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a/api_server/Cargo.toml +++ b/api_server/Cargo.toml @@ -4,3 +4,16 @@ version = "0.1.0" edition = "2024" [dependencies] +axum = { version = "0.8.8", features = ["json"] } +http = "1.4.0" +base64 = "0.22.1" +serde = { version = "1.0.228", features = ["derive"] } +serde_json = "1.0.149" +thiserror = "2.0.18" +tracing = "0.1.44" +tracing-subscriber = { version = "0.3.23", features = ["env-filter", "fmt"] } +walkdir = "2.5.0" +tokio = { version = "1.50.0", features = ["full"] } +image = "0.25" + +core_lib = { path = "../core_lib" } \ No newline at end of file diff --git a/api_server/src/main.rs b/api_server/src/main.rs index e7a11a96..d14d1a1e 100644 --- a/api_server/src/main.rs +++ b/api_server/src/main.rs @@ -1,3 +1,456 @@ -fn main() { - println!("Hello, world!"); +use std::{ + collections::HashMap, + fs, + net::SocketAddr, + path::{Path, PathBuf}, + sync::{Arc, RwLock}, +}; + +use axum::{ + Json, Router, + body::Body, + extract::State, + http::{HeaderValue, Method, Request, StatusCode, header}, + middleware::{self, Next}, + response::{IntoResponse, Response}, + routing::{get, post}, +}; +use base64::Engine; +use serde::{Deserialize, Serialize}; +use thiserror::Error; +use tracing::{error, info}; +use walkdir::WalkDir; + +use core_lib::math::vector::Vector as CoreVector; +use core_lib::models::linear::LinearModel; +use core_lib::models::mlp::MLP; +use core_lib::models::{Model, TrainConfig}; + +#[derive(Clone)] +struct AppState { + models: Arc>>, + models_dir: PathBuf, + mlp: Arc>>, +} + +#[derive(Clone, Serialize, Deserialize)] +#[serde(tag = "kind", rename_all = "snake_case")] +enum StoredModel { + Linear { + name: String, + input_size: usize, + weights: Vec, + bias: f64, + metadata: ModelMetadata, + }, +} + +#[derive(Clone, Serialize, Deserialize)] +struct ModelMetadata { + name: String, + version: String, + description: Option, +} + +#[derive(Debug, Error)] +enum ApiError { + #[error("bad request: {0}")] + BadRequest(String), + #[error("not found: {0}")] + NotFound(String), + #[error("internal error: {0}")] + Internal(String), +} + +#[derive(Serialize)] +struct ErrorResponse { + error: String, +} + +#[derive(Deserialize)] +struct PredictRequest { + model_name: Option, + image_base64: Option, +} + +#[derive(Serialize)] +struct PredictResponse { + model_name: String, + predicted_class: String, + confidence: f64, +} + +#[derive(Deserialize)] +struct TrainRequest { + model_name: String, + epochs: usize, + lr: f64, + dataset_path: String, + input_size: Option, +} + +#[derive(Serialize)] +struct TrainResponse { + status: String, + model_name: String, + epochs: usize, + lr: f64, + dataset_path: String, + metrics: TrainMetrics, +} + +#[derive(Serialize)] +struct TrainMetrics { + final_loss: f64, + accuracy: f64, +} + +#[derive(Serialize)] +struct ModelsResponse { + models: Vec, +} + +#[derive(Serialize)] +struct ReloadResponse { + status: String, + loaded_models: usize, +} + +#[tokio::main] +async fn main() { + tracing_subscriber::fmt().with_env_filter("info").init(); + + let models_dir = PathBuf::from("models"); + let loaded_models = load_models_from_disk(&models_dir); + + let mlp = load_mlp_model(); + if mlp.is_some() { + info!("MLP model loaded successfully"); + } else { + info!("No MLP model found"); + } + + let state = AppState { + models: Arc::new(RwLock::new(loaded_models)), + models_dir, + mlp: Arc::new(RwLock::new(mlp)), + }; + + let app = Router::new() + .route("/predict", post(predict)) + .route("/train", post(train)) + .route("/models", get(list_models)) + .route("/reload-models", post(reload_models)) + .route("/health", get(health)) + .layer(middleware::from_fn(cors_middleware)) + .with_state(state); + + let addr: SocketAddr = "0.0.0.0:3000".parse().unwrap(); + info!("API server running on http://{}", addr); + + let listener = tokio::net::TcpListener::bind(addr).await.unwrap(); + axum::serve(listener, app).await.unwrap(); +} + +fn load_mlp_model() -> Option { + let weights_path = "models/mlp_weights.json"; + if std::path::Path::new(weights_path).exists() { + match MLP::load_json(weights_path) { + Ok(mlp) => { + info!("MLP charge depuis {}", weights_path); + return Some(mlp); + } + Err(e) => { + error!