていたかどうかを示します。" + }, + "num_threads": { + "label": "検出スレッド", + "description": "音声検出処理に使用するスレッド数。" } }, "logger": { "default": { - "label": "ログレベル" + "label": "ログレベル", + "description": "デフォルトのグローバルログの詳細度 (debug, info, warning, error)。" }, "logs": { - "label": "プロセス毎のログレベル" - } + "label": "プロセス毎のログレベル", + "description": "コンポーネントごとのログレベルの上書きにより、特定のモジュールのログ詳細度を増減できます。" + }, + "label": "ログ記録", + "description": "デフォルトのログ詳細度とコンポーネントごとのログレベルの上書きを制御します。" }, "auth": { "label": "認証", "enabled": { - "label": "認証を有効化" + "label": "認証を有効化", + "description": "Frigate UI でネイティブ認証を有効にする。" }, "reset_admin_password": { - "label": "adminパスワードをリセット" + "label": "adminパスワードをリセット", + "description": "もし本当なら、起動時に管理者ユーザーのパスワードをリセットし、新しいパスワードをログに出力します。" + }, + "description": "認証およびセッション関連の設定（Cookieやレート制限オプションを含む）。", + "cookie_name": { + "label": "JWT Cookie名", + "description": "ネイティブ認証用のJWTトークンを保存するために使用されるCookie名。" + }, + "cookie_secure": { + "label": "Cookie のセキュリティフラグ", + "description": "認証Cookieにセキュアフラグを設定します。TLSを使用する場合はtrueにする必要があります。" + }, + "session_length": { + "label": "セッションの期間", + "description": "JWTベースのセッション継続時間（秒単位）。" + }, + "refresh_time": { + "label": "セッション更新ウィンドウ", + "description": "セッションの有効期限が切れるまで残り数秒になったら、セッションを元の期間に更新します。" + }, + "failed_login_rate_limit": { + "label": "ログイン失敗回数の上限", + "description": "ログイン失敗時の試行回数を制限するルールを設けることで、総当たり攻撃を軽減する。" + }, + "trusted_proxies": { + "label": "信頼できるプロキシ", + "description": "レート制限のためクライアントIPアドレスを特定する際に使用される、信頼できるプロキシIPのリスト。" + }, + "hash_iterations": { + "label": "ハッシュ反復処理", + "description": "ユーザーパスワードのハッシュ化に使用するPBKDF2-SHA256の反復回数。" + }, + "roles": { + "label": "ロールのマッピング", + "description": "ロールをカメラリストに割り当てます。リストが空の場合、そのロールのユーザーは全てのカメラにアクセスできます。" + }, + "admin_first_time_login": { + "label": "初回管理者フラグ", + "description": "この設定が「true」の場合、ログインページにヘルプリンクが表示され、管理者パスワードのリセット後にログインする方法がユーザーに案内されることがあります。 " } }, "version": { - "label": "現在の設定バージョン" + "label": "現在の設定バージョン", + "description": "移行やフォーマット変更の検出に役立つ、アクティブな設定の数値または文字列バージョン。" + }, + "audio_transcription": { + "label": "音声文字起こし", + "description": "イベントやリアルタイム字幕に使用される、ライブ音声およびスピーチ音声の文字起こし設定。", + "live_enabled": { + "label": "ライブ文字起こし", + "description": "音声を受信した時点で、リアルタイム文字起こしを有効にします。" + }, + "enabled": { + "label": "音声文字起こしを有効にする" + } + }, + "birdseye": { + "label": "バードアイ", + "description": "複数のカメラ映像を1つのレイアウトに合成する「バードアイ」合成ビューの設定。", + "enabled": { + "label": "バードアイを有効にする", + "description": "バードアイビュー機能を有効または無効にします。" + }, + "mode": { + "label": "トラッキングモード", + "description": "バードアイにカメラを含めるモード：「オブジェクト」「モーション」または「連続」。" + }, + "order": { + "label": "位置", + "description": "バードアイレイアウトにおけるカメラの並び順を決定する数値。" + } + }, + "database": { + "label": "データベース", + "description": "Frigateが追跡対象や録画メタデータを保存するために使用するSQLiteデータベースの設定。", + "path": { + "label": "データベースパス", + "description": "FrigateのSQLiteデータベースファイルが保存されるファイルシステムパス。" + } + }, + "detect": { + "label": "物体検出", + "description": "物体検出の実行やトラッカーの初期化に使用される、検出や検出ロールの設定。", + "enabled": { + "label": "物体検知を有効にする" + }, + "height": { + "label": "高さを検出", + "description": "検出ストリームに使用するフレーム高さ（ピクセル）。ネイティブストリーム解像度を使用する場合は、空欄のままにしてください。" + }, + "width": { + "label": "幅を検出" + } + }, + "go2rtc": { + "label": "go2rtc", + "description": "ライブストリーム中継および変換に利用される、統合型go2rtcリストリーミングサービスの設定。" + }, + "mqtt": { + "label": "MQTT", + "description": "テレメトリー、スナップショット、およびイベントの詳細をMQTTブローカーに接続して公開するための設定。", + "enabled": { + "label": "MQTTを有効にする" + } + }, + "telemetry": { + "label": "テレメトリー" } } diff --git a/web/public/locales/ja/config/groups.json b/web/public/locales/ja/config/groups.json index 7d00539482..b09db04cd5 100644 --- a/web/public/locales/ja/config/groups.json +++ b/web/public/locales/ja/config/groups.json @@ -12,12 +12,19 @@ "timestamp_style": { "cameras": { "appearance": "外観" + }, + "global": { + "appearance": "全体の外観" } }, "motion": { "cameras": { "sensitivity": "感度", "algorithm": "アルゴリズム" + }, + "global": { + "sensitivity": "グローバル感度", + "algorithm": "グローバルアルゴリズム" } }, "detect": { @@ -42,7 +49,25 @@ }, "record": { "global": { - "events": "グローバルイベント" + "events": "グローバルイベント", + "retention": "グローバルリテンション" + }, + "cameras": { + "retention": "リテンション", + "events": "イベント" + } + }, + "snapshots": { + "global": { + "display": "グローバル表示" + }, + "cameras": { + "display": "表示" + } + }, + "ffmpeg": { + "cameras": { + "cameraFfmpeg": "カメラ固有のFFmpeg引数" } } } diff --git a/web/public/locales/ja/config/validation.json b/web/public/locales/ja/config/validation.json index 5b67869a7e..03073d0763 100644 --- a/web/public/locales/ja/config/validation.json +++ b/web/public/locales/ja/config/validation.json @@ -2,5 +2,31 @@ "pattern": "無効なフォーマット", "required": "この項目は必須です", "type": "無効な値タイプ", - "format": "無効なフォーマット" + "format": "無効なフォーマット", + "minimum": "{{limit}} 以上である必要があります", + "maximum": "{{limit}} 以下でなければなりません", + "exclusiveMinimum": "{{limit}} より大きい値である必要があります", + "exclusiveMaximum": "{{limit}} 未満でなければなりません", + "minLength": "{{limit}} 文字以上入力してください", + "maxLength": "最大 {{limit}} 文字までです", + "minItems": "{{limit}} 個以上のアイテムが必要です", + "maxItems": "アイテムは最大 {{limit}} 個までです", + "enum": "許可された値のいずれかである必要があります", + "const": "値が期待される定数と一致しません", + "uniqueItems": "全てのアイテムは一意である必要があります", + "additionalProperties": "不明なプロパティは使用できません", + "oneOf": "許可されたスキーマのうち、いずれか一つに完全一致する必要があります", + "anyOf": "許可されたスキーマのうち、少なくとも1つに一致する必要があります", + "proxy": { + "header_map": { + "roleHeaderRequired": "ロールのマッピングを設定する際は、ロールヘッダーが必要です。" + } + }, + "ffmpeg": { + "inputs": { + "rolesUnique": "各ロールは、1つの入力ストリームにのみ割り当てることができます。", + "detectRequired": "少なくとも1つの入力ストリームに「detect」ロールを割り当てる必要があります。", + "hwaccelDetectOnly": "ハードウェアアクセラレーション引数を定義できるのは、detect ロールを持つ入力ストリームのみです。" + } + } } diff --git a/web/public/locales/ja/views/chat.json b/web/public/locales/ja/views/chat.json new file mode 100644 index 0000000000..be73c63f59 --- /dev/null +++ b/web/public/locales/ja/views/chat.json @@ -0,0 +1,37 @@ +{ + "documentTitle": "チャット - Frigate", + "title": "Frigate チャット", + "subtitle": "カメラ管理と分析のためのAIアシスタント", + "placeholder": "何でも聞いてください…", + "error": "問題が発生しました。もう一度お試しください。", + "processing": "処理中...", + "toolsUsed": "使用済み: {{tools}}", + "showTools": "ツールを表示 ({{count}})", + "hideTools": "ツールを非表示", + "call": "呼び出す", + "result": "結果", + "arguments": "引数：", + "response": "回答：", + "attachment_chip_label": "{{camera}} の {{label}}", + "attachment_chip_remove": "添付ファイルを削除", + "open_in_explore": "エクスプローラーで開く", + "attach_event_aria": "イベント {{eventId}} を添付する", + "attachment_picker_paste_label": "またはイベントIDを貼り付け", + "attachment_picker_attach": "添付", + "attachment_picker_placeholder": "イベントを添付", + "quick_reply_find_similar": "類似の目撃情報を探す", + "quick_reply_tell_me_more": "これについてもっと詳しく教えてください", + "quick_reply_when_else": "他にいつ目撃されたか？", + "quick_reply_find_similar_text": "これと似た目撃情報を探す。", + "quick_reply_tell_me_more_text": "これについてもっと詳しく教えてください。", + "quick_reply_when_else_text": "これと同じようなことが他にありましたか？", + "anchor": "参照", + "similarity_score": "類似性", + "no_similar_objects_found": "類似するオブジェクトは見つかりませんでした。", + "semantic_search_required": "類似オブジェクトを検索するには、セマンティック検索を有効にする必要があります。", + "send": "送信", + "suggested_requests": "質問してみてください：", + "starting_requests": { + "show_recent_events": "最近のイベントを表示" + } +} diff --git a/web/public/locales/ja/views/classificationModel.json b/web/public/locales/ja/views/classificationModel.json index 1801353900..ccd1c2c07f 100644 --- a/web/public/locales/ja/views/classificationModel.json +++ b/web/public/locales/ja/views/classificationModel.json @@ -12,14 +12,15 @@ }, "toast": { "success": { - "deletedImage_other": "削除された画像", + "deletedImage_other": "{{count}} 件の削除された画像", "categorizedImage": "画像の分類に成功しました", "trainedModel": "モデルを正常に学習させました。", "trainingModel": "モデルのトレーニングを正常に開始しました。", - "deletedCategory_other": "クラスを削除しました", + "deletedCategory_other": "{{count}} 件のクラスを削除しました", "deletedModel_other": "{{count}} 件のモデルを削除しました", "updatedModel": "モデル設定を更新しました", - "renamedCategory": "クラス名を {{name}} に変更しました" + "renamedCategory": "クラス名を {{name}} に変更しました", + "reclassifiedImage": "画像の再分類に成功しました" }, "error": { "deleteImageFailed": "削除に失敗しました: {{errorMessage}}", @@ -29,7 +30,8 @@ "trainingFailed": "モデルの学習に失敗しました。Frigate のログを確認してください。", "trainingFailedToStart": "モデルの学習を開始できませんでした: {{errorMessage}}", "updateModelFailed": "モデルの更新に失敗しました: {{errorMessage}}", - "renameCategoryFailed": "クラス名の変更に失敗しました: {{errorMessage}}" + "renameCategoryFailed": "クラス名の変更に失敗しました: {{errorMessage}}", + "reclassifyFailed": "画像の再分類に失敗しました：{{errorMessage}}" } }, "train": { diff --git a/web/public/locales/ja/views/events.json b/web/public/locales/ja/views/events.json index 544412974f..6e9273cefa 100644 --- a/web/public/locales/ja/views/events.json +++ b/web/public/locales/ja/views/events.json @@ -16,7 +16,9 @@ }, "camera": "カメラ", "allCameras": "全カメラ", - "timeline": "タイムライン", + "timeline": { + "label": "タイムライン" + }, "timeline.aria": "タイムラインを選択", "events": { "label": "イベント", @@ -25,7 +27,9 @@ }, "documentTitle": "レビュー - Frigate", "recordings": { - "documentTitle": "録画 - Frigate" + "documentTitle": "録画 - Frigate", + "invalidSharedLink": "解析エラーのため、タイムスタンプ付きの録画リンクを開くことができません。", + "invalidSharedCamera": "不明または未承認のカメラのため、タイムスタンプ付き録画のリンクを開くことができません。" }, "calendarFilter": { "last24Hours": "直近24時間" @@ -36,8 +40,8 @@ "label": "新しいレビュー項目を表示", "button": "レビューすべき新規項目" }, - "selected_one": "{{count}} 件選択", - "selected_other": "{{count}} 件選択", + "selected_one": "{{count}} 選択済み", + "selected_other": "{{count}} 選択済み", "detected": "検出", "suspiciousActivity": "不審なアクティビティ", "threateningActivity": "脅威となるアクティビティ", @@ -63,5 +67,9 @@ "select_all": "すべて", "normalActivity": "通常", "needsReview": "要確認", - "securityConcern": "セキュリティ上の懸念" + "securityConcern": "セキュリティ上の懸念", + "motionSearch": { + "menuItem": "モーション検索", + "openMenu": "カメラオプション" + } } diff --git a/web/public/locales/ja/views/explore.json b/web/public/locales/ja/views/explore.json index 35265cc506..2789e800f5 100644 --- a/web/public/locales/ja/views/explore.json +++ b/web/public/locales/ja/views/explore.json @@ -224,7 +224,7 @@ "dialog": { "confirmDelete": { "title": "削除の確認", - "desc": "この追跡オブジェクトを削除すると、スナップショット、保存された埋め込み、および関連する追跡詳細項目が削除されます。履歴ビューの録画映像は削除されません。

    続行してもよろしいですか？" + "desc": "この追跡オブジェクトを削除すると、スナップショット、保存された埋め込み、および関連する追跡詳細項目が削除されます。履歴ビューの録画映像は削除されません。