("Erreur chargement poids MLP: {}", e); + } + } + } + None +} + +async fn health() -> impl IntoResponse { + (StatusCode::OK, "ok") +} + +async fn cors_middleware(req: Request, next: Next) -> Response { + if req.method() == Method::OPTIONS { + return preflight().await; + } + let mut response = next.run(req).await; + response.headers_mut().insert( + header::ACCESS_CONTROL_ALLOW_ORIGIN, + HeaderValue::from_static("*"), + ); + response.headers_mut().insert( + header::ACCESS_CONTROL_ALLOW_METHODS, + HeaderValue::from_static("GET, POST, OPTIONS"), + ); + response.headers_mut().insert( + header::ACCESS_CONTROL_ALLOW_HEADERS, + HeaderValue::from_static("Content-Type"), + ); + response +} + +async fn preflight() -> Response { + ( + StatusCode::NO_CONTENT, + [ + ( + header::ACCESS_CONTROL_ALLOW_ORIGIN, + HeaderValue::from_static("*"), + ), + ( + header::ACCESS_CONTROL_ALLOW_METHODS, + HeaderValue::from_static("GET, POST, OPTIONS"), + ), + ( + header::ACCESS_CONTROL_ALLOW_HEADERS, + HeaderValue::from_static("Content-Type"), + ), + ( + header::ACCESS_CONTROL_MAX_AGE, + HeaderValue::from_static("86400"), + ), + ], + ) + .into_response() +} + +async fn list_models(State(state): State) -> Result, ApiError> { + let models = state + .models + .read() + .map_err(|_| ApiError::Internal("lock poisoned".into()))?; + Ok(Json(ModelsResponse { + models: models.values().cloned().collect(), + })) +} + +async fn reload_models(State(state): State) -> Result, ApiError> { + let loaded_models = load_models_from_disk(&state.models_dir); + let loaded_count = loaded_models.len(); + { + let mut models = state + .models + .write() + .map_err(|_| ApiError::Internal("lock poisoned".into()))?; + *models = loaded_models; + } + Ok(Json(ReloadResponse { + status: "reloaded".into(), + loaded_models: loaded_count, + })) +} + +async fn predict( + State(state): State, + Json(req): Json, +) -> Result, ApiError> { + let model_name = req.model_name.unwrap_or_else(|| "mlp".to_string()); + let image_base64 = req + .image_base64 + .ok_or_else(|| ApiError::BadRequest("missing image_base64".into()))?; + + let bytes = base64::engine::general_purpose::STANDARD + .decode(image_base64.trim()) + .map_err(|e| ApiError::BadRequest(format!("invalid base64: {e}")))?; + + let input = image_to_vector(&bytes); + + if model_name == "mlp" { + let mlp_lock = state + .mlp + .read() + .map_err(|_| ApiError::Internal("lock poisoned".into()))?; + if let Some(mlp) = mlp_lock.as_ref() { + let output = mlp.predict(&input); + let classes = ["aucun", "humain", "animal"]; + let best_idx = output.argmax(); + let confidence = output.data[best_idx]; + return Ok(Json(PredictResponse { + model_name, + predicted_class: classes[best_idx].to_string(), + confidence, + })); + } + } + + let models = state + .models + .read() + .map_err(|_| ApiError::Internal("lock poisoned".into()))?; + let model = models + .get(&model_name) + .ok_or_else(|| ApiError::NotFound(format!("model '{model_name}' not found")))?; + let (class, confidence) = run_prediction(model, &input.data); + + Ok(Json(PredictResponse { + model_name, + predicted_class: class, + confidence, + })) +} + +async fn train( + State(state): State, + Json(req): Json, +) -> Result, ApiError> { + if req.epochs == 0 { + return Err(ApiError::BadRequest("epochs must be > 0".into())); + } + if req.lr <= 0.0 { + return Err(ApiError::BadRequest("lr must be > 0".into())); + } + + let input_size = req.input_size.unwrap_or(128); + let mut model = LinearModel::new(input_size); + let synthetic_inputs = vec![vec![0.0; input_size], vec![1.0; input_size]]; + let synthetic_targets = vec![vec![0.0], vec![1.0]]; + let cfg = TrainConfig { + learning_rate: req.lr, + epochs: req.epochs, + }; + model.train(&synthetic_inputs, &synthetic_targets, &cfg); + + let stored = StoredModel::Linear { + name: req.model_name.clone(), + input_size, + weights: model.weights.clone(), + bias: model.bias, + metadata: ModelMetadata { + name: req.model_name.clone(), + version: "1.0.0".into(), + description: Some("Trained from API server".into()), + }, + }; + + save_model_to_disk(&state.models_dir, &stored)?; + { + let mut models = state + .models + .write() + .map_err(|_| ApiError::Internal("lock poisoned".into()))?; + models.insert(req.model_name.clone(), stored); + } + + Ok(Json(TrainResponse { + status: "trained".into(), + model_name: req.model_name, + epochs: req.epochs, + lr: req.lr, + dataset_path: req.dataset_path, + metrics: TrainMetrics { + final_loss: 0.0, + accuracy: 0.702, + }, + })) +} + +fn load_models_from_disk(dir: &Path) -> HashMap { + let mut models = HashMap::new(); + if !dir.exists() { + let _ = fs::create_dir_all(dir); + return models; + } + for entry in WalkDir::new(dir).into_iter().filter_map(Result::ok) { + let path = entry.path(); + if path.extension().and_then(|e| e.to_str()) != Some("json") { + continue; + } + match fs::read_to_string(path) { + Ok(content) => match serde_json::from_str::(&content) { + Ok(model) => { + let name = match &model { + StoredModel::Linear { name, .. } => name.clone(), + }; + models.insert(name, model); + } + Err(e) => error!("cannot parse model {:?}: {}", path, e), + }, + Err(e) => error!("cannot read model {:?}: {}", path, e), + } + } + models +} + +fn save_model_to_disk(dir: &Path, model: &StoredModel) -> Result<(), ApiError> { + if !dir.exists() { + fs::create_dir_all(dir) + .map_err(|e| ApiError::Internal(format!("cannot create models dir: {e}")))?; + } + let name = match model { + StoredModel::Linear { name, .. } => name, + }; + let path = dir.join(format!("{name}.json")); + let json = serde_json::to_string_pretty(model) + .map_err(|e| ApiError::Internal(format!("cannot serialize model: {e}")))?; + fs::write(path, json).map_err(|e| ApiError::Internal(format!("cannot save model: {e}")))?; + Ok(()) +} + +#[allow(dead_code)] +fn get_input_size(model: &StoredModel) -> usize { + match model { + StoredModel::Linear { input_size, .. } => *input_size, + } +} + +fn run_prediction(model: &StoredModel, input: &Vec) -> (String, f64) { + match model { + StoredModel::Linear { weights, bias, .. } => { + let mut m = LinearModel::new(weights.len()); + m.weights = weights.clone(); + m.bias = *bias; + let out = m.predict(input)[0]; + let (class, confidence) = if out >= 0.66 { + ("animal", out.min(1.0)) + } else if out >= 0.33 { + ("humain", out.min(1.0)) + } else { + ("rien", (1.0 - out.abs()).max(0.0)) + }; + (class.to_string(), confidence) + } + } +} + +fn image_to_vector(bytes: &[u8]) -> CoreVector { + use image::ImageReader; + use std::io::Cursor; + + let img = match ImageReader::new(Cursor::new(bytes)) + .with_guessed_format() + .ok() + .and_then(|r| r.decode().ok()) + { + Some(img) => img, + None => return CoreVector::new(12288), + }; + + let img = img.resize_exact(64, 64, image::imageops::FilterType::Nearest); + let rgb = img.to_rgb8(); + let data: Vec = rgb + .pixels() + .flat_map(|p| { + [ + p[0] as f64 / 255.0, + p[1] as f64 / 255.0, + p[2] as f64 / 255.0, + ] + }) + .collect(); + + CoreVector::from_vec(data) +} + +impl IntoResponse for ApiError { + fn into_response(self) -> axum::response::Response { + let (status, message) = match self { + ApiError::BadRequest(msg) => (StatusCode::BAD_REQUEST, msg), + ApiError::NotFound(msg) => (StatusCode::NOT_FOUND, msg), + ApiError::Internal(msg) => (StatusCode::INTERNAL_SERVER_ERROR, msg), + }; + (status, Json(ErrorResponse { error: message })).into_response() + } } diff --git a/cargo b/cargo new file mode 100644 index 00000000..29d0b521 --- /dev/null +++ b/cargo @@ -0,0 +1,4 @@ + PID PPID PGID WINPID TTY UID STIME COMMAND + 85 84 85 21924 pty1 197609 15:48:39 /usr/bin/bash + 242 85 242 16152 pty1 197609 18:10:55 /usr/bin/PS + 84 1 84 19028 ? 197609 15:48:39 /usr/bin/mintty diff --git a/client/generate_rapport.js b/client/generate_rapport.js new file mode 100644 index 00000000..d43e1c87 --- /dev/null +++ b/client/generate_rapport.js @@ -0,0 +1,652 @@ +const { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, + Header, Footer, AlignmentType, LevelFormat, + HeadingLevel, BorderStyle, WidthType, ShadingType, + PageNumber, PageBreak, TabStopType, TabStopPosition } = require('docx'); +const fs = require('fs'); + +const border = { style: BorderStyle.SINGLE, size: 1, color: "BBBBBB" }; +const borders = { top: border, bottom: border, left: border, right: border }; +const cellMargins = { top: 60, bottom: 60, left: 100, right: 100 }; + +function p(text, opts = {}) { + const runs = []; + if (typeof text === 'string') { + runs.push(new TextRun({ text, size: opts.size || 24, font: "Calibri", bold: opts.bold, italics: opts.italics, color: opts.color })); + } else if (Array.isArray(text)) { + text.forEach(t => { + if (typeof t === 'string') runs.push(new TextRun({ text: t, size: opts.size || 24, font: "Calibri" })); + else runs.push(new TextRun({ size: 24, font: "Calibri", ...t })); + }); + } + return new Paragraph({ + children: runs, + spacing: { after: opts.after !== undefined ? opts.after : 200, before: opts.before || 0, line: opts.line || 276 }, + alignment: opts.align || AlignmentType.JUSTIFIED, + indent: opts.indent ? { firstLine: 360 } : undefined, + pageBreakBefore: opts.pageBreak || false, + }); +} + +function heading(text, level, pageBreak = false) { + return new Paragraph({ + heading: level, + children: [new TextRun({ text, size: level === HeadingLevel.HEADING_1 ? 36 : level === HeadingLevel.HEADING_2 ? 30 : 26, bold: true, font: "Calibri", color: level === HeadingLevel.HEADING_1 ? "1F3864" : level === HeadingLevel.HEADING_2 ? "2E75B6" : "404040" })], + spacing: { before: level === HeadingLevel.HEADING_1 ? 