    続行してもよろしいですか？" } }, "noTrackedObjects": "追跡オブジェクトは見つかりませんでした", diff --git a/web/public/locales/ja/views/exports.json b/web/public/locales/ja/views/exports.json index b32c8c62f4..767c05a11a 100644 --- a/web/public/locales/ja/views/exports.json +++ b/web/public/locales/ja/views/exports.json @@ -1,23 +1,127 @@ { "documentTitle": "エクスポート - Frigate", - "noExports": "書き出しは見つかりません", + "noExports": "エクスポートが見つかりません", "search": "検索", - "deleteExport": "書き出しを削除", + "deleteExport": { + "label": "エクスポートを削除" + }, "deleteExport.desc": "{{exportName}} を削除してもよろしいですか？", "editExport": { - "title": "書き出し名を変更", - "desc": "この書き出しの新しい名前を入力してください。", - "saveExport": "書き出しを保存" + "title": "エクスポート名を変更", + "desc": "このエクスポートの新しい名前を入力してください。", + "saveExport": "エクスポートを保存" }, "toast": { "error": { - "renameExportFailed": "書き出し名の変更に失敗しました: {{errorMessage}}" + "renameExportFailed": "エクスポート名の変更に失敗しました: {{errorMessage}}", + "assignCaseFailed": "ケース割り当ての更新に失敗しました: {{errorMessage}}", + "caseSaveFailed": "ケースの保存に失敗しました: {{errorMessage}}", + "caseDeleteFailed": "ケースの削除に失敗しました: {{errorMessage}}" } }, "tooltip": { "shareExport": "エクスポートを共有", "downloadVideo": "動画をダウンロード", "editName": "名前を編集", - "deleteExport": "エクスポートを削除" + "deleteExport": "エクスポートを削除", + "assignToCase": "ケースに追加", + "removeFromCase": "ケースから削除" + }, + "headings": { + "cases": "ケース", + "uncategorizedExports": "未分類のエクスポート" + }, + "toolbar": { + "newCase": "新しいケース", + "addExport": "エクスポートに追加", + "editCase": "ケースを編集", + "deleteCase": "ケースを削除" + }, + "deleteCase": { + "label": "ケースを削除", + "desc": "本当に {{caseName}} を削除しますか ？", + "descKeepExports": "エクスポートは、分類されていないエクスポートとして引き続き利用可能です。", + "descDeleteExports": "この場合、すべてのエクスポートは完全に削除されます。", + "deleteExports": "エクスポートも削除する" + }, + "caseDialog": { + "title": "ケースに追加", + "description": "既存のケースを選択するか、新しいケースを作成してください。", + "selectLabel": "ケース", + "newCaseOption": "新しいケースを作成", + "nameLabel": "ケース名", + "descriptionLabel": "説明" + }, + "caseCard": { + "emptyCase": "まだエクスポートされていません" + }, + "jobCard": { + "defaultName": "{{camera}} エクスポート", + "queued": "キューに追加しました", + "running": "実行中", + "preparing": "準備中", + "copying": "コピー中", + "encoding": "エンコード中", + "encodingRetry": "エンコード中 (再試行)", + "finalizing": "終了処理中" + }, + "caseView": { + "noDescription": "説明がありません", + "exportCount_one": "1 件のエクスポート", + "exportCount_other": "{{count}} エクスポート", + "cameraCount_other": "{{count}} カメラ", + "showMore": "さらに表示", + "showLess": "表示を減らす", + "emptyTitle": "このケースは空です", + "emptyDescription": "既存の分類されていないエクスポートを追加して、ケースを整理しましょう。", + "emptyDescriptionNoExports": "まだ追加可能な未分類のエクスポートはありません。", + "createdAt": "作成日 {{value}}" + }, + "caseEditor": { + "createTitle": "ケースを作成", + "editTitle": "ケースを編集", + "namePlaceholder": "ケース名", + "descriptionPlaceholder": "このケースに関するメモや背景情報を追加する" + }, + "addExportDialog": { + "title": "{{caseName}} にエクスポートを追加", + "searchPlaceholder": "未分類のエクスポートを検索", + "empty": "この検索条件に一致する未分類のエクスポートはありません。", + "addButton_one": "1 件のエクスポートを追加", + "addButton_other": "{{count}} 件のエクスポートを追加", + "adding": "追加中..." + }, + "selected_one": "{{count}} 選択済み", + "selected_other": "{{count}} 選択済み", + "bulkActions": { + "addToCase": "ケースに追加", + "moveToCase": "ケースに移動", + "removeFromCase": "ケースから削除", + "delete": "削除", + "deleteNow": "今すぐ削除" + }, + "bulkDelete": { + "title": "エクスポートを削除", + "desc_one": "{{count}} 件のエクスポートを削除してもよろしいですか？", + "desc_other": "{{count}} 件のエクスポートを削除してもよろしいですか？" + }, + "bulkRemoveFromCase": { + "title": "ケースから削除", + "desc_one": "このケースから {{count}} 件のエクスポートを削除しますか？", + "desc_other": "このケースから {{count}} 件のエクスポートを削除しますか？", + "descKeepExports": "エクスポートは未分類に移動されます。", + "descDeleteExports": "エクスポートは完全に削除されます。", + "deleteExports": "代わりにエクスポートを削除する" + }, + "bulkToast": { + "success": { + "delete": "エクスポートの削除に成功しました", + "reassign": "ケース割り当ての更新に成功しました", + "remove": "ケースからエクスポートを正常に削除しました" + }, + "error": { + "deleteFailed": "エクスポートの削除に失敗しました: {{errorMessage}}", + "reassignFailed": "ケース割り当ての更新に失敗しました: {{errorMessage}}" + } } } diff --git a/web/public/locales/ja/views/faceLibrary.json b/web/public/locales/ja/views/faceLibrary.json index fdf43a65cf..9446398abf 100644 --- a/web/public/locales/ja/views/faceLibrary.json +++ b/web/public/locales/ja/views/faceLibrary.json @@ -93,5 +93,7 @@ "trainFailed": "学習に失敗しました: {{errorMessage}}", "updateFaceScoreFailed": "顔スコアの更新に失敗しました: {{errorMessage}}" } - } + }, + "reclassifyFaceAs": "顔を再分類する:", + "reclassifyFace": "顔の再分類" } diff --git a/web/public/locales/ja/views/live.json b/web/public/locales/ja/views/live.json index fe73c1d08e..8fde1adb18 100644 --- a/web/public/locales/ja/views/live.json +++ b/web/public/locales/ja/views/live.json @@ -1,5 +1,7 @@ { - "documentTitle": "ライブ - Frigate", + "documentTitle": { + "default": "ライブ - Frigate" + }, "documentTitle.withCamera": "{{camera}} - ライブ - Frigate", "lowBandwidthMode": "低帯域モード", "twoWayTalk": { @@ -15,7 +17,8 @@ "clickMove": { "label": "フレーム内をクリックしてカメラを中央に移動", "enable": "クリック移動を有効化", - "disable": "クリック移動を無効化" + "disable": "クリック移動を無効化", + "enableWithZoom": "クリックで移動、ドラッグでズームを有効にする" }, "left": { "label": "PTZ カメラを左へ移動" @@ -67,7 +70,8 @@ }, "recording": { "enable": "録画を有効化", - "disable": "録画を無効化" + "disable": "録画を無効化", + "disabledInConfig": "このカメラでは、まず「設定」で録画機能を有効にする必要があります。" }, "snapshots": { "enable": "スナップショットを有効化", diff --git a/web/public/locales/ja/views/motionSearch.json b/web/public/locales/ja/views/motionSearch.json new file mode 100644 index 0000000000..6e0d6b4b64 --- /dev/null +++ b/web/public/locales/ja/views/motionSearch.json @@ -0,0 +1,42 @@ +{ + "documentTitle": "モーション検索 - Frigate", + "title": "モーション検索", + "description": "関心領域を定義する多角形を描画し、その領域内で動きの変化を検索する時間範囲を指定します。", + "selectCamera": "モーション検索を読み込み中です", + "dialog": { + "title": "モーション検索", + "cameraLabel": "カメラ", + "previewAlt": "{{camera}} のカメラプレビュー" + }, + "startSearch": "検索開始", + "searchStarted": "検索を開始しました", + "searchCancelled": "検索がキャンセルされました", + "cancelSearch": "キャンセル", + "searching": "検索中です。", + "searchComplete": "検索完了", + "noResultsYet": "選択した領域内の動きの変化を検索します", + "noChangesFound": "選択した領域でピクセルの変化は検出されませんでした", + "changesFound_other": "{{count}} 件の動きの変化が見つかりました", + "framesProcessed": "{{count}} フレームを処理しました", + "jumpToTime": "この時間に移動", + "results": "結果", + "showSegmentHeatmap": "ヒートマップ", + "newSearch": "新規検索", + "clearResults": "結果をクリア", + "clearROI": "ポリゴンをクリア", + "polygonControls": { + "points_other": "{{count}} ポイント", + "undo": "直前のポイントを元に戻す", + "reset": "ポリゴンをリセット" + }, + "motionHeatmapLabel": "モーションヒートマップ", + "timeRange": { + "title": "検索範囲", + "start": "開始時間", + "end": "終了時間" + }, + "settings": { + "title": "検索設定", + "parallelMode": "並列モード" + } +} diff --git a/web/public/locales/ja/views/replay.json b/web/public/locales/ja/views/replay.json new file mode 100644 index 0000000000..d3c3a6a844 --- /dev/null +++ b/web/public/locales/ja/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "デバッグリプレイ", + "description": "デバッグ用にカメラの録画をリプレイします。オブジェクトリストには検出されたオブジェクトの遅延サマリーが表示され、「メッセージ」タブにはリプレイ映像からのFrigate内部メッセージのストリームが表示されます。", + "websocket_messages": "メッセージ", + "dialog": { + "title": "デバッグリプレイを開始", + "description": "オブジェクトの検出やトラッキングの問題をデバッグするために、過去の映像をループ再生する一時的なリプレイカメラを作成します。このリプレイカメラは、ソースカメラ（元カメラ）と同じ検出設定を引き継ぎます。開始する時間範囲を選択してください。", + "camera": "ソースカメラ", + "timeRange": "時間範囲", + "preset": { + "1m": "直近1分間", + "5m": "直近5分間", + "timeline": "タイムラインから選択", + "custom": "カスタム" + }, + "startButton": "リプレイ開始", + "selectFromTimeline": "選択", + "starting": "リプレイを開始しています...", + "startLabel": "開始", + "endLabel": "終了", + "toast": { + "error": "デバッグリプレイの開始に失敗しました: {{error}}", + "alreadyActive": "リプレイセッションはすでに実行中です", + "stopError": "デバッグリプレイの停止に失敗しました: {{error}}", + "goToReplay": "リプレイへ移動" + } + }, + "page": { + "noSession": "アクティブなデバッグリプレイセッションはありません", + "noSessionDesc": "履歴ビューからデバッグリプレイを開始するには、ツールバーの「アクション」ボタンをクリックし、「デバッグリプレイ」を選択してください。", + "goToRecordings": "履歴画面へ", + "preparingClip": "クリップを準備しています…", + "preparingClipDesc": "Frigateは選択された時間範囲の録画を結合しています。指定した期間が長い場合、処理に1分ほどかかる場合があります。", + "startingCamera": "デバッグリプレイを開始しています…", + "startError": { + "title": "デバッグリプレイの開始に失敗しました", + "back": "履歴へ戻る" + }, + "sourceCamera": "ソースカメラ", + "replayCamera": "リプレイカメラ", + "initializingReplay": "デバッグリプレイを初期化しています...", + "stoppingReplay": "デバッグリプレイを停止しています...", + "stopReplay": "リプレイを停止", + "confirmStop": { + "title": "デバッグリプレイを停止しますか？", + "description": "セッションを停止し、すべての一時データを削除します。よろしいですか？", + "confirm": "リプレイ停止", + "cancel": "キャンセル" + }, + "activity": "アクティビティ", + "objects": "オブジェクトリスト", + "audioDetections": "オーディオ検出", + "noActivity": "アクティビティは検出されませんでした", + "activeTracking": "アクティブトラッキング", + "noActiveTracking": "アクティブトラッキングなし", + "configuration": "設定", + "configurationDesc": "デバッグリプレイカメラのモーション検知およびオブジェクトトラッキング設定を微調整します。ここで行った変更はFrigateの設定ファイルには保存されません。" + } +} diff --git a/web/public/locales/ja/views/settings.json b/web/public/locales/ja/views/settings.json index 324fec9642..db762c8d5d 100644 --- a/web/public/locales/ja/views/settings.json +++ b/web/public/locales/ja/views/settings.json @@ -13,7 +13,9 @@ "cameraManagement": "カメラ設定 - Frigate", "cameraReview": "カメラレビュー設定 - Frigate", "maintenance": "メンテナンス - Frigate", - "profiles": "プロファイル - Frigate" + "profiles": "プロファイル - Frigate", + "globalConfig": "グローバル設定 - Frigate", + "cameraConfig": "カメラ設定 - Frigate" }, "menu": { "ui": "UI", @@ -31,7 +33,29 @@ "roles": "区分", "general": "一般", "globalConfig": "グローバル設定", - "system": "システム" + "system": "システム", + "integrations": "統合", + "uiSettings": "UI設定", + "profiles": "プロファイル", + "globalDetect": "物体検出", + "globalRecording": "録画", + "globalSnapshots": "スナップショット", + "globalFfmpeg": "FFmpeg", + "globalMotion": "動体検出", + "globalObjects": "オブジェクト", + "globalReview": "レビュー", + "globalAudioEvents": "オーディオイベント", + "globalLivePlayback": "ライブ再生", + "globalTimestampStyle": "タイムスタンプ形式", + "systemDatabase": "データベース", + "systemTls": "TLS", + "systemAuthentication": "認証", + "systemNetworking": "ネットワーキング", + "systemProxy": "プロキシ", + "systemUi": "UI", + "systemLogging": "ロギング", + "systemEnvironmentVariables": "環境変数", + "systemTelemetry": "テレメトリー" }, "dialog": { "unsavedChanges": { @@ -113,7 +137,7 @@ "desc": "Frigate のセマンティック検索では、画像そのもの、ユーザー定義のテキスト説明、または自動生成された説明を用いて、レビュー項目内の追跡オブジェクトを検索できます。", "reindexNow": { "label": "今すぐ再インデックス", - "desc": "再インデックスは、すべての追跡オブジェクトの埋め込みを再生成します。バックグラウンドで実行され、追跡オブジェクト数によっては CPU を使い切り、相応の時間がかかる場合があります。", + "desc": "インデックスの再構築を行うと、追跡対象のすべてのオブジェクトの埋め込みが再生成されます。この処理はバックグラウンドで実行され、追跡対象のオブジェクトの数によってはCPU使用率が最大になり、かなりの時間がかかる場合があります。", "confirmTitle": "再インデックスの確認", "confirmDesc": "すべての追跡オブジェクトの埋め込みを再インデックスしますか？この処理はバックグラウンドで実行されますが、CPU を使い切り、時間がかかる場合があります。進行状況は［探索］ページで確認できます。", "confirmButton": "再インデックス", @@ -244,7 +268,7 @@ } }, "motionMaskLabel": "モーションマスク {{number}}", - "objectMaskLabel": "オブジェクトマスク {{number}}（{{label}}）", + "objectMaskLabel": "オブジェクトマスク {{number}}", "form": { "zoneName": { "error": { @@ -594,7 +618,7 @@ "admin": "管理者", "adminDesc": "すべての機能にフルアクセス。", "viewer": "閲覧者", - "viewerDesc": "ライブ、レビュー、探索、書き出しに限定。", + "viewerDesc": "ライブ、レビュー、探索、エクスポートに限定。", "customDesc": "特定のカメラアクセスを持つカスタムロール。" } } @@ -725,7 +749,7 @@ "snapshotConfig": { "title": "スナップショット設定", "desc": "Frigate+ への送信には、設定でスナップショットと clean_copy スナップショットの両方を有効にする必要があります。", - "cleanCopyWarning": "一部のカメラではスナップショットは有効ですが、クリーンコピーが無効です。これらのカメラから Frigate+ へ画像を送信するには、スナップショット設定で clean_copy を有効にしてください。", + "cleanCopyWarning": "一部のカメラではスナップショット機能が無効になっています", "table": { "camera": "カメラ", "snapshots": "スナップショット", @@ -937,7 +961,7 @@ "quality": "品質", "selectQuality": "品質を選択", "roleLabels": { - "detect": "オブジェクト検出", + "detect": "物体検出", "record": "録画", "audio": "音声" }, @@ -952,7 +976,7 @@ "detectRoleWarning": "続行するには、少なくとも 1 つのストリームに「検出」ロールが必要です。", "rolesPopover": { "title": "ストリーム ロール", - "detect": "オブジェクト検出用のメイン フィードです。", + "detect": "物体検出用のメイン フィードです。", "record": "設定に基づいて映像フィードのセグメントを保存します。", "audio": "音声ベース検出用のフィードです。" }, @@ -1227,5 +1251,25 @@ "success": "レビュー分類の設定を保存しました。変更を適用するには Frigate を再起動してください。" } } + }, + "maintenance": { + "sync": { + "status": { + "queued": "キューに追加済み" + } + } + }, + "button": { + "overriddenGlobal": "上書き済み（グローバル）", + "overriddenGlobalTooltip": "このカメラは、このセクションのグローバル設定を上書きします", + "overriddenBaseConfig": "上書き済み（基本設定）", + "overriddenBaseConfigTooltip": "{{profile}} プロファイルは、このセクションの設定を上書きします", + "overriddenInCameras": { + "label_other": "{{count}} 台のカメラで上書きされました", + "tooltip_other": "{{count}} 台のカメラがこのセクションの設定値を上書きしています。詳細を表示するにはクリックしてください。", + "heading_other": "このグローバルセクションには、{{count}} 台のカメラで上書きされているフィールドがあります。", + "othersField_other": "{{count}} その他", + "profilePrefix": "{{profile}} プロファイル: {{fields}}" + } } } diff --git a/web/public/locales/ja/views/system.json b/web/public/locales/ja/views/system.json index d3f8f88a71..fd64e58a1b 100644 --- a/web/public/locales/ja/views/system.json +++ b/web/public/locales/ja/views/system.json @@ -7,7 +7,8 @@ "logs": { "frigate": "Frigate ログ - Frigate", "go2rtc": "Go2RTC ログ - Frigate", - "nginx": "Nginx ログ - Frigate" + "nginx": "Nginx ログ - Frigate", + "websocket": "メッセージログ - Frigate" } }, "title": "システム", @@ -42,7 +43,23 @@ "filter": { "events": "イベント", "classification": "分類", - "face_recognition": "顔認識" + "face_recognition": "顔認識", + "all": "全てのトピックス", + "topics": "トピックス", + "reviews": "レビュー", + "lpr": "LPR", + "camera_activity": "カメラアクティビティ", + "system": "システム", + "camera": "カメラ", + "all_cameras": "全てのカメラ", + "cameras_count_one": "{{count}} カメラ", + "cameras_count_other": "{{count}} カメラ" + }, + "empty": "まだメッセージは記録されていません", + "count_one": "{{count}} メッセージ", + "count_other": "{{count}} メッセージ", + "expanded": { + "payload": "ペイロード" } } }, diff --git a/web/public/locales/kn/audio.json b/web/public/locales/kn/audio.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/audio.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/common.json b/web/public/locales/kn/common.json new file mode 100644 index 0000000000..9b5e63fafd --- /dev/null +++ b/web/public/locales/kn/common.json @@ -0,0 +1,5 @@ +{ + "time": { + "untilForTime": "{{time}}ವರೆಗೆ" + } +} diff --git a/web/public/locales/kn/components/auth.json b/web/public/locales/kn/components/auth.json new file mode 100644 index 0000000000..6d4a2c27fe --- /dev/null +++ b/web/public/locales/kn/components/auth.json @@ -0,0 +1,5 @@ +{ + "form": { + "user": "ಬಳಕೆದಾರರಹೆಸರು" + } +} diff --git a/web/public/locales/kn/components/camera.json b/web/public/locales/kn/components/camera.json new file mode 100644 index 0000000000..71a4f6946b --- /dev/null +++ b/web/public/locales/kn/components/camera.json @@ -0,0 +1,5 @@ +{ + "group": { + "label": "ಕ್ಯಾಮೆರಾ ಗುಂಪು" + } +} diff --git a/web/public/locales/kn/components/dialog.json b/web/public/locales/kn/components/dialog.json new file mode 100644 index 0000000000..9fff19e814 --- /dev/null +++ b/web/public/locales/kn/components/dialog.json @@ -0,0 +1,5 @@ +{ + "restart": { + "title": "ನೀವು ಫ್ರಿಗೇಟನ್ನು ಖಂಡಿತವಗೆ ರೀಸ್ಟಾರ್ಟ್ ಮಾಡಬಯಸುತ್ತೀರಾ?" + } +} diff --git a/web/public/locales/kn/components/filter.json b/web/public/locales/kn/components/filter.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/components/filter.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/components/icons.json b/web/public/locales/kn/components/icons.json new file mode 100644 index 0000000000..c2c11d4eed --- /dev/null +++ b/web/public/locales/kn/components/icons.json @@ -0,0 +1,5 @@ +{ + "iconPicker": { + "selectIcon": "ಬಿಂಬವನ್ನು ಆಯ್ಕೆಮಾಡಿ" + } +} diff --git a/web/public/locales/kn/components/input.json b/web/public/locales/kn/components/input.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/components/input.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/components/player.json b/web/public/locales/kn/components/player.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/components/player.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/config/cameras.json b/web/public/locales/kn/config/cameras.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/config/cameras.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/config/global.json b/web/public/locales/kn/config/global.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/config/global.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/config/groups.json b/web/public/locales/kn/config/groups.json new file mode 100644 index 0000000000..70b11825c7 --- /dev/null +++ b/web/public/locales/kn/config/groups.json @@ -0,0 +1,7 @@ +{ + "audio": { + "global": { + "detection": "ಜಾಗತಿಕ ಪತ್ತೆದಾರಿ" + } + } +} diff --git a/web/public/locales/kn/config/validation.json b/web/public/locales/kn/config/validation.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/config/validation.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/objects.json b/web/public/locales/kn/objects.json new file mode 100644 index 0000000000..4eb1d32167 --- /dev/null +++ b/web/public/locales/kn/objects.json @@ -0,0 +1,3 @@ +{ + "person": "ವ್ಯಕ್ತಿ" +} diff --git a/web/public/locales/kn/views/chat.json b/web/public/locales/kn/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/classificationModel.json b/web/public/locales/kn/views/classificationModel.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/classificationModel.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/configEditor.json b/web/public/locales/kn/views/configEditor.json new file mode 100644 index 0000000000..04d0948db8 --- /dev/null +++ b/web/public/locales/kn/views/configEditor.json @@ -0,0 +1,3 @@ +{ + "documentTitle": "ಕಾನ್ಫಿಗ್ ಸಂಪಾದಕ - ಫ್ರಿಗೇಟ್" +} diff --git a/web/public/locales/kn/views/events.json b/web/public/locales/kn/views/events.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/events.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/explore.json b/web/public/locales/kn/views/explore.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/explore.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/exports.json b/web/public/locales/kn/views/exports.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/exports.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/faceLibrary.json b/web/public/locales/kn/views/faceLibrary.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/faceLibrary.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/live.json b/web/public/locales/kn/views/live.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/live.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/motionSearch.json b/web/public/locales/kn/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/recording.json b/web/public/locales/kn/views/recording.json new file mode 100644 index 0000000000..c0a9826aef --- /dev/null +++ b/web/public/locales/kn/views/recording.json @@ -0,0 +1,3 @@ +{ + "export": "ರಪ್ತು ಮಾಡು" +} diff --git a/web/public/locales/kn/views/replay.json b/web/public/locales/kn/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/search.json b/web/public/locales/kn/views/search.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/kn/views/search.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/kn/views/settings.json b/web/public/locales/kn/views/settings.json new file mode 100644 index 0000000000..99f0d31851 --- /dev/null +++ b/web/public/locales/kn/views/settings.json @@ -0,0 +1,5 @@ +{ + "documentTitle": { + "default": "ಸೆಟ್ಟಿಂಗ್‌ಗಳು - ಫ್ರಿಗೇಟ್" + } +} diff --git a/web/public/locales/kn/views/system.json b/web/public/locales/kn/views/system.json new file mode 100644 index 0000000000..c7bd532fee --- /dev/null +++ b/web/public/locales/kn/views/system.json @@ -0,0 +1,5 @@ +{ + "documentTitle": { + "cameras": "ಕ್ಯಾಮೆರಾ ಅಂಕಿಅಂಶಗಳು - ಫ್ರಿಗೇಟ್" + } +} diff --git a/web/public/locales/ko/common.json b/web/public/locales/ko/common.json index 80293f4f03..94f0b194ec 100644 --- a/web/public/locales/ko/common.json +++ b/web/public/locales/ko/common.json @@ -185,7 +185,8 @@ "classification": "분류", "chat": "채팅", "actions": "작업", - "profiles": "프로필" + "profiles": "프로필", + "features": "기능" }, "unit": { "speed": { diff --git a/web/public/locales/ko/components/camera.json b/web/public/locales/ko/components/camera.json index 67b1a2ee67..610fae4c85 100644 --- a/web/public/locales/ko/components/camera.json +++ b/web/public/locales/ko/components/camera.json @@ -81,6 +81,7 @@ "zones": "구역 (Zones)", "mask": "마스크", "motion": "움직임", - "regions": "영역 (Regions)" + "regions": "영역 (Regions)", + "paths": "경로" } } diff --git a/web/public/locales/ko/components/player.json b/web/public/locales/ko/components/player.json index 38ef7daacd..e6b1f0df06 100644 --- a/web/public/locales/ko/components/player.json +++ b/web/public/locales/ko/components/player.json @@ -1,7 +1,8 @@ { "submitFrigatePlus": { "submit": "제출", - "title": "이 프레임을 Frigate+에 제출하시겠습니까?" + "title": "이 프레임을 Frigate+에 제출하시겠습니까?", + "previewError": "스냅샷 미리보기를 불러올 수 없습니다. 현재 녹화된 영상을 사용할 수 없을 수 있습니다." }, "stats": { "bandwidth": { diff --git a/web/public/locales/ko/config/cameras.json b/web/public/locales/ko/config/cameras.json index 3f64349db6..2e5d533706 100644 --- a/web/public/locales/ko/config/cameras.json +++ b/web/public/locales/ko/config/cameras.json @@ -3,5 +3,61 @@ "name": { "label": "카메라 이름", "description": "카메라 이름은 필수 항목입니다" + }, + "friendly_name": { + "label": "별칭", + "description": "Frigate UI에서 사용되는 카메라 별칭" + }, + "enabled": { + "label": "활성화됨", + "description": "활성화됨" + }, + "audio": { + "label": "오디오 이벤트", + "description": "이 카메라의 오디오 기반 이벤트 감지 설정입니다.", + "enabled": { + "label": "오디오 감지 활성화", + "description": "이 카메라의 오디오 이벤트 감지를 활성화하거나 비활성화합니다." + }, + "max_not_heard": { + "label": "종료 타임아웃", + "description": "오디오 이벤트가 종료되기 전, 설정된 오디오 유형이 감지되지 않는 시간(초)입니다." + }, + "min_volume": { + "label": "최소 볼륨", + "description": "오디오 감지를 실행하는 데 필요한 최소 RMS 볼륨 임계값으로, 낮을수록 민감도가 높아집니다(예: 200 높음, 500 보통, 1000 낮음)." + }, + "listen": { + "label": "청취 유형", + "description": "감지할 오디오 이벤트 유형 목록입니다(예: bark, fire_alarm, scream, speech, yell)." + }, + "filters": { + "label": "오디오 필터", + "description": "오탐지를 줄이기 위해 사용되는 신뢰도 임계값과 같은 오디오 유형별 필터 설정입니다." + }, + "enabled_in_config": { + "label": "원래 오디오 상태" + } + }, + "mqtt": { + "label": "MQTT" + }, + "notifications": { + "label": "알림", + "enabled": { + "label": "알림 활성화" + }, + "email": { + "label": "알림 이메일", + "description": "푸시 알림에 사용되거나 특정 알림 제공업체에서 요구하는 이메일 주소입니다." + }, + "cooldown": { + "label": "알림 재발송 대기 시간", + "description": "수신자에게 스팸 메일을 보내는 것을 방지하기 위해 알림 재발송 대기시간(초)을 설정합니다." + }, + "enabled_in_config": { + "label": "초기 알림 활성 상태", + "description": "초기 구성에서 알림이 활성화되었는지 여부를 나타냅니다." + } } } diff --git a/web/public/locales/ko/config/global.json b/web/public/locales/ko/config/global.json index f2cdb1059b..95fa0b1a6d 100644 --- a/web/public/locales/ko/config/global.json +++ b/web/public/locales/ko/config/global.json @@ -4,6 +4,196 @@ "description": "마이그레이션 및 데이터 형식 변경 확인을 위한 현재 설정의 버전 정보(숫자 또는 문자열)입니다." }, "safe_mode": { - "label": "안전 모드" + "label": "안전 모드", + "description": "활성화하면 문제 해결을 위해 기능이 제한된 안전 모드로 Frigate를 시작합니다." + }, + "environment_vars": { + "label": "환경 변수", + "description": "Home Assistant OS에서 Frigate 프로세스에 설정할 환경 변수의 키/값 쌍입니다. HAOS가 아닌 사용자는 대신 Docker 환경 변수 설정을 사용해야 합니다." + }, + "logger": { + "label": "로깅", + "description": "기본 로그 상세 수준 및 구성 요소별 로그 수준 재정의를 제어합니다.", + "default": { + "label": "로그 수준", + "description": "기본 전역 로그 상세 수준(debug, info, warning, error)입니다." + }, + "logs": { + "label": "프로세스별 로그 수준", + "description": "특정 모듈의 상세 수준을 높이거나 낮추기 위한 구성 요소별 로그 수준 재정의입니다." + } + }, + "audio": { + "label": "오디오 이벤트", + "enabled": { + "label": "오디오 감지 활성화" + }, + "max_not_heard": { + "label": "종료 타임아웃", + "description": "오디오 이벤트가 종료되기 전, 설정된 오디오 유형이 감지되지 않는 시간(초)입니다." + }, + "min_volume": { + "label": "최소 볼륨", + "description": "오디오 감지를 실행하는 데 필요한 최소 RMS 볼륨 임계값으로, 낮을수록 민감도가 높아집니다(예: 200 높음, 500 보통, 1000 낮음)." + }, + "listen": { + "label": "청취 유형", + "description": "감지할 오디오 이벤트 유형 목록입니다(예: bark, fire_alarm, scream, speech, yell)." + }, + "filters": { + "label": "오디오 필터", + "description": "오탐지를 줄이기 위해 사용되는 신뢰도 임계값과 같은 오디오 유형별 필터 설정입니다." + }, + "enabled_in_config": { + "label": "원래 오디오 상태" + } + }, + "auth": { + "label": "인증", + "description": "쿠키 및 속도 제한 옵션을 포함한 인증 및 세션 관련 설정입니다.", + "enabled": { + "label": "인증 활성화", + "description": "Frigate UI에 대한 기본 인증을 활성화합니다." + }, + "reset_admin_password": { + "label": "관리자 비밀번호 재설정", + "description": "true로 설정하면 시작 시 관리자 비밀번호를 재설정하고 새 비밀번호를 로그에 출력합니다." + }, + "cookie_name": { + "label": "JWT 쿠키 이름", + "description": "자체 인증용 JWT 토큰을 저장할 쿠키 이름입니다." + }, + "cookie_secure": { + "label": "보안 쿠키 설정", + "description": "인증 쿠키에 보안 플래그를 설정합니다. TLS를 사용하는 경우 'True'로 설정해야 합니다." + }, + "session_length": { + "label": "세션 길이", + "description": "JWT 기반 세션의 유지 시간(초)입니다." + }, + "refresh_time": { + "label": "세션 갱신 주기", + "description": "세션 만료까지 남은 시간이 몇 초 남지 않을 경우, 세션 시간을 다시 최대로 연장합니다." + }, + "failed_login_rate_limit": { + "label": "로그인 실패 제한", + "description": "무차별 대입 공격을 줄이기 위해 로그인 시도 실패 횟수를 제한하는 규칙을 적용합니다." + }, + "trusted_proxies": { + "label": "신뢰할 수 있는 프록시", + "description": "속도 제한을 위해 클라이언트 IP를 결정할 때 사용되는 신뢰할 수 있는 프록시 IP 목록입니다." + }, + "hash_iterations": { + "label": "해시 반복 횟수", + "description": "사용자 암호를 해싱할 때 사용할 PBKDF2-SHA256 반복 횟수입니다." + }, + "roles": { + "label": "역할 할당", + "description": "역할별로 접근 가능한 카메라 목록을 매핑합니다. 목록이 비어 있으면 해당 역할에 모든 카메라 접근 권한을 부여합니다." + }, + "admin_first_time_login": { + "label": "관리자 초기 로그인 설정", + "description": "활성화 시, 관리자 비밀번호 초기화 후 로그인 방법 안내 링크가 로그인 페이지에 표시됩니다. " + } + }, + "database": { + "label": "데이터베이스", + "description": "추적된 객체 및 녹화 메타데이터를 저장하는 SQLite 데이터베이스 설정입니다.", + "path": { + "label": "데이터베이스 경로", + "description": "Frigate SQLite 데이터베이스 파일이 저장될 파일 시스템 경로입니다." + } + }, + "go2rtc": { + "label": "go2rtc", + "description": "라이브 스트림 중계 및 번역에 사용되는 통합 go2rtc 리스트리밍 서비스 설정입니다." + }, + "mqtt": { + "label": "MQTT", + "description": "MQTT 브로커에 원격 측정 데이터, 스냅샷 및 이벤트 세부 정보를 연결하고 게시하기 위한 설정입니다.", + "enabled": { + "label": "MQTT 활성화", + "description": "상태, 이벤트 및 스냅샷에 대한 MQTT 통합을 활성화 또는 비활성화합니다." + }, + "host": { + "label": "MQTT 호스트", + "description": "MQTT 브로커의 호스트 이름 또는 IP 주소입니다." + }, + "port": { + "label": "MQTT 포트", + "description": "MQTT 브로커의 포트 번호입니다 (일반적인 포트는 1883입니다)." + }, + "topic_prefix": { + "label": "토픽 접두사", + "description": "Frigate의 모든 MQTT 메시지에 사용할 접두사입니다. 여러 대의 Frigate를 실행하는 경우 각각 고유한 이름을 사용해야 합니다." + }, + "client_id": { + "label": "클라이언트 ID", + "description": "MQTT 브로커 연결 시 사용하는 클라이언트 식별자입니다. 인스턴스마다 고유한 이름을 사용해야 합니다." + }, + "stats_interval": { + "label": "통계 간격", + "description": "시스템 및 카메라 통계 정보를 MQTT로 전송하는 간격(초)입니다." + }, + "user": { + "label": "MQTT 사용자 이름", + "description": "MQTT 사용자 이름(선택 사항)입니다. 환경 변수나 비밀 값(Secrets)을 통해 입력할 수 있습니다." + }, + "password": { + "label": "MQTT 비밀번호", + "description": "MQTT 비밀번호(선택 사항)입니다. 환경 변수나 비밀 값(Secrets)을 통해 입력할 수 있습니다." + }, + "tls_ca_certs": { + "label": "TLS CA 인증서", + "description": "브로커와의 TLS 연결에 사용할 CA 인증서 경로(자체 서명 인증서의 경우)." + }, + "tls_client_cert": { + "label": "클라이언트 인증서", + "description": "TLS 상호 인증을 위한 클라이언트 인증서 경로입니다. 클라이언트 인증서를 사용할 때는 사용자 이름/암호를 설정하지 마십시오." + }, + "tls_client_key": { + "label": "클라이언트 키", + "description": "클라이언트 인증서의 개인 키 경로입니다." + }, + "tls_insecure": { + "label": "TLS 비보안 모드", + "description": "호스트 이름 확인을 건너뛰어 안전하지 않은 TLS 연결을 허용합니다(권장하지 않음)." + }, + "qos": { + "label": "MQTT QoS", + "description": "MQTT 메시지 전송 및 구독에 대한 서비스 품질(QoS) 등급입니다 (0, 1, 2 중 선택)." + } + }, + "notifications": { + "label": "알림", + "description": "모든 카메라에 대한 알림을 활성화하고 제어하는 설정입니다. 카메라별로 설정을 재정의할 수 있습니다.", + "enabled": { + "label": "알림 활성화", + "description": "모든 카메라에 대한 알림을 활성화 또는 비활성화할 수 있으며, 카메라별로 설정을 재정의할 수 있습니다." + }, + "email": { + "label": "알림 이메일", + "description": "푸시 알림에 사용되거나 특정 알림 제공업체에서 요구하는 이메일 주소입니다." + }, + "cooldown": { + "label": "알림 재발송 대기 시간", + "description": "수신자에게 스팸 메일을 보내는 것을 방지하기 위해 알림 재발송 대기시간(초)을 설정합니다." + }, + "enabled_in_config": { + "label": "초기 알림 활성 상태", + "description": "초기 구성에서 알림이 활성화되었는지 여부를 나타냅니다." + } + }, + "networking": { + "label": "네트워킹", + "description": "Frigate 엔드포인트에 대한 IPv6 활성화와 같은 네트워크 관련 설정입니다.", + "ipv6": { + "label": "IPv6 구성", + "description": "Frigate 네트워크 서비스에 대한 IPv6 관련 설정입니다.", + "enabled": { + "label": "IPv6 활성화", + "description": "Frigate 서비스(API 및 UI)에 IPv6 지원이 필요한 경우 활성화하십시오." + } + } } } diff --git a/web/public/locales/ko/config/groups.json b/web/public/locales/ko/config/groups.json index 78b422e831..4578c83cf7 100644 --- a/web/public/locales/ko/config/groups.json +++ b/web/public/locales/ko/config/groups.json @@ -5,7 +5,53 @@ "sensitivity": "전체 민감도" }, "cameras": { - "detection": "감지" + "detection": "감지", + "sensitivity": "민감도" + } + }, + "timestamp_style": { + "global": { + "appearance": "전역 외관" + }, + "cameras": { + "appearance": "외관" + } + }, + "motion": { + "global": { + "sensitivity": "전역 민감도", + "algorithm": "전역 알고리즘" + }, + "cameras": { + "sensitivity": "민감도", + "algorithm": "알고리즘" + } + }, + "snapshots": { + "global": { + "display": "전역 표시" + }, + "cameras": { + "display": "표시" + } + }, + "detect": { + "global": { + "resolution": "전역 해상도", + "tracking": "전역 추적" + }, + "cameras": { + "resolution": "해상도", + "tracking": "추적" + } + }, + "objects": { + "global": { + "tracking": "전역 추적", + "filtering": "전역 필터링" + }, + "cameras": { + "tracking": "추적" } } } diff --git a/web/public/locales/ko/views/chat.json b/web/public/locales/ko/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ko/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ko/views/classificationModel.json b/web/public/locales/ko/views/classificationModel.json index 227621f10c..832c3723f5 100644 --- a/web/public/locales/ko/views/classificationModel.json +++ b/web/public/locales/ko/views/classificationModel.json @@ -8,6 +8,28 @@ "button": { "deleteClassificationAttempts": "분류 이미지 삭제", "renameCategory": "클래스 이름 변경", - "deleteCategory": "클래스 삭제" + "deleteCategory": "클래스 삭제", + "deleteImages": "이미지 삭제", + "trainModel": "모델 훈련", + "addClassification": "분류 추가", + "deleteModels": "모델 삭제", + "editModel": "모델 편집" + }, + "tooltip": { + "trainingInProgress": "모델이 현재 학습 중입니다", + "noNewImages": "훈련할 새 이미지가 없습니다. 먼저 데이터셋에서 더 많은 이미지를 분류하세요.", + "noChanges": "마지막 훈련 이후 데이터셋에 변경 사항이 없습니다.", + "modelNotReady": "모델이 훈련 준비가 되지 않았습니다" + }, + "toast": { + "success": { + "deletedModel_other": "{{count}}개 모델을 성공적으로 삭제했습니다", + "categorizedImage": "이미지 분류 성공", + "reclassifiedImage": "이미지 재분류 성공", + "trainedModel": "모델 훈련 완료." + } + }, + "train": { + "titleShort": "최근" } } diff --git a/web/public/locales/ko/views/events.json b/web/public/locales/ko/views/events.json index 971494a814..3e357be850 100644 --- a/web/public/locales/ko/views/events.json +++ b/web/public/locales/ko/views/events.json @@ -9,9 +9,15 @@ "empty": { "alert": "다시 볼 '경보' 영상이 없습니다", "detection": "다시 볼 '대상 감지' 영상이 없습니다", - "motion": "움직임 감지 데이터가 없습니다" + "motion": "움직임 감지 데이터가 없습니다", + "recordingsDisabled": { + "title": "녹화가 활성화되어야 합니다", + "description": "다시 보기 항목은 해당 카메라에서 녹화가 활성화된 경우에만 카메라에 대해 생성할 수 있습니다." + } + }, + "timeline": { + "label": "타임라인" }, - "timeline": "타임라인", "timeline.aria": "타임라인 선택", "events": { "label": "이벤트", @@ -23,7 +29,8 @@ "aria": "상세 보기", "trackedObject_one": "추적 대상", "trackedObject_other": "추적 대상", - "noObjectDetailData": "상세 보기 데이터가 없습니다." + "noObjectDetailData": "상세 보기 데이터가 없습니다.", + "label": "세부 정보" }, "objectTrack": { "trackedPoint": "추적 포인트", @@ -47,5 +54,7 @@ "camera": "카메라", "detected": "감지됨", "suspiciousActivity": "수상한 행동", - "threateningActivity": "위협적인 행동" + "threateningActivity": "위협적인 행동", + "zoomIn": "확대", + "zoomOut": "축소" } diff --git a/web/public/locales/ko/views/explore.json b/web/public/locales/ko/views/explore.json index 513d90d84e..5b9c9d5872 100644 --- a/web/public/locales/ko/views/explore.json +++ b/web/public/locales/ko/views/explore.json @@ -22,10 +22,18 @@ "visionModelFeatureExtractor": "비전 모델 특징 추출기", "textModel": "Text model", "textTokenizer": "텍스트 토크나이저" - } + }, + "tips": { + "context": "모델이 다운로드된 후 추적 객체의 임베딩을 색인 재구성하는 것이 좋습니다." + }, + "error": "오류가 발생했습니다. Frigate 로그를 확인하세요." } }, "details": { "timestamp": "시간 기록" + }, + "trackedObjectDetails": "추적 객체 세부 정보", + "type": { + "details": "세부 정보" } } diff --git a/web/public/locales/ko/views/exports.json b/web/public/locales/ko/views/exports.json index 94b1a5ab78..588cdd800a 100644 --- a/web/public/locales/ko/views/exports.json +++ b/web/public/locales/ko/views/exports.json @@ -2,7 +2,9 @@ "documentTitle": "내보내기 - Frigate", "search": "검색", "noExports": "내보내기가 없습니다", - "deleteExport": "내보내기 삭제", + "deleteExport": { + "label": "내보내기 삭제" + }, "deleteExport.desc": "{{exportName}}을 지우시겠습니까?", "editExport": { "title": "내보내기 이름 변경", @@ -11,10 +13,24 @@ }, "toast": { "error": { - "renameExportFailed": "내보내기 이름 변경에 실패했습니다: {{errorMessage}}" + "renameExportFailed": "내보내기 이름 변경에 실패했습니다: {{errorMessage}}", + "assignCaseFailed": "케이스 할당 업데이트 실패: {{errorMessage}}" } }, "headings": { - "uncategorizedExports": "분류되지 않은 내보내기" + "uncategorizedExports": "분류되지 않은 내보내기", + "cases": "케이스" + }, + "tooltip": { + "shareExport": "내보내기 공유", + "downloadVideo": "동영상 다운로드", + "editName": "이름 편집", + "deleteExport": "내보내기 삭제", + "assignToCase": "케이스에 추가" + }, + "caseDialog": { + "title": "케이스에 추가", + "description": "기존 케이스를 선택하거나 새 케이스를 만드세요.", + "selectLabel": "케이스" } } diff --git a/web/public/locales/ko/views/faceLibrary.json b/web/public/locales/ko/views/faceLibrary.json index a04ac45cc5..a99cb3875d 100644 --- a/web/public/locales/ko/views/faceLibrary.json +++ b/web/public/locales/ko/views/faceLibrary.json @@ -16,22 +16,28 @@ "selectItem": "{{item}} 선택", "documentTitle": "얼굴 라이브러리 - Frigate", "uploadFaceImage": { - "title": "얼굴 사진 올리기" + "title": "얼굴 사진 올리기", + "desc": "얼굴을 스캔하고 {{pageToggle}}에 포함하기 위해 이미지를 업로드하세요" }, "collections": "모음집", "createFaceLibrary": { "title": "모음집 만들기", "desc": "새로운 모음집 만들기", - "new": "새 얼굴 만들기" + "new": "새 얼굴 만들기", + "nextSteps": "강력한 기반을 구축하려면:
  • 최근 인식 탭을 사용하여 감지된 각 사람의 이미지를 선택하고 학습하세요.
  • 최상의 결과를 위해 정면 이미지에 집중하고, 각도가 있는 얼굴이 촬영된 이미지는 학습에 사용하지 마세요.
    • " }, "steps": { "faceName": "얼굴 이름 입력", "uploadFace": "얼굴 사진 올리기", - "nextSteps": "다음 단계" + "nextSteps": "다음 단계", + "description": { + "uploadFace": "정면을 향한 {{name}}의 얼굴이 보이는 이미지를 업로드하세요. 이미지를 얼굴만 자를 필요는 없습니다." + } }, "train": { - "title": "학습", - "aria": "학습 선택" + "title": "최근 인식", + "aria": "최근 인식 선택", + "titleShort": "최근" }, "selectFace": "얼굴 선택", "deleteFaceLibrary": { diff --git a/web/public/locales/ko/views/live.json b/web/public/locales/ko/views/live.json index 5a825a08f5..c2b05d04ea 100644 --- a/web/public/locales/ko/views/live.json +++ b/web/public/locales/ko/views/live.json @@ -15,7 +15,8 @@ "clickMove": { "label": "클릭해서 카메라 중앙 배치", "enable": "클릭해서 움직이기 기능 활성화", - "disable": "클릭해서 움직이기 기능 비활성화" + "disable": "클릭해서 움직이기 기능 비활성화", + "enableWithZoom": "클릭하여 이동 / 드래그하여 확대 활성화" }, "left": { "label": "PTZ 카메라 왼쪽으로 이동" diff --git a/web/public/locales/ko/views/motionSearch.json b/web/public/locales/ko/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ko/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ko/views/replay.json b/web/public/locales/ko/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ko/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ko/views/search.json b/web/public/locales/ko/views/search.json index b898fb8265..efb5c93870 100644 --- a/web/public/locales/ko/views/search.json +++ b/web/public/locales/ko/views/search.json @@ -5,7 +5,24 @@ "clear": "검색 초기화", "save": "검색 저장", "filterInformation": "필터 정보", - "delete": "저장된 검색 삭제" + "delete": "저장된 검색 삭제", + "filterActive": "필터 활성화됨" }, - "searchFor": "{{inputValue}} 검색" + "searchFor": "{{inputValue}} 검색", + "trackedObjectId": "추적 객체 ID", + "filter": { + "label": { + "cameras": "카메라", + "labels": "레이블", + "zones": "구역", + "sub_labels": "하위 레이블", + "attributes": "속성", + "search_type": "검색 유형", + "time_range": "시간 범위", + "before": "이전", + "after": "이후", + "min_score": "최소 점수", + "max_score": "최대 점수" + } + } } diff --git a/web/public/locales/ko/views/settings.json b/web/public/locales/ko/views/settings.json index c17eaa7fd5..220cceb8f2 100644 --- a/web/public/locales/ko/views/settings.json +++ b/web/public/locales/ko/views/settings.json @@ -29,14 +29,15 @@ "masksAndZones": "마스크와 구역 편집기 - Frigate", "motionTuner": "움직임 감지 조정 - Frigate", "object": "디버그 - Frigate", - "general": "프로필 설정 - Frigate", + "general": "UI 설정 - Frigate", "frigatePlus": "Frigate+ 설정 - Frigate", "notifications": "알림 설정 - Frigate", "cameraManagement": "카메라 관리 - Frigate", "cameraReview": "카메라 다시보기 설정 - Frigate", "globalConfig": "전체 설정 - Frigate", "cameraConfig": "카메라 설정 - Frigate", - "maintenance": "유지 관리 - Frigate" + "maintenance": "유지 관리 - Frigate", + "profiles": "프로필 - Frigate" }, "users": { "table": { @@ -219,5 +220,11 @@ "label": "새 값", "reset": "초기화" } + }, + "button": { + "overriddenGlobal": "전역 재정의됨", + "overriddenGlobalTooltip": "이 카메라는 이 섹션의 전역 설정을 재정의합니다", + "overriddenBaseConfig": "기본 설정 재정의됨", + "overriddenBaseConfigTooltip": "{{profile}} 프로필은 이 섹션의 구성 설정을 재정의합니다" } } diff --git a/web/public/locales/lt/views/chat.json b/web/public/locales/lt/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/lt/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/lt/views/motionSearch.json b/web/public/locales/lt/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/lt/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/lt/views/replay.json b/web/public/locales/lt/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/lt/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/lv/views/chat.json b/web/public/locales/lv/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/lv/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/lv/views/motionSearch.json b/web/public/locales/lv/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/lv/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/lv/views/replay.json b/web/public/locales/lv/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/lv/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ml/views/chat.json b/web/public/locales/ml/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ml/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ml/views/motionSearch.json b/web/public/locales/ml/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ml/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ml/views/replay.json b/web/public/locales/ml/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ml/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/nb-NO/common.json b/web/public/locales/nb-NO/common.json index 921ddc77b3..00fb832e3f 100644 --- a/web/public/locales/nb-NO/common.json +++ b/web/public/locales/nb-NO/common.json @@ -171,7 +171,7 @@ "configuration": "Konfigurasjon", "systemLogs": "Systemlogger", "settings": "Innstillinger", - "configurationEditor": "Rediger konfigurasjonen", + "configurationEditor": "Rediger konfigurasjonsfil", "languages": "Språk", "language": { "en": "English (Engelsk)", @@ -216,7 +216,8 @@ "gl": "Galego (Galisisk)", "id": "Bahasa Indonesia (Indonesisk)", "ur": "اردو (Urdu)", - "hr": "Hrvatski (Kroatisk)" + "hr": "Hrvatski (Kroatisk)", + "bs": "Bosanski (Bosnisk)" }, "appearance": "Utseende", "darkMode": { @@ -241,7 +242,8 @@ "classification": "Klassifisering", "profiles": "Profiler", "chat": "Chat", - "actions": "Handlinger" + "actions": "Handlinger", + "features": "Funksjoner" }, "pagination": { "next": { diff --git a/web/public/locales/nb-NO/components/dialog.json b/web/public/locales/nb-NO/components/dialog.json index 6f38ca4242..ebe531b4c4 100644 --- a/web/public/locales/nb-NO/components/dialog.json +++ b/web/public/locales/nb-NO/components/dialog.json @@ -59,15 +59,26 @@ "toast": { "success": "Eksport startet. Se filen på eksportsiden.", "error": { - "failed": "Klarte ikke å starte eksport: {{error}}", + "failed": "Kunne ikke legge eksport i kø: {{error}}", "noVaildTimeSelected": "Ingen gyldig tidsperiode valgt", "endTimeMustAfterStartTime": "Sluttid må være etter starttid" }, - "view": "Vis" + "view": "Vis", + "queued": "Eksport lagt i kø. Se fremdrift på eksportsiden.", + "batchPartial": "Startet {{successful}} av {{total}} eksporter. Kameraer som feilet: {{failedCameras}}", + "batchFailed": "Kunne ikke starte {{total}} eksporter. Kameraer som feilet: {{failedCameras}}", + "batchQueuedPartial": "La {{successful}} av {{total}} eksporter i kø. Kameraer som feilet: {{failedCameras}}", + "batchQueueFailed": "Kunne ikke legge {{total}} eksporter i kø. Kameraer som feilet: {{failedCameras}}", + "batchSuccess_one": "Startet 1 eksport. Åpner saken nå.", + "batchSuccess_other": "Startet {{count}} eksporter. Åpner saken nå.", + "batchQueuedSuccess_one": "La 1 eksport i kø. Åpner saken nå.", + "batchQueuedSuccess_other": "La {{count}} eksporter i kø. Åpner saken nå." }, "fromTimeline": { "previewExport": "Forhåndsvis eksport", - "saveExport": "Lagre eksport" + "saveExport": "Lagre eksport", + "queueingExport": "Legger eksport i kø...", + "useThisRange": "Bruk dette tidsrommet" }, "name": { "placeholder": "Gi eksporten et navn" @@ -77,7 +88,49 @@ "selectOrExport": "Velg eller eksporter", "case": { "label": "Sak", - "placeholder": "Velg en sak" + "placeholder": "Velg en sak", + "newCaseOption": "Opprett ny sak", + "newCaseNamePlaceholder": "Navn på ny sak", + "newCaseDescriptionPlaceholder": "Saksbeskrivelse", + "nonAdminHelp": "En ny sak vil bli opprettet for disse eksportene." + }, + "queueing": "Legger eksport i kø...", + "tabs": { + "export": "Enkeltkamera", + "multiCamera": "Multikamera" + }, + "multiCamera": { + "timeRange": "Tidsrom", + "selectFromTimeline": "Velg fra tidslinje", + "cameraSelection": "Kameraer", + "cameraSelectionHelp": "Kameraer med sporede objekter i dette tidsrommet er forhåndsvalgt", + "checkingActivity": "Sjekker kameraaktivitet...", + "noCameras": "Ingen kameraer tilgjengelig", + "nameLabel": "Eksportnavn", + "namePlaceholder": "Valgfritt navneprefiks for disse eksportene", + "queueingButton": "Legger eksporter i kø...", + "detectionCount_one": "1 sporet objekt", + "detectionCount_other": "{{count}} sporede objekter", + "exportButton_one": "Eksporter 1 kamera", + "exportButton_other": "Eksporter {{count}} kameraer" + }, + "multi": { + "description": "Eksporter hver valgte inspeksjon. Alle eksporter vil bli gruppert under én sak.", + "descriptionNoCase": "Eksporter hver valgte inspeksjon.", + "caseNamePlaceholder": "Eksport av inspeksjon - {{date}}", + "exportingButton": "Eksporterer...", + "toast": { + "partial": "Startet {{successful}} av {{total}} eksporter. Feilet: {{failedItems}}", + "failed": "Kunne ikke starte {{total}} eksporter. Feilet: {{failedItems}}", + "started_one": "Startet 1 eksport. Åpner saken nå.", + "started_other": "Startet {{count}} eksporter. Åpner saken nå.", + "startedNoCase_one": "Startet 1 eksport.", + "startedNoCase_other": "Startet {{count}} eksporter." + }, + "title_one": "Eksporter 1 inspeksjon", + "title_other": "Eksporter {{count}} inspeksjon", + "exportButton_one": "Eksporter 1 inspeksjon", + "exportButton_other": "Eksporter {{count}} inspeksjon" } }, "streaming": { @@ -125,6 +178,14 @@ "markAsReviewed": "Merk som inspisert", "deleteNow": "Slett nå", "markAsUnreviewed": "Merk som ikke inspisert" + }, + "shareTimestamp": { + "description": "Del en tidsstemplet URL fra avspillerens nåværende posisjon, eller velg et egendefinert tidsstempel. Merk at dette ikke er en offentlig delingslenke, og at den kun er tilgjengelig for brukere med tilgang til Frigate og dette kameraet.", + "custom": "Egendefinert tidsstempel", + "title": "Del tidsstempel", + "label": "Del tidsstempel", + "button": "Del URL med tidsstempel", + "shareTitle": "Tidsstempel for Frigate-inspeksjon: {{camera}}" } }, "imagePicker": { diff --git a/web/public/locales/nb-NO/components/player.json b/web/public/locales/nb-NO/components/player.json index b08459cfcf..56fe61e9ab 100644 --- a/web/public/locales/nb-NO/components/player.json +++ b/web/public/locales/nb-NO/components/player.json @@ -32,7 +32,8 @@ "noPreviewFoundFor": "Ingen forhåndsvisning funnet for {{cameraName}}", "submitFrigatePlus": { "title": "Send dette bildet til Frigate+?", - "submit": "Send" + "submit": "Send", + "previewError": "Kunne ikke laste forhåndsvisning av stillbilde. Opptaket er kanskje ikke tilgjengelig for øyeblikket." }, "livePlayerRequiredIOSVersion": "iOS 17.1 eller høyere kreves for denne typen direkte-strømming.", "streamOffline": { diff --git a/web/public/locales/nb-NO/config/cameras.json b/web/public/locales/nb-NO/config/cameras.json index ef94b6f352..ce68cfc445 100644 --- a/web/public/locales/nb-NO/config/cameras.json +++ b/web/public/locales/nb-NO/config/cameras.json @@ -52,7 +52,7 @@ "description": "Innstillinger for å aktivere og kontrollere varslinger for dette kameraet." }, "audio": { - "label": "Lydhendelser", + "label": "Lyddeteksjon", "enabled": { "label": "Aktiver lyddeteksjon", "description": "Aktiver eller deaktiver deteksjon av lydhendelser for dette kameraet." @@ -71,7 +71,11 @@ }, "filters": { "label": "Lydfiltre", - "description": "Filterinnstillinger per lydtype, som konfidensterskler for å redusere falske positive." + "description": "Filterinnstillinger per lydtype, som konfidensterskler for å redusere falske positive.", + "threshold": { + "description": "Minimum konfidens-terskel for at lydhendelsen skal bli registrert.", + "label": "Minimum konfidens for lyd" + } }, "enabled_in_config": { "label": "Opprinnelig lydstatus", @@ -476,6 +480,10 @@ "hwaccel_args": { "label": "Argumenter for maskinvareakselerasjon ved eksport", "description": "Argumenter for maskinvareakselerasjon som skal brukes ved eksport og transkoding." + }, + "max_concurrent": { + "description": "Maksimalt antall eksportjobber som kan behandles samtidig.", + "label": "Maksimalt antall samtidige eksporter" } }, "preview": { @@ -840,7 +848,7 @@ "label": "Opprinnelig kamerastatus" }, "friendly_name": { - "description": "Kamerats visningsnavn i Frigate-grensesnittet", + "description": "Kameraets visningsnavn i Frigate-grensesnittet", "label": "Visningsnavn" }, "label": "Kamerakonfigurasjon", diff --git a/web/public/locales/nb-NO/config/global.json b/web/public/locales/nb-NO/config/global.json index d123063200..11f2fbcdbf 100644 --- a/web/public/locales/nb-NO/config/global.json +++ b/web/public/locales/nb-NO/config/global.json @@ -5,7 +5,7 @@ }, "safe_mode": { "label": "Trygg modus", - "description": "Når aktivert, start Frigate i trygg modus med reduserte funksjoner for feilsøking." + "description": "Når aktivert, start Frigate i trygg modus med redusert funksjonalitet for feilsøking." }, "environment_vars": { "label": "Miljøvariabler", @@ -15,7 +15,7 @@ "label": "Logging", "description": "Kontrollerer standard loggdetaljnivå og overstyringer av loggnivå per komponent.", "default": { - "label": "Loggnivå", + "label": "Loggenivå", "description": "Standard globale loggedetaljer (debug, info, warning, error)." }, "logs": { @@ -242,7 +242,7 @@ "description": "Aktiver overvåking av nettverksbåndbredde per prosess for kamera-ffmpeg-prosesser og detektorer." }, "intel_gpu_device": { - "label": "SR-IOV-enhet", + "label": "Intel GPU-enhet", "description": "Enhetsidentifikator som brukes når Intel-GPU-er behandles som SR-IOV for å korrigere GPU-statistikk." } }, @@ -527,7 +527,7 @@ }, "roles": { "label": "Roller", - "description": "GenAI-roller (verktøy, bildeforståelse/syn, vektorrepresentasjoner); én leverandør per rolle." + "description": "GenAI-roller (chat, beskrivelser, vektorrepresentasjoner); én leverandør per rolle." }, "provider_options": { "label": "Leverandøralternativer", @@ -539,7 +539,7 @@ } }, "audio": { - "label": "Lydhendelser", + "label": "Lyddeteksjon", "description": "Innstillinger for lydbasert hendelsesdeteksjon for alle kameraer; kan overstyres per kamera.", "enabled": { "label": "Aktiver lyddeteksjon", @@ -559,7 +559,11 @@ }, "filters": { "label": "Lydfiltre", - "description": "Filterinnstillinger per lydtype, som konfidensterskler for å redusere falske positive." + "description": "Filterinnstillinger per lydtype, som konfidensterskler for å redusere falske positive.", + "threshold": { + "description": "Minimum konfidens-terskel for at lydhendelsen skal bli registrert.", + "label": "Minimum konfidens for lyd" + } }, "enabled_in_config": { "label": "Opprinnelig lydstatus", @@ -1000,6 +1004,10 @@ "hwaccel_args": { "label": "Argumenter for maskinvareakselerasjon ved eksport", "description": "Argumenter for maskinvareakselerasjon som skal brukes ved eksport og transkoding." + }, + "max_concurrent": { + "description": "Maksimalt antall eksportjobber som kan behandles samtidig.", + "label": "Maksimalt antall samtidige eksporter" } }, "preview": { diff --git a/web/public/locales/nb-NO/objects.json b/web/public/locales/nb-NO/objects.json index eb4b3ee36d..ab352714fc 100644 --- a/web/public/locales/nb-NO/objects.json +++ b/web/public/locales/nb-NO/objects.json @@ -121,5 +121,10 @@ "skunk": "Skunk", "school_bus": "Skolebuss", "royal_mail": "Royal Mail", - "canada_post": "Canada Post" + "canada_post": "Canada Post", + "baby_stroller": "Barnevogn", + "Rodent": "Gnager", + "baby": "Baby", + "rickshaw": "Rickshaw", + "rodent": "Gnager" } diff --git a/web/public/locales/nb-NO/views/chat.json b/web/public/locales/nb-NO/views/chat.json new file mode 100644 index 0000000000..a788c3635b --- /dev/null +++ b/web/public/locales/nb-NO/views/chat.json @@ -0,0 +1,64 @@ +{ + "documentTitle": "Chat - Frigate", + "title": "Frigate Chat", + "subtitle": "Din AI-assistent for kamerahåndtering og innsikt", + "placeholder": "Spør om hva som helst...", + "error": "Noe gikk galt. Vennligst prøv igjen.", + "processing": "Behandler...", + "toolsUsed": "Brukt: {{tools}}", + "showTools": "Vis verktøy ({{count}})", + "hideTools": "Skjul verktøy", + "call": "Kall", + "result": "Resultat", + "arguments": "Argumenter:", + "response": "Svar:", + "attachment_chip_label": "{{label}} på {{camera}}", + "attachment_chip_remove": "Fjern vedlegg", + "open_in_explore": "Åpne i Utforsk", + "attach_event_aria": "Legg ved hendelse {{eventId}}", + "attachment_picker_paste_label": "Eller lim inn hendelses-ID", + "attachment_picker_attach": "Legg ved", + "attachment_picker_placeholder": "Legg ved en hendelse", + "quick_reply_find_similar": "Finn lignende observasjoner", + "quick_reply_tell_me_more": "Fortell meg mer om dette", + "quick_reply_when_else": "Når ellers ble det sett?", + "quick_reply_find_similar_text": "Finn lignende observasjoner som denne.", + "quick_reply_tell_me_more_text": "Fortell meg mer om denne.", + "quick_reply_when_else_text": "Når ellers ble denne sett?", + "anchor": "Referanse", + "similarity_score": "Likhet", + "no_similar_objects_found": "Ingen lignende objekter funnet.", + "semantic_search_required": "Semantisk søk må være aktivert for å finne lignende objekter.", + "send": "Send", + "suggested_requests": "Prøv å spørre:", + "starting_requests": { + "show_recent_events": "Vis nylige hendelser", + "show_camera_status": "Vis kamerastatus", + "recap": "Hva skjedde mens jeg var borte?", + "watch_camera": "Overvåk et kamera for aktivitet" + }, + "starting_requests_prompts": { + "show_recent_events": "Vis meg nylige hendelser fra den siste timen", + "show_camera_status": "Hva er status for kameraene mine akkurat nå?", + "recap": "Hva skjedde mens jeg var borte?", + "watch_camera": "Overvåk inngangsdøren og gi meg beskjed hvis noen dukker opp" + }, + "new_chat": "Ny chat", + "settings": { + "title": "Chat-innstillinger", + "show_stats": { + "title": "Vis statistikk", + "desc": "Vis genereringshastighet og kontekststørrelse for chat-svar.", + "while_generating": "Under generering", + "always": "Alltid" + }, + "auto_scroll": { + "title": "Auto-rulling", + "desc": "Følg nye meldinger etter hvert som de ankommer." + } + }, + "stats": { + "context": "{{tokens}} tokens", + "tokens_per_second": "{{rate}} t/s" + } +} diff --git a/web/public/locales/nb-NO/views/configEditor.json b/web/public/locales/nb-NO/views/configEditor.json index df0cd00a9a..2aa6fade07 100644 --- a/web/public/locales/nb-NO/views/configEditor.json +++ b/web/public/locales/nb-NO/views/configEditor.json @@ -1,5 +1,5 @@ { - "documentTitle": "Konfigurasjonseditor - Frigate", + "documentTitle": "Konfigurasjonsfil - Frigate", "toast": { "error": { "savingError": "Feil ved lagring av konfigurasjon" @@ -8,11 +8,11 @@ "copyToClipboard": "Konfigurasjonen ble kopiert til utklippstavlen." } }, - "configEditor": "Konfig-editor", + "configEditor": "Konfigurasjonsfil", "copyConfig": "Kopier konfigurasjonen", "saveAndRestart": "Lagre og omstart", "saveOnly": "Kun lagre", "confirm": "Avslutt uten å lagre?", - "safeConfigEditor": "Konfig-editor (Sikker modus)", + "safeConfigEditor": "Konfigurasjonsfil (Sikker modus)", "safeModeDescription": "Frigate er i sikker modus grunnet en feil i validering av konfigurasjonen." } diff --git a/web/public/locales/nb-NO/views/events.json b/web/public/locales/nb-NO/views/events.json index d1c3b02de5..4a46f3f973 100644 --- a/web/public/locales/nb-NO/views/events.json +++ b/web/public/locales/nb-NO/views/events.json @@ -31,7 +31,9 @@ "timeline.aria": "Velg tidslinje", "documentTitle": "Inspeksjon - Frigate", "recordings": { - "documentTitle": "Opptak - Frigate" + "documentTitle": "Opptak - Frigate", + "invalidSharedLink": "Kunne ikke åpne tidsstemplet opptakslenke på grunn av tolkningsfeil.", + "invalidSharedCamera": "Kunne ikke åpne tidsstemplet opptakslenke på grunn av et ukjent eller uautorisert kamera." }, "calendarFilter": { "last24Hours": "Siste 24 timer" @@ -39,7 +41,7 @@ "markAsReviewed": "Merk som inspisert", "markTheseItemsAsReviewed": "Merk disse elementene som inspiserte", "selected_one": "{{count}} valgt", - "selected_other": "{{count}} valgt", + "selected_other": "{{count}} valgte", "detected": "detektert", "suspiciousActivity": "Mistenkelig aktivitet", "threateningActivity": "Truende aktivitet", diff --git a/web/public/locales/nb-NO/views/explore.json b/web/public/locales/nb-NO/views/explore.json index 6aac95d76e..1e3b485bfe 100644 --- a/web/public/locales/nb-NO/views/explore.json +++ b/web/public/locales/nb-NO/views/explore.json @@ -287,7 +287,10 @@ "zones": "Soner", "ratio": "Sideforhold", "area": "Område", - "score": "Score" + "score": "Score", + "computedScore": "Beregnet score", + "topScore": "Toppscore", + "toggleAdvancedScores": "Vis/skjul avanserte scoringer" } }, "annotationSettings": { diff --git a/web/public/locales/nb-NO/views/exports.json b/web/public/locales/nb-NO/views/exports.json index 481750f5c3..d455fd8c5c 100644 --- a/web/public/locales/nb-NO/views/exports.json +++ b/web/public/locales/nb-NO/views/exports.json @@ -14,7 +14,9 @@ "toast": { "error": { "renameExportFailed": "Kunne ikke gi nytt navn til eksport: {{errorMessage}}", - "assignCaseFailed": "Kunne ikke oppdatere sakstilknytning: {{errorMessage}}" + "assignCaseFailed": "Kunne ikke oppdatere sakstilknytning: {{errorMessage}}", + "caseSaveFailed": "Kunne ikke lagre sak: {{errorMessage}}", + "caseDeleteFailed": "Kunne ikke slette sak: {{errorMessage}}" } }, "tooltip": { @@ -22,7 +24,8 @@ "downloadVideo": "Last ned video", "editName": "Rediger navn", "deleteExport": "Slett eksport", - "assignToCase": "Legg til i sak" + "assignToCase": "Legg til i sak", + "removeFromCase": "Fjern fra sak" }, "caseDialog": { "nameLabel": "Saksnavn", @@ -35,5 +38,91 @@ "headings": { "cases": "Saker", "uncategorizedExports": "Eksporter uten sak" + }, + "toolbar": { + "newCase": "Ny sak", + "addExport": "Legg til eksport", + "editCase": "Rediger sak", + "deleteCase": "Slett sak" + }, + "deleteCase": { + "label": "Slett sak", + "desc": "Er du sikker på at du vil slette {{caseName}}?", + "descKeepExports": "Eksporter vil fortsatt være tilgjengelige som eksporter uten sak.", + "descDeleteExports": "Alle eksporter i denne saken vil bli slettet permanent.", + "deleteExports": "Slett også eksporter" + }, + "caseCard": { + "emptyCase": "Ingen eksporter ennå" + }, + "jobCard": { + "defaultName": "{{camera}}-eksport", + "queued": "Lagt i kø", + "running": "Kjører", + "preparing": "Forbereder", + "copying": "Kopierer", + "encoding": "Enkoder", + "encodingRetry": "Enkoder (nytt forsøk)", + "finalizing": "Fullfører" + }, + "caseView": { + "noDescription": "Ingen beskrivelse", + "createdAt": "Opprettet {{value}}", + "exportCount_one": "1 eksport", + "exportCount_other": "{{count}} eksporter", + "cameraCount_one": "1 kamera", + "cameraCount_other": "{{count}} kameraer", + "showMore": "Vis mer", + "showLess": "Vis mindre", + "emptyTitle": "Denne saken er tom", + "emptyDescription": "Legg til eksisterende eksporter uten sak for å holde orden i saken.", + "emptyDescriptionNoExports": "Det er ingen ledige eksporter tilgjengelig for å legges til ennå." + }, + "caseEditor": { + "createTitle": "Opprett sak", + "editTitle": "Rediger sak", + "namePlaceholder": "Saksnavn", + "descriptionPlaceholder": "Legg til notater eller kontekst for denne saken" + }, + "addExportDialog": { + "title": "Legg til eksport i {{caseName}}", + "searchPlaceholder": "Søk i eksporter uten sak", + "empty": "Ingen eksporter uten sak samsvarer med søket.", + "addButton_one": "Legg til 1 eksport", + "addButton_other": "Legg til {{count}} eksporter", + "adding": "Legger til..." + }, + "selected_one": "{{count}} valgt", + "selected_other": "{{count}} valgte", + "bulkActions": { + "addToCase": "Legg til i sak", + "moveToCase": "Flytt til sak", + "removeFromCase": "Fjern fra sak", + "delete": "Slett", + "deleteNow": "Slett nå" + }, + "bulkDelete": { + "title": "Slett eksporter", + "desc_one": "Er du sikker på at du vil slette {{count}} eksport?", + "desc_other": "Er du sikker på at du vil slette {{count}} eksporter?" + }, + "bulkRemoveFromCase": { + "title": "Fjern fra sak", + "desc_one": "Fjerne {{count}} eksport fra denne saken?", + "desc_other": "Fjerne {{count}} eksporter fra denne saken?", + "descKeepExports": "Eksporter vil bli flyttet til \"uten sak\".", + "descDeleteExports": "Eksporter vil bli slettet permanent.", + "deleteExports": "Slett eksporter i stedet" + }, + "bulkToast": { + "success": { + "delete": "Eksporter ble slettet", + "reassign": "Sakstilknytning ble oppdatert", + "remove": "Eksporter ble fjernet fra saken" + }, + "error": { + "deleteFailed": "Kunne ikke slette eksporter: {{errorMessage}}", + "reassignFailed": "Kunne ikke oppdatere sakstilknytning: {{errorMessage}}" + } } } diff --git a/web/public/locales/nb-NO/views/faceLibrary.json b/web/public/locales/nb-NO/views/faceLibrary.json index cf8d81e394..4ea7e819ff 100644 --- a/web/public/locales/nb-NO/views/faceLibrary.json +++ b/web/public/locales/nb-NO/views/faceLibrary.json @@ -27,7 +27,11 @@ "aria": "Velg nylige gjenkjennelser", "title": "Nylige gjenkjennelser", "empty": "Det er ingen nylige forsøk på ansiktsgjenkjenning", - "titleShort": "Nylige" + "titleShort": "Nylige", + "emptyNoLibrary": { + "description": "Du må legge til minst ett ansikt i biblioteket for at ansiktsgjenkjenning skal fungere.", + "title": "Last opp et ansikt" + } }, "selectFace": "Velg ansikt", "deleteFaceLibrary": { diff --git a/web/public/locales/nb-NO/views/live.json b/web/public/locales/nb-NO/views/live.json index be891769e2..da219820f5 100644 --- a/web/public/locales/nb-NO/views/live.json +++ b/web/public/locales/nb-NO/views/live.json @@ -152,7 +152,8 @@ }, "recording": { "enable": "Aktiver opptak", - "disable": "Deaktiver opptak" + "disable": "Deaktiver opptak", + "disabledInConfig": "Opptak må først aktiveres i Innstillinger for dette kameraet." }, "streamStats": { "enable": "Vis Strømmestatistikk", diff --git a/web/public/locales/nb-NO/views/motionSearch.json b/web/public/locales/nb-NO/views/motionSearch.json new file mode 100644 index 0000000000..c8fdb7c873 --- /dev/null +++ b/web/public/locales/nb-NO/views/motionSearch.json @@ -0,0 +1,75 @@ +{ + "documentTitle": "Bevegelsessøk - Frigate", + "title": "Bevegelsessøk", + "description": "Tegn et polygon for å definere et interesseområde, og angi et tidsrom for å søke etter bevegelsesendringer i dette området.", + "selectCamera": "Bevegelsessøk laster", + "startSearch": "Start søk", + "searchStarted": "Søk startet", + "searchCancelled": "Søk avbrutt", + "cancelSearch": "Avbryt", + "searching": "Søk pågår...", + "searchComplete": "Søk fullført", + "noResultsYet": "Kjør et søk for å finne bevegelsesendringer i det valgte området", + "noChangesFound": "Ingen pikselendringer ble funnet i det valgte området", + "changesFound_one": "Fant {{count}} bevegelsesendring", + "changesFound_other": "Fant {{count}} bevegelsesendringer", + "framesProcessed": "{{count}} bilder behandlet", + "jumpToTime": "Gå til dette tidspunktet", + "results": "Resultater", + "showSegmentHeatmap": "Varmekart", + "newSearch": "Nytt søk", + "clearResults": "Tøm resultater", + "clearROI": "Slett polygon", + "polygonControls": { + "points_one": "{{count}} punkt", + "points_other": "{{count}} punkter", + "undo": "Angre siste punkt", + "reset": "Tilbakestill polygon" + }, + "motionHeatmapLabel": "Varmekart for bevegelse", + "dialog": { + "title": "Bevegelsessøk", + "cameraLabel": "Kamera", + "previewAlt": "Forhåndsvisning av kamera for {{camera}}" + }, + "timeRange": { + "title": "Søkeperiode", + "start": "Starttid", + "end": "Sluttid" + }, + "settings": { + "title": "Søkeinnstillinger", + "parallelMode": "Parallellmodus", + "parallelModeDesc": "Skann flere opptakssegmenter samtidig (raskere, men betydelig mer CPU-intensivt)", + "threshold": "Følsomhetsterskel", + "thresholdDesc": "Lavere verdier detekterer mindre endringer (1–255)", + "minArea": "Minimum endringsområde", + "minAreaDesc": "Minimum prosentandel av interesseområdet som må endres for å anses som betydelig", + "frameSkip": "Bilde-sprang", + "frameSkipDesc": "Behandle hvert N-te bilde. Sett denne til kameraets bildefrekvens for å behandle ett bilde i sekundet (f.eks. 5 for et 5 FPS-kamera, 30 for et 30 FPS-kamera). Høyere verdier vil være raskere, men kan gå glipp av korte bevegelseshendelser.", + "maxResults": "Maksimalt antall resultater", + "maxResultsDesc": "Stopp etter dette antallet samsvarende tidsstempler" + }, + "errors": { + "noCamera": "Vennligst velg et kamera", + "noROI": "Vennligst tegn et interesseområde", + "noTimeRange": "Vennligst velg en tidsperiode", + "invalidTimeRange": "Sluttid må være etter starttid", + "searchFailed": "Søk mislyktes: {{message}}", + "polygonTooSmall": "Polygonet må ha minst 3 punkter", + "unknown": "Ukjent feil" + }, + "changePercentage": "{{percentage}} % endret", + "metrics": { + "title": "Statistikk for søk", + "segmentsScanned": "Segmenter skannet", + "segmentsProcessed": "Behandlet", + "segmentsSkippedInactive": "Hoppet over (ingen aktivitet)", + "segmentsSkippedHeatmap": "Hoppet over (manglende ROI-overlapp)", + "fallbackFullRange": "Fullskanning som reserve", + "framesDecoded": "Bilder dekodet", + "wallTime": "Søketid", + "segmentErrors": "Segmentfeil", + "seconds": "{{seconds}}s" + } +} diff --git a/web/public/locales/nb-NO/views/replay.json b/web/public/locales/nb-NO/views/replay.json new file mode 100644 index 0000000000..3cf72e2011 --- /dev/null +++ b/web/public/locales/nb-NO/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "Feilsøkingsavspilling", + "description": "Spill av kameraopptak for feilsøking. Objektlisten viser et tidsforsinket sammendrag av detekterte objekter, og fanen Meldinger viser en strøm av Frigates interne meldinger fra avspillingen.", + "websocket_messages": "Meldinger", + "dialog": { + "title": "Start feilsøkingsavspilling", + "description": "Opprett et midlertidig avspillingskamera som repeterer historisk materiale for å feilsøke problemer med objektdeteksjon og sporing. Avspillingskameraet vil ha samme deteksjonskonfigurasjon som kildekameraet. Velg et tidsrom for å begynne.", + "camera": "Kildekamera", + "timeRange": "Tidsrom", + "preset": { + "1m": "Siste minutt", + "5m": "Siste 5 minutter", + "timeline": "Fra tidslinje", + "custom": "Egendefinert" + }, + "startButton": "Start avspilling", + "selectFromTimeline": "Velg", + "starting": "Starter avspilling...", + "startLabel": "Start", + "endLabel": "Slutt", + "toast": { + "error": "Kunne ikke starte feilsøkingsavspilling: {{error}}", + "alreadyActive": "En avspillingsøkt er allerede aktiv", + "stopError": "Kunne ikke stoppe feilsøkingsavspilling: {{error}}", + "goToReplay": "Gå til avspilling" + } + }, + "page": { + "noSession": "Ingen aktiv feilsøkingsøkt", + "noSessionDesc": "Start en feilsøkingsavspilling fra Historikk-visningen ved å klikke på Handlinger-knappen i verktøylinjen og velge Feilsøkingsavspilling.", + "goToRecordings": "Gå til historikk", + "preparingClip": "Forbereder klipp…", + "preparingClipDesc": "Frigate syr sammen opptak for det valgte tidsrommet. Dette kan ta et minutt for lengre perioder.", + "startingCamera": "Starter feilsøkingsavspilling…", + "startError": { + "title": "Kunne ikke starte feilsøkingsavspilling", + "back": "Tilbake til historikk" + }, + "sourceCamera": "Kildekamera", + "replayCamera": "Avspillingskamera", + "initializingReplay": "Initialiserer feilsøkingsavspilling...", + "stoppingReplay": "Stopper feilsøkingsavspilling...", + "stopReplay": "Stopp avspilling", + "confirmStop": { + "title": "Stoppe feilsøkingsavspilling?", + "description": "Dette vil stoppe økten og slette alle midlertidige data. Er du sikker?", + "confirm": "Stopp avspilling", + "cancel": "Avbryt" + }, + "activity": "Aktivitet", + "objects": "Objektliste", + "audioDetections": "Lyd-deteksjoner", + "noActivity": "Ingen aktivitet detektert", + "activeTracking": "Aktiv sporing", + "noActiveTracking": "Ingen aktiv sporing", + "configuration": "Konfigurasjon", + "configurationDesc": "Finjuster innstillinger for bevegelsesdeteksjon og objektsporing for feilsøkingskameraet. Ingen endringer lagres i din Frigate-konfigurasjonsfil." + } +} diff --git a/web/public/locales/nb-NO/views/settings.json b/web/public/locales/nb-NO/views/settings.json index 3b0f3b4f09..69055fd4bc 100644 --- a/web/public/locales/nb-NO/views/settings.json +++ b/web/public/locales/nb-NO/views/settings.json @@ -61,8 +61,8 @@ "cameraLpr": "Kjennemerke-gjenkjenning", "integrationLpr": "Kjennemerke-gjenkjenning", "systemLogging": "Logging", - "cameraAudioEvents": "Lydhendelser", - "globalAudioEvents": "Lydhendelser", + "cameraAudioEvents": "Lyd-deteksjon", + "globalAudioEvents": "Lyd-deteksjon", "cameraAudioTranscription": "Lydtranskripsjon", "integrationAudioTranscription": "Lydtranskripsjon", "systemDetectorHardware": "Maskinvare for detektor", @@ -791,6 +791,14 @@ "plusModelType": { "userModel": "Finjustert", "baseModel": "Basismodell" + }, + "noModelLoaded": "Ingen Frigate+-modell er lastet inn for øyeblikket.", + "selectModel": "Velg en modell", + "noModelsAvailable": "Ingen modeller tilgjengelig", + "filter": { + "ariaLabel": "Filtrer modeller etter type", + "baseModels": "Basismodeller", + "fineTunedModels": "Finjusterte modeller" } }, "title": "Frigate+ Innstillinger", @@ -1341,7 +1349,8 @@ }, "hikvision": { "substreamWarning": "Substrøm 1 er låst til lav oppløsning. Mange Hikvision-kameraer støtter flere substrømmer som må aktiveres i kameraets innstillinger. Det anbefales å sjekke og benytte disse strømmene hvis de er tilgjengelige." - } + }, + "resolutionUnknown": "Oppløsningen for denne strømmen kunne ikke fastslås. Du bør angi deteksjonsoppløsningen manuelt i innstillingene eller i konfigurasjonen din." } } }, @@ -1358,7 +1367,13 @@ "enableSuccess": "Aktiverte {{cameraName}} i konfigurasjonen. Start Frigate på nytt for å ta i bruk endringene.", "enableLabel": "Aktiverte kameraer", "enableDesc": "Deaktiver et aktivert kamera midlertidig frem til Frigate starter på nytt. Deaktivering av et kamera stopper all prosessering av kameraets strømmer. Deteksjon, opptak og feilsøking vil være utilgjengelig.
    Merk: Dette deaktiverer ikke videreformidling (restream) i go2rtc.", - "disableLabel": "Deaktiverte kameraer" + "disableLabel": "Deaktiverte kameraer", + "friendlyName": { + "edit": "Rediger visningsnavn for kamera", + "title": "Rediger visningsnavn", + "description": "Angi visningsnavnet som skal brukes for dette kameraet i Frigate-grensesnittet. La feltet stå tomt for å bruke kamera-ID.", + "rename": "Omdøp" + } }, "cameraConfig": { "add": "Legg til kamera", @@ -1408,7 +1423,16 @@ "description": "Sletting av et kamera vil fjerne alle opptak, sporede objekter og konfigurasjon for dette kameraet permanent. Eventuelle go2rtc-strømmer tilknyttet kameraet må eventuelt fjernes manuelt.", "selectPlaceholder": "Velg kamera..." }, - "deleteCamera": "Slett kamera" + "deleteCamera": "Slett kamera", + "cameraType": { + "title": "Kameratype", + "label": "Kameratype", + "description": "Angi type for hvert kamera. Dedikerte LPR-kameraer er spesialkameraer med kraftig optisk zoom for å fange opp kjennemerker på kjøretøy langt unna. De fleste kameraer bør bruke typen \"Normal\", med mindre kameraet er spesifikt for gjenkjenning av kjennemerker og har et snevert fokus på kjennemerker.", + "normal": "Normal", + "dedicatedLpr": "Dedikert LPR (lesing av kjennemerker)", + "saveSuccess": "Kameratype oppdatert for {{cameraName}}. Start Frigate på nytt for å bruke endringene." + }, + "description": "Legg til, rediger og slett kameraer, kontroller hvilke kameraer som er aktivert, og konfigurer overstyringer for hver profil og kameratype. For å konfigurere strømmer, deteksjon, bevegelse og andre kameraspesifikke innstillinger, velg den aktuelle seksjonen under Kamerakonfigurasjon." }, "cameraReview": { "title": "Innstillinger for kamerainspeksjon", @@ -1572,7 +1596,9 @@ "options": { "embeddings": "Vektorrepresentasjoner", "tools": "Verktøy", - "vision": "Bildegjenkjenning" + "vision": "Bildegjenkjenning", + "descriptions": "Beskrivelser", + "chat": "Chat" } }, "additionalProperties": { @@ -1630,13 +1656,39 @@ "itemTitle": "Strøm {{index}}" }, "searchPlaceholder": "Søk...", - "showAdvanced": "Vis avanserte innstillinger" + "showAdvanced": "Vis avanserte innstillinger", + "genaiModel": { + "placeholder": "Velg modell…", + "search": "Søk modeller…", + "noModels": "Ingen modeller tilgjengelig" + }, + "knownPlates": { + "platePlaceholder": "Kjennemerke nummer eller regex", + "namePlaceholder": "f.eks konas bil" + } }, "button": { "overriddenBaseConfigTooltip": "{{profile}}-profilen overstyrer konfigurasjonsinnstillinger i denne seksjonen", "overriddenGlobalTooltip": "Dette kameraet overstyrer globale konfigurasjonsinnstillinger i denne seksjonen", "overriddenBaseConfig": "Overstyrt (Basiskonfigurasjon)", - "overriddenGlobal": "Overstyrt (Global)" + "overriddenGlobal": "Overstyrt (Global)", + "overriddenInCameras": { + "label_one": "Overstyrt i {{count}} kamera", + "label_other": "Overstyrt i {{count}} kameraer", + "tooltip_one": "{{count}} kamera overstyrer verdier i denne seksjonen. Klikk for å se detaljer.", + "tooltip_other": "{{count}} kameraer overstyrer verdier i denne seksjonen. Klikk for å se detaljer.", + "heading_one": "Denne globale seksjonen har felt som er overstyrt i {{count}} kamera.", + "heading_other": "Denne globale seksjonen har felt som er overstyrt i {{count}} kameraer.", + "othersField_one": "{{count}} annen", + "othersField_other": "{{count}} andre", + "profilePrefix": "{{profile}}-profil: {{fields}}" + }, + "overriddenGlobalHeading_one": "Dette kameraet overstyrer {{count}} felt fra den globale konfigurasjonen:", + "overriddenGlobalHeading_other": "Dette kameraet overstyrer {{count}} felt fra den globale konfigurasjonen:", + "overriddenGlobalNoDeltas": "Dette kameraet overstyrer den globale konfigurasjonen, men ingen feltverdier er forskjellige.", + "overriddenBaseConfigHeading_one": "{{profile}}-profilen overstyrer {{count}} felt fra basiskonfigurasjonen:", + "overriddenBaseConfigHeading_other": "{{profile}}-profilen overstyrer {{count}} felt fra basiskonfigurasjonen:", + "overriddenBaseConfigNoDeltas": "{{profile}}-profilen overstyrer denne seksjonen, men ingen feltverdier er forskjellige fra basiskonfigurasjonen." }, "detectionModel": { "plusActive": { @@ -1735,18 +1787,21 @@ "review": { "allNonAlertDetections": "All aktivitet som ikke er et varsel, vil bli inkludert som deteksjoner.", "detectDisabled": "Objektdeteksjon er deaktivert. Inspeksjonselementer krever detekterte objekter for å kategorisere varsler og deteksjoner.", - "recordDisabled": "Opptak er deaktivert, inspeksjonselementer vil ikke bli generert." + "recordDisabled": "Opptak er deaktivert, inspeksjonselementer vil ikke bli generert.", + "genaiImageSourceRecordingsRecordDisabled": "Bildekilde er satt til \"opptak\", men opptak er deaktivert. Frigate vil falle tilbake til forhåndsvisningsbilder." }, "detectors": { "mixedTypesSuggestion": "Alle detektorer må bruke samme type. Fjern eksisterende detektorer eller velg {{type}}.", "mixedTypes": "Alle detektorer må bruke samme type. Fjern eksisterende detektorer for å bruke en annen type." }, "faceRecognition": { - "globalDisabled": "Ansiktsgjenkjenning er ikke aktivert på globalt nivå. Aktiver det i globale innstillinger for at ansiktsgjenkjenning på kameranivå skal fungere.", - "personNotTracked": "Ansiktsgjenkjenning krever at objektet 'person' spores. Sørg for at 'person' er i listen over objektsporing." + "globalDisabled": "Utvidelse for ansiktsgjenkjenning må være aktivert for at funksjoner for ansiktsgjenkjenning skal fungere på dette kameraet.", + "personNotTracked": "Ansiktsgjenkjenning krever at objektet 'person' spores. Aktiver 'person' under Objekter for dette kameraet.", + "modelSizeLarge": "Den store (large) modellen krever GPU eller NPU for akseptabel ytelse. Bruk liten (small) på systemer med kun CPU." }, "detect": { - "fpsGreaterThanFive": "Det anbefales ikke å sette FPS for deteksjon høyere enn 5." + "fpsGreaterThanFive": "Det anbefales ikke å sette FPS for deteksjon høyere enn 5. Høyere verdier kan føre til ytelsesproblemer uten å gi noen fordeler.", + "disabled": "Objektdeteksjon er deaktivert. Stillbilder, inspeksjonselementer og utvidelser som ansiktsgjenkjenning, lesing av kjennemerker og generativ AI vil ikke fungere." }, "birdseye": { "objectsModeDetectDisabled": "Fugleperspektiv er satt til 'objekter'-modus, men objektdeteksjon er deaktivert for dette kameraet. Kameraet vil ikke vises i Fugleperspektiv." @@ -1764,8 +1819,15 @@ "detectDisabled": "Objektdeteksjon er deaktivert. Stillbilder genereres fra sporede objekter og vil ikke bli opprettet." }, "lpr": { - "globalDisabled": "Identifisering av kjennemerker er ikke aktivert på globalt nivå. Aktiver det i globale innstillinger for at identifisering på kameranivå skal fungere.", - "vehicleNotTracked": "Identifisering av kjnnemerker krever at 'bil' eller 'motorsykkel' spores." + "globalDisabled": "Utvidelse for identifisering av kjennemerker må være aktivert for at LPR-funksjoner skal fungere på dette kameraet.", + "vehicleNotTracked": "Identifisering av kjennemerker krever at 'bil' eller 'motorsykkel' spores. Aktiver 'bil' eller 'motorsykkel' under Objekter for dette kameraet.", + "modelSizeLarge": "Den store (large) modellen er optimalisert for kjennemerker over flere linjer. Den lille (small) modellen gir bedre ytelse og bør brukes med mindre din region bruker skiltformater med flere linjer." + }, + "objects": { + "genaiNoDescriptionsProvider": "Du må konfigurere en GenAI-leverandør med rollen \"beskrivelser\" for at beskrivelser skal kunne genereres." + }, + "semanticSearch": { + "jinav2SmallModelSize": "Størrelsen \"liten\" med Jina V2-modellen har høyt minnebruk og beregningskostnad. Den \"store\" modellen med en dedikert GPU anbefales." } }, "maintenance": { @@ -1830,7 +1892,14 @@ }, "onvif": { "profileAuto": "Auto", - "profileLoading": "Laster profiler..." + "profileLoading": "Laster profiler...", + "autotracking": { + "zooming": { + "disabled": "Deaktivert", + "absolute": "Absolutt", + "relative": "Relativ" + } + } }, "confirmReset": "Bekreft nullstilling", "resetToDefaultDescription": "Dette vil nullstille alle innstillinger i denne seksjonen til standardverdiene. Denne handlingen kan ikke angres.", @@ -1894,5 +1963,67 @@ "bl": "Nederst til venstre", "tr": "Øverst til høyre", "tl": "Øverst til venstre" + }, + "birdseye": { + "trackingMode": { + "objects": "Objekter", + "motion": "Bevegelse", + "continuous": "Kontinuerlig" + } + }, + "snapshot": { + "retainMode": { + "all": "Alle", + "motion": "Bevegelse", + "active_objects": "Aktive objekter" + } + }, + "ui": { + "timeFormat": { + "browser": "Nettleser", + "12hour": "12 timer", + "24hour": "24 timer" + }, + "TimeOrDateStyle": { + "full": "Full", + "long": "Lang", + "medium": "Middels", + "short": "Kort" + }, + "unitSystem": { + "metric": "Metrisk", + "imperial": "Imperial" + } + }, + "review": { + "imageSource": { + "recordings": "Opptak", + "previews": "Forhåndsvisninger" + } + }, + "logger": { + "logLevel": { + "debug": "Debug", + "info": "Info", + "warning": "Advarsel", + "error": "Feil", + "critical": "Kritisk" + } + }, + "modelSize": { + "small": "Liten", + "large": "Stor" + }, + "retainMode": { + "all": "Alle", + "motion": "Bevegelse", + "active_objects": "Aktive objekter" + }, + "previewQuality": { + "very_high": "Svært høy", + "high": "Høy", + "medium": "Middels", + "low": "Lav", + "very_low": "Svært lav" } } diff --git a/web/public/locales/nb-NO/views/system.json b/web/public/locales/nb-NO/views/system.json index 374e6457b6..ef3ca18e1e 100644 --- a/web/public/locales/nb-NO/views/system.json +++ b/web/public/locales/nb-NO/views/system.json @@ -210,6 +210,9 @@ "expectedFps": "Forventet BPS", "reconnectsLastHour": "Gjentatte tilkoblinger (siste time)", "stallsLastHour": "Avbrudd (siste time)" + }, + "noCameras": { + "title": "Ingen kameraer funnet" } }, "enrichments": { diff --git a/web/public/locales/ne/audio.json b/web/public/locales/ne/audio.json new file mode 100644 index 0000000000..795ce510df --- /dev/null +++ b/web/public/locales/ne/audio.json @@ -0,0 +1,21 @@ +{ + "speech": "बोली", + "bicycle": "साइकल", + "yell": "चिच्याउनु", + "car": "कार", + "bellow": "तलतिर", + "motorcycle": "मोटरसाइकल", + "whoop": "हुप (Whoop)", + "whispering": "सानो बोल्दै", + "babbling": "बडबडाउँदै", + "bus": "बस", + "laughter": "हाँसो", + "train": "रेल", + "snicker": "स्निकर", + "boat": "डुङ्गा", + "crying": "रुँदै", + "singing": "गाउँदै", + "choir": "गायन यन्त्र", + "yodeling": "योडेलिङ", + "chant": "मन्त्र" +} diff --git a/web/public/locales/ne/common.json b/web/public/locales/ne/common.json new file mode 100644 index 0000000000..ec2203d22c --- /dev/null +++ b/web/public/locales/ne/common.json @@ -0,0 +1,18 @@ +{ + "time": { + "untilForRestart": "फ्रिगेट पुनः सुरु नभएसम्म।", + "untilRestart": "पुन: सुरु नभएसम्म", + "never": "कहिल्यै होइन", + "ago": "{{timeAgo}} अघि", + "untilForTime": "{{time}} सम्म", + "justNow": "भर्खरै", + "today": "आज", + "yesterday": "हिजो", + "last7": "पछिल्लो ७ दिन", + "last14": "पछिल्लो १४ दिन", + "last30": "पछिल्लो ३० दिन", + "thisWeek": "यो हप्ता", + "lastWeek": "गत हप्ता", + "thisMonth": "यो महिना" + } +} diff --git a/web/public/locales/ne/components/auth.json b/web/public/locales/ne/components/auth.json new file mode 100644 index 0000000000..e61a7b778c --- /dev/null +++ b/web/public/locales/ne/components/auth.json @@ -0,0 +1,16 @@ +{ + "form": { + "user": "प्रयोगकर्ता नाम", + "password": "पासवर्ड", + "login": "लगइन", + "firstTimeLogin": "पहिलो पटक लग इन गर्ने प्रयास गर्दै हुनुहुन्छ? प्रमाणपत्रहरू फ्रिगेट लगहरूमा छापिएका हुन्छन्।", + "errors": { + "usernameRequired": "प्रयोगकर्ता नाम आवश्यक छ", + "passwordRequired": "पासवर्ड आवश्यक छ", + "rateLimit": "दर सीमा नाघ्यो। पछि फेरि प्रयास गर्नुहोस्।", + "loginFailed": "लगइन असफल भयो", + "unknownError": "अज्ञात त्रुटि। लगहरू जाँच गर्नुहोस्", + "webUnknownError": "अज्ञात त्रुटि। कन्सोल लगहरू जाँच गर्नुहोस्।" + } + } +} diff --git a/web/public/locales/ne/components/camera.json b/web/public/locales/ne/components/camera.json new file mode 100644 index 0000000000..59a1682243 --- /dev/null +++ b/web/public/locales/ne/components/camera.json @@ -0,0 +1,28 @@ +{ + "group": { + "label": "क्यामेरा समूहहरू", + "add": "क्यामेरा समूह थप्नुहोस्", + "edit": "क्यामेरा समूह सम्पादन गर्नुहोस्", + "delete": { + "label": "क्यामेरा समूह मेटाउनुहोस्", + "confirm": { + "title": "मेटाउने पुष्टि गर्नुहोस्", + "desc": "के तपाईं क्यामेरा समूह {{name}} मेटाउन निश्चित हुनुहुन्छ?" + } + }, + "name": { + "label": "नाम", + "placeholder": "नाम प्रविष्ट गर्नुहोस्…", + "errorMessage": { + "mustLeastCharacters": "क्यामेरा समूहको नाम कम्तिमा २ वर्णको हुनुपर्छ।", + "exists": "क्यामेरा समूहको नाम पहिले नै अवस्थित छ।", + "nameMustNotPeriod": "क्यामेरा समूहको नाममा पूर्णविराम हुनुहुँदैन।", + "invalid": "क्यामेरा समूहको नाम अमान्य छ।" + } + }, + "cameras": { + "label": "क्यामेराहरू", + "desc": "यस समूहको लागि क्यामेराहरू चयन गर्नुहोस्।" + } + } +} diff --git a/web/public/locales/ne/components/dialog.json b/web/public/locales/ne/components/dialog.json new file mode 100644 index 0000000000..25cdda520d --- /dev/null +++ b/web/public/locales/ne/components/dialog.json @@ -0,0 +1,34 @@ +{ + "restart": { + "title": "के तपाईं फ्रिगेट पुन: सुरु गर्न चाहनुहुन्छ?", + "description": "यसले फ्रिगेट पुन: सुरु हुँदा केही समयको लागि रोक्नेछ।", + "button": "पुनः सुरु", + "restarting": { + "title": "फ्रिगेट पुन: सुरु हुँदैछ", + "content": "यो पृष्ठ {{countdown}} सेकेन्डमा पुन: लोड हुनेछ।", + "button": "अहिले नै जबरजस्ती पुन: लोड गर्नुहोस्" + } + }, + "explore": { + "plus": { + "submitToPlus": { + "label": "फ्रिगेट+ मा पेश गर्नुहोस्", + "desc": "तपाईंले बेवास्ता गर्न चाहनुभएको स्थानहरूमा रहेका वस्तुहरू गलत सकारात्मक होइनन्। तिनीहरूलाई गलत सकारात्मकको रूपमा पेश गर्नाले मोडेल भ्रमित हुनेछ।" + }, + "review": { + "question": { + "label": "फ्रिगेट प्लसको लागि यो लेबल पुष्टि गर्नुहोस्", + "ask_a": "के यो वस्तु {{label}} हो?", + "ask_an": "के यो वस्तु {{label}} हो?", + "ask_full": "के यो वस्तु {{untranslatedLabel}} ({{translatedLabel}}) हो?" + }, + "state": { + "submitted": "पेश गरियो" + } + } + }, + "video": { + "viewInHistory": "इतिहासमा हेर्नुहोस्" + } + } +} diff --git a/web/public/locales/ne/components/filter.json b/web/public/locales/ne/components/filter.json new file mode 100644 index 0000000000..40a28af632 --- /dev/null +++ b/web/public/locales/ne/components/filter.json @@ -0,0 +1,30 @@ +{ + "filter": "फिल्टर गर्नुहोस्", + "classes": { + "label": "कक्षाहरू", + "all": { + "title": "सबै कक्षाहरू" + }, + "count_one": "{{count}} कक्षा", + "count_other": "{{count}} कक्षाहरू" + }, + "labels": { + "label": "लेबलहरू", + "all": { + "title": "सबै लेबलहरू", + "short": "लेबलहरू" + }, + "count_one": "{{count}} लेबल", + "count_other": "{{count}} लेबलहरू" + }, + "zones": { + "label": "क्षेत्रहरू", + "all": { + "title": "सबै क्षेत्रहरू", + "short": "क्षेत्रहरू" + } + }, + "dates": { + "selectPreset": "प्रिसेट चयन गर्नुहोस्…" + } +} diff --git a/web/public/locales/ne/components/icons.json b/web/public/locales/ne/components/icons.json new file mode 100644 index 0000000000..208c39a2a7 --- /dev/null +++ b/web/public/locales/ne/components/icons.json @@ -0,0 +1,8 @@ +{ + "iconPicker": { + "selectIcon": "आइकन चयन गर्नुहोस्", + "search": { + "placeholder": "आइकन खोज्नुहोस्…" + } + } +} diff --git a/web/public/locales/ne/components/input.json b/web/public/locales/ne/components/input.json new file mode 100644 index 0000000000..c1990b9937 --- /dev/null +++ b/web/public/locales/ne/components/input.json @@ -0,0 +1,10 @@ +{ + "button": { + "downloadVideo": { + "label": "डाउनलोड भिडियो", + "toast": { + "success": "तपाईंको समीक्षा वस्तुको भिडियो डाउनलोड हुन थालेको छ।" + } + } + } +} diff --git a/web/public/locales/ne/components/player.json b/web/public/locales/ne/components/player.json new file mode 100644 index 0000000000..ffb97d5402 --- /dev/null +++ b/web/public/locales/ne/components/player.json @@ -0,0 +1,26 @@ +{ + "noPreviewFound": "कुनै पूर्वावलोकन फेला परेन", + "noPreviewFoundFor": "{{cameraName}} को लागि कुनै पूर्वावलोकन फेला परेन।", + "submitFrigatePlus": { + "title": "यो फ्रेम Frigate+ मा बुझाउने हो?", + "submit": "पेश गर्नुहोस्", + "previewError": "स्न्यापसट पूर्वावलोकन लोड गर्न सकिएन। रेकर्डिङ यस समयमा उपलब्ध नहुन सक्छ।" + }, + "noRecordingsFoundForThisTime": "यस समयको लागि कुनै रेकर्डिङ फेला परेन", + "livePlayerRequiredIOSVersion": "यस लाइभ स्ट्रिम प्रकारको लागि iOS १७.१ वा सोभन्दा माथिको संस्करण आवश्यक छ।", + "streamOffline": { + "title": "अफलाइन स्ट्रिम गर्नुहोस्", + "desc": "{{cameraName}} detect स्ट्रिममा कुनै पनि फ्रेमहरू प्राप्त भएका छैनन्, त्रुटि लगहरू जाँच गर्नुहोस्" + }, + "cameraDisabled": "क्यामेरा असक्षम पारिएको छ", + "stats": { + "streamType": { + "title": "स्ट्रिम प्रकार:", + "short": "प्रकार" + }, + "bandwidth": { + "title": "ब्यान्डविथ:", + "short": "ब्यान्डविथ" + } + } +} diff --git a/web/public/locales/ne/config/cameras.json b/web/public/locales/ne/config/cameras.json new file mode 100644 index 0000000000..3179ad38dd --- /dev/null +++ b/web/public/locales/ne/config/cameras.json @@ -0,0 +1,33 @@ +{ + "label": "क्यामेरा कन्फिग", + "name": { + "label": "क्यामेराको नाम", + "description": "क्यामेराको नाम आवश्यक छ" + }, + "friendly_name": { + "label": "मैत्रीपूर्ण नाम", + "description": "फ्रिगेट UI मा प्रयोग गरिएको क्यामेरा मैत्री नाम" + }, + "enabled": { + "label": "सक्षम पारिएको", + "description": "सक्षम पारिएको" + }, + "audio": { + "label": "अडियो पत्ता लगाउने सुविधा", + "description": "यस क्यामेराको लागि अडियो-आधारित घटना पत्ता लगाउने सेटिङहरू।", + "enabled": { + "label": "अडियो पत्ता लगाउने सुविधा सक्षम पार्नुहोस्", + "description": "यस क्यामेराको लागि अडियो घटना पत्ता लगाउने सुविधा सक्षम वा असक्षम पार्नुहोस्।" + }, + "max_not_heard": { + "label": "समयसीमा समाप्त गर्नुहोस्", + "description": "अडियो घटना समाप्त हुनुभन्दा पहिले कन्फिगर गरिएको अडियो प्रकार बिना सेकेन्डको मात्रा।" + }, + "min_volume": { + "label": "न्यूनतम भोल्युम" + } + }, + "zones": { + "label": "क्षेत्रहरू" + } +} diff --git a/web/public/locales/ne/config/global.json b/web/public/locales/ne/config/global.json new file mode 100644 index 0000000000..fe3f978e70 --- /dev/null +++ b/web/public/locales/ne/config/global.json @@ -0,0 +1,42 @@ +{ + "version": { + "label": "हालको कन्फिगरेसन संस्करण", + "description": "माइग्रेसन वा ढाँचा परिवर्तनहरू पत्ता लगाउन मद्दत गर्न सक्रिय कन्फिगरेसनको संख्यात्मक वा स्ट्रिङ संस्करण।" + }, + "safe_mode": { + "label": "सुरक्षित मोड", + "description": "सक्षम हुँदा, समस्या निवारणको लागि कम सुविधाहरूको साथ सुरक्षित मोडमा फ्रिगेट सुरु गर्नुहोस्।" + }, + "environment_vars": { + "label": "वातावरणीय चरहरू", + "description": "होम असिस्टेन्ट ओएसमा फ्रिगेट प्रक्रियाको लागि सेट गर्नुपर्ने वातावरण चरहरूको कुञ्जी/मान जोडीहरू। गैर-HAOS प्रयोगकर्ताहरूले यसको सट्टा डकर वातावरण चर कन्फिगरेसन प्रयोग गर्नुपर्छ।" + }, + "logger": { + "label": "लगिङ", + "description": "पूर्वनिर्धारित लग शब्दावली र प्रति-घटक लग स्तर ओभरराइडहरू नियन्त्रण गर्दछ।", + "default": { + "label": "लगिङ स्तर", + "description": "पूर्वनिर्धारित विश्वव्यापी लग शब्दावली (डिबग, जानकारी, चेतावनी, त्रुटि)।" + }, + "logs": { + "label": "प्रति-प्रक्रिया लग स्तर", + "description": "विशिष्ट मोड्युलहरूको लागि शब्दावली बढाउन वा घटाउन प्रति-घटक लग स्तर ओभरराइड हुन्छ।" + } + }, + "audio": { + "label": "अडियो पत्ता लगाउने सुविधा", + "enabled": { + "label": "अडियो पत्ता लगाउने सुविधा सक्षम पार्नुहोस्" + }, + "max_not_heard": { + "label": "समयसीमा समाप्त गर्नुहोस्", + "description": "अडियो घटना समाप्त हुनुभन्दा पहिले कन्फिगर गरिएको अडियो प्रकार बिना सेकेन्डको मात्रा।" + }, + "min_volume": { + "label": "न्यूनतम भोल्युम" + } + }, + "auth": { + "label": "प्रमाणीकरण" + } +} diff --git a/web/public/locales/ne/config/groups.json b/web/public/locales/ne/config/groups.json new file mode 100644 index 0000000000..f3ea1a4af6 --- /dev/null +++ b/web/public/locales/ne/config/groups.json @@ -0,0 +1,44 @@ +{ + "audio": { + "global": { + "detection": "विश्वव्यापी पत्ता-लगाउने", + "sensitivity": "विश्वव्यापी संवेदनशीलता" + }, + "cameras": { + "detection": "पत्ता-लगाउने", + "sensitivity": "संवेदनशीलता" + } + }, + "timestamp_style": { + "global": { + "appearance": "विश्वव्यापी उपस्थिति" + }, + "cameras": { + "appearance": "उपस्थिति" + } + }, + "motion": { + "global": { + "sensitivity": "विश्वव्यापी संवेदनशीलता", + "algorithm": "विश्वव्यापी एल्गोरिथम" + }, + "cameras": { + "sensitivity": "संवेदनशीलता", + "algorithm": "एल्गोरिथ्म" + } + }, + "snapshots": { + "global": { + "display": "विश्वव्यापी प्रदर्शन" + }, + "cameras": { + "display": "प्रदर्शन" + } + }, + "detect": { + "global": { + "resolution": "विश्वव्यापी रिजोल्युसन", + "tracking": "विश्वव्यापी ट्र्याकिङ" + } + } +} diff --git a/web/public/locales/ne/config/validation.json b/web/public/locales/ne/config/validation.json new file mode 100644 index 0000000000..ead6ccf550 --- /dev/null +++ b/web/public/locales/ne/config/validation.json @@ -0,0 +1,16 @@ +{ + "minimum": "कम्तिमा हुनुपर्छ {{limit}}", + "maximum": "बढीमा हुनुपर्छ {{limit}}", + "exclusiveMinimum": "{{limit}} भन्दा बढी हुनुपर्छ", + "exclusiveMaximum": ".{{limit}} भन्दा कम हुनुपर्छ", + "minLength": "कम्तिमा {{limit}} वर्ण(हरू) हुनुपर्छ।", + "maxLength": "बढीमा {{limit}} वर्ण(हरू) हुनु पर्छ", + "minItems": "कम्तिमा {{limit}} वस्तुहरू हुनुपर्छ", + "maxItems": "बढीमा {{limit}} वस्तुहरू हुनुपर्छ", + "pattern": "अमान्य ढाँचा", + "required": "यो क्षेत्र आवश्यक छ", + "type": "अमान्य मान प्रकार", + "enum": "अनुमति दिइएको मानहरू मध्ये एक हुनुपर्छ", + "const": "मान अपेक्षित स्थिरांकसँग मेल खाँदैन", + "uniqueItems": "सबै वस्तुहरू अद्वितीय हुनुपर्छ" +} diff --git a/web/public/locales/ne/objects.json b/web/public/locales/ne/objects.json new file mode 100644 index 0000000000..e1826aaad9 --- /dev/null +++ b/web/public/locales/ne/objects.json @@ -0,0 +1,16 @@ +{ + "person": "व्यक्ति", + "bicycle": "साइकल", + "car": "कार", + "motorcycle": "मोटरसाइकल", + "airplane": "हवाइजहाज", + "bus": "बस", + "train": "रेल", + "boat": "डुङ्गा", + "traffic_light": "ट्राफिक लाइट", + "fire_hydrant": "आगो निभाउने यन्त्र", + "street_sign": "सडक चिन्ह", + "stop_sign": "रोक चिन्ह", + "parking_meter": "पार्किङ मिटर", + "bench": "बेन्च" +} diff --git a/web/public/locales/ne/views/chat.json b/web/public/locales/ne/views/chat.json new file mode 100644 index 0000000000..1afa99cc5e --- /dev/null +++ b/web/public/locales/ne/views/chat.json @@ -0,0 +1,15 @@ +{ + "documentTitle": "च्याट - फ्रिगेट", + "title": "फ्रिगेट च्याट", + "subtitle": "क्यामेरा व्यवस्थापन र अन्तर्दृष्टिको लागि तपाईंको एआई सहायक", + "placeholder": "सोध्नुहोस्...", + "error": "केही गडबड भयो। कृपया फेरि प्रयास गर्नुहोस्।", + "processing": "प्रशोधन गर्दै...", + "toolsUsed": "प्रयोग गरिएको: {{tools}}", + "showTools": "उपकरणहरू देखाउनुहोस् ({{count}})", + "hideTools": "उपकरणहरू लुकाउनुहोस्", + "call": "कल गर्नुहोस्", + "result": "नतिजा", + "arguments": "तर्कहरू:", + "response": "प्रतिक्रिया:" +} diff --git a/web/public/locales/ne/views/classificationModel.json b/web/public/locales/ne/views/classificationModel.json new file mode 100644 index 0000000000..e37b8ee94c --- /dev/null +++ b/web/public/locales/ne/views/classificationModel.json @@ -0,0 +1,25 @@ +{ + "documentTitle": "वर्गीकरण मोडेलहरू - फ्रिगेट", + "details": { + "scoreInfo": "स्कोरले यस वस्तुको सबै पत्ता लगाउने कार्यहरूमा औसत वर्गीकरण विश्वासलाई प्रतिनिधित्व गर्दछ।", + "none": "कुनै पनि होइन", + "unknown": "अज्ञात" + }, + "description": { + "invalidName": "अमान्य नाम। नामहरूमा अक्षर, संख्या, खाली ठाउँ, अपोस्ट्रोफी, अन्डरस्कोर र हाइफन मात्र समावेश हुन सक्छन्।" + }, + "button": { + "deleteClassificationAttempts": "वर्गीकरण छविहरू मेटाउनुहोस्", + "renameCategory": "वर्गको नाम बदल्नुहोस्", + "deleteCategory": "कक्षा मेटाउनुहोस्", + "deleteImages": "छविहरू मेटाउनुहोस्", + "trainModel": "रेल मोडेल", + "addClassification": "वर्गीकरण थप्नुहोस्", + "deleteModels": "मोडेलहरू मेटाउनुहोस्", + "editModel": "मोडेल सम्पादन गर्नुहोस्" + }, + "tooltip": { + "trainingInProgress": "मोडेल हाल प्रशिक्षणमा छिन्", + "noNewImages": "तालिम दिनको लागि कुनै नयाँ तस्बिरहरू छैनन्। पहिले डेटासेटमा थप तस्बिरहरू वर्गीकृत गर्नुहोस्।" + } +} diff --git a/web/public/locales/ne/views/configEditor.json b/web/public/locales/ne/views/configEditor.json new file mode 100644 index 0000000000..ac03412677 --- /dev/null +++ b/web/public/locales/ne/views/configEditor.json @@ -0,0 +1,18 @@ +{ + "documentTitle": "कन्फिग सम्पादक - फ्रिगेट", + "configEditor": "कन्फिग सम्पादक", + "safeConfigEditor": "कन्फिग सम्पादक (सुरक्षित मोड)", + "safeModeDescription": "कन्फिग प्रमाणीकरण त्रुटिको कारणले फ्रिगेट सुरक्षित मोडमा छ।", + "copyConfig": "कन्फिग प्रतिलिपि गर्नुहोस्", + "saveAndRestart": "बचत गर्नुहोस् र पुन: सुरु गर्नुहोस्", + "saveOnly": "बचत मात्र", + "confirm": "बचत नगरी बाहिर निस्कने हो?", + "toast": { + "success": { + "copyToClipboard": "कन्फिगरेसन क्लिपबोर्डमा प्रतिलिपि गरियो।" + }, + "error": { + "savingError": "कन्फिगरेसन बचत गर्दा त्रुटि भयो" + } + } +} diff --git a/web/public/locales/ne/views/events.json b/web/public/locales/ne/views/events.json new file mode 100644 index 0000000000..b04c4d7f7b --- /dev/null +++ b/web/public/locales/ne/views/events.json @@ -0,0 +1,23 @@ +{ + "alerts": "अलर्टहरू", + "detections": "पत्ता लगाउने", + "motion": { + "label": "गति", + "only": "गति मात्र" + }, + "allCameras": "सबै क्यामेराहरू", + "empty": { + "alert": "समीक्षा गर्न कुनै अलर्टहरू छैनन्", + "detection": "समीक्षा गर्न कुनै पनि पत्ता लगाइएको छैन", + "motion": "गतिसम्बन्धी कुनै डेटा फेला परेन", + "recordingsDisabled": { + "title": "रेकर्डिङहरू सक्षम पारिएको हुनुपर्छ", + "description": "क्यामेराको लागि रेकर्डिङ सक्षम पारिएको बेला मात्र समीक्षा वस्तुहरू सिर्जना गर्न सकिन्छ।" + } + }, + "timeline": { + "label": "समयरेखा", + "aria": "टाइमलाइन चयन गर्नुहोस्" + }, + "zoomIn": "जुम इन गर्नुहोस्" +} diff --git a/web/public/locales/ne/views/explore.json b/web/public/locales/ne/views/explore.json new file mode 100644 index 0000000000..80ca127f6f --- /dev/null +++ b/web/public/locales/ne/views/explore.json @@ -0,0 +1,28 @@ +{ + "details": { + "timestamp": "टाइमस्ट्याम्प" + }, + "documentTitle": "अन्वेषण गर्नुहोस् - फ्रिगेट", + "generativeAI": "जेनेरेटिभ एआई", + "exploreMore": "थप {{label}} वस्तुहरू अन्वेषण गर्नुहोस्", + "exploreIsUnavailable": { + "title": "अन्वेषण उपलब्ध छैन", + "embeddingsReindexing": { + "context": "ट्र्याक गरिएका वस्तु इम्बेडिङहरूले पुन: अनुक्रमणिका समाप्त गरेपछि अन्वेषण प्रयोग गर्न सकिन्छ।", + "startingUp": "सुरु गर्दै…", + "estimatedTime": "अनुमानित बाँकी समय:", + "finishingShortly": "चाँडै नै समाप्त हुँदैछ", + "step": { + "thumbnailsEmbedded": "इम्बेड गरिएका थम्बनेलहरू: ", + "descriptionsEmbedded": "इम्बेड गरिएका विवरणहरू: ", + "trackedObjectsProcessed": "ट्र्याक गरिएका वस्तुहरू प्रशोधन गरियो: " + } + }, + "downloadingModels": { + "context": "फ्रिगेटले सिमान्टिक खोज सुविधालाई समर्थन गर्न आवश्यक इम्बेडिङ मोडेलहरू डाउनलोड गर्दैछ। तपाईंको नेटवर्क जडानको गतिमा निर्भर गर्दै यसले धेरै मिनेट लिन सक्छ।", + "setup": { + "visionModel": "भिजन मोडेल" + } + } + } +} diff --git a/web/public/locales/ne/views/exports.json b/web/public/locales/ne/views/exports.json new file mode 100644 index 0000000000..2afa762d39 --- /dev/null +++ b/web/public/locales/ne/views/exports.json @@ -0,0 +1,24 @@ +{ + "search": "खोज्नुहोस्", + "noExports": "कुनै निर्यात भेटिएन", + "headings": { + "cases": "केसहरू", + "uncategorizedExports": "वर्गीकृत नगरिएका निर्यातहरू" + }, + "documentTitle": "निर्यात - फ्रिगेट", + "deleteExport": { + "label": "निर्यात मेटाउनुहोस्", + "desc": "के तपाईं {{exportName}} मेटाउन चाहनुहुन्छ?" + }, + "editExport": { + "title": "निर्यातको नाम बदल्नुहोस्", + "desc": "यो निर्यातको लागि नयाँ नाम प्रविष्ट गर्नुहोस्।", + "saveExport": "निर्यात बचत गर्नुहोस्" + }, + "tooltip": { + "shareExport": "निर्यात सेयर गर्नुहोस्", + "downloadVideo": "भिडियो डाउनलोड गर्नुहोस्", + "editName": "नाम सम्पादन गर्नुहोस्", + "deleteExport": "निर्यात मेटाउनुहोस्" + } +} diff --git a/web/public/locales/ne/views/faceLibrary.json b/web/public/locales/ne/views/faceLibrary.json new file mode 100644 index 0000000000..1728f993cd --- /dev/null +++ b/web/public/locales/ne/views/faceLibrary.json @@ -0,0 +1,26 @@ +{ + "description": { + "addFace": "आफ्नो पहिलो तस्विर अपलोड गरेर अनुहार पुस्तकालयमा नयाँ संग्रह थप्नुहोस्।", + "placeholder": "यो सङ्ग्रहको लागि नाम प्रविष्ट गर्नुहोस्", + "invalidName": "अमान्य नाम। नामहरूमा अक्षर, संख्या, खाली ठाउँ, अपोस्ट्रोफी, अन्डरस्कोर र हाइफन मात्र समावेश हुन सक्छन्।", + "nameCannotContainHash": "नाममा # हुन सक्दैन।" + }, + "details": { + "unknown": "अज्ञात", + "timestamp": "टाइमस्ट्याम्प", + "scoreInfo": "स्कोर भनेको सबै अनुहारको स्कोरको भारित औसत हो, जुन प्रत्येक छविमा अनुहारको आकारद्वारा भारित हुन्छ।" + }, + "documentTitle": "फेस लाइब्रेरी - फ्रिगेट", + "uploadFaceImage": { + "title": "अनुहारको छवि अपलोड गर्नुहोस्", + "desc": "अनुहारहरू स्क्यान गर्न र {{pageToggle}} को लागि समावेश गर्न एउटा छवि अपलोड गर्नुहोस्" + }, + "collections": "सङ्ग्रहहरू", + "createFaceLibrary": { + "new": "नयाँ अनुहार सिर्जना गर्नुहोस्", + "nextSteps": "बलियो जग निर्माण गर्न:
  • प्रत्येक पत्ता लागेको व्यक्तिको लागि छविहरू चयन गर्न र तालिम दिन हालसालैको पहिचान ट्याब प्रयोग गर्नुहोस्।
  • उत्तम परिणामहरूको लागि सिधा-अन छविहरूमा ध्यान केन्द्रित गर्नुहोस्; कोणमा अनुहारहरू खिच्ने तालिम छविहरूबाट बच्नुहोस्।
    • " + }, + "steps": { + "faceName": "अनुहारको नाम प्रविष्ट गर्नुहोस्" + } +} diff --git a/web/public/locales/ne/views/live.json b/web/public/locales/ne/views/live.json new file mode 100644 index 0000000000..2a4a191d62 --- /dev/null +++ b/web/public/locales/ne/views/live.json @@ -0,0 +1,34 @@ +{ + "documentTitle": { + "default": "प्रत्यक्ष - फ्रिगेट", + "withCamera": "{{camera}} - प्रत्यक्ष - फ्रिगेट" + }, + "lowBandwidthMode": "कम-ब्यान्डविथ मोड", + "twoWayTalk": { + "enable": "दुईतर्फी कुराकानी सक्षम पार्नुहोस्", + "disable": "दुईतर्फी कुराकानी असक्षम पार्नुहोस्" + }, + "cameraAudio": { + "enable": "क्यामेरा अडियो सक्षम पार्नुहोस्", + "disable": "क्यामेरा अडियो असक्षम पार्नुहोस्" + }, + "ptz": { + "move": { + "clickMove": { + "label": "क्यामेरालाई केन्द्रमा राख्न फ्रेममा क्लिक गर्नुहोस्", + "enable": "सार्न क्लिक गर्नुहोस् सक्षम पार्नुहोस्", + "enableWithZoom": "सार्न क्लिक गर्नुहोस् / जुम गर्न तान्नुहोस् सक्षम गर्नुहोस्", + "disable": "सार्न क्लिक गर्ने सुविधा असक्षम पार्नुहोस्" + }, + "left": { + "label": "PTZ क्यामेरालाई बायाँतिर सार्नुहोस्" + }, + "up": { + "label": "PTZ क्यामेरा माथि सार्नुहोस्" + }, + "down": { + "label": "PTZ क्यामेरा तल सार्नुहोस्" + } + } + } +} diff --git a/web/public/locales/ne/views/motionSearch.json b/web/public/locales/ne/views/motionSearch.json new file mode 100644 index 0000000000..22533b1412 --- /dev/null +++ b/web/public/locales/ne/views/motionSearch.json @@ -0,0 +1,17 @@ +{ + "documentTitle": "गति खोज - फ्रिगेट", + "title": "गति खोज", + "description": "रुचिको क्षेत्र परिभाषित गर्न बहुभुज कोर्नुहोस्, र त्यो क्षेत्र भित्र गति परिवर्तनहरू खोज्नको लागि समय दायरा निर्दिष्ट गर्नुहोस्।", + "selectCamera": "गति खोज लोड हुँदैछ", + "startSearch": "खोज सुरु गर्नुहोस्", + "searchStarted": "खोजी सुरु भयो", + "searchCancelled": "खोज रद्द गरियो", + "cancelSearch": "रद्द गर्नुहोस्", + "searching": "खोजी भइरहेको छ।", + "searchComplete": "खोज पूरा भयो", + "noResultsYet": "चयन गरिएको क्षेत्रमा चाल परिवर्तनहरू फेला पार्न खोज चलाउनुहोस्", + "noChangesFound": "चयन गरिएको क्षेत्रमा कुनै पिक्सेल परिवर्तनहरू फेला परेनन्", + "changesFound_one": "{{count}} गति परिवर्तन फेला पर्यो", + "changesFound_other": "{{count}} गति परिवर्तनहरू फेला परे", + "framesProcessed": "{{count}} फ्रेमहरू प्रशोधन गरियो" +} diff --git a/web/public/locales/ne/views/recording.json b/web/public/locales/ne/views/recording.json new file mode 100644 index 0000000000..03ee1d4b3b --- /dev/null +++ b/web/public/locales/ne/views/recording.json @@ -0,0 +1,12 @@ +{ + "export": "निर्यात", + "filter": "फिल्टर गर्नुहोस्", + "calendar": "कैलेंडर", + "filters": "फिल्टरहरू", + "toast": { + "error": { + "noValidTimeSelected": "कुनै मान्य समय दायरा चयन गरिएको छैन", + "endTimeMustAfterStartTime": "अन्त्य समय सुरु समय पछि हुनुपर्छ" + } + } +} diff --git a/web/public/locales/ne/views/replay.json b/web/public/locales/ne/views/replay.json new file mode 100644 index 0000000000..a9185bb087 --- /dev/null +++ b/web/public/locales/ne/views/replay.json @@ -0,0 +1,20 @@ +{ + "title": "डिबग उत्तर", + "description": "डिबगिङको लागि क्यामेरा रेकर्डिङहरू पुन: प्ले गर्नुहोस्। वस्तु सूचीले पत्ता लगाइएका वस्तुहरूको समय-ढिलाइ भएको सारांश देखाउँछ र सन्देश ट्याबले रिप्ले फुटेजबाट फ्रिगेटको आन्तरिक सन्देशहरूको स्ट्रिम देखाउँछ।", + "websocket_messages": "सन्देशहरू", + "dialog": { + "title": "डिबग रिप्ले सुरु गर्नुहोस्", + "description": "वस्तु पत्ता लगाउने र ट्र्याकिङ समस्याहरू डिबग गर्न ऐतिहासिक फुटेज लुप गर्ने अस्थायी रिप्ले क्यामेरा सिर्जना गर्नुहोस्। रिप्ले क्यामेरामा स्रोत क्यामेरा जस्तै पत्ता लगाउने कन्फिगरेसन हुनेछ। सुरु गर्न समय दायरा छनौट गर्नुहोस्।", + "camera": "स्रोत क्यामेरा", + "timeRange": "समय दायरा", + "preset": { + "1m": "अन्तिम १ मिनेट", + "5m": "अन्तिम ५ मिनेट", + "timeline": "टाइमलाइनबाट", + "custom": "अनुकूलन" + }, + "startButton": "रिप्ले सुरु गर्नुहोस्", + "selectFromTimeline": "चयन गर्नुहोस्", + "starting": "रिप्ले सुरु गर्दै..." + } +} diff --git a/web/public/locales/ne/views/search.json b/web/public/locales/ne/views/search.json new file mode 100644 index 0000000000..185843f08a --- /dev/null +++ b/web/public/locales/ne/views/search.json @@ -0,0 +1,22 @@ +{ + "search": "खोज्नुहोस्", + "savedSearches": "सुरक्षित गरिएका खोजहरू", + "searchFor": "खोज्नुहोस् {{inputValue}}", + "button": { + "clear": "खोज खाली गर्नुहोस्", + "save": "खोज बचत गर्नुहोस्", + "delete": "सुरक्षित गरिएको खोज मेटाउनुहोस्", + "filterInformation": "फिल्टर जानकारी", + "filterActive": "फिल्टरहरू सक्रिय छन्" + }, + "trackedObjectId": "ट्र्याक गरिएको वस्तु ID", + "filter": { + "label": { + "cameras": "क्यामेराहरू", + "labels": "लेबलहरू", + "zones": "क्षेत्रहरू", + "sub_labels": "उप लेबलहरू", + "attributes": "विशेषताहरू" + } + } +} diff --git a/web/public/locales/ne/views/settings.json b/web/public/locales/ne/views/settings.json new file mode 100644 index 0000000000..0ce812e838 --- /dev/null +++ b/web/public/locales/ne/views/settings.json @@ -0,0 +1,17 @@ +{ + "documentTitle": { + "default": "सेटिङहरू - फ्रिगेट", + "authentication": "प्रमाणीकरण सेटिङहरू - फ्रिगेट", + "cameraManagement": "क्यामेराहरू व्यवस्थापन गर्नुहोस् - फ्रिगेट", + "cameraReview": "क्यामेरा समीक्षा सेटिङहरू - फ्रिगेट", + "enrichments": "संवर्धन सेटिङहरू - फ्रिगेट", + "masksAndZones": "मास्क र जोन सम्पादक - फ्रिगेट", + "motionTuner": "मोशन ट्युनर - फ्रिगेट", + "object": "डिबग - फ्रिगेट", + "general": "UI सेटिङहरू - फ्रिगेट", + "globalConfig": "विश्वव्यापी कन्फिगरेसन - फ्रिगेट", + "cameraConfig": "क्यामेरा कन्फिगरेसन - फ्रिगेट", + "frigatePlus": "फ्रिगेट+ सेटिङहरू - फ्रिगेट", + "notifications": "सूचना सेटिङहरू - फ्रिगेट" + } +} diff --git a/web/public/locales/ne/views/system.json b/web/public/locales/ne/views/system.json new file mode 100644 index 0000000000..e399283e5f --- /dev/null +++ b/web/public/locales/ne/views/system.json @@ -0,0 +1,24 @@ +{ + "documentTitle": { + "cameras": "क्यामेरा तथ्याङ्क - फ्रिगेट", + "storage": "भण्डारण तथ्याङ्क - फ्रिगेट", + "general": "सामान्य तथ्याङ्क - फ्रिगेट", + "enrichments": "संवर्धन तथ्याङ्क - फ्रिगेट", + "logs": { + "frigate": "फ्रिगेट लगहरू - फ्रिगेट", + "go2rtc": "Go2RTC लगहरू - फ्रिगेट", + "nginx": "Nginx लगहरू - फ्रिगेट", + "websocket": "सन्देश लगहरू - फ्रिगेट" + } + }, + "title": "प्रणाली", + "metrics": "प्रणाली मेट्रिक्स", + "logs": { + "websocket": { + "label": "सन्देशहरू", + "pause": "पज गर्नुहोस्", + "resume": "पुनःसुरु गर्नुहोस्", + "clear": "खाली गर्नुहोस्" + } + } +} diff --git a/web/public/locales/nl/components/player.json b/web/public/locales/nl/components/player.json index ff0dd10655..7ec53a0f1f 100644 --- a/web/public/locales/nl/components/player.json +++ b/web/public/locales/nl/components/player.json @@ -30,7 +30,8 @@ }, "submitFrigatePlus": { "title": "Dit frame indienen bij Frigate+?", - "submit": "Indienen" + "submit": "Indienen", + "previewError": "Het was niet mogelijk om de snapshot preview te laden. De opname is mogelijk niet beschikbaar op dit moment." }, "streamOffline": { "title": "Stream is Offline", diff --git a/web/public/locales/nl/config/cameras.json b/web/public/locales/nl/config/cameras.json index 96b78e382f..a70df21343 100644 --- a/web/public/locales/nl/config/cameras.json +++ b/web/public/locales/nl/config/cameras.json @@ -13,7 +13,7 @@ "description": "Geactiveerd" }, "audio": { - "label": "Audiogebeurtenissen", + "label": "Geluiddetectie", "description": "Audio-instellingen voor gebeurtenisdetectie van deze camera.", "enabled": { "label": "Geluiddetectie inschakelen", @@ -21,19 +21,23 @@ }, "max_not_heard": { "label": "Einde timeout", - "description": "Hoeveelheid secondes zonder de geconfigureerde audio soort, voordat de geluids gebeurtenis is beindigd." + "description": "Aantal seconden zonder het geconfigureerde audiotype, voordat de geluidsgebeurtenis is beëindigd." }, "min_volume": { - "label": "Minimale volume", - "description": "Minimale RMS-volumedrempel die nodig is om audiodetectie te starten; Hoe lager de waarde, hoe gevoeliger de detectie (bijvoorbeeld, 200 hoog, 500 gemiddeld, 1000 laag)." + "label": "Minimumvolume", + "description": "Minimale RMS-volumedrempel die nodig is om audiodetectie te starten; hoe lager de waarde, hoe gevoeliger de detectie (bijvoorbeeld, 200 hoog, 500 gemiddeld, 1000 laag)." }, "listen": { "label": "Luistercategorieën", "description": "Lijst van luistercategorie gebeurtenissen voor detectie (zoals: blaffen, band_alarm, schreeuw, praten, roepen)." }, "filters": { - "label": "Geluids filters", - "description": "Instellingen per audiotype, waaronder betrouwbaarheidsdrempels, ter vermindering van foutieve detecties." + "label": "Geluidsfilters", + "description": "Instellingen per audiotype, waaronder betrouwbaarheidsdrempels, ter vermindering van foutieve detecties.", + "threshold": { + "label": "Minimale audiobetrouwbaarheid", + "description": "Minimale betrouwbaarheidsdrempel voor de audiogebeurtenis om te worden geteld." + } }, "enabled_in_config": { "label": "Originele audio-instelling", @@ -45,7 +49,7 @@ } }, "audio_transcription": { - "label": "Audio‑transcriptie", + "label": "Audiotranscriptie", "description": "Instellingen voor live en spraakgestuurde audiotranscriptie voor gebeurtenissen en live ondertitels.", "enabled": { "label": "Spraaktranscriptie inschakelen", @@ -60,14 +64,14 @@ } }, "birdseye": { - "label": "Overzichtsweergave", + "label": "Birdseye-overzicht", "description": "Instellingen voor de overzichtsweergave die meerdere camerafeeds combineert tot één lay‑out.", "enabled": { - "label": "Activeer overzichtsweergave", + "label": "Birdseye-overzicht inschakelen", "description": "De overzichtsweergavefunctie in- of uitschakelen." }, "mode": { - "label": "Volgmodus", + "label": "Weergavemodus", "description": "Modus voor het opnemen van camera’s in overzichtsweergave: ‘objecten’, ‘beweging’ of ‘continu’." }, "order": { @@ -76,18 +80,18 @@ } }, "detect": { - "label": "Detectie object", + "label": "Objectdetectie", "description": "Instellingen voor de detectierol om objecten te detecteren en trackers te starten.", "enabled": { - "label": "Detectie aan", + "label": "Detectie inschakelen", "description": "Objectdetectie voor deze camera in- of uitschakelen. Detectie moet zijn ingeschakeld om objecttracking te laten werken." }, "height": { - "label": "Detectie hoogte", + "label": "Detectiehoogte", "description": "De hoogte in pixels van frames voor de detectiestream. Laat dit veld leeg om de standaardresolutie te gebruiken." }, "width": { - "label": "Detectie breedte", + "label": "Detectiebreedte", "description": "De breedte in pixels van frames voor de detectiestream. Laat dit veld leeg om de standaardresolutie te gebruiken." }, "fps": { @@ -121,10 +125,18 @@ "description": "Standaardlimiet voor het aantal frames dat een stilstaand object wordt gevolgd voordat wordt gestopt." }, "objects": { - "label": "Object‑maximum aantal frames", - "description": "Per‑object overschrijden voor het maximum aantal frames voor tracking van stationaire objecten." + "label": "Maximaal aantal frames per object", + "description": "Maximum aantal frames per object bij het volgen van stilstaande objecten." } + }, + "classifier": { + "label": "Visuele classifier inschakelen", + "description": "Gebruik een visuele classifier om echt stilstaande objecten te detecteren, zelfs wanneer detectiekaders licht verschuiven." } + }, + "annotation_offset": { + "label": "Annotatie-offset", + "description": "Milliseconden om detectieannotaties te verschuiven voor betere uitlijning van tijdlijn-detectiekaders met opnames; kan positief of negatief zijn." } }, "profiles": { @@ -148,5 +160,663 @@ "label": "Minimale oppervlakte van het object" } } + }, + "mqtt": { + "label": "MQTT" + }, + "notifications": { + "label": "Meldingen", + "enabled": { + "label": "Meldingen inschakelen" + }, + "email": { + "label": "Melding email", + "description": "E-mailadres voor pushmeldingen of vereist door bepaalde meldingsproviders." + }, + "cooldown": { + "label": "Wachttijd", + "description": "Wachttijd (seconden) tussen meldingen om spammen te voorkomen." + }, + "enabled_in_config": { + "label": "Originele meldingsstatus", + "description": "Geeft aan of meldingen waren ingeschakeld in de originele statische configuratie." + } + }, + "ffmpeg": { + "label": "FFmpeg", + "description": "FFmpeg-instellingen inclusief binaire pad, argumenten, hardwareversnellingsopties en uitvoerargumenten per rol.", + "path": { + "label": "FFmpeg-pad", + "description": "Pad naar het te gebruiken FFmpeg-binaire bestand of een versie-alias (\"5.0\" of \"7.0\")." + }, + "global_args": { + "label": "FFmpeg globale argumenten", + "description": "Globale argumenten voor FFmpeg-processen." + }, + "hwaccel_args": { + "label": "Hardwareversnellingsargumenten", + "description": "Hardwareversnellingsargumenten voor FFmpeg. Provider-specifieke presets worden aanbevolen." + }, + "input_args": { + "label": "Invoerargumenten", + "description": "Invoerargumenten voor FFmpeg-invoerstromen." + }, + "output_args": { + "label": "Uitvoerargumenten", + "description": "Standaard uitvoerargumenten voor verschillende FFmpeg-rollen zoals detectie en opname.", + "detect": { + "label": "Uitvoerargumenten voor detectie", + "description": "Standaard uitvoerargumenten voor streams met detectierol." + }, + "record": { + "label": "Uitvoerargumenten voor opname", + "description": "Standaard uitvoerargumenten voor streams met opnamerol." + } + }, + "retry_interval": { + "label": "FFmpeg-herverbindingstijd", + "description": "Seconden wachten voor een herverbindingspoging na een mislukte camerastream. Standaard is 10." + }, + "apple_compatibility": { + "label": "Apple-compatibiliteit", + "description": "HEVC-tagging inschakelen voor betere Apple-spelercompatibiliteit bij het opnemen van H.265." + }, + "gpu": { + "label": "GPU-index", + "description": "Standaard GPU-index voor hardwareversnelling indien beschikbaar." + }, + "inputs": { + "label": "Camera-invoer", + "description": "Lijst van invoerstream-definities (paden en rollen) voor deze camera.", + "path": { + "label": "Invoerpad", + "description": "URL of pad van de camera-invoerstroom." + }, + "roles": { + "label": "Invoerrollen", + "description": "Rollen voor deze invoerstroom." + }, + "global_args": { + "label": "FFmpeg globale argumenten", + "description": "FFmpeg globale argumenten voor deze invoerstroom." + }, + "hwaccel_args": { + "label": "Hardwareversnellingsargumenten", + "description": "Hardwareversnellingsargumenten voor deze invoerstroom." + }, + "input_args": { + "label": "Invoerargumenten", + "description": "Invoerargumenten specifiek voor deze stream." + } + } + }, + "live": { + "label": "Live weergave", + "streams": { + "label": "Live streamnamen", + "description": "Koppeling van geconfigureerde streamnamen aan restream/go2rtc-namen voor live weergave." + }, + "height": { + "label": "Live hoogte", + "description": "Hoogte (pixels) voor weergave van de jsmpeg-livestream in de webinterface; moet ≤ hoogte van de detectiestream zijn." + }, + "quality": { + "label": "Live kwaliteit", + "description": "Coderingskwaliteit voor de jsmpeg-stream (1 hoogste, 31 laagste)." + } + }, + "motion": { + "label": "Bewegingsdetectie", + "enabled": { + "label": "Bewegingsdetectie inschakelen" + }, + "threshold": { + "label": "Bewegingsdrempel", + "description": "Pixelverschildrempel voor de bewegingsdetector; hogere waarden verminderen de gevoeligheid (bereik 1-255)." + }, + "lightning_threshold": { + "label": "Bliksemdrempel", + "description": "Drempel om korte lichtflitsen te detecteren en te negeren (lager is gevoeliger, waarden tussen 0,3 en 1,0). Dit voorkomt bewegingsdetectie niet volledig; het zorgt er alleen voor dat de detector stopt met het analyseren van extra frames zodra de drempel wordt overschreden. Op beweging gebaseerde opnames worden tijdens deze gebeurtenissen nog steeds aangemaakt." + }, + "skip_motion_threshold": { + "label": "Drempel voor overgeslagen beweging", + "description": "Als ingesteld op een waarde tussen 0,0 en 1,0, en meer dan dit deel van het beeld verandert in één frame, geeft de detector geen bewegingsvakken terug en kalibreert hij direct opnieuw. Dit bespaart CPU en vermindert vals-positieven bij bliksem, stormen e.d., maar kan echte gebeurtenissen zoals PTZ-tracking missen. De afweging is tussen het weggooien van enkele megabytes opnames versus het bekijken van een paar korte clips. Leeg laten (None) om deze functie uit te schakelen." + }, + "improve_contrast": { + "label": "Contrast verbeteren", + "description": "Contrastverbetering op frames toepassen vóór bewegingsanalyse om detectie te verbeteren." + }, + "contour_area": { + "label": "Contouroppervlakte", + "description": "Minimale contouroppervlakte in pixels voor een bewegingscontour om te worden geteld." + }, + "delta_alpha": { + "label": "Delta-alfa", + "description": "Alpha-mengfactor voor frameverschil bij bewegingsberekening." + }, + "frame_alpha": { + "label": "Frame-alfa", + "description": "Alpha-waarde voor het mengen van frames bij bewegingsvoorverwerking." + }, + "frame_height": { + "label": "Framehoogte", + "description": "Hoogte in pixels waarnaar frames worden geschaald bij het berekenen van beweging." + }, + "mask": { + "label": "Maskercoördinaten", + "description": "Geordende x,y-coördinaten die het bewegingsmaskeerpolygoon definiëren voor het in- of uitsluiten van gebieden." + }, + "mqtt_off_delay": { + "label": "MQTT uit-vertraging", + "description": "Seconden wachten na de laatste beweging vóór publicatie van een MQTT 'off'-status." + }, + "enabled_in_config": { + "label": "Originele bewegingsstatus", + "description": "Geeft aan of bewegingsdetectie was ingeschakeld in de originele statische configuratie." + }, + "raw_mask": { + "label": "Onbewerkt masker" + } + }, + "objects": { + "label": "Objecten", + "description": "Standaardinstellingen voor objectvolging, inclusief te volgen labels en per-object filters.", + "track": { + "label": "Te volgen objecten" + }, + "filters": { + "label": "Objectfilters", + "description": "Filters op gedetecteerde objecten om vals-positieven te verminderen (oppervlakte, verhouding, betrouwbaarheid).", + "min_area": { + "label": "Minimale objectoppervlakte", + "description": "Minimale detectiekaderoppervlakte (pixels of percentage) voor dit objecttype. Kan pixels (int) of percentage (float tussen 0,000001 en 0,99) zijn." + }, + "max_area": { + "label": "Maximale objectoppervlakte", + "description": "Maximale detectiekaderoppervlakte (pixels of percentage) voor dit objecttype. Kan pixels (int) of percentage (float tussen 0,000001 en 0,99) zijn." + }, + "min_ratio": { + "label": "Minimale beeldverhouding", + "description": "Minimale breedte/hoogte-verhouding voor het detectiekader om te kwalificeren." + }, + "max_ratio": { + "label": "Maximale beeldverhouding", + "description": "Maximale breedte/hoogte-verhouding voor het detectiekader om te kwalificeren." + }, + "threshold": { + "label": "Betrouwbaarheidsdrempel", + "description": "Gemiddelde detectiebetrouwbaarheidsdrempel om een object als terecht positief te beschouwen." + }, + "min_score": { + "label": "Minimale betrouwbaarheid", + "description": "Minimale detectiebetrouwbaarheid in één frame om het object te tellen." + }, + "mask": { + "label": "Filtermasker", + "description": "Polygooncoördinaten die aangeven waar dit filter van toepassing is in het frame." + }, + "raw_mask": { + "label": "Onbewerkt masker" + } + }, + "mask": { + "label": "Objectmasker", + "description": "Maskeerpolygoon om objectdetectie in bepaalde gebieden te voorkomen." + }, + "raw_mask": { + "label": "Onbewerkt masker" + }, + "genai": { + "label": "GenAI-objectconfiguratie", + "description": "GenAI-opties voor het beschrijven van gevolgde objecten en het versturen van frames voor generatie.", + "enabled": { + "label": "GenAI inschakelen", + "description": "GenAI-beschrijvingen voor gevolgde objecten standaard inschakelen." + }, + "use_snapshot": { + "label": "Snapshots gebruiken", + "description": "Objectsnapshots gebruiken in plaats van miniaturen voor GenAI-beschrijving." + }, + "prompt": { + "label": "Bijschriftprompt", + "description": "Standaard promptsjabloon voor het genereren van beschrijvingen met GenAI." + }, + "object_prompts": { + "label": "Objectprompts", + "description": "Prompts per object voor het aanpassen van GenAI-uitvoer voor specifieke labels." + }, + "objects": { + "label": "GenAI-objecten", + "description": "Lijst van objectlabels die standaard naar GenAI worden gestuurd." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die objecten moeten betreden om in aanmerking te komen voor GenAI-beschrijving." + }, + "debug_save_thumbnails": { + "label": "Snapshots opslaan", + "description": "Snapshots die naar GenAI worden gestuurd opslaan voor foutopsporing." + }, + "send_triggers": { + "label": "GenAI-triggers", + "description": "Bepaalt wanneer frames naar GenAI worden gestuurd (bij einde, na updates, enz.).", + "tracked_object_end": { + "label": "Sturen bij beëindiging", + "description": "Een verzoek naar GenAI sturen wanneer het gevolgde object eindigt." + }, + "after_significant_updates": { + "label": "Vroege GenAI-trigger", + "description": "Een verzoek naar GenAI sturen na een bepaald aantal significante updates voor het gevolgde object." + } + }, + "enabled_in_config": { + "label": "Originele GenAI-status", + "description": "Geeft aan of GenAI was ingeschakeld in de originele statische configuratie." + } + } + }, + "record": { + "label": "Opname", + "enabled": { + "label": "Opname inschakelen" + }, + "expire_interval": { + "label": "Opruiminterval opnames", + "description": "Minuten tussen opruimrondes die verlopen opnamesegmenten verwijderen." + }, + "continuous": { + "label": "Continue bewaring", + "description": "Aantal dagen om opnames te bewaren ongeacht gevolgde objecten of beweging. Stel 0 in om alleen opnames van meldingen en detecties te bewaren.", + "days": { + "label": "Bewaardagen", + "description": "Dagen om opnames te bewaren." + } + }, + "motion": { + "label": "Bewegingsretentie", + "description": "Aantal dagen om opnames veroorzaakt door beweging te bewaren, ongeacht gevolgde objecten. Stel 0 in om alleen opnames van meldingen en detecties te bewaren.", + "days": { + "label": "Bewaardagen", + "description": "Dagen om opnames te bewaren." + } + }, + "detections": { + "label": "Detectieretentie", + "description": "Opname-retentie-instellingen voor detectiegebeurtenissen inclusief pre/post-captureduur.", + "pre_capture": { + "label": "Seconden vóór opname", + "description": "Aantal seconden vóór de detectiegebeurtenis om op te nemen in de opname." + }, + "post_capture": { + "label": "Seconden na opname", + "description": "Aantal seconden na de detectiegebeurtenis om op te nemen in de opname." + }, + "retain": { + "label": "Gebeurtenisbewaring", + "description": "Bewaarinstellingen voor opnames van detectiegebeurtenissen.", + "days": { + "label": "Bewaardagen", + "description": "Aantal dagen om opnames van detectiegebeurtenissen te bewaren." + }, + "mode": { + "label": "Bewaarmodus", + "description": "Bewaarmodus: all (alle segmenten), motion (segmenten met beweging) of active_objects (segmenten met actieve objecten)." + } + } + }, + "alerts": { + "label": "Meldingsbewaring", + "description": "Opname-retentie-instellingen voor alertgebeurtenissen inclusief pre/post-captureduur.", + "pre_capture": { + "label": "Seconden vóór opname", + "description": "Aantal seconden vóór de detectiegebeurtenis om op te nemen in de opname." + }, + "post_capture": { + "label": "Seconden na opname", + "description": "Aantal seconden na de detectiegebeurtenis om op te nemen in de opname." + }, + "retain": { + "label": "Gebeurtenisbewaring", + "description": "Bewaarinstellingen voor opnames van detectiegebeurtenissen.", + "days": { + "label": "Bewaardagen", + "description": "Aantal dagen om opnames van detectiegebeurtenissen te bewaren." + }, + "mode": { + "label": "Bewaarmodus", + "description": "Bewaarmodus: all (alle segmenten), motion (segmenten met beweging) of active_objects (segmenten met actieve objecten)." + } + } + }, + "export": { + "label": "Exportconfiguratie", + "description": "Instellingen voor het exporteren van opnames, zoals timelapse en hardwareversnelling.", + "hwaccel_args": { + "label": "Hardwareversnellingsargumenten voor export", + "description": "Hardwareversnellingsargumenten voor export/transcodering." + }, + "max_concurrent": { + "label": "Maximaal aantal gelijktijdige exports", + "description": "Maximum aantal exporttaken dat tegelijk wordt verwerkt." + } + }, + "preview": { + "label": "Voorbeeldconfiguratie", + "description": "Instellingen voor de kwaliteit van opnamevoorbeelden in de UI.", + "quality": { + "label": "Voorbeeldkwaliteit", + "description": "Kwaliteitsniveau voor voorbeelden (very_low, low, medium, high, very_high)." + } + }, + "enabled_in_config": { + "label": "Originele opnamestatus", + "description": "Geeft aan of opname was ingeschakeld in de originele statische configuratie." + } + }, + "review": { + "label": "Beoordeling", + "alerts": { + "label": "Meldingsconfiguratie", + "description": "Instellingen voor welke gevolgde objecten alerts genereren en hoe alerts worden bewaard.", + "enabled": { + "label": "Alerts inschakelen" + }, + "labels": { + "label": "Meldingslabels", + "description": "Lijst met objectlabels die kwalificeren als meldingen (bijv. auto, persoon)." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die een object moet betreden om als melding te worden beschouwd; leeg laten voor elke zone." + }, + "enabled_in_config": { + "label": "Originele meldingsstatus", + "description": "Geeft aan of meldingen oorspronkelijk waren ingeschakeld in de statische configuratie." + }, + "cutoff_time": { + "label": "Afsluitingstijd meldingen", + "description": "Seconden wachten na het uitblijven van melding veroorzakende activiteit voordat een melding wordt afgesloten." + } + }, + "detections": { + "label": "Detectieconfiguratie", + "description": "Instellingen voor welke gevolgde objecten detecties genereren en hoe detecties worden bewaard.", + "enabled": { + "label": "Detecties inschakelen" + }, + "labels": { + "label": "Detectielabels", + "description": "Lijst met objectlabels die kwalificeren als detectiegebeurtenissen." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die een object moet betreden om als detectie te worden beschouwd; leeg laten voor elke zone." + }, + "cutoff_time": { + "label": "Afsluitingstijd detecties", + "description": "Seconden wachten na het uitblijven van detectie veroorzakende activiteit voordat een detectie wordt afgesloten." + }, + "enabled_in_config": { + "label": "Originele detectiestatus", + "description": "Geeft aan of detecties oorspronkelijk waren ingeschakeld in de statische configuratie." + } + }, + "genai": { + "label": "GenAI-configuratie", + "description": "Beheert het gebruik van generatieve AI voor het produceren van beschrijvingen en samenvattingen van beoordelingsitems.", + "enabled": { + "label": "GenAI-beschrijvingen inschakelen", + "description": "Door GenAI gegenereerde beschrijvingen en samenvattingen voor beoordelingsitems in- of uitschakelen." + }, + "alerts": { + "label": "GenAI inschakelen voor meldingen", + "description": "GenAI gebruiken voor het genereren van beschrijvingen bij meldingsitems." + }, + "detections": { + "label": "GenAI inschakelen voor detecties", + "description": "GenAI gebruiken voor het genereren van beschrijvingen bij detectiebeoordelingen." + }, + "image_source": { + "label": "Afbeeldingsbron voor beoordeling", + "description": "Bron van afbeeldingen naar GenAI ('preview' of 'recordings'); 'recordings' gebruikt hogere kwaliteit maar meer tokens." + }, + "additional_concerns": { + "label": "Aanvullende aandachtspunten", + "description": "Een lijst met aanvullende aandachtspunten die GenAI moet meenemen bij het beoordelen van activiteit op deze camera." + }, + "debug_save_thumbnails": { + "label": "Snapshots opslaan", + "description": "Snapshots die naar de GenAI-provider worden gestuurd opslaan voor foutopsporing." + }, + "enabled_in_config": { + "label": "Originele GenAI-status", + "description": "Geeft aan of GenAI-beoordeling oorspronkelijk was ingeschakeld in de statische configuratie." + }, + "preferred_language": { + "label": "Voorkeurstaal", + "description": "Voorkeurstaal voor gegenereerde antwoorden van de GenAI-provider." + }, + "activity_context_prompt": { + "label": "Activiteitscontextprompt", + "description": "Aangepaste prompt die beschrijft wat wel en niet verdachte activiteit is, als context voor GenAI-samenvattingen." + } + } + }, + "snapshots": { + "label": "Snapshots", + "enabled": { + "label": "Snapshots inschakelen" + }, + "timestamp": { + "label": "Tijdstempel-overlay", + "description": "Een tijdstempel op API-snapshots weergeven." + }, + "bounding_box": { + "label": "Detectiekader-overlay", + "description": "Detectiekaders voor gevolgde objecten tekenen op API-snapshots." + }, + "crop": { + "label": "Snapshot bijsnijden", + "description": "API-snapshots bijsnijden tot het detectiekader van het gedetecteerde object." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die een object moet betreden voordat een snapshot wordt opgeslagen." + }, + "height": { + "label": "Snapshothoogte", + "description": "Hoogte (pixels) om API-snapshots naar te schalen; leeg laten om de originele grootte te behouden." + }, + "retain": { + "label": "Snapshot-bewaring", + "description": "Bewaarinstellingen voor snapshots inclusief standaarddagen en per-object overschrijvingen.", + "default": { + "label": "Standaard retentie", + "description": "Standaard aantal dagen om snapshots te bewaren." + }, + "mode": { + "label": "Bewaarmodus", + "description": "Bewaarmodus: all (alle segmenten), motion (segmenten met beweging) of active_objects (segmenten met actieve objecten)." + }, + "objects": { + "label": "Objectbewaring", + "description": "Objectspecifieke overschrijvingen voor het aantal bewaardagen van snapshots." + } + }, + "quality": { + "label": "Snapshotkwaliteit", + "description": "Coderingskwaliteit voor opgeslagen snapshots (0-100)." + } + }, + "timestamp_style": { + "label": "Tijdstempelstijl", + "position": { + "label": "Tijdstempelpositie", + "description": "Positie van de tijdstempel op de afbeelding (tl/tr/bl/br)." + }, + "format": { + "label": "Tijdstempelformaat", + "description": "Datumtijdformaatstring voor tijdstempels (Python datetime-formaatcodes)." + }, + "color": { + "label": "Tijdstempelkleur", + "description": "RGB-kleurwaarden voor de tijdstempeltekst (alle waarden 0-255).", + "red": { + "label": "Rood", + "description": "Roodcomponent (0-255) voor de tijdstempelkleur." + }, + "green": { + "label": "Groen", + "description": "Groencomponent (0-255) voor de tijdstempelkleur." + }, + "blue": { + "label": "Blauw", + "description": "Blauwcomponent (0-255) voor de tijdstempelkleur." + } + }, + "thickness": { + "label": "Tijdstempeldikte", + "description": "Lijndikte van de tijdstempeltekst." + }, + "effect": { + "label": "Tijdstempeleffect", + "description": "Visueel effect voor de tijdstempeltekst (geen, effen, schaduw)." + } + }, + "semantic_search": { + "label": "Semantisch zoeken", + "triggers": { + "label": "Triggers", + "description": "Acties en matchcriteria voor cameraspecifieke semantisch-zoeken-triggers.", + "friendly_name": { + "label": "Weergavenaam", + "description": "Optionele weergavenaam voor deze trigger in de UI." + }, + "enabled": { + "label": "Trigger inschakelen", + "description": "Deze semantisch-zoeken-trigger in- of uitschakelen." + }, + "type": { + "label": "Triggertype", + "description": "Type trigger: 'thumbnail' (vergelijk met afbeelding) of 'description' (vergelijk met tekst)." + }, + "data": { + "label": "Triggerinhoud", + "description": "Tekstzin of miniatuur-ID om te vergelijken met gevolgde objecten." + }, + "threshold": { + "label": "Triggerdrempel", + "description": "Minimale gelijkenisscore (0-1) om deze trigger te activeren." + }, + "actions": { + "label": "Triggeracties", + "description": "Lijst van uit te voeren acties bij triggermatch (melding, sub_label, attribuut)." + } + } + }, + "face_recognition": { + "label": "Gezichtsherkenning", + "enabled": { + "label": "Gezichtsherkenning inschakelen" + }, + "min_area": { + "label": "Minimale gezichtsoppervlakte", + "description": "Minimale oppervlakte (pixels) van een gedetecteerd gezichtskader om herkenning te proberen." + } + }, + "lpr": { + "label": "Kentekenherkenning", + "description": "Instellingen voor kentekenherkenning inclusief detectiedrempels, opmaak en bekende kentekens.", + "enabled": { + "label": "LPR inschakelen" + }, + "min_area": { + "label": "Minimale kentekenoppervlakte", + "description": "Minimale kentekenoppervlakte (pixels) om herkenning te proberen." + }, + "enhancement": { + "label": "Verbeteringsniveau", + "description": "Verbeteringsniveau (0-10) voor kentekenuitsneden vóór OCR; hogere waarden verbeteren niet altijd het resultaat; niveaus boven 5 werken mogelijk alleen voor nachtelijke kentekens en moeten voorzichtig worden gebruikt." + }, + "expire_time": { + "label": "Vervaltijd in seconden", + "description": "Tijd in seconden waarna een niet-gezien kenteken vervalt uit de tracker (alleen voor dedicated LPR-camera's)." + } + }, + "onvif": { + "label": "ONVIF", + "description": "ONVIF-verbindings- en PTZ-autovolgingsinstellingen voor deze camera.", + "host": { + "label": "ONVIF-host", + "description": "Host (en optioneel schema) voor de ONVIF-dienst van deze camera." + }, + "port": { + "label": "ONVIF-poort", + "description": "Poortnummer voor de ONVIF-dienst." + }, + "user": { + "label": "ONVIF-gebruikersnaam", + "description": "Gebruikersnaam voor ONVIF-authenticatie; sommige apparaten vereisen de admin-gebruiker voor ONVIF." + }, + "password": { + "label": "ONVIF-wachtwoord", + "description": "Wachtwoord voor ONVIF-authenticatie." + }, + "tls_insecure": { + "label": "TLS-verificatie uitschakelen", + "description": "TLS-verificatie overslaan en digest-authenticatie uitschakelen voor ONVIF (onveilig; alleen in veilige netwerken)." + }, + "profile": { + "label": "ONVIF-profiel", + "description": "Specifiek ONVIF-mediaprofiel voor PTZ-besturing, gekoppeld via token of naam. Indien niet ingesteld, wordt het eerste profiel met geldige PTZ-configuratie automatisch geselecteerd." + }, + "autotracking": { + "label": "Automatisch volgen", + "description": "Bewegende objecten automatisch volgen en gecentreerd houden in het beeld via PTZ-camerabewegingen.", + "enabled": { + "label": "Automatisch volgen inschakelen", + "description": "Automatisch PTZ-camera volgen van gedetecteerde objecten in- of uitschakelen." + }, + "calibrate_on_startup": { + "label": "Kalibreren bij opstarten", + "description": "PTZ-motorsnelheden meten bij opstarten voor nauwkeurigere volging. Frigate werkt de configuratie bij met movement_weights na kalibratie." + }, + "zooming": { + "label": "Zoommodus", + "description": "Zoomgedrag instellen: disabled (alleen pan/tilt), absolute (meest compatibel) of relative (gelijktijdig pan/tilt/zoom)." + }, + "zoom_factor": { + "label": "Zoomfactor", + "description": "Zoomniveau voor gevolgde objecten instellen. Lagere waarden tonen meer van de scène; hogere waarden zoomen verder in maar kunnen de volging verliezen. Waarden tussen 0,1 en 0,75." + }, + "track": { + "label": "Gevolgde objecten", + "description": "Lijst van objecttypen die automatisch volgen activeren." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Objecten moeten een van deze zones betreden voordat automatisch volgen begint." + }, + "return_preset": { + "label": "Terugkeer-voorinstelling", + "description": "ONVIF-voorkeuzeinstelling in de camerafirmware om naar terug te keren na het volgen." + }, + "timeout": { + "label": "Terugkeertimeout", + "description": "Dit aantal seconden wachten na het verliezen van de volging voordat de camera naar de voorkeuze-positie terugkeert." + }, + "movement_weights": { + "label": "Bewegingsgewichten", + "description": "Kalibratiewaarden automatisch gegenereerd door camerakalbratie. Niet handmatig aanpassen." + }, + "enabled_in_config": { + "label": "Originele autovolgstatus", + "description": "Intern veld om bij te houden of automatisch volgen was ingeschakeld in de configuratie." + } + }, + "ignore_time_mismatch": { + "label": "Tijdsverschil negeren", + "description": "Tijdsynchronisatieverschillen tussen camera en Frigate-server negeren voor ONVIF-communicatie." + } } } diff --git a/web/public/locales/nl/config/global.json b/web/public/locales/nl/config/global.json index adc9aa42d9..8943539c8a 100644 --- a/web/public/locales/nl/config/global.json +++ b/web/public/locales/nl/config/global.json @@ -1,24 +1,29 @@ { "audio": { - "label": "Audiogebeurtenissen", + "label": "Geluiddetectie", "enabled": { - "label": "Geluiddetectie inschakelen" + "label": "Geluiddetectie inschakelen", + "description": "Audioeventdetectie voor alle camera's in- of uitschakelen; kan per camera worden overschreven." }, "max_not_heard": { "label": "Einde timeout", - "description": "Hoeveelheid secondes zonder de geconfigureerde audio soort, voordat de geluids gebeurtenis is beindigd." + "description": "Aantal seconden zonder het geconfigureerde audiotype, voordat de geluidsgebeurtenis is beëindigd." }, "min_volume": { - "label": "Minimale volume", - "description": "Minimale RMS-volumedrempel die nodig is om audiodetectie te starten; Hoe lager de waarde, hoe gevoeliger de detectie (bijvoorbeeld, 200 hoog, 500 gemiddeld, 1000 laag)." + "label": "Minimumvolume", + "description": "Minimale RMS-volumedrempel die nodig is om audiodetectie te starten; hoe lager de waarde, hoe gevoeliger de detectie (bijvoorbeeld, 200 hoog, 500 gemiddeld, 1000 laag)." }, "listen": { "label": "Luistercategorieën", "description": "Lijst van luistercategorie gebeurtenissen voor detectie (zoals: blaffen, band_alarm, schreeuw, praten, roepen)." }, "filters": { - "label": "Geluids filters", - "description": "Instellingen per audiotype, waaronder betrouwbaarheidsdrempels, ter vermindering van foutieve detecties." + "label": "Geluidsfilters", + "description": "Instellingen per audiotype, waaronder betrouwbaarheidsdrempels, ter vermindering van foutieve detecties.", + "threshold": { + "label": "Minimale audiobetrouwbaarheid", + "description": "Minimale betrouwbaarheidsdrempel voor de audiogebeurtenis om te worden geteld." + } }, "enabled_in_config": { "label": "Originele audio-instelling", @@ -27,44 +32,98 @@ "num_threads": { "label": "Detectiethreads", "description": "Aantal threads voor audiodetectieverwerking." - } + }, + "description": "Instellingen voor audiogebaseerde gebeurtenisdetectie voor alle camera's; kan per camera worden overschreven." }, "audio_transcription": { - "label": "Audio‑transcriptie", + "label": "Audiotranscriptie", "description": "Instellingen voor live en spraakgestuurde audiotranscriptie voor gebeurtenissen en live ondertitels.", "live_enabled": { "label": "Live transcriptie", "description": "Live streaming‑transcriptie van audio inschakelen tijdens ontvangst." + }, + "enabled": { + "label": "Audiotranscriptie inschakelen", + "description": "Automatische audiotranscriptie voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "language": { + "label": "Transcriptietaal", + "description": "Taalcode voor transcriptie/vertaling (bijv. 'nl' voor Nederlands). Zie https://whisper-api.com/docs/languages/ voor ondersteunde taalcodes." + }, + "device": { + "label": "Transcriptieapparaat", + "description": "Apparaat (CPU/GPU) voor het uitvoeren van het transcriptiemodel. Momenteel worden alleen NVIDIA CUDA GPU's ondersteund voor transcriptie." + }, + "model_size": { + "label": "Modelgrootte", + "description": "Modelgrootte voor offline audiotranscriptie." } }, "birdseye": { - "label": "Overzichtsweergave", + "label": "Birdseye-overzicht", "description": "Instellingen voor de overzichtsweergave die meerdere camerafeeds combineert tot één lay‑out.", "enabled": { - "label": "Activeer overzichtsweergave", + "label": "Birdseye-overzicht inschakelen", "description": "De overzichtsweergavefunctie in- of uitschakelen." }, "mode": { - "label": "Volgmodus", + "label": "Weergavemodus", "description": "Modus voor het opnemen van camera’s in overzichtsweergave: ‘objecten’, ‘beweging’ of ‘continu’." }, "order": { "label": "Positie", "description": "Numerieke positie die de volgorde van de camera in de overzichtsweergave lay-out bepaalt." + }, + "restream": { + "label": "RTSP-herstreaming", + "description": "De Birdseye-uitvoer herstreamen als RTSP-feed; hierdoor blijft Birdseye continu actief." + }, + "width": { + "label": "Breedte", + "description": "Uitvoerbreedte (pixels) van het samengestelde Birdseye-frame." + }, + "height": { + "label": "Hoogte", + "description": "Uitvoerhoogte (pixels) van het samengestelde Birdseye-frame." + }, + "quality": { + "label": "Coderingskwaliteit", + "description": "Coderingskwaliteit van de Birdseye MPEG-1-feed (1 = hoogste kwaliteit, 31 = laagste)." + }, + "inactivity_threshold": { + "label": "Inactiviteitsdrempel", + "description": "Seconden inactiviteit waarna een camera niet meer in Birdseye wordt getoond." + }, + "layout": { + "label": "Lay-out", + "description": "Lay-outopties voor de Birdseye-samenstelling.", + "scaling_factor": { + "label": "Schaalfactor", + "description": "Schaalfactor voor de lay-outcalculator (bereik 1,0 tot 5,0)." + }, + "max_cameras": { + "label": "Maximum camera's", + "description": "Maximaal aantal camera's dat tegelijk in Birdseye wordt weergegeven; toont de meest recente camera's." + } + }, + "idle_heartbeat_fps": { + "label": "Inactief heartbeat-FPS", + "description": "Frames per seconde voor het opnieuw verzenden van het laatste Birdseye-frame tijdens inactiviteit; stel 0 in om uit te schakelen." } }, "detect": { - "label": "Detectie object", + "label": "Objectdetectie", "description": "Instellingen voor de detectierol om objecten te detecteren en trackers te starten.", "enabled": { - "label": "Detectie aan" + "label": "Detectie inschakelen", + "description": "Objectdetectie voor alle camera's in- of uitschakelen; kan per camera worden overschreven." }, "height": { - "label": "Detectie hoogte", + "label": "Detectiehoogte", "description": "De hoogte in pixels van frames voor de detectiestream. Laat dit veld leeg om de standaardresolutie te gebruiken." }, "width": { - "label": "Detectie breedte", + "label": "Detectiebreedte", "description": "De breedte in pixels van frames voor de detectiestream. Laat dit veld leeg om de standaardresolutie te gebruiken." }, "fps": { @@ -98,72 +157,1444 @@ "description": "Standaardlimiet voor het aantal frames dat een stilstaand object wordt gevolgd voordat wordt gestopt." }, "objects": { - "label": "Object‑maximum aantal frames", - "description": "Per‑object overschrijden voor het maximum aantal frames voor tracking van stationaire objecten." + "label": "Maximaal aantal frames per object", + "description": "Maximum aantal frames per object bij het volgen van stilstaande objecten." } + }, + "classifier": { + "label": "Visuele classifier inschakelen", + "description": "Gebruik een visuele classifier om echt stilstaande objecten te detecteren, zelfs wanneer detectiekaders licht verschuiven." } + }, + "annotation_offset": { + "label": "Annotatie-offset", + "description": "Milliseconden om detectieannotaties te verschuiven voor betere uitlijning van tijdlijn-detectiekaders met opnames; kan positief of negatief zijn." } }, "version": { "description": "Numerieke of string-versie van de actieve configuratie om migraties of formaatwijzigingen te helpen detecteren.", - "label": "Huidige configuratie versie" + "label": "Huidige config-versie" }, "safe_mode": { "label": "Veilige modus", - "description": "Wanneer ingeschakeld, start Frigate in veilige modus met verminderde functionaliteit voor probleemoplossing." + "description": "Wanneer ingeschakeld, start Frigate op in veilige modus met beperkte functies voor probleemoplossing." }, "environment_vars": { "label": "Omgevingsvariabelen", - "description": "Sleutel/waarde paren van omgevingsvariabelen voor het Frigate proces in Home Assistant OS. Niet-HAOS gebruikers moeten in plaats hiervan Docker omgevingsvariabelen gebruiken." + "description": "Sleutel/waarde-paren van omgevingsvariabelen die ingesteld worden voor het Frigate-proces in Home Assistant OS. Gebruikers zonder HAOS moeten in plaats daarvan de Docker-omgevingsvariabelenconfiguratie gebruiken." }, "auth": { "label": "Authenticatie", "enabled": { - "label": "Authenticatie aanzetten", + "label": "Authenticatie inschakelen", "description": "Schakel native authenticatie in voor de Frigate UI." }, "reset_admin_password": { - "label": "Reset admin wachtwoord", - "description": "Indien waar, reset het admin gebruiker wachtwoord tijdens opstarten en print het nieuwe wachtwoord in het logboek." + "label": "Adminwachtwoord resetten", + "description": "Indien waar, reset het wachtwoord van de admingebruiker tijdens opstarten en print het nieuwe wachtwoord in het logboek." }, - "description": "Authenticatie en sessie-gerelateerde instellingen inclusief cookie en tempo limiet opties.", + "description": "Authenticatie- en sessie-instellingen inclusief cookie- en snelheidsbeperkingsopties.", "cookie_name": { - "label": "JWT cookie naam", + "label": "JWT-cookienaam", "description": "Naam van de gebruikte cookie om de JWT token voor native authenticatie op te slaan." }, "cookie_secure": { - "label": "Veilige cookie instelling", + "label": "Secure-cookievlag", "description": "Stel de veilige instelling in op de auth cookie; moet waar zijn indien TLS in gebruik." }, "session_length": { - "label": "Sessie duratie", - "description": "Sessie duratie in seconden voor JWT-gebaseerde sessies." + "label": "Sessieduur", + "description": "Sessieduur in seconden voor JWT-gebaseerde sessies." }, "refresh_time": { - "label": "Sessie ververs scherm", - "description": "Als een sessie binnen dit aantal seconden verloopt, ververs het tot volledige duratie." + "label": "Sessie-verversperiode", + "description": "Als een sessie binnen dit aantal seconden verloopt, wordt de sessie verlengd tot de volledige duur." }, "failed_login_rate_limit": { - "label": "Gefaalde log-in pogingen", - "description": "Tempo-limiet regels voor gefaalde inlogpogingen om brute-force aanvallen te beperken." + "label": "Limieten voor mislukte inlogpogingen", + "description": "Rate-limitregels voor mislukte inlogpogingen om brute-forceaanvallen te beperken." }, "trusted_proxies": { - "label": "Vertrouwde proxies" + "label": "Vertrouwde proxies", + "description": "Lijst met vertrouwde proxy-IP's die worden gebruikt bij het bepalen van het client-IP voor rate limiting." + }, + "hash_iterations": { + "label": "Hash-iteraties", + "description": "Aantal PBKDF2-SHA256-iteraties voor het hashen van gebruikerswachtwoorden." + }, + "roles": { + "label": "Roltoewijzingen", + "description": "Koppel rollen aan cameralijsten. Een lege lijst geeft de rol toegang tot alle camera's." + }, + "admin_first_time_login": { + "label": "Eerste keer admin-vlag", + "description": "Wanneer ingeschakeld kan de UI een helplink tonen op de inlogpagina om gebruikers te informeren hoe ze kunnen inloggen na een admin-wachtwoordreset. " } }, "logger": { "default": { "label": "Loggingsniveau", - "description": "Standaard globale logboek detailniveau (debug, info, waarschuwing, fout)." + "description": "Standaard globale logdetailniveau (debug, info, warning, error)." }, "label": "Logging", "logs": { - "label": "Per-proces logboek niveau", - "description": "Per-component logboekniveau afwijkingen om detailniveau te vergroten of verkleinen per specifieke module." + "label": "Logboekniveau per proces", + "description": "Logboekniveau-afwijkingen per component om het detailniveau per specifieke module te verhogen of verlagen." }, - "description": "Beheert het standaard logboek detailniveau en afwijkende instellingen per logboek." + "description": "Beheert het standaard logdetailniveau en afwijkende instellingen per logboek." }, "profiles": { - "label": "Profielen" + "label": "Profielen", + "description": "Benoemde profieldefinities met weergavenamen. Cameraprofielen moeten verwijzen naar hier gedefinieerde namen.", + "friendly_name": { + "label": "Weergavenaam", + "description": "Weergavenaam voor dit profiel in de UI." + } + }, + "database": { + "label": "Database", + "description": "Instellingen voor de SQLite-database die Frigate gebruikt om gevolgde objecten en opname-metadata op te slaan.", + "path": { + "label": "Databasepad", + "description": "Bestandssysteempad waar het Frigate SQLite-databasebestand wordt opgeslagen." + } + }, + "go2rtc": { + "label": "go2rtc", + "description": "Instellingen voor de geïntegreerde go2rtc-restreaming-service voor het doorzenden en omzetten van live streams." + }, + "mqtt": { + "label": "MQTT", + "description": "Instellingen voor het verbinden met en publiceren van telemetrie, snapshots en gebeurtenisdetails naar een MQTT-broker.", + "enabled": { + "label": "MQTT inschakelen", + "description": "MQTT-integratie voor status, gebeurtenissen en snapshots in- of uitschakelen." + }, + "host": { + "label": "MQTT-host", + "description": "Hostnaam of IP-adres van de MQTT-broker." + }, + "port": { + "label": "MQTT-poort", + "description": "Poort van de MQTT-broker (gewoonlijk 1883 voor gewoon MQTT)." + }, + "topic_prefix": { + "label": "Topic-prefix", + "description": "MQTT-topic-prefix voor alle Frigate-topics; moet uniek zijn bij meerdere instanties." + }, + "client_id": { + "label": "Client-ID", + "description": "Client-ID voor verbinding met de MQTT-broker; moet uniek zijn per instantie." + }, + "stats_interval": { + "label": "Statistiekeninterval", + "description": "Interval in seconden voor het publiceren van systeem- en camerastatistieken naar MQTT." + }, + "user": { + "label": "MQTT-gebruikersnaam", + "description": "Optionele MQTT-gebruikersnaam; kan via omgevingsvariabelen of secrets worden opgegeven." + }, + "password": { + "label": "MQTT-wachtwoord", + "description": "Optioneel MQTT-wachtwoord; kan via omgevingsvariabelen of secrets worden opgegeven." + }, + "tls_ca_certs": { + "label": "TLS CA-certificaten", + "description": "Pad naar het CA-certificaat voor TLS-verbindingen met de broker (voor zelfondertekende certificaten)." + }, + "tls_client_cert": { + "label": "Clientcertificaat", + "description": "Pad naar het clientcertificaat voor wederzijdse TLS-authenticatie; stel geen gebruiker/wachtwoord in bij gebruik van clientcertificaten." + }, + "tls_client_key": { + "label": "Clientsleutel", + "description": "Pad naar de privésleutel van het clientcertificaat." + }, + "tls_insecure": { + "label": "Onveilige TLS", + "description": "Onveilige TLS-verbindingen toestaan door hostnaamverificatie over te slaan (niet aanbevolen)." + }, + "qos": { + "label": "MQTT QoS-niveau", + "description": "QoS-niveau voor MQTT-publicaties/abonnementen (0, 1 of 2)." + } + }, + "notifications": { + "label": "Meldingen", + "description": "Instellingen om meldingen voor alle camera's in te schakelen en te beheren; kan per camera worden overschreven.", + "enabled": { + "label": "Meldingen inschakelen", + "description": "Meldingen voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "email": { + "label": "Melding email", + "description": "E-mailadres voor pushmeldingen of vereist door bepaalde meldingsproviders." + }, + "cooldown": { + "label": "Wachttijd", + "description": "Wachttijd (seconden) tussen meldingen om spammen te voorkomen." + }, + "enabled_in_config": { + "label": "Originele meldingsstatus", + "description": "Geeft aan of meldingen waren ingeschakeld in de originele statische configuratie." + } + }, + "networking": { + "label": "Netwerken", + "description": "Netwerkinstellingen zoals IPv6-ondersteuning voor Frigate-eindpunten.", + "ipv6": { + "label": "IPv6-configuratie", + "description": "IPv6-instellingen voor Frigate-netwerkdiensten.", + "enabled": { + "label": "IPv6 inschakelen", + "description": "IPv6-ondersteuning voor Frigate-diensten (API en UI) inschakelen waar van toepassing." + } + }, + "listen": { + "label": "Luisterpoortenconfiguratie", + "description": "Configuratie van interne en externe luisterpoorten. Dit is voor gevorderde gebruikers. In de meeste gevallen wordt aanbevolen de poortensectie in het Docker Compose-bestand aan te passen.", + "internal": { + "label": "Interne poort", + "description": "Interne luisterpoort voor Frigate (standaard 5000)." + }, + "external": { + "label": "Externe poort", + "description": "Externe luisterpoort voor Frigate (standaard 8971)." + } + } + }, + "proxy": { + "label": "Proxy", + "description": "Instellingen voor het integreren van Frigate achter een reverse proxy die geauthenticeerde gebruikersheaders doorgeeft.", + "header_map": { + "label": "Headertoewijzing", + "description": "Inkomende proxyheaders koppelen aan Frigate gebruikers- en rolvelden voor proxy-authenticatie.", + "user": { + "label": "Gebruikersheader", + "description": "Header met de geauthenticeerde gebruikersnaam van de upstream-proxy." + }, + "role": { + "label": "Rolheader", + "description": "Header met de rol of groepen van de geauthenticeerde gebruiker van de upstream-proxy." + }, + "role_map": { + "label": "Roltoewijzing", + "description": "Koppel upstream-groepswaarden aan Frigate-rollen (bijv. admingroepen aan de adminrol)." + } + }, + "logout_url": { + "label": "Uitlog-URL", + "description": "URL waarnaar gebruikers worden doorgestuurd bij uitloggen via de proxy." + }, + "auth_secret": { + "label": "Proxygeheim", + "description": "Optioneel geheim dat wordt gecontroleerd tegen de X-Proxy-Secret-header om vertrouwde proxies te verifiëren." + }, + "default_role": { + "label": "Standaardrol", + "description": "Standaardrol toegewezen aan proxy-geauthenticeerde gebruikers wanneer geen roltoewijzing van toepassing is (admin of viewer)." + }, + "separator": { + "label": "Scheidingsteken", + "description": "Scheidingsteken voor meerdere waarden in proxyheaders." + } + }, + "telemetry": { + "label": "Telemetrie", + "description": "Opties voor systeemtelemetrie en statistieken, inclusief GPU- en netwerkbandbreedtebewaking.", + "network_interfaces": { + "label": "Netwerkinterfaces", + "description": "Lijst met netwerkinterfacenaamprefixen voor bandbreedtestatistieken." + }, + "stats": { + "label": "Systeemstatistieken", + "description": "Opties voor het in- of uitschakelen van het verzamelen van systeem- en GPU-statistieken.", + "amd_gpu_stats": { + "label": "AMD GPU-statistieken", + "description": "Verzameling van AMD GPU-statistieken inschakelen indien een AMD GPU aanwezig is." + }, + "intel_gpu_stats": { + "label": "Intel GPU-statistieken", + "description": "Verzameling van Intel GPU-statistieken inschakelen indien een Intel GPU aanwezig is." + }, + "network_bandwidth": { + "label": "Netwerkbandbreedte", + "description": "Per-proces netwerkbandbreedtebewaking voor camera-ffmpeg-processen en detectoren inschakelen (vereist Linux-capabilities)." + }, + "intel_gpu_device": { + "label": "Intel GPU-apparaat", + "description": "PCI-busadres of DRM-apparaatpad (bijv. /dev/dri/card1) om Intel GPU-statistieken aan een specifiek apparaat te koppelen bij meerdere GPU's." + } + }, + "version_check": { + "label": "Versiecontrole", + "description": "Een uitgaande controle inschakelen om te detecteren of een nieuwere Frigate-versie beschikbaar is." + } + }, + "tls": { + "label": "TLS", + "description": "TLS-instellingen voor de Frigate-webservice (poort 8971).", + "enabled": { + "label": "TLS inschakelen", + "description": "TLS inschakelen voor de Frigate-webinterface en API op de geconfigureerde TLS-poort." + } + }, + "ui": { + "label": "UI", + "description": "Gebruikersinterfacevoorkeuren zoals tijdzone, tijd/datumopmaak en eenheden.", + "timezone": { + "label": "Tijdzone", + "description": "Optionele tijdzone voor weergave in de UI (standaard browsertijd indien niet ingesteld)." + }, + "time_format": { + "label": "Tijdnotatie", + "description": "Tijdnotatie voor de UI (browser, 12-uurs of 24-uurs)." + }, + "date_style": { + "label": "Datumstijl", + "description": "Datumstijl voor de UI (vol, lang, middel, kort)." + }, + "time_style": { + "label": "Tijdstijl", + "description": "Tijdstijl voor de UI (vol, lang, middel, kort)." + }, + "unit_system": { + "label": "Eenhedensysteem", + "description": "Eenhedensysteem voor weergave (metrisch of imperiaal) in de UI en MQTT." + } + }, + "detectors": { + "label": "Detector hardware", + "description": "Configuratie voor objectdetectors (CPU, GPU, ONNX-backends) en detector-specifieke modelinstellingen.", + "type": { + "label": "Type" + }, + "model": { + "label": "Detector-specifieke modelconfiguratie", + "description": "Detector-specifieke modelconfiguratie-opties (pad, invoergrootte, enz.).", + "path": { + "label": "Pad naar aangepast objectdetectormodel", + "description": "Pad naar een aangepast detectiemodel (of plus:// voor Frigate+-modellen)." + }, + "labelmap_path": { + "label": "Labelmap voor aangepaste objectdetector", + "description": "Pad naar een labelmap-bestand dat numerieke klassen koppelt aan string-labels voor de detector." + }, + "width": { + "label": "Invoerbreedte objectdetectiemodel", + "description": "Breedte van de modelinvoertensor in pixels." + }, + "height": { + "label": "Invoerhoogte objectdetectiemodel", + "description": "Hoogte van de modelinvoertensor in pixels." + }, + "labelmap": { + "label": "Labelmap-aanpassing", + "description": "Overschrijvingen of herwijzingen om samen te voegen met de standaard labelmap." + }, + "attributes_map": { + "label": "Koppeling van objectlabels aan attribuutlabels", + "description": "Koppeling tussen objectlabels en attribuutlabels voor metadata (bijv. 'car' -> ['license_plate'])." + }, + "input_tensor": { + "label": "Invoertensorvorm van het model", + "description": "Tensorformaat dat het model verwacht: 'nhwc' of 'nchw'." + }, + "input_pixel_format": { + "label": "Invoerpixelkleurformaat van het model", + "description": "Pixelkleurruimte die het model verwacht: 'rgb', 'bgr' of 'yuv'." + }, + "input_dtype": { + "label": "Invoergegevenstype van het model", + "description": "Gegevenstype van de modelinvoertensor (bijv. 'float32')." + }, + "model_type": { + "label": "Modeltype voor objectdetectie", + "description": "Modelarchitectuurtype van de detector (ssd, yolox, yolonas) voor optimalisatie door sommige detectors." + } + }, + "model_path": { + "label": "Detector-specifiek modelpad", + "description": "Bestandspad naar het detector-modelbinaire bestand, indien vereist door de gekozen detector." + }, + "axengine": { + "label": "AXEngine NPU", + "description": "AXERA AX650N/AX8850N NPU-detector die gecompileerde .axmodel-bestanden uitvoert via de AXEngine-runtime." + }, + "cpu": { + "label": "CPU", + "description": "CPU TFLite-detector die TensorFlow Lite-modellen uitvoert op de host-CPU zonder hardwareversnelling. Niet aanbevolen.", + "num_threads": { + "label": "Aantal detectiethreads", + "description": "Het aantal threads voor CPU-gebaseerde inferentie." + } + }, + "deepstack": { + "label": "DeepStack", + "description": "DeepStack/CodeProject.AI-detector die afbeeldingen naar een externe DeepStack HTTP API stuurt voor inferentie. Niet aanbevolen.", + "api_url": { + "label": "DeepStack API URL", + "description": "De URL van de DeepStack API." + }, + "api_timeout": { + "label": "DeepStack API-timeout (in seconden)", + "description": "Maximale toegestane tijd voor een DeepStack API-verzoek." + }, + "api_key": { + "label": "DeepStack API-sleutel (indien vereist)", + "description": "Optionele API-sleutel voor geauthenticeerde DeepStack-diensten." + } + }, + "degirum": { + "label": "DeGirum", + "description": "DeGirum-detector voor het uitvoeren van modellen via DeGirum-cloud of lokale inferentiediensten.", + "location": { + "label": "Locatie van inferentie-engine", + "description": "Locatie van de DeGirum-inferentie-engine (bijv. '@cloud', '127.0.0.1')." + }, + "zoo": { + "label": "Model Zoo", + "description": "Pad of URL naar de DeGirum model zoo." + }, + "token": { + "label": "DeGirum-cloudtoken", + "description": "Token voor toegang tot de DeGirum-cloud." + } + }, + "edgetpu": { + "label": "EdgeTPU", + "description": "EdgeTPU-detector die TensorFlow Lite-modellen uitvoert die zijn gecompileerd voor Coral EdgeTPU via de EdgeTPU-delegate.", + "device": { + "label": "Apparaattype", + "description": "Het apparaat voor EdgeTPU-inferentie (bijv. 'usb', 'pci')." + } + }, + "hailo8l": { + "label": "Hailo-8/Hailo-8L", + "description": "Hailo-8/Hailo-8L-detector die HEF-modellen en de HailoRT SDK gebruikt voor inferentie op Hailo-hardware.", + "device": { + "label": "Apparaattype", + "description": "Het apparaat voor Hailo-inferentie (bijv. 'PCIe', 'M.2')." + } + }, + "memryx": { + "label": "MemryX", + "description": "MemryX MX3-detector die gecompileerde DFP-modellen uitvoert op MemryX-accelerators.", + "device": { + "label": "Apparaatpad", + "description": "Het apparaat voor MemryX-inferentie (bijv. 'PCIe')." + } + }, + "onnx": { + "label": "ONNX", + "description": "ONNX-detector voor het uitvoeren van ONNX-modellen; gebruikt beschikbare versnellingsbackends (CUDA/ROCm/OpenVINO) indien beschikbaar.", + "device": { + "label": "Apparaattype", + "description": "Het apparaat voor ONNX-inferentie (bijv. 'AUTO', 'CPU', 'GPU')." + } + }, + "openvino": { + "label": "OpenVINO", + "description": "OpenVINO-detector voor AMD- en Intel-CPU's, Intel GPU's en Intel VPU-hardware.", + "device": { + "label": "Apparaattype", + "description": "Het apparaat voor OpenVINO-inferentie (bijv. 'CPU', 'GPU', 'NPU')." + } + }, + "rknn": { + "label": "RKNN", + "description": "RKNN-detector voor Rockchip NPU's; voert gecompileerde RKNN-modellen uit op Rockchip-hardware.", + "num_cores": { + "label": "Aantal te gebruiken NPU-kernen.", + "description": "Het aantal te gebruiken NPU-kernen (0 voor automatisch)." + } + }, + "synaptics": { + "label": "Synaptics", + "description": "Synaptics NPU-detector voor modellen in .synap-formaat via de Synap SDK op Synaptics-hardware." + }, + "teflon_tfl": { + "label": "Teflon", + "description": "Teflon delegate-detector voor TFLite via de Mesa Teflon delegate-bibliotheek voor GPU-versnelling." + }, + "tensorrt": { + "label": "TensorRT", + "description": "TensorRT-detector voor Nvidia Jetson-apparaten via geserialiseerde TensorRT-engines voor versnelde inferentie.", + "device": { + "label": "GPU-apparaatindex", + "description": "De te gebruiken GPU-apparaatindex." + } + }, + "zmq": { + "label": "ZMQ IPC", + "description": "ZMQ IPC-detector die inferentie uitbesteedt aan een extern proces via een ZeroMQ IPC-eindpunt.", + "endpoint": { + "label": "ZMQ IPC-eindpunt", + "description": "Het ZMQ-eindpunt waarmee verbinding wordt gemaakt." + }, + "request_timeout_ms": { + "label": "ZMQ-verzoektimeout in milliseconden", + "description": "Timeout voor ZMQ-verzoeken in milliseconden." + }, + "linger_ms": { + "label": "ZMQ-socket linger in milliseconden", + "description": "Socket linger-periode in milliseconden." + } + } + }, + "model": { + "label": "Detectie model", + "description": "Instellingen voor het configureren van een aangepast objectdetectiemodel en de invoervorm.", + "path": { + "label": "Pad naar aangepast objectdetectormodel", + "description": "Pad naar een aangepast detectiemodel (of plus:// voor Frigate+-modellen)." + }, + "labelmap_path": { + "label": "Labelmap voor aangepaste objectdetector", + "description": "Pad naar een labelmap-bestand dat numerieke klassen koppelt aan string-labels voor de detector." + }, + "width": { + "label": "Invoerbreedte objectdetectiemodel", + "description": "Breedte van de modelinvoertensor in pixels." + }, + "height": { + "label": "Invoerhoogte objectdetectiemodel", + "description": "Hoogte van de modelinvoertensor in pixels." + }, + "labelmap": { + "label": "Labelmap-aanpassing", + "description": "Overschrijvingen of herwijzingen om samen te voegen met de standaard labelmap." + }, + "attributes_map": { + "label": "Koppeling van objectlabels aan attribuutlabels", + "description": "Koppeling tussen objectlabels en attribuutlabels voor metadata (bijv. 'car' -> ['license_plate'])." + }, + "input_tensor": { + "label": "Invoertensorvorm van het model", + "description": "Tensorformaat dat het model verwacht: 'nhwc' of 'nchw'." + }, + "input_pixel_format": { + "label": "Invoerpixelkleurformaat van het model", + "description": "Pixelkleurruimte die het model verwacht: 'rgb', 'bgr' of 'yuv'." + }, + "input_dtype": { + "label": "Invoergegevenstype van het model", + "description": "Gegevenstype van de modelinvoertensor (bijv. 'float32')." + }, + "model_type": { + "label": "Modeltype voor objectdetectie", + "description": "Modelarchitectuurtype van de detector (ssd, yolox, yolonas) voor optimalisatie door sommige detectors." + } + }, + "genai": { + "label": "Generatieve AI-configuratie", + "description": "Instellingen voor geïntegreerde generatieve AI-providers voor het genereren van objectbeschrijvingen en beoordelingssamenvattingen.", + "api_key": { + "label": "API-sleutel", + "description": "API-sleutel vereist door sommige providers (kan ook via omgevingsvariabelen worden ingesteld)." + }, + "base_url": { + "label": "Basis-URL", + "description": "Basis-URL voor zelf-gehoste of compatibele providers (bijv. een Ollama-instantie)." + }, + "model": { + "label": "Model", + "description": "Het model van de provider voor het genereren van beschrijvingen of samenvattingen." + }, + "provider": { + "label": "Provider", + "description": "De te gebruiken GenAI-provider (bijv. ollama, gemini, openai)." + }, + "roles": { + "label": "Rollen", + "description": "GenAI-rollen (chat, beschrijvingen, inbeddingen); één provider per rol." + }, + "provider_options": { + "label": "Provideropties", + "description": "Aanvullende provider-specifieke opties voor de GenAI-client." + }, + "runtime_options": { + "label": "Runtime-opties", + "description": "Runtime-opties die bij elke inferentieaanroep aan de provider worden meegegeven." + } + }, + "ffmpeg": { + "label": "FFmpeg", + "description": "FFmpeg-instellingen inclusief binaire pad, argumenten, hardwareversnellingsopties en uitvoerargumenten per rol.", + "path": { + "label": "FFmpeg-pad", + "description": "Pad naar het te gebruiken FFmpeg-binaire bestand of een versie-alias (\"5.0\" of \"7.0\")." + }, + "global_args": { + "label": "FFmpeg globale argumenten", + "description": "Globale argumenten voor FFmpeg-processen." + }, + "hwaccel_args": { + "label": "Hardwareversnellingsargumenten", + "description": "Hardwareversnellingsargumenten voor FFmpeg. Provider-specifieke presets worden aanbevolen." + }, + "input_args": { + "label": "Invoerargumenten", + "description": "Invoerargumenten voor FFmpeg-invoerstromen." + }, + "output_args": { + "label": "Uitvoerargumenten", + "description": "Standaard uitvoerargumenten voor verschillende FFmpeg-rollen zoals detectie en opname.", + "detect": { + "label": "Uitvoerargumenten voor detectie", + "description": "Standaard uitvoerargumenten voor streams met detectierol." + }, + "record": { + "label": "Uitvoerargumenten voor opname", + "description": "Standaard uitvoerargumenten voor streams met opnamerol." + } + }, + "retry_interval": { + "label": "FFmpeg-herverbindingstijd", + "description": "Seconden wachten voor een herverbindingspoging na een mislukte camerastream. Standaard is 10." + }, + "apple_compatibility": { + "label": "Apple-compatibiliteit", + "description": "HEVC-tagging inschakelen voor betere Apple-spelercompatibiliteit bij het opnemen van H.265." + }, + "gpu": { + "label": "GPU-index", + "description": "Standaard GPU-index voor hardwareversnelling indien beschikbaar." + }, + "inputs": { + "label": "Camera-invoer", + "description": "Lijst van invoerstream-definities (paden en rollen) voor deze camera.", + "path": { + "label": "Invoerpad", + "description": "URL of pad van de camera-invoerstroom." + }, + "roles": { + "label": "Invoerrollen", + "description": "Rollen voor deze invoerstroom." + }, + "global_args": { + "label": "FFmpeg globale argumenten", + "description": "FFmpeg globale argumenten voor deze invoerstroom." + }, + "hwaccel_args": { + "label": "Hardwareversnellingsargumenten", + "description": "Hardwareversnellingsargumenten voor deze invoerstroom." + }, + "input_args": { + "label": "Invoerargumenten", + "description": "Invoerargumenten specifiek voor deze stream." + } + } + }, + "live": { + "label": "Live weergave", + "description": "Instellingen voor de jsmpeg-livestream-resolutie en -kwaliteit. Dit heeft geen invloed op gerestreamde camera's die go2rtc gebruiken voor live weergave.", + "streams": { + "label": "Live streamnamen", + "description": "Koppeling van geconfigureerde streamnamen aan restream/go2rtc-namen voor live weergave." + }, + "height": { + "label": "Live hoogte", + "description": "Hoogte (pixels) voor weergave van de jsmpeg-livestream in de webinterface; moet ≤ hoogte van de detectiestream zijn." + }, + "quality": { + "label": "Live kwaliteit", + "description": "Coderingskwaliteit voor de jsmpeg-stream (1 hoogste, 31 laagste)." + } + }, + "motion": { + "label": "Bewegingsdetectie", + "description": "Standaard bewegingsdetectie-instellingen die worden toegepast op camera's tenzij per camera overschreven.", + "enabled": { + "label": "Bewegingsdetectie inschakelen", + "description": "Bewegingsdetectie voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "threshold": { + "label": "Bewegingsdrempel", + "description": "Pixelverschildrempel voor de bewegingsdetector; hogere waarden verminderen de gevoeligheid (bereik 1-255)." + }, + "lightning_threshold": { + "label": "Bliksemdrempel", + "description": "Drempel om korte lichtflitsen te detecteren en te negeren (lager is gevoeliger, waarden tussen 0,3 en 1,0). Dit voorkomt bewegingsdetectie niet volledig; het zorgt er alleen voor dat de detector stopt met het analyseren van extra frames zodra de drempel wordt overschreden. Op beweging gebaseerde opnames worden tijdens deze gebeurtenissen nog steeds aangemaakt." + }, + "skip_motion_threshold": { + "label": "Drempel voor overgeslagen beweging", + "description": "Als ingesteld op een waarde tussen 0,0 en 1,0, en meer dan dit deel van het beeld verandert in één frame, geeft de detector geen bewegingsvakken terug en kalibreert hij direct opnieuw. Dit bespaart CPU en vermindert vals-positieven bij bliksem, stormen e.d., maar kan echte gebeurtenissen zoals PTZ-tracking missen. De afweging is tussen het weggooien van enkele megabytes opnames versus het bekijken van een paar korte clips. Leeg laten (None) om deze functie uit te schakelen." + }, + "improve_contrast": { + "label": "Contrast verbeteren", + "description": "Contrastverbetering op frames toepassen vóór bewegingsanalyse om detectie te verbeteren." + }, + "contour_area": { + "label": "Contouroppervlakte", + "description": "Minimale contouroppervlakte in pixels voor een bewegingscontour om te worden geteld." + }, + "delta_alpha": { + "label": "Delta-alfa", + "description": "Alpha-mengfactor voor frameverschil bij bewegingsberekening." + }, + "frame_alpha": { + "label": "Frame-alfa", + "description": "Alpha-waarde voor het mengen van frames bij bewegingsvoorverwerking." + }, + "frame_height": { + "label": "Framehoogte", + "description": "Hoogte in pixels waarnaar frames worden geschaald bij het berekenen van beweging." + }, + "mask": { + "label": "Maskercoördinaten", + "description": "Geordende x,y-coördinaten die het bewegingsmaskeerpolygoon definiëren voor het in- of uitsluiten van gebieden." + }, + "mqtt_off_delay": { + "label": "MQTT uit-vertraging", + "description": "Seconden wachten na de laatste beweging vóór publicatie van een MQTT 'off'-status." + }, + "enabled_in_config": { + "label": "Originele bewegingsstatus", + "description": "Geeft aan of bewegingsdetectie was ingeschakeld in de originele statische configuratie." + }, + "raw_mask": { + "label": "Onbewerkt masker" + } + }, + "objects": { + "label": "Objecten", + "description": "Standaardinstellingen voor objectvolging, inclusief te volgen labels en per-object filters.", + "track": { + "label": "Te volgen objecten", + "description": "Lijst met objectlabels om te volgen voor alle camera's; kan per camera worden overschreven." + }, + "filters": { + "label": "Objectfilters", + "description": "Filters op gedetecteerde objecten om vals-positieven te verminderen (oppervlakte, verhouding, betrouwbaarheid).", + "min_area": { + "label": "Minimale objectoppervlakte", + "description": "Minimale detectiekaderoppervlakte (pixels of percentage) voor dit objecttype. Kan pixels (int) of percentage (float tussen 0,000001 en 0,99) zijn." + }, + "max_area": { + "label": "Maximale objectoppervlakte", + "description": "Maximale detectiekaderoppervlakte (pixels of percentage) voor dit objecttype. Kan pixels (int) of percentage (float tussen 0,000001 en 0,99) zijn." + }, + "min_ratio": { + "label": "Minimale beeldverhouding", + "description": "Minimale breedte/hoogte-verhouding voor het detectiekader om te kwalificeren." + }, + "max_ratio": { + "label": "Maximale beeldverhouding", + "description": "Maximale breedte/hoogte-verhouding voor het detectiekader om te kwalificeren." + }, + "threshold": { + "label": "Betrouwbaarheidsdrempel", + "description": "Gemiddelde detectiebetrouwbaarheidsdrempel om een object als terecht positief te beschouwen." + }, + "min_score": { + "label": "Minimale betrouwbaarheid", + "description": "Minimale detectiebetrouwbaarheid in één frame om het object te tellen." + }, + "mask": { + "label": "Filtermasker", + "description": "Polygooncoördinaten die aangeven waar dit filter van toepassing is in het frame." + }, + "raw_mask": { + "label": "Onbewerkt masker" + } + }, + "mask": { + "label": "Objectmasker", + "description": "Maskeerpolygoon om objectdetectie in bepaalde gebieden te voorkomen." + }, + "raw_mask": { + "label": "Onbewerkt masker" + }, + "genai": { + "label": "GenAI-objectconfiguratie", + "description": "GenAI-opties voor het beschrijven van gevolgde objecten en het versturen van frames voor generatie.", + "enabled": { + "label": "GenAI inschakelen", + "description": "GenAI-beschrijvingen voor gevolgde objecten standaard inschakelen." + }, + "use_snapshot": { + "label": "Snapshots gebruiken", + "description": "Objectsnapshots gebruiken in plaats van miniaturen voor GenAI-beschrijving." + }, + "prompt": { + "label": "Bijschriftprompt", + "description": "Standaard promptsjabloon voor het genereren van beschrijvingen met GenAI." + }, + "object_prompts": { + "label": "Objectprompts", + "description": "Prompts per object voor het aanpassen van GenAI-uitvoer voor specifieke labels." + }, + "objects": { + "label": "GenAI-objecten", + "description": "Lijst van objectlabels die standaard naar GenAI worden gestuurd." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die objecten moeten betreden om in aanmerking te komen voor GenAI-beschrijving." + }, + "debug_save_thumbnails": { + "label": "Snapshots opslaan", + "description": "Snapshots die naar GenAI worden gestuurd opslaan voor foutopsporing." + }, + "send_triggers": { + "label": "GenAI-triggers", + "description": "Bepaalt wanneer frames naar GenAI worden gestuurd (bij einde, na updates, enz.).", + "tracked_object_end": { + "label": "Sturen bij beëindiging", + "description": "Een verzoek naar GenAI sturen wanneer het gevolgde object eindigt." + }, + "after_significant_updates": { + "label": "Vroege GenAI-trigger", + "description": "Een verzoek naar GenAI sturen na een bepaald aantal significante updates voor het gevolgde object." + } + }, + "enabled_in_config": { + "label": "Originele GenAI-status", + "description": "Geeft aan of GenAI was ingeschakeld in de originele statische configuratie." + } + } + }, + "record": { + "label": "Opname", + "description": "Opname- en bewaarinstellingen die worden toegepast op camera's tenzij per camera overschreven.", + "enabled": { + "label": "Opname inschakelen", + "description": "Opname voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "expire_interval": { + "label": "Opruiminterval opnames", + "description": "Minuten tussen opruimrondes die verlopen opnamesegmenten verwijderen." + }, + "continuous": { + "label": "Continue bewaring", + "description": "Aantal dagen om opnames te bewaren ongeacht gevolgde objecten of beweging. Stel 0 in om alleen opnames van meldingen en detecties te bewaren.", + "days": { + "label": "Bewaardagen", + "description": "Dagen om opnames te bewaren." + } + }, + "motion": { + "label": "Bewegingsretentie", + "description": "Aantal dagen om opnames veroorzaakt door beweging te bewaren, ongeacht gevolgde objecten. Stel 0 in om alleen opnames van meldingen en detecties te bewaren.", + "days": { + "label": "Bewaardagen", + "description": "Dagen om opnames te bewaren." + } + }, + "detections": { + "label": "Detectieretentie", + "description": "Opname-retentie-instellingen voor detectiegebeurtenissen inclusief pre/post-captureduur.", + "pre_capture": { + "label": "Seconden vóór opname", + "description": "Aantal seconden vóór de detectiegebeurtenis om op te nemen in de opname." + }, + "post_capture": { + "label": "Seconden na opname", + "description": "Aantal seconden na de detectiegebeurtenis om op te nemen in de opname." + }, + "retain": { + "label": "Gebeurtenisbewaring", + "description": "Bewaarinstellingen voor opnames van detectiegebeurtenissen.", + "days": { + "label": "Bewaardagen", + "description": "Aantal dagen om opnames van detectiegebeurtenissen te bewaren." + }, + "mode": { + "label": "Bewaarmodus", + "description": "Bewaarmodus: all (alle segmenten), motion (segmenten met beweging) of active_objects (segmenten met actieve objecten)." + } + } + }, + "alerts": { + "label": "Meldingsbewaring", + "description": "Opname-retentie-instellingen voor alertgebeurtenissen inclusief pre/post-captureduur.", + "pre_capture": { + "label": "Seconden vóór opname", + "description": "Aantal seconden vóór de detectiegebeurtenis om op te nemen in de opname." + }, + "post_capture": { + "label": "Seconden na opname", + "description": "Aantal seconden na de detectiegebeurtenis om op te nemen in de opname." + }, + "retain": { + "label": "Gebeurtenisbewaring", + "description": "Bewaarinstellingen voor opnames van detectiegebeurtenissen.", + "days": { + "label": "Bewaardagen", + "description": "Aantal dagen om opnames van detectiegebeurtenissen te bewaren." + }, + "mode": { + "label": "Bewaarmodus", + "description": "Bewaarmodus: all (alle segmenten), motion (segmenten met beweging) of active_objects (segmenten met actieve objecten)." + } + } + }, + "export": { + "label": "Exportconfiguratie", + "description": "Instellingen voor het exporteren van opnames, zoals timelapse en hardwareversnelling.", + "hwaccel_args": { + "label": "Hardwareversnellingsargumenten voor export", + "description": "Hardwareversnellingsargumenten voor export/transcodering." + }, + "max_concurrent": { + "label": "Maximaal aantal gelijktijdige exports", + "description": "Maximum aantal exporttaken dat tegelijk wordt verwerkt." + } + }, + "preview": { + "label": "Voorbeeldconfiguratie", + "description": "Instellingen voor de kwaliteit van opnamevoorbeelden in de UI.", + "quality": { + "label": "Voorbeeldkwaliteit", + "description": "Kwaliteitsniveau voor voorbeelden (very_low, low, medium, high, very_high)." + } + }, + "enabled_in_config": { + "label": "Originele opnamestatus", + "description": "Geeft aan of opname was ingeschakeld in de originele statische configuratie." + } + }, + "review": { + "label": "Beoordeling", + "description": "Instellingen voor meldingen, detecties en GenAI-beoordelingssamenvattingen in de UI en opslag.", + "alerts": { + "label": "Meldingsconfiguratie", + "description": "Instellingen voor welke gevolgde objecten alerts genereren en hoe alerts worden bewaard.", + "enabled": { + "label": "Alerts inschakelen", + "description": "Genereren van meldingen voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "labels": { + "label": "Meldingslabels", + "description": "Lijst met objectlabels die kwalificeren als meldingen (bijv. auto, persoon)." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die een object moet betreden om als melding te worden beschouwd; leeg laten voor elke zone." + }, + "enabled_in_config": { + "label": "Originele meldingsstatus", + "description": "Geeft aan of meldingen oorspronkelijk waren ingeschakeld in de statische configuratie." + }, + "cutoff_time": { + "label": "Afsluitingstijd meldingen", + "description": "Seconden wachten na het uitblijven van melding veroorzakende activiteit voordat een melding wordt afgesloten." + } + }, + "detections": { + "label": "Detectieconfiguratie", + "description": "Instellingen voor welke gevolgde objecten detecties genereren en hoe detecties worden bewaard.", + "enabled": { + "label": "Detecties inschakelen", + "description": "Detecties voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "labels": { + "label": "Detectielabels", + "description": "Lijst met objectlabels die kwalificeren als detectiegebeurtenissen." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die een object moet betreden om als detectie te worden beschouwd; leeg laten voor elke zone." + }, + "cutoff_time": { + "label": "Afsluitingstijd detecties", + "description": "Seconden wachten na het uitblijven van detectie veroorzakende activiteit voordat een detectie wordt afgesloten." + }, + "enabled_in_config": { + "label": "Originele detectiestatus", + "description": "Geeft aan of detecties oorspronkelijk waren ingeschakeld in de statische configuratie." + } + }, + "genai": { + "label": "GenAI-configuratie", + "description": "Beheert het gebruik van generatieve AI voor het produceren van beschrijvingen en samenvattingen van beoordelingsitems.", + "enabled": { + "label": "GenAI-beschrijvingen inschakelen", + "description": "Door GenAI gegenereerde beschrijvingen en samenvattingen voor beoordelingsitems in- of uitschakelen." + }, + "alerts": { + "label": "GenAI inschakelen voor meldingen", + "description": "GenAI gebruiken voor het genereren van beschrijvingen bij meldingsitems." + }, + "detections": { + "label": "GenAI inschakelen voor detecties", + "description": "GenAI gebruiken voor het genereren van beschrijvingen bij detectiebeoordelingen." + }, + "image_source": { + "label": "Afbeeldingsbron voor beoordeling", + "description": "Bron van afbeeldingen naar GenAI ('preview' of 'recordings'); 'recordings' gebruikt hogere kwaliteit maar meer tokens." + }, + "additional_concerns": { + "label": "Aanvullende aandachtspunten", + "description": "Een lijst met aanvullende aandachtspunten die GenAI moet meenemen bij het beoordelen van activiteit op deze camera." + }, + "debug_save_thumbnails": { + "label": "Snapshots opslaan", + "description": "Snapshots die naar de GenAI-provider worden gestuurd opslaan voor foutopsporing." + }, + "enabled_in_config": { + "label": "Originele GenAI-status", + "description": "Geeft aan of GenAI-beoordeling oorspronkelijk was ingeschakeld in de statische configuratie." + }, + "preferred_language": { + "label": "Voorkeurstaal", + "description": "Voorkeurstaal voor gegenereerde antwoorden van de GenAI-provider." + }, + "activity_context_prompt": { + "label": "Activiteitscontextprompt", + "description": "Aangepaste prompt die beschrijft wat wel en niet verdachte activiteit is, als context voor GenAI-samenvattingen." + } + } + }, + "snapshots": { + "label": "Snapshots", + "description": "Instellingen voor API-gegenereerde snapshots van gevolgde objecten voor alle camera's; kan per camera worden overschreven.", + "enabled": { + "label": "Snapshots inschakelen", + "description": "Het opslaan van snapshots voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "timestamp": { + "label": "Tijdstempel-overlay", + "description": "Een tijdstempel op API-snapshots weergeven." + }, + "bounding_box": { + "label": "Detectiekader-overlay", + "description": "Detectiekaders voor gevolgde objecten tekenen op API-snapshots." + }, + "crop": { + "label": "Snapshot bijsnijden", + "description": "API-snapshots bijsnijden tot het detectiekader van het gedetecteerde object." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die een object moet betreden voordat een snapshot wordt opgeslagen." + }, + "height": { + "label": "Snapshothoogte", + "description": "Hoogte (pixels) om API-snapshots naar te schalen; leeg laten om de originele grootte te behouden." + }, + "retain": { + "label": "Snapshot-bewaring", + "description": "Bewaarinstellingen voor snapshots inclusief standaarddagen en per-object overschrijvingen.", + "default": { + "label": "Standaard retentie", + "description": "Standaard aantal dagen om snapshots te bewaren." + }, + "mode": { + "label": "Bewaarmodus", + "description": "Bewaarmodus: all (alle segmenten), motion (segmenten met beweging) of active_objects (segmenten met actieve objecten)." + }, + "objects": { + "label": "Objectbewaring", + "description": "Objectspecifieke overschrijvingen voor het aantal bewaardagen van snapshots." + } + }, + "quality": { + "label": "Snapshotkwaliteit", + "description": "Coderingskwaliteit voor opgeslagen snapshots (0-100)." + } + }, + "timestamp_style": { + "label": "Tijdstempelstijl", + "description": "Stijlopties voor tijdstempels in de feed, toegepast op de debugweergave en snapshots.", + "position": { + "label": "Tijdstempelpositie", + "description": "Positie van de tijdstempel op de afbeelding (tl/tr/bl/br)." + }, + "format": { + "label": "Tijdstempelformaat", + "description": "Datumtijdformaatstring voor tijdstempels (Python datetime-formaatcodes)." + }, + "color": { + "label": "Tijdstempelkleur", + "description": "RGB-kleurwaarden voor de tijdstempeltekst (alle waarden 0-255).", + "red": { + "label": "Rood", + "description": "Roodcomponent (0-255) voor de tijdstempelkleur." + }, + "green": { + "label": "Groen", + "description": "Groencomponent (0-255) voor de tijdstempelkleur." + }, + "blue": { + "label": "Blauw", + "description": "Blauwcomponent (0-255) voor de tijdstempelkleur." + } + }, + "thickness": { + "label": "Tijdstempeldikte", + "description": "Lijndikte van de tijdstempeltekst." + }, + "effect": { + "label": "Tijdstempeleffect", + "description": "Visueel effect voor de tijdstempeltekst (geen, effen, schaduw)." + } + }, + "classification": { + "label": "Objectclassificatie", + "description": "Instellingen voor classificatiemodellen die worden gebruikt om objectlabels of statusclassificatie te verfijnen.", + "bird": { + "label": "Vogelclassificatieconfiguratie", + "description": "Instellingen specifiek voor vogelclassificatiemodellen.", + "enabled": { + "label": "Vogelclassificatie", + "description": "Vogelclassificatie in- of uitschakelen." + }, + "threshold": { + "label": "Minimale score", + "description": "Minimale classificatiescore om een vogelclassificatie te accepteren." + } + }, + "custom": { + "label": "Aangepaste classificatiemodellen", + "description": "Configuratie voor aangepaste classificatiemodellen voor object- of statusdetectie.", + "enabled": { + "label": "Model inschakelen", + "description": "Het aangepaste classificatiemodel in- of uitschakelen." + }, + "name": { + "label": "Modelnaam", + "description": "Identifier van het te gebruiken aangepaste classificatiemodel." + }, + "threshold": { + "label": "Scoredrempel", + "description": "Scoredrempel voor het wijzigen van de classificatiestatus." + }, + "save_attempts": { + "label": "Opgeslagen pogingen", + "description": "Aantal classificatiepogingen dat wordt bijgehouden voor de recente classificaties in de UI." + }, + "object_config": { + "objects": { + "label": "Objecten classificeren", + "description": "Lijst van objecttypen waarop objectclassificatie wordt uitgevoerd." + }, + "classification_type": { + "label": "Classificatietype", + "description": "Toegepast classificatietype: 'sub_label' (voegt sub_label toe) of andere ondersteunde typen." + } + }, + "state_config": { + "cameras": { + "label": "Classificatiecamera's", + "description": "Per-camera bijsnijdinstellingen voor statusclassificatie.", + "crop": { + "label": "Classificatie-uitsnede", + "description": "Bijsnijdcoördinaten voor classificatie op deze camera." + } + }, + "motion": { + "label": "Uitvoeren bij beweging", + "description": "Indien ingeschakeld, classificatie uitvoeren wanneer beweging wordt gedetecteerd in het opgegeven bijsnijdgebied." + }, + "interval": { + "label": "Classificatie-interval", + "description": "Interval (seconden) tussen periodieke classificatierondes voor statusclassificatie." + } + } + } + }, + "semantic_search": { + "label": "Semantisch zoeken", + "description": "Instellingen voor semantisch zoeken, dat objectinbeddingen opbouwt en bevraagt om vergelijkbare items te vinden.", + "enabled": { + "label": "Semantisch zoeken inschakelen", + "description": "De semantisch zoeken-functie in- of uitschakelen." + }, + "reindex": { + "label": "Herindexeren bij opstarten", + "description": "Een volledige herindexering van historische gevolgde objecten in de inbeddingsdatabase starten." + }, + "model": { + "label": "Semantisch zoekmodel of GenAI-providernaam", + "description": "Het inbeddingsmodel voor semantisch zoeken (bijv. 'jinav1'), of de naam van een GenAI-provider met de inbeddingsrol." + }, + "model_size": { + "label": "Modelgrootte", + "description": "Selecteer modelgrootte; 'small' draait op CPU en 'large' vereist doorgaans een GPU." + }, + "device": { + "label": "Apparaat", + "description": "Dit is een overschrijving om een specifiek apparaat te targeten. Zie https://onnxruntime.ai/docs/execution-providers/ voor meer informatie" + }, + "triggers": { + "label": "Triggers", + "description": "Acties en matchcriteria voor cameraspecifieke semantisch-zoeken-triggers.", + "friendly_name": { + "label": "Weergavenaam", + "description": "Optionele weergavenaam voor deze trigger in de UI." + }, + "enabled": { + "label": "Trigger inschakelen", + "description": "Deze semantisch-zoeken-trigger in- of uitschakelen." + }, + "type": { + "label": "Triggertype", + "description": "Type trigger: 'thumbnail' (vergelijk met afbeelding) of 'description' (vergelijk met tekst)." + }, + "data": { + "label": "Triggerinhoud", + "description": "Tekstzin of miniatuur-ID om te vergelijken met gevolgde objecten." + }, + "threshold": { + "label": "Triggerdrempel", + "description": "Minimale gelijkenisscore (0-1) om deze trigger te activeren." + }, + "actions": { + "label": "Triggeracties", + "description": "Lijst van uit te voeren acties bij triggermatch (melding, sub_label, attribuut)." + } + } + }, + "face_recognition": { + "label": "Gezichtsherkenning", + "description": "Instellingen voor gezichtsdetectie en -herkenning voor alle camera's; kan per camera worden overschreven.", + "enabled": { + "label": "Gezichtsherkenning inschakelen", + "description": "Gezichtsherkenning voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "model_size": { + "label": "Modelgrootte", + "description": "Modelgrootte voor gezichtsinbeddingen (small/large); groter vereist mogelijk een GPU." + }, + "unknown_score": { + "label": "Drempel voor onbekende score", + "description": "Afstandsdrempel waaronder een gezicht als mogelijke match wordt beschouwd (hoger = strikter)." + }, + "detection_threshold": { + "label": "Detectiedrempel", + "description": "Minimale detectiebetrouwbaarheid om een gezichtsdetectie als geldig te beschouwen." + }, + "recognition_threshold": { + "label": "Herkenningsdrempel", + "description": "Gezichtsinbeddingsafstandsdrempel om twee gezichten als match te beschouwen." + }, + "min_area": { + "label": "Minimale gezichtsoppervlakte", + "description": "Minimale oppervlakte (pixels) van een gedetecteerd gezichtskader om herkenning te proberen." + }, + "min_faces": { + "label": "Minimum gezichten", + "description": "Minimum aantal gezichtsherkeningen vereist voordat een herkend sub-label aan een persoon wordt toegekend." + }, + "save_attempts": { + "label": "Opgeslagen pogingen", + "description": "Aantal gezichtsherkenningspogingen dat wordt bijgehouden voor de recente herkenningen in de UI." + }, + "blur_confidence_filter": { + "label": "Vaagheidsbetrouwbaarheidsfilter", + "description": "Betrouwbaarheidsscores aanpassen op basis van beeldvaagheid om vals-positieven bij slechte gezichtskwaliteit te verminderen." + }, + "device": { + "label": "Apparaat", + "description": "Dit is een overschrijving om een specifiek apparaat te targeten. Zie https://onnxruntime.ai/docs/execution-providers/ voor meer informatie" + } + }, + "lpr": { + "label": "Kentekenherkenning", + "description": "Instellingen voor kentekenherkenning inclusief detectiedrempels, opmaak en bekende kentekens.", + "enabled": { + "label": "LPR inschakelen", + "description": "Kentekenherkenning voor alle camera's in- of uitschakelen; kan per camera worden overschreven." + }, + "model_size": { + "label": "Modelgrootte", + "description": "Modelgrootte voor tekstdetectie/-herkenning. De meeste gebruikers moeten 'small' gebruiken." + }, + "detection_threshold": { + "label": "Detectiedrempel", + "description": "Detectiebetrouwbaarheidsdrempel om OCR te starten op een vermoedelijk kenteken." + }, + "min_area": { + "label": "Minimale kentekenoppervlakte", + "description": "Minimale kentekenoppervlakte (pixels) om herkenning te proberen." + }, + "recognition_threshold": { + "label": "Herkenningsdrempel", + "description": "Betrouwbaarheidsdrempel voor herkende kentekentekst om als sub-label toe te voegen." + }, + "min_plate_length": { + "label": "Minimale kentekenlengte", + "description": "Minimum aantal tekens dat een herkend kenteken moet bevatten om geldig te zijn." + }, + "format": { + "label": "Regex voor kentekenformaat", + "description": "Optionele regex om herkende kentekens te valideren tegen een verwacht formaat." + }, + "match_distance": { + "label": "Overeenkomstafstand", + "description": "Aantal toegestane tekenfouten bij vergelijking van gedetecteerde kentekens met bekende kentekens." + }, + "known_plates": { + "label": "Bekende kentekens", + "description": "Lijst met kentekens of regex-patronen om specifiek te volgen of meldingen voor te genereren." + }, + "enhancement": { + "label": "Verbeteringsniveau", + "description": "Verbeteringsniveau (0-10) voor kentekenuitsneden vóór OCR; hogere waarden verbeteren niet altijd het resultaat; niveaus boven 5 werken mogelijk alleen voor nachtelijke kentekens en moeten voorzichtig worden gebruikt." + }, + "debug_save_plates": { + "label": "Kentekenplaten opslaan voor foutopsporing", + "description": "Kentekenuitsneden opslaan voor foutopsporing van LPR-prestaties." + }, + "device": { + "label": "Apparaat", + "description": "Dit is een overschrijving om een specifiek apparaat te targeten. Zie https://onnxruntime.ai/docs/execution-providers/ voor meer informatie" + }, + "replace_rules": { + "label": "Vervangingsregels", + "description": "Regex-vervangingsregels voor het normaliseren van gedetecteerde kentekenstrings vóór vergelijking.", + "pattern": { + "label": "Regex-patroon" + }, + "replacement": { + "label": "Vervangende tekst" + } + }, + "expire_time": { + "label": "Vervaltijd in seconden", + "description": "Tijd in seconden waarna een niet-gezien kenteken vervalt uit de tracker (alleen voor dedicated LPR-camera's)." + } + }, + "camera_groups": { + "label": "Cameragroepen", + "description": "Configuratie voor benoemde cameragroepen voor het organiseren van camera's in de UI.", + "cameras": { + "label": "Cameralijst", + "description": "Lijst met cameranamen in deze groep." + }, + "icon": { + "label": "Groepspictogram", + "description": "Pictogram voor de cameragroep in de UI." + }, + "order": { + "label": "Sorteervolgorde", + "description": "Numerieke volgorde voor het sorteren van cameragroepen in de UI; grotere nummers verschijnen later." + } + }, + "active_profile": { + "label": "Actief profiel", + "description": "Naam van het momenteel actieve profiel. Alleen runtime, wordt niet opgeslagen in YAML." + }, + "camera_mqtt": { + "label": "MQTT", + "description": "Instellingen voor het publiceren van MQTT-afbeeldingen.", + "enabled": { + "label": "Afbeelding versturen", + "description": "Het publiceren van afbeeldingssnapshots van objecten naar MQTT-topics voor deze camera inschakelen." + }, + "timestamp": { + "label": "Tijdstempel toevoegen", + "description": "Een tijdstempel op naar MQTT gepubliceerde afbeeldingen weergeven." + }, + "bounding_box": { + "label": "Detectiekader toevoegen", + "description": "Detectiekaders tekenen op via MQTT gepubliceerde afbeeldingen." + }, + "crop": { + "label": "Afbeelding bijsnijden", + "description": "Naar MQTT gepubliceerde afbeeldingen bijsnijden tot het detectiekader van het gedetecteerde object." + }, + "height": { + "label": "Afbeeldingshoogte", + "description": "Hoogte (pixels) voor het schalen van via MQTT gepubliceerde afbeeldingen." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Zones die een object moet betreden voordat een MQTT-afbeelding wordt gepubliceerd." + }, + "quality": { + "label": "JPEG-kwaliteit", + "description": "JPEG-kwaliteit voor naar MQTT gepubliceerde afbeeldingen (0-100)." + } + }, + "camera_ui": { + "label": "Camera-UI", + "description": "Weergavevolgorde en zichtbaarheid van deze camera in de UI. De volgorde heeft invloed op het standaarddashboard. Gebruik cameragroepen voor fijnere controle.", + "order": { + "label": "UI-volgorde", + "description": "Numerieke volgorde voor het sorteren van de camera in de UI (standaarddashboard en lijsten); grotere nummers verschijnen later." + }, + "dashboard": { + "label": "Tonen in UI", + "description": "Schakel de zichtbaarheid van deze camera overal in de Frigate-UI in of uit. Uitschakelen vereist handmatige aanpassing van de configuratie om de camera opnieuw te bekijken." + } + }, + "onvif": { + "label": "ONVIF", + "description": "ONVIF-verbindings- en PTZ-autovolgingsinstellingen voor deze camera.", + "host": { + "label": "ONVIF-host", + "description": "Host (en optioneel schema) voor de ONVIF-dienst van deze camera." + }, + "port": { + "label": "ONVIF-poort", + "description": "Poortnummer voor de ONVIF-dienst." + }, + "user": { + "label": "ONVIF-gebruikersnaam", + "description": "Gebruikersnaam voor ONVIF-authenticatie; sommige apparaten vereisen de admin-gebruiker voor ONVIF." + }, + "password": { + "label": "ONVIF-wachtwoord", + "description": "Wachtwoord voor ONVIF-authenticatie." + }, + "tls_insecure": { + "label": "TLS-verificatie uitschakelen", + "description": "TLS-verificatie overslaan en digest-authenticatie uitschakelen voor ONVIF (onveilig; alleen in veilige netwerken)." + }, + "profile": { + "label": "ONVIF-profiel", + "description": "Specifiek ONVIF-mediaprofiel voor PTZ-besturing, gekoppeld via token of naam. Indien niet ingesteld, wordt het eerste profiel met geldige PTZ-configuratie automatisch geselecteerd." + }, + "autotracking": { + "label": "Automatisch volgen", + "description": "Bewegende objecten automatisch volgen en gecentreerd houden in het beeld via PTZ-camerabewegingen.", + "enabled": { + "label": "Automatisch volgen inschakelen", + "description": "Automatisch PTZ-camera volgen van gedetecteerde objecten in- of uitschakelen." + }, + "calibrate_on_startup": { + "label": "Kalibreren bij opstarten", + "description": "PTZ-motorsnelheden meten bij opstarten voor nauwkeurigere volging. Frigate werkt de configuratie bij met movement_weights na kalibratie." + }, + "zooming": { + "label": "Zoommodus", + "description": "Zoomgedrag instellen: disabled (alleen pan/tilt), absolute (meest compatibel) of relative (gelijktijdig pan/tilt/zoom)." + }, + "zoom_factor": { + "label": "Zoomfactor", + "description": "Zoomniveau voor gevolgde objecten instellen. Lagere waarden tonen meer van de scène; hogere waarden zoomen verder in maar kunnen de volging verliezen. Waarden tussen 0,1 en 0,75." + }, + "track": { + "label": "Gevolgde objecten", + "description": "Lijst van objecttypen die automatisch volgen activeren." + }, + "required_zones": { + "label": "Vereiste zones", + "description": "Objecten moeten een van deze zones betreden voordat automatisch volgen begint." + }, + "return_preset": { + "label": "Terugkeer-voorinstelling", + "description": "ONVIF-voorkeuzeinstelling in de camerafirmware om naar terug te keren na het volgen." + }, + "timeout": { + "label": "Terugkeertimeout", + "description": "Dit aantal seconden wachten na het verliezen van de volging voordat de camera naar de voorkeuze-positie terugkeert." + }, + "movement_weights": { + "label": "Bewegingsgewichten", + "description": "Kalibratiewaarden automatisch gegenereerd door camerakalbratie. Niet handmatig aanpassen." + }, + "enabled_in_config": { + "label": "Originele autovolgstatus", + "description": "Intern veld om bij te houden of automatisch volgen was ingeschakeld in de configuratie." + } + }, + "ignore_time_mismatch": { + "label": "Tijdsverschil negeren", + "description": "Tijdsynchronisatieverschillen tussen camera en Frigate-server negeren voor ONVIF-communicatie." + } } } diff --git a/web/public/locales/nl/config/groups.json b/web/public/locales/nl/config/groups.json index 6ecc7a6123..e69cd65051 100644 --- a/web/public/locales/nl/config/groups.json +++ b/web/public/locales/nl/config/groups.json @@ -49,7 +49,7 @@ }, "timestamp_style": { "global": { - "appearance": "Globaal voorkomen" + "appearance": "Algemeen uiterlijk" }, "cameras": { "appearance": "Voorkomen" diff --git a/web/public/locales/nl/config/validation.json b/web/public/locales/nl/config/validation.json index 6ddb7c764b..3c95b49d3d 100644 --- a/web/public/locales/nl/config/validation.json +++ b/web/public/locales/nl/config/validation.json @@ -1,6 +1,6 @@ { "minimum": "Minimale waarde van {{limit}} vereist", - "maximum": "Mag niet meer dan {{limit}} bedragen.", + "maximum": "Mag niet meer dan {{limit}} bedragen", "exclusiveMinimum": "Waarde moet groter zijn dan {{limit}}", "exclusiveMaximum": "Moet minder zijn dan {{limit}}", "minLength": "Moet minstens {{limit}} karakters zijn", diff --git a/web/public/locales/nl/views/chat.json b/web/public/locales/nl/views/chat.json new file mode 100644 index 0000000000..d4ffad1fb8 --- /dev/null +++ b/web/public/locales/nl/views/chat.json @@ -0,0 +1,17 @@ +{ + "documentTitle": "Chat - Frigate", + "placeholder": "Stel een vraag...", + "error": "Er is iets misgegaan. Probeer opnieuw.", + "processing": "Verwerken...", + "toolsUsed": "Gebruikt: {{tools}}", + "hideTools": "Gereedschap verbergen", + "call": "Rinkel", + "title": "Frigate Chat", + "subtitle": "Jouw AI assistent voor camera beheer en inzichten", + "result": "Uitkomst", + "arguments": "Argumenten:", + "response": "Antwoord:", + "attachment_chip_remove": "Verwijder bijlage", + "open_in_explore": "Openen in Verken", + "showTools": "Gereedschap tonen" +} diff --git a/web/public/locales/nl/views/classificationModel.json b/web/public/locales/nl/views/classificationModel.json index 40a947afc3..00e6e83285 100644 --- a/web/public/locales/nl/views/classificationModel.json +++ b/web/public/locales/nl/views/classificationModel.json @@ -12,17 +12,18 @@ }, "toast": { "success": { - "deletedCategory_one": "Verwijderde klasse", - "deletedCategory_other": "Verwijderde klassen", - "deletedImage_one": "Verwijderde afbeelding", - "deletedImage_other": "Verwijderde afbeeldingen", + "deletedCategory_one": "Verwijderd {{count}} klasse", + "deletedCategory_other": "Verwijderde {{count}} klassen", + "deletedImage_one": "Verwijderde {{count}} afbeelding", + "deletedImage_other": "Verwijderde {{count}} afbeeldingen", "categorizedImage": "Succesvol geclassificeerde afbeelding", "trainedModel": "Succesvol getraind model.", "trainingModel": "Modeltraining succesvol gestart.", "deletedModel_one": "{{count}} model succesvol verwijderd", "deletedModel_other": "{{count}} modellen succesvol verwijderd", "updatedModel": "Modelconfiguratie succesvol bijgewerkt", - "renamedCategory": "Klasse succesvol hernoemd naar {{name}}" + "renamedCategory": "Klasse succesvol hernoemd naar {{name}}", + "reclassifiedImage": "Afbeelding succesvol opnieuw geclassificeerd" }, "error": { "deleteImageFailed": "Verwijderen mislukt: {{errorMessage}}", diff --git a/web/public/locales/nl/views/exports.json b/web/public/locales/nl/views/exports.json index ffeda4a9ad..e90ebd92fa 100644 --- a/web/public/locales/nl/views/exports.json +++ b/web/public/locales/nl/views/exports.json @@ -4,7 +4,8 @@ "toast": { "error": { "renameExportFailed": "Het is niet gelukt om de export te hernoemen: {{errorMessage}}", - "assignCaseFailed": "Kan toewijzing aan dossier niet bijwerken: {{errorMessage}}" + "assignCaseFailed": "Kan toewijzing aan dossier niet bijwerken: {{errorMessage}}", + "caseSaveFailed": "Mislukt om zaak op te slaan: {{errorMessage}}" } }, "editExport": { @@ -22,7 +23,8 @@ "downloadVideo": "Download video", "editName": "Naam bewerken", "deleteExport": "Verwijder export", - "assignToCase": "Toevoegen aan dossier" + "assignToCase": "Toevoegen aan dossier", + "removeFromCase": "Van zaak verwijderen" }, "headings": { "cases": "Gevallen", @@ -35,5 +37,31 @@ "newCaseOption": "Nieuw dossier aanmaken", "nameLabel": "Dossiernaam", "descriptionLabel": "Beschrijving" + }, + "deleteCase": { + "desc": "Weet je zeker dat je {{caseName}} wilt verwijderen?" + }, + "caseCard": { + "emptyCase": "Nog geen exports" + }, + "caseEditor": { + "createTitle": "Zaak aanmaken", + "editTitle": "Zaak wijzigen", + "namePlaceholder": "Zaaknaam", + "descriptionPlaceholder": "Voeg notities of context toe voor deze zaak" + }, + "addExportDialog": { + "title": "Voeg export toe aan {{caseName}}", + "searchPlaceholder": "Zoek ongecategoriseerde exports", + "empty": "Geen niet-gecategoriseerde exports voldoen aan deze zoekopdracht.", + "addButton_one": "Voeg 1 export toe", + "addButton_other": "Voeg {{count}} exports toe", + "adding": "Toevoegen..." + }, + "toolbar": { + "newCase": "Nieuwe zaak", + "addExport": "Export toevoegen", + "editCase": "Wijzig zaak", + "deleteCase": "Verwijder zaak" } } diff --git a/web/public/locales/nl/views/live.json b/web/public/locales/nl/views/live.json index a0b6cce79e..198af35fb5 100644 --- a/web/public/locales/nl/views/live.json +++ b/web/public/locales/nl/views/live.json @@ -13,7 +13,8 @@ "clickMove": { "label": "Klik in het frame om de camera te centreren", "enable": "Klikken om te bewegen inschakelen", - "disable": "Klikken om te bewegen uitschakelen" + "disable": "Klikken om te bewegen uitschakelen", + "enableWithZoom": "Schakel klikken om te verplaatsen / slepen om te zoomen in" }, "right": { "label": "Beweeg de PTZ-camera naar rechts" diff --git a/web/public/locales/nl/views/motionSearch.json b/web/public/locales/nl/views/motionSearch.json new file mode 100644 index 0000000000..b289113983 --- /dev/null +++ b/web/public/locales/nl/views/motionSearch.json @@ -0,0 +1,65 @@ +{ + "startSearch": "Zoeken Starten", + "searchStarted": "Zoekopdracht gestart", + "searchCancelled": "Zoekopdracht geannuleerd", + "cancelSearch": "Annuleer", + "searching": "Zoekopdracht bezig.", + "searchComplete": "Zoekopdracht voltooid", + "title": "Beweging Zoeken", + "selectCamera": "Beweging Zoeken is aan het laden", + "noResultsYet": "Start een zoekactie om beweging te vinden in de geselecteerde regio", + "noChangesFound": "Geen pixel wijziging gedetecteerd in de geselecteerde regio", + "changesFound_one": "{{count}} bewegingsverandering gevonden", + "changesFound_other": "{{count}} bewegingsveranderingen gevonden", + "framesProcessed": "{{count}} frames verwerkt", + "jumpToTime": "Spring naar deze tijd", + "results": "Resultaten", + "documentTitle": "Beweging Zoeken - Frigate", + "description": "Teken een polygoon om het interessegebied te definieren en specifeer een tijdspanne voor het zoeken in dit gebied.", + "newSearch": "Nieuwe Zoekopdracht", + "clearResults": "Verwijder Resultaten", + "clearROI": "Verwijder Polygoon", + "polygonControls": { + "points_one": "{{count}} punt", + "points_other": "{{count}} punten", + "undo": "Verwijder het laatste punt", + "reset": "Herstel Polygoon" + }, + "dialog": { + "title": "Beweging Zoeken", + "cameraLabel": "Camera" + }, + "timeRange": { + "start": "Starttijd", + "end": "Eindtijd" + }, + "settings": { + "title": "Zoekinstellingen", + "parallelMode": "Parallelle modus", + "parallelModeDesc": "Scan meerdere video segmenten tegelijk (sneller, maar significant meer CPU gebruik)", + "threshold": "Gevoeligheid drempel", + "thresholdDesc": "Lagere waardes detecteren eerder veranderingen (1-255)", + "minArea": "Minimaal wijzigings gebied", + "minAreaDesc": "Minimale percentage van gebied welke moet wijzigen om als significante wijziging aan te merken", + "frameSkip": "Frame overlaan", + "maxResults": "Maximaal aantal resultaten", + "maxResultsDesc": "Stop na dit aantal overeenkomende tijdstempels" + }, + "errors": { + "polygonTooSmall": "De Polygoon moet minstens 3 punten bevatten", + "unknown": "Onbekende fout", + "noCamera": "Selecteer een camera", + "noROI": "Teken een interesse gebied a.u.b.", + "noTimeRange": "Selecteer een tijdsbereik a.u.b.", + "invalidTimeRange": "Eindtijd moet na de starttijd liggen", + "searchFailed": "Zoeken gefaald: {{message}}" + }, + "changePercentage": "{{percentage}}% gewijzigd", + "metrics": { + "title": "Zoek Meetgegevens", + "segmentsScanned": "Gescande segmenten", + "segmentsProcessed": "Verwerkt", + "segmentsSkippedInactive": "Overgeslagen (geen activiteit)", + "segmentsSkippedHeatmap": "Overgeslagen (geen ROI overlap)" + } +} diff --git a/web/public/locales/nl/views/replay.json b/web/public/locales/nl/views/replay.json new file mode 100644 index 0000000000..143c16ec48 --- /dev/null +++ b/web/public/locales/nl/views/replay.json @@ -0,0 +1,59 @@ +{ + "websocket_messages": "Berichten", + "dialog": { + "camera": "Broncamera", + "preset": { + "1m": "Laatste 1 minuut", + "5m": "Laatste 5 minuten", + "timeline": "Vanaf tijdlijn", + "custom": "Aangepast" + }, + "title": "Start Debug Herhaling", + "timeRange": "Tijdsbereik", + "startButton": "Start herhaling", + "selectFromTimeline": "Selecteer", + "starting": "Herhaling starten...", + "startLabel": "Start", + "endLabel": "Einde", + "description": "Maak een tijdelijke herhalingscamera die historische beelden in een lus afspeelt voor het debuggen van objectdetectie- en trackingproblemen. De herhalingscamera gebruikt dezelfde detectieconfiguratie als de broncamera. Kies een tijdsbereik om te beginnen.", + "toast": { + "error": "Kan debugherhaling niet starten: {{error}}", + "alreadyActive": "Er is al een herhalingssessie actief", + "stopError": "Kan debugherhaling niet stoppen: {{error}}", + "goToReplay": "Ga naar herhaling" + } + }, + "title": "Debug Herhaling", + "description": "Herhaal camera-opnames voor foutopsporing. De objectlijst toont een vertraagde samenvatting van gedetecteerde objecten en het tabblad Berichten toont een stream van interne Frigate-berichten uit de herhaalde beelden.", + "page": { + "noSession": "Geen actieve debugherhalingssessie", + "noSessionDesc": "Start een debugherhaling vanuit de Geschiedenis-weergave door op de knop Acties in de werkbalk te klikken en Debug Herhaling te kiezen.", + "goToRecordings": "Ga naar Geschiedenis", + "preparingClip": "Clip voorbereiden…", + "preparingClipDesc": "Frigate voegt opnames samen voor het geselecteerde tijdsbereik. Dit kan bij langere bereiken even duren.", + "startingCamera": "Debugherhaling starten…", + "startError": { + "title": "Kan debugherhaling niet starten", + "back": "Terug naar Geschiedenis" + }, + "sourceCamera": "Broncamera", + "replayCamera": "Herhalingscamera", + "initializingReplay": "Debugherhaling initialiseren...", + "stoppingReplay": "Debugherhaling stoppen...", + "stopReplay": "Stop herhaling", + "confirmStop": { + "title": "Debugherhaling stoppen?", + "description": "Dit stopt de sessie en ruimt alle tijdelijke gegevens op. Weet je het zeker?", + "confirm": "Stop herhaling", + "cancel": "Annuleren" + }, + "activity": "Activiteit", + "objects": "Objectlijst", + "audioDetections": "Audiodetecties", + "noActivity": "Geen activiteit gedetecteerd", + "activeTracking": "Actieve tracking", + "noActiveTracking": "Geen actieve tracking", + "configuration": "Configuratie", + "configurationDesc": "Stem de instellingen voor bewegingsdetectie en objecttracking van de debugherhalingscamera nauwkeurig af. Wijzigingen worden niet opgeslagen in je Frigate-configuratiebestand." + } +} diff --git a/web/public/locales/nl/views/settings.json b/web/public/locales/nl/views/settings.json index 1425acd22f..1deff528c8 100644 --- a/web/public/locales/nl/views/settings.json +++ b/web/public/locales/nl/views/settings.json @@ -3,7 +3,7 @@ "default": "Instellingen - Frigate", "camera": "Camera-instellingen - Frigate", "authentication": "Authenticatie-instellingen - Frigate", - "motionTuner": "Motion Tuner - Frigate", + "motionTuner": "Beweging Tuner - Frigate", "classification": "Classificatie-instellingen - Frigate", "masksAndZones": "Masker- en zone-editor - Frigate", "object": "Foutopsporing Frigate", @@ -12,11 +12,12 @@ "notifications": "Meldingsinstellingen - Frigate", "enrichments": "Verrijkingsinstellingen - Frigate", "cameraManagement": "Camera's beheren - Frigate", - "cameraReview": "Camera Review Instellingen - Frigate", - "globalConfig": "Globale configuratie - Frigate", + "cameraReview": "Camera Beoordeling Instellingen - Frigate", + "globalConfig": "Globaale configuratie - Frigate", "cameraConfig": "Camera-instellingen - Frigate", "maintenance": "Onderhoud - Frigate", - "profiles": "Profielen - Frigate" + "profiles": "Profielen - Frigate", + "detectorsAndModel": "Detectoren en model - Frigate" }, "menu": { "ui": "Gebruikersinterface", @@ -34,7 +35,7 @@ "cameraManagement": "Beheer", "cameraReview": "Beoordeel", "general": "Algemeen", - "globalConfig": "Globale configuratie", + "globalConfig": "Globaale configuratie", "system": "Systeem", "integrations": "Integraties", "profileSettings": "Profielinstellingen", @@ -76,7 +77,7 @@ "systemMqtt": "MQTT", "systemEnvironmentVariables": "Omgevingsvariabelen", "systemTelemetry": "Telemetrie", - "systemBirdseye": "Overzicht", + "systemBirdseye": "Birdseye", "systemFfmpeg": "FFmpeg", "systemDetectorHardware": "Detectie hardware", "cameraFaceRecognition": "Gezichtsherkenning", @@ -88,7 +89,12 @@ "cameraOnvif": "ONVIF", "cameraUi": "Camera UI", "cameraTimestampStyle": "Tijdstempel stijl", - "maintenance": "Onderhoud" + "maintenance": "Onderhoud", + "systemDetectorsAndModel": "Detectoren en model", + "cameraBirdseye": "Birdseye", + "cameraMqtt": "Camera MQTT", + "mediaSync": "Media-synchronisatie", + "regionGrid": "Regio-raster" }, "dialog": { "unsavedChanges": { @@ -352,12 +358,27 @@ "zone": "zone", "motion_mask": "bewegingsmasker", "object_mask": "objectmasker" + }, + "revertOverride": { + "title": "Terugzetten naar basisconfiguratie", + "desc": "Dit verwijdert de profieloverschrijving voor de {{type}} {{name}} en zet deze terug naar de basisconfiguratie." } }, "speed": { "error": { "mustBeGreaterOrEqualTo": "De snelheidsdrempel moet groter dan of gelijk zijn aan 0,1." } + }, + "id": { + "error": { + "mustNotBeEmpty": "ID mag niet leeg zijn.", + "alreadyExists": "Er bestaat al een masker met deze ID voor deze camera." + } + }, + "name": { + "error": { + "mustNotBeEmpty": "Naam mag niet leeg zijn." + } } }, "zones": { @@ -411,6 +432,10 @@ "allObjects": "Alle objecten", "toast": { "success": "Zone ({{zoneName}}) is opgeslagen." + }, + "enabled": { + "title": "Ingeschakeld", + "description": "Of deze zone actief en ingeschakeld is in het configuratiebestand. Als deze is uitgeschakeld, kan deze niet via MQTT worden ingeschakeld. Uitgeschakelde zones worden tijdens runtime genegeerd." } }, "motionMasks": { @@ -439,7 +464,13 @@ "noName": "Bewegingsmasker is opgeslagen." } }, - "add": "Nieuw bewegingsmasker" + "add": "Nieuw bewegingsmasker", + "defaultName": "Beweging Mask {{number}}", + "name": { + "title": "Name", + "description": "Een optionele vriendelijke naam voor dit bewegingsmasker.", + "placeholder": "Voer een naam in..." + } }, "objectMasks": { "label": "Objectmaskers", @@ -464,11 +495,26 @@ "point_other": "{{count}} punten", "clickDrawPolygon": "Klik om een polygoon op de afbeelding te tekenen.", "context": "Objectfiltermaskers worden gebruikt om valse positieven uit te filteren voor een bepaald objecttype op basis van locatie.", - "edit": "Objectmasker bewerken" + "edit": "Objectmasker bewerken", + "name": { + "title": "Name", + "description": "Een optionele vriendelijke naam voor dit objectmasker.", + "placeholder": "Voer een naam in..." + } }, "restart_required": "Herstart vereist (maskers/zones gewijzigd)", "motionMaskLabel": "Bewegingsmasker {{number}}", - "objectMaskLabel": "Objectmasker {{number}} ({{label}})" + "objectMaskLabel": "Objectmasker {{number}}", + "disabledInConfig": "Item is uitgeschakeld in het configuratiebestand", + "addDisabledProfile": "Voeg dit eerst toe aan de basisconfiguratie en overschrijf het daarna in het profiel", + "profileBase": "(basis)", + "profileOverride": "(overschrijving)", + "masks": { + "enabled": { + "title": "Ingeschakeld", + "description": "Of dit masker is ingeschakeld in het configuratiebestand. Als het is uitgeschakeld, kan het niet via MQTT worden ingeschakeld. Uitgeschakelde maskers worden tijdens runtime genegeerd." + } + } }, "motionDetectionTuner": { "title": "Bewegingsdetectie-afsteller", @@ -500,11 +546,11 @@ "objectList": "Objectenlijst", "noObjects": "Geen objecten", "boundingBoxes": { - "title": "Objectkaders", + "title": "Bewegingskaders", "desc": "Toon objectkaders rond gevolgde objecten", "colors": { "label": "Kleuren van objectkaders", - "info": "
  • Bij het opstarten wordt er een andere kleur toegewezen aan elk objectlabel.
  • Een dunne donkerblauwe lijn geeft aan dat het object op dit moment niet wordt gedetecteerd.
  • Een dunne grijze lijn geeft aan dat het object als stilstaand wordt herkend.
  • Een dikke lijn geeft aan dat het object het doelwit is van automatische tracking (indien ingeschakeld).
    • " + "info": "
  • Bij het opstarten wordt er een andere kleur toegewezen aan elk objectlabel
  • Een dunne donkerblauwe lijn geeft aan dat het object op dit moment niet wordt gedetecteerd
  • Een dunne grijze lijn geeft aan dat het object als stilstaand wordt herkend
  • Een dikke lijn geeft aan dat het object het doelwit is van automatische tracking (indien ingeschakeld)
    • " } }, "timestamp": { @@ -646,14 +692,14 @@ "desc": "Machtigingen bijwerken voor {{username}}", "title": "Gebruikersrol wijzigen", "roleInfo": { - "intro": "Selecteer een gepaste rol voor deze gebruiker:", + "intro": "Selectereneer een gepaste rol voor deze gebruiker:", "admin": "Beheerder", "adminDesc": "Volledige toegang tot alle functies.", "viewer": "Kijker", "viewerDesc": "Alleen toegang tot Live-dashboards, Beoordelen, Verkennen en Exports.", "customDesc": "Aangepaste rol met specifieke cameratoegang." }, - "select": "Selecteer een rol" + "select": "Selectereneer een rol" }, "passwordSetting": { "setPassword": "Wachtwoord instellen", @@ -681,7 +727,7 @@ "desc": "Webpushmeldingen vereisen een veilige omgeving (https://…). Dit is een beperking van de browser. Open Frigate via een beveiligde verbinding om meldingen te kunnen ontvangen." }, "globalSettings": { - "title": "Globale instellingen", + "title": "Globaale instellingen", "desc": "Meldingen voor specifieke camera's op alle geregistreerde apparaten tijdelijk uitschakelen." }, "email": { @@ -691,7 +737,7 @@ }, "cameras": { "noCameras": "Geen camera's beschikbaar", - "desc": "Selecteer voor welke camera's je meldingen wilt inschakelen.", + "desc": "Selectereneer voor welke camera's je meldingen wilt inschakelen.", "title": "Camera's" }, "deviceSpecific": "Apparaatspecifieke instellingen", @@ -760,6 +806,14 @@ "plusModelType": { "baseModel": "Basismodel", "userModel": "Verfijnd" + }, + "noModelLoaded": "Er is momenteel geen Frigate+-model geladen.", + "selectModel": "Selecteren a model", + "noModelsAvailable": "Geen modellen beschikbaar", + "filter": { + "ariaLabel": "Modellen filteren op type", + "baseModels": "Basismodellen", + "fineTunedModels": "Verfijnde modellen" } }, "toast": { @@ -767,7 +821,15 @@ "error": "Configuratiewijzigingen konden niet worden opgeslagen: {{errorMessage}}" }, "restart_required": "Herstart vereist (Frigate+ model gewijzigd)", - "unsavedChanges": "Niet-opgeslagen wijzigingen in Frigate+ instellingen" + "unsavedChanges": "Niet-opgeslagen wijzigingen in Frigate+ instellingen", + "description": "Frigate+ is een abonnementsdienst die toegang biedt tot extra functies en mogelijkheden voor je Frigate-installatie, waaronder het gebruik van aangepaste objectdetectiemodellen die op je eigen gegevens zijn getraind. Je kunt je Frigate+-modelinstellingen hier beheren.", + "cardTitles": { + "api": "API", + "currentModel": "Huidig model", + "otherModels": "Andere modellen", + "configuration": "Configuratie" + }, + "changeInDetectorsAndModel": "Van model wisselen" }, "enrichments": { "semanticSearch": { @@ -888,13 +950,13 @@ }, "type": { "title": "Type", - "placeholder": "Selecteer het type trigger", + "placeholder": "Selectereneer het type trigger", "description": "Activeer wanneer een vergelijkbare beschrijving van een gevolgd object wordt gedetecteerd", "thumbnail": "Activeer wanneer een vergelijkbare thumbnail van een gevolgd object wordt gedetecteerd" }, "content": { "title": "Inhoud", - "imagePlaceholder": "Selecteer een thumbnail", + "imagePlaceholder": "Selectereneer een thumbnail", "textPlaceholder": "Tekst invoeren", "imageDesc": "Alleen de meest recente 100 thumbnails worden weergegeven. Als je de gewenste thumbnail niet kunt vinden, bekijk dan eerdere objecten in Verkennen en stel daar een trigger in via het menu.", "textDesc": "Voer tekst in om deze actie te activeren wanneer een vergelijkbare beschrijving van een gevolgd object wordt gedetecteerd.", @@ -1013,7 +1075,7 @@ }, "cameras": { "title": "Camera's", - "desc": "Selecteer de camera's waartoe deze rol toegang heeft. Er is minimaal één camera vereist.", + "desc": "Selectereneer de camera's waartoe deze rol toegang heeft. Er is minimaal één camera vereist.", "required": "Er moet minimaal één camera worden geselecteerd." } } @@ -1052,9 +1114,9 @@ "usernamePlaceholder": "Optioneel", "password": "Wachtwoord", "passwordPlaceholder": "Optioneel", - "selectTransport": "Selecteer transportprotocol", + "selectTransport": "Selectereneer transportprotocol", "cameraBrand": "Cameramerk", - "selectBrand": "Selecteer cameramerk voor URL-sjabloon", + "selectBrand": "Selectereneer cameramerk voor URL-sjabloon", "customUrl": "Aangepaste stream-URL", "brandInformation": "Merkinformatie", "brandUrlFormat": "Voor camera's met het RTSP URL-formaat als: {{exampleUrl}}", @@ -1067,7 +1129,7 @@ "noSnapshot": "Er kan geen snapshot worden opgehaald uit de geconfigureerde stream." }, "errors": { - "brandOrCustomUrlRequired": "Selecteer een cameramerk met host/IP of kies 'Overig' voor een aangepaste URL", + "brandOrCustomUrlRequired": "Selectereneer een cameramerk met host/IP of kies 'Overig' voor een aangepaste URL", "nameRequired": "Cameranaam is vereist", "nameLength": "De cameranaam mag maximaal 64 tekens lang zijn", "invalidCharacters": "Cameranaam bevat ongeldige tekens", @@ -1137,7 +1199,7 @@ "retry": "Opnieuw proberen", "testing": { "probingMetadata": "Camera-metadata onderzoeken...", - "fetchingSnapshot": "Camerasnapshot ophalen..." + "fetchingSnapshot": "Camera'snapshot ophalen..." }, "probeFailed": "Het testen van de camera is mislukt: {{error}}", "probingDevice": "Onderzoekapparaat...", @@ -1208,19 +1270,19 @@ }, "ffmpegModule": "Gebruik stream-compatibiliteitsmodus", "ffmpegModuleDescription": "Als de stream na meerdere pogingen niet wordt geladen, probeer dit dan in te schakelen. Wanneer deze optie is ingeschakeld, gebruikt Frigate de ffmpeg-module samen met go2rtc. Dit kan zorgen voor een betere compatibiliteit met sommige camerastreams.", - "streamsTitle": "Camerastreams", + "streamsTitle": "Camera'streams", "addStream": "Stream toevoegen", "addAnotherStream": "Voeg een extra stream toe", "streamUrl": "Stream-URL", "streamUrlPlaceholder": "rtsp://gebruikersnaam:wachtwoord@host:poort/pad", - "selectStream": "Selecteer een stream", + "selectStream": "Selectereneer een stream", "searchCandidates": "Zoek kandidaten...", "noStreamFound": "Geen stream gevonden", "url": "URL", "resolution": "Resolutie", - "selectResolution": "Selecteer resolutie", + "selectResolution": "Selectereneer resolutie", "quality": "Kwaliteit", - "selectQuality": "Selecteer kwaliteit", + "selectQuality": "Selectereneer kwaliteit", "roleLabels": { "detect": "Objectdetectie", "record": "Opname", @@ -1291,7 +1353,8 @@ }, "hikvision": { "substreamWarning": "Substream 1 is beperkt tot een lage resolutie. Veel Hikvision-camera’s ondersteunen extra substreams die in de instellingen van de camera ingeschakeld moeten worden. Het wordt aanbevolen deze streams te controleren en te gebruiken indien beschikbaar." - } + }, + "resolutionUnknown": "De resolutie van deze stream kon niet worden uitgelezen. Stel de detectieresolutie handmatig in via Instellingen of in je configuratie." } } }, @@ -1299,11 +1362,22 @@ "title": "Camera’s beheren", "addCamera": "Nieuwe camera toevoegen", "editCamera": "Camera bewerken:", - "selectCamera": "Selecteer een camera", + "selectCamera": "Selectereneer een camera", "backToSettings": "Terug naar camera-instellingen", "streams": { "title": "Camera's in-/uitschakelen", - "desc": "Schakel een camera tijdelijk uit totdat Frigate opnieuw wordt gestart. Het uitschakelen van een camera stopt de verwerking van de streams van deze camera volledig door Frigate. Detectie, opname en foutopsporing zijn dan niet beschikbaar.
    Let op: dit schakelt go2rtc-restreams niet uit." + "desc": "Schakel een camera tijdelijk uit totdat Frigate opnieuw wordt gestart. Het uitschakelen van een camera stopt de verwerking van de streams van deze camera volledig door Frigate. Detectie, opname en foutopsporing zijn dan niet beschikbaar.
    Let op: dit schakelt go2rtc-restreams niet uit.", + "enableLabel": "Ingeschakeld cameras", + "enableDesc": "Schakel een ingeschakelde camera tijdelijk uit totdat Frigate opnieuw wordt gestart. Het uitschakelen van een camera stopt de verwerking van de streams van deze camera volledig. Detectie, opname en foutopsporing zijn dan niet beschikbaar.
    Let op: dit schakelt go2rtc-restreams niet uit.", + "disableLabel": "Uitgeschakeld cameras", + "disableDesc": "Schakel een camera in die momenteel niet zichtbaar is in de UI en is uitgeschakeld in de configuratie. Na het inschakelen is een herstart van Frigate vereist.", + "enableSuccess": "{{cameraName}} ingeschakeld in de configuratie. Herstart Frigate om de wijzigingen toe te passen.", + "friendlyName": { + "edit": "Cameranaam bewerken", + "title": "Weergavenaam bewerken", + "description": "Stel de vriendelijke naam in die voor deze camera in de Frigate-UI wordt weergegeven. Laat leeg om de camera-ID te gebruiken.", + "rename": "Hernoemen" + } }, "cameraConfig": { "add": "Camera toevoegen", @@ -1333,6 +1407,35 @@ "toast": { "success": "Camera {{cameraName}} is succesvol opgeslagen" } + }, + "description": "Voeg camera's toe, bewerk of verwijder ze, bepaal welke camera's zijn ingeschakeld en configureer overschrijvingen per profiel en cameratype. Kies voor streams, detectie, beweging en andere cameraspecifieke instellingen de betreffende sectie onder Cameraconfiguratie.", + "deleteCamera": "Verwijderen Camera", + "deleteCameraDialog": { + "title": "Verwijderen Camera", + "description": "Het verwijderen van een camera verwijdert permanent alle opnames, gevolgde objecten en configuratie voor die camera. Eventuele go2rtc-streams die aan deze camera zijn gekoppeld, moeten mogelijk nog handmatig worden verwijderd.", + "selectPlaceholder": "Kies camera...", + "confirmTitle": "Weet je het zeker?", + "confirmWarning": "Het verwijderen van {{cameraName}} kan niet ongedaan worden gemaakt.", + "deleteExports": "Verwijder ook exports voor deze camera", + "confirmButton": "Verwijderen Permanently", + "success": "Camera {{cameraName}} is succesvol verwijderd", + "error": "Kan camera {{cameraName}} niet verwijderen" + }, + "profiles": { + "title": "Profiel Camera Overrides", + "selectLabel": "Selecteren profile", + "description": "Configureer welke camera's zijn ingeschakeld of uitgeschakeld wanneer een profiel wordt geactiveerd. Camera's die op \"Overnemen\" staan, behouden hun basisstatus.", + "inherit": "Overnemen", + "enabled": "Ingeschakeld", + "disabled": "Uitgeschakeld" + }, + "cameraType": { + "title": "Cameratype", + "label": "Cameratype", + "description": "Stel het type voor elke camera in. Speciale LPR-camera's zijn camera's met één doel en krachtige optische zoom om kentekens van voertuigen op afstand vast te leggen. De meeste camera's moeten het normale cameratype gebruiken, tenzij de camera specifiek voor LPR is bedoeld en een nauwkeurig gericht beeld op kentekens heeft.", + "normal": "Normal", + "dedicatedLpr": "Speciale LPR", + "saveSuccess": "Cameratype voor {{cameraName}} bijgewerkt. Herstart Frigate om de wijzigingen toe te passen." } }, "cameraReview": { @@ -1365,7 +1468,7 @@ }, "unsavedChanges": "Niet-opgeslagen classificatie-instellingen voor {{camera}}", "selectAlertsZones": "Zones selecteren voor meldingen", - "selectDetectionsZones": "Selecteer zones voor detecties", + "selectDetectionsZones": "Selectereneer zones voor detecties", "limitDetections": "Beperk detecties tot specifieke zones", "toast": { "success": "Configuratie voor beoordelingsclassificatie is opgeslagen. Herstart Frigate om de wijzigingen toe te passen." @@ -1376,6 +1479,562 @@ "overriddenGlobal": "Overschreven (globaal)", "overriddenGlobalTooltip": "Deze camera heeft voorrang op de algemene configuratie-instellingen in dit gedeelte", "overriddenBaseConfig": "Overschreven (basis configuratie)", - "overriddenBaseConfigTooltip": "Het profiel {{profile}} heeft voorrang op de configuratie-instellingen in dit gedeelte" + "overriddenBaseConfigTooltip": "Het profiel {{profile}} heeft voorrang op de configuratie-instellingen in dit gedeelte", + "overriddenGlobalHeading_one": "Deze camera overschrijft {{count}} veld uit de globale configuratie:", + "overriddenGlobalHeading_other": "Deze camera overschrijft {{count}} velden uit de globale configuratie:", + "overriddenGlobalNoDeltas": "Deze camera overschrijft de globale configuratie, maar er zijn geen afwijkende veldwaarden.", + "overriddenBaseConfigHeading_one": "Het profiel {{profile}} overschrijft {{count}} veld uit de basisconfiguratie:", + "overriddenBaseConfigHeading_other": "Het profiel {{profile}} overschrijft {{count}} velden uit de basisconfiguratie:", + "overriddenBaseConfigNoDeltas": "Het profiel {{profile}} overschrijft deze sectie, maar er zijn geen afwijkende veldwaarden ten opzichte van de basisconfiguratie.", + "overriddenInCameras": { + "label_one": "Overschreven in {{count}} camera", + "label_other": "Overschreven in {{count}} camera's", + "tooltip_one": "{{count}} camera overschrijft waarden in deze sectie. Klik om details te bekijken.", + "tooltip_other": "{{count}} camera's overschrijven waarden in deze sectie. Klik om details te bekijken.", + "heading_one": "Deze globale sectie bevat velden die in {{count}} camera worden overschreven.", + "heading_other": "Deze globale sectie bevat velden die in {{count}} camera's worden overschreven.", + "othersField_one": "{{count}} andere", + "othersField_other": "{{count}} andere", + "profilePrefix": "{{profile}}-profiel: {{fields}}" + } + }, + "saveAllPreview": { + "title": "Wijzigingen die worden opgeslagen", + "triggerLabel": "Beoordeling pending changes", + "empty": "Geen openstaande wijzigingen.", + "scope": { + "label": "Bereik", + "global": "Globaal", + "camera": "Camera: {{cameraName}}" + }, + "profile": { + "label": "Profiel" + }, + "field": { + "label": "Veld" + }, + "value": { + "label": "Nieuwe waarde", + "reset": "Resetten" + } + }, + "timestampPosition": { + "tl": "Linksboven", + "tr": "Rechtsboven", + "bl": "Linksonder", + "br": "Rechtsonder" + }, + "detectorsAndModel": { + "title": "Detectoren en model", + "description": "Configureer de detector-backend die objectdetectie uitvoert en het model dat daarbij wordt gebruikt. Wijzigingen worden samen opgeslagen zodat de detector en het model gesynchroniseerd blijven.", + "cardTitles": { + "detector": "Detector-hardware", + "model": "Detectie Model" + }, + "tabs": { + "plus": "Frigate+", + "custom": "Aangepast Model" + }, + "mismatch": { + "warning": "Het huidige Frigate+-model \"{{model}}\" vereist de {{required}}-detector. Kies hieronder een compatibel model of schakel over naar Aangepast model voordat je opslaat." + }, + "plusModel": { + "requiresDetector": "Vereist: {{detector}}", + "noModelSelected": "Selecteren a Frigate+ model" + }, + "toast": { + "saveSuccess": "Detector- en modelinstellingen zijn opgeslagen. Herstart Frigate om de wijzigingen toe te passen.", + "saveError": "Kan detector- en modelinstellingen niet opslaan" + }, + "unsavedChanges": "Niet-opgeslagen wijzigingen aan detector en model", + "restartRequired": "Herstart vereist (detector of model gewijzigd)" + }, + "maintenance": { + "title": "Onderhoud", + "sync": { + "title": "Media synchroniseren", + "desc": "Frigate ruimt media periodiek op volgens je retentieconfiguratie. Het is normaal dat er tijdens het gebruik van Frigate enkele verweesde bestanden ontstaan. Gebruik deze functie om verweesde mediabestanden van de schijf te verwijderen die niet langer in de database worden gebruikt.", + "started": "De mediasynchronisatie is gestart.", + "alreadyRunning": "Er wordt al een synchronisatietaak uitgevoerd", + "error": "Kan synchronisatie niet starten", + "currentStatus": "Status", + "jobId": "Verwerkingsnummer", + "startTime": "Starttijd", + "endTime": "Eindtijd", + "statusLabel": "Status", + "results": "Resultaten", + "errorLabel": "Fout", + "mediaTypes": "Mediatypen", + "allMedia": "Alle media", + "dryRun": "Proefdraaien", + "dryRunEnabled": "Er worden geen bestanden verwijderd", + "dryRunDisabled": "Bestanden worden verwijderd", + "force": "Gedwongen", + "forceDesc": "Negeer de veiligheidsdrempel en voltooi de synchronisatie, zelfs als meer dan 50% van de bestanden zou worden verwijderd.", + "verbose": "Uitgebreid", + "verboseDesc": "Schrijf een volledige lijst van verweesde bestanden naar de schijf ter controle.", + "running": "Synchroniseren bezig...", + "start": "Synchronisatie starten", + "inProgress": "Synchronisatie is bezig. Deze pagina is uitgeschakeld.", + "status": { + "queued": "In de wachtrij", + "running": "Bezig", + "completed": "Voltooid", + "failed": "Mislukt", + "notRunning": "Niet actief" + }, + "resultsFields": { + "filesChecked": "Gecontroleerde bestanden", + "orphansFound": "Wezen gevonden", + "orphansDeleted": "Orphans Verwijderend", + "aborted": "Afgebroken. Het verwijderen zou de veiligheidsdrempel overschrijden.", + "error": "Fout", + "totals": "Totalen" + }, + "event_snapshots": "Snapshots van gevolgde objecten", + "event_thumbnails": "Thumbnails van gevolgde objecten", + "review_thumbnails": "Beoordeling Thumbnails", + "previews": "Vooruitblikken", + "exports": "Exports", + "recordings": "Opnames" + }, + "regionGrid": { + "title": "Regio-raster", + "desc": "Het region grid is een optimalisatie die leert waar objecten van verschillende groottes meestal verschijnen in het gezichtsveld van elke camera. Frigate gebruikt deze gegevens om detectieregio's efficiënt te schalen. Het grid wordt na verloop van tijd automatisch opgebouwd uit gegevens van gevolgde objecten.", + "clear": "Raster van de regio wissen", + "clearConfirmTitle": "Raster van de regio wissen", + "clearConfirmDesc": "Het wissen van het region grid wordt niet aanbevolen, tenzij je onlangs de modelgrootte van je detector hebt gewijzigd of de fysieke positie van je camera hebt aangepast en problemen hebt met objecttracking. Het grid wordt na verloop van tijd automatisch opnieuw opgebouwd terwijl objecten worden gevolgd. Een herstart van Frigate is vereist om de wijzigingen toe te passen.", + "clearSuccess": "Het raster van de regio is succesvol gewist", + "clearError": "Kan region grid niet wissen", + "restartRequired": "Herstart vereist om wijzigingen aan het region grid toe te passen" + } + }, + "configForm": { + "global": { + "title": "Globaal Instellingen", + "description": "Deze instellingen gelden voor alle camera's, tenzij ze worden overschreven in de cameraspecifieke instellingen." + }, + "camera": { + "title": "Camera Instellingen", + "description": "Deze instellingen gelden alleen voor deze camera en overschrijven de globale instellingen.", + "noCameras": "Geen camera's beschikbaar" + }, + "advancedSettingsCount": "Advanced Instellingen ({{count}})", + "advancedCount": "Geavanceerd ({{count}})", + "showAdvanced": "Show Advanced Instellingen", + "tabs": { + "sharedDefaults": "Shared Standaards", + "system": "System", + "integrations": "Integraties" + }, + "additionalProperties": { + "keyLabel": "Sleutel", + "valueLabel": "Waarde", + "keyPlaceholder": "Nieuwe sleutel", + "remove": "Verwijderen" + }, + "knownPlates": { + "namePlaceholder": "bijv. de auto van mijn vrouw", + "platePlaceholder": "Kenteken of reguliere expressie" + }, + "timezone": { + "defaultOption": "Tijdzone van browser gebruiken" + }, + "roleMap": { + "empty": "Geen rolkoppelingen", + "roleLabel": "Role", + "groupsLabel": "Groepen", + "addMapping": "Rolkoppeling toevoegen", + "remove": "Verwijderen" + }, + "ffmpegArgs": { + "preset": "Voorinstelling", + "manual": "Handmatige argumenten", + "inherit": "Overnemen van camera-instelling", + "none": "Geen", + "useGlobalSetting": "Overnemen uit algemene instelling", + "selectPreset": "Selecteren preset", + "manualPlaceholder": "Voer FFmpeg-argumenten in", + "presetLabels": { + "preset-rpi-64-h264": "Raspberry Pi (H.264)", + "preset-rpi-64-h265": "Raspberry Pi (H.265)", + "preset-vaapi": "VAAPI (Intel/AMD GPU)", + "preset-intel-qsv-h264": "Intel QuickSync (H.264)", + "preset-intel-qsv-h265": "Intel QuickSync (H.265)", + "preset-nvidia": "NVIDIA GPU", + "preset-jetson-h264": "NVIDIA Jetson (H.264)", + "preset-jetson-h265": "NVIDIA Jetson (H.265)", + "preset-rkmpp": "Rockchip RKMPP", + "preset-http-jpeg-generic": "HTTP JPEG (Generiek)", + "preset-http-mjpeg-generic": "HTTP MJPEG (Generiek)", + "preset-http-reolink": "HTTP - Reolink Camera's", + "preset-rtmp-generic": "RTMP (Generiek)", + "preset-rtsp-generic": "RTSP (Generiek)", + "preset-rtsp-restream": "RTSP - her-stream van go2rtc", + "preset-rtsp-restream-low-latency": "RTSP - her-stream van go2rtc (Lage latentie)", + "preset-rtsp-udp": "RTSP - UDP", + "preset-rtsp-blue-iris": "RTSP - Blue Iris", + "preset-record-generic": "Opnemen (generiek, geen audio)", + "preset-record-generic-audio-copy": "Opnemen (Generiek + Audio kopiëren)", + "preset-record-generic-audio-aac": "Opnemen (generiek + audio naar AAC)", + "preset-record-mjpeg": "Record - MJPEG Camera's", + "preset-record-jpeg": "Record - JPEG Camera's", + "preset-record-ubiquiti": "Record - Ubiquiti Camera's" + } + }, + "cameraInputs": { + "itemTitle": "Stream {{index}}" + }, + "restartRequiredField": "Herstart vereist", + "restartRequiredFooter": "Configuratie changed - Restart required", + "sections": { + "detect": "Detectie", + "record": "Opname", + "snapshots": "Snapshots", + "motion": "Beweging", + "objects": "Objecten", + "review": "Beoordeling", + "audio": "Audio", + "notifications": "Meldingen", + "live": "Live weergaven", + "timestamp_style": "Tijdstempels", + "mqtt": "MQTT", + "database": "Database", + "telemetry": "Telemetrie", + "auth": "Authenticatie", + "tls": "TLS", + "proxy": "Proxy", + "go2rtc": "go2rtc", + "ffmpeg": "FFmpeg", + "detectors": "Detectoren", + "model": "Model", + "semantic_search": "Semantic Zoeken", + "genai": "GenAI", + "face_recognition": "Gezichtsherkenning", + "lpr": "Kentekenherkenning", + "birdseye": "Birdseye", + "masksAndZones": "Maskers / Zones" + }, + "detect": { + "title": "Detectie Instellingen" + }, + "detectors": { + "title": "Detector Instellingen", + "singleType": "Er is slechts één {{type}}-detector toegestaan.", + "keyRequired": "Detectornaam is vereist.", + "keyDuplicate": "De naam van de detector bestaat al.", + "noSchema": "Geen detectorschema's beschikbaar.", + "none": "Geen detectorinstanties geconfigureerd.", + "add": "Detector toevoegen", + "addCustomKey": "Aangepaste sleutel toevoegen" + }, + "record": { + "title": "Opname Instellingen" + }, + "snapshots": { + "title": "Snapshot Instellingen" + }, + "motion": { + "title": "Beweging Instellingen" + }, + "objects": { + "title": "Object Instellingen" + }, + "audioLabels": { + "summary": "{{count}} audiolabels geselecteerd", + "empty": "Geen audiolabels beschikbaar" + }, + "objectLabels": { + "summary": "{{count}} objecttypen geselecteerd", + "empty": "Geen objectlabels beschikbaar" + }, + "reviewLabels": { + "summary": "{{count}} labels geselecteerd", + "empty": "Geen labels beschikbaar" + }, + "filters": { + "objectFieldLabel": "{{field}} voor {{label}}" + }, + "zoneNames": { + "summary": "{{count}} geselecteerd", + "empty": "Geen zones beschikbaar" + }, + "inputRoles": { + "summary": "{{count}} rollen geselecteerd", + "empty": "Geen rollen beschikbaar", + "options": { + "detect": "Detecteren", + "record": "Opnemen", + "audio": "Audio" + } + }, + "genaiRoles": { + "options": { + "embeddings": "Embedding", + "descriptions": "Beschrijvingen", + "chat": "Chat" + } + }, + "semanticSearchModel": { + "placeholder": "Selecteren model…", + "builtIn": "Ingebouwde modellen", + "genaiProviders": "Aanbieders van generatieve AI" + }, + "review": { + "title": "Beoordeling Instellingen" + }, + "audio": { + "title": "Audio Instellingen" + }, + "notifications": { + "title": "Melding Instellingen" + }, + "live": { + "title": "Live View Instellingen" + }, + "timestamp_style": { + "title": "Timestamp Instellingen" + }, + "searchPlaceholder": "Zoeken...", + "addCustomLabel": "Aangepast label toevoegen...", + "genaiModel": { + "placeholder": "Selecteren model…", + "search": "Zoeken models…", + "noModels": "Geen modellen beschikbaar" + } + }, + "globalConfig": { + "title": "Globaal Configuratie", + "description": "Configureer globale instellingen die op alle camera's van toepassing zijn, tenzij ze worden overschreven.", + "toast": { + "success": "Globaal settings saved successfully", + "error": "Kan globale instellingen niet opslaan", + "validationError": "Validatie is mislukt" + } + }, + "cameraConfig": { + "title": "Camera Configuratie", + "description": "Configure settings for individual cameras. Instellingen override global defaults.", + "overriddenBadge": "Overschreven", + "resetToGlobal": "Resetten to Globaal", + "toast": { + "success": "Camera-instellingen zijn succesvol opgeslagen", + "error": "Kan camera-instellingen niet opslaan" + } + }, + "toast": { + "success": "Instellingen saved successfully", + "applied": "Instellingen applied successfully", + "successRestartRequired": "Instellingen saved successfully. Restart Frigate to apply your changes.", + "error": "Kan instellingen niet opslaan", + "validationError": "Validatie mislukt: {{message}}", + "resetSuccess": "Resetten to global defaults", + "resetError": "Kan instellingen niet resetten", + "saveAllSuccess_one": "Opslaand {{count}} section successfully.", + "saveAllSuccess_other": "Alle {{count}} secties zijn succesvol opgeslagen.", + "saveAllPartial_one": "{{successCount}} van {{totalCount}} sectie opgeslagen. {{failCount}} mislukt.", + "saveAllPartial_other": "{{successCount}} van {{totalCount}} secties opgeslagen. {{failCount}} mislukt.", + "saveAllFailure": "Kan niet alle secties opslaan." + }, + "profiles": { + "title": "Profielen", + "activeProfile": "Active Profiel", + "noActiveProfile": "Geen actief profiel", + "active": "Active", + "activated": "Profiel '{{profile}}' activated", + "activateFailed": "Kan profiel niet instellen", + "deactivated": "Profiel deactivated", + "noProfiles": "Geen profielen gedefinieerd.", + "noOverrides": "Geen overschrijvingen", + "cameraCount_one": "{{count}} camera", + "cameraCount_other": "{{count}} cameras", + "columnCamera": "Camera", + "columnOverrides": "Profiel Overrides", + "baseConfig": "Basisconfiguratie", + "addProfile": "Toevoegen Profiel", + "newProfile": "New Profiel", + "profileNamePlaceholder": "bijv. Ingeschakeld, Afwezig, Nachtmodus", + "friendlyNameLabel": "Profiel Name", + "profileIdLabel": "Profiel ID", + "profileIdDescription": "Interne identificatie die wordt gebruikt in configuratie en automatiseringen", + "nameInvalid": "Alleen kleine letters, cijfers en onderstrepingstekens zijn toegestaan", + "nameDuplicate": "Er bestaat al een profiel met deze naam", + "error": { + "mustBeAtLeastTwoCharacters": "Moet minimaal 2 tekens bevatten", + "mustNotContainPeriod": "Mag geen punten bevatten", + "alreadyExists": "Er bestaat al een profiel met deze ID" + }, + "renameProfile": "Rename Profiel", + "renameSuccess": "Profiel renamed to '{{profile}}'", + "deleteProfile": "Verwijderen Profiel", + "deleteProfileConfirm": "Profiel \"{{profile}}\" van alle camera's verwijderen? Dit kan niet ongedaan worden gemaakt.", + "deleteSuccess": "Profiel '{{profile}}' deleted", + "createSuccess": "Profiel '{{profile}}' created", + "removeOverride": "Verwijderen Profiel Override", + "deleteSection": "Verwijderen Section Overrides", + "deleteSectionConfirm": "De {{section}}-overschrijvingen voor profiel {{profile}} op {{camera}} verwijderen?", + "deleteSectionSuccess": "{{section}}-overschrijvingen voor {{profile}} verwijderd", + "enableSwitch": "Enable Profielen", + "enabledDescription": "Profielen zijn ingeschakeld. Maak hieronder een nieuw profiel aan, ga naar een cameraconfiguratiesectie om je wijzigingen aan te brengen en sla op om de wijzigingen toe te passen.", + "disabledDescription": "Met profielen kun je benoemde sets van cameraconfiguratie-overschrijvingen definiëren (bijv. ingeschakeld, afwezig, nacht) die op verzoek kunnen worden geactiveerd." + }, + "unsavedChanges": "Er zijn wijzigingen die nog niet zijn opgeslagen", + "confirmReset": "Confirm Resetten", + "resetToDefaultDescription": "Dit zet alle instellingen in deze sectie terug naar hun standaardwaarden. Deze actie kan niet ongedaan worden gemaakt.", + "resetToGlobalDescription": "Dit zet de instellingen in deze sectie terug naar de globale standaardwaarden. Deze actie kan niet ongedaan worden gemaakt.", + "go2rtcStreams": { + "title": "go2rtc Streams", + "description": "Beheer go2rtc-streamconfiguraties voor het restreamen van camera's. Elke stream heeft een naam en één of meer bron-URL's.", + "addStream": "Stream toevoegen", + "addStreamDesc": "Voer een naam in voor de nieuwe stream. Deze naam wordt gebruikt om naar de stream te verwijzen in je cameraconfiguratie.", + "addUrl": "URL toevoegen", + "streamName": "Stream naam", + "streamNamePlaceholder": "bijv. voor_deur", + "streamUrlPlaceholder": "bijv, rtsp://user:pass@192.168.1.100/stream", + "deleteStream": "Verwijderen stream", + "deleteStreamConfirm": "Weet je zeker dat je de stream \"{{streamName}}\" wilt verwijderen? Camera's die naar deze stream verwijzen, werken mogelijk niet meer.", + "noStreams": "Geen go2rtc-streams geconfigureerd. Voeg een stream toe om te beginnen.", + "validation": { + "nameRequired": "Streamnaam is vereist", + "nameDuplicate": "Er bestaat al een stream met deze naam", + "nameInvalid": "Streamnaam mag alleen letters, cijfers, onderstrepingstekens en koppeltekens bevatten", + "urlRequired": "Er is minimaal één URL vereist" + }, + "renameStream": "Stream hernoemen", + "renameStreamDesc": "Voer een nieuwe naam in voor deze stream. Het hernoemen van een stream kan camera's of andere streams die er op naam naar verwijzen verstoren.", + "newStreamName": "Nieuwe stream naam", + "ffmpeg": { + "useFfmpegModule": "Compatibiliteitsmodus gebruiken (ffmpeg)", + "video": "Video", + "audio": "Audio", + "hardware": "Hardware-versnelling", + "videoCopy": "Kopiëren", + "videoH264": "Transcoderen naar H.264", + "videoH265": "Transcoderen naar H.265", + "videoExclude": "Uitsluiten", + "audioCopy": "Kopiëren", + "audioAac": "Transcoderen naar AAC", + "audioOpus": "Transcoderen naar Opus", + "audioPcmu": "Transcoderen naar PCM μ-law", + "audioPcma": "Transcoderen naar PCM A-law", + "audioPcm": "Transcoderen naar PCM", + "audioMp3": "Transcoderen naar MP3", + "audioExclude": "Uitsluiten", + "hardwareNone": "Geen hardwareversnelling", + "hardwareAuto": "Automatische hardware-versnelling" + } + }, + "birdseye": { + "trackingMode": { + "objects": "Objecten", + "motion": "Beweging", + "continuous": "Doorlopend" + } + }, + "retainMode": { + "all": "Alle", + "motion": "Beweging", + "active_objects": "Active Objecten" + }, + "previewQuality": { + "very_high": "Zeer hoog", + "high": "High", + "medium": "Medium", + "low": "Low", + "very_low": "Zeer laag" + }, + "ui": { + "timeFormat": { + "browser": "Browser", + "12hour": "12 uur", + "24hour": "24 uur" + }, + "TimeOrDateStyle": { + "full": "Full", + "long": "Lang", + "medium": "Medium", + "short": "Kort" + }, + "unitSystem": { + "metric": "Metrisch", + "imperial": "Imperial" + } + }, + "review": { + "imageSource": { + "recordings": "Opnames", + "previews": "Voorbeelden" + } + }, + "logger": { + "logLevel": { + "debug": "Foutopsporing", + "info": "Info", + "warning": "Waarschuwing", + "error": "Fout", + "critical": "Kritisch" + } + }, + "onvif": { + "profileAuto": "Auto", + "profileLoading": "Profielen laden...", + "autotracking": { + "zooming": { + "disabled": "Uitgeschakeld", + "absolute": "Absoluut", + "relative": "Relatief" + } + } + }, + "modelSize": { + "small": "Klein", + "large": "Large" + }, + "configMessages": { + "review": { + "recordDisabled": "Opname is disabled, review items will not be generated.", + "detectDisabled": "Object detection is disabled. Beoordeling items require detected objects to categorize alerts and detections.", + "allNonAlertDetections": "Alle activiteit die geen melding is, wordt opgenomen als detecties.", + "genaiImageSourceRecordingsRecordDisabled": "De afbeeldingsbron is ingesteld op 'recordings', maar opnemen is uitgeschakeld. Frigate valt terug op voorbeeldafbeeldingen." + }, + "audio": { + "noAudioRole": "Er zijn geen streams met de audiorol gedefinieerd. Je moet de audiorol inschakelen om audiodetectie te laten werken." + }, + "audioTranscription": { + "audioDetectionDisabled": "Audiodetectie is niet ingeschakeld voor deze camera. Audiotranscriptie vereist dat audiodetectie actief is." + }, + "detect": { + "fpsGreaterThanFive": "Het instellen van de detectie-FPS hoger dan 5 wordt niet aanbevolen. Hogere waarden kunnen prestatieproblemen veroorzaken en leveren geen voordeel op.", + "disabled": "Objectdetectie is uitgeschakeld. Snapshots, beoordelingsitems en verrijkingen zoals gezichtsherkenning, kentekenherkenning en generatieve AI werken dan niet." + }, + "objects": { + "genaiNoDescriptionsProvider": "Je moet een GenAI-provider configureren met de rol 'descriptions' om beschrijvingen te kunnen genereren." + }, + "faceRecognition": { + "globalDisabled": "De verrijking voor gezichtsherkenning moet zijn ingeschakeld om gezichtsherkenningsfuncties op deze camera te laten werken.", + "personNotTracked": "Gezichtsherkenning vereist dat het object 'person' wordt gevolgd. Schakel 'person' in bij Objecten voor deze camera.", + "modelSizeLarge": "Het 'large'-model vereist een GPU of NPU voor redelijke prestaties. Gebruik 'small' op systemen met alleen een CPU." + }, + "lpr": { + "globalDisabled": "De verrijking voor kentekenherkenning moet zijn ingeschakeld om LPR-functies op deze camera te laten werken.", + "vehicleNotTracked": "Kentekenherkenning vereist dat 'car' of 'motorcycle' wordt gevolgd. Schakel 'car' of 'motorcycle' in bij Objecten voor deze camera.", + "modelSizeLarge": "Het 'large'-model is geoptimaliseerd voor kentekenplaten met meerdere regels. Het 'small'-model presteert beter dan 'large' en moet worden gebruikt tenzij jouw regio kentekenformaten met meerdere regels gebruikt." + }, + "record": { + "noRecordRole": "Er zijn geen streams met de opnamerol gedefinieerd. Opnemen werkt dan niet." + }, + "birdseye": { + "objectsModeDetectDisabled": "Birdseye staat ingesteld op de modus 'objects', maar objectdetectie is uitgeschakeld voor deze camera. De camera wordt niet weergegeven in Birdseye." + }, + "snapshots": { + "detectDisabled": "Objectdetectie is uitgeschakeld. Snapshots worden gegenereerd uit gevolgde objecten en worden daarom niet aangemaakt." + }, + "detectors": { + "mixedTypes": "Alle detectoren moeten hetzelfde type gebruiken. Verwijder bestaande detectoren om een ander type te gebruiken.", + "mixedTypesSuggestion": "Alle detectoren moeten hetzelfde type gebruiken. Verwijder bestaande detectoren of selecteer {{type}}." + }, + "semanticSearch": { + "jinav2SmallModelSize": "De 'small'-grootte met het Jina V2-model heeft hoge RAM- en inferentiekosten. Het 'large'-model met een aparte GPU wordt aanbevolen." + } } } diff --git a/web/public/locales/pl/common.json b/web/public/locales/pl/common.json index e6fea5b424..9007e9cd50 100644 --- a/web/public/locales/pl/common.json +++ b/web/public/locales/pl/common.json @@ -260,7 +260,8 @@ "help": "Pomoc", "settings": "Ustawienia", "export": "Eksportuj", - "classification": "Klasyfikacja" + "classification": "Klasyfikacja", + "profiles": "Profile" }, "role": { "viewer": "Przeglądający", diff --git a/web/public/locales/pl/components/player.json b/web/public/locales/pl/components/player.json index 227813f9c9..3cadb947f5 100644 --- a/web/public/locales/pl/components/player.json +++ b/web/public/locales/pl/components/player.json @@ -33,7 +33,8 @@ "noPreviewFoundFor": "Nie znaleziono podglądu dla {{cameraName}}", "submitFrigatePlus": { "title": "Wyślij tę klatkę do Frigate+?", - "submit": "Wyślij" + "submit": "Wyślij", + "previewError": "Nie udało się załadować podglądu nagrania. Nagranie może być niedostępne w podanym czasie." }, "livePlayerRequiredIOSVersion": "Wymagana wersja iOS 17.1 lub nowsza dla tego typu transmisji na żywo.", "streamOffline": { diff --git a/web/public/locales/pl/config/global.json b/web/public/locales/pl/config/global.json index ed12af3c70..ff2108fcbd 100644 --- a/web/public/locales/pl/config/global.json +++ b/web/public/locales/pl/config/global.json @@ -38,6 +38,35 @@ } }, "version": { - "label": "Aktualna wersja" + "label": "Bieżąca wersja konfiguracji", + "description": "Liczbowa lub znakowa wersja aktywnej konfiguracji w celu wykrywania migracji lub zmiany formatu." + }, + "safe_mode": { + "label": "Tryb bezpieczny", + "description": "Po włączeniu Frigate uruchomi się w trybie awaryjnym z ograniczonymi funkcjami, co ułatwi rozwiązywanie problemów." + }, + "environment_vars": { + "label": "Zmienne środowiskowe", + "description": "Pary klucz-wartość zmiennych środowiskowych, które należy ustawić dla procesu Frigate w systemie Home Assistant. Użytkownicy niekorzystający z Home Assistant powinni zamiast tego skorzystać z konfiguracji zmiennych środowiskowych w Dockerze." + }, + "logger": { + "label": "Rejestrowanie", + "description": "Konfiguracja domyślnej szczegółowości logów oraz indywidualnych ustawień dla komponentów.", + "default": { + "label": "Poziom szczegółowości logów", + "description": "Domyślny poziom szczegółowości logów globalnych (debug, info, warning, error)." + }, + "logs": { + "label": "Poziom logowania dla poszczególnych procesów", + "description": "Zmiana poziomu logowania dla poszczególnych komponentów w celu zwiększenia lub zmniejszenia szczegółowości logów dla określonych modułów." + } + }, + "auth": { + "label": "Uwierzytelnianie", + "description": "Ustawienia związane z uwierzytelnianiem i sesjami, w tym opcje dotyczące plików cookie i ograniczeń częstotliwości.", + "enabled": { + "label": "Włącz uwierzytelnianie", + "description": "Włącz natywne uwierzytelnianie dla interfejsu Frigate." + } } } diff --git a/web/public/locales/pl/config/groups.json b/web/public/locales/pl/config/groups.json index 0967ef424b..1d6d94b34e 100644 --- a/web/public/locales/pl/config/groups.json +++ b/web/public/locales/pl/config/groups.json @@ -1 +1,73 @@ -{} +{ + "audio": { + "global": { + "detection": "Ogólne Wykrywanie", + "sensitivity": "Ogólna Czułość" + }, + "cameras": { + "detection": "Wykrywanie", + "sensitivity": "Czułość" + } + }, + "timestamp_style": { + "global": { + "appearance": "Ogólny Wygląd" + }, + "cameras": { + "appearance": "Wygląd" + } + }, + "motion": { + "global": { + "sensitivity": "Ogólna Czułość", + "algorithm": "Ogólny Algorytm" + }, + "cameras": { + "sensitivity": "Czułość", + "algorithm": "Algorytm" + } + }, + "snapshots": { + "global": { + "display": "Ogólne Ustawienia Wyświetlania" + }, + "cameras": { + "display": "Wyświetlanie" + } + }, + "detect": { + "global": { + "resolution": "Ogólna Rozdzielczość", + "tracking": "Ogólne Śledzenie" + }, + "cameras": { + "resolution": "Rozdzielczość", + "tracking": "Śledzenie" + } + }, + "objects": { + "global": { + "tracking": "Ogólne Śledzenie", + "filtering": "Ogólne Filtrowanie" + }, + "cameras": { + "tracking": "Śledzenie", + "filtering": "Filtrowanie" + } + }, + "record": { + "global": { + "retention": "Ogólne Przechowywanie", + "events": "Ogólne Zdarzenia" + }, + "cameras": { + "retention": "Przechowywanie", + "events": "Zdarzenia" + } + }, + "ffmpeg": { + "cameras": { + "cameraFfmpeg": "Argumenty FFmpeg dotyczące konkretnej kamery" + } + } +} diff --git a/web/public/locales/pl/config/validation.json b/web/public/locales/pl/config/validation.json index 0967ef424b..cded1fbb3d 100644 --- a/web/public/locales/pl/config/validation.json +++ b/web/public/locales/pl/config/validation.json @@ -1 +1,18 @@ -{} +{ + "minimum": "Musi wynosić przynajmniej {{limit}}", + "maximum": "Może wynosić najwyżej {{limit}}", + "exclusiveMinimum": "Musi być większe niż {{limit}}", + "exclusiveMaximum": "Musi być mniejsze niż {{limit}}", + "minLength": "Musi być co najmniej {{limit}} znaków", + "maxLength": "Maksymalnie może być {{limit}} znaków", + "minItems": "Musi zawierać co najmniej {{limit}} pozycji", + "maxItems": "Maksymalnie {{limit}} pozycji", + "pattern": "Nieprawidłowy format", + "required": "To pole jest obowiązkowe", + "type": "Nieprawidłowy typ wartości", + "enum": "Musi to być jedna z dozwolonych wartości", + "const": "Wartość niezgodna z oczekiwaną stałą", + "uniqueItems": "Wszystkie pozycje muszą być unikalne", + "format": "Nieprawidłowy format", + "additionalProperties": "Nieznana właściwość jest niedozwolona" +} diff --git a/web/public/locales/pl/views/chat.json b/web/public/locales/pl/views/chat.json new file mode 100644 index 0000000000..f16ccc2c32 --- /dev/null +++ b/web/public/locales/pl/views/chat.json @@ -0,0 +1,4 @@ +{ + "documentTitle": "Czat - Frigate", + "title": "Frigate Czat" +} diff --git a/web/public/locales/pl/views/classificationModel.json b/web/public/locales/pl/views/classificationModel.json index bb29f4598a..a56cd62b3c 100644 --- a/web/public/locales/pl/views/classificationModel.json +++ b/web/public/locales/pl/views/classificationModel.json @@ -17,12 +17,12 @@ }, "toast": { "success": { - "deletedCategory_one": "Usunięte klasy", - "deletedCategory_few": "", - "deletedCategory_many": "", - "deletedImage_one": "Usunięte obrazy", - "deletedImage_few": "", - "deletedImage_many": "", + "deletedCategory_one": "Usunięto {{count}} klasę", + "deletedCategory_few": "Usunięto {{count}} klasy", + "deletedCategory_many": "Usunięto {{count}} klas", + "deletedImage_one": "Usunięto {{count}} obraz", + "deletedImage_few": "Usunięto {{count}} obrazy", + "deletedImage_many": "Usunięto {{count}} obrazów", "deletedModel_one": "Pomyślenie usunięto {{count}} model", "deletedModel_few": "Pomyślenie usunięto {{count}} modele", "deletedModel_many": "Pomyślenie usunięto {{count}} modeli", diff --git a/web/public/locales/pl/views/events.json b/web/public/locales/pl/views/events.json index 0ffc5419f3..1e85b72650 100644 --- a/web/public/locales/pl/views/events.json +++ b/web/public/locales/pl/views/events.json @@ -16,7 +16,9 @@ "description": "Elementy przeglądu można tworzyć dla kamery tylko wtedy, gdy dla tej kamery włączono nagrywanie." } }, - "timeline": "Oś czasu", + "timeline": { + "label": "Oś czasu" + }, "timeline.aria": "Wybierz oś czasu", "events": { "label": "Zdarzenia", diff --git a/web/public/locales/pl/views/explore.json b/web/public/locales/pl/views/explore.json index d18d065b85..3dfe9f509e 100644 --- a/web/public/locales/pl/views/explore.json +++ b/web/public/locales/pl/views/explore.json @@ -85,7 +85,8 @@ "attributes": "Atrybuty klasyfikacji", "title": { "label": "Tytuł" - } + }, + "scoreInfo": "Informacje o wyniku" }, "objectLifecycle": { "annotationSettings": { @@ -222,6 +223,13 @@ }, "hideObjectDetails": { "label": "Ukryj ścieżkę obiektu" + }, + "debugReplay": { + "label": "Odtwarzanie debugowania", + "aria": "Wyświetl śledzony obiekt w widoku odtwarzania debugowania" + }, + "more": { + "aria": "Więcej" } }, "trackedObjectsCount_one": "{{count}} śledzony obiekt ", @@ -232,6 +240,9 @@ "confirmDelete": { "desc": "Usunięcie tego śledzonego obiektu usuwa zrzut ekranu, wszelkie zapisane osadzenia i wszystkie powiązane wpisy śledzenia obiektu. Nagrany materiał tego śledzonego obiektu w widoku Historii NIE zostanie usunięty.