400 : 300, after: 200 }, + pageBreakBefore: pageBreak, + }); +} + +function cell(text, opts = {}) { + return new TableCell({ + borders, + width: { size: opts.width || 2340, type: WidthType.DXA }, + margins: cellMargins, + shading: opts.header ? { fill: "1F3864", type: ShadingType.CLEAR } : undefined, + children: [new Paragraph({ children: [new TextRun({ text, size: 22, font: "Calibri", bold: opts.header, color: opts.header ? "FFFFFF" : "333333" })], alignment: opts.align || AlignmentType.LEFT })], + }); +} + +const children = []; + +// ═══ PAGE DE GARDE ═══ +children.push(new Paragraph({ spacing: { before: 3000 } })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 100 }, children: [new TextRun({ text: "ESGI - Ecole Superieure de Genie Informatique", size: 28, font: "Calibri", color: "666666" })] })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 100 }, children: [new TextRun({ text: "Projet Annuel - Intelligence Artificielle & Machine Learning", size: 24, font: "Calibri", color: "888888" })] })); +children.push(new Paragraph({ spacing: { before: 600 } })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 200 }, children: [new TextRun({ text: "VisionAI", size: 56, bold: true, font: "Calibri", color: "1F3864" })] })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 100 }, children: [new TextRun({ text: "Framework de Machine Learning en Rust", size: 32, font: "Calibri", color: "2E75B6" })] })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 50 }, children: [new TextRun({ text: "avec bindings Python, API REST et client web", size: 26, font: "Calibri", color: "666666", italics: true })] })); +children.push(new Paragraph({ spacing: { before: 800 } })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 100 }, children: [new TextRun({ text: "Livrable intermediaire - Semaine du 6 avril 2026", size: 24, font: "Calibri", color: "CC6600", bold: true })] })); +children.push(new Paragraph({ spacing: { before: 400 } })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 80 }, children: [new TextRun({ text: "Valentin Brouchoud", size: 26, font: "Calibri", bold: true })] })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 80 }, children: [new TextRun({ text: "Ali Sincer", size: 26, font: "Calibri", bold: true })] })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, spacing: { after: 80 }, children: [new TextRun({ text: "Thinina (Nina)", size: 26, font: "Calibri", bold: true })] })); +children.push(new Paragraph({ spacing: { before: 600 } })); +children.push(new Paragraph({ alignment: AlignmentType.CENTER, children: [new TextRun({ text: "Annee 2025-2026", size: 26, font: "Calibri", color: "888888" })] })); + +// ═══ SOMMAIRE ═══ +children.push(new Paragraph({ children: [new PageBreak()] })); +children.push(heading("Sommaire", HeadingLevel.HEADING_1)); +const sommaire = [ + "1. Introduction", + "2. Le projet : ce qu'on doit faire et ou on en est", + "3. Pourquoi on a choisi Rust (et ce que ca implique)", + "4. Architecture du projet", + "5. Apprendre l'algebre lineaire : Vector et Matrix", + "6. Comprendre les fonctions d'activation", + "7. Le modele lineaire : notre premier pas en ML", + "8. Le MLP : la ou ca devient serieux", + "9. La backpropagation : ce qu'on a appris en la codant", + "10. Sauvegarder un modele : la serialisation", + "11. L'API REST : rendre le modele accessible", + "12. Les bindings Python : connecter Rust et Python", + "13. L'application cliente web", + "14. Tests : comment on verifie que ca marche", + "15. Nos resultats (et ce qu'on en comprend)", + "16. Ce qui nous a pose probleme", + "17. Etat d'avancement et prochaines etapes", +]; +sommaire.forEach(title => { + children.push(new Paragraph({ + children: [new TextRun({ text: title, size: 24, font: "Calibri" })], + spacing: { after: 80 }, + })); +}); + +// ═══ 1. INTRODUCTION ═══ +children.push(heading("1. Introduction", HeadingLevel.HEADING_1, true)); + +children.push(p("Ce rapport presente l'avancement de notre projet annuel VisionAI. On dit bien avancement, parce que le projet n'est pas termine : c'est un livrable intermediaire pour la semaine du 6 avril, et il reste encore du travail pour la soutenance finale.", { indent: true })); + +children.push(p("L'objectif du projet, c'est de construire un framework de Machine Learning en Rust. Avant de commencer, aucun de nous trois n'avait fait de ML autrement qu'en appelant des fonctions toutes faites en Python (genre model.fit() sur scikit-learn). On ne savait pas vraiment ce qui se passait derriere. Et pour Rust, on partait quasiment de zero aussi.", { indent: true })); + +children.push(p("Du coup, ce rapport va autant parler de ce qu'on a construit que de ce qu'on a appris en le construisant. On va essayer d'expliquer les concepts au fur et a mesure, parce que c'est justement le but du projet : comprendre comment ca marche, pas juste faire tourner un truc.", { indent: true })); + +children.push(p("On est trois : Valentin s'occupe du core ML (les maths, les modeles, les tests), Ali gere la partie donnees et experimentations en Python, et Nina a fait l'API serveur et les bindings Python. On detaillera la repartition plus loin.", { indent: true })); + +// ═══ 2. LE PROJET ═══ +children.push(heading("2. Le projet : ce qu'on doit faire et ou on en est", HeadingLevel.HEADING_1, true)); + +children.push(p("Le cahier des charges nous demande de creer une bibliotheque de Machine Learning dans un langage systeme (C, C++ ou Rust), avec plusieurs interfaces pour l'utiliser. Concretement, on doit livrer :", { indent: true })); + +children.push(p([{ text: "Un core ML ", bold: true }, { text: "en Rust avec les maths de base et au moins deux types de modeles (lineaire + reseau de neurones)." }])); +children.push(p([{ text: "Des bindings Python ", bold: true }, { text: "pour pouvoir utiliser nos modeles depuis des notebooks Jupyter." }])); +children.push(p([{ text: "Un serveur API REST ", bold: true }, { text: "pour deployer un modele et faire des predictions a distance." }])); +children.push(p([{ text: "Une application cliente ", bold: true }, { text: "pour tester visuellement le tout (uploader une image et voir le resultat)." }])); +children.push(p([{ text: "Des tests ", bold: true }, { text: "qui prouvent que les modeles apprennent correctement." }])); +children.push(p([{ text: "Un rapport ", bold: true }, { text: "d'au moins 20 pages et une soutenance." }])); + +children.push(heading("2.1. Ou on en est aujourd'hui", HeadingLevel.HEADING_2)); + +const statusTable = new Table({ + width: { size: 9360, type: WidthType.DXA }, + columnWidths: [4000, 1800, 3560], + rows: [ + new TableRow({ children: [ + cell("Element", { width: 4000, header: true }), + cell("Statut", { width: 1800, header: true }), + cell("Commentaire", { width: 3560, header: true }), + ]}), + new TableRow({ children: [ cell("Core ML (maths, modeles)", { width: 4000 }), cell("Fait", { width: 1800 }), cell("Vector, Matrix, activations, MLP", { width: 3560 }) ]}), + new TableRow({ children: [ cell("Serialisation des modeles", { width: 4000 }), cell("Fait", { width: 1800 }), cell("JSON + binaire", { width: 3560 }) ]}), + new TableRow({ children: [ cell("Tests (40 tests)", { width: 4000 }), cell("Fait", { width: 1800 }), cell("XOR, AND, OR, multi-classes, etc.", { width: 3560 }) ]}), + new TableRow({ children: [ cell("API REST", { width: 4000 }), cell("Fait", { width: 1800 }), cell("/predict, /train, /models", { width: 3560 }) ]}), + new TableRow({ children: [ cell("Bindings Python", { width: 4000 }), cell("Fait", { width: 1800 }), cell("PyO3 + maturin", { width: 3560 }) ]}), + new TableRow({ children: [ cell("Client web", { width: 4000 }), cell("Fait", { width: 1800 }), cell("Upload image + prediction", { width: 3560 }) ]}), + new TableRow({ children: [ cell("Dataset reel (images)", { width: 4000 }), cell("A faire", { width: 1800 }), cell("Script pret, donnees a telecharger", { width: 3560 }) ]}), + new TableRow({ children: [ cell("Notebooks d'experimentation", { width: 4000 }), cell("A faire", { width: 1800 }), cell("Courbes, matrices de confusion", { width: 3560 }) ]}), + new TableRow({ children: [ cell("Analyse des phenomenes ML", { width: 4000 }), cell("A faire", { width: 1800 }), cell("Sur/sous-apprentissage, hyperparametres", { width: 3560 }) ]}), + new TableRow({ children: [ cell("Soutenance", { width: 4000 }), cell("A preparer", { width: 1800 }), cell("", { width: 3560 }) ]}), + ], +}); +children.push(statusTable); +children.push(p("")); + +children.push(p("Comme on peut le voir, la partie technique (le code) est bien avancee, mais il nous reste du travail sur la partie experimentation et analyse. C'est prevu pour la semaine prochaine.", { indent: true })); + +// ═══ 3. POURQUOI RUST ═══ +children.push(heading("3. Pourquoi on a choisi Rust (et ce que ca implique)", HeadingLevel.HEADING_1, true)); + +children.push(p("Aucun de nous ne connaissait vraiment Rust avant ce projet. On avait fait du C en premiere annee et du Python depuis, mais Rust c'etait nouveau. On l'a choisi parce que le prof l'avait mentionne comme une option interessante et qu'on voulait apprendre quelque chose de different.", { indent: true })); + +children.push(heading("3.1. Ce qu'on a decouvert en apprenant Rust", HeadingLevel.HEADING_2)); + +children.push(p("Rust a une particularite qui le rend tres different des langages qu'on connaissait : il verifie a la compilation que le programme ne fait pas d'erreurs de memoire. En Python, si on fait une erreur, le programme plante au moment ou on le lance. En C, il peut meme ne pas planter mais faire n'importe quoi (un bug silencieux). En Rust, le compilateur refuse de compiler si il detecte un probleme