    Czy na pewno chcesz kontynuować?", "title": "Potwierdź usunięcie" + }, + "toast": { + "error": "Błąd kasowania śledzonego obiektu: {{errorMessage}}" } }, "fetchingTrackedObjectsFailed": "Błąd pobierania śledzonych obiektów: {{errorMessage}}", @@ -276,7 +287,10 @@ "zones": "Strefy", "area": "Powierzchnia", "score": "Wynik", - "ratio": "Proporcje" + "ratio": "Proporcje", + "toggleAdvancedScores": "Przełącz widok wyników zaawansowanych", + "computedScore": "Obliczony wynik", + "topScore": "Najwyższy wynik" }, "heard": "{{label}} słyszałem" }, diff --git a/web/public/locales/pl/views/exports.json b/web/public/locales/pl/views/exports.json index b0d41bbc38..82e6857fc1 100644 --- a/web/public/locales/pl/views/exports.json +++ b/web/public/locales/pl/views/exports.json @@ -2,7 +2,9 @@ "search": "Szukaj", "documentTitle": "Eksportuj - Frigate", "noExports": "Nie znaleziono eksportów", - "deleteExport": "Usuń eksport", + "deleteExport": { + "label": "Usuń eksport" + }, "deleteExport.desc": "Czy na pewno chcesz usunąć {{exportName}}?", "editExport": { "title": "Zmień nazwę eksportu", @@ -18,6 +20,11 @@ "shareExport": "Udostępnij eksport", "downloadVideo": "Pobierz wideo", "editName": "Edytuj nazwę", - "deleteExport": "Usuń eksport" + "deleteExport": "Usuń eksport", + "assignToCase": "Dodaj do sprawy" + }, + "headings": { + "cases": "Przypadki", + "uncategorizedExports": "Bez kategorii Eksport" } } diff --git a/web/public/locales/pl/views/live.json b/web/public/locales/pl/views/live.json index b4ab24def8..77f1a4229e 100644 --- a/web/public/locales/pl/views/live.json +++ b/web/public/locales/pl/views/live.json @@ -1,5 +1,7 @@ { - "documentTitle": "Na żywo - Frigate", + "documentTitle": { + "default": "Transmisja - Frigate" + }, "documentTitle.withCamera": "{{camera}}- Na żywo - Frigate", "lowBandwidthMode": "Tryb niskiej przepustowości", "twoWayTalk": { @@ -15,7 +17,8 @@ "clickMove": { "label": "Kliknij w ramce, aby wyśrodkować kamerę", "enable": "Włącz kliknięcie do przesuwania", - "disable": "Wyłącz kliknięcie do przesuwania" + "disable": "Wyłącz kliknięcie do przesuwania", + "enableWithZoom": "Włącz kliknij, aby przesunąć / przeciągnij, aby przybliżyć" }, "left": { "label": "Przesuń kamerę PTZ w lewo" diff --git a/web/public/locales/pl/views/motionSearch.json b/web/public/locales/pl/views/motionSearch.json new file mode 100644 index 0000000000..6406859bb3 --- /dev/null +++ b/web/public/locales/pl/views/motionSearch.json @@ -0,0 +1,58 @@ +{ + "documentTitle": "Wyszukiwanie zdarzeń ruchu - Frigate", + "title": "Wyszukiwanie zdarzeń ruchu", + "description": "Narysuj wielokąt aby wyznaczyć obszar zainteresowania, a następnie określ przedział czasowy w którym chcesz wyszukać zmiany ruchu w tym obszarze.", + "selectCamera": "Ładowanie wyszukiwania zdarzeń ruchu", + "startSearch": "Start wyszukiwania", + "searchStarted": "Uruchomiono wyszukiwanie", + "searchCancelled": "Zatrzymano wyszukiwanie", + "cancelSearch": "Anuluj", + "searching": "Wyszukiwanie w trakcie.", + "searchComplete": "Wyszukiwanie zakończono", + "noResultsYet": "Przeprowadź wyszukiwanie aby znaleźć zmiany ruchu w zaznaczonym obszarze", + "noChangesFound": "W wybranym obszarze nie wykryto żadnych zmian w pikselach", + "framesProcessed": "{{count}} przetworzonych klatek obrazu", + "jumpToTime": "Przejdź do tego momentu", + "results": "Wyniki", + "showSegmentHeatmap": "Mapa cieplna", + "newSearch": "Nowe wyszukiwanie", + "clearResults": "Wyczyść wyniki", + "clearROI": "Wyczyść strefę", + "polygonControls": { + "undo": "Cofnij ostatnią zmianę", + "reset": "Reset strefy" + }, + "motionHeatmapLabel": "Mapa aktywności ruchu", + "dialog": { + "title": "Wyszukiwanie według ruchu", + "cameraLabel": "Kamera", + "previewAlt": "Podgląd z kamery {{camera}}" + }, + "timeRange": { + "title": "Zakres wyszukiwania", + "start": "Czas rozpoczęcia", + "end": "Czas zakończenia" + }, + "settings": { + "title": "Ustawienia wyszukiwania", + "parallelMode": "Tryb równoległy", + "parallelModeDesc": "Przeskanuj wiele fragmentów nagrania jednocześnie (szybsze, ale znacznie bardziej obciążające procesor)", + "threshold": "Próg czułości", + "thresholdDesc": "Niższe wartości pozwalają wykrywać mniejsze zmiany (1–255)", + "minArea": "Obszar minimalnej zmiany", + "minAreaDesc": "Minimalny procent obszaru zainteresowania który musi ulec zmianie aby uznano to za istotne", + "frameSkip": "Pominięcie klatki", + "frameSkipDesc": "Przetwarza co N klatkę. Ustaw wartość na liczbę klatek na sekundę swojej kamery, aby przetwarzać jedną klatkę na sekundę (np. 5 dla kamery o 5 klatkach na sekundę, 30 dla kamery o 30 klatkach na sekundę). Wyższe wartości zapewniają większą szybkość ale mogą powodować pominięcie krótkich zdarzeń ruchu.", + "maxResults": "Maksymalne wyniki", + "maxResultsDesc": "Zatrzymaj się po osiągnięciu określonej liczby pasujących znaczników czasu" + }, + "errors": { + "noCamera": "Wybierz kamerę", + "noROI": "Zaznacz obszar zainteresowania", + "noTimeRange": "Ustaw przedział czasowy", + "invalidTimeRange": "Czas zakończenia musi być późniejszy niż czas rozpoczęcia", + "searchFailed": "Wyszukiwanie nie powiodło się: {{message}}", + "polygonTooSmall": "Obszar musi mieć co najmniej 3 punkty", + "unknown": "Nieznany błąd" + } +} diff --git a/web/public/locales/pl/views/replay.json b/web/public/locales/pl/views/replay.json new file mode 100644 index 0000000000..bfc3c4fe3a --- /dev/null +++ b/web/public/locales/pl/views/replay.json @@ -0,0 +1,6 @@ +{ + "page": { + "preparingClip": "Przygotuje urywek…" + }, + "title": "Debugowanie nagrań" +} diff --git a/web/public/locales/pl/views/settings.json b/web/public/locales/pl/views/settings.json index f7440b0468..6167a9d0e9 100644 --- a/web/public/locales/pl/views/settings.json +++ b/web/public/locales/pl/views/settings.json @@ -7,13 +7,68 @@ "cameras": "Ustawienia Kamery", "frigateplus": "Frigate+", "masksAndZones": "Maski / Strefy", - "motionTuner": "Konfigurator Ruchu", + "motionTuner": "Konfigurator ruchu", "debug": "Debugowanie", "enrichments": "Wzbogacenia", "triggers": "Wyzwalacze", "roles": "Role", "cameraManagement": "Zarządzanie", - "cameraReview": "Przegląd" + "cameraReview": "Przegląd", + "integrations": "Integracje", + "uiSettings": "Ustawienia interfejsu użytkownika", + "profiles": "Profile", + "globalDetect": "Detekcja obiektów", + "globalRecording": "Nagrywanie", + "globalSnapshots": "Snapshoty", + "globalFfmpeg": "FFmpeg", + "globalMotion": "Detekcja ruchu", + "globalObjects": "Obiekty", + "globalReview": "Recenzja", + "globalAudioEvents": "Detekcja dźwięku", + "globalLivePlayback": "Podgląd na żywo", + "globalTimestampStyle": "Styl znacznika czasu", + "systemDatabase": "Baza danych", + "systemTls": "TLS", + "systemAuthentication": "Autentykacja", + "systemNetworking": "Sieć", + "systemProxy": "Proxy", + "systemUi": "UI", + "systemLogging": "Logowanie", + "systemEnvironmentVariables": "Zmienne środowiskowe", + "systemTelemetry": "Telemetria", + "systemBirdseye": "Podgląd obrazu", + "systemFfmpeg": "FFmpeg", + "systemDetectorsAndModel": "Detektory i model", + "systemMqtt": "MQTT", + "systemGo2rtcStreams": "strumienie go2rtc", + "integrationSemanticSearch": "Wyszukiwanie semantyczne", + "integrationGenerativeAi": "Generatywna sztuczna inteligencja", + "integrationFaceRecognition": "Rozpoznawanie twarzy", + "integrationLpr": "Rozpoznawanie tablic rejestracyjnych", + "integrationObjectClassification": "Klasyfikacja obiektów", + "integrationAudioTranscription": "Transkrypcja dźwięku", + "cameraDetect": "Detekcja obiektów", + "cameraFfmpeg": "FFmpeg", + "cameraRecording": "Nagrywanie", + "cameraBirdseye": "Podgląd obrazu", + "cameraFaceRecognition": "Rozpoznawanie twarzy", + "cameraLpr": "Rozpoznawanie tablic rejestracyjnych", + "cameraMqttConfig": "MQTT", + "cameraOnvif": "ONVIF", + "cameraAudioTranscription": "Transkrypcja dźwięku", + "cameraNotifications": "Powiadomienia", + "cameraLivePlayback": "Podgląd na żywo", + "cameraSnapshots": "Snapshoty", + "cameraMotion": "Detekcja ruchu", + "cameraObjects": "Obiekty", + "cameraConfigReview": "Recenzja", + "cameraAudioEvents": "Detekcja dźwięku", + "cameraUi": "Interfejs użytkownika kamery", + "cameraTimestampStyle": "Styl znacznika czasu", + "cameraMqtt": "MQTT kamery", + "maintenance": "Utrzymanie", + "mediaSync": "Synchronizacja mediów", + "regionGrid": "Siatka regionalna" }, "dialog": { "unsavedChanges": { @@ -96,7 +151,12 @@ "notifications": "Ustawienia powiadomień - Frigate", "enrichments": "Ustawienia wzbogacania - Frigate", "cameraManagement": "Zarządzanie kamerami – Frigate", - "cameraReview": "Ustawienia przeglądu kamer - Frigate" + "cameraReview": "Ustawienia przeglądu kamer - Frigate", + "globalConfig": "Konfiguracja globalna - Frigate", + "cameraConfig": "Konfiguracja kamery - Frigate", + "maintenance": "Konserwacja – Frigate", + "profiles": "Profile - Frigate", + "detectorsAndModel": "Detektory i model" }, "classification": { "title": "Ustawienia Klasyfikacji", @@ -410,7 +470,7 @@ }, "restart_required": "Wymagane ponowne uruchomienie (maski/strefy zmienione)", "motionMaskLabel": "Maska Ruchu {{number}}", - "objectMaskLabel": "Maska Obiektu {{number}} ({{label}})" + "objectMaskLabel": "Maska Obiektu {{number}}" }, "debug": { "objectList": "Lista Obiektów", @@ -684,7 +744,7 @@ "cleanCopySnapshots": "Zrzuty ekranu clean_copy", "camera": "Kamera" }, - "cleanCopyWarning": "Niektóre kamery mają włączone zrzuty ekranu, ale mają wyłączoną funkcję czystej kopii. Musisz włączyć clean_copy w konfiguracji zrzutów ekranu, aby móc przesyłać obrazy z tych kamer do Frigate+." + "cleanCopyWarning": "Niektóre kamery mają wyłączone migawki" }, "modelInfo": { "title": "Informacje o modelu", @@ -1227,5 +1287,47 @@ "title": "Opisy generatywnej sztucznej inteligencji", "desc": "Tymczasowo włącz/wyłącz generatywne opisy AI dla tej kamery. Po wyłączeniu opisy generowane przez AI nie będą wymagane dla elementów przeglądu w tej kamerze." } + }, + "button": { + "overriddenGlobal": "Nadpisane (globalnie)", + "overriddenGlobalTooltip": "Ta kamera nadpisuje globalną konfigurację w tej sekcji", + "overriddenGlobalHeading_one": "Ta kamera nadpisuje pole {{count}} z globalnej konfiguracji:", + "overriddenGlobalHeading_few": "Ta kamera nadpisuje pola {{count}} z globalnej konfiguracji:", + "overriddenGlobalHeading_many": "Ta kamera nadpisuje pola {{count}} z globalnej konfiguracji:", + "overriddenGlobalNoDeltas": "Ta kamera nadpisuje ustawienia globalne, ale żadne wartości pól się nie różnią.", + "overriddenBaseConfig": "Nadpisane (bazowa konfiguracja)", + "overriddenBaseConfigTooltip": "Profil {{profile}} zastępuje ustawienia konfiguracyjne w tej sekcji", + "overriddenBaseConfigHeading_one": "Profil {{profile}} zastępuje pole {{count}} z konfiguracji podstawowej:", + "overriddenBaseConfigHeading_few": "Profile {{profile}} zastępują pola {{count}} z konfiguracji podstawowej:", + "overriddenBaseConfigHeading_many": "Profile {{profile}} zastępują pola {{count}} z konfiguracji podstawowej:", + "overriddenBaseConfigNoDeltas": "Profil {{profile}} zastępuje tę sekcję, ale żadne wartości pól nie różnią się od konfiguracji podstawowej.", + "overriddenInCameras": { + "label_one": "Zastąpiono w kamerze {{count}}", + "label_few": "Zastąpiono w kamerach {{count}}", + "label_many": "Zastąpiono w kamerach {{count}}", + "tooltip_one": "Kamera {{count}} zastępuje wartości w tej sekcji. Kliknij, aby wyświetlić szczegóły.", + "tooltip_few": "Kamery {{count}} zastępują wartości w tej sekcji. Kliknij, aby wyświetlić szczegóły.", + "tooltip_many": "Kamery {{count}} zastępują wartości w tej sekcji. Kliknij, aby wyświetlić szczegóły." + } + }, + "saveAllPreview": { + "scope": { + "label": "Zakres", + "global": "Globalne", + "camera": "Kamera: {{cameraName}}" + }, + "profile": { + "label": "Profil" + }, + "field": { + "label": "Pole" + }, + "value": { + "label": "Nowa wartość", + "reset": "Reset" + }, + "title": "Zmiany do zapisania", + "triggerLabel": "Przejrzyj oczekujące zmiany", + "empty": "Brak oczekujących zmian." } } diff --git a/web/public/locales/pl/views/system.json b/web/public/locales/pl/views/system.json index ebcc114633..cc5851067f 100644 --- a/web/public/locales/pl/views/system.json +++ b/web/public/locales/pl/views/system.json @@ -7,7 +7,8 @@ "logs": { "frigate": "Logi Frigate - Frigate", "go2rtc": "Logi Go2RTC - Frigate", - "nginx": "Logi Nginx - Frigate" + "nginx": "Logi Nginx - Frigate", + "websocket": "Logi Websocket - Frigate" } }, "general": { @@ -163,6 +164,16 @@ "fetchingLogsFailed": "Błąd pobierania logów: {{errorMessage}}", "whileStreamingLogs": "Błąd podczas strumieniowania logów: {{errorMessage}}" } + }, + "websocket": { + "label": "Wiadomości", + "pause": "Pauza", + "resume": "Wznów", + "clear": "Wyczyść", + "filter": { + "all": "Wszystkie tematy", + "topics": "Tematy" + } } }, "title": "System", diff --git a/web/public/locales/pt-BR/common.json b/web/public/locales/pt-BR/common.json index 632155ddd1..f02bdc03e2 100644 --- a/web/public/locales/pt-BR/common.json +++ b/web/public/locales/pt-BR/common.json @@ -262,7 +262,8 @@ "setPassword": "Definir Senha" }, "classification": "Classificação", - "chat": "Chat" + "chat": "Chat", + "profiles": "Perfis" }, "toast": { "copyUrlToClipboard": "URL copiada para a área de transferência.", diff --git a/web/public/locales/pt-BR/config/cameras.json b/web/public/locales/pt-BR/config/cameras.json index b065dbb258..48b0de7d78 100644 --- a/web/public/locales/pt-BR/config/cameras.json +++ b/web/public/locales/pt-BR/config/cameras.json @@ -45,6 +45,13 @@ }, "label": "Configuração da Câmera", "audio_transcription": { - "label": "Transcrição de áudio" + "label": "Transcrição de áudio", + "enabled": { + "label": "Habilitar transcrição" + }, + "live_enabled": { + "label": "Transcrição em tempo real" + }, + "description": "Configurações de transcrição de áudio e voz ao vivo para eventos e legendas em tempo real." } } diff --git a/web/public/locales/pt-BR/config/global.json b/web/public/locales/pt-BR/config/global.json index a9cbd3f9c6..a503c8ee94 100644 --- a/web/public/locales/pt-BR/config/global.json +++ b/web/public/locales/pt-BR/config/global.json @@ -71,9 +71,19 @@ "session_length": { "label": "Duração da sessão", "description": "Duração da sessão em segundos para sessões baseadas em JWT." + }, + "failed_login_rate_limit": { + "label": "Limites de falha de login" + }, + "refresh_time": { + "label": "Janela de atualização da sessão" } }, "audio_transcription": { - "label": "Transcrição de áudio" + "label": "Transcrição de áudio", + "live_enabled": { + "label": "Transcrição em tempo real" + }, + "description": "Configurações de transcrição de áudio e voz ao vivo para eventos e legendas em tempo real." } } diff --git a/web/public/locales/pt-BR/views/chat.json b/web/public/locales/pt-BR/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/pt-BR/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/pt-BR/views/classificationModel.json b/web/public/locales/pt-BR/views/classificationModel.json index afa3fafbb5..36f3539a04 100644 --- a/web/public/locales/pt-BR/views/classificationModel.json +++ b/web/public/locales/pt-BR/views/classificationModel.json @@ -15,8 +15,8 @@ "deletedCategory_one": "Classe Apagada", "deletedCategory_many": "", "deletedCategory_other": "", - "deletedImage_one": "Imagens Apagadas", - "deletedImage_many": "", + "deletedImage_one": "Imagen Apagada", + "deletedImage_many": "Imagens Apagadas", "deletedImage_other": "", "categorizedImage": "Imagem Classificada com Sucesso", "trainedModel": "Modelo treinado com sucesso.", @@ -29,14 +29,15 @@ "reclassifiedImage": "Imagem reclassificada com sucesso" }, "error": { - "deleteImageFailed": "Falha ao deletar:{{errorMessage}}", - "deleteCategoryFailed": "Falha ao deletar classe:{{errorMessage}}", + "deleteImageFailed": "Falha ao excluir:{{errorMessage}}", + "deleteCategoryFailed": "Falha ao excluir classe:{{errorMessage}}", "categorizeFailed": "Falha ao categorizar imagem:{{errorMessage}}", "deleteModelFailed": "Falha ao excluir o modelo: {{errorMessage}}", "trainingFailed": "Treinamento do modelo falhou. Verifique os logs do Frigate para mais detalhes.", "trainingFailedToStart": "Falha ao iniciar o treinamento do modelo: {{errorMessage}}", "updateModelFailed": "Falha ao atualizar modelo: {{errorMessage}}", - "renameCategoryFailed": "Falha ao renomear classe: {{errorMessage}}" + "renameCategoryFailed": "Falha ao renomear classe: {{errorMessage}}", + "reclassifyFailed": "Falha ao reclassificar imagem: {{errorMessage}}" } }, "deleteCategory": { diff --git a/web/public/locales/pt-BR/views/exports.json b/web/public/locales/pt-BR/views/exports.json index db100ff0cf..83a5c298b2 100644 --- a/web/public/locales/pt-BR/views/exports.json +++ b/web/public/locales/pt-BR/views/exports.json @@ -22,7 +22,8 @@ "downloadVideo": "Baixar vídeo", "editName": "Editar nome", "deleteExport": "Apagar exportação", - "assignToCase": "Adicionar ao caso" + "assignToCase": "Adicionar ao caso", + "removeFromCase": "Remover da caixa" }, "headings": { "uncategorizedExports": "Exportações não categorizadas", diff --git a/web/public/locales/pt-BR/views/live.json b/web/public/locales/pt-BR/views/live.json index c2459b6403..a1b72767f4 100644 --- a/web/public/locales/pt-BR/views/live.json +++ b/web/public/locales/pt-BR/views/live.json @@ -17,7 +17,8 @@ "clickMove": { "label": "Clique no quadro para centralizar a câmera", "enable": "Ativar clique para mover", - "disable": "Desativar clique para mover" + "disable": "Desativar clique para mover", + "enableWithZoom": "Habilitar clicar para mover / arrastar para zoom" }, "left": { "label": "Mova a câmera PTZ para a esquerda" diff --git a/web/public/locales/pt-BR/views/motionSearch.json b/web/public/locales/pt-BR/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/pt-BR/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/pt-BR/views/replay.json b/web/public/locales/pt-BR/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/pt-BR/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/pt-BR/views/settings.json b/web/public/locales/pt-BR/views/settings.json index 7998227749..c937906c41 100644 --- a/web/public/locales/pt-BR/views/settings.json +++ b/web/public/locales/pt-BR/views/settings.json @@ -34,7 +34,15 @@ "general": "Geral", "globalConfig": "Configuração global", "system": "Sistema", - "integrations": "Integrações" + "integrations": "Integrações", + "uiSettings": "Configurações de interface", + "profiles": "Perfis", + "globalDetect": "Detecção de objeto", + "globalRecording": "Gravando", + "globalFfmpeg": "FFmpeg", + "globalMotion": "Detecção de movimento", + "globalObjects": "Objetos", + "globalReview": "Revisar" }, "dialog": { "unsavedChanges": { diff --git a/web/public/locales/pt-BR/views/system.json b/web/public/locales/pt-BR/views/system.json index 9226297196..431fd6ba06 100644 --- a/web/public/locales/pt-BR/views/system.json +++ b/web/public/locales/pt-BR/views/system.json @@ -50,8 +50,10 @@ "lpr": "LPR", "camera_activity": "Atividade da câmera", "system": "Sistema", - "camera": "Camera" - } + "camera": "Camera", + "all_cameras": "Todas as cameras" + }, + "empty": "Nenhuma mensagem capturada ainda" } }, "general": { diff --git a/web/public/locales/pt/components/input.json b/web/public/locales/pt/components/input.json index 1324ed188a..9861b92f5a 100644 --- a/web/public/locales/pt/components/input.json +++ b/web/public/locales/pt/components/input.json @@ -1,9 +1,9 @@ { "button": { "downloadVideo": { - "label": "Transferir Vídeo", + "label": "Descarregar Vídeo", "toast": { - "success": "O vídeo do seu item de análise começou a ser transferido." + "success": "O vídeo do seu item de análise começou a ser descarregado." } } } diff --git a/web/public/locales/pt/views/chat.json b/web/public/locales/pt/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/pt/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/pt/views/motionSearch.json b/web/public/locales/pt/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/pt/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/pt/views/replay.json b/web/public/locales/pt/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/pt/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ro/common.json b/web/public/locales/ro/common.json index 1938c3d11e..57a0262d6f 100644 --- a/web/public/locales/ro/common.json +++ b/web/public/locales/ro/common.json @@ -136,7 +136,8 @@ "gl": "Galego (Galiciană)", "id": "Bahasa Indonesia (Indoneziană)", "ur": "اردو (Urdu)", - "hr": "Hrvatski (Croată)" + "hr": "Hrvatski (Croată)", + "bs": "Bosanski (Bosniacă)" }, "theme": { "default": "Implicit", @@ -188,7 +189,8 @@ "classification": "Clasificare", "chat": "Chat", "actions": "Acțiuni", - "profiles": "Profile" + "profiles": "Profile", + "features": "Funcționalități" }, "button": { "cameraAudio": "Sunet cameră", diff --git a/web/public/locales/ro/components/dialog.json b/web/public/locales/ro/components/dialog.json index ec929c0237..56dd59dcfb 100644 --- a/web/public/locales/ro/components/dialog.json +++ b/web/public/locales/ro/components/dialog.json @@ -59,6 +59,14 @@ "desc": { "selected": "Ești sigur că vrei să ștergi toate videoclipurile înregistrate asociate acestui element de revizuire?

    Ține apăsată tasta Shift pentru a sări peste această confirmare pe viitor." } + }, + "shareTimestamp": { + "label": "Partajează timestamp-ul", + "title": "Partajează timestamp-ul", + "description": "Partajează un URL cu timestamp al poziției actuale din player sau alege un timestamp personalizat. Reține că acesta nu este un URL de partajare publică și este accesibil doar utilizatorilor care au acces la Frigate și la această cameră.", + "custom": "Timestamp personalizat", + "button": "Partajează URL-ul cu timestamp", + "shareTitle": "Timestamp review Frigate: {{camera}}" } }, "export": { @@ -86,19 +94,80 @@ "toast": { "success": "Exportul a început cu succes. Vizualizați fișierul pe pagina de exporturi.", "error": { - "failed": "Eroare la pornirea exportului: {{error}}", + "failed": "Nu s-a putut adăuga exportul în coadă: {{error}}", "endTimeMustAfterStartTime": "Ora de sfârșit trebuie să fie după ora de început", "noVaildTimeSelected": "Nu a fost selectat un interval de timp valid" }, - "view": "Vizualizează" + "view": "Vizualizează", + "queued": "Export pus la coadă. Vezi progresul pe pagina de exporturi.", + "batchSuccess_one": "A început 1 export. Se deschide cazul acum.", + "batchSuccess_few": "Au început {{count}} exporturi. Se deschide cazul acum.", + "batchSuccess_other": "Au început {{count}} de exporturi. Se deschide cazul acum.", + "batchPartial": "Au început {{successful}} din {{total}} exporturi. Camere eșuate: {{failedCameras}}", + "batchFailed": "Eșec la pornirea a {{total}} exporturi. Camere eșuate: {{failedCameras}}", + "batchQueuedSuccess_one": "1 export pus la coadă. Se deschide cazul acum.", + "batchQueuedSuccess_few": "{{count}} exporturi puse la coadă. Se deschide cazul acum.", + "batchQueuedSuccess_other": "{{count}} de exporturi puse la coadă. Se deschide cazul acum.", + "batchQueuedPartial": "S-au pus la coadă {{successful}} din {{total}} exporturi. Camere eșuate: {{failedCameras}}", + "batchQueueFailed": "Eșec la punerea la coadă a {{total}} exporturi. Camere eșuate: {{failedCameras}}" }, "fromTimeline": { "saveExport": "Salvează exportul", - "previewExport": "Previzualizează exportul" + "previewExport": "Previzualizează exportul", + "queueingExport": "Se adaugă exportul la coadă...", + "useThisRange": "Folosește acest interval" }, "case": { "label": "Caz", - "placeholder": "Selectează caz" + "placeholder": "Selectează caz", + "newCaseOption": "Creează un caz nou", + "newCaseNamePlaceholder": "Nume caz nou", + "newCaseDescriptionPlaceholder": "Descrierea cazului", + "nonAdminHelp": "Un caz nou va fi creat pentru aceste exporturi." + }, + "queueing": "Se adaugă exportul la coadă...", + "tabs": { + "export": "O singură cameră", + "multiCamera": "Mai multe camere" + }, + "multiCamera": { + "timeRange": "Interval de timp", + "selectFromTimeline": "Selectează din timeline", + "cameraSelection": "Camere", + "cameraSelectionHelp": "Camerele cu obiecte urmărite în acest interval de timp sunt pre-selectate", + "checkingActivity": "Se verifică activitatea camerei...", + "noCameras": "Nu sunt camere disponibile", + "detectionCount_one": "1 obiect urmărit", + "detectionCount_few": "{{count}} obiecte urmărite", + "detectionCount_other": "{{count}} de obiecte urmărite", + "nameLabel": "Nume export", + "namePlaceholder": "Nume de bază opțional pentru aceste exporturi", + "queueingButton": "Se adaugă exporturile la coadă...", + "exportButton_one": "Exportă 1 cameră", + "exportButton_few": "Exportă {{count}} camere", + "exportButton_other": "Exportă {{count}} de camere" + }, + "multi": { + "title_one": "Exportă 1 recenzie", + "title_few": "Exportă {{count}} recenzii", + "title_other": "Exportă {{count}} de recenzii", + "description": "Exportă fiecare recenzie selectată. Toate exporturile vor fi grupate sub un singur caz.", + "descriptionNoCase": "Exportă fiecare recenzie selectată.", + "caseNamePlaceholder": "Export recenzie - {{date}}", + "exportButton_one": "Exportă 1 recenzie", + "exportButton_few": "Exportă {{count}} recenzii", + "exportButton_other": "Exportă {{count}} de recenzii", + "exportingButton": "Se exportă...", + "toast": { + "started_one": "A început 1 export. Se deschide cazul acum.", + "started_few": "Au început {{count}} exporturi. Se deschide cazul acum.", + "started_other": "Au început {{count}} de exporturi. Se deschide cazul acum.", + "startedNoCase_one": "A început 1 export.", + "startedNoCase_few": "Au început {{count}} exporturi.", + "startedNoCase_other": "Au început {{count}} de exporturi.", + "partial": "Au început {{successful}} din {{total}} exporturi. Au eșuat: {{failedItems}}", + "failed": "Eșec la pornirea a {{total}} exporturi. Au eșuat: {{failedItems}}" + } } }, "streaming": { diff --git a/web/public/locales/ro/components/player.json b/web/public/locales/ro/components/player.json index bbd8ceab88..ebcad44a25 100644 --- a/web/public/locales/ro/components/player.json +++ b/web/public/locales/ro/components/player.json @@ -4,7 +4,8 @@ "noPreviewFoundFor": "Nu există previzualizari pentru {{cameraName}}", "submitFrigatePlus": { "title": "Trimiteti acest cadru catre Frigate+?", - "submit": "Trimite" + "submit": "Trimite", + "previewError": "Nu s-a putut încărca previzualizarea snapshot-ului. S-ar putea ca înregistrarea să nu fie disponibilă în acest moment." }, "livePlayerRequiredIOSVersion": "iOS 17.1 sau mai recent este necesar pentru acest tip de stream live.", "streamOffline": { diff --git a/web/public/locales/ro/config/cameras.json b/web/public/locales/ro/config/cameras.json index 01c256adf4..f793ac9b1b 100644 --- a/web/public/locales/ro/config/cameras.json +++ b/web/public/locales/ro/config/cameras.json @@ -13,7 +13,7 @@ "description": "Activată" }, "audio": { - "label": "Evenimente audio", + "label": "Detecție audio", "description": "Setări pentru detectarea evenimentelor bazate pe sunet pentru această cameră.", "enabled": { "label": "Activare detecție audio", @@ -33,7 +33,11 @@ }, "filters": { "label": "Filtre audio", - "description": "Setări de filtrare per tip audio, cum ar fi pragul de încredere." + "description": "Setări de filtrare per tip audio, cum ar fi pragul de încredere.", + "threshold": { + "label": "Încredere audio minimă", + "description": "Pragul minim de încredere pentru ca evenimentul audio să fie luat în considerare." + } }, "enabled_in_config": { "label": "Stare audio originală", @@ -485,6 +489,10 @@ "hwaccel_args": { "label": "Argumente hwaccel export", "description": "Argumente de accelerare hardware pentru operațiunile de export/transcodare." + }, + "max_concurrent": { + "description": "Numărul maxim de sarcini de export de procesat în același timp.", + "label": "Număr maxim de exporturi simultane" } }, "preview": { diff --git a/web/public/locales/ro/config/global.json b/web/public/locales/ro/config/global.json index d07e3bab4b..fff53a0778 100644 --- a/web/public/locales/ro/config/global.json +++ b/web/public/locales/ro/config/global.json @@ -1,6 +1,6 @@ { "audio": { - "label": "Evenimente audio", + "label": "Detecție audio", "enabled": { "label": "Activare detecție audio", "description": "Activează sau dezactivează detecția audio pentru toate camerele." @@ -19,7 +19,11 @@ }, "filters": { "label": "Filtre audio", - "description": "Setări de filtrare per tip audio, cum ar fi pragul de încredere." + "description": "Setări de filtrare per tip audio, cum ar fi pragul de încredere.", + "threshold": { + "label": "Încredere audio minimă", + "description": "Pragul minim de încredere pentru ca evenimentul audio să fie luat în considerare." + } }, "enabled_in_config": { "label": "Stare audio originală", @@ -594,6 +598,10 @@ "hwaccel_args": { "label": "Argumente hwaccel export", "description": "Argumente de accelerare hardware pentru operațiunile de export/transcodare." + }, + "max_concurrent": { + "description": "Numărul maxim de sarcini de export de procesat în același timp.", + "label": "Număr maxim de exporturi simultane" } }, "preview": { @@ -1161,8 +1169,8 @@ "description": "Activează monitorizarea lățimii de bandă a rețelei pe proces pentru procesele ffmpeg ale camerelor și detectoare (necesită capabilități)." }, "intel_gpu_device": { - "label": "Dispozitiv SR-IOV", - "description": "Identificator de dispozitiv folosit când GPU-urile Intel sunt tratate ca SR-IOV pentru a repara statisticile GPU." + "label": "Dispozitiv GPU Intel", + "description": "Adresa magistralei PCI sau calea dispozitivului DRM (ex./dev/dri/card1) folosită pentru a fixa statisticile GPU Intel la un anumit dispozitiv când sunt prezente mai multe." } }, "version_check": { @@ -2161,7 +2169,7 @@ }, "roles": { "label": "Roluri", - "description": "Roluri GenAI (unelte, viziune, înglobări); un furnizor per rol." + "description": "Roluri GenAI (chat, descrieri, înglobări); un furnizor per rol." }, "provider_options": { "label": "Opțiuni furnizor", diff --git a/web/public/locales/ro/objects.json b/web/public/locales/ro/objects.json index 90dfc34cb7..122244d5c4 100644 --- a/web/public/locales/ro/objects.json +++ b/web/public/locales/ro/objects.json @@ -121,5 +121,10 @@ "royal_mail": "Royal Mail", "school_bus": "Autobus Scolar", "skunk": "Sconcs", - "kangaroo": "Cangur" + "kangaroo": "Cangur", + "baby": "Bebeluș", + "baby_stroller": "Cărucior de copii", + "rickshaw": "Ricșă", + "Rodent": "Rozătoare", + "rodent": "Rozătoare" } diff --git a/web/public/locales/ro/views/chat.json b/web/public/locales/ro/views/chat.json new file mode 100644 index 0000000000..b87ef2145f --- /dev/null +++ b/web/public/locales/ro/views/chat.json @@ -0,0 +1,46 @@ +{ + "documentTitle": "Chat - Frigate", + "title": "Chat Frigate", + "subtitle": "Asistentul tău AI pentru gestionarea camerelor și informații", + "placeholder": "Întreabă orice...", + "error": "Ceva a mers prost. Te rog încearcă din nou.", + "processing": "Procesare...", + "toolsUsed": "Folosit: {{tools}}", + "showTools": "Arată uneltele ({{count}})", + "hideTools": "Ascunde uneltele", + "call": "Apelează", + "result": "Rezultat", + "arguments": "Argumente:", + "response": "Răspuns:", + "attachment_chip_label": "{{label}} pe {{camera}}", + "attachment_chip_remove": "Elimină atașamentul", + "open_in_explore": "Deschide în Explorare", + "attach_event_aria": "Atașează evenimentul {{eventId}}", + "attachment_picker_paste_label": "Sau lipește ID-ul evenimentului", + "attachment_picker_attach": "Atașează", + "attachment_picker_placeholder": "Atașează un eveniment", + "quick_reply_find_similar": "Găsește apariții similare", + "quick_reply_tell_me_more": "Spune-mi mai multe despre asta", + "quick_reply_when_else": "Când a mai fost văzut?", + "quick_reply_find_similar_text": "Găsește apariții similare cu aceasta.", + "quick_reply_tell_me_more_text": "Spune-mi mai multe despre acesta.", + "quick_reply_when_else_text": "Când a mai fost văzut acesta?", + "anchor": "Referință", + "similarity_score": "Similaritate", + "no_similar_objects_found": "Nu au fost găsite obiecte similare.", + "semantic_search_required": "Căutarea semantică trebuie să fie activată pentru a găsi obiecte similare.", + "send": "Trimite", + "suggested_requests": "Încearcă să întrebi:", + "starting_requests": { + "show_recent_events": "Arată evenimentele recente", + "show_camera_status": "Arată starea camerei", + "recap": "Ce s-a întâmplat cât am fost plecat?", + "watch_camera": "Urmărește o cameră pentru activitate" + }, + "starting_requests_prompts": { + "show_recent_events": "Arată-mi evenimentele recente din ultima oră", + "show_camera_status": "Care este starea actuală a camerelor mele?", + "recap": "Ce s-a întâmplat cât am fost plecat?", + "watch_camera": "Urmărește ușa din față și anunță-mă dacă apare cineva" + } +} diff --git a/web/public/locales/ro/views/events.json b/web/public/locales/ro/views/events.json index 455257a92d..5adb14169c 100644 --- a/web/public/locales/ro/views/events.json +++ b/web/public/locales/ro/views/events.json @@ -25,7 +25,9 @@ }, "documentTitle": "Revizuieste - Frigate", "recordings": { - "documentTitle": "Inregistrari - frigate" + "documentTitle": "Inregistrari - frigate", + "invalidSharedLink": "Nu s-a putut deschide linkul înregistrării cu timestamp din cauza unei erori de parsare.", + "invalidSharedCamera": "Nu s-a putut deschide linkul înregistrării cu timestamp din cauza unei camere necunoscute sau neautorizate." }, "calendarFilter": { "last24Hours": "Ultimele 24 de ore" @@ -39,7 +41,7 @@ "camera": "Camera foto", "detections": "Detecții", "detected": "detectat", - "selected_one": "{{count}} selectate", + "selected_one": "{{count}} selectat", "selected_other": "{{count}} selectate", "suspiciousActivity": "Activitate suspectă", "threateningActivity": "Activitate amenințătoare", diff --git a/web/public/locales/ro/views/explore.json b/web/public/locales/ro/views/explore.json index 5d4057b0b2..4cb9f3c7ff 100644 --- a/web/public/locales/ro/views/explore.json +++ b/web/public/locales/ro/views/explore.json @@ -289,7 +289,10 @@ "zones": "Zone", "ratio": "Raport", "area": "Aria", - "score": "Scor" + "score": "Scor", + "computedScore": "Scor calculat", + "topScore": "Cel mai mare scor", + "toggleAdvancedScores": "Comută scorurile avansate" } }, "annotationSettings": { diff --git a/web/public/locales/ro/views/exports.json b/web/public/locales/ro/views/exports.json index 1b1e0b2d87..be984037f2 100644 --- a/web/public/locales/ro/views/exports.json +++ b/web/public/locales/ro/views/exports.json @@ -14,7 +14,9 @@ "toast": { "error": { "renameExportFailed": "Redenumirea exportului a eșuat: {{errorMessage}}", - "assignCaseFailed": "Actualizarea atribuirii cazului a eșuat: {{errorMessage}}" + "assignCaseFailed": "Actualizarea atribuirii cazului a eșuat: {{errorMessage}}", + "caseSaveFailed": "Salvarea cazului a eșuat: {{errorMessage}}", + "caseDeleteFailed": "Ștergerea cazului a eșuat: {{errorMessage}}" } }, "tooltip": { @@ -22,7 +24,8 @@ "downloadVideo": "Descarcă video", "editName": "Editează numele", "deleteExport": "Șterge exportul", - "assignToCase": "Adaugă la un caz" + "assignToCase": "Adaugă la un caz", + "removeFromCase": "Elimină din caz" }, "headings": { "cases": "Cazuri", @@ -35,5 +38,91 @@ "newCaseOption": "Creează un caz nou", "nameLabel": "Numele cazului", "descriptionLabel": "Descriere" + }, + "toolbar": { + "newCase": "Caz nou", + "addExport": "Adaugă export", + "editCase": "Editează cazul", + "deleteCase": "Șterge cazul" + }, + "deleteCase": { + "label": "Șterge cazul", + "desc": "Sigur vrei să ștergi {{caseName}}?", + "descKeepExports": "Exporturile vor rămâne disponibile ca exporturi necategorizate.", + "descDeleteExports": "Toate exporturile din acest caz vor fi șterse definitiv.", + "deleteExports": "Șterge și exporturile" + }, + "caseCard": { + "emptyCase": "Niciun export încă" + }, + "jobCard": { + "defaultName": "Export {{camera}}", + "queued": "În așteptare", + "running": "În rulare", + "preparing": "Pregătire", + "copying": "Copiere", + "encoding": "Codare", + "encodingRetry": "Codare (reîncercare)", + "finalizing": "Finalizare" + }, + "caseView": { + "noDescription": "Fără descriere", + "createdAt": "Creat {{value}}", + "exportCount_one": "1 export", + "exportCount_other": "{{count}} exporturi", + "cameraCount_one": "1 cameră", + "cameraCount_other": "{{count}} camere", + "showMore": "Afișează mai mult", + "showLess": "Afișează mai puțin", + "emptyTitle": "Acest caz este gol", + "emptyDescription": "Adaugă exporturile necategorizate existente pentru a menține cazul organizat.", + "emptyDescriptionNoExports": "Nu există încă exporturi necategorizate disponibile pentru a fi adăugate." + }, + "caseEditor": { + "createTitle": "Creează caz", + "editTitle": "Editează cazul", + "namePlaceholder": "Nume caz", + "descriptionPlaceholder": "Adaugă note sau context pentru acest caz" + }, + "addExportDialog": { + "title": "Adaugă export la {{caseName}}", + "searchPlaceholder": "Caută exporturi necategorizate", + "empty": "Niciun export necategorizat nu se potrivește cu această căutare.", + "addButton_one": "Adaugă 1 export", + "addButton_other": "Adaugă {{count}} exporturi", + "adding": "Se adaugă..." + }, + "selected_one": "{{count}} selectat", + "selected_other": "{{count}} selectate", + "bulkActions": { + "addToCase": "Adaugă la caz", + "moveToCase": "Mută la caz", + "removeFromCase": "Elimină din caz", + "delete": "Șterge", + "deleteNow": "Șterge acum" + }, + "bulkDelete": { + "title": "Șterge exporturile", + "desc_one": "Sigur vrei să ștergi {{count}} export?", + "desc_other": "Sigur vrei să ștergi {{count}} exporturi?" + }, + "bulkRemoveFromCase": { + "title": "Elimină din caz", + "desc_one": "Elimini {{count}} export din acest caz?", + "desc_other": "Elimini {{count}} exporturi din acest caz?", + "descKeepExports": "Exporturile vor fi mutate la necategorizate.", + "descDeleteExports": "Exporturile vor fi șterse definitiv.", + "deleteExports": "Șterge exporturile în schimb" + }, + "bulkToast": { + "success": { + "delete": "Exporturile au fost șterse cu succes", + "reassign": "Alocarea cazului a fost actualizată cu succes", + "remove": "Exporturile au fost eliminate din caz cu succes" + }, + "error": { + "deleteFailed": "Ștergerea exporturilor a eșuat: {{errorMessage}}", + "reassignFailed": "Actualizarea alocării cazului a eșuat: {{errorMessage}}" + } } } diff --git a/web/public/locales/ro/views/faceLibrary.json b/web/public/locales/ro/views/faceLibrary.json index 15979a6c7a..a6227cdc6b 100644 --- a/web/public/locales/ro/views/faceLibrary.json +++ b/web/public/locales/ro/views/faceLibrary.json @@ -30,7 +30,11 @@ "empty": "Nu există încercări recente de recunoaștere facială", "title": "Recunoașteri Recente", "aria": "Selectează Recunoașteri Recente", - "titleShort": "Recent" + "titleShort": "Recent", + "emptyNoLibrary": { + "title": "Încarcă o față", + "description": "Trebuie să adaugi cel puțin o față în librărie pentru ca recunoașterea facială să funcționeze." + } }, "steps": { "description": { diff --git a/web/public/locales/ro/views/live.json b/web/public/locales/ro/views/live.json index 6b8c8c979e..59f9c34060 100644 --- a/web/public/locales/ro/views/live.json +++ b/web/public/locales/ro/views/live.json @@ -70,7 +70,8 @@ }, "recording": { "enable": "Activează înregistrarea", - "disable": "Dezactivează înregistrarea" + "disable": "Dezactivează înregistrarea", + "disabledInConfig": "Înregistrarea trebuie mai întâi activată în Setări pentru această cameră." }, "snapshots": { "disable": "Dezactivează snapshoturile", diff --git a/web/public/locales/ro/views/motionSearch.json b/web/public/locales/ro/views/motionSearch.json new file mode 100644 index 0000000000..0f12367484 --- /dev/null +++ b/web/public/locales/ro/views/motionSearch.json @@ -0,0 +1,77 @@ +{ + "documentTitle": "Căutare mișcare - Frigate", + "title": "Căutare mișcare", + "description": "Desenează un poligon pentru a defini regiunea de interes și specifică un interval de timp pentru a căuta schimbări de mișcare în acea regiune.", + "selectCamera": "Căutarea de mișcare se încarcă", + "startSearch": "Începe căutarea", + "searchStarted": "Căutarea a început", + "searchCancelled": "Căutare anulată", + "cancelSearch": "Anulează", + "searching": "Căutare în curs.", + "searchComplete": "Căutare finalizată", + "noResultsYet": "Rulează o căutare pentru a găsi schimbări de mișcare în regiunea selectată", + "noChangesFound": "Nu au fost detectate schimbări de pixeli în regiunea selectată", + "changesFound_one": "Am găsit {{count}} schimbare de mișcare", + "changesFound_few": "Am găsit {{count}} schimbări de mișcare", + "changesFound_other": "Am găsit {{count}} de schimbări de mișcare", + "framesProcessed": "{{count}} cadre procesate", + "jumpToTime": "Sari la acest timp", + "results": "Rezultate", + "showSegmentHeatmap": "Hartă termică", + "newSearch": "Căutare nouă", + "clearResults": "Curăță rezultatele", + "clearROI": "Curăță poligonul", + "polygonControls": { + "points_one": "{{count}} punct", + "points_few": "{{count}} puncte", + "points_other": "{{count}} de puncte", + "undo": "Anulează ultimul punct", + "reset": "Resetează poligonul" + }, + "motionHeatmapLabel": "Harta termică a mișcării", + "dialog": { + "title": "Căutare mișcare", + "cameraLabel": "Cameră", + "previewAlt": "Previzualizarea camerei pentru {{camera}}" + }, + "timeRange": { + "title": "Interval de căutare", + "start": "Timp de început", + "end": "Timp de sfârșit" + }, + "settings": { + "title": "Setări de căutare", + "parallelMode": "Mod paralel", + "parallelModeDesc": "Scanează mai multe segmente de înregistrare în același timp (mai rapid, dar consumă semnificativ mai mult procesorul)", + "threshold": "Prag de sensibilitate", + "thresholdDesc": "Valorile mai mici detectează schimbări mai mici (1-255)", + "minArea": "Arie minimă de schimbare", + "minAreaDesc": "Procentul minim din regiunea de interes care trebuie să se schimbe pentru a fi considerat semnificativ", + "frameSkip": "Omitere cadre", + "frameSkipDesc": "Procesează fiecare al N-lea cadru. Setează asta la rata de cadre a camerei tale pentru a procesa un cadru pe secundă (ex. 5 pentru o cameră de 5 FPS, 30 pentru o cameră de 30 FPS). Valorile mai mari vor fi mai rapide, dar pot rata evenimente scurte de mișcare.", + "maxResults": "Rezultate maxime", + "maxResultsDesc": "Oprește-te după acest număr de marcaje de timp potrivite" + }, + "errors": { + "noCamera": "Te rog selectează o cameră", + "noROI": "Te rog desenează o regiune de interes", + "noTimeRange": "Te rog selectează un interval de timp", + "invalidTimeRange": "Timpul de sfârșit trebuie să fie după timpul de început", + "searchFailed": "Căutarea a eșuat: {{message}}", + "polygonTooSmall": "Poligonul trebuie să aibă cel puțin 3 puncte", + "unknown": "Eroare necunoscută" + }, + "changePercentage": "{{percentage}}% schimbat", + "metrics": { + "title": "Metrici de căutare", + "segmentsScanned": "Segmente scanate", + "segmentsProcessed": "Procesat", + "segmentsSkippedInactive": "Omis (fără activitate)", + "segmentsSkippedHeatmap": "Omis (fără suprapunere ROI)", + "fallbackFullRange": "Scanare completă de rezervă", + "framesDecoded": "Cadre decodate", + "wallTime": "Timp de căutare", + "segmentErrors": "Erori segment", + "seconds": "{{seconds}}s" + } +} diff --git a/web/public/locales/ro/views/replay.json b/web/public/locales/ro/views/replay.json new file mode 100644 index 0000000000..b3c854f742 --- /dev/null +++ b/web/public/locales/ro/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "Reluare de depanare", + "description": "Redă înregistrările camerei pentru depanare. Lista de obiecte arată un rezumat decalat în timp al obiectelor detectate, iar tab-ul Mesaje arată un flux de mesaje interne ale Frigate din înregistrarea redată.", + "websocket_messages": "Mesaje", + "dialog": { + "title": "Pornește reluarea de depanare", + "description": "Creează o cameră temporară de reluare care rulează în buclă înregistrări istorice pentru depanarea problemelor de detecție și urmărire a obiectelor. Camera de reluare va avea aceeași configurație de detecție ca și camera sursă. Alege un interval de timp pentru a începe.", + "camera": "Cameră sursă", + "timeRange": "Interval de timp", + "preset": { + "1m": "Ultimul minut", + "5m": "Ultimele 5 minute", + "timeline": "Din cronologie", + "custom": "Personalizat" + }, + "startButton": "Începe reluarea", + "selectFromTimeline": "Selectează", + "starting": "Pornire reluare...", + "startLabel": "Început", + "endLabel": "Sfârșit", + "toast": { + "error": "Pornirea reluării de depanare a eșuat: {{error}}", + "alreadyActive": "O sesiune de reluare este deja activă", + "stopError": "Oprirea reluării de depanare a eșuat: {{error}}", + "goToReplay": "Mergi la reluare" + } + }, + "page": { + "noSession": "Nicio sesiune de reluare de depanare activă", + "noSessionDesc": "Pornește o reluare de depanare din vizualizarea Istoric dând click pe butonul Acțiuni din bara de instrumente și alegând Reluare depanare.", + "goToRecordings": "Mergi la istoric", + "preparingClip": "Pregătire clip…", + "preparingClipDesc": "Frigate îmbină înregistrările pentru intervalul de timp selectat. Acest lucru poate dura un minut pentru intervale mai mari.", + "startingCamera": "Pornire reluare depanare…", + "startError": { + "title": "Pornirea reluării de depanare a eșuat", + "back": "Înapoi la istoric" + }, + "sourceCamera": "Camera sursă", + "replayCamera": "Camera de reluare", + "initializingReplay": "Inițializare reluare depanare...", + "stoppingReplay": "Oprire reluare depanare...", + "stopReplay": "Oprește reluarea", + "confirmStop": { + "title": "Oprești reluarea de depanare?", + "description": "Aceasta va opri sesiunea și va șterge toate datele temporare. Ești sigur?", + "confirm": "Oprește reluarea", + "cancel": "Anulează" + }, + "activity": "Activitate", + "objects": "Listă de obiecte", + "audioDetections": "Detecții audio", + "noActivity": "Nicio activitate detectată", + "activeTracking": "Urmărire activă", + "noActiveTracking": "Nicio urmărire activă", + "configuration": "Configurație", + "configurationDesc": "Ajustează setările de detecție a mișcării și urmărire a obiectelor pentru camera de reluare de depanare. Nicio modificare nu este salvată în fișierul tău de configurare Frigate." + } +} diff --git a/web/public/locales/ro/views/settings.json b/web/public/locales/ro/views/settings.json index 632f6137eb..f3636c14bb 100644 --- a/web/public/locales/ro/views/settings.json +++ b/web/public/locales/ro/views/settings.json @@ -44,7 +44,7 @@ "globalMotion": "Detecție mișcare", "globalObjects": "Obiecte", "globalReview": "Recenzie", - "globalAudioEvents": "Evenimente audio", + "globalAudioEvents": "Detecție audio", "globalLivePlayback": "Redare live", "globalTimestampStyle": "Stil timestamp", "systemDatabase": "Bază de date", @@ -74,7 +74,7 @@ "cameraMotion": "Detecție mișcare", "cameraObjects": "Obiecte", "cameraConfigReview": "Recenzie", - "cameraAudioEvents": "Evenimente audio", + "cameraAudioEvents": "Detecție audio", "cameraAudioTranscription": "Transcriere audio", "cameraNotifications": "Notificări", "cameraLivePlayback": "Redare live", @@ -781,7 +781,15 @@ "availableModels": "Modele Disponibile", "modelType": "Tip Model", "trainDate": "Data Antrenării", - "cameras": "Camere" + "cameras": "Camere", + "noModelLoaded": "Niciun model Frigate+ nu este încărcat în prezent.", + "selectModel": "Selectează un model", + "noModelsAvailable": "Niciun model disponibil", + "filter": { + "ariaLabel": "Filtrează modelele după tip", + "baseModels": "Modele de bază", + "fineTunedModels": "Modele optimizate" + } }, "toast": { "error": "Eroare la salvarea modificărilor de config: {{errorMessage}}", @@ -1282,7 +1290,8 @@ }, "hikvision": { "substreamWarning": "Substream 1 este limitat la o rezoluție mică. Multe camere Hikvision suportă substream-uri adiționale care trebuie activate din setările camerei. Se recomandă verificarea și utilizarea acestora." - } + }, + "resolutionUnknown": "Rezoluția acestui stream nu a putut fi sondată. Ar trebui să setezi manual rezoluția de detecție în Setări sau în configurația ta." } } }, @@ -1299,7 +1308,13 @@ "enableDesc": "Dezactivează temporar o cameră până la repornirea Frigate. Dezactivarea oprește procesarea stream-urilor pentru această cameră. Detecția, înregistrarea și depanarea vor fi indisponibile.
    Notă: Acest lucru nu dezactivează restream-urile go2rtc.", "disableLabel": "Camere dezactivate", "disableDesc": "Activează o cameră care este ascunsă în interfață și dezactivată în configurație. Este necesară repornirea Frigate după activare.", - "enableSuccess": "Am activat {{cameraName}} în configurație. Repornește Frigate pentru a aplica modificările." + "enableSuccess": "Am activat {{cameraName}} în configurație. Repornește Frigate pentru a aplica modificările.", + "friendlyName": { + "edit": "Editează numele afișat al camerei", + "title": "Editează numele afișat", + "description": "Setează numele afișat pentru această cameră în întreaga interfață Frigate. Lasă necompletat pentru a folosi ID-ul camerei.", + "rename": "Redenumește" + } }, "cameraConfig": { "add": "Adaugă Cameră", @@ -1349,7 +1364,16 @@ "inherit": "Moștenire", "enabled": "Activat", "disabled": "Dezactivat" - } + }, + "cameraType": { + "title": "Tip cameră", + "label": "Tip cameră", + "description": "Setează tipul pentru fiecare cameră. Camerele LPR dedicate sunt camere cu un singur scop, cu zoom optic puternic pentru a captura plăcuțele de înmatriculare ale vehiculelor aflate la distanță. Majoritatea camerelor ar trebui să folosească tipul normal de cameră, cu excepția cazului în care camera este special pentru LPR și are o vedere strâns focalizată pe plăcuțele de înmatriculare.", + "normal": "Normal", + "dedicatedLpr": "LPR dedicat", + "saveSuccess": "Tipul camerei a fost actualizat pentru {{cameraName}}. Repornește Frigate pentru a aplica modificările." + }, + "description": "Adaugă, editează și șterge camere, controlează care camere sunt activate și configurează suprascrieri per profil și tip de cameră. Pentru a configura stream-uri, detecția, mișcarea și alte setări specifice camerei, alege secțiunea specifică din Configurare Cameră." }, "cameraReview": { "title": "Setări Review Cameră", @@ -1648,7 +1672,9 @@ "options": { "embeddings": "Înglobare", "vision": "Viziune", - "tools": "Instrumente" + "tools": "Instrumente", + "descriptions": "Descrieri", + "chat": "Chat" } }, "semanticSearchModel": { @@ -1661,7 +1687,16 @@ "empty": "Nicio etichetă disponibilă", "allNonAlertDetections": "Toată activitatea fără alertă va fi inclusă ca detecții." }, - "addCustomLabel": "Adaugă etichetă personalizată..." + "addCustomLabel": "Adaugă etichetă personalizată...", + "genaiModel": { + "placeholder": "Selectează modelul…", + "search": "Caută modele…", + "noModels": "Niciun model disponibil" + }, + "knownPlates": { + "namePlaceholder": "ex. Mașina soției", + "platePlaceholder": "Număr plăcuță sau regex" + } }, "globalConfig": { "title": "Configurare Globală", @@ -1706,7 +1741,30 @@ "overriddenGlobal": "Suprascris (global)", "overriddenGlobalTooltip": "Această cameră suprascrie setările globale de configurare din această secțiune", "overriddenBaseConfig": "Suprascris (configurația de bază)", - "overriddenBaseConfigTooltip": "Profilul {{profile}} suprascrie setările de configurare din această secțiune" + "overriddenBaseConfigTooltip": "Profilul {{profile}} suprascrie setările de configurare din această secțiune", + "overriddenInCameras": { + "label_one": "Suprascris în {{count}} cameră", + "label_few": "Suprascris în {{count}} camere", + "label_other": "Suprascris în {{count}} de camere", + "tooltip_one": "{{count}} cameră suprascrie valorile din această secțiune. Click pentru a vedea detaliile.", + "tooltip_few": "{{count}} camere suprascriu valorile din această secțiune. Click pentru a vedea detaliile.", + "tooltip_other": "{{count}} de camere suprascriu valorile din această secțiune. Click pentru a vedea detaliile.", + "heading_one": "Această secțiune globală are câmpuri care sunt suprascrise în {{count}} cameră.", + "heading_few": "Această secțiune globală are câmpuri care sunt suprascrise în {{count}} camere.", + "heading_other": "Această secțiune globală are câmpuri care sunt suprascrise în {{count}} de camere.", + "othersField_one": "{{count}} alta", + "othersField_few": "{{count}} alte", + "othersField_other": "{{count}} de alte", + "profilePrefix": "Profil {{profile}}: {{fields}}" + }, + "overriddenGlobalHeading_one": "Această cameră suprascrie {{count}} câmp din configurația globală:", + "overriddenGlobalHeading_few": "Această cameră suprascrie {{count}} câmpuri din configurația globală:", + "overriddenGlobalHeading_other": "Această cameră suprascrie {{count}} de câmpuri din configurația globală:", + "overriddenGlobalNoDeltas": "Această cameră suprascrie configurația globală, dar nicio valoare a câmpurilor nu diferă.", + "overriddenBaseConfigHeading_one": "Profilul {{profile}} suprascrie {{count}} câmp din configurația de bază:", + "overriddenBaseConfigHeading_few": "Profilul {{profile}} suprascrie {{count}} câmpuri din configurația de bază:", + "overriddenBaseConfigHeading_other": "Profilul {{profile}} suprascrie {{count}} de câmpuri din configurația de bază:", + "overriddenBaseConfigNoDeltas": "Profilul {{profile}} suprascrie această secțiune, dar nicio valoare a câmpurilor nu diferă de configurația de bază." }, "profiles": { "title": "Profile", @@ -1801,13 +1859,21 @@ }, "onvif": { "profileAuto": "Auto", - "profileLoading": "Se încarcă profilurile..." + "profileLoading": "Se încarcă profilurile...", + "autotracking": { + "zooming": { + "disabled": "Dezactivat", + "absolute": "Absolut", + "relative": "Relativ" + } + } }, "configMessages": { "review": { "recordDisabled": "Înregistrarea este dezactivată, elementele de revizuire nu vor fi generate.", "detectDisabled": "Detecția obiectelor este dezactivată. Elementele de revizuire necesită obiecte detectate pentru a categorisi alertele și detecțiile.", - "allNonAlertDetections": "Toată activitatea fără alertă va fi inclusă ca detecții." + "allNonAlertDetections": "Toată activitatea fără alertă va fi inclusă ca detecții.", + "genaiImageSourceRecordingsRecordDisabled": "Sursa imaginii este setată pe 'recordings', dar înregistrarea este dezactivată. Frigate va reveni la imaginile de previzualizare." }, "audio": { "noAudioRole": "Niciun flux nu are rolul audio definit. Trebuie să activați rolul audio pentru ca detecția audio să funcționeze." @@ -1816,15 +1882,18 @@ "audioDetectionDisabled": "Detecția audio nu este activată pentru această cameră. Transcrierea audio necesită ca detecția audio să fie activă." }, "detect": { - "fpsGreaterThanFive": "Setarea cadrelor pe secundă pentru detecție la o valoare mai mare de 5 nu este recomandată." + "fpsGreaterThanFive": "Setarea FPS-ului de detecție mai mare de 5 nu este recomandată. Valorile mai mari pot cauza probleme de performanță și nu vor oferi niciun beneficiu.", + "disabled": "Detecția de obiecte este dezactivată. Snapshot-urile, elementele de revizuire și îmbogățirile precum recunoașterea facială, recunoașterea plăcuțelor de înmatriculare și AI-ul generativ nu vor funcționa." }, "faceRecognition": { - "globalDisabled": "Recunoașterea facială nu este activată la nivel global. Activați-o în setările globale pentru ca recunoașterea facială la nivel de cameră să funcționeze.", - "personNotTracked": "Recunoașterea facială necesită urmărirea obiectului „person”. Asigurați-vă că „person” este în lista de urmărire a obiectelor." + "globalDisabled": "Îmbogățirea pentru recunoaștere facială trebuie activată pentru ca funcțiile de recunoaștere facială să funcționeze pe această cameră.", + "personNotTracked": "Recunoașterea facială necesită ca obiectul 'person' să fie urmărit. Activează 'person' în Obiecte pentru această cameră.", + "modelSizeLarge": "Modelul 'large' necesită un GPU sau NPU pentru o performanță rezonabilă. Folosește 'small' pe sistemele doar cu CPU." }, "lpr": { - "globalDisabled": "Recunoașterea plăcuțelor de înmatriculare nu este activată la nivel global. Activați-o în setările globale pentru ca recunoașterea la nivel de cameră să funcționeze.", - "vehicleNotTracked": "Recunoașterea plăcuțelor de înmatriculare necesită ca „car” sau „motorcycle” să fie urmărite." + "globalDisabled": "Îmbogățirea pentru recunoașterea plăcuțelor de înmatriculare trebuie activată pentru ca funcțiile LPR să funcționeze pe această cameră.", + "vehicleNotTracked": "Recunoașterea plăcuțelor de înmatriculare necesită ca „car” sau „motorcycle” să fie urmărite.", + "modelSizeLarge": "Modelul 'large' este optimizat pentru plăcuțele de înmatriculare pe mai multe rânduri. Modelul 'small' oferă o performanță mai bună decât 'large' și ar trebui folosit cu excepția cazului în care regiunea ta folosește formate de plăcuțe pe mai multe rânduri." }, "record": { "noRecordRole": "Niciun flux nu are rolul de înregistrare definit. Înregistrarea nu va funcționa." @@ -1838,6 +1907,74 @@ "detectors": { "mixedTypes": "Toți detectorii trebuie să folosească același tip. Șterge detectorii existenți pentru a folosi un alt tip.", "mixedTypesSuggestion": "Toți detectorii trebuie să folosească același tip. Șterge detectorii existenți sau selectează {{type}}." + }, + "objects": { + "genaiNoDescriptionsProvider": "Trebuie să configurezi un furnizor GenAI cu rolul 'descriptions' pentru ca descrierile să fie generate." + }, + "semanticSearch": { + "jinav2SmallModelSize": "Dimensiunea 'small' cu modelul Jina V2 are un cost ridicat de RAM și inferență. Modelul 'large' cu un GPU dedicat este recomandat." } + }, + "birdseye": { + "trackingMode": { + "objects": "Obiecte", + "motion": "Mișcare", + "continuous": "Continuu" + } + }, + "snapshot": { + "retainMode": { + "all": "Toate", + "motion": "Mișcare", + "active_objects": "Obiecte active" + } + }, + "ui": { + "timeFormat": { + "browser": "Browser", + "12hour": "12 ore", + "24hour": "24 de ore" + }, + "TimeOrDateStyle": { + "long": "Lung", + "medium": "Mediu", + "short": "Scurt", + "full": "Complet" + }, + "unitSystem": { + "metric": "Metric", + "imperial": "Imperial" + } + }, + "review": { + "imageSource": { + "recordings": "Înregistrări", + "previews": "Previzualizări" + } + }, + "logger": { + "logLevel": { + "debug": "Depanare", + "info": "Informații", + "warning": "Avertisment", + "error": "Eroare", + "critical": "Critic" + } + }, + "modelSize": { + "small": "Mic", + "large": "Mare" + }, + "retainMode": { + "all": "Toate", + "motion": "Mișcare", + "active_objects": "Obiecte active" + }, + "previewQuality": { + "medium": "Mediu", + "very_high": "Foarte ridicat", + "high": "Ridicat", + "low": "Scăzut", + "very_low": "Foarte scăzut" } } diff --git a/web/public/locales/ro/views/system.json b/web/public/locales/ro/views/system.json index e829edd602..ef285da8b6 100644 --- a/web/public/locales/ro/views/system.json +++ b/web/public/locales/ro/views/system.json @@ -241,6 +241,9 @@ "expectedFps": "FPS așteptat", "reconnectsLastHour": "Reconectări (ultima oră)", "stallsLastHour": "Blocaje (ultima oră)" + }, + "noCameras": { + "title": "Nicio cameră găsită" } }, "stats": { diff --git a/web/public/locales/ru/common.json b/web/public/locales/ru/common.json index 54e214855d..db9390ed80 100644 --- a/web/public/locales/ru/common.json +++ b/web/public/locales/ru/common.json @@ -260,7 +260,8 @@ "setPassword": "Установить пароль" }, "appearance": "Внешний вид", - "classification": "Распознование" + "classification": "Распознование", + "profiles": "Профили" }, "pagination": { "label": "пагинация", diff --git a/web/public/locales/ru/components/dialog.json b/web/public/locales/ru/components/dialog.json index b935670c2e..562e8bc088 100644 --- a/web/public/locales/ru/components/dialog.json +++ b/web/public/locales/ru/components/dialog.json @@ -6,7 +6,8 @@ "title": "Frigate перезапускается", "content": "Эта страница перезагрузится через {{countdown}} сек.", "button": "Принудительная перезагрузка" - } + }, + "description": "Это перезагрузки перезагрузит Frigate." }, "explore": { "plus": { @@ -76,6 +77,10 @@ "fromTimeline": { "saveExport": "Сохранить экспорт", "previewExport": "Предпросмотр экспорта" + }, + "case": { + "label": "Случай", + "placeholder": "Выберите случай" } }, "streaming": { diff --git a/web/public/locales/ru/config/global.json b/web/public/locales/ru/config/global.json index 5e7de1ab3b..64b4958111 100644 --- a/web/public/locales/ru/config/global.json +++ b/web/public/locales/ru/config/global.json @@ -83,5 +83,59 @@ "label": "Конфигурация стационарных объектов", "description": "Настройки для обнаружения и управления объектами, которые остаются неподвижными в течение определенного периода времени." } + }, + "version": { + "label": "Текущая версия конфигурации", + "description": "Число или строка версии текущей конфигурации, которая может использоваться для определения миграций или форматирования изменений." + }, + "safe_mode": { + "label": "Безопасный режим", + "description": "Когда включено, Frigate запустится в безопасном режиме с ограниченными функциями для поиска неисправностей." + }, + "environment_vars": { + "label": "Переменные окружения", + "description": "Пары ключ/значения для переменных окружения которые необходимо задать для процесса Frigate в Home Assistant OS. Пользователи, которые не исползуют HAOS должны испольовать переменные окружения в Docker." + }, + "logger": { + "label": "Логирование", + "description": "Управляет уровнем логирования по умолчанию и переопределением уровня для каждого компонента.", + "default": { + "label": "Уровень логирования", + "description": "Стандартный глобальный уровень логирования (debug, info, warning, error)." + }, + "logs": { + "label": "Уровень логирования для каждого процесса" + } + }, + "auth": { + "label": "Аутентификация", + "description": "Настройки аутентификации и сеанса, включая параметры cookie и ограничения скорости.", + "enabled": { + "label": "Включить аутентификацию", + "description": "Включить встроенную аутентификацию для интерфейса Frigate." + }, + "reset_admin_password": { + "label": "Сбросить пароль администратора", + "description": "Если выбрано, сбросить пароль администратора при запуске и отобразить новый пароль в логе." + }, + "cookie_name": { + "label": "Имя куки JWT", + "description": "Имя куки, используемого для хранения JWT токена для стандартной аутенфикации." + }, + "cookie_secure": { + "label": "Флаг \"безопасный куки\"", + "description": "Устанавливает флаг \"secure\" на куки аутенфикации; должно быть включено когда используется TLS." + }, + "session_length": { + "label": "Длинна сессии", + "description": "Длина сессии в секундах для JWT сессий." + }, + "refresh_time": { + "label": "Окно обновления сессии", + "description": "Когда сессия в стольки секундах от истечения, обновить её обратно к полной длительности." + }, + "failed_login_rate_limit": { + "label": "Лимит неудавшихся попыток логина" + } } } diff --git a/web/public/locales/ru/config/groups.json b/web/public/locales/ru/config/groups.json index 0967ef424b..a7c9152f5b 100644 --- a/web/public/locales/ru/config/groups.json +++ b/web/public/locales/ru/config/groups.json @@ -1 +1,65 @@ -{} +{ + "audio": { + "global": { + "sensitivity": "Общая чувствительность", + "detection": "Общее обнаружение" + }, + "cameras": { + "detection": "Обнаружение", + "sensitivity": "Чувствительность" + } + }, + "timestamp_style": { + "global": { + "appearance": "Глобальный вид" + }, + "cameras": { + "appearance": "Вид" + } + }, + "motion": { + "global": { + "sensitivity": "Глобальная чувствительность", + "algorithm": "Глобальный алгоритм" + }, + "cameras": { + "sensitivity": "Чувствительность", + "algorithm": "Алгоритм" + } + }, + "detect": { + "global": { + "resolution": "Глобальное разрешение", + "tracking": "Глобальное отслеживание" + }, + "cameras": { + "resolution": "Разрешение", + "tracking": "Отслеживание" + } + }, + "objects": { + "global": { + "tracking": "Глобальное отслеживание", + "filtering": "Глобальная фильтрация" + }, + "cameras": { + "tracking": "Отслеживание", + "filtering": "Фильтрация" + } + }, + "record": { + "global": { + "retention": "Глобальное сохранение данных", + "events": "Глобальные события" + }, + "cameras": { + "retention": "Сохранение данных", + "events": "События" + } + }, + "ffmpeg": { + "cameras": { + "cameraFfmpeg": "Аргументы FFmpeg для этой камеры" + } + } +} diff --git a/web/public/locales/ru/config/validation.json b/web/public/locales/ru/config/validation.json index 0967ef424b..2314881ed9 100644 --- a/web/public/locales/ru/config/validation.json +++ b/web/public/locales/ru/config/validation.json @@ -1 +1,32 @@ -{} +{ + "maximum": "Должно быть максимум {{limit}}", + "exclusiveMinimum": "Должно быть больше {{limit}}", + "exclusiveMaximum": "Должно быть не более {{limit}}", + "minLength": "Должно быть не менее {{limit}} символов", + "maxLength": "Должно быть не более {{limit}} символов", + "minItems": "Должно быть не менее {{limit}} значений", + "maxItems": "Должно быть не более {{limit}} значений", + "pattern": "Неправильный формат", + "required": "Это поле обязательно", + "type": "Неправильный тип значения", + "enum": "Должно быть одним из списка разрешенных значений", + "const": "Значение не совпадает с ожидаемой константой", + "uniqueItems": "Все значения должны быть уникальны", + "format": "Неправильный формат", + "additionalProperties": "Неизвестное значение недопустимо", + "oneOf": "Должно совпадать только с одной из разрешенных схем", + "anyOf": "Должно совпадать как минимум с одной из разрешенных схем", + "proxy": { + "header_map": { + "roleHeaderRequired": "Заголовок роли требуется когда маппинги ролей настроены." + } + }, + "ffmpeg": { + "inputs": { + "rolesUnique": "Каждой роли может быть назначен только один входной поток.", + "detectRequired": "Как минимум один входной поток должен быть назначен роли 'detect'.", + "hwaccelDetectOnly": "Только входной поток с ролью detect может настраивать аппаратное ускорение." + } + }, + "minimum": "Должно быть минимум {{limit}}" +} diff --git a/web/public/locales/ru/views/chat.json b/web/public/locales/ru/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ru/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ru/views/classificationModel.json b/web/public/locales/ru/views/classificationModel.json index 6dbe7a4b16..1213912961 100644 --- a/web/public/locales/ru/views/classificationModel.json +++ b/web/public/locales/ru/views/classificationModel.json @@ -18,11 +18,11 @@ "toast": { "success": { "deletedCategory_one": "Класс удалён", - "deletedCategory_few": "", - "deletedCategory_many": "", + "deletedCategory_few": "Класса удалено", + "deletedCategory_many": "Классов удалено", "deletedImage_one": "Изображения удалены", - "deletedImage_few": "", - "deletedImage_many": "", + "deletedImage_few": "Изображения удалено", + "deletedImage_many": "Изображений удалено", "deletedModel_one": "Успешно удалена {{count}} модель", "deletedModel_few": "Успешно удалены {{count}} модели", "deletedModel_many": "Успешно удалены {{count}} моделей", @@ -30,7 +30,8 @@ "trainedModel": "Модель успешно обучена.", "trainingModel": "Обучение модели успешно запущено.", "updatedModel": "Конфигурация модели успешно обновлена", - "renamedCategory": "Класс успешно переименован в {{name}}" + "renamedCategory": "Класс успешно переименован в {{name}}", + "reclassifiedImage": "Изображение успешно переклассифцировано" }, "error": { "deleteImageFailed": "Не удалось удалить: {{errorMessage}}", diff --git a/web/public/locales/ru/views/events.json b/web/public/locales/ru/views/events.json index a506ea4529..20fa143aed 100644 --- a/web/public/locales/ru/views/events.json +++ b/web/public/locales/ru/views/events.json @@ -16,7 +16,9 @@ "description": "Элементы обзора могут быть созданы для камеры только в том случае, если запись включена для этой камеры." } }, - "timeline": "Таймлайн", + "timeline": { + "label": "Хронология" + }, "timeline.aria": "Выбор таймлайна", "events": { "label": "События", diff --git a/web/public/locales/ru/views/exports.json b/web/public/locales/ru/views/exports.json index c14a578cab..70f8753b6e 100644 --- a/web/public/locales/ru/views/exports.json +++ b/web/public/locales/ru/views/exports.json @@ -2,7 +2,9 @@ "documentTitle": "Экспорт - Frigate", "search": "Поиск", "noExports": "Не найдено файлов экспорта", - "deleteExport": "Удалить экспорт", + "deleteExport": { + "label": "Удалить экспорт" + }, "deleteExport.desc": "Вы уверены, что хотите удалить {{exportName}}?", "editExport": { "title": "Переименовать экспорт", @@ -11,13 +13,27 @@ }, "toast": { "error": { - "renameExportFailed": "Не удалось переименовать экспорт: {{errorMessage}}" + "renameExportFailed": "Не удалось переименовать экспорт: {{errorMessage}}", + "assignCaseFailed": "Не удалось обновить назначение случая: {{errorMessage}}" } }, "tooltip": { "shareExport": "Поделиться экспортом", "downloadVideo": "Скачать видео", "editName": "Изменить название", - "deleteExport": "Удалить экспорт" + "deleteExport": "Удалить экспорт", + "assignToCase": "Добавить в случай" + }, + "headings": { + "cases": "Случаи", + "uncategorizedExports": "Некатегоризированные экспорты" + }, + "caseDialog": { + "title": "Добавить в случай", + "description": "Выберите существующий случай или создайте новый.", + "selectLabel": "Случай", + "newCaseOption": "Создать новый случай", + "nameLabel": "Название случая", + "descriptionLabel": "Описание" } } diff --git a/web/public/locales/ru/views/faceLibrary.json b/web/public/locales/ru/views/faceLibrary.json index 90aa901d18..d3950b3a92 100644 --- a/web/public/locales/ru/views/faceLibrary.json +++ b/web/public/locales/ru/views/faceLibrary.json @@ -13,7 +13,8 @@ "description": { "placeholder": "Введите название коллекции", "addFace": "Добавьте новую коллекцию в библиотеку лиц, загрузив свое первое изображение.", - "invalidName": "Недопустимое имя. Имена могут содержать только буквы, цифры, пробелы, апострофы, подчёркивания и дефисы." + "invalidName": "Недопустимое имя. Имена могут содержать только буквы, цифры, пробелы, апострофы, подчёркивания и дефисы.", + "nameCannotContainHash": "Имя не может содержать #." }, "createFaceLibrary": { "desc": "Создание новой коллекции", diff --git a/web/public/locales/ru/views/live.json b/web/public/locales/ru/views/live.json index 3cf017a943..437a44af61 100644 --- a/web/public/locales/ru/views/live.json +++ b/web/public/locales/ru/views/live.json @@ -1,5 +1,7 @@ { - "documentTitle": "Прямой эфир - Frigate", + "documentTitle": { + "default": "Прямой эфир - Frigate" + }, "documentTitle.withCamera": "{{camera}} - Прямой эфир - Frigate", "lowBandwidthMode": "Экономичный режим", "twoWayTalk": { @@ -15,7 +17,8 @@ "clickMove": { "label": "Кликните в кадре для центрирования камеры", "enable": "Включить перемещение по клику", - "disable": "Отключить перемещение по клику" + "disable": "Отключить перемещение по клику", + "enableWithZoom": "Включить \"клик для перемещения / перетащить для масштабирования\"" }, "left": { "label": "Переместить PTZ-камеру влево" diff --git a/web/public/locales/ru/views/motionSearch.json b/web/public/locales/ru/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ru/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ru/views/replay.json b/web/public/locales/ru/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ru/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ru/views/settings.json b/web/public/locales/ru/views/settings.json index 504c51178a..8eb69ecc43 100644 --- a/web/public/locales/ru/views/settings.json +++ b/web/public/locales/ru/views/settings.json @@ -12,7 +12,11 @@ "notifications": "Настройки уведомлений - Frigate", "enrichments": "Настройки обогащения - Frigate", "cameraManagement": "Управление камерами - Frigate", - "cameraReview": "Настройки просмотра камеры - Frigate" + "cameraReview": "Настройки просмотра камеры - Frigate", + "globalConfig": "Глобальная конфигурация - Frigate", + "cameraConfig": "Настройки камеры - Frigate", + "maintenance": "Обслуживание - Frigate", + "profiles": "Профили - Frigate" }, "menu": { "cameras": "Настройки камеры", @@ -28,7 +32,14 @@ "triggers": "Триггеры", "cameraManagement": "Управление", "cameraReview": "Обзор", - "roles": "Роли" + "roles": "Роли", + "general": "Общее", + "globalConfig": "Глобальная конфигурация", + "system": "Система", + "integrations": "Интеграции", + "uiSettings": "Настройки интерфейса", + "profiles": "Профили", + "globalDetect": "Обнаружение объектов" }, "dialog": { "unsavedChanges": { @@ -1258,5 +1269,11 @@ "success": "Конфигурация классификации обзора была сохранена. Перезапустите Frigate для применения изменений." } } + }, + "button": { + "overriddenGlobal": "Перезаписано (глобально)", + "overriddenGlobalTooltip": "Эта камера перезаписывает глобальные настройки в этой секции", + "overriddenBaseConfig": "Перезаписано (базовые настройки)", + "overriddenBaseConfigTooltip": "Перезаписи настроек профиля {{profile}} в этой секции" } } diff --git a/web/public/locales/ru/views/system.json b/web/public/locales/ru/views/system.json index 0317136326..887678a201 100644 --- a/web/public/locales/ru/views/system.json +++ b/web/public/locales/ru/views/system.json @@ -7,7 +7,8 @@ "logs": { "frigate": "Логи Frigate - Frigate", "go2rtc": "Логи Go2RTC - Frigate", - "nginx": "Логи Nginx - Frigate" + "nginx": "Логи Nginx - Frigate", + "websocket": "Логи сообщений - Frigate" } }, "title": "Система", @@ -33,6 +34,27 @@ "fetchingLogsFailed": "Ошибка получения логов: {{errorMessage}}", "whileStreamingLogs": "Ошибка при потоковой передаче логов: {{errorMessage}}" } + }, + "websocket": { + "label": "Сообщения", + "pause": "Пауза", + "resume": "Продолжить", + "clear": "Очистить", + "filter": { + "all": "Все топики", + "topics": "Топики", + "events": "События", + "classification": "Классификация", + "face_recognition": "Распознавание лиц", + "lpr": "Распознавание номерных знаков", + "camera_activity": "Активность камеры", + "system": "Система", + "camera": "Камера", + "all_cameras": "Все камеры", + "cameras_count_one": "{{count}} камера", + "cameras_count_other": "{{count}} камеры" + }, + "empty": "Сообщения ещё не были получены" } }, "general": { diff --git a/web/public/locales/sk/views/chat.json b/web/public/locales/sk/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sk/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sk/views/motionSearch.json b/web/public/locales/sk/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sk/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sk/views/replay.json b/web/public/locales/sk/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sk/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sl/views/chat.json b/web/public/locales/sl/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sl/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sl/views/motionSearch.json b/web/public/locales/sl/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sl/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sl/views/replay.json b/web/public/locales/sl/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sl/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sq/views/chat.json b/web/public/locales/sq/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sq/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sq/views/motionSearch.json b/web/public/locales/sq/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sq/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sq/views/replay.json b/web/public/locales/sq/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sq/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sr/views/chat.json b/web/public/locales/sr/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sr/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sr/views/motionSearch.json b/web/public/locales/sr/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sr/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sr/views/replay.json b/web/public/locales/sr/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sr/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sv/config/cameras.json b/web/public/locales/sv/config/cameras.json index 0967ef424b..bfa6612cd2 100644 --- a/web/public/locales/sv/config/cameras.json +++ b/web/public/locales/sv/config/cameras.json @@ -1 +1,6 @@ -{} +{ + "label": "Kamera konfiguration", + "name": { + "label": "Kameranamn" + } +} diff --git a/web/public/locales/sv/config/global.json b/web/public/locales/sv/config/global.json index 0967ef424b..f123fa26cf 100644 --- a/web/public/locales/sv/config/global.json +++ b/web/public/locales/sv/config/global.json @@ -1 +1,5 @@ -{} +{ + "version": { + "label": "Nuvarande konfigurationsversion" + } +} diff --git a/web/public/locales/sv/config/groups.json b/web/public/locales/sv/config/groups.json index 0967ef424b..4a81abf8e8 100644 --- a/web/public/locales/sv/config/groups.json +++ b/web/public/locales/sv/config/groups.json @@ -1 +1,7 @@ -{} +{ + "audio": { + "global": { + "sensitivity": "Global känslighet" + } + } +} diff --git a/web/public/locales/sv/config/validation.json b/web/public/locales/sv/config/validation.json index 0967ef424b..23e4d27483 100644 --- a/web/public/locales/sv/config/validation.json +++ b/web/public/locales/sv/config/validation.json @@ -1 +1,3 @@ -{} +{ + "minimum": "Måste minst vara {{limit}}" +} diff --git a/web/public/locales/sv/views/chat.json b/web/public/locales/sv/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sv/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sv/views/motionSearch.json b/web/public/locales/sv/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sv/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/sv/views/replay.json b/web/public/locales/sv/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/sv/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/th/common.json b/web/public/locales/th/common.json index b920787973..75cbef6a07 100644 --- a/web/public/locales/th/common.json +++ b/web/public/locales/th/common.json @@ -66,7 +66,8 @@ "12hour": "MM-dd-yy-h-mm-ss-a", "24hour": "MM-dd-yy-HH-mm-ss" }, - "formattedTimestampMonthDay": "MMM d" + "formattedTimestampMonthDay": "MMM d", + "never": "ไม่เคย" }, "label": { "back": "ย้อนกลับ" diff --git a/web/public/locales/th/config/cameras.json b/web/public/locales/th/config/cameras.json index 0967ef424b..4a4191953a 100644 --- a/web/public/locales/th/config/cameras.json +++ b/web/public/locales/th/config/cameras.json @@ -1 +1,16 @@ -{} +{ + "label": "ตั้งค่ากล้อง", + "name": { + "label": "ชื่อกล้อง" + }, + "friendly_name": { + "label": "ชื่อแบบจำง่าย" + }, + "enabled": { + "label": "ถูกเปิดอยู่", + "description": "ถูกเปิดอยู่" + }, + "audio": { + "label": "การตรวจจับเสียง" + } +} diff --git a/web/public/locales/th/config/global.json b/web/public/locales/th/config/global.json index 0967ef424b..86743dce82 100644 --- a/web/public/locales/th/config/global.json +++ b/web/public/locales/th/config/global.json @@ -1 +1,16 @@ -{} +{ + "version": { + "label": "การตั้งค่าปัจจุบัน" + }, + "environment_vars": { + "label": "สภาพแวดล้อมที่หลากหลาย" + }, + "audio": { + "label": "การตรวจจับเสียง" + }, + "auth": { + "enabled": { + "label": "เปิดใช้การยืนยันตัวตน" + } + } +} diff --git a/web/public/locales/th/config/groups.json b/web/public/locales/th/config/groups.json index 0967ef424b..43ae3e5bc7 100644 --- a/web/public/locales/th/config/groups.json +++ b/web/public/locales/th/config/groups.json @@ -1 +1,18 @@ -{} +{ + "audio": { + "cameras": { + "detection": "การตรวจจับ", + "sensitivity": "ความอ่อนไหว" + } + }, + "snapshots": { + "cameras": { + "display": "แสดงผล" + } + }, + "detect": { + "cameras": { + "resolution": "ความละเอียด" + } + } +} diff --git a/web/public/locales/th/config/validation.json b/web/public/locales/th/config/validation.json index 0967ef424b..1e9b0d54d7 100644 --- a/web/public/locales/th/config/validation.json +++ b/web/public/locales/th/config/validation.json @@ -1 +1,9 @@ -{} +{ + "maximum": "มากที่สุดไม่เกิน {{limit}}", + "exclusiveMinimum": "ต้องเกินกว่า {{limit}}", + "exclusiveMaximum": "ต้องน้อยกว่า {{limit}}", + "minLength": "จำนวนอย่างน้อย {{limit}} อักขระ", + "maxLength": "ต้องไม่เกิน {{limit}} อักขระ", + "maxItems": "ต้องไม่เกิน {{limit}}", + "minimum": "ขั้นต่ำ {{limit}}" +} diff --git a/web/public/locales/th/views/chat.json b/web/public/locales/th/views/chat.json new file mode 100644 index 0000000000..4390d3961c --- /dev/null +++ b/web/public/locales/th/views/chat.json @@ -0,0 +1,10 @@ +{ + "documentTitle": "สนทนา - Frigate", + "subtitle": "AI ผู้ช่วยบริหารจัดการข้อมูลเชิงลึกสำหรับกล้องวงจรปิดของคุณ", + "placeholder": "เชิญถาม…", + "error": "เกิดข้อขัดข้อง โปรดลองอีกครั้ง", + "processing": "กำลังประมวลผล…", + "showTools": "แสดงเครื่องมือ ({{count}})", + "response": "ตอบกลับ", + "attachment_chip_remove": "เอาสิ่งที่แนบออก" +} diff --git a/web/public/locales/th/views/classificationModel.json b/web/public/locales/th/views/classificationModel.json index 5d1307ccf7..81389c3328 100644 --- a/web/public/locales/th/views/classificationModel.json +++ b/web/public/locales/th/views/classificationModel.json @@ -2,9 +2,13 @@ "documentTitle": "โมเดลการจำแนกประเภท- Frigate", "details": { "scoreInfo": "คะแนน (Score) คือค่าเฉลี่ยของความมั่นใจในการจำแนกประเภท (Classification Confidence) จากการตรวจจับวัตถุชิ้นนี้ในทุกๆ ครั้ง", - "none": "ไม่มี" + "none": "ไม่มี", + "unknown": "ไม่ทราบ" }, "description": { "invalidName": "ชื่อไม่ถูกต้อง ชื่อสามารถประกอบได้ด้วยตัวอักษร, ตัวเลข, ช่องว่าง, เครื่องหมาย ( ' , _ , - ) เท่านั้น" + }, + "button": { + "deleteImages": "ลบภาพ" } } diff --git a/web/public/locales/th/views/events.json b/web/public/locales/th/views/events.json index f303ea6b3c..9279e9ae33 100644 --- a/web/public/locales/th/views/events.json +++ b/web/public/locales/th/views/events.json @@ -34,5 +34,6 @@ "detections": "การตรวจจับ", "selected_one": "เลือก {{count}} แล้ว", "timeline.aria": "เลือกไทม์ไลน์", - "documentTitle": "รีวิว - Frigate" + "documentTitle": "รีวิว - Frigate", + "zoomIn": "ซูมเข้า" } diff --git a/web/public/locales/th/views/explore.json b/web/public/locales/th/views/explore.json index 030d228994..8c17c33b03 100644 --- a/web/public/locales/th/views/explore.json +++ b/web/public/locales/th/views/explore.json @@ -8,7 +8,10 @@ "context": "สํารวจสามารถใช้หลังจากติดตามวัตถุเสร็จ.", "startingUp": "เริ่มต้น…", "estimatedTime": "ระยะเวลาโดยประมาณ:", - "finishingShortly": "เสร็จเร็วๆนี้" + "finishingShortly": "เสร็จเร็วๆนี้", + "step": { + "thumbnailsEmbedded": "รูปภาพย่อที่ฝังไว้: " + } }, "downloadingModels": { "tips": { diff --git a/web/public/locales/th/views/exports.json b/web/public/locales/th/views/exports.json index 698c6f82b8..1c58da8353 100644 --- a/web/public/locales/th/views/exports.json +++ b/web/public/locales/th/views/exports.json @@ -13,5 +13,11 @@ "error": { "renameExportFailed": "ผิดพลาดในการแก้ไขชื่อการส่งออก: {{errorMessage}}" } + }, + "headings": { + "cases": "กรณี" + }, + "tooltip": { + "editName": "เปลี่ยนชื่อ" } } diff --git a/web/public/locales/th/views/faceLibrary.json b/web/public/locales/th/views/faceLibrary.json index d663a7bcf6..4cbefcc7ab 100644 --- a/web/public/locales/th/views/faceLibrary.json +++ b/web/public/locales/th/views/faceLibrary.json @@ -2,7 +2,7 @@ "details": { "person": "คน", "subLabelScore": "คะแนน Sub Label", - "unknown": "ไม่รู้", + "unknown": "ไม่ทราบ", "timestamp": "เวลา" }, "steps": { @@ -46,7 +46,8 @@ "description": { "addFace": "เพิ่มคอลเลกชันใหม่ไปยังคลังใบหน้า โดยการอัปโหลดรูปภาพแรก", "placeholder": "ใส่ชื่อสําหรับคอลเลกชันนี้", - "invalidName": "ชื่อไม่ถูกต้อง ชื่อสามารถประกอบได้ด้วยตัวอักษร, ตัวเลข, ช่องว่าง, เครื่องหมาย ( ' , _ , - ) เท่านั้น" + "invalidName": "ชื่อไม่ถูกต้อง ชื่อสามารถประกอบได้ด้วยตัวอักษร, ตัวเลข, ช่องว่าง, เครื่องหมาย ( ' , _ , - ) เท่านั้น", + "nameCannotContainHash": "ชื่อ ห้ามมีเครื่องหมาย #" }, "toast": { "success": { @@ -54,5 +55,6 @@ "deletedName_other": "{{count}} หน้าถูกลบไปเรียบร้อยแล้ว." } }, - "readTheDocs": "อ่านเอกสาร" + "readTheDocs": "อ่านเอกสาร", + "documentTitle": "คลังข้อมูลใบหน้า - Frigate" } diff --git a/web/public/locales/th/views/live.json b/web/public/locales/th/views/live.json index ccf620b84c..3bdd408f89 100644 --- a/web/public/locales/th/views/live.json +++ b/web/public/locales/th/views/live.json @@ -12,7 +12,9 @@ "tips.documentation": "อ่านเอกสาร " } }, - "documentTitle": "สด - Frigate", + "documentTitle": { + "default": "ถ่ายทอดสด - Frigate" + }, "lowBandwidthMode": "โหมดแบนด์วิดท์ต่ำ", "twoWayTalk": { "enable": "เปิดใช้งานการสนทนาสองทาง", @@ -45,5 +47,12 @@ }, "recording": { "disable": "ปิดการบันทึก" + }, + "ptz": { + "move": { + "clickMove": { + "label": "คลิกที่ภาพ เพื่อเลือกตำแหน่งที่จะตั้งค่าให้เป็นศูนย์กลางภาพ" + } + } } } diff --git a/web/public/locales/th/views/motionSearch.json b/web/public/locales/th/views/motionSearch.json new file mode 100644 index 0000000000..852fb09cb9 --- /dev/null +++ b/web/public/locales/th/views/motionSearch.json @@ -0,0 +1,11 @@ +{ + "documentTitle": "ค้นหาการเคลื่อนไหว - Frigate", + "title": "ค้นหาการเคลื่อนไหว", + "description": "วาดเส้นกรอบกำหนดขอบเขตที่ต้องการ และระบุช่วงเวลาค้นหาการเคลื่อนไหวในบริเวณนั้น", + "startSearch": "เริ่มการค้นหา", + "searchStarted": "การค้นหาเริ่มแล้ว", + "searchCancelled": "เลิกค้นหาแล้ว", + "cancelSearch": "ยกเลิก", + "noChangesFound": "ไม่มีการเปลี่ยนแปลงในภาพบริเวณที่เลือก", + "jumpToTime": "ข้ามมาที่เวลานี้" +} diff --git a/web/public/locales/th/views/replay.json b/web/public/locales/th/views/replay.json new file mode 100644 index 0000000000..1c8cc9b831 --- /dev/null +++ b/web/public/locales/th/views/replay.json @@ -0,0 +1,13 @@ +{ + "websocket_messages": "ข้อความ", + "dialog": { + "camera": "ภาพจากกล้อง", + "timeRange": "ช่วงเวลา", + "preset": { + "1m": "1 นาทีสุดท้าย" + }, + "startButton": "เริ่มเล่นภาพย้อนหลัง", + "selectFromTimeline": "เลือก", + "startLabel": "เริ่ม" + } +} diff --git a/web/public/locales/th/views/settings.json b/web/public/locales/th/views/settings.json index b848a4e279..ebd2805da4 100644 --- a/web/public/locales/th/views/settings.json +++ b/web/public/locales/th/views/settings.json @@ -109,7 +109,8 @@ "cameraManagement": "จัดการกล้อง - Frigate", "enrichments": "การตั้งค่าของเพิ่มเติม - Frigate", "motionTuner": "ปรับแต่งการเคลื่อนไหว - Frigate", - "object": "ดีบั๊ก - Frigate" + "object": "ดีบั๊ก - Frigate", + "cameraReview": "แสดงการตั้งค่าของกล้อง - Frigate" }, "menu": { "notifications": "การแจ้งเตือน", diff --git a/web/public/locales/th/views/system.json b/web/public/locales/th/views/system.json index 4ab0f7361f..90e29a25ef 100644 --- a/web/public/locales/th/views/system.json +++ b/web/public/locales/th/views/system.json @@ -64,7 +64,17 @@ "logs": { "frigate": "Frigate Logs - Frigate", "go2rtc": "Logs ของ Go2RTC - Frigate", - "nginx": "Logs ของ Nginx - Frigate" + "nginx": "Logs ของ Nginx - Frigate", + "websocket": "ประวัติข้อความ - Frigate" + } + }, + "logs": { + "websocket": { + "pause": "พัก", + "clear": "ลบล้าง", + "filter": { + "all": "ทุกหัวข้อ" + } } } } diff --git a/web/public/locales/tr/common.json b/web/public/locales/tr/common.json index 2a97d8d0f4..08b415cede 100644 --- a/web/public/locales/tr/common.json +++ b/web/public/locales/tr/common.json @@ -123,7 +123,19 @@ "twoWayTalk": "Çift Yönlü Ses", "close": "Kapat", "delete": "Sil", - "continue": "Devam Et" + "continue": "Devam Et", + "add": "Ekle", + "applying": "Uygulanıyor…", + "undo": "Geri al", + "copiedToClipboard": "Panoya kopyaladı", + "modified": "Değiştirilmiş", + "overridden": "Üstüne yazılmış", + "resetToGlobal": "Genele sıfırla", + "resetToDefault": "Varsayılana sıfırla", + "saveAll": "Hepsini Kaydet", + "savingAll": "Hepsi Kaydediliyor…", + "undoAll": "Hepsini Geri Al", + "retry": "Yeniden dene" }, "menu": { "systemLogs": "Sistem günlükleri", @@ -179,7 +191,8 @@ "bg": "Български (Bulgarca)", "gl": "Galego (Galiçyaca)", "id": "Bahasa Indonesia (Endonezce)", - "ur": "اردو (Urduca)" + "ur": "اردو (Urduca)", + "hr": "Hrvatski (Hırvatça)" }, "withSystem": "Sistem", "theme": { @@ -225,7 +238,10 @@ "faceLibrary": "Yüz Veritabanı", "systemMetrics": "Sistem metrikleri", "uiPlayground": "UI Deneme Alanı", - "classification": "Sınıflandırma" + "classification": "Sınıflandırma", + "profiles": "Profiller", + "actions": "Eylemler", + "chat": "Sohbet" }, "label": { "back": "Geri", @@ -283,7 +299,8 @@ "error": { "noMessage": "Yapılandırma değişiklikleri kaydedilemedi", "title": "Yapılandırma değişiklikleri kaydedilemedi: {{errorMessage}}" - } + }, + "success": "Yapılandırma değişiklikleri kaydedildi." } }, "selectItem": "{{item}} seçin", @@ -305,5 +322,7 @@ }, "information": { "pixels": "{{area}}px" - } + }, + "no_items": "Öge bulunmuyor", + "validation_errors": "Doğrulama Hataları" } diff --git a/web/public/locales/tr/components/dialog.json b/web/public/locales/tr/components/dialog.json index 35fe451704..19cf03c621 100644 --- a/web/public/locales/tr/components/dialog.json +++ b/web/public/locales/tr/components/dialog.json @@ -6,7 +6,8 @@ "content": "Bu sayfa {{countdown}} saniye sonra yeniden yüklenecektir.", "title": "Frigate Yeniden Başlatılıyor", "button": "Şimdi Yeniden Yükle" - } + }, + "description": "Bu Frigate'i kısa süreliğine yeniden başlayana kadar durduracak." }, "explore": { "plus": { @@ -65,7 +66,11 @@ "endTimeMustAfterStartTime": "Bitiş zamanı başlangıç zamanından sonra olmalıdır", "noVaildTimeSelected": "Geçerli bir zaman aralığı seçilmedi" }, - "view": "Görüntüle" + "view": "Görüntüle", + "queued": "Dışa aktarımlar kuyruğa alındı. İlerlemeyi dışa aktarım sayfasından görebilirsiniz.", + "batchSuccess_one": "1 Adet dışa aktarım başlatıldı. Durum açılıyor.", + "batchSuccess_other": "{{count}} Adet dışa aktarım başlatıldı. Durum açılıyor.", + "batchPartial": "{{total}} üzerinden {{successful}} adet dışa aktarım başlatıldı. Başarısız: {{failedCameras}}" }, "fromTimeline": { "saveExport": "Dışa Aktarımı Kaydet", @@ -73,6 +78,52 @@ }, "name": { "placeholder": "Dışa Aktarımı Adlandırın" + }, + "case": { + "newCaseOption": "Yeni durum oluştur", + "newCaseNamePlaceholder": "Yeni durum ismi", + "newCaseDescriptionPlaceholder": "Durum açıklaması", + "label": "Durum", + "nonAdminHelp": "Bu dışa aktarımlar için yeni durumlar oluşturulacak.", + "placeholder": "Durum seç" + }, + "queueing": "Dışa aktarımlar kuyruğa alınıyor...", + "tabs": { + "export": "Tek Kamera", + "multiCamera": "Çoklu Kamera" + }, + "multiCamera": { + "timeRange": "Zaman Aralığı", + "selectFromTimeline": "Zaman çizelgesinden seç", + "cameraSelection": "Kameralar", + "cameraSelectionHelp": "Bu zaman aralığında ki obje takibi olan kameralar önceden seçildi", + "checkingActivity": "Kamera faliyeti kontrol ediliyor...", + "noCameras": "Kamera mevcut değil", + "detectionCount_one": "1 adet takip edilen obje", + "detectionCount_other": "{{count}} adet takip edilen obje", + "nameLabel": "Dışa aktarım ismi", + "namePlaceholder": "Dışa aktarım için opsiyonel temel isim", + "queueingButton": "Dışa aktarımlar kuyruğa alınıyor...", + "exportButton_one": "1 Adet Kamera Dışarı Aktarıldı", + "exportButton_other": "{{count}} Adet Kamera Dışarı Aktarıldı" + }, + "multi": { + "title_one": "1 Adet Değerlendirme Dışarı Aktarıldı", + "title_other": "{{count}} Adet Değerlendirme Dışarı Aktarıldı", + "description": "Seçilmiş değerlendirmeleri tek tek dışa aktarın. Bütün dışa aktarımlar tek bir durum altında toplanacak.", + "descriptionNoCase": "Seçilmiş değerlendirmeleri tek tek dışa aktar.", + "caseNamePlaceholder": "Değerlendirme dışa aktarımı - {{date}}", + "exportButton_one": "1 Adet Değerlendirme'yi dışa akatar", + "exportButton_other": "{{count}} Adet Değerlendirme'yi dışa akatar", + "exportingButton": "Dışa aktarılıyor...", + "toast": { + "started_one": "1 Adet dışa aktarın başladı. Durum açılıyor.", + "started_other": "{{count}} Adet dışa aktarın başladı. Durum açılıyor.", + "startedNoCase_one": "1 Adet dışa aktarım başladı.", + "startedNoCase_other": "{{count}} Adet dışa aktarım başladı.", + "partial": "{{total}} üzerinden {{successful}} dışa aktarıldı. Başarısız: {{failedItems}}", + "failed": "{{total}} Adet dışa aktarım başarısız oldu. Başarısız: {{failedItems}}" + } } }, "streaming": { diff --git a/web/public/locales/tr/components/player.json b/web/public/locales/tr/components/player.json index 6a7950369e..9530944695 100644 --- a/web/public/locales/tr/components/player.json +++ b/web/public/locales/tr/components/player.json @@ -46,6 +46,7 @@ "livePlayerRequiredIOSVersion": "Bu canlı yayın türü için iOS 17.1 veya daha yeni sürüm gereklidir.", "submitFrigatePlus": { "title": "Bu kare Frigate+'ya gönderilsin mi?", - "submit": "Gönder" + "submit": "Gönder", + "previewError": "Önizleme şuan aktif edilemiyor. Kayıt şuan mevcut olmayabilir." } } diff --git a/web/public/locales/tr/config/cameras.json b/web/public/locales/tr/config/cameras.json index 7bc693e879..9ee3e04425 100644 --- a/web/public/locales/tr/config/cameras.json +++ b/web/public/locales/tr/config/cameras.json @@ -1,5 +1,18 @@ { "name": { - "label": "Kamera ismi" - } + "label": "Kamera adı", + "description": "Kamera adı gereklidir" + }, + "friendly_name": { + "label": "Kolay ad", + "description": "Frigate arayüzünde kullanılacak kolay ad" + }, + "enabled": { + "label": "Etkin", + "description": "Etkin" + }, + "audio": { + "label": "Ses olayları" + }, + "label": "Kamera Konfigürasyonu" } diff --git a/web/public/locales/tr/config/global.json b/web/public/locales/tr/config/global.json index 4b4308cb3c..e86122ead5 100644 --- a/web/public/locales/tr/config/global.json +++ b/web/public/locales/tr/config/global.json @@ -1,8 +1,19 @@ { "safe_mode": { - "label": "Güvenli mod" + "label": "Güvenli mod", + "description": "Etkinleştirildiğinde, Firagate'i sorun girderme için kısıtlı özelliklere sahip güvenli modda başlat." }, "environment_vars": { "label": "Ortam değişkenleri" + }, + "audio": { + "label": "Ses olayları" + }, + "version": { + "label": "Mevcut konfigürasyon versiyonu", + "description": "Taşıma veya biçimlendirme değişikliklerini tespit etmeye yardımcı olmak için etkin konfigürasyonun sayısal veya metin tabanlı sürümü." + }, + "logger": { + "label": "Kayıt" } } diff --git a/web/public/locales/tr/config/groups.json b/web/public/locales/tr/config/groups.json index 0967ef424b..c6e643d6b0 100644 --- a/web/public/locales/tr/config/groups.json +++ b/web/public/locales/tr/config/groups.json @@ -1 +1,71 @@ -{} +{ + "audio": { + "global": { + "detection": "Genel Tespit", + "sensitivity": "Genel Hassasiyet" + }, + "cameras": { + "detection": "Tespit", + "sensitivity": "Hassasiyet" + } + }, + "timestamp_style": { + "global": { + "appearance": "Genel Görünüm" + }, + "cameras": { + "appearance": "Görünüm" + } + }, + "detect": { + "cameras": { + "resolution": "Çözünürlük", + "tracking": "Takip" + }, + "global": { + "resolution": "Genel Çözünürlük", + "tracking": "Genel Takip" + } + }, + "objects": { + "global": { + "tracking": "Genel Takip", + "filtering": "Genel Filtreleme" + }, + "cameras": { + "tracking": "Takip", + "filtering": "Filtreleme" + } + }, + "record": { + "global": { + "events": "Genel Etkinlikler" + }, + "cameras": { + "events": "Etkinlikler" + } + }, + "ffmpeg": { + "cameras": { + "cameraFfmpeg": "Kamera özel FFmpeg argümanları" + } + }, + "motion": { + "global": { + "sensitivity": "Genel Hassasiyet", + "algorithm": "Genel Algoritma" + }, + "cameras": { + "sensitivity": "Hassasiyet", + "algorithm": "Algoritma" + } + }, + "snapshots": { + "global": { + "display": "Genel Görüntü" + }, + "cameras": { + "display": "Görüntü" + } + } +} diff --git a/web/public/locales/tr/config/validation.json b/web/public/locales/tr/config/validation.json index 73b68c5150..aaac6f566a 100644 --- a/web/public/locales/tr/config/validation.json +++ b/web/public/locales/tr/config/validation.json @@ -2,5 +2,7 @@ "minimum": "En az {{limit}} olmalı", "maximum": "En fazla {{limit}} olmalı", "exclusiveMinimum": "{{limit}}’den büyük olmalı", - "exclusiveMaximum": "{{limit}}’den küçük olmalı" + "exclusiveMaximum": "{{limit}}’den küçük olmalı", + "minLength": "En az {{limit}} karakter olmalı", + "maxLength": "En fazla {{limit}} karakter olmalı" } diff --git a/web/public/locales/tr/views/chat.json b/web/public/locales/tr/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/tr/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/tr/views/exports.json b/web/public/locales/tr/views/exports.json index 0c8fec129f..d6ee3ebfe2 100644 --- a/web/public/locales/tr/views/exports.json +++ b/web/public/locales/tr/views/exports.json @@ -1,7 +1,9 @@ { "search": "Arama", "documentTitle": "Dışa Aktar - Frigate", - "deleteExport": "Dışa Aktarımı Sil", + "deleteExport": { + "label": "Dışa Aktarımı Sil" + }, "deleteExport.desc": "{{exportName}} adlı dışa aktarımı silmek istediğinize emin misiniz?", "editExport": { "saveExport": "Dışa Aktarımı Kaydet", @@ -19,5 +21,9 @@ "downloadVideo": "Videoyu İndir", "editName": "İsmi Düzenle", "deleteExport": "Dışa Aktarmayı Sil" + }, + "headings": { + "uncategorizedExports": "Kategorize Edilmemiş Dışa Aktarım", + "cases": "Durumlar" } } diff --git a/web/public/locales/tr/views/motionSearch.json b/web/public/locales/tr/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/tr/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/tr/views/replay.json b/web/public/locales/tr/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/tr/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/tr/views/settings.json b/web/public/locales/tr/views/settings.json index 3d419144f1..72cc56ef85 100644 --- a/web/public/locales/tr/views/settings.json +++ b/web/public/locales/tr/views/settings.json @@ -28,7 +28,8 @@ "triggers": "Tetikler", "cameraManagement": "Yönetim", "cameraReview": "İncele", - "roles": "Roller" + "roles": "Roller", + "profiles": "Profiller" }, "general": { "title": "Kullanıcı Arayüzü Ayarları", diff --git a/web/public/locales/uk/config/cameras.json b/web/public/locales/uk/config/cameras.json index 0967ef424b..c0be2e59ac 100644 --- a/web/public/locales/uk/config/cameras.json +++ b/web/public/locales/uk/config/cameras.json @@ -1 +1,15 @@ -{} +{ + "name": { + "label": "Назва камери", + "description": "Потрібно вказати назву камери" + }, + "label": "Конфігурація камери", + "friendly_name": { + "label": "Зрозуміле ім'я", + "description": "Зручна назва камери, що використовується в інтерфейсі Frigate" + }, + "enabled": { + "label": "Увімкнено", + "description": "Увімкнено" + } +} diff --git a/web/public/locales/uk/views/chat.json b/web/public/locales/uk/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/uk/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/uk/views/motionSearch.json b/web/public/locales/uk/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/uk/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/uk/views/replay.json b/web/public/locales/uk/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/uk/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ur/audio.json b/web/public/locales/ur/audio.json index b6b532255a..6d7904e2b7 100644 --- a/web/public/locales/ur/audio.json +++ b/web/public/locales/ur/audio.json @@ -34,5 +34,20 @@ "train": "ٹرین", "bicycle": "سائیکل", "crying": "رونا", - "sigh": "آہیں" + "sigh": "آہیں", + "choir": "کوئر", + "yodeling": "یوڈیلنگ", + "chant": "نعرہ لگانا", + "mantra": "منتر", + "child_singing": "چائلڈ گانا", + "synthetic_singing": "مصنوعی گانا", + "rapping": "ریپنگ", + "humming": "گنگنانا", + "groan": "کراہنا", + "grunt": "گرنٹ", + "whistling": "سیٹی بجانا", + "breathing": "سانس لینا", + "gasp": "ہانپنا", + "pant": "ہانپنا", + "snort": "خراٹے" } diff --git a/web/public/locales/ur/components/auth.json b/web/public/locales/ur/components/auth.json index e7625b65c5..ab19b2e150 100644 --- a/web/public/locales/ur/components/auth.json +++ b/web/public/locales/ur/components/auth.json @@ -1,6 +1,6 @@ { "form": { - "user": "صارف نام", + "user": "اکاؤنٹ کا نام", "password": "پاسورڈ", "login": "لاگ ان", "errors": { diff --git a/web/public/locales/ur/config/cameras.json b/web/public/locales/ur/config/cameras.json index 0967ef424b..23c240d85a 100644 --- a/web/public/locales/ur/config/cameras.json +++ b/web/public/locales/ur/config/cameras.json @@ -1 +1,3 @@ -{} +{ + "label": "کیمرے کی ترتیب" +} diff --git a/web/public/locales/ur/config/global.json b/web/public/locales/ur/config/global.json index 0967ef424b..805c0d3b7d 100644 --- a/web/public/locales/ur/config/global.json +++ b/web/public/locales/ur/config/global.json @@ -1 +1,5 @@ -{} +{ + "version": { + "label": "موجودہ کنفیگریشن ورژن" + } +} diff --git a/web/public/locales/ur/config/groups.json b/web/public/locales/ur/config/groups.json index 0967ef424b..13c20a36ec 100644 --- a/web/public/locales/ur/config/groups.json +++ b/web/public/locales/ur/config/groups.json @@ -1 +1,7 @@ -{} +{ + "audio": { + "global": { + "detection": "عالمی کھوج" + } + } +} diff --git a/web/public/locales/ur/config/validation.json b/web/public/locales/ur/config/validation.json index 0967ef424b..b871b9f6ed 100644 --- a/web/public/locales/ur/config/validation.json +++ b/web/public/locales/ur/config/validation.json @@ -1 +1,3 @@ -{} +{ + "minimum": "کم از کم {{limit}} ہونا چاہیے" +} diff --git a/web/public/locales/ur/views/chat.json b/web/public/locales/ur/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ur/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ur/views/classificationModel.json b/web/public/locales/ur/views/classificationModel.json index 0967ef424b..7893f7d013 100644 --- a/web/public/locales/ur/views/classificationModel.json +++ b/web/public/locales/ur/views/classificationModel.json @@ -1 +1,3 @@ -{} +{ + "documentTitle": "درجہ بندی کے ماڈلز - فریگیٹ" +} diff --git a/web/public/locales/ur/views/faceLibrary.json b/web/public/locales/ur/views/faceLibrary.json index cfb7dce625..9185231539 100644 --- a/web/public/locales/ur/views/faceLibrary.json +++ b/web/public/locales/ur/views/faceLibrary.json @@ -1,6 +1,6 @@ { "description": { - "addFace": "فیس لائبریری میں نئی کلیکشن شامل کرنے کا طریقہ بتائیں۔", + "addFace": "اپنی پہلی تصویر اپ لوڈ کرکے فیس لائبریری میں ایک نیا کلیکشن شامل کریں۔", "placeholder": "اس مجموعہ کے لیے ایک نام درج کریں", "invalidName": "غلط نام۔ ناموں میں صرف حروف، اعداد، فاصلے، اپوسٹروف، انڈر اسکور، اور ہائفن شامل ہو سکتے ہیں۔" }, diff --git a/web/public/locales/ur/views/motionSearch.json b/web/public/locales/ur/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ur/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/ur/views/replay.json b/web/public/locales/ur/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/ur/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/uz/views/chat.json b/web/public/locales/uz/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/uz/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/uz/views/motionSearch.json b/web/public/locales/uz/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/uz/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/uz/views/replay.json b/web/public/locales/uz/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/uz/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/vi/views/chat.json b/web/public/locales/vi/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/vi/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/vi/views/motionSearch.json b/web/public/locales/vi/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/vi/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/vi/views/replay.json b/web/public/locales/vi/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/vi/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/yue-Hant/views/chat.json b/web/public/locales/yue-Hant/views/chat.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/yue-Hant/views/chat.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/yue-Hant/views/motionSearch.json b/web/public/locales/yue-Hant/views/motionSearch.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/yue-Hant/views/motionSearch.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/yue-Hant/views/replay.json b/web/public/locales/yue-Hant/views/replay.json new file mode 100644 index 0000000000..0967ef424b --- /dev/null +++ b/web/public/locales/yue-Hant/views/replay.json @@ -0,0 +1 @@ +{} diff --git a/web/public/locales/zh-CN/common.json b/web/public/locales/zh-CN/common.json index e9337cfc79..1fa683f441 100644 --- a/web/public/locales/zh-CN/common.json +++ b/web/public/locales/zh-CN/common.json @@ -221,7 +221,8 @@ "gl": "加利西亚语 (Galego)", "id": "印度尼西亚语 (Bahasa Indonesia)", "ur": "乌尔都语 (اردو)", - "hr": "克罗地亚语 (Hrvatski)" + "hr": "克罗地亚语 (Hrvatski)", + "bs": "波斯尼亚语（Bosanski）" }, "appearance": "外观", "darkMode": { @@ -273,7 +274,8 @@ "classification": "目标分类", "actions": "操作", "chat": "聊天", - "profiles": "配置模板" + "profiles": "配置模板", + "features": "功能" }, "toast": { "copyUrlToClipboard": "已复制链接到剪贴板。", @@ -290,7 +292,7 @@ "title": "权限组", "admin": "管理员", "viewer": "成员", - "desc": "管理员可以完全访问Frigate界面上所有功能。成员则仅能查看摄像头、核查项和历史录像。" + "desc": "管理员可以完全访问 Frigate 界面上所有功能。成员则仅能查看摄像头、核查项和历史录像。" }, "accessDenied": { "documentTitle": "没有权限 - Frigate", diff --git a/web/public/locales/zh-CN/components/dialog.json b/web/public/locales/zh-CN/components/dialog.json index d2013adcdb..1cab8c0f82 100644 --- a/web/public/locales/zh-CN/components/dialog.json +++ b/web/public/locales/zh-CN/components/dialog.json @@ -62,19 +62,64 @@ "toast": { "success": "导出成功。进入 导出 页面查看文件。", "error": { - "failed": "导出失败：{{error}}", + "failed": "未能加入导出队列：{{error}}", "endTimeMustAfterStartTime": "结束时间必须在开始时间之后", "noVaildTimeSelected": "未选择有效的时间范围" }, - "view": "查看" + "view": "查看", + "queued": "导出已加入队列。请在导出页面查看进度。", + "batchSuccess_other": "已开始 {{count}} 个导出，正在打开合集。", + "batchPartial": "已开始 {{total}} 个导出中的 {{successful}} 个。失败的摄像头：{{failedCameras}}", + "batchFailed": "启动导出失败（共 {{total}} 个）。失败的摄像头：{{failedCameras}}", + "batchQueuedSuccess_other": "已排队 {{count}} 个导出，正在打开合集。", + "batchQueuedPartial": "已将 {{total}} 个导出中的 {{successful}} 个加入队列。失败的摄像头：{{failedCameras}}", + "batchQueueFailed": "未能将 {{total}} 个导出加入队列。失败的摄像头：{{failedCameras}}" }, "fromTimeline": { "saveExport": "保存导出", - "previewExport": "预览导出" + "previewExport": "预览导出", + "queueingExport": "正在加入导出队列…", + "useThisRange": "使用此范围" }, "case": { "label": "合集", - "placeholder": "选择合集" + "placeholder": "选择合集", + "newCaseOption": "创建新合集", + "newCaseNamePlaceholder": "新合集名称", + "newCaseDescriptionPlaceholder": "合集描述", + "nonAdminHelp": "将为这些导出文件创建一个新的合集。" + }, + "queueing": "正在加入导出队列…", + "tabs": { + "export": "单个摄像头", + "multiCamera": "多个摄像头" + }, + "multiCamera": { + "timeRange": "时间范围", + "selectFromTimeline": "从时间线选择", + "cameraSelection": "摄像头", + "cameraSelectionHelp": "在此时间范围内具有追踪目标的摄像头会被预先选中", + "checkingActivity": "正在检查摄像头活动…", + "noCameras": "没有可用的摄像头", + "detectionCount_other": "{{count}} 个追踪目标", + "nameLabel": "导出名称", + "namePlaceholder": "这些导出文件的可选基础名称", + "queueingButton": "正在加入导出队列…", + "exportButton_other": "导出 {{count}} 个摄像头" + }, + "multi": { + "title_other": "导出 {{count}} 个核查", + "description": "导出每个选定的核查项。所有导出文件将归入同一个合集。", + "descriptionNoCase": "导出每个选定的核查项。", + "caseNamePlaceholder": "核查导出 - {{date}}", + "exportButton_other": "导出 {{count}} 个核查", + "exportingButton": "导出中…", + "toast": { + "started_other": "已开始 {{count}} 个导出。正在打开合集。", + "startedNoCase_other": "已开始 {{count}} 个导出。", + "partial": "已启动 {{total}} 个导出，其中 {{successful}} 个成功。失败项：{{failedItems}}", + "failed": "启动导出失败（共 {{total}} 个）。失败项：{{failedItems}}" + } } }, "streaming": { @@ -122,6 +167,14 @@ "markAsReviewed": "标记为已核查", "deleteNow": "立即删除", "markAsUnreviewed": "标记为未核查" + }, + "shareTimestamp": { + "label": "分享该时间片段", + "title": "分享该时间片段", + "description": "分享带当前录制的播放时间的地址，或选择自定义时间。请注意，这不是公开的分享链接，只有具有 Frigate 和此摄像头访问权限的用户才能访问。", + "custom": "自定义时间", + "button": "分享时间片段地址", + "shareTitle": "Frigate 核查时间：{{camera}}" } }, "imagePicker": { diff --git a/web/public/locales/zh-CN/components/player.json b/web/public/locales/zh-CN/components/player.json index 0336c32a12..6cee6952be 100644 --- a/web/public/locales/zh-CN/components/player.json +++ b/web/public/locales/zh-CN/components/player.json @@ -4,7 +4,8 @@ "noPreviewFoundFor": "没有在 {{cameraName}} 下找到预览", "submitFrigatePlus": { "title": "提交此帧到 Frigate+？", - "submit": "提交" + "submit": "提交", + "previewError": "无法加载快照预览。该录制当前可能不可用。" }, "livePlayerRequiredIOSVersion": "此直播流类型需要 iOS 17.1 或更高版本。", "streamOffline": { diff --git a/web/public/locales/zh-CN/config/cameras.json b/web/public/locales/zh-CN/config/cameras.json index aa627f5494..73e4fecde7 100644 --- a/web/public/locales/zh-CN/config/cameras.json +++ b/web/public/locales/zh-CN/config/cameras.json @@ -13,7 +13,7 @@ "description": "开启" }, "audio": { - "label": "音频事件", + "label": "音频检测", "description": "此摄像头的音频事件检测设置。", "enabled": { "label": "开启音频检测", @@ -37,7 +37,11 @@ }, "filters": { "label": "音频过滤器", - "description": "按音频类型的过滤器设置，如用于减少误报的置信度阈值。" + "description": "按音频类型的过滤器设置，如用于减少误报的置信度阈值。", + "threshold": { + "label": "最低音频置信度", + "description": "设置音频事件所需的最低置信度阈值。" + } }, "enabled_in_config": { "label": "原始音频状态", @@ -68,7 +72,7 @@ }, "mode": { "label": "追踪模式", - "description": "在鸟瞰视图中包含摄像头的模式：'objects'（目标）、'motion'（动作）或 'continuous'（持续）。" + "description": "在鸟瞰视图中包含摄像头的模式有：“基于目标”、“基于画面变动”或“连续”。" }, "order": { "label": "排序位置", @@ -127,7 +131,7 @@ }, "classifier": { "label": "开启视觉分类器", - "description": "使用视觉分类器，即使检测框有轻微抖动，也能准确判断物体是真的静止。" + "description": "使用视觉分类器，即使检测框有轻微抖动，也能准确判断物体是否为静止。" } }, "annotation_offset": { @@ -268,20 +272,20 @@ "description": "为此摄像头启用和控制通知的设置。" }, "live": { - "label": "实时回放", + "label": "实时监控观看", "streams": { "label": "实时监控流名称", "description": "配置的流名称到用于实时监控播放的 restream/go2rtc 名称的映射。" }, "height": { "label": "实时监控高度", - "description": "在 Web UI 中渲染 jsmpeg 实时监控流的高度（像素）；必须小于等于检测流高度。" + "description": "在网页页面中渲染 jsmpeg 实时监控流的高度（像素）；必须小于等于检测流高度。" }, "quality": { "label": "实时监控质量", "description": "jsmpeg 流的编码质量（1 最高，31 最低）。" }, - "description": "用于控制实时流选择、分辨率和质量的 Web UI 设置。" + "description": "用于控制实时流选择、分辨率和质量的网页页面设置。" }, "motion": { "label": "画面变动检测", @@ -388,51 +392,51 @@ "label": "原始遮罩" }, "genai": { - "label": "GenAI 目标配置", - "description": "用于描述追踪目标和发送帧进行生成的 GenAI 选项。", + "label": "生成式 AI 目标配置", + "description": "用于发送画面给生成式 AI 进行生成和描述追踪目标的选项。", "enabled": { - "label": "开启 GenAI", - "description": "默认启用 GenAI 生成追踪目标的描述。" + "label": "开启生成式 AI", + "description": "默认开启生成式 AI 生成追踪目标的描述。" }, "use_snapshot": { "label": "使用快照", - "description": "使用目标快照而不是缩略图进行 GenAI 描述生成。" + "description": "使用目标快照而不是缩略图给生成式 AI 进行描述生成。" }, "prompt": { "label": "字幕提示", - "description": "使用 GenAI 生成描述时使用的默认提示模板。" + "description": "使用生成式 AI 生成描述时使用的默认提示模板。" }, "object_prompts": { "label": "目标提示", - "description": "用于自定义特定标签的 GenAI 输出的按目标提示。" + "description": "按目标设置提示词，让生成式 AI 对不同标签的输出进行定制。" }, "objects": { - "label": "GenAI 目标", - "description": "默认发送给 GenAI 的目标标签列表。" + "label": "生成式 AI 目标", + "description": "默认发送给生成式 AI 的目标标签列表。" }, "required_zones": { "label": "必需区域", - "description": "目标必须进入才能符合 GenAI 描述生成条件的区域。" + "description": "目标必须进入这些区域，才会触发生成式 AI 描述生成。" }, "debug_save_thumbnails": { "label": "保存缩略图", - "description": "保存发送给 GenAI 的缩略图用于调试和核查。" + "description": "保存发送给生成式 AI 的缩略图用于调试和核查。" }, "send_triggers": { - "label": "GenAI 触发器", - "description": "定义何时应将帧发送给 GenAI（结束时、更新后等）。", + "label": "生成式 AI 触发器", + "description": "定义画面帧应在何时发送给生成式 AI（如检测结束时、更新后等）。", "tracked_object_end": { "label": "结束时发送", - "description": "当追踪目标结束时向 GenAI 发送请求。" + "description": "目标追踪结束时向生成式 AI 发送请求。" }, "after_significant_updates": { - "label": "早期 GenAI 触发器", - "description": "在追踪目标进行指定次数的重大更新后向 GenAI 发送请求。" + "label": "生成式 AI 提前触发", + "description": "在追踪目标发生指定次数的重要变化后，向生成式 AI 发送请求。" } }, "enabled_in_config": { - "label": "原始 GenAI 状态", - "description": "指示原始静态配置中是否启用了 GenAI。" + "label": "原配置生成式 AI 状态", + "description": "表示在原始静态配置中是否已启用生成式 AI。" } } }, @@ -516,11 +520,15 @@ "hwaccel_args": { "label": "导出硬件加速参数", "description": "用于导出/转码操作的硬件加速参数。" + }, + "max_concurrent": { + "label": "最大并发导出数", + "description": "同时可处理的最大导出任务数量。" } }, "preview": { "label": "预览配置", - "description": "控制 UI 中显示的录像预览质量的设置。", + "description": "控制界面中显示的录像预览质量的设置。", "quality": { "label": "预览质量", "description": "预览质量级别（very_low、low、medium、high、very_high）。" @@ -583,46 +591,46 @@ } }, "genai": { - "label": "GenAI 配置", + "label": "生成式 AI 配置", "description": "控制使用生成式 AI 为核查项生成描述和摘要。", "enabled": { - "label": "开启 GenAI 描述", - "description": "为核查项启用或禁用 GenAI 生成的描述和摘要。" + "label": "开启生成式 AI 描述", + "description": "为核查项开启或关闭使用生成式 AI 生成描述和摘要。" }, "alerts": { - "label": "为警报开启 GenAI", - "description": "使用 GenAI 为警报项生成描述。" + "label": "为警报开启生成式 AI", + "description": "使用生成式 AI 为警报项生成描述。" }, "detections": { - "label": "为检测开启 GenAI", - "description": "使用 GenAI 为检测项生成描述。" + "label": "为检测开启生成式 AI", + "description": "使用生成式 AI 为检测项生成描述。" }, "image_source": { "label": "核查图像来源", - "description": "发送给 GenAI 的图像来源（'preview' 或 'recordings'）；'recordings' 使用更高质量的帧但消耗更多 token。" + "description": "发送给生成式 AI 的画面来源（“预览” 或 “录制”）；“录制”将使用更高质量的画面帧，但会消耗更多的 token。" }, "additional_concerns": { "label": "额外关注事项", - "description": "GenAI 在评估此摄像头活动时应考虑的额外关注事项或备注列表。" + "description": "生成式 AI 在分析此摄像头的监控行为时，需要额外注意的事项或说明列表。" }, "debug_save_thumbnails": { "label": "保存缩略图", - "description": "保存发送给 GenAI 提供商的缩略图用于调试和核查。" + "description": "保存发送给生成式 AI 提供商的缩略图用于调试和核查。" }, "enabled_in_config": { - "label": "原始 GenAI 状态", - "description": "追踪原始静态配置中是否启用了 GenAI 核查。" + "label": "原配置生成式 AI 状态", + "description": "记录在静态配置中最初是否已启用生成式 AI 核查功能。" }, "preferred_language": { "label": "首选语言", - "description": "向 GenAI 提供商请求生成响应的首选语言。" + "description": "向生成式 AI 提供商请求生成响应的首选语言。" }, "activity_context_prompt": { "label": "活动上下文提示", - "description": "描述什么是和什么不是可疑活动的自定义提示，为 GenAI 摘要提供上下文。" + "description": "自定义提示词，用于说明可疑行为与非可疑行为的界定，为生成式 AI 生成摘要提供上下文依据。" } }, - "description": "控制此摄像头的警报、检测和 GenAI 核查摘要的设置，用于 UI 和存储。" + "description": "控制此摄像头的警报、检测和生成式 AI 核查总结的设置，这些设置会被界面与存储功能使用。" }, "snapshots": { "label": "快照", @@ -719,7 +727,7 @@ "description": "摄像头特定语义搜索触发器的操作和匹配条件。", "friendly_name": { "label": "友好名称", - "description": "在 UI 中为此触发器显示的可选友好名称。" + "description": "可选友好名称，用于在界面上为触发器显示此名称。" }, "enabled": { "label": "开启此触发器", @@ -841,15 +849,15 @@ } }, "ui": { - "label": "摄像头 UI", - "description": "此摄像头在 UI 中的显示顺序和可见性。顺序影响默认仪表板。如需更精细的控制，请使用摄像头组。", + "label": "摄像头页面", + "description": "此摄像头在页面中的显示顺序和可见性。显示顺序仅影响默认仪表板。如需更精细的控制，请使用“摄像头组”。", "order": { "label": "UI 顺序", - "description": "用于在 UI 中排序摄像头的数值顺序（默认仪表板和列表）；数值越大出现越晚。" + "description": "用于在页面中排序摄像头的顺序（只会影响默认仪表板和列表）；数值越大则在越后面。" }, "dashboard": { - "label": "在 UI 中显示", - "description": "切换此摄像头在 Frigate UI 的所有位置是否可见。禁用此项将需要手动编辑配置才能在 UI 中再次查看此摄像头。" + "label": "在页面中显示", + "description": "切换此摄像头在 Frigate 页面的所有位置是否可见。禁用此项将需要手动编辑配置才能在页面中再次查看此摄像头。" } }, "best_image_timeout": { @@ -862,14 +870,14 @@ }, "webui_url": { "label": "摄像头 URL", - "description": "从系统页面直接访问摄像头的 URL" + "description": "从系统页面直接访问摄像头管理后台的 URL" }, "zones": { "label": "区域", "description": "区域允许您定义帧的特定区域，以便确定目标是否在特定区域内。", "friendly_name": { "label": "区域名称", - "description": "区域的友好名称，显示在 Frigate UI 中。如果未设置，将使用区域名称的格式化版本。" + "description": "区域的友好名称，显示在 Frigate 页面中。如果未设置，将使用区域名称的格式化版本。" }, "enabled": { "label": "开启", diff --git a/web/public/locales/zh-CN/config/global.json b/web/public/locales/zh-CN/config/global.json index b14f4acbf1..ddfeb01be1 100644 --- a/web/public/locales/zh-CN/config/global.json +++ b/web/public/locales/zh-CN/config/global.json @@ -24,7 +24,7 @@ } }, "audio": { - "label": "音频事件", + "label": "音频检测", "enabled": { "label": "开启音频检测", "description": "为所有摄像头启用或禁用音频事件检测；可按摄像头覆盖。" @@ -48,7 +48,11 @@ }, "filters": { "label": "音频过滤器", - "description": "按音频类型的过滤器设置，如用于减少误报的置信度阈值。" + "description": "按音频类型的过滤器设置，如用于减少误报的置信度阈值。", + "threshold": { + "label": "最低音频置信度", + "description": "设置音频事件所需的最低置信度阈值。" + } }, "enabled_in_config": { "label": "原始音频状态", @@ -136,7 +140,7 @@ }, "mode": { "label": "追踪模式", - "description": "在鸟瞰视图中包含摄像头的模式：'objects'（目标）、'motion'（动作）或 'continuous'（持续）。" + "description": "在鸟瞰视图中包含摄像头的模式有：“基于目标”、“基于画面变动”或“连续”。" }, "order": { "label": "排序位置", @@ -231,7 +235,7 @@ }, "classifier": { "label": "开启视觉分类器", - "description": "使用视觉分类器，即使检测框有轻微抖动，也能准确判断物体是真的静止。" + "description": "使用视觉分类器，即使检测框有轻微抖动，也能准确判断物体是否为静止。" } }, "annotation_offset": { @@ -252,7 +256,7 @@ "description": "所有摄像头的人脸检测和识别设置；可按摄像头覆盖。", "model_size": { "label": "模型大小", - "description": "用于人脸嵌入的模型大小（small/large）；较大的可能需要 GPU。" + "description": "用于人脸嵌入的模型大小（小型/大型）；较大的可能需要 GPU。" }, "unknown_score": { "label": "未知分数阈值", @@ -522,8 +526,8 @@ "description": "为摄像头 ffmpeg 进程和检测器启用按进程网络带宽监控（需要权限）。" }, "intel_gpu_device": { - "label": "SR-IOV 设备", - "description": "将 Intel GPU 视为 SR-IOV 时使用的设备标识符，用于修复 GPU 统计信息。" + "label": "Intel GPU 设备", + "description": "当系统存在多个 Intel 显卡时，用于将显卡运行数据绑定到指定设备的 PCI 总线地址或 DRM 设备路径（示例：/dev/dri/card1）。" } }, "version_check": { @@ -536,7 +540,7 @@ "description": "Frigate Web 端点（端口 8971）的 TLS 设置。", "enabled": { "label": "开启 TLS", - "description": "为 Frigate 的 Web 页面和 API 的端口开启 TLS 加密。" + "description": "为 Frigate 的网页页面和 API 的端口开启 TLS 加密。" } }, "ui": { @@ -544,19 +548,19 @@ "description": "用户界面偏好设置，如时区、时间/日期格式和单位。", "timezone": { "label": "时区", - "description": "UI 中显示的可选时区（如果未设置，则默认为浏览器本地时间）。" + "description": "可选时区，用于整个界面展示时间（如果未设置，则默认为浏览器本地时间的时区）。" }, "time_format": { "label": "时间格式", - "description": "UI 中使用的时间格式（browser、12hour 或 24hour）。" + "description": "页面中将使用的时间格式（浏览器、12小时制 或 24小时制）。" }, "date_style": { "label": "日期样式", - "description": "UI 中使用的日期样式（full、long、medium、short）。" + "description": "页面中将使用的日期样式（完整、长、中等、短）。" }, "time_style": { "label": "时间样式", - "description": "UI 中使用的时间样式（full、long、medium、short）。" + "description": "页面中将使用的时间样式（完整、长、中等、短）。" }, "unit_system": { "label": "单位系统", @@ -1470,15 +1474,15 @@ }, "provider": { "label": "提供商", - "description": "要使用的 GenAI 提供商（例如：ollama、gemini、openai）。" + "description": "要使用的生成式 AI 提供商（例如：ollama、gemini、openai 等。国产大模型厂商可使用 openai 接口）。" }, "roles": { "label": "功能", - "description": "生成式 AI 功能（工具、视觉、嵌入）；每个功能单独一个提供商。" + "description": "生成式 AI 功能（对话、描述、嵌入）；每个功能单独一个提供商。" }, "provider_options": { "label": "提供商选项", - "description": "传递给 GenAI 客户端的附加提供商特定选项。" + "description": "要传递给生成式 AI 客户端的、与服务提供商相关的额外配置项。" }, "runtime_options": { "label": "运行时选项", @@ -1486,7 +1490,7 @@ } }, "live": { - "label": "实时回放", + "label": "实时监控观看", "description": "用于控制 JSMPEG 实时流分辨率与画质的设置。此设置不影响使用 go2rtc 进行实时预览的摄像头。", "streams": { "label": "实时监控流名称", @@ -1494,7 +1498,7 @@ }, "height": { "label": "实时监控高度", - "description": "在 Web UI 中渲染 jsmpeg 实时监控流的高度（像素）；必须小于等于检测流高度。" + "description": "在网页页面中渲染 jsmpeg 实时监控流的高度（像素）；必须小于等于检测流高度。" }, "quality": { "label": "实时监控质量", @@ -1606,51 +1610,51 @@ "label": "原始遮罩" }, "genai": { - "label": "GenAI 目标配置", - "description": "用于描述追踪目标和发送帧进行生成的 GenAI 选项。", + "label": "生成式 AI 目标配置", + "description": "用于发送画面给生成式 AI 进行生成和描述追踪目标的选项。", "enabled": { - "label": "开启 GenAI", - "description": "默认启用 GenAI 生成追踪目标的描述。" + "label": "开启生成式 AI", + "description": "默认开启生成式 AI 生成追踪目标的描述。" }, "use_snapshot": { "label": "使用快照", - "description": "使用目标快照而不是缩略图进行 GenAI 描述生成。" + "description": "使用目标快照而不是缩略图给生成式 AI 进行描述生成。" }, "prompt": { "label": "字幕提示", - "description": "使用 GenAI 生成描述时使用的默认提示模板。" + "description": "使用生成式 AI 生成描述时使用的默认提示模板。" }, "object_prompts": { "label": "目标提示", - "description": "用于自定义特定标签的 GenAI 输出的按目标提示。" + "description": "按目标设置提示词，让生成式 AI 对不同标签的输出进行定制。" }, "objects": { - "label": "GenAI 目标", - "description": "默认发送给 GenAI 的目标标签列表。" + "label": "生成式 AI 目标", + "description": "默认发送给生成式 AI 的目标标签列表。" }, "required_zones": { "label": "必需区域", - "description": "目标必须进入才能符合 GenAI 描述生成条件的区域。" + "description": "目标必须进入这些区域，才会触发生成式 AI 描述生成。" }, "debug_save_thumbnails": { "label": "保存缩略图", - "description": "保存发送给 GenAI 的缩略图用于调试和核查。" + "description": "保存发送给生成式 AI 的缩略图用于调试和核查。" }, "send_triggers": { - "label": "GenAI 触发器", - "description": "定义何时应将帧发送给 GenAI（结束时、更新后等）。", + "label": "生成式 AI 触发器", + "description": "定义画面帧应在何时发送给生成式 AI（如检测结束时、更新后等）。", "tracked_object_end": { "label": "结束时发送", - "description": "当追踪目标结束时向 GenAI 发送请求。" + "description": "目标追踪结束时向生成式 AI 发送请求。" }, "after_significant_updates": { - "label": "早期 GenAI 触发器", - "description": "在追踪目标进行指定次数的重大更新后向 GenAI 发送请求。" + "label": "生成式 AI 提前触发", + "description": "在追踪目标发生指定次数的重要变化后，向生成式 AI 发送请求。" } }, "enabled_in_config": { - "label": "原始 GenAI 状态", - "description": "指示原始静态配置中是否启用了 GenAI。" + "label": "原配置生成式 AI 状态", + "description": "表示在原始静态配置中是否已启用生成式 AI。" } } }, @@ -1735,11 +1739,15 @@ "hwaccel_args": { "label": "导出硬件加速参数", "description": "用于导出/转码操作的硬件加速参数。" + }, + "max_concurrent": { + "label": "最大并发导出数", + "description": "同时可处理的最大导出任务数量。" } }, "preview": { "label": "预览配置", - "description": "控制 UI 中显示的录像预览质量的设置。", + "description": "控制界面中显示的录像预览质量的设置。", "quality": { "label": "预览质量", "description": "预览质量级别（very_low、low、medium、high、very_high）。" @@ -1752,7 +1760,7 @@ }, "review": { "label": "核查", - "description": "控制 UI 和存储使用的警报、检测和 GenAI 核查摘要的设置。", + "description": "控制界面与存储所使用的警报、检测和生成式 AI 核查总结的相关设置。", "alerts": { "label": "警报配置", "description": "哪些追踪目标生成警报以及如何保留警报的设置。", @@ -1802,43 +1810,43 @@ } }, "genai": { - "label": "GenAI 配置", + "label": "生成式 AI 配置", "description": "控制使用生成式 AI 为核查项生成描述和摘要。", "enabled": { - "label": "开启 GenAI 描述", - "description": "为核查项启用或禁用 GenAI 生成的描述和摘要。" + "label": "开启生成式 AI 描述", + "description": "为核查项开启或关闭使用生成式 AI 生成描述和摘要。" }, "alerts": { - "label": "为警报开启 GenAI", - "description": "使用 GenAI 为警报项生成描述。" + "label": "为警报开启生成式 AI", + "description": "使用生成式 AI 为警报项生成描述。" }, "detections": { - "label": "为检测开启 GenAI", - "description": "使用 GenAI 为检测项生成描述。" + "label": "为检测开启生成式 AI", + "description": "使用生成式 AI 为检测项生成描述。" }, "image_source": { "label": "核查图像来源", - "description": "发送给 GenAI 的图像来源（'preview' 或 'recordings'）；'recordings' 使用更高质量的帧但消耗更多 token。" + "description": "发送给生成式 AI 的画面来源（“预览” 或 “录制”）；“录制”将使用更高质量的画面帧，但会消耗更多的 token。" }, "additional_concerns": { "label": "额外关注事项", - "description": "GenAI 在评估此摄像头活动时应考虑的额外关注事项或备注列表。" + "description": "生成式 AI 在分析此摄像头的监控行为时，需要额外注意的事项或说明列表。" }, "debug_save_thumbnails": { "label": "保存缩略图", - "description": "保存发送给 GenAI 提供商的缩略图用于调试和核查。" + "description": "保存发送给生成式 AI 提供商的缩略图用于调试和核查。" }, "enabled_in_config": { - "label": "原始 GenAI 状态", - "description": "追踪原始静态配置中是否启用了 GenAI 核查。" + "label": "原配置生成式 AI 状态", + "description": "记录在静态配置中最初是否已启用生成式 AI 核查功能。" }, "preferred_language": { "label": "首选语言", - "description": "向 GenAI 提供商请求生成响应的首选语言。" + "description": "向生成式 AI 提供商请求生成响应的首选语言。" }, "activity_context_prompt": { "label": "活动上下文提示", - "description": "描述什么是和什么不是可疑活动的自定义提示，为 GenAI 摘要提供上下文。" + "description": "自定义提示词，用于说明可疑行为与非可疑行为的界定，为生成式 AI 生成摘要提供上下文依据。" } } }, @@ -2011,7 +2019,7 @@ }, "model_size": { "label": "模型大小", - "description": "选择模型大小；'small' 在 CPU 上运行，'large' 通常需要 GPU。" + "description": "选择模型大小；“小型”模型一般在 CPU 上运行，而“大型”模型通常需要 GPU。" }, "device": { "label": "设备", @@ -2022,7 +2030,7 @@ "description": "摄像头特定语义搜索触发器的操作和匹配条件。", "friendly_name": { "label": "友好名称", - "description": "在 UI 中为此触发器显示的可选友好名称。" + "description": "可选友好名称，用于在界面上为触发器显示此名称。" }, "enabled": { "label": "开启此触发器", @@ -2055,7 +2063,7 @@ }, "model_size": { "label": "模型大小", - "description": "用于文本检测/识别的模型大小，大多数用户应使用 'small'，只有'small'模型支持中文。" + "description": "用于文本检测/识别的模型大小，大多数用户应使用“小型”模型，而且只有“小型”模型支持中文车牌。" }, "detection_threshold": { "label": "检测阈值", @@ -2114,18 +2122,18 @@ }, "camera_groups": { "label": "摄像头分组", - "description": "用于在 UI 中组织摄像头的命名摄像头分组配置。", + "description": "用于在页面中组织摄像头的命名摄像头分组配置。", "cameras": { "label": "摄像头列表", "description": "此分组中包含的摄像头名称数组。" }, "icon": { "label": "分组图标", - "description": "在 UI 中代表摄像头分组的图标。" + "description": "在页面中代表摄像头分组的图标。" }, "order": { "label": "排序顺序", - "description": "用于在 UI 中对摄像头分组进行排序的数字顺序；数值越大越靠后。" + "description": "用于在页面中对摄像头分组进行排序的数字顺序；数值越大越靠后。" } }, "camera_mqtt": { @@ -2161,15 +2169,15 @@ } }, "camera_ui": { - "label": "摄像头 UI", - "description": "此摄像头在 UI 中的显示顺序和可见性。顺序影响默认仪表板。如需更精细的控制，请使用摄像头分组。", + "label": "摄像头页面", + "description": "此摄像头在页面中的显示顺序和可见性。显示顺序仅影响默认仪表板。如需更精细的控制，请使用“摄像头组”。", "order": { "label": "UI 顺序", - "description": "用于在 UI 中对摄像头进行排序的数字顺序（默认仪表板和列表）；数值越大越靠后。" + "description": "用于在页面中排序摄像头的顺序（只会影响默认仪表板和列表）；数值越大则在越后面。" }, "dashboard": { - "label": "在 UI 中显示", - "description": "切换此摄像头在 Frigate UI 中是否可见。禁用后需要手动编辑配置才能再次在 UI 中查看此摄像头。" + "label": "在页面中显示", + "description": "切换此摄像头在 Frigate 页面中是否可见。禁用后需要手动编辑配置才能再次在页面中查看此摄像头。" } }, "onvif": { diff --git a/web/public/locales/zh-CN/objects.json b/web/public/locales/zh-CN/objects.json index f8d07bc23b..59058f332d 100644 --- a/web/public/locales/zh-CN/objects.json +++ b/web/public/locales/zh-CN/objects.json @@ -121,5 +121,10 @@ "royal_mail": "英国皇家邮政", "school_bus": "校车", "skunk": "臭鼬", - "kangaroo": "袋鼠" + "kangaroo": "袋鼠", + "baby": "婴儿", + "baby_stroller": "婴儿车", + "rickshaw": "三轮车", + "Rodent": "啮齿动物", + "rodent": "鼠类动物" } diff --git a/web/public/locales/zh-CN/views/chat.json b/web/public/locales/zh-CN/views/chat.json new file mode 100644 index 0000000000..429dd56677 --- /dev/null +++ b/web/public/locales/zh-CN/views/chat.json @@ -0,0 +1,64 @@ +{ + "documentTitle": "聊天 - Frigate", + "title": "Frigate 聊天", + "subtitle": "你的摄像头管理与智能分析 AI 助手", + "placeholder": "尝试问我任何事儿…", + "error": "出现错误，请稍后重试。", + "processing": "进行中…", + "toolsUsed": "使用：{{tools}}", + "showTools": "显示工具（{{count}}）", + "hideTools": "隐藏工具", + "call": "调用", + "result": "结果", + "arguments": "参数：", + "response": "响应：", + "attachment_chip_label": "在 {{camera}} 的 {{label}}", + "attachment_chip_remove": "移除附件", + "open_in_explore": "从浏览中打开", + "attach_event_aria": "关联事件 {{eventId}}", + "attachment_picker_paste_label": "或粘贴事件 ID", + "attachment_picker_attach": "关联", + "attachment_picker_placeholder": "关联一个事件", + "quick_reply_find_similar": "查找相似抓拍事件", + "quick_reply_tell_me_more": "了解更多详情", + "quick_reply_when_else": "还在哪些时段出现过？", + "quick_reply_find_similar_text": "查找与此相似的抓拍记录。", + "quick_reply_tell_me_more_text": "了解此条更多详情。", + "starting_requests": { + "show_recent_events": "查看近期事件", + "show_camera_status": "显示摄像头状态", + "recap": "我不在的时候发生了什么？", + "watch_camera": "监控摄像头活动" + }, + "quick_reply_when_else_text": "还在哪些时间出现过？", + "anchor": "来源", + "similarity_score": "相似度", + "no_similar_objects_found": "未找到相似目标。", + "semantic_search_required": "必须启用语义搜索才能查找相似目标。", + "send": "发送", + "suggested_requests": "尝试问问：", + "starting_requests_prompts": { + "show_recent_events": "显示最近一小时的事件", + "show_camera_status": "我的摄像头当前状态如何？", + "recap": "我不在的时候发生了什么事？", + "watch_camera": "监控前门，有人出现就通知我" + }, + "new_chat": "新对话", + "settings": { + "title": "对话设置", + "show_stats": { + "title": "显示统计数据", + "desc": "显示对话回复的生成速率和上下文大小。", + "while_generating": "正在生成中", + "always": "始终" + }, + "auto_scroll": { + "title": "自动滚动", + "desc": "自动滚动到最新消息。" + } + }, + "stats": { + "context": "{{tokens}} 词元（tokens）", + "tokens_per_second": "{{rate}} 词元/秒" + } +} diff --git a/web/public/locales/zh-CN/views/events.json b/web/public/locales/zh-CN/views/events.json index f02a839076..6035051c8f 100644 --- a/web/public/locales/zh-CN/views/events.json +++ b/web/public/locales/zh-CN/views/events.json @@ -26,7 +26,9 @@ }, "documentTitle": "核查 - Frigate", "recordings": { - "documentTitle": "回放 - Frigate" + "documentTitle": "回放 - Frigate", + "invalidSharedLink": "由于解析错误，无法打开带时间戳的录制链接。", + "invalidSharedCamera": "由于摄像头未知或未获授权，无法打开带时间戳的录制链接。" }, "calendarFilter": { "last24Hours": "过去24小时" diff --git a/web/public/locales/zh-CN/views/explore.json b/web/public/locales/zh-CN/views/explore.json index db062d4556..b5860d18fb 100644 --- a/web/public/locales/zh-CN/views/explore.json +++ b/web/public/locales/zh-CN/views/explore.json @@ -285,7 +285,10 @@ "zones": "区", "ratio": "比例", "area": "大小", - "score": "分数" + "score": "分数", + "computedScore": "计算得分", + "topScore": "最高得分", + "toggleAdvancedScores": "切换高级分数" } }, "annotationSettings": { diff --git a/web/public/locales/zh-CN/views/exports.json b/web/public/locales/zh-CN/views/exports.json index b57b1a1c69..6eaed055cf 100644 --- a/web/public/locales/zh-CN/views/exports.json +++ b/web/public/locales/zh-CN/views/exports.json @@ -14,7 +14,9 @@ "toast": { "error": { "renameExportFailed": "重命名导出失败：{{errorMessage}}", - "assignCaseFailed": "更新合集分配失败：{{errorMessage}}" + "assignCaseFailed": "更新合集分配失败：{{errorMessage}}", + "caseSaveFailed": "保存合集失败：{{errorMessage}}", + "caseDeleteFailed": "删除合集失败：{{errorMessage}}" } }, "tooltip": { @@ -22,7 +24,8 @@ "downloadVideo": "下载视频", "editName": "编辑名称", "deleteExport": "删除导出", - "assignToCase": "加入合集" + "assignToCase": "加入合集", + "removeFromCase": "从合集中移除" }, "headings": { "uncategorizedExports": "未分类导出项", @@ -35,5 +38,91 @@ "selectLabel": "合集", "newCaseOption": "创建新合集", "descriptionLabel": "描述" + }, + "toolbar": { + "newCase": "新合集", + "addExport": "新导出", + "editCase": "编辑合集", + "deleteCase": "删除合集" + }, + "deleteCase": { + "label": "删除合集", + "desc": "你确定要删除 {{caseName}} 吗？", + "descKeepExports": "导出文件将继续保留为未分类导出。", + "descDeleteExports": "此合集中的所有导出项都将被永久删除。", + "deleteExports": "同时删除导出文件" + }, + "caseCard": { + "emptyCase": "暂无导出文件" + }, + "jobCard": { + "defaultName": "{{camera}} 导出", + "queued": "队列中", + "running": "运行中", + "preparing": "准备中", + "copying": "复制中", + "encoding": "编码中", + "encodingRetry": "重试编码中", + "finalizing": "正在完成" + }, + "caseView": { + "noDescription": "没有描述", + "createdAt": "已创建 {{value}}", + "exportCount_one": "1 个导出", + "exportCount_other": "{{count}} 个导出", + "cameraCount_one": "1 个摄像头", + "cameraCount_other": "{{count}} 个摄像头", + "showMore": "显示更多", + "showLess": "显示更少", + "emptyTitle": "该合集为空", + "emptyDescription": "将现有未分类的导出添加进来，以便整理该条目。", + "emptyDescriptionNoExports": "目前没有可添加的未分类导出项。" + }, + "caseEditor": { + "createTitle": "创建合集", + "editTitle": "编辑合集", + "namePlaceholder": "合集名称", + "descriptionPlaceholder": "为该合集添加备注或相关说明" + }, + "addExportDialog": { + "title": "将导出添加到 {{caseName}}", + "searchPlaceholder": "搜索未分类的导出项", + "empty": "未找到匹配的未分类导出。", + "addButton_one": "添加 1 个导出", + "addButton_other": "添加 {{count}} 个导出", + "adding": "添加中…" + }, + "selected_one": "已选择 {{count}} 个", + "selected_other": "已选择 {{count}} 个", + "bulkActions": { + "addToCase": "添加至合集", + "moveToCase": "移动至合集", + "removeFromCase": "从合集中移除", + "delete": "删除", + "deleteNow": "立即删除" + }, + "bulkDelete": { + "title": "删除导出", + "desc_one": "你确定要删除 {{count}} 个导出吗？", + "desc_other": "确定要删除 {{count}} 个导出吗？" + }, + "bulkRemoveFromCase": { + "title": "从合集中移除", + "desc_one": "你确定要从该合集中移除这 {{count}} 个导出吗？", + "desc_other": "你确定要从该合集中移除这 {{count}} 个导出吗？", + "descKeepExports": "导出将被移至未分类。", + "descDeleteExports": "导出将被永久删除。", + "deleteExports": "选择删除导出" + }, + "bulkToast": { + "success": { + "delete": "已删除导出", + "reassign": "已更新合集分配", + "remove": "已从合集中移除导出" + }, + "error": { + "deleteFailed": "删除导出失败：{{errorMessage}}", + "reassignFailed": "更新合集分配失败：{{errorMessage}}" + } } } diff --git a/web/public/locales/zh-CN/views/faceLibrary.json b/web/public/locales/zh-CN/views/faceLibrary.json index d383fb348a..59aedc9f1d 100644 --- a/web/public/locales/zh-CN/views/faceLibrary.json +++ b/web/public/locales/zh-CN/views/faceLibrary.json @@ -30,7 +30,11 @@ "title": "近期识别记录", "aria": "选择近期识别记录", "empty": "近期未检测到人脸识别操作", - "titleShort": "近期" + "titleShort": "近期", + "emptyNoLibrary": { + "title": "更新人脸", + "description": "你必须向库中添加至少一张人脸，人脸识别功能才能正常工作。" + } }, "selectItem": "选择 {{item}}", "selectFace": "选择人脸", diff --git a/web/public/locales/zh-CN/views/live.json b/web/public/locales/zh-CN/views/live.json index 10b8641d3f..53688c6dfa 100644 --- a/web/public/locales/zh-CN/views/live.json +++ b/web/public/locales/zh-CN/views/live.json @@ -70,7 +70,8 @@ }, "recording": { "enable": "开启录制", - "disable": "关闭录制" + "disable": "关闭录制", + "disabledInConfig": "必须先在该摄像头的设置中开启录制功能。" }, "snapshots": { "enable": "开启快照", diff --git a/web/public/locales/zh-CN/views/motionSearch.json b/web/public/locales/zh-CN/views/motionSearch.json new file mode 100644 index 0000000000..af8874daf1 --- /dev/null +++ b/web/public/locales/zh-CN/views/motionSearch.json @@ -0,0 +1,73 @@ +{ + "documentTitle": "变动搜索 - Frigate", + "title": "画面变动搜索", + "description": "绘制一个多边形以划定感兴趣区域，并指定时间范围，检索该区域内的异动变化。", + "selectCamera": "画面变动搜索正在加载中", + "startSearch": "开始搜索", + "searchStarted": "搜索已开始", + "searchCancelled": "搜索已取消", + "cancelSearch": "取消", + "searching": "搜索进行中。", + "searchComplete": "搜索完成", + "noResultsYet": "在所选区域内执行搜索，查找异常变化", + "noChangesFound": "所选区域未检测到像素变化", + "changesFound_other": "检测到 {{count}} 处画面变化", + "framesProcessed": "已处理 {{count}} 帧画面", + "jumpToTime": "跳转到该时间", + "results": "结果", + "showSegmentHeatmap": "热力图", + "newSearch": "新的搜索", + "clearResults": "清除结果", + "clearROI": "清除多边形选区", + "polygonControls": { + "points_other": "{{count}} 个点位", + "undo": "撤销上一个点位", + "reset": "重置多边形" + }, + "motionHeatmapLabel": "画面变动热力图", + "dialog": { + "title": "画面变动搜索", + "cameraLabel": "摄像头", + "previewAlt": "{{camera}} 摄像头实时预览" + }, + "timeRange": { + "title": "搜索范围", + "start": "开始时间", + "end": "结束时间" + }, + "settings": { + "title": "搜索设置", + "parallelMode": "并行模式", + "parallelModeDesc": "同时扫描多个录制片段（速度更快，但 CPU 占用会显著升高）", + "threshold": "灵敏度阈值", + "thresholdDesc": "数值越低，可检测到越小的变化（取值范围 1-255）", + "minArea": "最小变化区域", + "minAreaDesc": "最小感兴趣区域变化占比，达到该比例才会判定为有效变动", + "frameSkip": "帧跳过", + "frameSkipDesc": "每隔 N 帧进行一次处理。将该值设置为摄像头的帧率，即可实现每秒处理一帧画面（例如：5 帧 / 秒的摄像头设为 5，30 帧 / 秒的摄像头设为 30）。数值越高处理速度越快，但有可能遗漏短时移动侦测事件。", + "maxResults": "最大结果数", + "maxResultsDesc": "匹配到设定条数的录像事件后，就自动停止检索" + }, + "errors": { + "noCamera": "请选择摄像头", + "noROI": "请绘制感兴趣的区域", + "noTimeRange": "请选择时间范围", + "invalidTimeRange": "结束时间必须在开始时间之后", + "searchFailed": "搜索失败：{{message}}", + "polygonTooSmall": "多边形至少需要 3 个顶点", + "unknown": "未知错误" + }, + "changePercentage": "{{percentage}}% 已变化", + "metrics": { + "title": "搜索指标", + "segmentsScanned": "已扫描片段数", + "segmentsProcessed": "已处理", + "segmentsSkippedInactive": "已跳过（无活动）", + "segmentsSkippedHeatmap": "已跳过（不在感兴趣区域）", + "fallbackFullRange": "备用全范围扫描", + "framesDecoded": "画面已解码", + "wallTime": "搜索时间", + "segmentErrors": "片段异常", + "seconds": "{{seconds}} 秒" + } +} diff --git a/web/public/locales/zh-CN/views/replay.json b/web/public/locales/zh-CN/views/replay.json new file mode 100644 index 0000000000..00634af5d7 --- /dev/null +++ b/web/public/locales/zh-CN/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "调试回放", + "description": "回放摄像头录像以供调试。目标列表会延时展示已检测目标的汇总信息，消息标签页则实时展示回放录像对应的 Frigate 内部日志信息流。", + "websocket_messages": "消息", + "dialog": { + "title": "开始调试回放", + "description": "创建临时回放摄像头，循环播放历史录制视频，用于调试目标检测与追踪相关问题。临时回放的摄像头将沿用原摄像头的检测配置。请选择一个时间范围开始。", + "camera": "原摄像头", + "timeRange": "时间范围", + "preset": { + "1m": "最后 1 分钟", + "5m": "最后 5 分钟", + "timeline": "从时间线", + "custom": "自定义" + }, + "startButton": "开始回放", + "selectFromTimeline": "选择", + "starting": "开始回放…", + "startLabel": "开始", + "endLabel": "结束", + "toast": { + "error": "调试回放启动失败：{{error}}", + "alreadyActive": "已有回放会话正在运行", + "stopError": "调试回放停止失败：{{error}}", + "goToReplay": "进入回放" + } + }, + "page": { + "noSession": "没有正在进行的调试回放会话", + "noSessionDesc": "从历史回放页面启动调试回放：点击工具栏中的操作按钮，选择调试回放即可。", + "goToRecordings": "查看历史记录", + "preparingClip": "正在准备片段…", + "preparingClipDesc": "Frigate 正在拼接所选时间范围的录像片段。时间跨度较大时，该过程可能需要一分钟左右。", + "startingCamera": "开始调试回放中…", + "startError": { + "title": "调试回放启动失败", + "back": "返回历史记录" + }, + "sourceCamera": "源摄像头", + "replayCamera": "回放摄像头", + "initializingReplay": "初始化调试回放中…", + "stoppingReplay": "正在停止调试回放…", + "stopReplay": "停止回放", + "confirmStop": { + "title": "要停止调试回放吗？", + "description": "这将终止会话并清除所有临时数据。是否确定？", + "confirm": "停止回放", + "cancel": "取消" + }, + "activity": "活动", + "objects": "目标列表", + "audioDetections": "音频检测", + "noActivity": "未检测到活动", + "activeTracking": "活动追踪中", + "noActiveTracking": "没有活动追踪", + "configuration": "配置", + "configurationDesc": "微调调试回放摄像头的移动侦测与目标追踪参数。本次调整不会保存到你的 Frigate 配置文件中。" + } +} diff --git a/web/public/locales/zh-CN/views/settings.json b/web/public/locales/zh-CN/views/settings.json index 55190e53bd..0a181dee18 100644 --- a/web/public/locales/zh-CN/views/settings.json +++ b/web/public/locales/zh-CN/views/settings.json @@ -16,7 +16,8 @@ "globalConfig": "全局配置 - Frigate", "cameraConfig": "摄像头配置 - Frigate", "maintenance": "维护 - Frigate", - "profiles": "配置模板 - Frigate" + "profiles": "配置模板 - Frigate", + "detectorsAndModel": "检测器和模型 - Frigate" }, "menu": { "ui": "界面设置", @@ -45,14 +46,14 @@ "globalMotion": "画面变动检测", "globalObjects": "目标", "globalReview": "核查", - "globalAudioEvents": "音频事件", - "globalLivePlayback": "实时回放", + "globalAudioEvents": "音频检测", + "globalLivePlayback": "实时监控观看", "globalTimestampStyle": "时间戳样式", "systemDatabase": "数据库", "systemTls": "TLS加密链接", "systemAuthentication": "验证", "systemNetworking": "网络", - "systemProxy": "代理", + "systemProxy": "反向代理", "systemUi": "界面", "systemLogging": "日志", "systemEnvironmentVariables": "环境变量", @@ -75,16 +76,16 @@ "cameraMotion": "画面变动检测", "cameraObjects": "目标", "cameraConfigReview": "核查", - "cameraAudioEvents": "音频事件", + "cameraAudioEvents": "音频检测", "cameraAudioTranscription": "音频转录", "cameraNotifications": "通知", - "cameraLivePlayback": "实时回放", + "cameraLivePlayback": "实时监控观看", "cameraBirdseye": "鸟瞰图", "cameraFaceRecognition": "人脸识别", "cameraLpr": "车牌识别", "cameraMqttConfig": "MQTT", "cameraOnvif": "ONVIF", - "cameraUi": "摄像头管理页面", + "cameraUi": "摄像头页面", "cameraTimestampStyle": "时间戳样式", "cameraMqtt": "摄像头 MQTT", "mediaSync": "媒体同步", @@ -92,7 +93,8 @@ "uiSettings": "界面设置", "profiles": "配置模板", "systemGo2rtcStreams": "go2rtc 视频流", - "maintenance": "维护" + "maintenance": "维护", + "systemDetectorsAndModel": "检测器和模型" }, "dialog": { "unsavedChanges": { @@ -358,7 +360,8 @@ "object_mask": "目标遮罩" }, "revertOverride": { - "title": "恢复为默认配置" + "title": "恢复为默认配置", + "desc": "这将移除针对 {{type}} {{name}} 的配置覆盖，并恢复为基础配置。" } }, "speed": { @@ -794,12 +797,20 @@ "cameras": "摄像头", "loading": "正在加载模型信息…", "error": "加载模型信息失败", - "availableModels": "可用模型", + "availableModels": "可用 Frigate+ 模型", "loadingAvailableModels": "正在加载可用模型…", "modelSelect": "您可以在Frigate+上选择可用的模型。请注意，只能选择与当前检测器配置兼容的模型。", "plusModelType": { "baseModel": "基础模型", "userModel": "定向调优" + }, + "noModelLoaded": "当前未加载任何Frigate+模型。", + "selectModel": "选择一个模型", + "noModelsAvailable": "无可用模型", + "filter": { + "ariaLabel": "按类型筛选模型", + "baseModels": "基础模型", + "fineTunedModels": "微调过的模型" } }, "toast": { @@ -814,7 +825,8 @@ "currentModel": "当前模型", "otherModels": "其他模型", "configuration": "配置" - } + }, + "changeInDetectorsAndModel": "改变模型" }, "enrichments": { "title": "增强功能设置", @@ -1113,7 +1125,7 @@ "noSnapshot": "无法从配置的视频流中获取快照。" }, "errors": { - "brandOrCustomUrlRequired": "请选择摄像头品牌并配置主机/IP地址，或选择“其他”后手动配置视频流地址", + "brandOrCustomUrlRequired": "请选择摄像头品牌并配置主机/ IP 地址，或选择“其他”后手动配置视频流地址", "nameRequired": "摄像头名称为必填项", "nameLength": "摄像头名称要少于64个字符", "invalidCharacters": "摄像头名称内有不允许使用的字符", @@ -1121,7 +1133,7 @@ "brands": { "reolink-rtsp": "不建议使用萤石 RTSP 协议。建议在摄像头设置中启用 HTTP 协议，并重新运行摄像头添加向导。" }, - "customUrlRtspRequired": "自定义URL必须以“rtsp://”开头；对于非 RTSP 协议的摄像头流，需手动添加至配置文件。" + "customUrlRtspRequired": "自定义 URL 必须以“rtsp://”开头；对于非 RTSP 协议的摄像头流，需手动添加至配置文件。" }, "docs": { "reolink": "https://docs.frigate-cn.video/configuration/camera_specific.html#reolink-cameras" @@ -1138,7 +1150,7 @@ "detectionMethodDescription": "如果摄像头支持 ONVIF 协议，将使用该协议探测摄像头，以自动获取摄像头视频流地址；若不支持，也可手动选择摄像头品牌来使用预设地址。如需输入自定义RTSP地址，请选择“手动选择”并选择“其他”选项。", "onvifPortDescription": "对于支持ONVIF协议的摄像头，该端口通常为80或8080。", "useDigestAuth": "使用摘要认证", - "useDigestAuthDescription": "为ONVIF协议启用HTTP摘要认证。部分摄像头可能需要专用的 ONVIF 用户名/密码，而非默认的admin账户。" + "useDigestAuthDescription": "为 ONVIF 协议启用 HTTP 摘要认证。部分摄像头可能需要专用的 ONVIF 用户名/密码，而非默认的 admin 账户。" }, "step2": { "description": "将根据你选择的检测方式，将会自动查找摄像头可用流配置，或进行手动配置。", @@ -1161,7 +1173,7 @@ }, "testStream": "测试连接", "testSuccess": "视频流测试成功！", - "testFailed": "视频流测试失败", + "testFailed": "连接测试失败，请检查您的输入后重试。", "testFailedTitle": "测试失败", "connected": "已连接", "notConnected": "未连接", @@ -1337,7 +1349,8 @@ }, "hikvision": { "substreamWarning": "子码流1当前被锁定为低分辨率。多数海康威视的摄像头都支持额外的子码流，这些子码流需要在摄像头设置中手动启用。如果你的设备支持，建议你检查并使用这些高分辨率子码流。" - } + }, + "resolutionUnknown": "无法检测此视频流的分辨率。你需要在设置或配置文件中手动指定检测分辨率。" } } }, @@ -1351,10 +1364,19 @@ "title": "开启或关闭摄像头", "desc": "将临时禁用摄像头，直到 Frigate 重启。禁用摄像头将完全停止 Frigate 对该摄像头视频流的处理，届时检测、录制及调试功能均不可用。
    注意：go2rtc 的转流服务不受影响。", "enableLabel": "开启摄像头", - "enableDesc": "暂时禁用已开启的摄像头，直到 Frigate 重启。禁用摄像头会完全停止 Frigate 对该摄像头视频流的处理。检测、录像和调试功能将不可用。
    注意：这不会禁用 go2rtc 的转推流。", + "enableDesc": "暂时禁用已开启的摄像头，直到 Frigate 重启。禁用摄像头会完全停止 Frigate 对该摄像头视频流的处理。检测、录像和调试功能将不可用。
    注意：这不会禁用 go2rtc 的转推流。