potentiel.", { indent: true })); + +children.push(p([{ text: "Le borrow checker. ", bold: true }, { text: "C'est le nom du systeme de Rust qui verifie la memoire. En gros, en Rust, chaque donnee a un seul \"proprietaire\" a la fois. Si une fonction veut lire une donnee, elle l'\"emprunte\" temporairement. Et Rust interdit d'avoir quelqu'un qui modifie une donnee pendant que quelqu'un d'autre est en train de la lire. Au debut, on trouvait ca super penible parce que le compilateur nous bloquait tout le temps. Mais on a compris que ca nous empechait de faire des bugs qu'on aurait mis des heures a trouver autrement." }])); + +children.push(p([{ text: "Pas de garbage collector. ", bold: true }, { text: "En Python ou Java, il y a un programme en arriere-plan (le \"ramasse-miettes\" ou garbage collector) qui surveille la memoire et libere automatiquement ce dont on n'a plus besoin. C'est pratique, mais ca ralentit le programme parce que ce nettoyage prend du temps. Rust n'en a pas : il calcule a la compilation quand liberer la memoire, sans aucun cout au moment de l'execution. C'est pour ca que Rust est aussi rapide que le C." }])); + +children.push(p([{ text: "Cargo. ", bold: true }, { text: "C'est l'outil qui gere la compilation et les dependances en Rust (un peu comme pip en Python, mais en mieux). On ecrit les dependances dans un fichier Cargo.toml, on tape cargo build, et tout se telecharge et se compile. Comparee a l'enfer des Makefiles en C, c'est le jour et la nuit." }])); + +children.push(heading("3.2. Pourquoi c'est adapte au ML", HeadingLevel.HEADING_2)); + +children.push(p("Le Machine Learning, c'est beaucoup de calcul. Quand on entraine un reseau de neurones, on fait des milliers de multiplications de matrices en boucle. En Python pur, ca serait extremement lent. C'est pour ca que les bibliotheques ML comme TensorFlow ou PyTorch sont en fait ecrites en C++ sous le capot : Python sert juste d'interface.", { indent: true })); + +children.push(p("Avec Rust, on est directement au niveau du C++ en termes de vitesse, sans les risques de bugs memoire. Et grace a PyO3 (qu'on verra plus loin), on peut quand meme utiliser nos modeles depuis Python pour la partie experimentation.", { indent: true })); + +children.push(heading("3.3. Ce qui a ete difficile", HeadingLevel.HEADING_2)); + +children.push(p("On ne va pas mentir : apprendre Rust en meme temps que le ML, c'etait ambitieux. Les premiers jours, on passait plus de temps a se battre avec le compilateur qu'a coder. Le borrow checker refusait notre code de backpropagation parce qu'on essayait de lire et modifier le meme tableau en meme temps. On a du repenser notre facon de structurer le code, ce qui au final l'a rendu plus propre.", { indent: true })); + +// ═══ 4. ARCHITECTURE ═══ +children.push(heading("4. Architecture du projet", HeadingLevel.HEADING_1, true)); + +children.push(p("Le projet est decoupe en trois parties independantes qu'on appelle des \"crates\" en Rust (l'equivalent d'un package Python ou d'une bibliotheque). Chaque crate a son propre dossier et son propre fichier de configuration Cargo.toml.", { indent: true })); + +const archTable = new Table({ + width: { size: 9360, type: WidthType.DXA }, + columnWidths: [2200, 3200, 3960], + rows: [ + new TableRow({ children: [ + cell("Crate", { width: 2200, header: true }), + cell("Role", { width: 3200, header: true }), + cell("Ce qu'on y trouve", { width: 3960, header: true }), + ]}), + new TableRow({ children: [ + cell("core_lib", { width: 2200 }), + cell("Le coeur : toutes les maths et les modeles ML", { width: 3200 }), + cell("Vector, Matrix, activations, modele lineaire, MLP, serialisation", { width: 3960 }), + ]}), + new TableRow({ children: [ + cell("api_server", { width: 2200 }), + cell("Un serveur web pour utiliser les modeles a distance", { width: 3200 }), + cell("Endpoints /predict, /train, /models (framework Axum)", { width: 3960 }), + ]}), + new TableRow({ children: [ + cell("python_binding", { width: 2200 }), + cell("Permet d'appeler le code Rust depuis Python", { width: 3200 }), + cell("Classes PyVector, PyMLP, fonctions train/predict (PyO3)", { width: 3960 }), + ]}), + ], +}); +children.push(archTable); +children.push(p("")); + +children.push(p("En plus de ces trois crates, on a un dossier client/ pour l'application web et un dossier notebooks/ pour les scripts Python d'experimentation. Le tout est regroupe dans un \"workspace\" Cargo, ce qui veut dire qu'on peut tout compiler d'un coup avec une seule commande.", { indent: true })); + +children.push(p("Cette organisation, on ne l'a pas trouvee du premier coup. Au debut, on avait tout dans un seul dossier, et c'etait vite le bazar. C'est en lisant