    拖动滑块以重新排序摄像头，使其在用户界面中按顺序显示。启用的摄像头的顺序将在整个用户界面中反映，包括实时监控仪表板和摄像头选择下拉菜单。", "disableLabel": "关闭摄像头", "disableDesc": "开启在当前在界面中不可见且在配置中被禁用的摄像头。启用后需要重启 Frigate 才能生效。", - "enableSuccess": "已在配置中启用 {{cameraName}}。请重启 Frigate 以应用更改。" + "enableSuccess": "已在配置中启用 {{cameraName}}。请重启 Frigate 以应用更改。", + "friendlyName": { + "edit": "修改摄像头显示名称", + "title": "修改显示名称", + "description": "设置该摄像机在 Frigate 用户界面中显示的名称。若留空，则使用摄像机 ID。", + "rename": "重命名" + }, + "reorderHandle": "拖动以重新排序", + "saving": "保存中…", + "saved": "已保存" }, "cameraConfig": { "add": "添加摄像头", @@ -1404,7 +1426,16 @@ "inherit": "继承", "enabled": "开启", "disabled": "关闭" - } + }, + "cameraType": { + "title": "摄像头类型", + "label": "摄像头类型", + "description": "为每路摄像头设置类型。专用车牌识别（LPR）摄像头为单用途设备，配备高倍光学变焦，可抓拍远处车辆的车牌。绝大多数摄像头应选用“通用”类型；只有专为车牌识别部署、且画面聚焦对准车牌的摄像头，才需选择“专用车牌识别”。", + "normal": "通用", + "dedicatedLpr": "车牌识别专用", + "saveSuccess": "已更新 {{cameraName}} 的摄像头类型，请重启 Frigate 以使更改生效。" + }, + "description": "添加、编辑和删除摄像头，控制启用哪些摄像头，并配置每个配置文件和摄像头类型的覆盖设置。要配置流媒体、检测、运动和其他特定于摄像头的设置，请在“摄像头配置”下选择相关功能。" }, "cameraReview": { "title": "摄像头核查设置", @@ -1493,7 +1524,7 @@ "tls": "TLS", "proxy": "代理", "go2rtc": "go2rtc", - "ffmpeg": "FFmpeg", + "ffmpeg": "FFmpeg 编解码", "detectors": "检测器", "genai": "生成式 AI", "face_recognition": "人脸识别", @@ -1519,7 +1550,7 @@ "remove": "移除" }, "roleMap": { - "empty": "未配置角色映射。", + "empty": "未配置权限组映射", "addMapping": "添加角色映射", "roleLabel": "角色", "groupsLabel": "用户组", @@ -1643,7 +1674,9 @@ "options": { "embeddings": "嵌入（Embedding）", "vision": "视觉（Vision）", - "tools": "工具（Tools）" + "tools": "工具（Tools）", + "descriptions": "描述生成", + "chat": "聊天对话" } }, "semanticSearchModel": { @@ -1655,7 +1688,16 @@ "summary": "已选择 {{count}} 个标签", "empty": "暂无可用标签" }, - "addCustomLabel": "添加自定义标签…" + "addCustomLabel": "添加自定义标签…", + "genaiModel": { + "placeholder": "选择模型…", + "search": "搜索模型…", + "noModels": "暂无模型" + }, + "knownPlates": { + "namePlaceholder": "例如：老婆的车", + "platePlaceholder": "车牌号或正则表达式" + } }, "cameraConfig": { "title": "摄像头配置", @@ -1721,7 +1763,7 @@ "desc": "区域网格是一种优化功能，它会学习不同大小的目标通常出现在每个摄像头视野中的位置。Frigate 利用这些数据来高效地确定检测区域的大小。该网格会根据追踪目标数据自动构建。", "clear": "清除区域网格", "clearConfirmTitle": "清除区域网格", - "clearConfirmDesc": "除非您最近更改了检测器模型大小或摄像头的物理位置，并且遇到了目标追踪问题，否则不建议清除区域网格。网格会随着目标的追踪自动重建。更改需要重启 Frigate 才能生效。", + "clearConfirmDesc": "除非你最近更改了检测器模型大小或摄像头的物理位置，并且遇到了目标追踪问题，否则不建议清除区域网格。网格会随着目标的追踪自动重建。更改需要重启 Frigate 才能生效。", "clearSuccess": "区域网格清除成功", "clearError": "清除区域网格失败", "restartRequired": "需要重启以使区域网格更改生效" @@ -1746,7 +1788,8 @@ "resetError": "重置设置失败", "saveAllSuccess_other": "所有 {{count}} 个部分保存成功。", "saveAllPartial_other": "已保存 {{successCount}} / {{totalCount}} 个部分。{{failCount}} 个失败。", - "saveAllFailure": "保存所有部分失败。" + "saveAllFailure": "保存所有部分失败。", + "saveAllSuccessRestartRequired_other": "成功保存 {{count}} 个部分。重启 Frigate 以生效。" }, "unsavedChanges": "您有未保存的更改", "confirmReset": "确认重置", @@ -1756,7 +1799,18 @@ "overriddenGlobal": "已覆盖全局通用配置", "overriddenGlobalTooltip": "当前摄像头配置，将优先覆盖全局通用设置", "overriddenBaseConfigTooltip": "当前 {{profile}} 配置模板会覆盖本节所有设置", - "overriddenBaseConfig": "已覆盖默认配置" + "overriddenBaseConfig": "已覆盖默认配置", + "overriddenInCameras": { + "label_other": "已在 {{count}} 个摄像头中单独配置", + "tooltip_other": "{{count}} 个摄像头在此项中存在单独配置，点击查看详情。", + "heading_other": "此全局设置项下有 {{count}} 个摄像头存在自定义单独配置。", + "othersField_other": "其余 {{count}} 个", + "profilePrefix": "{{profile}} 配置方案：{{fields}}" + }, + "overriddenGlobalHeading_other": "该摄像头已覆盖全局配置中的 {{count}} 项设置：", + "overriddenGlobalNoDeltas": "该摄像头已覆盖全局配置，但所有配置项数值均无差异。", + "overriddenBaseConfigHeading_other": "{{profile}} 配置模板已覆盖基础配置中的 {{count}} 项设置：", + "overriddenBaseConfigNoDeltas": "{{profile}} 配置模板已覆盖该板块，但各项参数与基础配置完全一致无差异。" }, "profiles": { "title": "配置模板", @@ -1795,7 +1849,7 @@ "deleteSection": "删除节点覆盖", "deleteSectionConfirm": "是否要移除摄像机 {{camera}} 上针对配置文件 {{profile}} 的 {{section}} 覆盖设置？", "deleteSectionSuccess": "已移除 {{profile}} 的 {{section}} 覆盖设置", - "enableSwitch": "开启配置文件", + "enableSwitch": "开启配置模板", "enabledDescription": "配置文件功能已启用。请在下方创建新的配置文件，进入摄像头配置页面进行修改并保存，修改即可生效。", "disabledDescription": "配置文件功能可以让你创建一组带名称的摄像头自定义参数（比如布防、离家、夜间模式），并随时切换启用。" }, @@ -1849,17 +1903,26 @@ }, "onvif": { "profileAuto": "自动", - "profileLoading": "正在加载配置文件…" + "profileLoading": "正在加载配置文件…", + "autotracking": { + "zooming": { + "disabled": "关闭", + "absolute": "绝对", + "relative": "相对" + } + } }, "configMessages": { "review": { "recordDisabled": "录制已禁用，不会生成核查记录项。", "detectDisabled": "目标检测已禁用。核查记录需要依靠检测到的目标来对警报和检测事件进行分类。", - "allNonAlertDetections": "所有非警报类活动都将被记录为检测事件。" + "allNonAlertDetections": "所有非警报类活动都将被记录为检测事件。", + "genaiImageSourceRecordingsRecordDisabled": "图像源虽然设置为“录制”，但录制功能已关闭。Frigate 将自动降级使用预览图片。" }, "lpr": { - "vehicleNotTracked": "车牌识别需要先开启对 “汽车” 或 “摩托车” 的目标追踪。", - "globalDisabled": "车牌识别未在全局开启。请在全局设置中开启该功能，才能在摄像头下单独配置车牌识别是否开启。" + "vehicleNotTracked": "车牌识别需要先开启对 “汽车” 或 “摩托车” 的目标追踪。请在该摄像头的检测目标中添加“汽车”或“摩托车”。", + "globalDisabled": "要让该摄像头的车牌识别功能正常使用，必须先开启车牌识别增强功能。", + "modelSizeLarge": "大型模型针对多行格式车牌做了优化。小型模型的性能优于大型模型，而且只有小型模型才能支持中文车牌。除非你所在地区使用多行车牌格式，否则建议使用小型模型。" }, "audio": { "noAudioRole": "暂无任何流已开启音频（audio）功能（role）。必须在视频流上启用音频功能，音频检测才能正常工作。" @@ -1868,11 +1931,13 @@ "audioDetectionDisabled": "该摄像头未开启音频检测功能。音频转录需要先开启音频检测。" }, "detect": { - "fpsGreaterThanFive": "不建议设置检测帧率高于 5。" + "fpsGreaterThanFive": "不建议设置检测帧率高于 5，数值设置过高可能引发性能问题，且不会带来任何增益。", + "disabled": "目标检测已禁用。快照、回放条目以及人脸识别、车牌识别、生成式 AI 等增强功能都将无法使用。" }, "faceRecognition": { - "globalDisabled": "人脸识别未在全局开启。请在全局设置中开启该功能，才能在摄像头下单独配置人脸识别是否开启。", - "personNotTracked": "人脸识别需要检测到 “人”（person） 后才能工作。请确保 “person” 已添加到目标追踪列表中。" + "globalDisabled": "必须开启人脸识别增强功能，此摄像头的人脸识别相关功能才能正常使用。", + "personNotTracked": "人脸识别需要检测到 “人”（person） 后才能工作。请在该摄像头的检测目标设置中添加“人”。", + "modelSizeLarge": "大型模型需要 GPU 或 NPU 才能运行正常。仅使用 CPU 的设备请选用小型模型。" }, "record": { "noRecordRole": "暂无任何视频流已配置录制功能，录制功能将无法正常工作。" @@ -1884,7 +1949,113 @@ "detectDisabled": "目标检测已禁用。快照是根据追踪到的目标生成的，因此将不会创建快照。" }, "detectors": { - "mixedTypes": "所有检测器必须为同一类型。若要更换为其他类型，请先移除现有的检测器。" + "mixedTypes": "所有检测器必须为同一类型。若要更换为其他类型，请先移除现有的检测器。", + "mixedTypesSuggestion": "所有检测器必须使用相同类型。请移除现有检测器，或选择 {{type}}。" + }, + "objects": { + "genaiNoDescriptionsProvider": "必须配置具备“描述”功能的生成式 AI 服务商，才能自动生成事件描述。" + }, + "semanticSearch": { + "jinav2SmallModelSize": "Jina V2 的大型模型版本内存占用与推理开销较高，建议搭配独立显卡使用大型模型。" + } + }, + "birdseye": { + "trackingMode": { + "objects": "基于目标", + "motion": "基于画面变动", + "continuous": "连续" + }, + "cameraOrder": { + "label": "摄像头排序", + "description": "拖动摄像头以在鸟瞰布局中设置它们的顺序。", + "reorderHandle": "拖动以重新排序", + "saving": "保存中…", + "saved": "已保存" + } + }, + "snapshot": { + "retainMode": { + "all": "所有", + "motion": "画面变动", + "active_objects": "活动目标" + } + }, + "ui": { + "timeFormat": { + "browser": "基于浏览器", + "12hour": "12 小时制", + "24hour": "24 小时制" + }, + "TimeOrDateStyle": { + "full": "完整", + "long": "长", + "medium": "中等", + "short": "段" + }, + "unitSystem": { + "metric": "公制单位", + "imperial": "英制单位" + } + }, + "review": { + "imageSource": { + "recordings": "录制文件", + "previews": "预览" } + }, + "logger": { + "logLevel": { + "debug": "调试", + "info": "信息", + "warning": "警告", + "error": "错误", + "critical": "关键" + } + }, + "modelSize": { + "small": "小型", + "large": "大型" + }, + "retainMode": { + "all": "全部", + "motion": "运动", + "active_objects": "活动目标" + }, + "previewQuality": { + "very_high": "非常高", + "high": "高", + "medium": "中等", + "low": "低", + "very_low": "非常低" + }, + "detectorsAndModel": { + "title": "检测器和模型", + "description": "配置用于运行目标检测的检测器后端及对应模型，配置将统一保存，确保检测器与模型保持匹配一致。", + "cardTitles": { + "detector": "检测器硬件", + "model": "检测器模型" + }, + "tabs": { + "plus": "Frigate+", + "custom": "自定义模型" + }, + "mismatch": { + "warning": "当前 Frigate+ 模型“{{model}}”需搭配 {{required}} 检测器使用。请在下方选择兼容的模型，或切换为自定义模型后再保存。" + }, + "plusModel": { + "requiresDetector": "需要检测器：{{detector}}", + "noModelSelected": "选择 Frigate+ 模型" + }, + "toast": { + "saveSuccess": "检测器与模型设置已保存，请重启 Frigate 以生效配置。", + "saveError": "保存检测器及模型设置失败" + }, + "unsavedChanges": "检测器与模型配置存在未保存修改", + "restartRequired": "需要重启（检测器 或 模型 的设置已变更）" + }, + "menuDot": { + "overrideGlobal": "这一部分覆盖了全局配置", + "overrideProfile": "本节被 {{profile}} 配置文件覆盖", + "unsaved": "这一部分有未保存的更改" } } diff --git a/web/public/locales/zh-CN/views/system.json b/web/public/locales/zh-CN/views/system.json index 6e406674a7..79882b6afe 100644 --- a/web/public/locales/zh-CN/views/system.json +++ b/web/public/locales/zh-CN/views/system.json @@ -213,6 +213,9 @@ "expectedFps": "预期帧率", "reconnectsLastHour": "最近一小时重连次数", "stallsLastHour": "最近一小时卡顿次数" + }, + "noCameras": { + "title": "没有找到摄像头" } }, "lastRefreshed": "最后刷新时间： ", diff --git a/web/public/locales/zh-Hant/audio.json b/web/public/locales/zh-Hant/audio.json index 9a458ce9c3..f5dd289f88 100644 --- a/web/public/locales/zh-Hant/audio.json +++ b/web/public/locales/zh-Hant/audio.json @@ -77,5 +77,427 @@ "chatter": "嘈雜聲", "crowd": "人群聲", "children_playing": "兒童嬉鬧聲", - "pets": "寵物" + "pets": "寵物", + "yip": "吠叫", + "howl": "嚎叫", + "bow_wow": "汪汪", + "growling": "咆哮", + "whimper_dog": "狗嗚咽", + "purr": "咕嚕", + "meow": "喵喵", + "hiss": "嘶嘶聲", + "caterwaul": "貓叫春", + "livestock": "牲畜", + "clip_clop": "蹄聲", + "neigh": "嘶鳴", + "cattle": "牛", + "moo": "哞哞", + "cowbell": "牛鈴", + "pig": "豬", + "oink": "哼哼", + "bleat": "咩咩", + "fowl": "家禽", + "chicken": "雞", + "cluck": "咯咯", + "cock_a_doodle_doo": "喔喔", + "turkey": "火雞", + "gobble": "咯咯", + "duck": "鴨子", + "quack": "嘎嘎", + "goose": "鵝", + "honk": "鳴笛/鵝叫聲", + "wild_animals": "野生動物", + "roaring_cats": "吼叫的貓科動物", + "roar": "吼叫", + "chirp": "啾啾", + "squawk": "啼叫", + "pigeon": "鴿子", + "coo": "咕咕", + "crow": "烏鴉", + "caw": "呱呱", + "owl": "貓頭鷹", + "hoot": "嗚嗚", + "flapping_wings": "翅膀拍打", + "dogs": "狗群", + "rats": "老鼠", + "patter": "啪嗒聲", + "insect": "昆蟲", + "cricket": "蟋蟀", + "mosquito": "蚊子", + "fly": "蒼蠅", + "buzz": "嗡嗡", + "frog": "青蛙", + "croak": "呱呱", + "snake": "蛇", + "rattle": "響尾", + "whale_vocalization": "鯨魚叫聲", + "music": "音樂", + "musical_instrument": "樂器", + "plucked_string_instrument": "彈撥樂器", + "guitar": "吉他", + "electric_guitar": "電吉他", + "bass_guitar": "貝斯", + "acoustic_guitar": "原聲吉他", + "steel_guitar": "鋼弦吉他", + "tapping": "敲擊", + "strum": "掃弦", + "banjo": "班卓琴", + "sitar": "西塔琴", + "mandolin": "曼陀林", + "zither": "古箏", + "ukulele": "尤克里裡", + "piano": "鋼琴", + "electric_piano": "電鋼琴", + "organ": "風琴", + "electronic_organ": "電子琴", + "hammond_organ": "哈蒙德風琴", + "synthesizer": "合成器", + "sampler": "取樣器", + "harpsichord": "大鍵琴", + "percussion": "打擊樂器", + "drum_kit": "架子鼓", + "drum_machine": "鼓機", + "drum": "鼓", + "snare_drum": "軍鼓", + "rimshot": "鼓邊擊", + "drum_roll": "滾鼓", + "bass_drum": "大鼓", + "timpani": "定音鼓", + "tabla": "塔布拉鼓", + "cymbal": "鈸", + "hi_hat": "踩鑔", + "wood_block": "木魚", + "tambourine": "鈴鼓", + "maraca": "沙錘", + "gong": "鑼", + "tubular_bells": "管鍾", + "mallet_percussion": "槌擊打擊樂器", + "marimba": "馬林巴", + "glockenspiel": "鐘琴", + "vibraphone": "顫音琴", + "steelpan": "鋼鼓", + "orchestra": "管絃樂隊", + "brass_instrument": "銅管樂器", + "french_horn": "圓號", + "trumpet": "小號", + "trombone": "長號", + "bowed_string_instrument": "弓弦樂器", + "string_section": "絃樂組", + "violin": "小提琴", + "pizzicato": "撥絃", + "cello": "大提琴", + "double_bass": "低音提琴", + "wind_instrument": "管樂器", + "flute": "長笛", + "saxophone": "薩克斯", + "clarinet": "單簧管", + "harp": "豎琴", + "bell": "鈴", + "church_bell": "教堂鍾", + "jingle_bell": "鈴鐺", + "bicycle_bell": "腳踏車鈴", + "tuning_fork": "音叉", + "chime": "風鈴", + "wind_chime": "風鈴", + "harmonica": "口琴", + "accordion": "手風琴", + "bagpipes": "風笛", + "didgeridoo": "迪吉里杜管", + "theremin": "特雷門琴", + "singing_bowl": "頌缽", + "scratching": "刮擦聲", + "pop_music": "流行音樂", + "hip_hop_music": "嘻哈音樂", + "beatboxing": "人聲節拍", + "rock_music": "搖滾音樂", + "heavy_metal": "重金屬", + "punk_rock": "朋克搖滾", + "grunge": "垃圾搖滾", + "progressive_rock": "前衛搖滾", + "rock_and_roll": "搖滾樂", + "psychedelic_rock": "迷幻搖滾", + "rhythm_and_blues": "節奏布魯斯", + "soul_music": "靈魂樂", + "reggae": "雷鬼", + "country": "鄉村音樂", + "swing_music": "搖擺樂", + "bluegrass": "藍草音樂", + "funk": "放克", + "folk_music": "民謠", + "middle_eastern_music": "中東音樂", + "jazz": "爵士樂", + "disco": "迪斯科", + "classical_music": "古典音樂", + "opera": "歌劇", + "electronic_music": "電子音樂", + "house_music": "浩室音樂", + "techno": "科技舞曲", + "dubstep": "迴響貝斯", + "drum_and_bass": "鼓打貝斯", + "electronica": "電子樂", + "electronic_dance_music": "電子舞曲", + "ambient_music": "環境音樂", + "trance_music": "迷幻舞曲", + "music_of_latin_america": "拉丁美洲音樂", + "salsa_music": "薩爾薩", + "flamenco": "弗拉門戈", + "blues": "藍調", + "music_for_children": "兒童音樂", + "new-age_music": "新世紀音樂", + "vocal_music": "聲樂", + "a_capella": "無伴奏合唱", + "music_of_africa": "非洲音樂", + "afrobeat": "非洲節拍", + "christian_music": "基督教音樂", + "gospel_music": "福音音樂", + "music_of_asia": "亞洲音樂", + "carnatic_music": "卡納提克音樂", + "music_of_bollywood": "寶萊塢音樂", + "ska": "斯卡", + "traditional_music": "傳統音樂", + "independent_music": "獨立音樂", + "song": "歌曲", + "background_music": "背景音樂", + "theme_music": "主題音樂", + "jingle": "廣告歌", + "soundtrack_music": "配樂", + "lullaby": "搖籃曲", + "video_game_music": "電子遊戲音樂", + "christmas_music": "聖誕音樂", + "dance_music": "舞曲", + "wedding_music": "婚禮音樂", + "happy_music": "歡快音樂", + "sad_music": "悲傷音樂", + "tender_music": "溫柔音樂", + "exciting_music": "激動音樂", + "angry_music": "憤怒音樂", + "scary_music": "恐怖音樂", + "wind": "風", + "rustling_leaves": "樹葉沙沙聲", + "wind_noise": "風聲", + "thunderstorm": "雷暴", + "thunder": "雷聲", + "water": "水", + "rain": "雨", + "raindrop": "雨滴", + "rain_on_surface": "雨打表面", + "stream": "溪流", + "waterfall": "瀑布", + "ocean": "海洋", + "waves": "波浪", + "steam": "蒸汽", + "gurgling": "汩汩聲", + "fire": "火", + "crackle": "噼啪聲", + "sailboat": "帆船", + "rowboat": "划艇", + "motorboat": "摩托艇", + "ship": "輪船", + "motor_vehicle": "機動車", + "toot": "鳴笛", + "car_alarm": "汽車警報", + "power_windows": "電動車窗", + "skidding": "輪胎打滑", + "tire_squeal": "輪胎尖叫", + "car_passing_by": "汽車駛過", + "race_car": "賽車", + "truck": "卡車", + "air_brake": "氣閘", + "air_horn": "氣笛", + "reversing_beeps": "倒車提示音", + "ice_cream_truck": "冰淇淋車", + "emergency_vehicle": "應急車輛", + "police_car": "警車", + "ambulance": "救護車", + "fire_engine": "消防車", + "traffic_noise": "交通噪音", + "rail_transport": "鐵路運輸", + "train_whistle": "火車汽笛", + "train_horn": "火車鳴笛", + "railroad_car": "鐵路車廂", + "train_wheels_squealing": "火車輪子尖叫", + "subway": "地鐵", + "aircraft": "飛行器", + "aircraft_engine": "飛機引擎", + "jet_engine": "噴氣引擎", + "propeller": "螺旋槳", + "helicopter": "直升機", + "fixed-wing_aircraft": "固定翼飛機", + "engine": "引擎", + "light_engine": "輕型引擎", + "dental_drill's_drill": "牙科鑽", + "lawn_mower": "割草機", + "chainsaw": "電鋸", + "medium_engine": "中型引擎", + "heavy_engine": "重型引擎", + "engine_knocking": "引擎敲擊", + "engine_starting": "引擎啟動", + "idling": "怠速", + "accelerating": "加速", + "doorbell": "門鈴", + "ding-dong": "叮咚", + "sliding_door": "滑動門", + "slam": "猛關", + "knock": "敲門", + "tap": "輕敲", + "squeak": "吱吱聲", + "cupboard_open_or_close": "櫥櫃開關", + "drawer_open_or_close": "抽屜開關", + "dishes": "餐具", + "cutlery": "刀叉", + "chopping": "切菜", + "frying": "煎炸", + "microwave_oven": "微波爐", + "water_tap": "水龍頭", + "bathtub": "浴缸", + "toilet_flush": "馬桶沖水", + "electric_toothbrush": "電動牙刷", + "vacuum_cleaner": "吸塵器", + "zipper": "拉鍊", + "keys_jangling": "鑰匙叮噹", + "coin": "硬幣", + "electric_shaver": "電動剃鬚刀", + "shuffling_cards": "洗牌", + "typing": "打字", + "typewriter": "打字機", + "computer_keyboard": "電腦鍵盤", + "writing": "書寫", + "alarm": "警報", + "telephone": "電話", + "telephone_bell_ringing": "電話鈴聲", + "ringtone": "手機鈴聲", + "telephone_dialing": "電話撥號", + "dial_tone": "撥號音", + "busy_signal": "忙音", + "alarm_clock": "鬧鐘", + "siren": "警笛", + "civil_defense_siren": "防空警報", + "buzzer": "蜂鳴器", + "smoke_detector": "煙霧檢測器", + "fire_alarm": "火災警報器", + "foghorn": "霧笛", + "whistle": "哨子", + "steam_whistle": "蒸汽汽笛", + "mechanisms": "機械裝置", + "ratchet": "棘輪", + "tick": "滴答", + "tick-tock": "滴答滴答", + "gears": "齒輪", + "pulleys": "滑輪", + "sewing_machine": "縫紉機", + "mechanical_fan": "機械風扇", + "air_conditioning": "空調", + "cash_register": "收銀機", + "printer": "印表機", + "single-lens_reflex_camera": "單反相機", + "tools": "工具", + "hammer": "錘子", + "jackhammer": "風鎬", + "sawing": "鋸", + "filing": "銼", + "sanding": "砂磨", + "power_tool": "電動工具", + "drill": "電鑽", + "explosion": "爆炸", + "gunshot": "槍聲", + "machine_gun": "機關槍", + "fusillade": "齊射", + "artillery_fire": "炮火", + "cap_gun": "玩具槍", + "fireworks": "煙花", + "firecracker": "鞭炮", + "burst": "爆裂", + "eruption": "爆發", + "boom": "轟隆", + "wood": "木頭", + "chop": "砍", + "splinter": "碎裂", + "crack": "破裂", + "glass": "玻璃", + "chink": "叮噹", + "shatter": "粉碎", + "silence": "寂靜", + "sound_effect": "音效", + "environmental_noise": "環境噪音", + "static": "靜電噪音", + "white_noise": "白噪音", + "pink_noise": "粉紅噪音", + "television": "電視", + "radio": "收音機", + "field_recording": "實地錄音", + "scream": "尖叫", + "sodeling": "索德鈴", + "chird": "啾鳴", + "change_ringing": "變奏鐘聲", + "shofar": "羊角號", + "liquid": "液體", + "splash": "液體飛濺", + "slosh": "液體晃動", + "squish": "擠壓", + "drip": "水滴聲", + "pour": "倒水聲", + "trickle": "細流水聲", + "gush": "液體噴湧", + "fill": "注水聲", + "spray": "噴灑", + "pump": "泵送", + "stir": "攪拌聲", + "boiling": "沸騰聲", + "sonar": "聲吶聲", + "arrow": "箭矢聲", + "whoosh": "呼嘯聲", + "thump": "砰擊聲", + "thunk": "沉悶聲", + "electronic_tuner": "電子調音器", + "effects_unit": "效果器", + "chorus_effect": "合唱效果", + "basketball_bounce": "籃球反彈聲", + "bang": "砰聲", + "slap": "拍擊聲", + "whack": "重擊聲", + "smash": "猛擊聲", + "breaking": "破碎聲", + "bouncing": "彈跳聲", + "whip": "鞭打聲", + "flap": "撲動聲", + "scratch": "刮擦聲", + "scrape": "刮擦聲", + "rub": "摩擦聲", + "roll": "捲動聲", + "crushing": "壓碎聲", + "crumpling": "揉皺聲", + "tearing": "撕裂聲", + "beep": "嗶聲", + "ping": "嘀聲", + "ding": "叮聲", + "clang": "鐺聲", + "squeal": "尖銳聲", + "creak": "嘎吱聲", + "rustle": "沙沙聲", + "whir": "嗡聲", + "clatter": "哐啷聲", + "sizzle": "滋滋聲", + "clicking": "點選聲", + "clickety_clack": "咔嗒聲", + "rumble": "隆隆聲", + "plop": "撲通聲", + "hum": "嗡鳴聲", + "zing": "嗖聲", + "boing": "嘣聲", + "crunch": "咔嚓聲", + "sine_wave": "正弦波聲", + "harmonic": "諧波聲", + "chirp_tone": "啾聲", + "pulse": "脈衝", + "inside": "室內聲", + "outside": "室外聲", + "reverberation": "混響", + "echo": "回聲", + "noise": "噪聲", + "mains_hum": "電流嗡聲", + "distortion": "失真聲", + "sidetone": "旁音", + "cacophony": "刺耳噪聲", + "throbbing": "脈動聲", + "vibration": "振動聲" } diff --git a/web/public/locales/zh-Hant/common.json b/web/public/locales/zh-Hant/common.json index 17a60efaa6..e6e358bfb3 100644 --- a/web/public/locales/zh-Hant/common.json +++ b/web/public/locales/zh-Hant/common.json @@ -69,7 +69,8 @@ }, "inProgress": "處理中", "invalidStartTime": "無效的起始時間", - "invalidEndTime": "無效的結束時間" + "invalidEndTime": "無效的結束時間", + "never": "從不" }, "unit": { "speed": { @@ -95,7 +96,8 @@ "show": "顯示{{item}}", "ID": "ID", "none": "無", - "all": "全部" + "all": "全部", + "other": "其他" }, "button": { "apply": "套用", @@ -133,7 +135,19 @@ "export": "匯出", "deleteNow": "立即刪除", "next": "繼續", - "continue": "繼續" + "continue": "繼續", + "add": "新增", + "applying": "應用中…", + "undo": "撤銷", + "copiedToClipboard": "已複製到剪貼簿", + "modified": "已修改", + "overridden": "已覆蓋", + "resetToGlobal": "重設為全域性", + "resetToDefault": "重設為預設", + "saveAll": "儲存全部", + "savingAll": "儲存全部中…", + "undoAll": "撤銷全部", + "retry": "重試" }, "menu": { "system": "系統", @@ -185,7 +199,9 @@ "bg": "Български (保加利亞文)", "gl": "Galego (加利西亞文)", "id": "Bahasa Indonesia (印尼文)", - "ur": "اردو (烏爾都文)" + "ur": "اردو (烏爾都文)", + "hr": "Hrvatski（克羅地亞語）", + "bs": "Bosanski (波士尼亞語)" }, "appearance": "外觀", "darkMode": { @@ -233,7 +249,11 @@ "logout": "登出", "setPassword": "設定密碼" }, - "classification": "標籤分類" + "classification": "標籤分類", + "profiles": "設定檔", + "actions": "操作", + "features": "功能", + "chat": "聊天" }, "toast": { "copyUrlToClipboard": "已複製連結至剪貼簿。", @@ -242,7 +262,8 @@ "error": { "title": "保存設定變更失敗：{{errorMessage}}", "noMessage": "保存設定變更失敗" - } + }, + "success": "成功儲存設定檔。" } }, "role": { @@ -286,5 +307,7 @@ }, "information": { "pixels": "{{area}}px" - } + }, + "no_items": "沒有項目", + "validation_errors": "驗證錯誤" } diff --git a/web/public/locales/zh-Hant/components/camera.json b/web/public/locales/zh-Hant/components/camera.json index 3bace4d9de..1676e0da75 100644 --- a/web/public/locales/zh-Hant/components/camera.json +++ b/web/public/locales/zh-Hant/components/camera.json @@ -82,6 +82,7 @@ "zones": "區域", "mask": "遮罩", "motion": "移動", - "regions": "區塊" + "regions": "區塊", + "paths": "行動軌跡" } } diff --git a/web/public/locales/zh-Hant/components/dialog.json b/web/public/locales/zh-Hant/components/dialog.json index b28ccca480..3d6f33a684 100644 --- a/web/public/locales/zh-Hant/components/dialog.json +++ b/web/public/locales/zh-Hant/components/dialog.json @@ -6,7 +6,8 @@ "title": "Frigate 正在重新啟動", "content": "此頁面將在 {{countdown}} 秒後重新載入。", "button": "立即重新載入" - } + }, + "description": "Frigate 在重啟期間將短暫停止執行。" }, "explore": { "plus": { @@ -57,11 +58,60 @@ "endTimeMustAfterStartTime": "結束時間必須要在開始時間之後", "noVaildTimeSelected": "沒有選取有效的時間範圍" }, - "view": "查看" + "view": "查看", + "queued": "匯出已加入佇列。請在匯出頁面檢視進度。", + "batchSuccess_other": "已開始 {{count}} 個匯出，正在開啟案件。", + "batchPartial": "已開始 {{total}} 個匯出中的 {{successful}} 個。失敗的攝影機：{{failedCameras}}", + "batchFailed": "啟動匯出失敗（共 {{total}} 個）。失敗的攝影機：{{failedCameras}}", + "batchQueuedSuccess_other": "已排隊 {{count}} 個匯出，正在開啟案件。", + "batchQueuedPartial": "已將 {{total}} 個匯出中的 {{successful}} 個加入佇列。失敗的攝影機：{{failedCameras}}", + "batchQueueFailed": "未能將 {{total}} 個匯出加入佇列。失敗的攝影機：{{failedCameras}}" }, "fromTimeline": { "saveExport": "保存匯出資料", - "previewExport": "預覽匯出資料" + "previewExport": "預覽匯出資料", + "queueingExport": "正在加入匯出佇列…", + "useThisRange": "使用此範圍" + }, + "case": { + "newCaseOption": "建立新案件", + "newCaseNamePlaceholder": "新案件名稱", + "newCaseDescriptionPlaceholder": "案件描述", + "label": "案件", + "nonAdminHelp": "將為這些匯出檔案建立一個新的案件。", + "placeholder": "選擇案件" + }, + "queueing": "正在加入匯出佇列…", + "tabs": { + "export": "單個攝影機", + "multiCamera": "多個攝影機" + }, + "multiCamera": { + "timeRange": "時間範圍", + "selectFromTimeline": "從時間線選擇", + "cameraSelection": "攝影機", + "cameraSelectionHelp": "在此時間範圍內具有追蹤目標的攝影機會被預先選中", + "checkingActivity": "正在檢查攝影機活動…", + "noCameras": "沒有可用的攝影機", + "detectionCount_other": "{{count}} 個追蹤目標", + "nameLabel": "匯出名稱", + "namePlaceholder": "這些匯出檔案的可選基礎名稱", + "queueingButton": "正在加入匯出佇列…", + "exportButton_other": "匯出 {{count}} 個攝影機" + }, + "multi": { + "title_other": "匯出 {{count}} 個審閱", + "description": "匯出每個選定的審閱項。所有匯出檔案將歸入同一個案件。", + "descriptionNoCase": "匯出每個選定的審閱項。", + "caseNamePlaceholder": "審閱匯出 - {{date}}", + "exportButton_other": "匯出 {{count}} 個審閱", + "exportingButton": "匯出中…", + "toast": { + "started_other": "已開始 {{count}} 個匯出。正在開啟案件。", + "startedNoCase_other": "已開始 {{count}} 個匯出。", + "partial": "已啟動 {{total}} 個匯出，其中 {{successful}} 個成功。失敗項：{{failedItems}}", + "failed": "啟動匯出失敗（共 {{total}} 個）。失敗項：{{failedItems}}" + } } }, "streaming": { @@ -109,6 +159,14 @@ "markAsReviewed": "標記為已審核", "deleteNow": "立即刪除", "markAsUnreviewed": "標記為未審核" + }, + "shareTimestamp": { + "label": "分享該時間片段", + "title": "分享該時間片段", + "description": "分享帶當前錄製播放時間的網址，或選擇自訂時間。請注意這不是公開的分享連結，只有具備 Frigate 及此攝影機存取權限的使用者才能存取。", + "custom": "自訂時間", + "button": "分享時間片段網址", + "shareTitle": "Frigate 審閱時間：{{camera}}" } }, "imagePicker": { diff --git a/web/public/locales/zh-Hant/components/player.json b/web/public/locales/zh-Hant/components/player.json index dbecdb2beb..17015bd483 100644 --- a/web/public/locales/zh-Hant/components/player.json +++ b/web/public/locales/zh-Hant/components/player.json @@ -4,7 +4,8 @@ "noPreviewFoundFor": "找不到 {{cameraName}} 的預覽", "submitFrigatePlus": { "title": "提交此畫面至 Frigate+？", - "submit": "提交" + "submit": "提交", + "previewError": "無法載入快照預覽。該錄製當前可能不可用。" }, "streamOffline": { "desc": "{{cameraName}} 的 detect 串流未接收到任何畫面，請檢查錯誤日誌", diff --git a/web/public/locales/zh-Hant/config/cameras.json b/web/public/locales/zh-Hant/config/cameras.json index 8602044aa0..d2fd49f599 100644 --- a/web/public/locales/zh-Hant/config/cameras.json +++ b/web/public/locales/zh-Hant/config/cameras.json @@ -30,6 +30,924 @@ "listen": { "label": "監聽的音訊類型", "description": "要偵測的音訊事件類型清單（例如：狗吠、火警、尖叫、說話、大叫）。" + }, + "filters": { + "label": "音訊過濾器", + "description": "按音訊型別的過濾器設定，如用於減少誤報的置信度閾值。", + "threshold": { + "label": "最低音訊置信度", + "description": "音訊事件被計入的最低置信度閾值。" + } + }, + "enabled_in_config": { + "label": "原始音訊狀態", + "description": "指示原始靜態設定檔中是否開啟了音訊偵測。" + }, + "num_threads": { + "label": "偵測執行緒", + "description": "用於音訊偵測處理的執行緒數量。" } + }, + "mqtt": { + "label": "MQTT", + "description": "MQTT 影像釋出設定。", + "enabled": { + "label": "傳送影像", + "description": "為此攝影機啟用向 MQTT 主題釋出目標影像快照。" + }, + "timestamp": { + "label": "新增時間戳", + "description": "在釋出到 MQTT 的影像上疊加時間戳。" + }, + "bounding_box": { + "label": "新增邊界框", + "description": "在透過 MQTT 釋出的影像上繪製邊界框。" + }, + "crop": { + "label": "裁剪影像", + "description": "將釋出到 MQTT 的影像裁剪到偵測到的目標邊界框。" + }, + "height": { + "label": "影像高度", + "description": "透過 MQTT 釋出的影像的調整高度（像素）。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入才能釋出 MQTT 影像的區域。" + }, + "quality": { + "label": "JPEG 品質", + "description": "釋出到 MQTT 的影像的 JPEG 品質（0-100）。" + } + }, + "notifications": { + "label": "通知", + "enabled": { + "label": "開啟通知", + "description": "為此攝影機啟用或停用通知。" + }, + "email": { + "label": "通知郵箱", + "description": "用於推送通知或某些通知提供商要求的郵箱地址。" + }, + "cooldown": { + "label": "冷卻時間", + "description": "通知之間的冷卻時間（秒），以避免向收件人傳送垃圾資訊。" + }, + "enabled_in_config": { + "label": "原始通知狀態", + "description": "指示原始靜態配置中是否啟用了通知。" + }, + "description": "為此攝影機啟用和控制通知的設定。" + }, + "birdseye": { + "label": "鳥瞰圖", + "description": "將多路攝影機畫面合併為統一佈局的鳥瞰合成檢視設定。", + "enabled": { + "label": "開啟鳥瞰圖", + "description": "開啟或關閉鳥瞰圖功能。" + }, + "mode": { + "label": "追蹤模式", + "description": "在鳥瞰檢視中包含攝影機的模式：'objects'（目標）、'motion'（動作）或 'continuous'（持續）。" + }, + "order": { + "label": "排序位置", + "description": "用於控制攝影機在鳥瞰檢視佈局中排序位置的數值。" + } + }, + "detect": { + "label": "目標偵測", + "description": "用於執行目標偵測、初始化追蹤器的偵測模組設定。", + "enabled": { + "label": "開啟目標偵測", + "description": "開啟或關閉該攝影機的目標偵測。" + }, + "height": { + "label": "偵測畫面高度", + "description": "用於配置偵測流的畫面高度（像素）；留空則使用原始影片流解析度。" + }, + "width": { + "label": "偵測畫面寬度", + "description": "用於配置偵測流的畫面寬度（像素）；留空則使用原始影片流解析度。" + }, + "fps": { + "label": "偵測幀率", + "description": "偵測時希望使用的幀率；數值越低，CPU 佔用越小（推薦值為 5，僅在追蹤極高速運動的目標時才設定更高數值，最高不建議超過 10）。" + }, + "min_initialized": { + "label": "最小初始化幀數", + "description": "建立追蹤目標前，需要連續偵測到目標的次數。數值越大，錯誤觸發的追蹤越少。預設值為幀率除以 2。" + }, + "max_disappeared": { + "label": "最大消失幀數", + "description": "追蹤目標在連續多少幀未被偵測到時，將被判定為已消失。" + }, + "stationary": { + "label": "靜止目標配置", + "description": "用於偵測和管理長時間靜止目標的相關設定。", + "interval": { + "label": "靜止間隔", + "description": "設定每隔多少幀執行一次偵測，用於確認目標是否處於靜止狀態。" + }, + "threshold": { + "label": "靜止閾值", + "description": "目標需要連續多少幀位置不變，才會被標記為靜止狀態。" + }, + "max_frames": { + "label": "最大幀數", + "description": "限制靜止目標最大追蹤時長（以幀數為單位），超過將會停止追蹤。", + "default": { + "label": "預設最大幀數", + "description": "停止追蹤前，用於追蹤靜止目標的預設最大幀數。" + }, + "objects": { + "label": "目標最大幀數", + "description": "可對不同型別目標分別設定靜止追蹤的最大幀數（覆蓋全域性設定）。" + } + }, + "classifier": { + "label": "開啟視覺分類器", + "description": "使用視覺分類器，即使偵測框有輕微抖動，也能準確判斷物體是否為靜止。" + } + }, + "annotation_offset": { + "label": "標記偏移量", + "description": "偵測標記的時間偏移量（毫秒），用於讓時間軸上的偵測框與錄影畫面更精準對齊；可設定為正數或負數。" + } + }, + "ffmpeg": { + "label": "FFmpeg", + "description": "FFmpeg 編解碼相關設定，包含可執行檔案路徑、命令列引數、硬體加速選項，以及按不同功能劃分的輸出引數。", + "path": { + "label": "FFmpeg 路徑", + "description": "要使用的 FFmpeg 可執行檔案路徑，或版本別名（如 \"5.0\" 或 \"7.0\"）。" + }, + "global_args": { + "label": "FFmpeg 全域性引數", + "description": "傳遞給 FFmpeg 程序的全域性引數。" + }, + "hwaccel_args": { + "label": "硬體加速引數", + "description": "用於 FFmpeg 的硬體加速引數。建議使用對應硬體廠商的預設配置。" + }, + "input_args": { + "label": "輸入引數", + "description": "應用於 FFmpeg 輸入影片流的輸入引數。" + }, + "output_args": { + "label": "輸出引數", + "description": "用於不同 FFmpeg 功能（如偵測、錄製）的預設輸出引數。", + "detect": { + "label": "偵測輸出引數", + "description": "偵測功能影片流的預設輸出引數。" + }, + "record": { + "label": "錄製輸出引數", + "description": "錄製功能影片流的預設輸出引數。" + } + }, + "retry_interval": { + "label": "FFmpeg 重試時間", + "description": "攝影機影片流異常斷開後，重新連線前的等待時間。預設為 10 秒。" + }, + "apple_compatibility": { + "label": "Apple 相容性", + "description": "錄製 H.265 影片時啟用 HEVC 標記，以提升對 Apple 裝置播放的相容性。" + }, + "gpu": { + "label": "GPU 索引", + "description": "在啟用硬體加速時，預設使用的 GPU 索引。" + }, + "inputs": { + "label": "攝影機輸入影片流", + "description": "該攝影機的所有輸入流配置清單（包含路徑和功能）。", + "path": { + "label": "輸入路徑", + "description": "攝影機輸入影片流的地址或路徑。" + }, + "roles": { + "label": "輸入流功能", + "description": "定義該影片流的功能。" + }, + "global_args": { + "label": "FFmpeg 全域性引數", + "description": "該輸入影片流使用的 FFmpeg 全域性通用引數。" + }, + "hwaccel_args": { + "label": "硬體加速引數", + "description": "該輸入影片流的硬體加速引數。" + }, + "input_args": { + "label": "輸入引數", + "description": "該影片流特定的輸入引數。" + } + } + }, + "live": { + "label": "即時監控觀看", + "streams": { + "label": "即時監控流名稱", + "description": "配置的流名稱到用於即時監控播放的 restream/go2rtc 名稱的對映。" + }, + "height": { + "label": "即時監控高度", + "description": "在網頁頁面中渲染 jsmpeg 即時監控流的高度（像素）；必須小於等於偵測流高度。" + }, + "quality": { + "label": "即時監控品質", + "description": "jsmpeg 流的編碼品質（1 最高，31 最低）。" + }, + "description": "用於控制即時流選擇、解析度和品質的網頁頁面設定。" + }, + "motion": { + "label": "畫面變動偵測", + "enabled": { + "label": "開啟畫面變動偵測", + "description": "開啟或關閉此攝影機的畫面變動偵測。" + }, + "threshold": { + "label": "畫面變動閾值", + "description": "畫面變動偵測器使用的像素差異閾值；數值越高靈敏度越低（範圍 1-255）。" + }, + "lightning_threshold": { + "label": "閃電閾值", + "description": "用於偵測和忽略短暫閃電閃爍的閾值（數值越低越敏感，範圍 0.3 到 1.0）。這不會完全阻止畫面變動偵測；只是當超過閾值時偵測器會停止分析額外的幀。在此類事件期間仍會建立基於畫面變動的錄影。" + }, + "skip_motion_threshold": { + "label": "跳過畫面變動閾值", + "description": "如果單幀中畫面變化超過此比例，偵測器將判定為無畫面變動並立即重新校準。這可以節省 CPU 並減少閃電、風暴等情況下的誤報，但也可能會錯過真正的事件，如 PTZ 攝影機自動追蹤目標。你需要權衡取捨：是否犧牲少量錄製片段，換取更少無效影片與更低的誤檢。保持為空即可關閉該功能。" + }, + "improve_contrast": { + "label": "改善對比度", + "description": "在畫面變動分析之前對幀應用對比度改善以幫助偵測。" + }, + "contour_area": { + "label": "輪廓區域", + "description": "畫面變動輪廓被計入所需的最小輪廓區域（像素）。" + }, + "delta_alpha": { + "label": "Delta alpha", + "description": "用於畫面變動計算的幀差異中使用的 alpha 混合因子。" + }, + "frame_alpha": { + "label": "畫面 alpha 通道", + "description": "畫面變動預處理時混合畫面所使用的 alpha 值。" + }, + "frame_height": { + "label": "畫面高度", + "description": "計算畫面變動時縮放畫面的高度（像素）。" + }, + "mask": { + "label": "遮罩座標", + "description": "定義用於包含/排除區域的畫面變動遮罩多邊形的有序 x,y 座標。" + }, + "mqtt_off_delay": { + "label": "MQTT 關閉延遲", + "description": "在釋出 MQTT 'off' 狀態之前，最後一次畫面變動後等待的秒數。" + }, + "enabled_in_config": { + "label": "原始畫面變動狀態", + "description": "指示原始靜態配置中是否啟用了畫面變動偵測。" + }, + "raw_mask": { + "label": "原始遮罩" + }, + "description": "此攝影機的預設畫面變動偵測設定。" + }, + "objects": { + "label": "目標", + "description": "目標追蹤預設設定，包括要追蹤的標籤和按目標的過濾器。", + "track": { + "label": "要追蹤的目標", + "description": "此攝影機要追蹤的目標標籤清單。" + }, + "filters": { + "label": "目標過濾器", + "description": "應用於偵測到的目標以減少誤報的過濾器（區域、比例、置信度）。", + "min_area": { + "label": "最小目標區域", + "description": "此目標型別所需的最小邊界框區域（像素或百分比）。可以是像素（整數）或百分比（0.000001 到 0.99 之間的浮點數）。" + }, + "max_area": { + "label": "最大目標區域", + "description": "此目標型別允許的最大邊界框區域（像素或百分比）。可以是像素（整數）或百分比（0.000001 到 0.99 之間的浮點數）。" + }, + "min_ratio": { + "label": "最小縱橫比", + "description": "邊界框所需的最小寬高比。" + }, + "max_ratio": { + "label": "最大縱橫比", + "description": "邊界框允許的最大寬高比。" + }, + "threshold": { + "label": "置信度閾值", + "description": "目標被視為真正陽性所需的平均偵測置信度閾值。" + }, + "min_score": { + "label": "最小置信度", + "description": "目標被計入所需的最小單幀偵測置信度。" + }, + "mask": { + "label": "過濾器遮罩", + "description": "定義此過濾器在幀內應用位置的多邊形座標。" + }, + "raw_mask": { + "label": "原始遮罩" + } + }, + "mask": { + "label": "目標遮罩", + "description": "用於防止在指定區域進行目標偵測的遮罩多邊形。" + }, + "raw_mask": { + "label": "原始遮罩" + }, + "genai": { + "label": "生成式 AI 目標配置", + "description": "用於傳送畫面給生成式 AI 進行生成和描述追蹤目標的選項。", + "enabled": { + "label": "開啟生成式 AI", + "description": "預設開啟生成式 AI 生成追蹤目標的描述。" + }, + "use_snapshot": { + "label": "使用快照", + "description": "使用目標快照而不是縮圖給生成式 AI 進行描述生成。" + }, + "prompt": { + "label": "字幕提示", + "description": "使用生成式 AI 生成描述時使用的預設提示模板。" + }, + "object_prompts": { + "label": "目標提示", + "description": "按目標設定提示詞，讓生成式 AI 對不同標籤的輸出進行定製。" + }, + "objects": { + "label": "生成式 AI 目標", + "description": "預設傳送給生成式 AI 的目標標籤清單。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入這些區域，才會觸發生成式 AI 描述生成。" + }, + "debug_save_thumbnails": { + "label": "儲存縮圖", + "description": "儲存傳送給生成式 AI 的縮圖用於除錯和審閱。" + }, + "send_triggers": { + "label": "生成式 AI 觸發器", + "description": "定義畫面幀應在何時傳送給生成式 AI（如偵測結束時、更新後等）。", + "tracked_object_end": { + "label": "結束時傳送", + "description": "目標追蹤結束時向生成式 AI 傳送請求。" + }, + "after_significant_updates": { + "label": "生成式 AI 提前觸發", + "description": "在追蹤目標發生指定次數的重要變化後，向生成式 AI 傳送請求。" + } + }, + "enabled_in_config": { + "label": "原配置生成式 AI 狀態", + "description": "表示在原始靜態配置中是否已啟用生成式 AI。" + } + } + }, + "record": { + "label": "錄影", + "enabled": { + "label": "開啟錄影", + "description": "開啟或關閉此攝影機的錄影。" + }, + "expire_interval": { + "label": "錄影清理間隔", + "description": "清理過期錄影片段的間隔分鐘數。" + }, + "continuous": { + "label": "持續保留", + "description": "無論是否有追蹤目標或動作，保留錄影的天數。如果只想保留警報和偵測的錄影，請設定為 0。", + "days": { + "label": "保留天數", + "description": "保留錄影的天數。" + } + }, + "motion": { + "label": "動作保留", + "description": "無論是否有追蹤目標，由動作觸發的錄影保留天數。如果只想保留警報和偵測的錄影，請設定為 0。", + "days": { + "label": "保留天數", + "description": "保留錄影的天數。" + } + }, + "detections": { + "label": "偵測保留", + "description": "偵測事件的錄影保留設定，包括前後捕獲時長。", + "pre_capture": { + "label": "前捕獲秒數", + "description": "偵測事件之前包含在錄影中的秒數。" + }, + "post_capture": { + "label": "後捕獲秒數", + "description": "偵測事件之後包含在錄影中的秒數。" + }, + "retain": { + "label": "事件保留", + "description": "偵測事件錄影的保留設定。", + "days": { + "label": "保留天數", + "description": "保留偵測事件錄影的天數。" + }, + "mode": { + "label": "保留模式", + "description": "保留模式：all（儲存所有片段）、motion（儲存有動作的片段）或 active_objects（儲存有活動目標的片段）。" + } + } + }, + "alerts": { + "label": "警報保留", + "description": "警報事件的錄影保留設定，包括前後捕獲時長。", + "pre_capture": { + "label": "前捕獲秒數", + "description": "偵測事件之前包含在錄影中的秒數。" + }, + "post_capture": { + "label": "後捕獲秒數", + "description": "偵測事件之後包含在錄影中的秒數。" + }, + "retain": { + "label": "事件保留", + "description": "偵測事件錄影的保留設定。", + "days": { + "label": "保留天數", + "description": "保留偵測事件錄影的天數。" + }, + "mode": { + "label": "保留模式", + "description": "保留模式：all（儲存所有片段）、motion（儲存有動作的片段）或 active_objects（儲存有活動目標的片段）。" + } + } + }, + "export": { + "label": "匯出配置", + "description": "匯出錄影時使用的設定，如延時攝影和硬體加速。", + "hwaccel_args": { + "label": "匯出硬體加速引數", + "description": "用於匯出/轉碼操作的硬體加速引數。" + }, + "max_concurrent": { + "label": "最大併發匯出數", + "description": "同時可處理的最大匯出任務數量。" + } + }, + "preview": { + "label": "預覽配置", + "description": "控制介面中顯示的錄影預覽品質的設定。", + "quality": { + "label": "預覽品質", + "description": "預覽品質級別（very_low、low、medium、high、very_high）。" + } + }, + "enabled_in_config": { + "label": "原始錄影狀態", + "description": "指示原始靜態配置中是否啟用了錄影。" + }, + "description": "此攝影機的錄影和保留設定。" + }, + "review": { + "label": "審閱", + "alerts": { + "label": "警報配置", + "description": "哪些追蹤目標生成警報以及如何保留警報的設定。", + "enabled": { + "label": "開啟警報", + "description": "開啟或關閉此攝影機的警報生成。" + }, + "labels": { + "label": "警報標籤", + "description": "符合警報條件的目標標籤清單（例如：car、person）。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入才能被視為警報的區域；留空則允許任何區域。" + }, + "enabled_in_config": { + "label": "原始警報狀態", + "description": "追蹤原始靜態配置中是否啟用了警報。" + }, + "cutoff_time": { + "label": "警報截止時間", + "description": "在沒有引起警報的活動後等待多少秒後截止警報。" + } + }, + "detections": { + "label": "偵測配置", + "description": "用於設定哪些追蹤目標會生成偵測記錄（非警報類），以及偵測記錄的保留方式。", + "enabled": { + "label": "開啟偵測", + "description": "開啟或關閉此攝影機的偵測事件。" + }, + "labels": { + "label": "偵測標籤", + "description": "符合偵測事件條件的目標標籤清單。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入才能被視為偵測的區域；留空則允許任何區域。" + }, + "cutoff_time": { + "label": "偵測截止時間", + "description": "在沒有引起偵測的活動後等待多少秒後截止偵測。" + }, + "enabled_in_config": { + "label": "原始偵測狀態", + "description": "追蹤原始靜態配置中是否啟用了偵測。" + } + }, + "genai": { + "label": "生成式 AI 配置", + "description": "控制使用生成式 AI 為審閱項生成描述和摘要。", + "enabled": { + "label": "開啟生成式 AI 描述", + "description": "為審閱項開啟或關閉使用生成式 AI 生成描述和摘要。" + }, + "alerts": { + "label": "為警報開啟生成式 AI", + "description": "使用生成式 AI 為警報項生成描述。" + }, + "detections": { + "label": "為偵測開啟生成式 AI", + "description": "使用生成式 AI 為偵測項生成描述。" + }, + "image_source": { + "label": "審閱影像來源", + "description": "傳送給生成式 AI 的畫面來源（'preview' 或 'recordings'）；'recordings' 使用更高品質的畫面幀，但會消耗更多的 token。" + }, + "additional_concerns": { + "label": "額外關注事項", + "description": "生成式 AI 在分析此攝影機的監控行為時，需要額外注意的事項或說明清單。" + }, + "debug_save_thumbnails": { + "label": "儲存縮圖", + "description": "儲存傳送給生成式 AI 提供商的縮圖用於除錯和審閱。" + }, + "enabled_in_config": { + "label": "原配置生成式 AI 狀態", + "description": "記錄在靜態配置中最初是否已啟用生成式 AI 審閱功能。" + }, + "preferred_language": { + "label": "首選語言", + "description": "向生成式 AI 提供商請求生成回應的首選語言。" + }, + "activity_context_prompt": { + "label": "活動上下文提示", + "description": "自訂提示詞，用於說明可疑行為與非可疑行為的界定，為生成式 AI 生成摘要提供上下文依據。" + } + }, + "description": "控制此攝影機的警報、偵測和生成式 AI 審閱總結的設定，這些設定會被介面與儲存功能使用。" + }, + "snapshots": { + "label": "快照", + "enabled": { + "label": "開啟快照", + "description": "開啟或關閉此攝影機的快照儲存。" + }, + "timestamp": { + "label": "時間戳疊加", + "description": "在 API 生成的快照上疊加時間戳。" + }, + "bounding_box": { + "label": "邊界框疊加", + "description": "在 API 生成的快照上繪製追蹤目標的邊界框。" + }, + "crop": { + "label": "裁剪快照", + "description": "在 API 生成的快照裁剪到偵測到的目標邊界框。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入才能儲存快照的區域。" + }, + "height": { + "label": "快照高度", + "description": "將 API 生成的快照調整到的目標高度（像素）；留空則保持原始大小。" + }, + "retain": { + "label": "快照保留", + "description": "快照的保留設定，包括預設天數和按目標覆蓋。", + "default": { + "label": "預設保留", + "description": "保留快照的預設天數。" + }, + "mode": { + "label": "保留模式", + "description": "保留模式：all（儲存所有片段）、motion（儲存有動作的片段）或 active_objects（儲存有活動目標的片段）。" + }, + "objects": { + "label": "目標保留", + "description": "按目標覆蓋的快照保留天數。" + } + }, + "quality": { + "label": "快照品質", + "description": "儲存快照的編碼品質（0-100）。" + }, + "description": "此攝影機的追蹤目標 API 快照設定。" + }, + "timestamp_style": { + "label": "時間戳樣式", + "position": { + "label": "時間戳位置", + "description": "時間戳在影像上的位置（tl/tr/bl/br）。" + }, + "format": { + "label": "時間戳格式", + "description": "用於時間戳的日期時間格式字串（Python 日期時間格式程式碼）。" + }, + "color": { + "label": "時間戳顏色", + "description": "時間戳文字的 RGB 顏色值（所有值 0-255）。", + "red": { + "label": "紅色", + "description": "時間戳顏色的紅色分量（0-255）。" + }, + "green": { + "label": "綠色", + "description": "時間戳顏色的綠色分量（0-255）。" + }, + "blue": { + "label": "藍色", + "description": "時間戳顏色的藍色分量（0-255）。" + } + }, + "thickness": { + "label": "時間戳粗細", + "description": "時間戳文字的線條粗細。" + }, + "effect": { + "label": "時間戳效果", + "description": "時間戳文字的視覺效果（none、solid、shadow）。" + }, + "description": "應用於錄影和快照的即時監控流中時間戳的樣式選項。" + }, + "audio_transcription": { + "label": "音訊轉錄", + "description": "用於事件和即時字幕的即時和語音音訊轉錄設定。", + "live_enabled": { + "label": "即時監控轉寫", + "description": "在接收到音訊時開啟即時監控持續轉寫。" + }, + "enabled": { + "label": "開啟轉錄", + "description": "開啟或關閉手動觸發的音訊事件轉寫。" + }, + "enabled_in_config": { + "label": "原始轉寫狀態" + } + }, + "semantic_search": { + "label": "語意搜尋", + "triggers": { + "label": "觸發器", + "description": "攝影機特定語意搜尋觸發器的操作和匹配條件。", + "friendly_name": { + "label": "友好名稱", + "description": "在 UI 中為此觸發器顯示的可選友好名稱。" + }, + "enabled": { + "label": "開啟此觸發器", + "description": "啟用或停用此語意搜尋觸發器。" + }, + "type": { + "label": "觸發器型別", + "description": "觸發器型別：'thumbnail'（與影像匹配）或 'description'（與文字匹配）。" + }, + "data": { + "label": "觸發器內容", + "description": "要與追蹤目標匹配的文字短語或縮圖 ID。" + }, + "threshold": { + "label": "觸發器閾值", + "description": "啟用此觸發器所需的最小相似度分數（0-1）。" + }, + "actions": { + "label": "觸發器操作", + "description": "觸發器匹配時要執行的操作清單（通知、sub_label、屬性）。" + } + }, + "description": "語意搜尋設定，用於構建和查詢目標嵌入以查詢相似項目。" + }, + "face_recognition": { + "label": "人臉辨識", + "enabled": { + "label": "開啟人臉辨識", + "description": "開啟或關閉人臉辨識。" + }, + "min_area": { + "label": "最小人臉區域", + "description": "需要嘗試進行人臉辨識的人臉偵測框最小大小（像素）。" + }, + "description": "該攝影機的人臉偵測與辨識設定。" + }, + "lpr": { + "label": "車牌辨識", + "description": "車牌辨識設定，包括偵測閾值、格式化和已知車牌。", + "enabled": { + "label": "開啟車牌辨識", + "description": "在此攝影機上啟用或停用車牌辨識。" + }, + "min_area": { + "label": "最小車牌區域", + "description": "嘗試辨識所需的最小車牌區域（像素）。" + }, + "enhancement": { + "label": "增強級別", + "description": "在 OCR 之前應用於車牌裁剪的增強級別（0-10）；較高的值可能不總是改善結果，5 以上的級別可能僅適用於夜間車牌，應謹慎使用。" + }, + "expire_time": { + "label": "過期秒數", + "description": "未見到的車牌從追蹤器中過期的時間（秒）（僅適用於專用 LPR 攝影機）。" + } + }, + "profiles": { + "label": "設定檔", + "description": "可在執行時切換指定命名的設定檔，支援區域性覆蓋引數。" + }, + "onvif": { + "label": "ONVIF", + "description": "此攝影機的 ONVIF 連線和 PTZ 自動追蹤設定。", + "host": { + "label": "ONVIF 主機", + "description": "此攝影機 ONVIF 服務的主機（和可選協議）。" + }, + "port": { + "label": "ONVIF 埠", + "description": "ONVIF 服務的埠號。" + }, + "user": { + "label": "ONVIF 使用者名稱", + "description": "ONVIF 身份驗證的使用者名稱；某些裝置需要管理員使用者才能使用 ONVIF。" + }, + "password": { + "label": "ONVIF 密碼", + "description": "ONVIF 身份驗證的密碼。" + }, + "tls_insecure": { + "label": "停用 TLS 驗證", + "description": "跳過 TLS 驗證並停用 ONVIF 的摘要認證（不安全；僅用於安全網路）。" + }, + "profile": { + "label": "ONVIF 設定檔", + "description": "用於 PTZ 控制的指定 ONVIF 媒體配置，將透過 Token 或名稱匹配。如果未手動指定，將自動選擇第一個包含有效 PTZ 配置的媒體配置。" + }, + "autotracking": { + "label": "自動追蹤", + "description": "使用 PTZ 攝影機移動自動追蹤移動目標並使其保持在畫面中心。", + "enabled": { + "label": "開啟自動追蹤", + "description": "啟用或停用偵測目標的自動 PTZ 攝影機追蹤。" + }, + "calibrate_on_startup": { + "label": "啟動時校準", + "description": "在啟動時測量 PTZ 電機速度以提高追蹤精度。Frigate 將在校準後用 movement_weights 更新配置。" + }, + "zooming": { + "label": "變焦模式", + "description": "控制變焦行為：disabled（僅平移/傾斜）、absolute（最相容）或 relative（同時平移/傾斜/變焦）。" + }, + "zoom_factor": { + "label": "變焦因子", + "description": "控制追蹤目標的變焦級別。數值越低保持更多場景可見；數值越高放大更近但可能丟失追蹤。數值範圍 0.1 到 0.75。" + }, + "track": { + "label": "追蹤目標", + "description": "應觸發自動追蹤的目標型別清單。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入這些區域之一才能開始自動追蹤。" + }, + "return_preset": { + "label": "返回預設", + "description": "追蹤結束後返回的攝影機韌體中配置的 ONVIF 預設名稱。" + }, + "timeout": { + "label": "返回超時", + "description": "失去追蹤後等待多少秒後將攝影機返回到預設位置。" + }, + "movement_weights": { + "label": "移動權重", + "description": "由攝影機校準自動生成的校準值。請勿手動修改。" + }, + "enabled_in_config": { + "label": "原始自動追蹤狀態", + "description": "用於追蹤配置中是否啟用自動追蹤的內部欄位。" + } + }, + "ignore_time_mismatch": { + "label": "忽略時間不匹配", + "description": "忽略 ONVIF 通訊中攝影機和 Frigate 伺服器之間的時間同步差異。" + } + }, + "best_image_timeout": { + "label": "最佳影像超時", + "description": "等待具有最高置信度分數的影像的時間。" + }, + "type": { + "label": "攝影機型別", + "description": "攝影機型別" + }, + "ui": { + "label": "攝影機頁面", + "description": "此攝影機在頁面中的顯示順序和可見性。顯示順序僅影響預設儀表板。如需更精細的控制，請使用“攝影機組”。", + "order": { + "label": "UI 順序", + "description": "用於在頁面中排序攝影機的順序（只會影響預設儀表板和清單）；數值越大則在越後面。" + }, + "dashboard": { + "label": "在 UI 中顯示", + "description": "切換此攝影機在 Frigate 頁面的所有位置是否可見。停用此項將需要手動編輯配置才能在頁面中再次檢視此攝影機。" + } + }, + "webui_url": { + "label": "攝影機 URL", + "description": "從系統頁面直接存取攝影機管理後臺的 URL" + }, + "zones": { + "label": "區域", + "description": "區域允許您定義幀的特定區域，以便確定目標是否在特定區域內。", + "friendly_name": { + "label": "區域名稱", + "description": "區域的友好名稱，顯示在 Frigate UI 中。如果未設定，將使用區域名稱的格式化版本。" + }, + "enabled": { + "label": "開啟", + "description": "開啟或關閉此區域。停用的區域在執行時將被忽略。" + }, + "enabled_in_config": { + "label": "保持區域原始狀態的跟蹤。" + }, + "filters": { + "label": "區域過濾器", + "description": "應用於此區域內目標的過濾器。用於減少誤報或限制哪些目標被認為存在於區域內。", + "min_area": { + "label": "最小目標區域", + "description": "此目標型別所需的最小邊界框區域（像素或百分比）。可以是像素（整數）或百分比（0.000001 到 0.99 之間的浮點數）。" + }, + "max_area": { + "label": "最大目標區域", + "description": "此目標型別允許的最大邊界框區域（像素或百分比）。可以是像素（整數）或百分比（0.000001 到 0.99 之間的浮點數）。" + }, + "min_ratio": { + "label": "最小縱橫比", + "description": "邊界框所需的最小寬高比。" + }, + "max_ratio": { + "label": "最大縱橫比", + "description": "邊界框允許的最大寬高比。" + }, + "threshold": { + "label": "置信度閾值", + "description": "目標被視為真正陽性所需的平均偵測置信度閾值。" + }, + "min_score": { + "label": "最小置信度", + "description": "目標被計入所需的最小單幀偵測置信度。" + }, + "mask": { + "label": "過濾器遮罩", + "description": "定義此過濾器在幀內應用位置的多邊形座標。" + }, + "raw_mask": { + "label": "原始遮罩" + } + }, + "coordinates": { + "label": "座標", + "description": "定義區域區域的多邊形座標。可以是逗號分隔的字串或座標字串清單。座標應該是相對的（0-1）或絕對的（傳統）。" + }, + "distances": { + "label": "真實世界距離", + "description": "區域四邊形每邊的可選真實世界距離，用於速度或距離計算。如果設定，必須恰好有 4 個值。" + }, + "inertia": { + "label": "慣性幀數", + "description": "目標必須在區域內被連續偵測多少幀才能被認為存在。有助於過濾掉短暫偵測。" + }, + "loitering_time": { + "label": "徘徊秒數", + "description": "目標必須在區域內停留多少秒才能被視為徘徊。設定為 0 可停用徘徊偵測。" + }, + "speed_threshold": { + "label": "最小速度", + "description": "目標被認為存在於區域所需的最小速度（如果設定了距離，則為真實世界單位）。用於基於速度的區域觸發器。" + }, + "objects": { + "label": "觸發目標", + "description": "可以觸發此區域的目標型別清單（來自標籤對映）。可以是字串或字串清單。如果為空，則考慮所有目標。" + } + }, + "enabled_in_config": { + "label": "原始攝影機狀態", + "description": "保持攝影機的原始狀態跟蹤。" } } diff --git a/web/public/locales/zh-Hant/config/global.json b/web/public/locales/zh-Hant/config/global.json index 0f254ab830..1b973f1c2e 100644 --- a/web/public/locales/zh-Hant/config/global.json +++ b/web/public/locales/zh-Hant/config/global.json @@ -2,7 +2,8 @@ "audio": { "label": "音訊事件", "enabled": { - "label": "啟用音訊偵測" + "label": "啟用音訊偵測", + "description": "為所有攝影機啟用或停用音訊事件偵測；可按攝影機覆蓋。" }, "max_not_heard": { "label": "結束逾時", @@ -15,6 +16,1585 @@ "listen": { "label": "監聽的音訊類型", "description": "要偵測的音訊事件類型清單（例如：狗吠、火警、尖叫、說話、大叫）。" + }, + "description": "所有攝影機的基於音訊的事件偵測設定；可按攝影機覆蓋。", + "filters": { + "label": "音訊過濾器", + "description": "按音訊型別的過濾器設定，如用於減少誤報的置信度閾值。", + "threshold": { + "label": "最低音訊置信度", + "description": "音訊事件被計入的最低置信度閾值。" + } + }, + "enabled_in_config": { + "label": "原始音訊狀態", + "description": "指示原始靜態設定檔中是否開啟了音訊偵測。" + }, + "num_threads": { + "label": "偵測執行緒", + "description": "用於音訊偵測處理的執行緒數量。" + } + }, + "version": { + "label": "當前配置版本", + "description": "用於標識當前生效配置的版本號（數字或字串均可），幫助辨識配置遷移或格式是否發生變更。" + }, + "safe_mode": { + "label": "安全模式", + "description": "開啟後，Frigate 將以安全模式啟動，將會關閉部分功能，以便排查問題。" + }, + "environment_vars": { + "label": "環境變數", + "description": "用於在 Home Assistant OS 中為 Frigate 程序設定的環境變數。非 HAOS 使用者不能使用該配置項，而必須使用 Docker 的環境變數配置。" + }, + "logger": { + "label": "日誌", + "description": "控制預設日誌詳細程度，以及各元件的日誌級別覆蓋。", + "default": { + "label": "日誌等級", + "description": "預設全域性日誌詳細程度（除錯、資訊、警告、錯誤）。" + }, + "logs": { + "label": "單程序日誌級別", + "description": "按元件覆蓋日誌級別配置，用於提高或降低特定模組的日誌詳細程度。" + } + }, + "auth": { + "label": "身份驗證", + "description": "身份驗證和工作階段相關設定，包括 Cookie 和速率限制選項。", + "enabled": { + "label": "開啟身份驗證", + "description": "為 Frigate 頁面開啟原生身份驗證。" + }, + "reset_admin_password": { + "label": "重設管理員密碼", + "description": "開啟後，啟動時將重設管理員使用者密碼，並在日誌中列印新密碼。" + }, + "cookie_name": { + "label": "JWT Cookie 名稱", + "description": "用於儲存原生身份驗證 JWT 令牌的 Cookie 名稱。" + }, + "cookie_secure": { + "label": "安全 Cookie 標誌", + "description": "在身份驗證 Cookie 上設定安全標誌；使用 TLS 時應啟用此選項。" + }, + "session_length": { + "label": "工作階段時長", + "description": "基於 JWT 的工作階段持續時間（秒）。" + }, + "refresh_time": { + "label": "工作階段重新整理視窗", + "description": "當工作階段距離過期時間在此秒數範圍內時，將工作階段重新整理回完整時長。" + }, + "failed_login_rate_limit": { + "label": "登入失敗限制", + "description": "用於限制登入失敗嘗試次數的規則，以減少暴力破解攻擊。" + }, + "trusted_proxies": { + "label": "受信任的代理", + "description": "用於確定客戶端 IP 以進行速率限制的受信任代理 IP 清單。" + }, + "hash_iterations": { + "label": "雜湊迭代次數", + "description": "對使用者密碼進行雜湊處理時使用的 PBKDF2-SHA256 迭代次數。" + }, + "roles": { + "label": "權限組對映", + "description": "將權限組對映到攝影機清單。空清單表示該權限組可以存取所有攝影機。" + }, + "admin_first_time_login": { + "label": "管理員首次登入標誌", + "description": "啟用後，UI 可能會在登入頁面顯示幫助連結，告知使用者如何在管理員密碼重設後登入。 " + } + }, + "database": { + "label": "資料庫", + "description": "Frigate 用於儲存追蹤目標和錄影元資料的 SQLite 資料庫設定。", + "path": { + "label": "資料庫路徑", + "description": "Frigate SQLite 資料庫檔案的儲存路徑。" + } + }, + "go2rtc": { + "label": "go2rtc", + "description": "整合的 go2rtc 轉發服務設定，用於即時監控流轉發和轉碼。" + }, + "mqtt": { + "label": "MQTT", + "description": "連線到 MQTT 代理併發布遙測資料、快照和事件詳情的設定。", + "enabled": { + "label": "開啟 MQTT", + "description": "啟用或停用 MQTT 整合，用於狀態、事件和快照。" + }, + "host": { + "label": "MQTT 主機", + "description": "MQTT 代理的主機名或 IP 地址。" + }, + "port": { + "label": "MQTT 埠", + "description": "MQTT 代理的埠（普通 MQTT 通常為 1883）。" + }, + "topic_prefix": { + "label": "主題字首", + "description": "所有 Frigate 主題的 MQTT 主題字首；如果執行多個例項，必須唯一。" + }, + "client_id": { + "label": "客戶端 ID", + "description": "連線到 MQTT 代理時使用的客戶端辨識符號；每個例項應該唯一。" + }, + "stats_interval": { + "label": "統計資訊間隔", + "description": "向 MQTT 釋出系統和攝影機統計資訊的時間間隔（秒）。" + }, + "user": { + "label": "MQTT 使用者名稱", + "description": "可選的 MQTT 使用者名稱；可以透過環境變數或金鑰提供。" + }, + "password": { + "label": "MQTT 密碼", + "description": "可選的 MQTT 密碼；可以透過環境變數或金鑰提供。" + }, + "tls_ca_certs": { + "label": "TLS CA 證書", + "description": "用於 TLS 連線到代理的 CA 證書路徑（用於自簽名證書）。" + }, + "tls_client_cert": { + "label": "客戶端證書", + "description": "TLS 雙向認證的客戶端證書路徑；使用客戶端證書時不要設定使用者名稱/密碼。" + }, + "tls_client_key": { + "label": "客戶端金鑰", + "description": "客戶端證書的私鑰路徑。" + }, + "tls_insecure": { + "label": "TLS 不安全連線", + "description": "透過跳過主機名驗證允許不安全的 TLS 連線（不推薦）。" + }, + "qos": { + "label": "MQTT QoS", + "description": "MQTT 釋出/訂閱的服務品質級別（0、1 或 2）。" + } + }, + "notifications": { + "label": "通知", + "description": "為所有攝影機啟用和控制通知的設定；可按攝影機覆蓋。", + "enabled": { + "label": "開啟通知", + "description": "為所有攝影機啟用或停用通知；可按攝影機覆蓋。" + }, + "email": { + "label": "通知郵箱", + "description": "用於推送通知或某些通知提供商要求的郵箱地址。" + }, + "cooldown": { + "label": "冷卻時間", + "description": "通知之間的冷卻時間（秒），以避免向收件人傳送垃圾資訊。" + }, + "enabled_in_config": { + "label": "原始通知狀態", + "description": "指示原始靜態配置中是否啟用了通知。" + } + }, + "networking": { + "label": "網路", + "description": "網路相關設定，如 Frigate 端點的 IPv6 啟用。", + "ipv6": { + "label": "IPv6 配置", + "description": "Frigate 網路服務的 IPv6 特定設定。", + "enabled": { + "label": "開啟 IPv6", + "description": "在適用的情況下為 Frigate 服務（API 和 UI）啟用 IPv6 支援。" + } + }, + "listen": { + "label": "監聽埠配置", + "description": "內部和外部監聽埠的配置。此選項適用於高階使用者。對於大多數用例，建議在 Docker compose 檔案的 ports 部分進行更改。", + "internal": { + "label": "內部埠", + "description": "Frigate 的內部監聽埠（預設 5000）。" + }, + "external": { + "label": "外部埠", + "description": "Frigate 的外部監聽埠（預設 8971）。" + } + } + }, + "proxy": { + "label": "代理", + "description": "用於將 Frigate 整合到傳遞已認證使用者頭的反向代理後面的設定。", + "header_map": { + "label": "請求頭對映", + "description": "將傳入的代理請求頭對映到 Frigate 使用者和權限組欄位，用於基於代理的身份驗證。", + "user": { + "label": "使用者請求頭", + "description": "包含上游代理提供的已認證使用者名稱的請求頭。" + }, + "role": { + "label": "權限組請求頭", + "description": "包含來自上游代理的已認證使用者權限組或使用者組的請求頭。" + }, + "role_map": { + "label": "權限組對映", + "description": "將上游組值對映到 Frigate 權限組（例如將管理員組對映到管理員權限組）。" + } + }, + "logout_url": { + "label": "登出 URL", + "description": "透過代理登出時重定向使用者的 URL。" + }, + "auth_secret": { + "label": "代理金鑰", + "description": "與 X-Proxy-Secret 請求頭進行比對的可選金鑰，用於驗證受信任的代理。" + }, + "default_role": { + "label": "預設權限組", + "description": "當沒有權限組對映適用時分配給代理認證使用者的預設權限組（admin 或 viewer）。" + }, + "separator": { + "label": "分隔符", + "description": "用於分割代理請求頭中多個值的字元。" + } + }, + "telemetry": { + "label": "遙測", + "description": "系統遙測和統計選項，包括 GPU 和網路頻寬監控。", + "network_interfaces": { + "label": "網路介面", + "description": "要監控頻寬統計資訊的網路介面名稱字首清單。" + }, + "stats": { + "label": "系統統計", + "description": "用於啟用/停用各種系統和 GPU 統計資訊收集的選項。", + "amd_gpu_stats": { + "label": "AMD GPU 統計", + "description": "如果存在 AMD GPU，則啟用 AMD GPU 統計資訊收集。" + }, + "intel_gpu_stats": { + "label": "Intel GPU 統計", + "description": "如果存在 Intel GPU，則啟用 Intel GPU 統計資訊收集。" + }, + "network_bandwidth": { + "label": "網路頻寬", + "description": "為攝影機 ffmpeg 程序和偵測器啟用按程序網路頻寬監控（需要權限）。" + }, + "intel_gpu_device": { + "label": "Intel GPU 裝置", + "description": "當系統存在多個 Intel 顯示卡時，用於將顯示卡執行資料繫結到指定裝置的 PCI 匯流排地址或 DRM 裝置路徑（示例：/dev/dri/card1）。" + } + }, + "version_check": { + "label": "版本檢查", + "description": "啟用出站檢查以偵測是否有更新版本的 Frigate 可用。" + } + }, + "tls": { + "label": "TLS", + "description": "Frigate Web 端點（埠 8971）的 TLS 設定。", + "enabled": { + "label": "開啟 TLS", + "description": "為 Frigate 的網頁頁面和 API 的埠開啟 TLS 加密。" + } + }, + "ui": { + "label": "使用者介面", + "description": "使用者介面偏好設定，如時區、時間/日期格式和單位。", + "timezone": { + "label": "時區", + "description": "UI 中顯示的可選時區（如果未設定，則預設為瀏覽器本地時間）。" + }, + "time_format": { + "label": "時間格式", + "description": "UI 中使用的時間格式（browser、12hour 或 24hour）。" + }, + "date_style": { + "label": "日期樣式", + "description": "UI 中使用的日期樣式（full、long、medium、short）。" + }, + "time_style": { + "label": "時間樣式", + "description": "UI 中使用的時間樣式（full、long、medium、short）。" + }, + "unit_system": { + "label": "單位系統", + "description": "UI 和 MQTT 中使用的顯示單位系統（公制或英制）。" + } + }, + "detectors": { + "label": "偵測器硬體", + "description": "目標偵測器（CPU、GPU、ONNX 後端）的配置以及任何偵測器特定的模型設定。", + "type": { + "label": "型別" + }, + "model": { + "label": "偵測器特定的模型配置", + "description": "偵測器特定的模型配置選項（路徑、輸入尺寸等）。", + "path": { + "label": "自訂目標偵測模型路徑", + "description": "自訂偵測模型檔案的路徑（或使用 plus:// 指定 Frigate+ 模型）。" + }, + "labelmap_path": { + "label": "自訂目標偵測器的標籤對映（labelmap）", + "description": "偵測器標籤對映檔案（labelmap）路徑，用於將數字類別對映為文字標籤。" + }, + "width": { + "label": "目標偵測模型輸入寬度", + "description": "模型輸入張量（input tensor）的寬度（以像素為單位）。" + }, + "height": { + "label": "目標偵測模型輸入高度", + "description": "模型輸入張量（input tensor）的高度（以像素為單位）。" + }, + "labelmap": { + "label": "標籤對映（labelmap）自訂", + "description": "合併到標準標籤對映表中的覆蓋 / 重對映規則。" + }, + "attributes_map": { + "label": "目標標籤到其屬性標籤的對映", + "description": "用於繫結元資料的目標標籤 → 屬性標籤對映關係（例如：'car'→ ['license_plate'] 為將車牌屬性繫結到車輛上）。" + }, + "input_tensor": { + "label": "模型輸入張量形狀", + "description": "模型期望的張量格式（Tensor format）：'nhwc' 或 'nchw'。" + }, + "input_pixel_format": { + "label": "模型輸入像素顏色格式", + "description": "模型期望的像素顏色空間：'rgb'、'bgr' 或 'yuv'。" + }, + "input_dtype": { + "label": "模型輸入資料型別", + "description": "模型輸入張量的資料型別（例如 'float32'）。" + }, + "model_type": { + "label": "目標偵測模型型別", + "description": "某些偵測器用於最佳化的偵測器模型架構型別（ssd、yolox、yolonas）。" + } + }, + "model_path": { + "label": "偵測器專用模型路徑", + "description": "所選偵測器需要時，需填寫其模型檔案的路徑。" + }, + "axengine": { + "label": "愛芯元智 NPU", + "description": "AXERA AX650N/AX8850N NPU 偵測器，透過 AXEngine 執行庫載入並執行編譯後的 .axmodel 模型檔案。" + }, + "cpu": { + "label": "CPU", + "description": "在主機 CPU 上執行 TensorFlow Lite 模型的 CPU TFLite 偵測器，無硬體加速。不推薦使用。", + "num_threads": { + "label": "偵測執行緒數", + "description": "用於基於 CPU 的推理的執行緒數。" + } + }, + "deepstack": { + "label": "DeepStack", + "description": "將影像傳送到遠端 DeepStack HTTP API 進行推理的 DeepStack/CodeProject.AI 偵測器。不推薦使用。", + "api_url": { + "label": "DeepStack API URL", + "description": "DeepStack API 的 URL。" + }, + "api_timeout": { + "label": "DeepStack API 超時時間（秒）", + "description": "DeepStack API 請求允許的最長時間。" + }, + "api_key": { + "label": "DeepStack API 金鑰（如需要）", + "description": "用於認證 DeepStack 服務的可選 API 金鑰。" + } + }, + "degirum": { + "label": "DeGirum", + "description": "透過 DeGirum 雲或本地推理服務執行模型的 DeGirum 偵測器。", + "location": { + "label": "推理位置", + "description": "DeGirum 推理引擎的位置（例如 '@cloud'、'127.0.0.1'）。" + }, + "zoo": { + "label": "模型庫", + "description": "DeGirum 模型庫的路徑或 URL。" + }, + "token": { + "label": "DeGirum 雲令牌", + "description": "用於 DeGirum 雲存取的令牌。" + } + }, + "edgetpu": { + "label": "EdgeTPU", + "description": "使用 EdgeTPU 委託執行為 Coral EdgeTPU 編譯的 TensorFlow Lite 模型的 EdgeTPU 偵測器。", + "device": { + "label": "裝置型別", + "description": "用於 EdgeTPU 推理的裝置（例如 'usb'、'pci'）。" + } + }, + "hailo8l": { + "label": "Hailo-8/Hailo-8L", + "description": "使用 HEF 模型和 HailoRT SDK 在 Hailo 硬體上進行推理的 Hailo-8/Hailo-8L 偵測器。", + "device": { + "label": "裝置型別", + "description": "用於 Hailo 推理的裝置（例如 'PCIe'、'M.2'）。" + } + }, + "memryx": { + "label": "MemryX", + "description": "在 MemryX 加速器上執行編譯的 DFP 模型的 MemryX MX3 偵測器。", + "device": { + "label": "裝置路徑", + "description": "用於 MemryX 推理的裝置（例如 'PCIe'）。" + } + }, + "onnx": { + "label": "ONNX", + "description": "執行 ONNX 模型的 ONNX 偵測器；當可用時將使用可用的加速後端（CUDA/ROCm/OpenVINO）。", + "device": { + "label": "裝置型別", + "description": "用於 ONNX 推理的裝置（例如 'AUTO'、'CPU'、'GPU'）。" + } + }, + "openvino": { + "label": "OpenVINO", + "description": "適用於 AMD 和 Intel CPU、Intel GPU 和 Intel VPU 硬體的 OpenVINO 偵測器。", + "device": { + "label": "裝置型別", + "description": "用於 OpenVINO 推理的裝置（例如 'CPU'、'GPU'、'NPU'）。" + } + }, + "rknn": { + "label": "RKNN", + "description": "用於 Rockchip NPU 的 RKNN 偵測器；在 Rockchip 硬體上執行編譯的 RKNN 模型。", + "num_cores": { + "label": "使用的 NPU 核心數。", + "description": "要使用的 NPU 核心數（0 表示自動）。" + } + }, + "synaptics": { + "label": "Synaptics", + "description": "使用 Synap SDK 在 Synaptics 硬體上執行 .synap 格式模型的 Synaptics NPU 偵測器。" + }, + "teflon_tfl": { + "label": "Teflon", + "description": "使用 Mesa Teflon 委託庫在支援的 GPU 上加速推理的 TFLite Teflon 委託偵測器。" + }, + "tensorrt": { + "label": "TensorRT", + "description": "使用序列化的 TensorRT 引擎進行加速推理的 Nvidia Jetson 裝置 TensorRT 偵測器。", + "device": { + "label": "GPU 裝置索引", + "description": "要使用的 GPU 裝置索引。" + } + }, + "zmq": { + "label": "ZMQ IPC", + "description": "透過 ZeroMQ IPC 端點將推理解除安裝到外部程序的 ZMQ IPC 偵測器。", + "endpoint": { + "label": "ZMQ IPC 端點", + "description": "要連線的 ZMQ 端點。" + }, + "request_timeout_ms": { + "label": "ZMQ 請求超時（毫秒）", + "description": "ZMQ 請求的超時時間（毫秒）。" + }, + "linger_ms": { + "label": "ZMQ 套接字逗留時間（毫秒）", + "description": "套接字逗留時間（毫秒）。" + } + } + }, + "model": { + "label": "偵測模型", + "description": "用於配置自訂目標偵測模型及其輸入形狀的設定。", + "path": { + "label": "自訂目標偵測模型路徑", + "description": "自訂偵測模型檔案的路徑（或 Frigate+ 模型的 plus://）。" + }, + "labelmap_path": { + "label": "自訂目標偵測器的標籤對映", + "description": "將數字類別對映到偵測器字串標籤的標籤對映檔案路徑。" + }, + "width": { + "label": "目標偵測模型輸入寬度", + "description": "模型輸入張量的寬度（像素）。" + }, + "height": { + "label": "目標偵測模型輸入高度", + "description": "模型輸入張量的高度（像素）。" + }, + "labelmap": { + "label": "標籤對映自訂", + "description": "要合併到標準標籤對映中的覆蓋或重對映條目。" + }, + "attributes_map": { + "label": "目標標籤到屬性標籤的對映", + "description": "從目標標籤到屬性標籤的對映，用於附加元資料（例如 'car' -> ['license_plate']）。" + }, + "input_tensor": { + "label": "模型輸入張量形狀", + "description": "模型期望的張量格式：'nhwc' 或 'nchw'。" + }, + "input_pixel_format": { + "label": "模型輸入像素顏色格式", + "description": "模型期望的像素色彩空間：'rgb'、'bgr' 或 'yuv'。" + }, + "input_dtype": { + "label": "模型輸入資料型別", + "description": "模型輸入張量的資料型別（例如 'float32'）。" + }, + "model_type": { + "label": "目標偵測模型型別", + "description": "某些偵測器用於最佳化的偵測器模型架構型別（ssd、yolox、yolonas）。" + } + }, + "genai": { + "label": "生成式 AI 配置", + "description": "用於生成目標描述和審閱摘要的整合生成式 AI 提供商設定。", + "api_key": { + "label": "API 金鑰", + "description": "某些提供商要求的 API 金鑰（也可以透過環境變數設定）。" + }, + "base_url": { + "label": "基礎 URL", + "description": "自託管或相容提供商的基礎 URL（例如 Ollama 例項）。" + }, + "model": { + "label": "模型", + "description": "用於生成描述或摘要的提供商模型。" + }, + "provider": { + "label": "提供商", + "description": "要使用的生成式 AI 提供商（例如：ollama、gemini、openai 等。國產大模型廠商可使用 openai 介面）。" + }, + "roles": { + "label": "功能", + "description": "生成式 AI 功能（對話、描述、嵌入）；每個功能單獨一個提供商。" + }, + "provider_options": { + "label": "提供商選項", + "description": "要傳遞給生成式 AI 客戶端的、與服務提供商相關的額外配置項。" + }, + "runtime_options": { + "label": "執行時選項", + "description": "每次推理呼叫時傳遞給提供商的執行時選項。" + } + }, + "birdseye": { + "label": "鳥瞰圖", + "description": "將多路攝影機畫面合併為統一佈局的鳥瞰合成檢視設定。", + "enabled": { + "label": "開啟鳥瞰圖", + "description": "開啟或關閉鳥瞰圖功能。" + }, + "mode": { + "label": "追蹤模式", + "description": "在鳥瞰檢視中包含攝影機的模式：'objects'（目標）、'motion'（動作）或 'continuous'（持續）。" + }, + "restream": { + "label": "轉發 RTSP", + "description": "將鳥瞰圖輸出作為 RTSP 流重新轉發；啟用此功能將使鳥瞰圖持續執行。" + }, + "width": { + "label": "寬度", + "description": "合成的鳥瞰幀的輸出寬度（像素）。" + }, + "height": { + "label": "高度", + "description": "合成的鳥瞰幀的輸出高度（像素）。" + }, + "quality": { + "label": "編碼品質", + "description": "鳥瞰圖 mpeg1 流的編碼品質（1 最高品質，31 最低）。" + }, + "inactivity_threshold": { + "label": "非活動閾值", + "description": "攝影機停止在鳥瞰圖中顯示的非活動秒數。" + }, + "layout": { + "label": "佈局", + "description": "鳥瞰圖合成的佈局選項。", + "scaling_factor": { + "label": "縮放因子", + "description": "佈局計算器使用的縮放因子（範圍 1.0 到 5.0）。" + }, + "max_cameras": { + "label": "最大攝影機數", + "description": "鳥瞰圖中同時顯示的最大攝影機數量；顯示最近的攝影機。" + } + }, + "idle_heartbeat_fps": { + "label": "空閒心跳 FPS", + "description": "空閒時重新發送最後一個合成鳥瞰幀的每秒幀數；設為 0 則停用。" + }, + "order": { + "label": "排序位置", + "description": "用於控制攝影機在鳥瞰檢視佈局中排序位置的數值。" + } + }, + "detect": { + "label": "目標偵測", + "description": "用於執行目標偵測、初始化追蹤器的偵測模組設定。", + "enabled": { + "label": "開啟目標偵測", + "description": "為所有攝影機啟用或停用目標偵測，可按攝影機覆蓋。" + }, + "height": { + "label": "偵測畫面高度", + "description": "用於配置偵測流的畫面高度（像素）；留空則使用原始影片流解析度。" + }, + "width": { + "label": "偵測畫面寬度", + "description": "用於配置偵測流的畫面寬度（像素）；留空則使用原始影片流解析度。" + }, + "fps": { + "label": "偵測幀率", + "description": "偵測時希望使用的幀率；數值越低，CPU 佔用越小（推薦值為 5，僅在追蹤極高速運動的目標時才設定更高數值，最高不建議超過 10）。" + }, + "min_initialized": { + "label": "最小初始化幀數", + "description": "建立追蹤目標前，需要連續偵測到目標的次數。數值越大，錯誤觸發的追蹤越少。預設值為幀率除以 2。" + }, + "max_disappeared": { + "label": "最大消失幀數", + "description": "追蹤目標在連續多少幀未被偵測到時，將被判定為已消失。" + }, + "stationary": { + "label": "靜止目標配置", + "description": "用於偵測和管理長時間靜止目標的相關設定。", + "interval": { + "label": "靜止間隔", + "description": "設定每隔多少幀執行一次偵測，用於確認目標是否處於靜止狀態。" + }, + "threshold": { + "label": "靜止閾值", + "description": "目標需要連續多少幀位置不變，才會被標記為靜止狀態。" + }, + "max_frames": { + "label": "最大幀數", + "description": "限制靜止目標最大追蹤時長（以幀數為單位），超過將會停止追蹤。", + "default": { + "label": "預設最大幀數", + "description": "停止追蹤前，用於追蹤靜止目標的預設最大幀數。" + }, + "objects": { + "label": "目標最大幀數", + "description": "可對不同型別目標分別設定靜止追蹤的最大幀數（覆蓋全域性設定）。" + } + }, + "classifier": { + "label": "開啟視覺分類器", + "description": "使用視覺分類器，即使偵測框有輕微抖動，也能準確判斷物體是否為靜止。" + } + }, + "annotation_offset": { + "label": "標記偏移量", + "description": "偵測標記的時間偏移量（毫秒），用於讓時間軸上的偵測框與錄影畫面更精準對齊；可設定為正數或負數。" + } + }, + "ffmpeg": { + "label": "FFmpeg", + "description": "FFmpeg 編解碼相關設定，包含可執行檔案路徑、命令列引數、硬體加速選項，以及按不同功能劃分的輸出引數。", + "path": { + "label": "FFmpeg 路徑", + "description": "要使用的 FFmpeg 可執行檔案路徑，或版本別名（如 \"5.0\" 或 \"7.0\"）。" + }, + "global_args": { + "label": "FFmpeg 全域性引數", + "description": "傳遞給 FFmpeg 程序的全域性引數。" + }, + "hwaccel_args": { + "label": "硬體加速引數", + "description": "用於 FFmpeg 的硬體加速引數。建議使用對應硬體廠商的預設配置。" + }, + "input_args": { + "label": "輸入引數", + "description": "應用於 FFmpeg 輸入影片流的輸入引數。" + }, + "output_args": { + "label": "輸出引數", + "description": "用於不同 FFmpeg 功能（如偵測、錄製）的預設輸出引數。", + "detect": { + "label": "偵測輸出引數", + "description": "偵測功能影片流的預設輸出引數。" + }, + "record": { + "label": "錄製輸出引數", + "description": "錄製功能影片流的預設輸出引數。" + } + }, + "retry_interval": { + "label": "FFmpeg 重試時間", + "description": "攝影機影片流異常斷開後，重新連線前的等待時間。預設為 10 秒。" + }, + "apple_compatibility": { + "label": "Apple 相容性", + "description": "錄製 H.265 影片時啟用 HEVC 標記，以提升對 Apple 裝置播放的相容性。" + }, + "gpu": { + "label": "GPU 索引", + "description": "在啟用硬體加速時，預設使用的 GPU 索引。" + }, + "inputs": { + "label": "攝影機輸入影片流", + "description": "該攝影機的所有輸入流配置清單（包含路徑和功能）。", + "path": { + "label": "輸入路徑", + "description": "攝影機輸入影片流的地址或路徑。" + }, + "roles": { + "label": "輸入流功能", + "description": "定義該影片流的功能。" + }, + "global_args": { + "label": "FFmpeg 全域性引數", + "description": "該輸入影片流使用的 FFmpeg 全域性通用引數。" + }, + "hwaccel_args": { + "label": "硬體加速引數", + "description": "該輸入影片流的硬體加速引數。" + }, + "input_args": { + "label": "輸入引數", + "description": "該影片流特定的輸入引數。" + } + } + }, + "live": { + "label": "即時監控觀看", + "description": "用於控制 JSMPEG 即時流解析度與畫質的設定。此設定不影響使用 go2rtc 進行即時預覽的攝影機。", + "streams": { + "label": "即時監控流名稱", + "description": "配置的流名稱到用於即時監控播放的 restream/go2rtc 名稱的對映。" + }, + "height": { + "label": "即時監控高度", + "description": "在網頁頁面中渲染 jsmpeg 即時監控流的高度（像素）；必須小於等於偵測流高度。" + }, + "quality": { + "label": "即時監控品質", + "description": "jsmpeg 流的編碼品質（1 最高，31 最低）。" + } + }, + "motion": { + "label": "畫面變動偵測", + "description": "應用於攝影機的預設動作偵測設定，除非按攝影機覆蓋。", + "enabled": { + "label": "開啟畫面變動偵測", + "description": "為所有攝影機啟用或停用動作偵測；可按攝影機覆蓋。" + }, + "threshold": { + "label": "畫面變動閾值", + "description": "畫面變動偵測器使用的像素差異閾值；數值越高靈敏度越低（範圍 1-255）。" + }, + "lightning_threshold": { + "label": "閃電閾值", + "description": "用於偵測和忽略短暫閃電閃爍的閾值（數值越低越敏感，範圍 0.3 到 1.0）。這不會完全阻止畫面變動偵測；只是當超過閾值時偵測器會停止分析額外的幀。在此類事件期間仍會建立基於畫面變動的錄影。" + }, + "skip_motion_threshold": { + "label": "跳過畫面變動閾值", + "description": "如果單幀中畫面變化超過此比例，偵測器將判定為無畫面變動並立即重新校準。這可以節省 CPU 並減少閃電、風暴等情況下的誤報，但也可能會錯過真正的事件，如 PTZ 攝影機自動追蹤目標。你需要權衡取捨：是否犧牲少量錄製片段，換取更少無效影片與更低的誤檢。保持為空即可關閉該功能。" + }, + "improve_contrast": { + "label": "改善對比度", + "description": "在畫面變動分析之前對幀應用對比度改善以幫助偵測。" + }, + "contour_area": { + "label": "輪廓區域", + "description": "畫面變動輪廓被計入所需的最小輪廓區域（像素）。" + }, + "delta_alpha": { + "label": "Delta alpha", + "description": "用於畫面變動計算的幀差異中使用的 alpha 混合因子。" + }, + "frame_alpha": { + "label": "畫面 alpha 通道", + "description": "畫面變動預處理時混合畫面所使用的 alpha 值。" + }, + "frame_height": { + "label": "畫面高度", + "description": "計算畫面變動時縮放畫面的高度（像素）。" + }, + "mask": { + "label": "遮罩座標", + "description": "定義用於包含/排除區域的畫面變動遮罩多邊形的有序 x,y 座標。" + }, + "mqtt_off_delay": { + "label": "MQTT 關閉延遲", + "description": "在釋出 MQTT 'off' 狀態之前，最後一次畫面變動後等待的秒數。" + }, + "enabled_in_config": { + "label": "原始畫面變動狀態", + "description": "指示原始靜態配置中是否啟用了畫面變動偵測。" + }, + "raw_mask": { + "label": "原始遮罩" + } + }, + "objects": { + "label": "目標", + "description": "目標追蹤預設設定，包括要追蹤的標籤和按目標的過濾器。", + "track": { + "label": "要追蹤的目標", + "description": "所有攝影機要追蹤的目標標籤清單；可按攝影機覆蓋。" + }, + "filters": { + "label": "目標過濾器", + "description": "應用於偵測到的目標以減少誤報的過濾器（區域、比例、置信度）。", + "min_area": { + "label": "最小目標區域", + "description": "此目標型別所需的最小邊界框區域（像素或百分比）。可以是像素（整數）或百分比（0.000001 到 0.99 之間的浮點數）。" + }, + "max_area": { + "label": "最大目標區域", + "description": "此目標型別允許的最大邊界框區域（像素或百分比）。可以是像素（整數）或百分比（0.000001 到 0.99 之間的浮點數）。" + }, + "min_ratio": { + "label": "最小縱橫比", + "description": "邊界框所需的最小寬高比。" + }, + "max_ratio": { + "label": "最大縱橫比", + "description": "邊界框允許的最大寬高比。" + }, + "threshold": { + "label": "置信度閾值", + "description": "目標被視為真正陽性所需的平均偵測置信度閾值。" + }, + "min_score": { + "label": "最小置信度", + "description": "目標被計入所需的最小單幀偵測置信度。" + }, + "mask": { + "label": "過濾器遮罩", + "description": "定義此過濾器在幀內應用位置的多邊形座標。" + }, + "raw_mask": { + "label": "原始遮罩" + } + }, + "mask": { + "label": "目標遮罩", + "description": "用於防止在指定區域進行目標偵測的遮罩多邊形。" + }, + "raw_mask": { + "label": "原始遮罩" + }, + "genai": { + "label": "生成式 AI 目標配置", + "description": "用於傳送畫面給生成式 AI 進行生成和描述追蹤目標的選項。", + "enabled": { + "label": "開啟生成式 AI", + "description": "預設開啟生成式 AI 生成追蹤目標的描述。" + }, + "use_snapshot": { + "label": "使用快照", + "description": "使用目標快照而不是縮圖給生成式 AI 進行描述生成。" + }, + "prompt": { + "label": "字幕提示", + "description": "使用生成式 AI 生成描述時使用的預設提示模板。" + }, + "object_prompts": { + "label": "目標提示", + "description": "按目標設定提示詞，讓生成式 AI 對不同標籤的輸出進行定製。" + }, + "objects": { + "label": "生成式 AI 目標", + "description": "預設傳送給生成式 AI 的目標標籤清單。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入這些區域，才會觸發生成式 AI 描述生成。" + }, + "debug_save_thumbnails": { + "label": "儲存縮圖", + "description": "儲存傳送給生成式 AI 的縮圖用於除錯和審閱。" + }, + "send_triggers": { + "label": "生成式 AI 觸發器", + "description": "定義畫面幀應在何時傳送給生成式 AI（如偵測結束時、更新後等）。", + "tracked_object_end": { + "label": "結束時傳送", + "description": "目標追蹤結束時向生成式 AI 傳送請求。" + }, + "after_significant_updates": { + "label": "生成式 AI 提前觸發", + "description": "在追蹤目標發生指定次數的重要變化後，向生成式 AI 傳送請求。" + } + }, + "enabled_in_config": { + "label": "原配置生成式 AI 狀態", + "description": "表示在原始靜態配置中是否已啟用生成式 AI。" + } + } + }, + "record": { + "label": "錄影", + "description": "應用於攝影機的錄影和保留設定，除非按攝影機覆蓋。", + "enabled": { + "label": "開啟錄影", + "description": "為所有攝影機啟用或停用錄影；可按攝影機覆蓋。" + }, + "expire_interval": { + "label": "錄影清理間隔", + "description": "清理過期錄影片段的間隔分鐘數。" + }, + "continuous": { + "label": "持續保留", + "description": "無論是否有追蹤目標或動作，保留錄影的天數。如果只想保留警報和偵測的錄影，請設定為 0。", + "days": { + "label": "保留天數", + "description": "保留錄影的天數。" + } + }, + "motion": { + "label": "動作保留", + "description": "無論是否有追蹤目標，由動作觸發的錄影保留天數。如果只想保留警報和偵測的錄影，請設定為 0。", + "days": { + "label": "保留天數", + "description": "保留錄影的天數。" + } + }, + "detections": { + "label": "偵測保留", + "description": "偵測事件的錄影保留設定，包括前後捕獲時長。", + "pre_capture": { + "label": "前捕獲秒數", + "description": "偵測事件之前包含在錄影中的秒數。" + }, + "post_capture": { + "label": "後捕獲秒數", + "description": "偵測事件之後包含在錄影中的秒數。" + }, + "retain": { + "label": "事件保留", + "description": "偵測事件錄影的保留設定。", + "days": { + "label": "保留天數", + "description": "保留偵測事件錄影的天數。" + }, + "mode": { + "label": "保留模式", + "description": "保留模式：all（儲存所有片段）、motion（儲存有動作的片段）或 active_objects（儲存有活動目標的片段）。" + } + } + }, + "alerts": { + "label": "警報保留", + "description": "警報事件的錄影保留設定，包括前後捕獲時長。", + "pre_capture": { + "label": "前捕獲秒數", + "description": "偵測事件之前包含在錄影中的秒數。" + }, + "post_capture": { + "label": "後捕獲秒數", + "description": "偵測事件之後包含在錄影中的秒數。" + }, + "retain": { + "label": "事件保留", + "description": "偵測事件錄影的保留設定。", + "days": { + "label": "保留天數", + "description": "保留偵測事件錄影的天數。" + }, + "mode": { + "label": "保留模式", + "description": "保留模式：all（儲存所有片段）、motion（儲存有動作的片段）或 active_objects（儲存有活動目標的片段）。" + } + } + }, + "export": { + "label": "匯出配置", + "description": "匯出錄影時使用的設定，如延時攝影和硬體加速。", + "hwaccel_args": { + "label": "匯出硬體加速引數", + "description": "用於匯出/轉碼操作的硬體加速引數。" + }, + "max_concurrent": { + "label": "最大併發匯出數", + "description": "同時可處理的最大匯出任務數量。" + } + }, + "preview": { + "label": "預覽配置", + "description": "控制介面中顯示的錄影預覽品質的設定。", + "quality": { + "label": "預覽品質", + "description": "預覽品質級別（very_low、low、medium、high、very_high）。" + } + }, + "enabled_in_config": { + "label": "原始錄影狀態", + "description": "指示原始靜態配置中是否啟用了錄影。" + } + }, + "review": { + "label": "審閱", + "description": "控制 UI 和儲存使用的警報、偵測和 GenAI 審閱摘要的設定。", + "alerts": { + "label": "警報配置", + "description": "哪些追蹤目標生成警報以及如何保留警報的設定。", + "enabled": { + "label": "開啟警報", + "description": "為所有攝影機啟用或停用警報生成；可按攝影機覆蓋。" + }, + "labels": { + "label": "警報標籤", + "description": "符合警報條件的目標標籤清單（例如：car、person）。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入才能被視為警報的區域；留空則允許任何區域。" + }, + "enabled_in_config": { + "label": "原始警報狀態", + "description": "追蹤原始靜態配置中是否啟用了警報。" + }, + "cutoff_time": { + "label": "警報截止時間", + "description": "在沒有引起警報的活動後等待多少秒後截止警報。" + } + }, + "detections": { + "label": "偵測配置", + "description": "用於設定哪些追蹤目標會生成偵測記錄（非警報類），以及偵測記錄的保留方式。", + "enabled": { + "label": "開啟偵測", + "description": "為所有攝影機啟用或停用偵測事件；可按攝影機覆蓋。" + }, + "labels": { + "label": "偵測標籤", + "description": "符合偵測事件條件的目標標籤清單。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入才能被視為偵測的區域；留空則允許任何區域。" + }, + "cutoff_time": { + "label": "偵測截止時間", + "description": "在沒有引起偵測的活動後等待多少秒後截止偵測。" + }, + "enabled_in_config": { + "label": "原始偵測狀態", + "description": "追蹤原始靜態配置中是否啟用了偵測。" + } + }, + "genai": { + "label": "生成式 AI 配置", + "description": "控制使用生成式 AI 為審閱項生成描述和摘要。", + "enabled": { + "label": "開啟生成式 AI 描述", + "description": "為審閱項開啟或關閉使用生成式 AI 生成描述和摘要。" + }, + "alerts": { + "label": "為警報開啟生成式 AI", + "description": "使用生成式 AI 為警報項生成描述。" + }, + "detections": { + "label": "為偵測開啟生成式 AI", + "description": "使用生成式 AI 為偵測項生成描述。" + }, + "image_source": { + "label": "審閱影像來源", + "description": "傳送給生成式 AI 的畫面來源（'preview' 或 'recordings'）；'recordings' 使用更高品質的畫面幀，但會消耗更多的 token。" + }, + "additional_concerns": { + "label": "額外關注事項", + "description": "生成式 AI 在分析此攝影機的監控行為時，需要額外注意的事項或說明清單。" + }, + "debug_save_thumbnails": { + "label": "儲存縮圖", + "description": "儲存傳送給生成式 AI 提供商的縮圖用於除錯和審閱。" + }, + "enabled_in_config": { + "label": "原配置生成式 AI 狀態", + "description": "記錄在靜態配置中最初是否已啟用生成式 AI 審閱功能。" + }, + "preferred_language": { + "label": "首選語言", + "description": "向生成式 AI 提供商請求生成回應的首選語言。" + }, + "activity_context_prompt": { + "label": "活動上下文提示", + "description": "自訂提示詞，用於說明可疑行為與非可疑行為的界定，為生成式 AI 生成摘要提供上下文依據。" + } + } + }, + "snapshots": { + "label": "快照", + "description": "所有攝影機的追蹤目標 API 快照設定；可攝影機單獨配置覆蓋全域性配置。", + "enabled": { + "label": "開啟快照", + "description": "為所有攝影機啟用或停用儲存快照；可按攝影機覆蓋。" + }, + "timestamp": { + "label": "時間戳疊加", + "description": "在 API 生成的快照上疊加時間戳。" + }, + "bounding_box": { + "label": "邊界框疊加", + "description": "在 API 生成的快照上繪製追蹤目標的邊界框。" + }, + "crop": { + "label": "裁剪快照", + "description": "在 API 生成的快照裁剪到偵測到的目標邊界框。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入才能儲存快照的區域。" + }, + "height": { + "label": "快照高度", + "description": "將 API 生成的快照調整到的目標高度（像素）；留空則保持原始大小。" + }, + "retain": { + "label": "快照保留", + "description": "快照的保留設定，包括預設天數和按目標覆蓋。", + "default": { + "label": "預設保留", + "description": "保留快照的預設天數。" + }, + "mode": { + "label": "保留模式", + "description": "保留模式：all（儲存所有片段）、motion（儲存有動作的片段）或 active_objects（儲存有活動目標的片段）。" + }, + "objects": { + "label": "目標保留", + "description": "按目標覆蓋的快照保留天數。" + } + }, + "quality": { + "label": "快照品質", + "description": "儲存快照的編碼品質（0-100）。" + } + }, + "timestamp_style": { + "label": "時間戳樣式", + "description": "應用於除錯檢視和快照的幀內時間戳樣式選項。", + "position": { + "label": "時間戳位置", + "description": "時間戳在影像上的位置（tl/tr/bl/br）。" + }, + "format": { + "label": "時間戳格式", + "description": "用於時間戳的日期時間格式字串（Python 日期時間格式程式碼）。" + }, + "color": { + "label": "時間戳顏色", + "description": "時間戳文字的 RGB 顏色值（所有值 0-255）。", + "red": { + "label": "紅色", + "description": "時間戳顏色的紅色分量（0-255）。" + }, + "green": { + "label": "綠色", + "description": "時間戳顏色的綠色分量（0-255）。" + }, + "blue": { + "label": "藍色", + "description": "時間戳顏色的藍色分量（0-255）。" + } + }, + "thickness": { + "label": "時間戳粗細", + "description": "時間戳文字的線條粗細。" + }, + "effect": { + "label": "時間戳效果", + "description": "時間戳文字的視覺效果（none、solid、shadow）。" + } + }, + "audio_transcription": { + "label": "音訊轉錄", + "description": "用於事件和即時字幕的即時和語音音訊轉錄設定。", + "enabled": { + "label": "開啟音訊轉錄", + "description": "為所有攝影機啟用或停用自動音訊轉錄；可按攝影機覆蓋。" + }, + "language": { + "label": "轉錄語言", + "description": "用於轉錄/翻譯的語言程式碼（例如 'en' 表示英語）。請參閱 https://whisper-api.com/docs/languages/ 瞭解支援的語言程式碼。" + }, + "device": { + "label": "轉錄裝置", + "description": "執行轉錄模型的裝置金鑰（CPU/GPU）。目前僅支援 NVIDIA CUDA GPU 進行轉錄。" + }, + "model_size": { + "label": "模型大小", + "description": "用於離線音訊事件轉錄的模型大小。" + }, + "live_enabled": { + "label": "即時監控轉寫", + "description": "在接收到音訊時開啟即時監控持續轉寫。" + } + }, + "classification": { + "label": "目標分類", + "description": "用於最佳化目標標籤或狀態分類的分類模型設定。", + "bird": { + "label": "鳥類分類配置", + "description": "鳥類分類模型特定的設定。", + "enabled": { + "label": "鳥類分類", + "description": "啟用或停用鳥類分類。" + }, + "threshold": { + "label": "最小分數", + "description": "接受鳥類分類所需的最小分類分數。" + } + }, + "custom": { + "label": "自訂分類模型", + "description": "用於目標或狀態偵測的自訂分類模型配置。", + "enabled": { + "label": "開啟模型", + "description": "啟用或停用自訂分類模型。" + }, + "name": { + "label": "模型名稱", + "description": "要使用的自訂分類模型的辨識符號。" + }, + "threshold": { + "label": "分數閾值", + "description": "用於更改分類狀態的分數閾值。" + }, + "save_attempts": { + "label": "儲存嘗試", + "description": "為最近分類 UI 儲存多少次分類嘗試。" + }, + "object_config": { + "objects": { + "label": "分類目標", + "description": "要執行目標分類的目標型別清單。" + }, + "classification_type": { + "label": "分類型別", + "description": "應用的分類型別：'sub_label'（新增 sub_label）或其他支援的型別。" + } + }, + "state_config": { + "cameras": { + "label": "分類攝影機", + "description": "用於執行狀態分類的按攝影機裁剪和設定。", + "crop": { + "label": "分類裁剪", + "description": "用於在此攝影機上執行分類的裁剪座標。" + } + }, + "motion": { + "label": "動作時執行", + "description": "啟用後，當在指定裁剪區域內偵測到動作時執行分類。" + }, + "interval": { + "label": "分類間隔", + "description": "狀態分類的定期分類執行間隔（秒）。" + } + } + } + }, + "semantic_search": { + "label": "語意搜尋", + "description": "用於構建和查詢目標嵌入以查詢相似項的語意搜尋設定。", + "enabled": { + "label": "開啟語意搜尋", + "description": "啟用或停用語意搜尋功能。" + }, + "reindex": { + "label": "啟動時重建索引", + "description": "觸發將歷史追蹤目標完全重新索引到嵌入資料庫。" + }, + "model": { + "label": "語意搜尋模型或生成式 AI 服務名稱", + "description": "用於語意搜尋的嵌入模型（例如 'jinav1'），或具有嵌入功能（embeddings）的生成式 AI 服務名稱。" + }, + "model_size": { + "label": "模型大小", + "description": "選擇模型大小；'small' 在 CPU 上執行，'large' 通常需要 GPU。" + }, + "device": { + "label": "裝置", + "description": "這是一個覆蓋選項，用於指定特定裝置。請參閱 https://onnxruntime.ai/docs/execution-providers/ 瞭解更多資訊" + }, + "triggers": { + "label": "觸發器", + "description": "攝影機特定語意搜尋觸發器的操作和匹配條件。", + "friendly_name": { + "label": "友好名稱", + "description": "在 UI 中為此觸發器顯示的可選友好名稱。" + }, + "enabled": { + "label": "開啟此觸發器", + "description": "啟用或停用此語意搜尋觸發器。" + }, + "type": { + "label": "觸發器型別", + "description": "觸發器型別：'thumbnail'（與影像匹配）或 'description'（與文字匹配）。" + }, + "data": { + "label": "觸發器內容", + "description": "要與追蹤目標匹配的文字短語或縮圖 ID。" + }, + "threshold": { + "label": "觸發器閾值", + "description": "啟用此觸發器所需的最小相似度分數（0-1）。" + }, + "actions": { + "label": "觸發器操作", + "description": "觸發器匹配時要執行的操作清單（通知、sub_label、屬性）。" + } + } + }, + "face_recognition": { + "label": "人臉辨識", + "description": "所有攝影機的人臉偵測和辨識設定；可按攝影機覆蓋。", + "enabled": { + "label": "開啟人臉辨識", + "description": "為所有攝影機啟用或停用人臉辨識；可按攝影機覆蓋。" + }, + "model_size": { + "label": "模型大小", + "description": "用於人臉嵌入的模型大小（small/large）；較大的可能需要 GPU。" + }, + "unknown_score": { + "label": "未知分數閾值", + "description": "低於此距離閾值的人臉被視為潛在匹配（數值越高越嚴格）。" + }, + "detection_threshold": { + "label": "偵測閾值", + "description": "將人臉偵測視為有效所需的最小偵測置信度。" + }, + "recognition_threshold": { + "label": "辨識閾值", + "description": "將兩張人臉視為匹配的人臉嵌入距離閾值。" + }, + "min_area": { + "label": "最小人臉區域", + "description": "需要嘗試進行人臉辨識的人臉偵測框最小大小（像素）。" + }, + "min_faces": { + "label": "最小人臉數", + "description": "在將辨識的子標籤應用於人員之前所需的最小人臉辨識次數。" + }, + "save_attempts": { + "label": "儲存嘗試", + "description": "為最近辨識 UI 保留的人臉辨識嘗試次數。" + }, + "blur_confidence_filter": { + "label": "模糊置信度過濾器", + "description": "根據影像模糊程度調整置信度分數，以減少低品質人臉的誤報。" + }, + "device": { + "label": "裝置", + "description": "這是一個覆蓋選項，用於指定特定裝置。請參閱 https://onnxruntime.ai/docs/execution-providers/ 瞭解更多資訊" + } + }, + "lpr": { + "label": "車牌辨識", + "description": "車牌辨識設定，包括偵測閾值、格式化和已知車牌。", + "enabled": { + "label": "開啟車牌辨識", + "description": "為所有攝影機啟用或停用車牌辨識；可按攝影機覆蓋。" + }, + "model_size": { + "label": "模型大小", + "description": "用於文字偵測/辨識的模型大小，大多數使用者應使用 'small'，只有'small'模型支援中文。" + }, + "detection_threshold": { + "label": "偵測閾值", + "description": "開始對疑似車牌執行 OCR 的偵測置信度閾值。" + }, + "min_area": { + "label": "最小車牌區域", + "description": "嘗試辨識所需的最小車牌區域（像素）。" + }, + "recognition_threshold": { + "label": "辨識閾值", + "description": "辨識的車牌文字作為子標籤附加所需的置信度閾值。" + }, + "min_plate_length": { + "label": "最小車牌長度", + "description": "辨識的車牌被視為有效所需的最小字元數。" + }, + "format": { + "label": "車牌格式正則", + "description": "用於驗證辨識的車牌字串是否符合預期格式的可選正則表示式。" + }, + "match_distance": { + "label": "匹配距離", + "description": "將偵測到的車牌與已知車牌比較時允許的字元不匹配數。" + }, + "known_plates": { + "label": "已知車牌", + "description": "要特別追蹤或報警的車牌或正則表示式清單。" + }, + "enhancement": { + "label": "增強級別", + "description": "在 OCR 之前應用於車牌裁剪的增強級別（0-10）；較高的值可能不總是改善結果，5 以上的級別可能僅適用於夜間車牌，應謹慎使用。" + }, + "debug_save_plates": { + "label": "儲存除錯車牌", + "description": "儲存車牌裁剪影像用於除錯 LPR 效能。" + }, + "device": { + "label": "裝置", + "description": "這是一個覆蓋選項，用於指定特定裝置。請參閱 https://onnxruntime.ai/docs/execution-providers/ 瞭解更多資訊" + }, + "replace_rules": { + "label": "替換規則", + "description": "用於在匹配之前規範化偵測到的車牌字串的正則替換規則。", + "pattern": { + "label": "正則模式" + }, + "replacement": { + "label": "替換字串" + } + }, + "expire_time": { + "label": "過期秒數", + "description": "未見到的車牌從追蹤器中過期的時間（秒）（僅適用於專用 LPR 攝影機）。" + } + }, + "camera_groups": { + "label": "攝影機分組", + "description": "用於在頁面中組織攝影機的命名攝影機分組配置。", + "cameras": { + "label": "攝影機清單", + "description": "此分組中包含的攝影機名稱陣列。" + }, + "icon": { + "label": "分組圖示", + "description": "在頁面中代表攝影機分組的圖示。" + }, + "order": { + "label": "排序順序", + "description": "用於在頁面中對攝影機分組進行排序的數字順序；數值越大越靠後。" + } + }, + "profiles": { + "label": "設定檔", + "description": "帶有別名的命名設定檔定義。攝影機設定檔必須引用此處定義的名稱。", + "friendly_name": { + "label": "別名", + "description": "在介面中顯示的此設定檔名稱，可以使用中文。" + } + }, + "active_profile": { + "label": "啟用設定檔", + "description": "當前啟用的設定檔名稱。僅在執行時使用，不會寫入 YAML 設定檔中。" + }, + "camera_mqtt": { + "label": "MQTT", + "description": "MQTT 影像釋出設定。", + "enabled": { + "label": "傳送影像", + "description": "為此攝影機啟用將目標快照影像釋出到 MQTT 主題。" + }, + "timestamp": { + "label": "新增時間戳", + "description": "在釋出到 MQTT 的影像上疊加時間戳。" + }, + "bounding_box": { + "label": "新增邊界框", + "description": "在透過 MQTT 釋出的影像上繪製邊界框。" + }, + "crop": { + "label": "裁剪影像", + "description": "將釋出到 MQTT 的影像裁剪到偵測到的目標邊界框。" + }, + "height": { + "label": "影像高度", + "description": "透過 MQTT 釋出的影像調整到的目標高度（像素）。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入才能釋出 MQTT 影像的區域。" + }, + "quality": { + "label": "JPEG 品質", + "description": "釋出到 MQTT 的影像的 JPEG 品質（0-100）。" + } + }, + "camera_ui": { + "label": "攝影機頁面", + "description": "此攝影機在頁面中的顯示順序和可見性。顯示順序僅影響預設儀表板。如需更精細的控制，請使用“攝影機組”。", + "order": { + "label": "UI 順序", + "description": "用於在頁面中排序攝影機的順序（只會影響預設儀表板和清單）；數值越大則在越後面。" + }, + "dashboard": { + "label": "在 UI 中顯示", + "description": "切換此攝影機在 Frigate 頁面中是否可見。停用後需要手動編輯配置才能再次在頁面中檢視此攝影機。" + } + }, + "onvif": { + "label": "ONVIF", + "description": "此攝影機的 ONVIF 連線和 PTZ 自動追蹤設定。", + "host": { + "label": "ONVIF 主機", + "description": "此攝影機 ONVIF 服務的主機（和可選協議）。" + }, + "port": { + "label": "ONVIF 埠", + "description": "ONVIF 服務的埠號。" + }, + "user": { + "label": "ONVIF 使用者名稱", + "description": "ONVIF 身份驗證的使用者名稱；某些裝置需要管理員使用者才能使用 ONVIF。" + }, + "password": { + "label": "ONVIF 密碼", + "description": "ONVIF 身份驗證的密碼。" + }, + "tls_insecure": { + "label": "停用 TLS 驗證", + "description": "跳過 TLS 驗證並停用 ONVIF 的摘要認證（不安全；僅用於安全網路）。" + }, + "profile": { + "label": "ONVIF 設定檔", + "description": "用於 PTZ 控制的指定 ONVIF 媒體配置，將透過 Token 或名稱匹配。如果未手動指定，將自動選擇第一個包含有效 PTZ 配置的媒體配置。" + }, + "autotracking": { + "label": "自動追蹤", + "description": "使用 PTZ 攝影機移動自動追蹤移動目標並使其保持在畫面中心。", + "enabled": { + "label": "開啟自動追蹤", + "description": "啟用或停用偵測目標的自動 PTZ 攝影機追蹤。" + }, + "calibrate_on_startup": { + "label": "啟動時校準", + "description": "在啟動時測量 PTZ 電機速度以提高追蹤精度。Frigate 將在校準後用 movement_weights 更新配置。" + }, + "zooming": { + "label": "變焦模式", + "description": "控制變焦行為：disabled（僅平移/傾斜）、absolute（最相容）或 relative（同時平移/傾斜/變焦）。" + }, + "zoom_factor": { + "label": "變焦因子", + "description": "控制追蹤目標的變焦級別。數值越低保持更多場景可見；數值越高放大更近但可能丟失追蹤。數值範圍 0.1 到 0.75。" + }, + "track": { + "label": "追蹤目標", + "description": "應觸發自動追蹤的目標型別清單。" + }, + "required_zones": { + "label": "必需區域", + "description": "目標必須進入這些區域之一才能開始自動追蹤。" + }, + "return_preset": { + "label": "返回預設", + "description": "追蹤結束後返回的攝影機韌體中配置的 ONVIF 預設名稱。" + }, + "timeout": { + "label": "返回超時", + "description": "失去追蹤後等待多少秒後將攝影機返回到預設位置。" + }, + "movement_weights": { + "label": "移動權重", + "description": "由攝影機校準自動生成的校準值。請勿手動修改。" + }, + "enabled_in_config": { + "label": "原始自動追蹤狀態", + "description": "用於追蹤配置中是否啟用自動追蹤的內部欄位。" + } + }, + "ignore_time_mismatch": { + "label": "忽略時間不匹配", + "description": "忽略 ONVIF 通訊中攝影機和 Frigate 伺服器之間的時間同步差異。" } } } diff --git a/web/public/locales/zh-Hant/config/groups.json b/web/public/locales/zh-Hant/config/groups.json index 0967ef424b..5180463b90 100644 --- a/web/public/locales/zh-Hant/config/groups.json +++ b/web/public/locales/zh-Hant/config/groups.json @@ -1 +1,73 @@ -{} +{ + "audio": { + "global": { + "detection": "全域性偵測", + "sensitivity": "全域性靈敏度" + }, + "cameras": { + "detection": "偵測", + "sensitivity": "靈敏度" + } + }, + "timestamp_style": { + "global": { + "appearance": "全域性外觀" + }, + "cameras": { + "appearance": "外觀" + } + }, + "motion": { + "global": { + "sensitivity": "全域性靈敏度", + "algorithm": "全域性演算法" + }, + "cameras": { + "sensitivity": "靈敏度", + "algorithm": "演算法" + } + }, + "snapshots": { + "global": { + "display": "全域性顯示" + }, + "cameras": { + "display": "顯示" + } + }, + "detect": { + "global": { + "resolution": "全域性解析度", + "tracking": "全域性追蹤" + }, + "cameras": { + "resolution": "解析度", + "tracking": "追蹤" + } + }, + "objects": { + "global": { + "tracking": "全域性追蹤", + "filtering": "全域性篩選" + }, + "cameras": { + "tracking": "追蹤", + "filtering": "篩選" + } + }, + "record": { + "global": { + "retention": "全域性保留", + "events": "全域性事件" + }, + "cameras": { + "retention": "保留", + "events": "事件" + } + }, + "ffmpeg": { + "cameras": { + "cameraFfmpeg": "攝影機特定的 FFmpeg 引數" + } + } +} diff --git a/web/public/locales/zh-Hant/config/validation.json b/web/public/locales/zh-Hant/config/validation.json index 0967ef424b..2c0274b3b6 100644 --- a/web/public/locales/zh-Hant/config/validation.json +++ b/web/public/locales/zh-Hant/config/validation.json @@ -1 +1,32 @@ -{} +{ + "minimum": "必須至少為 {{limit}}", + "maximum": "最大值不能超過 {{limit}}", + "exclusiveMinimum": "必須大於 {{limit}}", + "exclusiveMaximum": "必須小於 {{limit}}", + "minLength": "長度至少為 {{limit}} 個字元", + "maxLength": "長度最多為 {{limit}} 個字元", + "minItems": "至少包含 {{limit}} 項", + "maxItems": "最多包含 {{limit}} 項", + "pattern": "格式無效", + "required": "此欄位為必填項", + "type": "值型別無效", + "enum": "必須是允許的值之一", + "const": "值與預期的常量不匹配", + "uniqueItems": "所有項必須唯一", + "format": "格式無效", + "additionalProperties": "不允許未知屬性", + "oneOf": "必須完全匹配一個允許的模式", + "anyOf": "必須至少匹配一個允許的模式", + "proxy": { + "header_map": { + "roleHeaderRequired": "設定角色對應時必須要有 role 標頭。" + } + }, + "ffmpeg": { + "inputs": { + "rolesUnique": "每個角色只能分配給一個輸入串流。", + "detectRequired": "必須至少有一個輸入串流分配為 'detect' 角色。", + "hwaccelDetectOnly": "只有分配了 detect 角色的輸入串流才能定義硬體加速引數。" + } + } +} diff --git a/web/public/locales/zh-Hant/objects.json b/web/public/locales/zh-Hant/objects.json index 092506cdd4..2dc4ad5e8f 100644 --- a/web/public/locales/zh-Hant/objects.json +++ b/web/public/locales/zh-Hant/objects.json @@ -116,5 +116,14 @@ "nzpost": "紐西蘭郵政（NZ Post）", "postnord": "北歐郵政（PostNord）", "gls": "GLS 快遞", - "dpd": "DPD 快遞" + "dpd": "DPD 快遞", + "canada_post": "加拿大郵政", + "royal_mail": "英國皇家郵政", + "school_bus": "校車", + "skunk": "臭鼬", + "kangaroo": "袋鼠", + "baby": "嬰兒", + "baby_stroller": "嬰兒推車", + "rickshaw": "人力車", + "rodent": "齧齒動物" } diff --git a/web/public/locales/zh-Hant/views/chat.json b/web/public/locales/zh-Hant/views/chat.json new file mode 100644 index 0000000000..fced43e35e --- /dev/null +++ b/web/public/locales/zh-Hant/views/chat.json @@ -0,0 +1,64 @@ +{ + "documentTitle": "聊天 - Frigate", + "title": "Frigate 聊天", + "subtitle": "你的攝影機管理與智慧分析 AI 助手", + "placeholder": "嘗試問我任何事…", + "error": "出現錯誤，請稍後重試。", + "processing": "進行中…", + "toolsUsed": "使用：{{tools}}", + "showTools": "顯示工具（{{count}}）", + "hideTools": "隱藏工具", + "call": "呼叫", + "result": "結果", + "arguments": "引數：", + "response": "回應：", + "attachment_chip_label": "在 {{camera}} 的 {{label}}", + "attachment_chip_remove": "移除附件", + "open_in_explore": "從瀏覽中開啟", + "attach_event_aria": "關聯事件 {{eventId}}", + "attachment_picker_paste_label": "或貼上事件 ID", + "attachment_picker_attach": "關聯", + "attachment_picker_placeholder": "關聯一個事件", + "quick_reply_find_similar": "查詢相似抓拍事件", + "quick_reply_tell_me_more": "瞭解更多詳情", + "quick_reply_when_else": "還在哪些時段出現過？", + "quick_reply_find_similar_text": "查詢與此相似的抓拍記錄。", + "quick_reply_tell_me_more_text": "瞭解此條更多詳情。", + "quick_reply_when_else_text": "還在哪些時間出現過？", + "anchor": "來源", + "similarity_score": "相似度", + "no_similar_objects_found": "未找到相似目標。", + "semantic_search_required": "必須啟用語意搜尋才能查詢相似目標。", + "send": "傳送", + "suggested_requests": "嘗試問問：", + "starting_requests": { + "show_recent_events": "檢視近期事件", + "show_camera_status": "顯示攝影機狀態", + "recap": "我不在的時候發生了什麼？", + "watch_camera": "監控攝影機活動" + }, + "starting_requests_prompts": { + "show_recent_events": "顯示最近一小時的事件", + "show_camera_status": "我的攝影機當前狀態如何？", + "recap": "我不在的時候發生了什麼事？", + "watch_camera": "監控前門，有人出現就通知我" + }, + "new_chat": "新對話", + "settings": { + "title": "對話設定", + "show_stats": { + "title": "顯示統計", + "desc": "顯示對話回應的產生速度與上下文大小。", + "while_generating": "產生時", + "always": "一律顯示" + }, + "auto_scroll": { + "title": "自動捲動", + "desc": "隨新訊息到來自動跟進。" + } + }, + "stats": { + "context": "{{tokens}} 個 token", + "tokens_per_second": "{{rate}} tokens/秒" + } +} diff --git a/web/public/locales/zh-Hant/views/classificationModel.json b/web/public/locales/zh-Hant/views/classificationModel.json index 796495f691..6c0a1d9651 100644 --- a/web/public/locales/zh-Hant/views/classificationModel.json +++ b/web/public/locales/zh-Hant/views/classificationModel.json @@ -8,7 +8,8 @@ "trainedModel": "訓練模型成功。", "trainingModel": "已開始模型訓練。", "updatedModel": "已更新模型配置", - "renamedCategory": "成功修改分類名稱為{{name}}" + "renamedCategory": "成功修改分類名稱為{{name}}", + "reclassifiedImage": "成功重新分類圖片" }, "error": { "deleteImageFailed": "刪除失敗：{{errorMessage}}", @@ -18,7 +19,8 @@ "trainingFailed": "模型訓練失敗。請至Frigate 日誌查看詳情。", "trainingFailedToStart": "模型訓練啟動失敗: {{errorMessage}}", "updateModelFailed": "模型更新失敗: {{errorMessage}}", - "renameCategoryFailed": "類別重新命名失敗: {{errorMessage}}" + "renameCategoryFailed": "類別重新命名失敗: {{errorMessage}}", + "reclassifyFailed": "重新分類圖片失敗：{{errorMessage}}" } }, "documentTitle": "分類模型", @@ -95,14 +97,80 @@ "namePlaceholder": "請輸入模型名稱...", "type": "類別", "typeState": "狀態", - "typeObject": "物件" + "typeObject": "物件", + "classificationTypeDesc": "子標籤會為目標標籤新增附加文字（例如：“人員：美團”）。屬性是可搜尋的元資料，獨立儲存在目標的元資訊中。", + "classificationSubLabel": "子標籤", + "classificationAttribute": "屬性", + "classes": "類別", + "states": "狀態", + "classesTip": "瞭解類別", + "classesStateDesc": "定義攝影機區域內可能出現的不同狀態。例如：車庫門的“開啟”和“關閉”。", + "classesObjectDesc": "定義用於分類偵測目標的不同類別。例如：人員分類中的“快遞員”、“居民”、“陌生人”。", + "classPlaceholder": "請輸入分類名稱……", + "errors": { + "nameRequired": "模型名稱為必填項", + "nameLength": "模型名稱長度不能超過 64 個字元", + "nameOnlyNumbers": "模型名稱不能僅包含數字", + "classRequired": "至少需要一個類別", + "classesUnique": "類別名稱必須唯一", + "noneNotAllowed": "不能建立“none”（無標籤）類別", + "stateRequiresTwoClasses": "狀態模型至少需要兩個類別", + "objectLabelRequired": "請選擇一個目標標籤", + "objectTypeRequired": "請選擇一個目標標籤" + } }, "steps": { - "chooseExamples": "選擇範本" + "chooseExamples": "選擇範本", + "nameAndDefine": "名稱與定義", + "stateArea": "狀態區域" + }, + "title": "建立新分類", + "step2": { + "description": "選擇攝影機，併為攝影機定義要監控的區域。模型將對這些區域的狀態進行分類。", + "cameras": "攝影機", + "selectCamera": "選擇攝影機", + "noCameras": "點選 + 符號新增攝影機", + "selectCameraPrompt": "從清單中選擇一個攝影機以定義其偵測區域" + }, + "step3": { + "selectImagesPrompt": "選擇所有屬於 {{className}} 的圖片", + "selectImagesDescription": "點選影像進行選擇，完成該類別後點選“繼續”。", + "allImagesRequired_other": "請對所有圖片進行分類。還有 {{count}} 張圖片需要分類。", + "generating": { + "title": "正在生成樣本圖片", + "description": "Frigate 正在從錄影中提取代表性圖片。這可能需要一些時間……" + }, + "training": { + "title": "正在訓練模型", + "description": "系統正在後臺訓練模型。你可以關閉此對話方塊，訓練完成後模型將自動開始執行。" + }, + "retryGenerate": "重新生成", + "noImages": "未生成樣本影像", + "classifying": "正在分類與訓練……", + "trainingStarted": "已開始模型訓練", + "modelCreated": "模型建立成功。請在“最近分類”頁面為缺失的狀態新增圖片，然後訓練模型。", + "errors": { + "noCameras": "未配置攝影機", + "noObjectLabel": "未選擇目標標籤", + "generateFailed": "示例生成失敗：{{error}}", + "generationFailed": "生成失敗，請重試。", + "classifyFailed": "圖片分類失敗：{{error}}" + }, + "generateSuccess": "樣本圖片生成成功", + "refreshExamples": "生成新示例", + "refreshConfirm": { + "title": "需要生成新示例？", + "description": "此操作將生成一組新的圖片，並清除所有選擇內容（包括之前的所有類別）。你需要為所有類別重新選擇示例。" + }, + "missingStatesWarning": { + "title": "缺失分類示例", + "description": "並非所有類別都有示例。可嘗試生成新示例以查詢缺失的類別，或繼續該步驟，之後透過 “最近分類” 頁面新增圖片。" + } } }, "menu": { - "states": "狀態" + "states": "狀態", + "objects": "目標" }, "noModels": { "object": { @@ -111,7 +179,13 @@ "buttonText": "建立物件模型" }, "state": { - "description": "建立自訂模型，用於監控和分類特定攝影機區域的狀態變化。" + "description": "建立自訂模型，用於監控和分類特定攝影機區域的狀態變化。", + "title": "尚未建立狀態分類模型", + "buttonText": "建立狀態模型" } - } + }, + "categorizeImageAs": "圖片分類為：", + "categorizeImage": "圖片分類", + "reclassifyImageAs": "重新分類圖片為：", + "reclassifyImage": "重新分類圖片" } diff --git a/web/public/locales/zh-Hant/views/events.json b/web/public/locales/zh-Hant/views/events.json index 7d5b4d28c8..bbe3f4bbae 100644 --- a/web/public/locales/zh-Hant/views/events.json +++ b/web/public/locales/zh-Hant/views/events.json @@ -14,7 +14,9 @@ "description": "僅當該攝影機啟用錄製功能時，才能為該攝影機建立審查項目。" } }, - "timeline": "時間線", + "timeline": { + "label": "時間線" + }, "timeline.aria": "選擇時間線", "events": { "label": "事件", @@ -24,7 +26,9 @@ "documentTitle": "審核 - Frigate", "allCameras": "所有鏡頭", "recordings": { - "documentTitle": "錄影 - Frigate" + "documentTitle": "錄影 - Frigate", + "invalidSharedLink": "由於解析錯誤，無法開啟帶時間戳的錄製連結。", + "invalidSharedCamera": "由於攝影機未知或未獲授權，無法開啟帶時間戳的錄製連結。" }, "calendarFilter": { "last24Hours": "過去 24 小時" @@ -63,5 +67,28 @@ "normalActivity": "正常", "needsReview": "待審核", "securityConcern": "安全隱憂", - "select_all": "全選" + "select_all": "全選", + "motionSearch": { + "menuItem": "畫面變動搜尋", + "openMenu": "攝影機選項" + }, + "motionPreviews": { + "menuItem": "檢視畫面變動預覽", + "title": "畫面變動預覽：{{camera}}", + "mobileSettingsTitle": "畫面變動預覽設定", + "mobileSettingsDesc": "調整播放速度和變暗程度，並選擇日期以僅檢視畫面變動的片段。", + "dim": "變暗", + "dimAria": "調整變暗強度", + "dimDesc": "增加變暗程度可以提高畫面變動區域的可見性。", + "speed": "速度", + "speedAria": "選擇預覽播放速度", + "speedDesc": "選擇預覽片段的播放速度。", + "back": "返回", + "empty": "沒有可用的預覽", + "noPreview": "預覽不可用", + "seekAria": "將 {{camera}} 播放器定位到 {{time}}", + "filter": "篩選", + "filterDesc": "選擇區域以僅顯示在這些區域中有畫面變動的片段。", + "filterClear": "清除" + } } diff --git a/web/public/locales/zh-Hant/views/explore.json b/web/public/locales/zh-Hant/views/explore.json index 5987009635..671e9201bf 100644 --- a/web/public/locales/zh-Hant/views/explore.json +++ b/web/public/locales/zh-Hant/views/explore.json @@ -112,7 +112,8 @@ "attributes": "分類屬性", "title": { "label": "標題" - } + }, + "scoreInfo": "分數資訊" }, "trackedObjectDetails": "追蹤物件詳情", "type": { @@ -221,12 +222,22 @@ "viewTrackingDetails": { "label": "檢視追蹤詳細資訊", "aria": "顯示追蹤詳細資訊" + }, + "debugReplay": { + "label": "除錯回放", + "aria": "在除錯回放檢視中檢視此被追蹤物件" + }, + "more": { + "aria": "更多" } }, "dialog": { "confirmDelete": { "title": "確認刪除", "desc": "刪除此追蹤物件將移除截圖、所有已保存的嵌入，以及所有相關的追蹤詳情。歷史記錄中的錄影不會被刪除。

    你確定要刪除嗎？" + }, + "toast": { + "error": "刪除該追蹤目標時出錯：{{errorMessage}}" } }, "noTrackedObjects": "找不到追蹤物件", @@ -268,7 +279,10 @@ "zones": "區域", "ratio": "比例", "score": "分數", - "area": "面積" + "area": "面積", + "computedScore": "計算得分", + "topScore": "最高得分", + "toggleAdvancedScores": "切換高階分數" } }, "annotationSettings": { @@ -294,5 +308,8 @@ }, "aiAnalysis": { "title": "AI 分析" + }, + "concerns": { + "label": "風險等級" } } diff --git a/web/public/locales/zh-Hant/views/exports.json b/web/public/locales/zh-Hant/views/exports.json index 3d3f9e87c6..0b376bcfd2 100644 --- a/web/public/locales/zh-Hant/views/exports.json +++ b/web/public/locales/zh-Hant/views/exports.json @@ -2,7 +2,9 @@ "search": "搜尋", "documentTitle": "匯出 - Frigate", "noExports": "找不到匯出內容", - "deleteExport": "刪除匯出內容", + "deleteExport": { + "label": "刪除匯出" + }, "editExport": { "saveExport": "儲存匯出內容", "title": "重新命名匯出內容", @@ -10,7 +12,10 @@ }, "toast": { "error": { - "renameExportFailed": "重新命名匯出內容失敗：{{errorMessage}}" + "renameExportFailed": "重新命名匯出內容失敗：{{errorMessage}}", + "assignCaseFailed": "更新案件分配失敗：{{errorMessage}}", + "caseSaveFailed": "儲存案件失敗：{{errorMessage}}", + "caseDeleteFailed": "刪除案件失敗：{{errorMessage}}" } }, "deleteExport.desc": "你確定要刪除 {{exportName}} 嗎？", @@ -18,6 +23,106 @@ "shareExport": "分享匯出", "downloadVideo": "下載影片", "editName": "編輯名稱", - "deleteExport": "刪除匯出" + "deleteExport": "刪除匯出", + "assignToCase": "加入案件", + "removeFromCase": "從案件中移除" + }, + "headings": { + "cases": "案件", + "uncategorizedExports": "未分類匯出項" + }, + "toolbar": { + "newCase": "新案件", + "addExport": "新匯出", + "editCase": "編輯案件", + "deleteCase": "刪除案件" + }, + "deleteCase": { + "label": "刪除案件", + "desc": "你確定要刪除 {{caseName}} 嗎？", + "descKeepExports": "匯出檔案將繼續保留為未分類匯出。", + "descDeleteExports": "此案件中的所有匯出項都將被永久刪除。", + "deleteExports": "同時刪除匯出檔案" + }, + "caseDialog": { + "title": "加入案件", + "description": "選擇現有案件或建立新案件。", + "selectLabel": "案件", + "newCaseOption": "建立新案件", + "nameLabel": "案件名稱", + "descriptionLabel": "描述" + }, + "caseCard": { + "emptyCase": "暫無匯出檔案" + }, + "jobCard": { + "defaultName": "{{camera}} 匯出", + "queued": "佇列中", + "running": "執行中", + "preparing": "準備中", + "copying": "複製中", + "encoding": "編碼中", + "encodingRetry": "重試編碼中", + "finalizing": "正在完成" + }, + "caseView": { + "noDescription": "沒有描述", + "createdAt": "已建立 {{value}}", + "exportCount_one": "1 個匯出", + "exportCount_other": "{{count}} 個匯出", + "cameraCount_one": "1 個攝影機", + "cameraCount_other": "{{count}} 個攝影機", + "showMore": "顯示更多", + "showLess": "顯示更少", + "emptyTitle": "該案件為空", + "emptyDescription": "將現有未分類的匯出新增進來，以便整理該條目。", + "emptyDescriptionNoExports": "目前沒有可新增的未分類匯出項。" + }, + "caseEditor": { + "createTitle": "建立案件", + "editTitle": "編輯案件", + "namePlaceholder": "案件名稱", + "descriptionPlaceholder": "為該案件新增備註或相關說明" + }, + "addExportDialog": { + "title": "將匯出新增到 {{caseName}}", + "searchPlaceholder": "搜尋未分類的匯出項", + "empty": "未找到匹配的未分類匯出。", + "addButton_one": "新增 1 個匯出", + "addButton_other": "新增 {{count}} 個匯出", + "adding": "新增中…" + }, + "selected_one": "已選擇 {{count}} 個", + "selected_other": "已選擇 {{count}} 個", + "bulkActions": { + "addToCase": "新增至案件", + "moveToCase": "移動至案件", + "removeFromCase": "從案件中移除", + "delete": "刪除", + "deleteNow": "立即刪除" + }, + "bulkDelete": { + "title": "刪除匯出", + "desc_one": "你確定要刪除 {{count}} 個匯出嗎？", + "desc_other": "確定要刪除 {{count}} 個匯出嗎？" + }, + "bulkRemoveFromCase": { + "title": "從案件中移除", + "desc_one": "你確定要從該案件中移除這 {{count}} 個匯出嗎？", + "desc_other": "你確定要從該案件中移除這 {{count}} 個匯出嗎？", + "descKeepExports": "匯出將被移至未分類。", + "descDeleteExports": "匯出將被永久刪除。", + "deleteExports": "選擇刪除匯出" + }, + "bulkToast": { + "success": { + "delete": "已刪除匯出", + "reassign": "已更新案件分配", + "remove": "已從案件中移除匯出" + }, + "error": { + "deleteFailed": "刪除匯出失敗：{{errorMessage}}", + "reassignFailed": "更新案件分配失敗：{{errorMessage}}" + } } } diff --git a/web/public/locales/zh-Hant/views/faceLibrary.json b/web/public/locales/zh-Hant/views/faceLibrary.json index 938bf15818..496e1631db 100644 --- a/web/public/locales/zh-Hant/views/faceLibrary.json +++ b/web/public/locales/zh-Hant/views/faceLibrary.json @@ -2,7 +2,8 @@ "description": { "addFace": "上傳您的第一張照片至臉部資料庫以新增一個新的集合。", "placeholder": "輸入此集合的名稱", - "invalidName": "無效的名稱。名稱只能包涵英數字、空格、撇（'）、底線（_）及連字號（-）。" + "invalidName": "無效的名稱。名稱只能包涵英數字、空格、撇（'）、底線（_）及連字號（-）。", + "nameCannotContainHash": "名稱中不允許包含“#”符號。" }, "details": { "person": "人", @@ -38,7 +39,11 @@ "title": "最近的識別紀錄", "aria": "選擇最近的識別紀錄", "empty": "最近沒有辨識人臉的操作", - "titleShort": "最近" + "titleShort": "最近", + "emptyNoLibrary": { + "title": "上傳一張人臉", + "description": "您必須先在資料庫中加入至少一張人臉，才能使用人臉辨識功能。" + } }, "selectFace": "選擇人臉", "deleteFaceLibrary": { @@ -82,7 +87,8 @@ "deletedName_other": "{{count}} 個人臉已成功刪除。", "renamedFace": "成功將人臉重新命名為 {{name}}", "trainedFace": "成功訓練人臉。", - "updatedFaceScore": "成功更新人臉分數{{name}}({{score}})。" + "updatedFaceScore": "成功更新人臉分數{{name}}({{score}})。", + "reclassifiedFace": "重新分類人臉成功。" }, "error": { "uploadingImageFailed": "上傳圖片失敗：{{errorMessage}}", @@ -91,7 +97,10 @@ "deleteNameFailed": "刪除名稱失敗：{{errorMessage}}", "renameFaceFailed": "重新命名人臉失敗：{{errorMessage}}", "trainFailed": "訓練失敗：{{errorMessage}}", - "updateFaceScoreFailed": "更新人臉分數失敗：{{errorMessage}}" + "updateFaceScoreFailed": "更新人臉分數失敗：{{errorMessage}}", + "reclassifyFailed": "重新分類人臉失敗：{{errorMessage}}" } - } + }, + "reclassifyFaceAs": "將人臉重新分類為：", + "reclassifyFace": "重新分類人臉" } diff --git a/web/public/locales/zh-Hant/views/live.json b/web/public/locales/zh-Hant/views/live.json index a839b4b881..d1e28743fd 100644 --- a/web/public/locales/zh-Hant/views/live.json +++ b/web/public/locales/zh-Hant/views/live.json @@ -1,5 +1,7 @@ { - "documentTitle": "即時畫面 - Frigate", + "documentTitle": { + "default": "即時監控 - Frigate" + }, "documentTitle.withCamera": "{{camera}} - 即時畫面 - Frigate", "lowBandwidthMode": "低流量模式", "twoWayTalk": { @@ -11,7 +13,8 @@ "clickMove": { "label": "點擊畫面以置中鏡頭", "enable": "啟用點擊移動", - "disable": "停用點擊移動" + "disable": "停用點擊移動", + "enableWithZoom": "開啟點選移動 / 拖動縮放功能" }, "left": { "label": "向左移動 PTZ 鏡頭" @@ -67,7 +70,8 @@ }, "recording": { "enable": "啟用錄影", - "disable": "停用錄影" + "disable": "停用錄影", + "disabledInConfig": "必須先在該攝影機的設定中開啟錄製功能。" }, "snapshots": { "enable": "啟用截圖", @@ -134,6 +138,9 @@ "playInBackground": { "label": "背景播放", "tips": "啟用此選項以在播放器被隱藏時繼續播放串流。" + }, + "debug": { + "picker": "除錯模式下無法切換影片流。除錯將始終使用偵測（detect）功能的影片流。" } }, "cameraSettings": { @@ -143,7 +150,8 @@ "recording": "錄影", "snapshots": "截圖", "audioDetection": "音訊偵測", - "autotracking": "自動追蹤" + "autotracking": "自動追蹤", + "transcription": "音訊轉錄" }, "history": { "label": "顯示歷史影像" @@ -172,5 +180,24 @@ "noVideoSource": "沒有可用的影片資源以擷取快照。", "captureFailed": "快照擷取失敗。", "downloadStarted": "已開始下載快照。" + }, + "noCameras": { + "title": "未設定攝影機", + "description": "準備開始連線攝影機至 Frigate 。", + "buttonText": "新增攝影機", + "restricted": { + "title": "無可用攝影機", + "description": "你沒有權限檢視此分組中的任何攝影機。" + }, + "default": { + "title": "沒有配置攝影機", + "description": "現在就將攝影機接入到 Frigate 吧。", + "buttonText": "新增攝影機" + }, + "group": { + "title": "攝影機組目前為空", + "description": "該攝影機組未分配或啟動了攝影機。", + "buttonText": "管理攝影機組" + } } } diff --git a/web/public/locales/zh-Hant/views/motionSearch.json b/web/public/locales/zh-Hant/views/motionSearch.json new file mode 100644 index 0000000000..a83835afa0 --- /dev/null +++ b/web/public/locales/zh-Hant/views/motionSearch.json @@ -0,0 +1,73 @@ +{ + "documentTitle": "變動搜尋 - Frigate", + "title": "畫面變動搜尋", + "description": "繪製一個多邊形以劃定感興趣區域，並指定時間範圍，檢索該區域內的動態變化。", + "selectCamera": "畫面變動搜尋正在載入中", + "startSearch": "開始搜尋", + "searchStarted": "搜尋已開始", + "searchCancelled": "搜尋已取消", + "cancelSearch": "取消", + "searching": "搜尋進行中。", + "searchComplete": "搜尋完成", + "noResultsYet": "在所選區域內執行搜尋，查詢異常變化", + "noChangesFound": "所選區域未偵測到像素變化", + "changesFound_other": "偵測到 {{count}} 處畫面變化", + "framesProcessed": "已處理 {{count}} 幀畫面", + "jumpToTime": "跳轉到該時間", + "results": "結果", + "showSegmentHeatmap": "熱力圖", + "newSearch": "新的搜尋", + "clearResults": "清除結果", + "clearROI": "清除多邊形選區", + "polygonControls": { + "points_other": "{{count}} 個點位", + "undo": "撤銷上一個點位", + "reset": "重設多邊形" + }, + "motionHeatmapLabel": "畫面變動熱力圖", + "dialog": { + "title": "畫面變動搜尋", + "cameraLabel": "攝影機", + "previewAlt": "{{camera}} 攝影機即時預覽" + }, + "timeRange": { + "title": "搜尋範圍", + "start": "開始時間", + "end": "結束時間" + }, + "settings": { + "title": "搜尋設定", + "parallelMode": "並行模式", + "parallelModeDesc": "同時掃描多個錄製片段（速度更快，但 CPU 佔用會顯著升高）", + "threshold": "靈敏度閾值", + "thresholdDesc": "數值越低，可偵測到越小的變化（取值範圍 1-255）", + "minArea": "最小變化區域", + "minAreaDesc": "最小感興趣區域變化佔比，達到該比例才會判定為有效變動", + "frameSkip": "幀跳過", + "frameSkipDesc": "每隔 N 幀進行一次處理。將該值設定為攝影機的幀率，即可實現每秒處理一幀畫面（例如：5 幀 / 秒的攝影機設為 5，30 幀 / 秒的攝影機設為 30）。數值越高處理速度越快，但有可能遺漏短時移動偵測事件。", + "maxResults": "最大結果數", + "maxResultsDesc": "匹配到設定條數的錄影事件後，就自動停止檢索" + }, + "errors": { + "noCamera": "請選擇攝影機", + "noROI": "請繪製感興趣的區域", + "noTimeRange": "請選擇時間範圍", + "invalidTimeRange": "結束時間必須在開始時間之後", + "searchFailed": "搜尋失敗：{{message}}", + "polygonTooSmall": "多邊形至少需要 3 個頂點", + "unknown": "未知錯誤" + }, + "changePercentage": "{{percentage}}% 已變化", + "metrics": { + "title": "搜尋指標", + "segmentsScanned": "已掃描片段數", + "segmentsProcessed": "已處理", + "segmentsSkippedInactive": "已跳過（無活動）", + "segmentsSkippedHeatmap": "已跳過（不在感興趣區域）", + "fallbackFullRange": "備用全範圍掃描", + "framesDecoded": "畫面已解碼", + "wallTime": "搜尋時間", + "segmentErrors": "片段異常", + "seconds": "{{seconds}} 秒" + } +} diff --git a/web/public/locales/zh-Hant/views/replay.json b/web/public/locales/zh-Hant/views/replay.json new file mode 100644 index 0000000000..afe2cee4c6 --- /dev/null +++ b/web/public/locales/zh-Hant/views/replay.json @@ -0,0 +1,59 @@ +{ + "title": "除錯回放", + "description": "回放攝影機錄影以供除錯。目標清單會延時展示已偵測目標的彙總資訊，訊息分頁則即時展示回放錄影對應的 Frigate 內部日誌資訊流。", + "websocket_messages": "訊息", + "dialog": { + "title": "開始除錯回放", + "description": "建立臨時回放攝影機，迴圈播放歷史錄製影片，用於除錯目標偵測與追蹤相關問題。臨時回放的攝影機將沿用原攝影機的偵測配置。請選擇一個時間範圍開始。", + "camera": "原攝影機", + "timeRange": "時間範圍", + "preset": { + "1m": "最後 1 分鐘", + "5m": "最後 5 分鐘", + "timeline": "從時間線", + "custom": "自訂" + }, + "startButton": "開始回放", + "selectFromTimeline": "選擇", + "starting": "開始回放…", + "startLabel": "開始", + "endLabel": "結束", + "toast": { + "error": "除錯回放啟動失敗：{{error}}", + "alreadyActive": "已有回放工作階段正在執行", + "stopError": "除錯回放停止失敗：{{error}}", + "goToReplay": "進入回放" + } + }, + "page": { + "noSession": "沒有正在進行的除錯回放工作階段", + "noSessionDesc": "從歷史回放頁面啟動除錯回放：點選工具列中的操作按鈕，選擇除錯回放即可。", + "goToRecordings": "檢視歷史記錄", + "preparingClip": "正在準備片段…", + "preparingClipDesc": "Frigate 正在拼接所選時間範圍的錄影片段。時間跨度較大時，該過程可能需要一分鐘左右。", + "startingCamera": "開始除錯回放中…", + "startError": { + "title": "除錯回放啟動失敗", + "back": "返回歷史記錄" + }, + "sourceCamera": "源攝影機", + "replayCamera": "回放攝影機", + "initializingReplay": "初始化除錯回放中…", + "stoppingReplay": "正在停止除錯回放…", + "stopReplay": "停止回放", + "confirmStop": { + "title": "要停止除錯回放嗎？", + "description": "這將終止工作階段並清除所有臨時資料。是否確定？", + "confirm": "停止回放", + "cancel": "取消" + }, + "activity": "活動", + "objects": "目標清單", + "audioDetections": "音訊偵測", + "noActivity": "未偵測到活動", + "activeTracking": "活動追蹤中", + "noActiveTracking": "沒有活動追蹤", + "configuration": "配置", + "configurationDesc": "微調除錯回放攝影機的移動偵測與目標追蹤引數。本次調整不會儲存到你的 Frigate 設定檔中。" + } +} diff --git a/web/public/locales/zh-Hant/views/settings.json b/web/public/locales/zh-Hant/views/settings.json index 97829f5360..5252467276 100644 --- a/web/public/locales/zh-Hant/views/settings.json +++ b/web/public/locales/zh-Hant/views/settings.json @@ -11,7 +11,12 @@ "motionTuner": "移動偵測調教器 - Frigate", "object": "除錯 - Frigate", "cameraManagement": "管理鏡頭 - Frigate", - "cameraReview": "相機預覽設置 - Frigate" + "cameraReview": "相機預覽設置 - Frigate", + "globalConfig": "全域性配置 - Frigate", + "cameraConfig": "攝影機配置 - Frigate", + "detectorsAndModel": "偵測器與模型 - Frigate", + "maintenance": "維護 - Frigate", + "profiles": "設定檔 - Frigate" }, "menu": { "ui": "使用者介面", @@ -26,7 +31,65 @@ "triggers": "觸發", "cameraManagement": "管理", "cameraReview": "預覽", - "roles": "角色" + "roles": "角色", + "general": "常規", + "globalConfig": "全域性配置", + "system": "系統", + "integrations": "整合", + "uiSettings": "介面設定", + "profiles": "設定檔", + "globalDetect": "目標偵測", + "globalRecording": "錄製", + "globalSnapshots": "快照", + "globalFfmpeg": "FFmpeg", + "globalMotion": "畫面變動偵測", + "globalObjects": "目標", + "globalReview": "審閱", + "globalAudioEvents": "音訊偵測", + "globalLivePlayback": "即時監控觀看", + "globalTimestampStyle": "時間戳樣式", + "systemDatabase": "資料庫", + "systemTls": "TLS加密連結", + "systemAuthentication": "驗證", + "systemNetworking": "網路", + "systemProxy": "代理", + "systemUi": "介面", + "systemLogging": "日誌", + "systemEnvironmentVariables": "環境變數", + "systemTelemetry": "遙測", + "systemBirdseye": "鳥瞰圖", + "systemFfmpeg": "FFmpeg", + "systemDetectorsAndModel": "偵測器與模型", + "systemMqtt": "MQTT", + "systemGo2rtcStreams": "go2rtc 影片流", + "integrationSemanticSearch": "語意搜尋", + "integrationGenerativeAi": "生成式 AI", + "integrationFaceRecognition": "人臉辨識", + "integrationLpr": "車牌辨識", + "integrationObjectClassification": "目標分類", + "integrationAudioTranscription": "音訊轉錄", + "cameraDetect": "目標偵測", + "cameraFfmpeg": "FFmpeg", + "cameraRecording": "錄製", + "cameraSnapshots": "快照", + "cameraMotion": "畫面變動偵測", + "cameraObjects": "目標", + "cameraConfigReview": "審閱", + "cameraAudioEvents": "音訊偵測", + "cameraAudioTranscription": "音訊轉錄", + "cameraNotifications": "通知", + "cameraLivePlayback": "即時監控觀看", + "cameraBirdseye": "鳥瞰圖", + "cameraFaceRecognition": "人臉辨識", + "cameraLpr": "車牌辨識", + "cameraMqttConfig": "MQTT", + "cameraOnvif": "ONVIF", + "cameraUi": "攝影機頁面", + "cameraTimestampStyle": "時間戳樣式", + "cameraMqtt": "攝影機 MQTT", + "maintenance": "維護", + "mediaSync": "媒體同步", + "regionGrid": "區域網格" }, "dialog": { "unsavedChanges": { @@ -103,22 +166,56 @@ "modelSize": { "label": "模型大小", "small": { - "title": "小" + "title": "小", + "desc": "將使用 小模型。該模型使用的記憶體較少，在 CPU 上也能較快的執行，品質較好。" + }, + "desc": "用於語意搜尋的語言模型大小。", + "large": { + "title": "大", + "desc": "將使用 大模型。該選項使用了完整的 Jina 模型，條件允許的情況下將自動使用 GPU 執行。" } }, "title": "語意搜尋", "desc": "Frigate 中的語意搜尋功能可讓您使用圖像本身、使用者定義的文字描述或自動產生的描述，在審核專案中尋找追蹤物件。", "reindexNow": { "label": "立即重新索引", - "desc": "重新索引會為所有追蹤物件重新產生嵌入向量。此過程在背景運行，可能會佔用大量 CPU 資源，並且耗時較長，具體取決於追蹤物件的數量。" + "desc": "重新索引會為所有追蹤物件重新產生嵌入向量。此過程在背景運行，可能會佔用大量 CPU 資源，並且耗時較長，具體取決於追蹤物件的數量。", + "confirmTitle": "確認重建索引", + "confirmDesc": "確定要為所有追蹤目標重建特徵向量索引資訊嗎？此過程將在後臺進行，但可能會導致CPU滿載並耗費較長時間。您可以在 瀏覽 頁面檢視進度。", + "confirmButton": "重建索引", + "success": "重建索引已成功啟動。", + "alreadyInProgress": "重建索引已在執行中。", + "error": "啟動重建索引失敗：{{errorMessage}}" } }, "faceRecognition": { - "title": "人臉識別" + "title": "人臉識別", + "desc": "人臉辨識功能允許為人物分配名稱，當辨識到他們的面孔時，Frigate 會將人物的名字作為子標籤進行分配。這些資訊會顯示在介面、過濾器以及通知中。", + "modelSize": { + "label": "模型大小", + "desc": "用於人臉辨識的模型大小。", + "small": { + "title": "小", + "desc": "將使用小模型。該選項採用 FaceNet 人臉特徵提取模型，可在大多數 CPU 上高效執行。" + }, + "large": { + "title": "大", + "desc": "將使用大模型。該選項使用 ArcFace 人臉特徵提取模型，條件允許的情況下將自動使用 GPU 執行。" + } + } }, "birdClassification": { "title": "鳥類分類", "desc": "鳥類分類功能使用量化的 TensorFlow 模型識別已知鳥類。識別出已知鳥類後，其通用名稱將作為子標籤添加。此資訊會顯示在使用者介面、篩選器以及通知中。" + }, + "licensePlateRecognition": { + "title": "車牌辨識", + "desc": "Frigate 可以辨識車輛的車牌，並自動將偵測到的字元新增到 辨識的車牌（recognized_license_plate）欄位中，或將已知車牌對應的名稱作為子標籤新增到該車輛目標中。該功能常用於辨識駛入車道的車輛車牌或經過街道的車輛車牌。" + }, + "restart_required": "需要重啟（增強功能設定已儲存）", + "toast": { + "success": "增強功能設定已儲存。請重啟 Frigate 以應用更改。", + "error": "配置更改儲存失敗：{{errorMessage}}" } }, "cameraWizard": { @@ -126,10 +223,12 @@ "testResultLabels": { "resolution": "解析度", "video": "影像", - "audio": "語音" + "audio": "語音", + "fps": "幀率" }, "commonErrors": { - "testFailed": "串流測試失敗: {{error}}" + "testFailed": "串流測試失敗: {{error}}", + "noUrl": "請提供正確的影片流地址" }, "step1": { "description": "輸入相機詳細資訊並選擇自動偵測或手動選擇相機品牌。", @@ -142,15 +241,1539 @@ "password": "密碼", "passwordPlaceholder": "選填", "selectTransport": "選擇協議", - "cameraBrand": "相機品牌" + "cameraBrand": "相機品牌", + "selectBrand": "選擇攝影機品牌用於生成URL地址模板", + "customUrl": "自訂影片流地址", + "brandInformation": "品牌資訊", + "brandUrlFormat": "對於採用RTSP URL格式的攝影機，其格式為：{{exampleUrl}}", + "customUrlPlaceholder": "rtsp://使用者名稱:密碼@主機或IP地址:埠/路徑", + "connectionSettings": "連線設定", + "detectionMethod": "影片流偵測方法", + "onvifPort": "ONVIF 埠", + "probeMode": "探測攝影機", + "manualMode": "手動選擇", + "detectionMethodDescription": "如果攝影機支援 ONVIF 協議，將使用該協議探測攝影機，以自動獲取攝影機影片流地址；若不支援，也可手動選擇攝影機品牌來使用預設地址。如需輸入自訂RTSP地址，請選擇“手動選擇”並選擇“其他”選項。", + "onvifPortDescription": "對於支援ONVIF協議的攝影機，該埠通常為80或8080。", + "useDigestAuth": "使用摘要認證", + "useDigestAuthDescription": "為 ONVIF 協議啟用 HTTP 摘要認證。部分攝影機可能需要專用的 ONVIF 使用者名稱/密碼，而非預設的 admin 帳戶。", + "errors": { + "brandOrCustomUrlRequired": "請選擇攝影機品牌並配置主機/ IP 地址，或選擇“其他”後手動配置影片流地址", + "nameRequired": "攝影機名稱為必填項", + "nameLength": "攝影機名稱要少於64個字元", + "invalidCharacters": "攝影機名稱內有不允許使用的字元", + "nameExists": "該攝影機名稱已存在", + "customUrlRtspRequired": "自訂 URL 必須以“rtsp://”開頭；對於非 RTSP 協議的攝影機流，需手動新增至設定檔。" + } + }, + "description": "請按照以下步驟新增攝影機至 Frigate 中。", + "steps": { + "nameAndConnection": "名稱與連線", + "probeOrSnapshot": "探測或快照", + "streamConfiguration": "影片流配置", + "validationAndTesting": "驗證與測試" + }, + "save": { + "success": "已儲存新攝影機 {{cameraName}}。", + "failure": "儲存攝影機 {{cameraName}} 遇到了錯誤。" + }, + "step2": { + "description": "將根據你選擇的偵測方式，將會自動查詢攝影機可用流配置，或進行手動配置。", + "testSuccess": "影片流測試成功！", + "testFailed": "連線測試失敗，請檢查您的輸入後重試。", + "testFailedTitle": "測試失敗", + "streamDetails": "影片流詳情", + "probing": "正在偵測攝影機中……", + "retry": "重試", + "testing": { + "probingMetadata": "正在查詢攝影機引數……", + "fetchingSnapshot": "正在獲取攝影機快照……" + }, + "probeFailed": "偵測攝影機失敗：{{error}}", + "probingDevice": "尋找裝置中……", + "probeSuccessful": "偵測成功", + "probeError": "偵測遇到錯誤", + "probeNoSuccess": "偵測未成功", + "deviceInfo": "裝置資訊", + "manufacturer": "製造商", + "model": "型號", + "firmware": "韌體", + "profiles": "設定檔", + "ptzSupport": "支援 PTZ", + "autotrackingSupport": "支援自動追蹤", + "presets": "預設配置", + "rtspCandidates": "RTSP候選地址", + "rtspCandidatesDescription": "透過攝影機自動偵測發現了以下RTSP地址。測試連線以檢視影片流引數。", + "noRtspCandidates": "未從攝影機偵測到任何 RTSP 地址。可能是你的帳號密碼錯誤，或者攝影機不支援 ONVIF 協議，亦或是當前採用的 RTSP 地址獲取方式無效。請返回上一步，嘗試手動輸入RTSP地址。", + "candidateStreamTitle": "候選{{number}}", + "useCandidate": "使用", + "uriCopy": "複製", + "uriCopied": "地址已複製到剪貼簿", + "testConnection": "測試連線", + "toggleUriView": "點選切換完整 URI 顯示", + "connected": "已連線", + "notConnected": "未連線", + "errors": { + "hostRequired": "主機/IP地址為必填" + } + }, + "step3": { + "description": "為你的攝影機配置影片流功能並新增額外影片流。", + "streamsTitle": "攝影機影片流", + "addStream": "新增影片流", + "addAnotherStream": "新增其他影片流", + "streamTitle": "{{number}} 號影片流", + "streamUrl": "影片流地址", + "streamUrlPlaceholder": "rtsp://使用者名稱:密碼@主機:埠/路徑", + "selectStream": "選擇一個影片流", + "searchCandidates": "搜尋候選項……", + "noStreamFound": "沒有找到影片流", + "url": "URL地址", + "resolution": "解析度", + "selectResolution": "選擇解析度", + "quality": "品質", + "selectQuality": "選擇品質", + "roles": "功能", + "roleLabels": { + "detect": "目標偵測", + "record": "錄製", + "audio": "音訊偵測" + }, + "testStream": "測試連線", + "testSuccess": "影片流測試成功！", + "testFailed": "影片流測試失敗", + "testFailedTitle": "測試失敗", + "connected": "已連線", + "notConnected": "未連線", + "featuresTitle": "功能特性", + "go2rtc": "減少與攝影機的連線數", + "detectRoleWarning": "必須得有一個影片流設定了“偵測”功能才能繼續操作。", + "rolesPopover": { + "title": "影片流功能", + "detect": "用於目標偵測的主碼流。", + "record": "根據配置設定儲存影片流片段。", + "audio": "用於音訊偵測的音影片流。" + }, + "featuresPopover": { + "title": "影片流功能特性", + "description": "使用 go2rtc 中繼轉流功能，減少與攝影機的網路連線數，提升效率。" + } + }, + "step4": { + "description": "將進行儲存新攝影機配置前的最終驗證與分析，請在儲存前確保所有影片流均已連線。", + "validationTitle": "影片流驗證", + "connectAllStreams": "連線所有影片流", + "reconnectionSuccess": "重新連線成功。", + "reconnectionPartial": "部分影片流重新連線失敗。", + "streamUnavailable": "影片流預覽不可用", + "reload": "重新載入", + "connecting": "連線中……", + "streamTitle": "影片流 {{number}}", + "valid": "透過", + "failed": "失敗", + "notTested": "未測試", + "connectStream": "連線", + "connectingStream": "連線中", + "disconnectStream": "斷開連線", + "estimatedBandwidth": "預估頻寬", + "roles": "功能", + "ffmpegModule": "使用影片流相容模式", + "ffmpegModuleDescription": "若多次嘗試後仍無法載入影片流，可嘗試啟用此功能。啟用後，Frigate 將透過 go2rtc 呼叫 ffmpeg 模組。這可能會提升與部分攝影機影片流的相容性。", + "none": "無", + "error": "錯誤", + "streamValidated": "影片流 {{number}} 驗證成功", + "streamValidationFailed": "影片流 {{number}} 驗證失敗", + "saveAndApply": "儲存新攝影機", + "saveError": "配置無效，請檢查您的設定。", + "issues": { + "title": "影片流驗證", + "videoCodecGood": "影片編解碼器為 {{codec}}。", + "audioCodecGood": "音訊編解碼器為 {{codec}}。", + "resolutionHigh": "使用 {{resolution}} 解析度可能導致資源使用率增加。", + "resolutionLow": "{{resolution}} 解析度可能過低，難以可靠偵測小型目標或物體。", + "resolutionUnknown": "無法偵測此影片流的解析度。你需要在設定或設定檔中手動指定偵測解析度。", + "noAudioWarning": "偵測到該影片流無音訊訊號，錄製影片將沒有聲音。", + "audioCodecRecordError": "錄製功能需要 AAC 音訊編解碼器以實現音訊支援。", + "audioCodecRequired": "要實現音訊偵測功能，必須要有音訊流。", + "restreamingWarning": "為錄製流開啟“減少與攝影機的連線數”可能會略微增加 CPU 使用率。", + "brands": { + "reolink-rtsp": "不建議使用 Reolink 的 RTSP 協議。請在攝影機後臺設定中啟用 HTTP協議，並重新啟動向導。", + "reolink-http": "Reolink HTTP 影片流應該使用 FFmpeg 以獲得更好的相容性，為此影片流啟用“使用流相容模式”。" + }, + "dahua": { + "substreamWarning": "子碼流1當前被鎖定為低解析度。多數大華、安訊士、EmpireTech品牌的攝影機都支援額外的子碼流，這些子碼流需要在攝影機設定中手動啟用。如果你的裝置支援，建議你檢查並使用這些高解析度子碼流。" + }, + "hikvision": { + "substreamWarning": "子碼流1當前被鎖定為低解析度。多數海康威視的攝影機都支援額外的子碼流，這些子碼流需要在攝影機設定中手動啟用。如果你的裝置支援，建議你檢查並使用這些高解析度子碼流。" + } + } } }, "triggers": { "toast": { "error": { "deleteTriggerFailed": "刪除觸發器失敗：{{errorMessage}}", - "updateTriggerFailed": "更新觸發器失敗：{{errorMessage}}" + "updateTriggerFailed": "更新觸發器失敗：{{errorMessage}}", + "createTriggerFailed": "建立觸發器失敗：{{errorMessage}}" + }, + "success": { + "createTrigger": "觸發器 {{name}} 建立成功。", + "updateTrigger": "觸發器 {{name}} 更新成功。", + "deleteTrigger": "觸發器 {{name}} 已刪除。" + } + }, + "documentTitle": "觸發器", + "semanticSearch": { + "title": "語意搜尋已關閉", + "desc": "必須啟用語意搜尋功能才能使用觸發器。" + }, + "management": { + "title": "觸發器", + "desc": "管理 {{camera}} 的觸發器。你可以選擇“縮圖”型別，將透過與追蹤目標相似的縮圖來觸發；也可以透過“描述”型別，與你描述的文字相似來觸發（中文描述需要使用 jina v2模型，對配置要求更高）。" + }, + "addTrigger": "新增觸發器", + "table": { + "name": "名稱", + "type": "型別", + "content": "觸發內容", + "threshold": "閾值", + "actions": "動作", + "noTriggers": "此攝影機未配置任何觸發器。", + "edit": "編輯", + "deleteTrigger": "刪除觸發器", + "lastTriggered": "最後一個觸發項" + }, + "type": { + "thumbnail": "縮圖", + "description": "描述" + }, + "actions": { + "notification": "傳送通知", + "sub_label": "新增子標籤", + "attribute": "新增屬性" + }, + "dialog": { + "createTrigger": { + "title": "建立觸發器", + "desc": "為攝影機 {{camera}} 建立觸發器" + }, + "editTrigger": { + "title": "編輯觸發器", + "desc": "編輯攝影機 {{camera}} 的觸發器設定" + }, + "deleteTrigger": { + "title": "刪除觸發器", + "desc": "你確定要刪除觸發器 {{triggerName}} 嗎？此操作不可撤銷。" + }, + "form": { + "name": { + "title": "名稱", + "placeholder": "觸發器名稱", + "description": "請輸入用於辨識此觸發器的唯一名稱或描述", + "error": { + "minLength": "該欄位至少需要兩個字元。", + "invalidCharacters": "該欄位只能包含字母、數字、下劃線和連字元。", + "alreadyExists": "此攝影機已存在同名觸發器。" + } + }, + "enabled": { + "description": "開啟/關閉此觸發器" + }, + "type": { + "title": "型別", + "placeholder": "選擇觸發型別", + "description": "當偵測到相似的追蹤目標描述時觸發", + "thumbnail": "當偵測到相似的追蹤目標縮圖時觸發" + }, + "content": { + "title": "內容", + "imagePlaceholder": "選擇圖片", + "textPlaceholder": "輸入文字內容", + "imageDesc": "僅顯示最近的 100 張縮圖。如果找不到需要的圖片，請前往“瀏覽”頁面檢視更早的目標，並從選單中設定觸發器。", + "textDesc": "輸入文字，當偵測到相似的追蹤目標描述時觸發此操作。", + "error": { + "required": "內容為必填項。" + } + }, + "threshold": { + "title": "閾值", + "desc": "設定此觸發器的相似度閾值。閾值越高，觸發所需的匹配就越精確。", + "error": { + "min": "閾值必須大於 0", + "max": "閾值必須小於 1" + } + }, + "actions": { + "title": "動作", + "desc": "預設情況下，Frigate 會為所有觸發器傳送 MQTT 訊息。子標籤會將觸發器名稱新增到目標標籤中。屬性是可搜尋的元資料，獨立儲存在追蹤目標的元資料中。", + "error": { + "min": "必須至少選擇一項動作。" + } + } + } + }, + "wizard": { + "title": "建立觸發器", + "step1": { + "description": "配置觸發器的基礎設定。" + }, + "step2": { + "description": "設定觸發此操作的內容。" + }, + "step3": { + "description": "配置此觸發器的相似度閾值與執行動作。" + }, + "steps": { + "nameAndType": "名稱與型別", + "configureData": "配置資料", + "thresholdAndActions": "閾值與動作" + } + } + }, + "button": { + "overriddenGlobal": "已覆蓋全域性通用配置", + "overriddenGlobalTooltip": "當前攝影機配置，將優先覆蓋全域性通用設定", + "overriddenGlobalHeading_other": "此攝影機覆蓋了全域性設定中的 {{count}} 個欄位：", + "overriddenGlobalNoDeltas": "此攝影機覆蓋了全域性設定，但所有欄位值都相同。", + "overriddenBaseConfig": "已覆蓋預設配置", + "overriddenBaseConfigTooltip": "當前 {{profile}} 設定檔會覆蓋本節所有設定", + "overriddenBaseConfigHeading_other": "{{profile}} 設定檔覆蓋了基礎設定中的 {{count}} 個欄位：", + "overriddenBaseConfigNoDeltas": "{{profile}} 設定檔覆蓋了此區段，但所有欄位值與基礎設定相同。", + "overriddenInCameras": { + "label_other": "已在 {{count}} 個攝影機中單獨配置", + "tooltip_other": "{{count}} 個攝影機在此項中存在單獨配置，點選檢視詳情。", + "heading_other": "此全域性設定項下有 {{count}} 個攝影機存在自訂單獨配置。", + "othersField_other": "其餘 {{count}} 個", + "profilePrefix": "{{profile}} 配置方案：{{fields}}" + } + }, + "saveAllPreview": { + "title": "未儲存的更改", + "triggerLabel": "檢視待處理的更改", + "empty": "沒有待處理的更改。", + "scope": { + "label": "作用範圍", + "global": "全域性", + "camera": "攝影機：{{cameraName}}" + }, + "profile": { + "label": "配置" + }, + "field": { + "label": "欄位" + }, + "value": { + "label": "新值", + "reset": "重設" + } + }, + "cameraManagement": { + "title": "管理攝影機", + "description": "新增、編輯和刪除攝影機，控制哪些攝影機已啟用，並設定按設定檔與攝影機類型的覆蓋。若要設定串流、偵測、動作及其他攝影機特定設定，請在「攝影機設定」下選擇對應的區段。", + "addCamera": "新增新攝影機", + "deleteCamera": "刪除攝影機", + "deleteCameraDialog": { + "title": "刪除攝影機", + "description": "刪除攝影機將永久移除該攝影機的所有錄影、跟蹤目標以及配置。任何與該攝影機關聯的 go2rtc 流可能仍需手動刪除。", + "selectPlaceholder": "選擇攝影機…", + "confirmTitle": "你確定嗎？", + "confirmWarning": "刪除 {{cameraName}} 後將無法撤銷。", + "deleteExports": "同時刪除該攝影機匯出的影片", + "confirmButton": "永久刪除", + "success": "攝影機 {{cameraName}} 刪除完成", + "error": "刪除攝影機 {{cameraName}} 失敗" + }, + "editCamera": "編輯攝影機：", + "selectCamera": "選擇攝影機", + "backToSettings": "返回攝影機設定", + "streams": { + "title": "開啟或關閉攝影機", + "enableLabel": "開啟攝影機", + "enableDesc": "暫時停用已開啟的攝影機，直到 Frigate 重啟。停用攝影機會完全停止 Frigate 對該攝影機影片流的處理。偵測、錄影和除錯功能將不可用。
    注意：這不會停用 go2rtc 的轉推流。", + "disableLabel": "關閉攝影機", + "disableDesc": "開啟在當前在介面中不可見且在配置中被停用的攝影機。啟用後需要重啟 Frigate 才能生效。", + "enableSuccess": "已在配置中啟用 {{cameraName}}。請重啟 Frigate 以應用更改。", + "friendlyName": { + "edit": "修改攝影機顯示名稱", + "title": "修改顯示名稱", + "description": "設定該攝像機在 Frigate 使用者介面中顯示的名稱。若留空，則使用攝像機 ID。", + "rename": "重新命名" } + }, + "cameraConfig": { + "add": "新增攝影機", + "edit": "編輯攝影機", + "description": "配置攝影機設定，包括影片流輸入和功能選擇。", + "name": "攝影機名稱", + "nameRequired": "攝影機名稱為必填項", + "nameLength": "攝影機名稱必須少於64個字元。", + "namePlaceholder": "例如：大門、後院等", + "enabled": "開啟", + "ffmpeg": { + "inputs": "影片流輸入", + "path": "影片流地址", + "pathRequired": "影片流地址為必填項", + "pathPlaceholder": "rtsp://...", + "roles": "功能", + "rolesRequired": "至少選擇一個功能", + "rolesUnique": "每個功能（音訊audio、偵測detect、錄製record）只能分配給一個影片流", + "addInput": "新增輸入影片流", + "removeInput": "移除輸入影片流", + "inputsRequired": "至少需要一個輸入影片流" + }, + "go2rtcStreams": "go2rtc 影片流", + "streamUrls": "影片流地址", + "addUrl": "新增地址", + "addGo2rtcStream": "新增 go2rtc 影片流", + "toast": { + "success": "攝影機 {{cameraName}} 已儲存" + } + }, + "profiles": { + "title": "設定檔的攝影機覆蓋項", + "selectLabel": "選擇設定檔", + "description": "配置在啟用某個設定檔時，哪些攝影機應被開啟或關閉。設定為“繼承”的攝影機會沿用它原本的啟用/停用狀態。", + "inherit": "繼承", + "enabled": "開啟", + "disabled": "關閉" + }, + "cameraType": { + "title": "攝影機型別", + "label": "攝影機型別", + "description": "為每路攝影機設定型別。專用車牌辨識（LPR）攝影機為單用途裝置，配備高倍光學變焦，可抓拍遠處車輛的車牌。絕大多數攝影機應選用通用型別；只有專為車牌辨識部署、且畫面聚焦對準車牌的攝影機，才需選擇專用 LPR 型別。", + "normal": "通用", + "dedicatedLpr": "車牌辨識專用", + "saveSuccess": "已更新 {{cameraName}} 的攝影機型別，請重啟 Frigate 以使更改生效。" + } + }, + "cameraReview": { + "title": "攝影機審閱設定", + "object_descriptions": { + "title": "生成式AI目標描述", + "desc": "臨時啟用或停用此攝影機的 生成式AI目標描述 功能，直到 Frigate 重啟。停用後，系統將不再請求該攝影機追蹤目標和物體的AI生成描述。" + }, + "review_descriptions": { + "title": "生成式 AI 審閱總結", + "desc": "臨時開關該攝影機的 生成式 AI 審閱總結 功能，直到 Frigate 重啟。停用後，系統將不再請求 AI 生成該攝影機審閱項目的總結。" + }, + "review": { + "title": "審閱", + "desc": "臨時開關該攝影機的警報與偵測項生成功能，直到 Frigate 重啟後恢復。停用期間，系統將不再生成新的審閱項目。 ", + "alerts": "警報 ", + "detections": "偵測 " + }, + "reviewClassification": { + "title": "審閱分類", + "desc": "Frigate 將審閱項的嚴重程度分為“警報”和“偵測”兩個等級。預設情況下，所有的人、汽車 目標都將視為警報。你可以透過修改設定檔配置區域來細分。", + "noDefinedZones": "此攝影機未設定任何監控區。", + "objectAlertsTips": "所有 {{alertsLabels}} 類目標或物體在 {{cameraName}} 下都將視為警報。", + "zoneObjectAlertsTips": "所有 {{alertsLabels}} 類目標或物體在 {{cameraName}} 下的 {{zone}} 區域內都將視為警報。", + "objectDetectionsTips": "所有在攝影機 {{cameraName}} 上，偵測到的 {{detectionsLabels}} 目標或物體，無論它位於哪個區，都將顯示為偵測。", + "zoneObjectDetectionsTips": { + "text": "所有在攝影機 {{cameraName}} 下的 {{zone}} 區域內偵測到未分類的 {{detectionsLabels}} 目標或物體，都將顯示為偵測。", + "notSelectDetections": "所有在攝影機 {{cameraName}}下的 {{zone}} 區域內偵測到的 {{detectionsLabels}} 目標或物體，如果它未歸類為警報，無論它位於哪個區，都將顯示為偵測。", + "regardlessOfZoneObjectDetectionsTips": "在攝影機 {{cameraName}} 上，所有未分類的 {{detectionsLabels}} 偵測目標或物體，無論出現在哪個區域，都將顯示為偵測。" + }, + "unsavedChanges": "攝影機 {{camera}} 的審閱分類設定尚未儲存", + "selectAlertsZones": "選擇警報區", + "selectDetectionsZones": "選擇偵測區", + "limitDetections": "限制僅在特定區域內進行偵測", + "toast": { + "success": "審閱分類設定已儲存，重啟後生效。" + } + } + }, + "masksAndZones": { + "filter": { + "all": "所有遮罩和區域" + }, + "restart_required": "需要重啟（遮罩與區域已修改）", + "disabledInConfig": "該項目已在設定檔中被停用", + "addDisabledProfile": "先新增到基礎配置中，然後在設定檔中進行覆蓋", + "profileBase": "（基礎）", + "profileOverride": "（覆蓋）", + "toast": { + "success": { + "copyCoordinates": "已複製 {{polyName}} 的座標到剪貼簿。" + }, + "error": { + "copyCoordinatesFailed": "無法複製座標到剪貼簿。" + } + }, + "motionMaskLabel": "畫面變動遮罩 {{number}}", + "objectMaskLabel": "目標/物體遮罩 {{number}}", + "form": { + "id": { + "error": { + "mustNotBeEmpty": "ID 不能為空。", + "alreadyExists": "此攝影機已存在使用該 ID 的遮罩。" + } + }, + "name": { + "error": { + "mustNotBeEmpty": "名稱不能為空。" + } + }, + "zoneName": { + "error": { + "mustBeAtLeastTwoCharacters": "區域名稱必須至少包含 2 個字元。", + "mustNotBeSameWithCamera": "區域名稱不能與攝影機名稱相同。", + "alreadyExists": "該攝影機已有相同的區域名稱。", + "mustNotContainPeriod": "區域名稱不能包含句點。", + "hasIllegalCharacter": "區域名稱包含非法字元。", + "mustHaveAtLeastOneLetter": "區域名稱必須至少包含一個字母。" + } + }, + "distance": { + "error": { + "text": "距離必須大於或等於 0.1。", + "mustBeFilled": "所有距離欄位必須填寫才能使用速度估算。" + } + }, + "inertia": { + "error": { + "mustBeAboveZero": "慣性必須大於 0。" + } + }, + "loiteringTime": { + "error": { + "mustBeGreaterOrEqualZero": "徘徊時間必須大於或等於 0。" + } + }, + "speed": { + "error": { + "mustBeGreaterOrEqualTo": "速度閾值必須大於或等於0.1。" + } + }, + "polygonDrawing": { + "type": { + "zone": "區域", + "motion_mask": "畫面變動遮罩", + "object_mask": "目標遮罩" + }, + "removeLastPoint": "刪除最後一個點", + "reset": { + "label": "清除所有點" + }, + "snapPoints": { + "true": "啟用點對齊", + "false": "停用點對齊" + }, + "delete": { + "title": "確認刪除", + "desc": "你確定要刪除{{type}} “{{name}}” 嗎？", + "success": "{{name}} 已被刪除。" + }, + "revertOverride": { + "title": "恢復為預設配置", + "desc": "這將移除針對 {{type}} {{name}} 的配置覆蓋，並恢復為基礎配置。" + }, + "error": { + "mustBeFinished": "多邊形繪製必須完成閉合後才能儲存。" + } + } + }, + "zones": { + "label": "區域", + "documentTitle": "編輯區域 - Frigate", + "desc": { + "title": "該功能允許你定義特定區域，以便你可以確定特定目標或物體是否在該區域內。", + "documentation": "文件" + }, + "add": "新增區域", + "edit": "編輯區域", + "point_other": "{{count}} 點", + "clickDrawPolygon": "在影像上點選新增點繪製多邊形區域。", + "name": { + "title": "區域名稱", + "inputPlaceHolder": "請輸入名稱…", + "tips": "名稱至少包含兩個字元，且不能和攝影機名或該攝影機下的其他區域同名。" + }, + "enabled": { + "title": "開啟", + "description": "指示該區域在設定檔中是否處於啟用並啟用的狀態。若被停用，則無法透過 MQTT 啟用。停用的區域在執行時會被忽略。" + }, + "inertia": { + "title": "慣性", + "desc": "辨識指定目標前該目標必須在這個區域內出現了多少幀。預設值：3" + }, + "loiteringTime": { + "title": "停留時間", + "desc": "設定目標必須在區域中至少要活動多少時間（單位為秒）。預設值：0" + }, + "objects": { + "title": "目標/物體", + "desc": "將在此區域應用的目標/物體類別清單。" + }, + "allObjects": "所有目標/物體", + "speedEstimation": { + "title": "速度估算", + "desc": "啟用此區域內物體的速度估算。該區域必須恰好包含 4 個點。", + "lineADistance": "A線距離（{{unit}}）", + "lineBDistance": "B線距離（{{unit}}）", + "lineCDistance": "C線距離（{{unit}}）", + "lineDDistance": "D線距離（{{unit}}）" + }, + "speedThreshold": { + "title": "速度閾值 ({{unit}})", + "desc": "指定物體在此區域內被視為有效的最低速度。", + "toast": { + "error": { + "pointLengthError": "此區域的速度估算已停用。啟用速度估算的區域必須恰好包含 4 個點。", + "loiteringTimeError": "徘徊時間大於 0 的區域不應與速度估算一起使用。" + } + } + }, + "toast": { + "success": "區域 ({{zoneName}}) 已儲存。" + } + }, + "motionMasks": { + "label": "畫面變動遮罩", + "documentTitle": "編輯畫面變動遮罩 - Frigate", + "desc": { + "title": "畫面變動遮罩用於防止觸發不必要的畫面變動偵測。過度的設定遮罩將使目標更加難以被追蹤。", + "documentation": "文件" + }, + "add": "新增畫面變動遮罩", + "edit": "編輯畫面變動遮罩", + "defaultName": "畫面變動遮罩 {{number}}", + "context": { + "title": "畫面變動遮罩用於防止不需要的畫面變動觸發偵測（例如：容易被風吹動的樹枝、攝影機畫面上顯示的時間等）。畫面變動遮罩應謹慎使用，過度的遮罩會導致追蹤目標變得更加困難。" + }, + "point_other": "{{count}} 點", + "clickDrawPolygon": "在影像上點選新增點繪製多邊形區域。", + "name": { + "title": "名稱", + "description": "為該畫面變動遮罩設定別名（可選）。", + "placeholder": "輸入名稱…" + }, + "polygonAreaTooLarge": { + "title": "畫面變動遮罩的大小達到了攝影機畫面的{{polygonArea}}%。不建議設定太大的畫面變動遮罩。", + "tips": "畫面變動遮罩並不會使該區域無法偵測到指定目標/物體，如有需要，你應該使用 區域 來限制偵測的目標/物體型別。" + }, + "toast": { + "success": { + "title": "{{polygonName}} 已儲存。", + "noName": "畫面變動遮罩已儲存。" + } + } + }, + "objectMasks": { + "label": "目標遮罩", + "documentTitle": "編輯目標遮罩 - Frigate", + "desc": { + "title": "目標過濾器用於防止特定位置出現對某個目標/物體的誤報。", + "documentation": "文件" + }, + "add": "新增目標遮罩", + "edit": "編輯目標遮罩", + "context": "目標過濾器用於防止特定位置的指定目標會誤報。", + "point_other": "{{count}} 點", + "clickDrawPolygon": "在影像上點選新增點繪製多邊形區域。", + "name": { + "title": "名稱", + "description": "為該目標遮罩設定別名（可選）。", + "placeholder": "輸入名稱…" + }, + "objects": { + "title": "目標/物體", + "desc": "將應用於此目標遮罩的目標或物體型別。", + "allObjectTypes": "所有目標或物體型別" + }, + "toast": { + "success": { + "title": "{{polygonName}} 已儲存。", + "noName": "目標遮罩已儲存。" + } + } + }, + "masks": { + "enabled": { + "title": "開啟", + "description": "指示該遮罩在設定檔中是否處於啟用並啟用的狀態。若被停用，則無法透過 MQTT 啟用。停用的遮罩在執行時會被忽略。" + } + } + }, + "motionDetectionTuner": { + "title": "畫面變動偵測調整", + "unsavedChanges": "{{camera}} 的畫面變動調整設定未儲存", + "desc": { + "title": "Frigate 將首先使用畫面變動偵測來確認每一幀畫面中是否有變動的區域，然後再對該區域使用目標偵測。", + "documentation": "閱讀有關畫面變動偵測的文件" + }, + "Threshold": { + "title": "閾值", + "desc": "閾值決定像素亮度變化達到多少時會被認為是畫面變動。預設值：30" + }, + "contourArea": { + "title": "輪廓面積", + "desc": "輪廓面積值用於判斷產生了多大的變化區域可被認定為畫面變動。預設值：10" + }, + "improveContrast": { + "title": "提高對比度", + "desc": "提高較暗場景的對比度。預設值：啟用" + }, + "toast": { + "success": "畫面變動設定已儲存。" + } + }, + "debug": { + "title": "除錯", + "detectorDesc": "Frigate 將使用偵測器（{{detectors}}）來偵測攝影機影片流中的目標或物體。", + "desc": "除錯介面將即時顯示被追蹤的目標以及統計資訊，目標清單將顯示偵測到的目標和延遲顯示的概覽。", + "openCameraWebUI": "開啟 {{camera}} 的管理頁面", + "debugging": "除錯選項", + "objectList": "目標清單", + "noObjects": "沒有目標", + "audio": { + "title": "音訊", + "noAudioDetections": "未偵測到音訊事件", + "score": "分值", + "currentRMS": "當前均方根值（RMS）", + "currentdbFS": "當前滿量程相對分貝值（dbFS）" + }, + "boundingBoxes": { + "title": "邊界框", + "desc": "將在被追蹤的目標周圍顯示邊界框", + "colors": { + "label": "目標邊界框顏色定義", + "info": "
  • 啟用後，將會為每個目標的標籤分配不同的顏色
  • 深藍色細線代表該目標或物體在當前時間點未被偵測到
  • 灰色細線代表偵測到的目標或物體靜止不動
  • 粗線表示在啟動自動追蹤時，該目標為自動追蹤的主體
    • " + } + }, + "timestamp": { + "title": "時間戳", + "desc": "在影像上顯示時間戳" + }, + "zones": { + "title": "區域", + "desc": "顯示已定義的區域圖層" + }, + "mask": { + "title": "畫面變動遮罩", + "desc": "顯示畫面變動遮罩圖層" + }, + "motion": { + "title": "畫面變動區域框", + "desc": "在偵測到畫面變動的區域顯示區域框", + "tips": "