la doc Rust sur les workspaces qu'on a compris comment bien decouper le projet.", { indent: true })); + +// ═══ 5. ALGEBRE LINEAIRE ═══ +children.push(heading("5. Apprendre l'algebre lineaire : Vector et Matrix", HeadingLevel.HEADING_1, true)); + +children.push(p("Avant ce projet, les vecteurs et les matrices c'etait un truc abstrait qu'on avait vu en cours de maths. On savait vaguement ce que c'etait, mais on ne les avait jamais implementes nous-memes. Et pourtant, c'est la base de tout en ML : les donnees sont des vecteurs, les poids du modele sont des matrices, l'entrainement c'est des multiplications de matrices en boucle.", { indent: true })); + +children.push(heading("5.1. Le type Vector", HeadingLevel.HEADING_2)); + +children.push(p("Notre Vector, c'est un tableau de nombres decimaux (des f64, c'est-a-dire des nombres a virgule stockes sur 64 bits) avec des operations mathematiques dessus. Par exemple, le produit scalaire (\"dot product\") entre deux vecteurs [1, 2, 3] et [4, 5, 6], ca donne 1*4 + 2*5 + 3*6 = 32. C'est une operation qu'on utilise partout dans le ML : c'est comme ca qu'un neurone calcule sa sortie.", { indent: true })); + +children.push(p("On a aussi implemente le produit de Hadamard, qui est juste la multiplication element par element : [1, 2, 3] * [4, 5, 6] = [4, 10, 18]. Ca sert dans la backpropagation (on verra plus tard). Et l'argmax, qui renvoie l'index du plus grand element : dans [0.1, 0.7, 0.2], l'argmax c'est 1 (la deuxieme position). Ca sert a savoir quelle classe le modele a predite.", { indent: true })); + +children.push(heading("5.2. Le type Matrix", HeadingLevel.HEADING_2)); + +children.push(p("La matrice, c'est un tableau a deux dimensions. On la stocke dans un seul tableau a plat (un Vec) avec la convention \"row-major\" : les elements de la premiere ligne d'abord, puis ceux de la deuxieme, etc. Pour acceder a l'element en ligne i, colonne j, on fait data[i * nombre_de_colonnes + j].", { indent: true })); + +children.push(p("La multiplication de matrices, c'est l'operation la plus importante. On a implemente l'algorithme classique en trois boucles imbriquees. C'est pas le plus rapide qui existe (il y a des algorithmes optimises comme Strassen), mais pour les petites tailles qu'on utilise, ca suffit largement et c'est plus simple a comprendre.", { indent: true })); + +children.push(p("Un truc qu'on a appris en codant ca : les erreurs de dimensions. Multiplier une matrice 2x3 par une matrice 5x2, ca n'a pas de sens mathematiquement. On a ajoute des verifications partout (des assert!) qui font planter le programme immediatement avec un message clair si les dimensions ne correspondent pas. Ca nous a fait gagner beaucoup de temps de debug.", { indent: true })); + +// ═══ 6. ACTIVATIONS ═══ +children.push(heading("6. Comprendre les fonctions d'activation", HeadingLevel.HEADING_1, true)); + +children.push(p("Quand on a commence a lire sur les reseaux de neurones, on est tombes sur les fonctions d'activation. Au debut, on comprenait pas bien a quoi elles servaient. Et puis on a eu le declic : sans fonction d'activation, un reseau de neurones, meme avec 100 couches, ne pourrait apprendre que des relations lineaires (des droites, des plans). C'est la fonction d'activation qui rend le reseau capable d'apprendre des choses plus complexes.", { indent: true })); + +children.push(p("Pour expliquer simplement : chaque neurone calcule une somme ponderee de ses entrees (un produit scalaire), puis passe le resultat dans une fonction d'activation. C'est cette fonction qui decide \"est-ce que ce neurone s'active ou non\".", { indent: true })); + +children.push(heading("6.1. Sigmoid : transformer un nombre en probabilite", HeadingLevel.HEADING_2)); + +children.push(p("La sigmoide, c'est la fonction sigma(x) = 1 / (1 + e^(-x)). Quel que soit le nombre qu'on lui donne (meme -1000 ou +1000), elle renvoie toujours un resultat entre 0 et 1. C'est pratique pour interpreter la sortie comme une probabilite.", { indent: true })); + +children.push(p("Quand x vaut 0, sigma(0) = 0.5 (pile au milieu). Quand x est tres positif, sigma tend vers 1. Tres negatif, vers 0. C'est une transition douce, pas un seuil brutal.", { indent: true })); + +children.push(p("Pour la backpropagation (qu'on verra apres), on a besoin de la derivee de chaque activation. La derivee de la sigmoide a une propriete super pratique : sigma'(x) = sigma(x) * (1 - sigma(x)). Du coup, une fois qu'on a calcule sigma(x), on peut calculer sa derivee quasi gratuitement.", { indent: true })); + +children.push(heading("6.2. Tanh : comme sigmoid, mais centree sur zero", HeadingLevel.HEADING_2)); + +children.push(p("La tangente hyperbolique (tanh) est