    畫面變動區域框


    將在當前偵測到畫面變動的區域內顯示紅色區域框。

    " + }, + "regions": { + "title": "範圍", + "desc": "顯示傳送給目標偵測器感興趣的區域框", + "tips": "

    範圍框


    將在幀中傳送到目標偵測器的感興趣範圍上疊加綠色框。

    " + }, + "paths": { + "title": "行動軌跡", + "desc": "顯示被追蹤目標的行動軌跡關鍵點", + "tips": "

    行動軌跡

    將使用線條和點來標示被追蹤目標在其活動週期內移動的關鍵位置點。

    " + }, + "objectShapeFilterDrawing": { + "title": "允許繪製“目標形狀過濾器”", + "desc": "在影像上繪製矩形，以檢視區域和比例詳細資訊", + "tips": "啟用此選項，能夠在攝影機畫面上繪製矩形，將顯示其區域和比例。你可以透過使用這些值在配置中設定目標形狀過濾器的引數。", + "score": "分數", + "ratio": "比例", + "area": "區域" + } + }, + "timestampPosition": { + "tl": "左上角", + "tr": "右上角", + "bl": "左下角", + "br": "右下角" + }, + "users": { + "title": "使用者", + "management": { + "title": "使用者管理", + "desc": "管理此 Frigate 例項的使用者帳戶。" + }, + "addUser": "新增使用者", + "updatePassword": "修改密碼", + "toast": { + "success": { + "createUser": "使用者 {{user}} 建立成功", + "deleteUser": "使用者 {{user}} 刪除成功", + "updatePassword": "已成功修改密碼。", + "roleUpdated": "已更新 {{user}} 的權限組" + }, + "error": { + "setPasswordFailed": "儲存密碼出現錯誤：{{errorMessage}}", + "createUserFailed": "建立使用者失敗：{{errorMessage}}", + "deleteUserFailed": "刪除使用者失敗：{{errorMessage}}", + "roleUpdateFailed": "更新權限組失敗：{{errorMessage}}" + } + }, + "table": { + "username": "使用者名稱", + "actions": "操作", + "role": "權限組", + "noUsers": "未找到使用者。", + "changeRole": "更改使用者權限組", + "password": "修改密碼", + "deleteUser": "刪除使用者" + }, + "dialog": { + "form": { + "user": { + "title": "使用者名稱", + "desc": "僅允許使用字母、數字、句點和下劃線。", + "placeholder": "請輸入使用者名稱" + }, + "password": { + "title": "密碼", + "placeholder": "請輸入密碼", + "show": "顯示密碼", + "hide": "隱藏密碼", + "confirm": { + "title": "確認密碼", + "placeholder": "請再次輸入密碼" + }, + "strength": { + "title": "密碼強度： ", + "weak": "弱", + "medium": "中等", + "strong": "強", + "veryStrong": "非常強" + }, + "requirements": { + "title": "密碼要求：", + "length": "至少需要 12 位字元" + }, + "match": "密碼匹配", + "notMatch": "密碼不匹配" + }, + "newPassword": { + "title": "新密碼", + "placeholder": "請輸入新密碼", + "confirm": { + "placeholder": "請再次輸入新密碼" + } + }, + "currentPassword": { + "title": "當前密碼", + "placeholder": "請輸入當前密碼" + }, + "usernameIsRequired": "使用者名稱為必填項", + "passwordIsRequired": "必須輸入密碼" + }, + "createUser": { + "title": "建立新使用者", + "desc": "建立一個新使用者帳戶，並指定一個權限組以控制存取 Frigate 頁面的權限。", + "usernameOnlyInclude": "使用者名稱只能包含字母、數字和 _", + "confirmPassword": "請確認你的密碼" + }, + "deleteUser": { + "title": "刪除該使用者", + "desc": "此操作無法撤銷。這將永久刪除使用者帳戶並移除所有相關資料。", + "warn": "你確定要刪除 {{username}} 嗎？" + }, + "passwordSetting": { + "cannotBeEmpty": "密碼不能為空", + "doNotMatch": "兩次輸入密碼不匹配", + "currentPasswordRequired": "當前密碼為必填", + "incorrectCurrentPassword": "當前密碼錯誤", + "passwordVerificationFailed": "驗證密碼失敗", + "updatePassword": "更新 {{username}} 的密碼", + "setPassword": "設定密碼", + "desc": "建立一個強密碼來保護此帳戶。", + "multiDeviceWarning": "其他已登入的裝置將需要在 {{refresh_time}} 內重新登入。", + "multiDeviceAdmin": "你也可以透過輪換你的 JWT 金鑰，強制所有使用者立即重新登入驗證。" + }, + "changeRole": { + "title": "更改使用者權限組", + "select": "選擇權限組", + "desc": "更新 {{username}} 的權限", + "roleInfo": { + "intro": "為該使用者選擇一個合適的權限組：", + "admin": "管理員", + "adminDesc": "完全功能與存取權限。", + "viewer": "成員", + "viewerDesc": "僅能夠檢視即時監控面板、審閱、瀏覽和匯出功能。", + "customDesc": "自訂特定攝影機的存取規則。" + } + } + } + }, + "roles": { + "management": { + "title": "成員權限組管理", + "desc": "管理此 Frigate 例項的自訂權限組及其攝影機存取權限。" + }, + "addRole": "新增權限組", + "table": { + "role": "權限組", + "cameras": "攝影機", + "actions": "操作", + "noRoles": "沒有找到自訂權限組。", + "editCameras": "編輯攝影機", + "deleteRole": "刪除權限組" + }, + "toast": { + "success": { + "createRole": "權限組 {{role}} 建立成功", + "updateCameras": "已更新攝影機至 {{role}} 權限組", + "deleteRole": "已刪除 {{role}} 權限組", + "userRolesUpdated_other": "已將分配到此權限組的 {{count}} 位使用者更新為 “成員”，該權限組可存取所有攝影機。" + }, + "error": { + "createRoleFailed": "建立權限組失敗：{{errorMessage}}", + "updateCamerasFailed": "更新攝影機失敗：{{errorMessage}}", + "deleteRoleFailed": "刪除權限組失敗：{{errorMessage}}", + "userUpdateFailed": "更新使用者權限組失敗：{{errorMessage}}" + } + }, + "dialog": { + "createRole": { + "title": "建立新權限組", + "desc": "新增新權限組並分配攝影機存取權限。" + }, + "editCameras": { + "title": "編輯權限組的攝影機", + "desc": "為權限組 {{role}} 更新攝影機存取權限。" + }, + "deleteRole": { + "title": "刪除權限組", + "desc": "此操作無法撤銷。這將永久刪除該權限組，並將所有擁有此權限組的使用者分配到 “成員” （view）權限組，該權限組將賦予使用者檢視所有攝影機的權限。", + "warn": "你確定要刪除權限組 {{role}} 嗎？", + "deleting": "刪除中…" + }, + "form": { + "role": { + "title": "權限組名稱", + "placeholder": "輸入權限組名稱", + "desc": "僅允許使用字母、數字、句點和下劃線。", + "roleIsRequired": "必須輸入權限組名稱", + "roleOnlyInclude": "權限組名稱僅支援字母、數字、英文句號和下劃線", + "roleExists": "該權限組名稱已存在。" + }, + "cameras": { + "title": "攝影機", + "desc": "請選擇該權限組能夠存取的攝影機。至少需要選擇一個攝影機。", + "required": "至少要選擇一個攝影機。" + } + } + } + }, + "notification": { + "title": "通知", + "notificationSettings": { + "title": "通知設定", + "desc": "Frigate 在瀏覽器中執行或作為 PWA 安裝時，可以原生向您的裝置傳送推送通知。" + }, + "notificationUnavailable": { + "title": "通知功能不可用", + "desc": "網頁推送通知需要安全連線（https://…）。這是瀏覽器的限制。請透過安全方式存取 Frigate 以使用通知功能。" + }, + "globalSettings": { + "title": "全域性設定", + "desc": "臨時暫停所有已註冊裝置上特定攝影機的通知。" + }, + "email": { + "title": "電子郵箱", + "placeholder": "例如：example@email.com", + "desc": "需要輸入有效的電子郵件，在推送服務出現問題時，將使用此電子郵件進行通知。" + }, + "cameras": { + "title": "攝影機", + "noCameras": "沒有可用的攝影機", + "desc": "選擇要啟用通知的攝影機。" + }, + "deviceSpecific": "裝置專用設定", + "registerDevice": "註冊該裝置", + "unregisterDevice": "取消註冊該裝置", + "sendTestNotification": "傳送測試通知", + "unsavedRegistrations": "未儲存通知註冊", + "unsavedChanges": "未儲存通知設定更改", + "active": "通知已啟用", + "suspended": "通知已暫停 {{time}}", + "suspendTime": { + "suspend": "暫停", + "5minutes": "暫停 5 分鐘", + "10minutes": "暫停 10 分鐘", + "30minutes": "暫停 30 分鐘", + "1hour": "暫停 1 小時", + "12hours": "暫停 12 小時", + "24hours": "暫停 24 小時", + "untilRestart": "暫停直到重啟" + }, + "cancelSuspension": "取消暫停", + "toast": { + "success": { + "registered": "已成功註冊通知。需要重啟 Frigate 才能傳送任何通知（包括測試通知）。", + "settingSaved": "通知設定已儲存。" + }, + "error": { + "registerFailed": "通知註冊失敗。" + } + } + }, + "frigatePlus": { + "title": "Frigate+ 設定", + "description": "Frigate+ 是一項訂閱服務，可為你的 Frigate 例項提供額外的功能和能力，包括使用基於你自己的資料訓練的自訂目標偵測模型。你可以在此管理 Frigate+ 的模型設定。", + "cardTitles": { + "api": "API", + "currentModel": "當前模型", + "otherModels": "其他模型", + "configuration": "配置" + }, + "apiKey": { + "title": "Frigate+ API 金鑰", + "validated": "Frigate+ API 金鑰已偵測並驗證透過", + "notValidated": "未偵測到 Frigate+ API 金鑰或驗證未透過", + "desc": "Frigate+ API 金鑰用於啟用與 Frigate+ 服務的整合。", + "plusLink": "瞭解更多關於 Frigate+" + }, + "snapshotConfig": { + "title": "快照配置", + "desc": "提交到 Frigate+ 需要同時在配置中開啟快照功能。", + "cleanCopyWarning": "部分攝影機未開啟快照功能", + "table": { + "camera": "攝影機", + "snapshots": "快照" + } + }, + "modelInfo": { + "title": "模型資訊", + "modelType": "模型型別", + "trainDate": "訓練日期", + "baseModel": "基礎模型", + "plusModelType": { + "baseModel": "基礎模型", + "userModel": "定向調優" + }, + "supportedDetectors": "支援的偵測器", + "cameras": "攝影機", + "loading": "正在載入模型資訊…", + "error": "載入模型資訊失敗", + "noModelLoaded": "目前未載入 Frigate+ 模型。", + "availableModels": "可用模型", + "loadingAvailableModels": "正在載入可用模型…", + "selectModel": "選擇模型", + "noModelsAvailable": "無可用模型", + "filter": { + "ariaLabel": "依類型篩選模型", + "baseModels": "基礎模型", + "fineTunedModels": "微調模型" + }, + "modelSelect": "您可以在Frigate+上選擇可用的模型。請注意，只能選擇與當前偵測器配置相容的模型。" + }, + "changeInDetectorsAndModel": "變更模型", + "unsavedChanges": "未儲存Frigate+變更設定", + "restart_required": "需要重啟（Frigate+模型已修改）", + "toast": { + "success": "Frigate+ 設定已儲存。請重啟 Frigate 以應用更改。", + "error": "配置更改儲存失敗：{{errorMessage}}" + } + }, + "detectorsAndModel": { + "title": "偵測器與模型", + "description": "設定執行物件偵測的偵測器後端及其使用的模型。變更會一起儲存以確保偵測器與模型保持同步。", + "cardTitles": { + "detector": "偵測器硬體", + "model": "偵測模型" + }, + "tabs": { + "plus": "Frigate+", + "custom": "自訂模型" + }, + "mismatch": { + "warning": "目前的 Frigate+ 模型「{{model}}」需要 {{required}} 偵測器。請在下方選擇相容的模型，或在儲存前切換到「自訂模型」。" + }, + "plusModel": { + "requiresDetector": "需要：{{detector}}", + "noModelSelected": "選擇 Frigate+ 模型" + }, + "toast": { + "saveSuccess": "偵測器與模型設定已儲存。請重新啟動 Frigate 以套用變更。", + "saveError": "儲存偵測器與模型設定失敗" + }, + "unsavedChanges": "偵測器與模型有未儲存的變更", + "restartRequired": "需要重新啟動（偵測器或模型已變更）" + }, + "maintenance": { + "title": "維護", + "sync": { + "title": "媒體同步", + "desc": "Frigate 會根據您的保留配置定期清理媒體檔案。出現少量孤立檔案是正常現象。使用此功能可以刪除磁碟上不再被資料庫引用的孤立媒體檔案。", + "started": "媒體同步已啟動。", + "alreadyRunning": "同步任務已在執行中", + "error": "啟動同步失敗", + "currentStatus": "狀態", + "jobId": "任務 ID", + "startTime": "開始時間", + "endTime": "結束時間", + "statusLabel": "狀態", + "results": "結果", + "errorLabel": "錯誤", + "mediaTypes": "媒體型別", + "allMedia": "所有媒體", + "dryRun": "試執行", + "dryRunEnabled": "不會刪除任何檔案", + "dryRunDisabled": "將刪除檔案", + "force": "強制執行", + "forceDesc": "繞過安全閾值，即使刪除超過 50% 的檔案也完成同步。", + "verbose": "詳細模式", + "verboseDesc": "將所有孤立檔案的完整清單寫入硬碟以供審閱。", + "running": "同步執行中…", + "start": "開始同步", + "inProgress": "同步正在進行中。此頁面已停用。", + "status": { + "queued": "已排隊", + "running": "執行中", + "completed": "已完成", + "failed": "失敗", + "notRunning": "未執行" + }, + "resultsFields": { + "filesChecked": "已檢查檔案", + "orphansFound": "發現孤立檔案", + "orphansDeleted": "已刪除孤立檔案", + "aborted": "已中止。刪除操作將超過安全閾值。", + "error": "錯誤", + "totals": "總計" + }, + "event_snapshots": "追蹤目標快照", + "event_thumbnails": "追蹤目標縮圖", + "review_thumbnails": "審閱縮圖", + "previews": "預覽", + "exports": "匯出", + "recordings": "錄影" + }, + "regionGrid": { + "title": "區域網格", + "desc": "區域網格是一種最佳化功能，它會學習不同大小的目標通常出現在每個攝影機視野中的位置。Frigate 利用這些資料來高效地確定偵測區域的大小。該網格會根據追蹤目標資料自動構建。", + "clear": "清除區域網格", + "clearConfirmTitle": "清除區域網格", + "clearConfirmDesc": "除非你最近更改了偵測器模型大小或攝影機的物理位置，並且遇到了目標追蹤問題，否則不建議清除區域網格。網格會隨著目標的追蹤自動重建。更改需要重啟 Frigate 才能生效。", + "clearSuccess": "區域網格清除成功", + "clearError": "清除區域網格失敗", + "restartRequired": "需要重啟以使區域網格更改生效" + } + }, + "configForm": { + "global": { + "title": "全域性設定", + "description": "這些設定適用於所有攝影機，除非在攝影機特定設定中被覆蓋。" + }, + "camera": { + "title": "攝影機設定", + "description": "這些設定僅適用於此攝影機，並會覆蓋全域性設定。", + "noCameras": "沒有可用的攝影機" + }, + "advancedSettingsCount": "高階設定 ({{count}})", + "advancedCount": "高階選項 ({{count}})", + "showAdvanced": "顯示高階設定", + "tabs": { + "sharedDefaults": "共享預設值", + "system": "系統", + "integrations": "整合" + }, + "additionalProperties": { + "keyLabel": "鍵", + "valueLabel": "值", + "keyPlaceholder": "新鍵名", + "remove": "移除" + }, + "knownPlates": { + "namePlaceholder": "例如：老婆的車", + "platePlaceholder": "車牌號或正則表示式" + }, + "timezone": { + "defaultOption": "使用瀏覽器時區" + }, + "roleMap": { + "empty": "未配置權限組對映", + "roleLabel": "角色", + "groupsLabel": "使用者組", + "addMapping": "新增角色對映", + "remove": "移除" + }, + "ffmpegArgs": { + "preset": "預設", + "manual": "手動引數", + "inherit": "繼承攝影機設定", + "none": "無", + "useGlobalSetting": "繼承全域性設定", + "selectPreset": "選擇預設", + "manualPlaceholder": "輸入 FFmpeg 引數", + "presetLabels": { + "preset-rpi-64-h264": "樹莓派（H.264）", + "preset-rpi-64-h265": "樹莓派（H.265）", + "preset-vaapi": "VAAPI (Intel/AMD GPU)", + "preset-intel-qsv-h264": "Intel QuickSync (H.264)", + "preset-intel-qsv-h265": "Intel QuickSync (H.265)", + "preset-nvidia": "NVIDIA GPU", + "preset-jetson-h264": "NVIDIA Jetson (H.264)", + "preset-jetson-h265": "NVIDIA Jetson (H.265)", + "preset-rkmpp": "瑞芯微 RKMPP", + "preset-http-jpeg-generic": "HTTP JPEG（通用）", + "preset-http-mjpeg-generic": "HTTP MJPEG（通用）", + "preset-http-reolink": "HTTP - Reolink 攝影機", + "preset-rtmp-generic": "RTMP（通用）", + "preset-rtsp-generic": "RTSP（通用）", + "preset-rtsp-restream": "RTSP - 從 go2rtc 轉流", + "preset-rtsp-restream-low-latency": "RTSP - 從 go2rtc 轉流（低延遲）", + "preset-rtsp-udp": "RTSP - UDP協議", + "preset-rtsp-blue-iris": "RTSP - Blue Iris", + "preset-record-generic": "錄製（通用，無音訊）", + "preset-record-generic-audio-copy": "錄製（通用，不轉碼音訊）", + "preset-record-generic-audio-aac": "錄製（通用並將音訊轉碼為 AAC）", + "preset-record-mjpeg": "錄製 - MJPEG 流攝影機", + "preset-record-jpeg": "錄製 - JPEG 流攝影機", + "preset-record-ubiquiti": "錄製 - 優必飛攝影機" + } + }, + "cameraInputs": { + "itemTitle": "影片流 {{index}}" + }, + "restartRequiredField": "需要重啟", + "restartRequiredFooter": "配置已更改 - 需要重啟", + "sections": { + "detect": "偵測", + "record": "錄製", + "snapshots": "快照", + "motion": "畫面變動", + "objects": "目標", + "review": "審閱", + "audio": "音訊", + "notifications": "通知", + "live": "即時檢視", + "timestamp_style": "時間戳", + "mqtt": "MQTT", + "database": "資料庫", + "telemetry": "遙測", + "auth": "身份驗證", + "tls": "TLS", + "proxy": "代理", + "go2rtc": "go2rtc", + "ffmpeg": "FFmpeg 編解碼", + "detectors": "偵測器", + "model": "模型", + "semantic_search": "語意搜尋", + "genai": "生成式 AI", + "face_recognition": "人臉辨識", + "lpr": "車牌辨識", + "birdseye": "鳥瞰圖", + "masksAndZones": "遮罩 / 區域" + }, + "detect": { + "title": "偵測設定" + }, + "detectors": { + "title": "偵測器設定", + "singleType": "只允許一個 {{type}} 偵測器。", + "keyRequired": "偵測器名稱為必填項。", + "keyDuplicate": "偵測器名稱已存在。", + "noSchema": "沒有可用的偵測器架構。", + "none": "未配置偵測器例項。", + "add": "新增偵測器", + "addCustomKey": "新增自訂鍵（Key）" + }, + "record": { + "title": "錄製設定" + }, + "snapshots": { + "title": "快照設定" + }, + "motion": { + "title": "畫面變動設定" + }, + "objects": { + "title": "目標設定" + }, + "audioLabels": { + "summary": "已選擇 {{count}} 個音訊標籤", + "empty": "無可用音訊標籤" + }, + "objectLabels": { + "summary": "已選擇 {{count}} 個目標型別", + "empty": "無可用目標標籤" + }, + "reviewLabels": { + "summary": "已選擇 {{count}} 個標籤", + "empty": "暫無可用標籤" + }, + "filters": { + "objectFieldLabel": "{{label}} 的 {{field}}" + }, + "zoneNames": { + "summary": "已選擇 {{count}} 個", + "empty": "沒有可用的區域" + }, + "inputRoles": { + "summary": "已選擇 {{count}} 個功能", + "empty": "無可用功能", + "options": { + "detect": "偵測", + "record": "錄製", + "audio": "音訊" + } + }, + "genaiRoles": { + "options": { + "embeddings": "嵌入（Embedding）", + "descriptions": "描述", + "chat": "對話" + } + }, + "semanticSearchModel": { + "placeholder": "選擇模型…", + "builtIn": "內建模型", + "genaiProviders": "生成式 AI 服務" + }, + "review": { + "title": "審閱設定" + }, + "audio": { + "title": "音訊設定" + }, + "notifications": { + "title": "通知設定" + }, + "live": { + "title": "即時檢視設定" + }, + "timestamp_style": { + "title": "時間戳設定" + }, + "searchPlaceholder": "搜尋…", + "addCustomLabel": "新增自訂標籤…", + "genaiModel": { + "placeholder": "選擇模型…", + "search": "搜尋模型…", + "noModels": "暫無模型" + } + }, + "globalConfig": { + "title": "全域性配置", + "description": "配置適用於所有攝影機的全域性設定，除非被單獨覆蓋。", + "toast": { + "success": "全域性設定儲存成功", + "error": "儲存全域性設定失敗", + "validationError": "驗證失敗" + } + }, + "cameraConfig": { + "title": "攝影機配置", + "description": "配置單個攝影機的設定。這些設定會覆蓋全域性預設值。", + "overriddenBadge": "已覆蓋", + "resetToGlobal": "重設為全域性設定", + "toast": { + "success": "攝影機設定儲存成功", + "error": "儲存攝影機設定失敗" + } + }, + "toast": { + "success": "設定儲存成功", + "applied": "設定應用成功", + "successRestartRequired": "設定儲存成功。請重啟 Frigate 以應用更改。", + "error": "儲存設定失敗", + "validationError": "驗證失敗：{{message}}", + "resetSuccess": "已重設為全域性預設值", + "resetError": "重設設定失敗", + "saveAllSuccess_other": "所有 {{count}} 個部分儲存成功。", + "saveAllPartial_other": "已儲存 {{successCount}} / {{totalCount}} 個部分。{{failCount}} 個失敗。", + "saveAllFailure": "儲存所有部分失敗。" + }, + "profiles": { + "title": "設定檔", + "activeProfile": "啟用設定檔", + "noActiveProfile": "無啟用的設定檔", + "active": "啟用", + "activated": "設定檔 {{profile}} 已啟用", + "activateFailed": "設定檔設定失敗", + "deactivated": "設定檔已停用", + "noProfiles": "未定義任何設定檔。", + "noOverrides": "無覆蓋項", + "cameraCount_other": "{{count}} 個攝影機", + "columnCamera": "攝影機", + "columnOverrides": "設定檔覆蓋", + "baseConfig": "基礎配置", + "addProfile": "新增設定檔", + "newProfile": "新設定檔", + "profileNamePlaceholder": "例如：佈防、外出、夜間模式", + "friendlyNameLabel": "設定檔名稱", + "profileIdLabel": "設定檔 ID", + "profileIdDescription": "用於配置和自動化的內部辨識符號", + "nameInvalid": "僅允許使用小寫字母、數字和下劃線", + "nameDuplicate": "已存在同名設定檔", + "error": { + "mustBeAtLeastTwoCharacters": "至少需要 2 個字元", + "mustNotContainPeriod": "不得包含英文句號（\".\"）", + "alreadyExists": "已存在使用此 ID 的設定檔" + }, + "renameProfile": "重新命名設定檔", + "renameSuccess": "已將設定檔重新命名為 “{{profile}}”", + "deleteProfile": "刪除設定檔", + "deleteProfileConfirm": "確定要為所有攝影機刪除設定檔“{{profile}}”嗎？該步驟無法撤銷。", + "deleteSuccess": "設定檔“{{profile}}”已刪除", + "createSuccess": "設定檔“{{profile}}”已建立", + "removeOverride": "移除設定檔覆蓋", + "deleteSection": "刪除節點覆蓋", + "deleteSectionConfirm": "是否要移除攝像機 {{camera}} 上針對設定檔 {{profile}} 的 {{section}} 覆蓋設定？", + "deleteSectionSuccess": "已移除 {{profile}} 的 {{section}} 覆蓋設定", + "enableSwitch": "開啟設定檔", + "enabledDescription": "設定檔功能已啟用。請在下方建立新的設定檔，進入攝影機配置頁面進行修改並儲存，修改即可生效。", + "disabledDescription": "設定檔功能可以讓你建立一組帶名稱的攝影機自訂引數（比如佈防、離家、夜間模式），並隨時切換啟用。" + }, + "unsavedChanges": "您有未儲存的更改", + "confirmReset": "確認重設", + "resetToDefaultDescription": "這將把此部分的所有設定重設為預設值。此操作無法撤銷。", + "resetToGlobalDescription": "這將把此部分的設定重設為全域性預設值。此操作無法撤銷。", + "go2rtcStreams": { + "title": "go2rtc 影片流", + "description": "管理用於攝影機轉流的 go2rtc 流配置。每個影片流包含一個名稱以及一個或多個源地址 URL。", + "addStream": "新增影片流", + "addStreamDesc": "為新的影片流輸入一個名稱，該名稱將用於在攝影機配置中引用該影片流。", + "addUrl": "新增 URL 地址", + "streamName": "影片流名稱", + "streamNamePlaceholder": "例如：front_door，此處只能使用英文", + "streamUrlPlaceholder": "例如：rtsp://user:pass@192.168.1.100/stream", + "deleteStream": "刪除影片流", + "deleteStreamConfirm": "確定要刪除影片流 “{{streamName}}” 嗎？引用該影片流的攝影機可能會停止工作。", + "noStreams": "未配置任何 go2rtc 流。請新增一個影片流以開始使用。", + "validation": { + "nameRequired": "影片流名稱為必填", + "nameDuplicate": "已存在同名的影片流", + "nameInvalid": "影片流名稱只能使用字母、數字、下劃線和連字元", + "urlRequired": "至少需要填寫一個 URL 地址" + }, + "renameStream": "重新命名影片流", + "renameStreamDesc": "為此影片流輸入新名稱。重新命名影片流可能會導致透過名稱引用它的攝影機或其他流無法正常工作。", + "newStreamName": "新影片流名稱", + "ffmpeg": { + "useFfmpegModule": "使用相容模式（ffmpeg）", + "video": "影片", + "audio": "音訊", + "hardware": "硬體加速", + "videoCopy": "直接複製", + "videoH264": "轉碼為 H.264", + "videoH265": "轉碼為 H.265", + "videoExclude": "排除", + "audioCopy": "直接複製", + "audioAac": "轉碼為 AAC", + "audioOpus": "轉碼為 Opus", + "audioPcmu": "轉碼為 PCM μ-law", + "audioPcma": "轉碼為 PCM A-law", + "audioPcm": "轉碼為 PCM", + "audioMp3": "轉碼為 MP3", + "audioExclude": "排除", + "hardwareNone": "無硬體加速", + "hardwareAuto": "自動選擇硬體加速" + } + }, + "birdseye": { + "trackingMode": { + "objects": "目標", + "motion": "動作", + "continuous": "持續" + } + }, + "retainMode": { + "all": "全部", + "motion": "動作", + "active_objects": "活動目標" + }, + "previewQuality": { + "very_high": "極高", + "high": "高", + "medium": "中", + "low": "低", + "very_low": "極低" + }, + "ui": { + "timeFormat": { + "browser": "瀏覽器", + "12hour": "12 小時", + "24hour": "24 小時" + }, + "TimeOrDateStyle": { + "full": "完整", + "long": "長", + "medium": "中", + "short": "短" + }, + "unitSystem": { + "metric": "公制", + "imperial": "英制" + } + }, + "review": { + "imageSource": { + "recordings": "錄影", + "previews": "預覽" + } + }, + "logger": { + "logLevel": { + "debug": "Debug", + "info": "Info", + "warning": "Warning", + "error": "Error", + "critical": "Critical" + } + }, + "onvif": { + "profileAuto": "自動", + "profileLoading": "正在載入設定檔…", + "autotracking": { + "zooming": { + "disabled": "停用", + "absolute": "絕對", + "relative": "相對" + } + } + }, + "modelSize": { + "small": "小", + "large": "大" + }, + "configMessages": { + "review": { + "recordDisabled": "錄製已停用，不會生成審閱記錄項。", + "detectDisabled": "目標偵測已停用。審閱記錄需要依靠偵測到的目標來對警報和偵測事件進行分類。", + "allNonAlertDetections": "所有非警報類活動都將被記錄為偵測事件。", + "genaiImageSourceRecordingsRecordDisabled": "影像源雖然設定為“錄製”，但錄製功能已關閉。Frigate 將自動降級使用預覽圖片。" + }, + "audio": { + "noAudioRole": "暫無任何流已開啟音訊（audio）功能（role）。必須在影片流上啟用音訊功能，音訊偵測才能正常工作。" + }, + "audioTranscription": { + "audioDetectionDisabled": "該攝影機未開啟音訊偵測功能。音訊轉錄需要先開啟音訊偵測。" + }, + "detect": { + "fpsGreaterThanFive": "不建議設定偵測幀率高於 5，數值設定過高可能引發效能問題，且不會帶來任何增益。", + "disabled": "目標偵測已停用。快照、回放條目以及人臉辨識、車牌辨識、生成式 AI 等增強功能都將無法使用。" + }, + "objects": { + "genaiNoDescriptionsProvider": "必須配置具備“描述”功能的生成式 AI 服務商，才能自動生成事件描述。" + }, + "faceRecognition": { + "globalDisabled": "必須開啟人臉辨識增強功能，此攝影機的人臉辨識相關功能才能正常使用。", + "personNotTracked": "人臉辨識需要偵測到 “人”（person） 後才能工作。請在該攝影機的偵測目標設定中新增“人”。", + "modelSizeLarge": "大型模型需要 GPU 或 NPU 才能執行正常。僅使用 CPU 的裝置請選用小型模型。" + }, + "lpr": { + "globalDisabled": "要讓該攝影機的車牌辨識功能正常使用，必須先開啟車牌辨識增強功能。", + "vehicleNotTracked": "車牌辨識需要先開啟對 “汽車” 或 “摩托車” 的目標追蹤。請在該攝影機的偵測目標中新增“汽車”或“摩托車”。", + "modelSizeLarge": "大型模型針對多行格式車牌做了最佳化。小型模型的效能優於大型模型，而且只有小型模型才能支援中文車牌。除非你所在地區使用多行車牌格式，否則建議使用小型模型。" + }, + "record": { + "noRecordRole": "暫無任何影片流已配置錄製功能，錄製功能將無法正常工作。" + }, + "birdseye": { + "objectsModeDetectDisabled": "鳥瞰圖已設定為 “目標” 模式，但此攝影機未開啟目標偵測。該攝影機將不會顯示在鳥瞰畫面中。" + }, + "snapshots": { + "detectDisabled": "目標偵測已停用。快照是根據追蹤到的目標生成的，因此將不會建立快照。" + }, + "detectors": { + "mixedTypes": "所有偵測器必須為同一型別。若要更換為其他型別，請先移除現有的偵測器。", + "mixedTypesSuggestion": "所有偵測器必須使用相同型別。請移除現有偵測器，或選擇 {{type}}。" + }, + "semanticSearch": { + "jinav2SmallModelSize": "Jina V2 的大型模型版本記憶體佔用與推理開銷較高，建議搭配獨立顯示卡使用大型模型。" } } } diff --git a/web/public/locales/zh-Hant/views/system.json b/web/public/locales/zh-Hant/views/system.json index e956b9a42e..23aa19f880 100644 --- a/web/public/locales/zh-Hant/views/system.json +++ b/web/public/locales/zh-Hant/views/system.json @@ -7,7 +7,8 @@ "logs": { "frigate": "Frigate 日誌 - Frigate", "go2rtc": "Go2RTC 日誌 - Frigate", - "nginx": "Nginx 日誌 - Frigate" + "nginx": "Nginx 日誌 - Frigate", + "websocket": "訊息日誌 - Frigate" } }, "title": "系統", @@ -33,6 +34,33 @@ "fetchingLogsFailed": "擷取日誌時出錯：{{errorMessage}}", "whileStreamingLogs": "串流日誌時出錯：{{errorMessage}}" } + }, + "websocket": { + "label": "訊息", + "pause": "暫停", + "resume": "繼續", + "clear": "清除", + "filter": { + "all": "全部主題", + "topics": "主題", + "events": "事件", + "reviews": "審閱", + "classification": "分類", + "face_recognition": "人臉辨識", + "lpr": "車牌辨識", + "camera_activity": "攝影機活動", + "system": "系統", + "camera": "攝影機", + "all_cameras": "所有攝影機", + "cameras_count_one": "{{count}} 個攝影機", + "cameras_count_other": "{{count}} 個攝影機" + }, + "empty": "未捕獲到訊息", + "count_one": "{{count}} 則訊息", + "count_other": "{{count}} 則訊息", + "expanded": { + "payload": "Payload" + } } }, "general": { @@ -81,7 +109,10 @@ "title": "Intel GPU 狀態警告", "message": "GPU 狀態資訊不可用", "description": "這是一個在Intel GPU 狀態回報工具 (intel_gpu_top) 中已知的 Bug，該工具會故障並重複的回報 GPU占用率為 0%，甚至在硬體加速與物件偵測在 (i)GPU上正確運作時也是如此。這不是 Frigate 的 Bug。您可以透過重新啟動主機來暫時修復此問題以確認 GPU 運作正常。這不會影響效能。" - } + }, + "gpuCompute": "GPU 計算 / 編碼", + "gpuTemperature": "GPU 溫度", + "npuTemperature": "NPU 溫度" }, "otherProcesses": { "title": "其他行程", @@ -118,7 +149,11 @@ }, "shm": { "title": "SHM（共享記憶體）配置", - "warning": "目前的 SHM 大小為 {{total}}MB，過小。請將其增加至至少 {{min_shm}}MB。" + "warning": "目前的 SHM 大小為 {{total}}MB，過小。請將其增加至至少 {{min_shm}}MB。", + "frameLifetime": { + "title": "幀保留時間", + "description": "每個攝影機在共享記憶體中擁有 {{frames}} 個幀槽位。在最快攝影機的幀率下，每一幀在被覆蓋前大約可保留 {{lifetime}} 秒。" + } } }, "cameras": { @@ -156,7 +191,8 @@ "cameraDetect": "{{camName}} 偵測", "cameraFramesPerSecond": "{{camName}} 幀率", "cameraDetectionsPerSecond": "{{camName}} 每秒偵測幀率", - "cameraSkippedDetectionsPerSecond": "{{camName}} 每秒跳過偵測幀率" + "cameraSkippedDetectionsPerSecond": "{{camName}} 每秒跳過偵測幀率", + "cameraGpu": "{{camName}} GPU" }, "toast": { "success": { @@ -165,6 +201,20 @@ "error": { "unableToProbeCamera": "無法檢測鏡頭：{{errorMessage}}" } + }, + "noCameras": { + "title": "沒有找到攝影機" + }, + "connectionQuality": { + "title": "連線品質", + "excellent": "優秀", + "fair": "一般", + "poor": "較差", + "unusable": "不可用", + "fps": "幀率", + "expectedFps": "預期幀率", + "reconnectsLastHour": "最近一小時重連次數", + "stallsLastHour": "最近一小時卡頓次數" } }, "lastRefreshed": "最後更新： ", @@ -176,7 +226,8 @@ "cameraIsOffline": "{{camera}} 已離線", "detectIsSlow": "{{detect}} 偵測速度較慢（{{speed}} 毫秒）", "detectIsVerySlow": "{{detect}} 偵測速度緩慢（{{speed}} 毫秒）", - "shmTooLow": "/dev/shm 配置（{{total}} MB）應增加至至少{{min}} MB。" + "shmTooLow": "/dev/shm 配置（{{total}} MB）應增加至至少{{min}} MB。", + "debugReplayActive": "除錯回放工作階段正在進行" }, "enrichments": { "title": "進階功能", diff --git a/web/src/api/WsProvider.tsx b/web/src/api/WsProvider.tsx index 4e4f72490b..d73e5a3090 100644 --- a/web/src/api/WsProvider.tsx +++ b/web/src/api/WsProvider.tsx @@ -10,15 +10,21 @@ export function WsProvider({ children }: { children: ReactNode }) { const reconnectTimer = useRef | null>(null); const reconnectAttempt = useRef(0); const unmounted = useRef(false); + const pendingSends = useRef>(new Map()); const sendJsonMessage = useCallback((msg: unknown) => { if (wsRef.current?.readyState === WebSocket.OPEN) { wsRef.current.send(JSON.stringify(msg)); + } else if (msg && typeof msg === "object" && "topic" in msg) { + // Sends issued before the socket reaches OPEN (or during a reconnect + // window) are buffered here and flushed in onopen + pendingSends.current.set(String((msg as { topic: unknown }).topic), msg); } }, []); useEffect(() => { unmounted.current = false; + const queue = pendingSends.current; function connect() { if (unmounted.current) return; @@ -31,6 +37,10 @@ export function WsProvider({ children }: { children: ReactNode }) { ws.send( JSON.stringify({ topic: "onConnect", message: "", retain: false }), ); + for (const queued of queue.values()) { + ws.send(JSON.stringify(queued)); + } + queue.clear(); }; ws.onmessage = (event: MessageEvent) => { @@ -56,7 +66,15 @@ export function WsProvider({ children }: { children: ReactNode }) { if (reconnectTimer.current) { clearTimeout(reconnectTimer.current); } - wsRef.current?.close(); + const ws = wsRef.current; + if (ws) { + ws.onopen = null; + ws.onmessage = null; + ws.onclose = null; + ws.onerror = null; + ws.close(); + } + queue.clear(); resetWsStore(); }; }, [wsUrl]); diff --git a/web/src/components/auth/ProtectedRoute.tsx b/web/src/components/auth/ProtectedRoute.tsx index bcfa8fdf36..c10a94a020 100644 --- a/web/src/components/auth/ProtectedRoute.tsx +++ b/web/src/components/auth/ProtectedRoute.tsx @@ -6,6 +6,7 @@ import { isRedirectingToLogin, setRedirectingToLogin, } from "@/api/auth-redirect"; +import { baseUrl } from "@/api/baseUrl"; export default function ProtectedRoute({ requiredRoles, @@ -24,7 +25,7 @@ export default function ProtectedRoute({ !isRedirectingToLogin() ) { setRedirectingToLogin(true); - window.location.href = "/login"; + window.location.href = `${baseUrl}login`; } }, [auth.isLoading, auth.isAuthenticated, auth.user]); diff --git a/web/src/components/card/AnimatedEventCard.tsx b/web/src/components/card/AnimatedEventCard.tsx index 74495ddc70..1b7b11f3d7 100644 --- a/web/src/components/card/AnimatedEventCard.tsx +++ b/web/src/components/card/AnimatedEventCard.tsx @@ -17,6 +17,9 @@ import { useUserPersistence } from "@/hooks/use-user-persistence"; import { Skeleton } from "../ui/skeleton"; import { Button } from "../ui/button"; import { FaCircleCheck } from "react-icons/fa6"; +import { FaExclamationTriangle } from "react-icons/fa"; +import { MdOutlinePersonSearch } from "react-icons/md"; +import { ThreatLevel } from "@/types/review"; import { cn } from "@/lib/utils"; import { useTranslation } from "react-i18next"; import { getTranslatedLabel } from "@/utils/i18n"; @@ -127,6 +130,11 @@ export function AnimatedEventCard({ true, ); + const threatLevel = useMemo( + () => (event.data.metadata?.potential_threat_level ?? 0) as ThreatLevel, + [event], + ); + const aspectRatio = useMemo(() => { if ( !config || @@ -152,7 +160,15 @@ export function AnimatedEventCard({ {t("markAsReviewed")} diff --git a/web/src/components/card/EmptyCard.tsx b/web/src/components/card/EmptyCard.tsx index b9943b31a4..5495a6e50c 100644 --- a/web/src/components/card/EmptyCard.tsx +++ b/web/src/components/card/EmptyCard.tsx @@ -12,6 +12,7 @@ type EmptyCardProps = { description?: string; buttonText?: string; link?: string; + onClick?: () => void; }; export function EmptyCard({ className, @@ -21,6 +22,7 @@ export function EmptyCard({ description, buttonText, link, + onClick, }: EmptyCardProps) { let TitleComponent; @@ -39,11 +41,16 @@ export function EmptyCard({ {description}
    )} - {buttonText?.length && ( - - )} + {buttonText?.length && + (onClick ? ( + + ) : ( + + ))}
    ); } diff --git a/web/src/components/card/ExportCard.tsx b/web/src/components/card/ExportCard.tsx index 893f251f8f..58600ed3fd 100644 --- a/web/src/components/card/ExportCard.tsx +++ b/web/src/components/card/ExportCard.tsx @@ -32,6 +32,9 @@ import { FaFolder, FaVideo } from "react-icons/fa"; import { HiSquare2Stack } from "react-icons/hi2"; import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name"; import useContextMenu from "@/hooks/use-contextmenu"; +import axios from "axios"; +import { toast } from "sonner"; +import { useNavigate } from "react-router-dom"; type CaseCardProps = { className: string; @@ -123,11 +126,63 @@ export function ExportCard({ onAssignToCase, onRemoveFromCase, }: ExportCardProps) { - const { t } = useTranslation(["views/exports"]); + const { t } = useTranslation(["views/exports", "views/replay"]); + const navigate = useNavigate(); const isAdmin = useIsAdmin(); const [loading, setLoading] = useState( exportedRecording.thumb_path.length > 0, ); + const [isStartingReplay, setIsStartingReplay] = useState(false); + + const handleDebugReplay = useCallback(() => { + setIsStartingReplay(true); + + axios + .post("debug_replay/start_from_export", { + export_id: exportedRecording.id, + }) + .then((response) => { + if (response.status === 202 || response.status === 200) { + navigate("/replay"); + } + }) + .catch((error) => { + const errorMessage = + error.response?.data?.message || + error.response?.data?.detail || + "Unknown error"; + + if (error.response?.status === 409) { + toast.error(t("dialog.toast.alreadyActive", { ns: "views/replay" }), { + position: "top-center", + closeButton: true, + dismissible: false, + action: ( + + + + ), + }); + } else { + toast.error( + t("dialog.toast.error", { + ns: "views/replay", + error: errorMessage, + }), + { position: "top-center" }, + ); + } + }) + .finally(() => { + setIsStartingReplay(false); + }); + }, [exportedRecording.id, navigate, t]); // Resync the skeleton state whenever the backing export changes. The // list keys by id now, so in practice the component remounts instead @@ -301,6 +356,21 @@ export function ExportCard({ {t("tooltip.downloadVideo")} + {isAdmin && ( + { + e.stopPropagation(); + handleDebugReplay(); + }} + > + {isStartingReplay + ? t("dialog.starting", { ns: "views/replay" }) + : t("title", { ns: "views/replay" })} + + )} {isAdmin && onAssignToCase && ( { - if (response.status == 200) { + if (response.status < 300) { toast.success(t("export.toast.success"), { position: "top-center", action: ( - + ), diff --git a/web/src/components/chat/ChatAttachmentChip.tsx b/web/src/components/chat/ChatAttachmentChip.tsx index 5894efaa77..ef4a114555 100644 --- a/web/src/components/chat/ChatAttachmentChip.tsx +++ b/web/src/components/chat/ChatAttachmentChip.tsx @@ -1,4 +1,5 @@ import { useApiHost } from "@/api"; +import { baseUrl } from "@/api/baseUrl"; import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name"; import { useTranslation } from "react-i18next"; import useSWR from "swr"; @@ -79,7 +80,7 @@ export function ChatAttachmentChip({ void; + sendMessage: (textOverride?: string) => void; + placeholder: string; + + supportsThinking: boolean; + thinkingEnabled: boolean; + setThinkingEnabled: (value: boolean | undefined) => void; + + isLoading?: boolean; + onStop?: () => void; + + attachedEventId?: string | null; + onClearAttachment?: () => void; + onAttach?: (eventId: string) => void; + recentEventIds?: string[]; + + large?: boolean; +}; + +export function ChatComposer({ + input, + setInput, + sendMessage, + placeholder, + supportsThinking, + thinkingEnabled, + setThinkingEnabled, + isLoading = false, + onStop, + attachedEventId, + onClearAttachment, + onAttach, + recentEventIds, + large = false, +}: ChatComposerProps) { + const { t } = useTranslation(["views/chat"]); + + const handleKeyDown = (e: React.KeyboardEvent) => { + if (e.key === "Enter" && !e.shiftKey) { + e.preventDefault(); + sendMessage(); + } + }; + + const showPaperclip = !!onAttach; + const showStop = isLoading && !!onStop; + + return ( +
    + {attachedEventId && onClearAttachment && ( +
    + +
    + )} + {attachedEventId && ( + sendMessage(text)} + disabled={isLoading} + /> + )} +
    + {showPaperclip && ( + + )} + {supportsThinking && ( + + + + + + {t("thinking.toggle")} + + + )} + setInput(e.target.value)} + onKeyDown={handleKeyDown} + aria-busy={isLoading} + /> + {showStop ? ( + + ) : ( + + )} +
    +
    + ); +} diff --git a/web/src/components/chat/ChatEventThumbnailsRow.tsx b/web/src/components/chat/ChatEventThumbnailsRow.tsx index a12153e894..47b8d46656 100644 --- a/web/src/components/chat/ChatEventThumbnailsRow.tsx +++ b/web/src/components/chat/ChatEventThumbnailsRow.tsx @@ -1,4 +1,5 @@ import { useApiHost } from "@/api"; +import { baseUrl } from "@/api/baseUrl"; import { useTranslation } from "react-i18next"; import { LuExternalLink } from "react-icons/lu"; import { @@ -6,7 +7,6 @@ import { TooltipContent, TooltipTrigger, } from "@/components/ui/tooltip"; -import { cn } from "@/lib/utils"; type ChatEvent = { id: string; score?: number }; @@ -37,10 +37,7 @@ export function ChatEventThumbnailsRow({ const renderThumb = (event: ChatEvent, isAnchor = false) => (     ); diff --git a/web/src/components/chat/ChatMessage.tsx b/web/src/components/chat/ChatMessage.tsx index c5f92b5f46..0a5c02763f 100644 --- a/web/src/components/chat/ChatMessage.tsx +++ b/web/src/components/chat/ChatMessage.tsx @@ -17,6 +17,7 @@ import { import { cn } from "@/lib/utils"; import { ChatAttachmentChip } from "@/components/chat/ChatAttachmentChip"; import { parseAttachedEvent } from "@/utils/chatUtil"; +import type { ChatStats, ShowStatsMode } from "@/types/chat"; type MessageBubbleProps = { role: "user" | "assistant"; @@ -24,14 +25,29 @@ type MessageBubbleProps = { messageIndex?: number; onEditSubmit?: (messageIndex: number, newContent: string) => void; isComplete?: boolean; + stats?: ChatStats; + showStats?: ShowStatsMode; }; +function formatTokens(n: number | undefined): string | null { + if (n === undefined) return null; + if (n >= 1000) return `${(n / 1000).toFixed(1)}k`; + return String(n); +} + +function formatRate(rate: number | undefined): string | null { + if (rate === undefined || rate <= 0) return null; + return rate >= 10 ? rate.toFixed(0) : rate.toFixed(1); +} + export function MessageBubble({ role, content, messageIndex = 0, onEditSubmit, isComplete = true, + stats, + showStats = "while_generating", }: MessageBubbleProps) { const { t } = useTranslation(["views/chat", "common"]); const isUser = role === "user"; @@ -155,14 +171,40 @@ export function MessageBubble({ ) : (
    *:last-child]:inline", !isComplete && - "after:ml-0.5 after:inline-block after:h-4 after:w-2 after:animate-cursor-blink after:rounded-sm after:bg-foreground after:align-middle after:content-['']", + "after:ml-0.5 after:inline-block after:h-4 after:w-2 after:animate-cursor-blink after:rounded-sm after:bg-foreground after:align-middle after:content-[''] [&>p:last-child]:inline", )} > ( +

    + ), + ul: ({ node: _n, ...props }) => ( +