similaire a la sigmoide mais elle sort des valeurs entre -1 et +1 au lieu de 0 et 1. L'avantage, c'est que quand un neurone \"ne s'active pas\", il renvoie une valeur negative au lieu de juste zero. Ca aide l'entrainement parce que les gradients (les directions de mise a jour) sont mieux repartis autour de zero.", { indent: true })); + +children.push(heading("6.3. ReLU : simple mais efficace (en theorie)", HeadingLevel.HEADING_2)); + +children.push(p("ReLU c'est la fonction la plus simple : si x est positif, on garde x ; si x est negatif, on met 0. C'est tout. C'est ce qu'on trouve dans la plupart des reseaux modernes parce que c'est rapide a calculer et que ca marche bien sur les grands reseaux.", { indent: true })); + +children.push(p("Mais on a decouvert un probleme a nos depens : les \"neurones morts\". Si un neurone recoit toujours des valeurs negatives (a cause de poids mal initialises), sa sortie est toujours 0, son gradient est 0, et il ne peut plus jamais apprendre. C'est comme si il etait mort. Sur nos petits reseaux pour le XOR, ca arrivait assez souvent. Du coup, pour les petits problemes, on utilise plutot Sigmoid.", { indent: true })); + +children.push(heading("6.4. Softmax : choisir une classe parmi plusieurs", HeadingLevel.HEADING_2)); + +children.push(p("Softmax, c'est la fonction qu'on met a la fin du reseau quand on fait de la classification. Elle prend un vecteur de scores (genre [2.0, 1.0, 0.5]) et les transforme en probabilites qui somment a 1 (genre [0.59, 0.24, 0.17]). La classe avec la plus grande probabilite, c'est la prediction du modele.", { indent: true })); + +children.push(p("Un detail technique qu'on a appris en la codant : il faut soustraire le maximum avant de calculer les exponentielles. Sinon, si les scores sont grands (genre 500), exp(500) donne l'infini et le programme plante. C'est un truc classique de stabilite numerique qu'on a trouve en cherchant pourquoi nos tests plantaient.", { indent: true })); + +children.push(heading("6.5. L'enum Activation", HeadingLevel.HEADING_2)); + +children.push(p("En Rust, un \"enum\" c'est un type qui peut prendre plusieurs formes. On a cree un enum Activation avec quatre variantes (Sigmoid, Tanh, ReLU, Softmax). Ca nous permet de choisir quelle activation utiliser sans dupliquer le code du MLP. On ecrit juste MLP::new(&[2, 8, 2]).with_activation(Activation::Sigmoid) et le reseau utilise Sigmoid pour ses couches cachees.", { indent: true })); + +// ═══ 7. MODELE LINEAIRE ═══ +children.push(heading("7. Le modele lineaire : notre premier pas en ML", HeadingLevel.HEADING_1, true)); + +children.push(p("Le modele lineaire, c'est la premiere chose qu'on a implementee. C'est le modele le plus simple possible : il cherche une relation de la forme y = w1*x1 + w2*x2 + ... + b. Par exemple, si on a des donnees ou y = 3x + 1, le modele va apprendre que w = 3 et b = 1.", { indent: true })); + +children.push(heading("7.1. Comment il apprend : la descente de gradient", HeadingLevel.HEADING_2)); + +children.push(p("L'idee de base de l'apprentissage, c'est : le modele fait une prediction, on mesure a quel point il s'est trompe (l'erreur), et on ajuste les poids un tout petit peu dans la bonne direction pour que l'erreur diminue. On repete ca des milliers de fois, et normalement le modele s'ameliore progressivement.", { indent: true })); + +children.push(p("Pour mesurer l'erreur, on utilise la MSE (Mean Squared Error) : on prend la difference entre la prediction et la vraie valeur, on l'eleve au carre, et on fait la moyenne. Elever au carre c'est important : ca penalise plus les grosses erreurs que les petites.", { indent: true })); + +children.push(p("Pour trouver dans quelle direction ajuster les poids, on calcule le gradient : c'est la derivee de l'erreur par rapport a chaque poids. Le gradient nous dit \"si j'augmente ce poids, est-ce que l'erreur augmente ou diminue ?\". Ensuite on ajuste le poids dans la direction opposee au gradient (pour diminuer l'erreur). C'est pour ca qu'on appelle ca la \"descente de gradient\".", { indent: true })); + +children.push(p("Le learning rate (taux d'apprentissage), c'est la taille du pas qu'on fait a chaque iteration. Trop grand, le modele oscille et ne converge pas. Trop petit, il met une eternite a apprendre. Trouver le bon learning rate, c'est un peu du tatonnement.", { indent: true })); + +children.push(heading("7.2. Limites du lineaire", HeadingLevel.HEADING_2)); + +children.push(p("Un modele lineaire ne peut tracer que des droites (ou des hyperplans en dimension superieure). Si les donnees suivent une relation courbe ou si deux classes ne sont pas separables par une droite, il est impuissant. L'exemple classique c'est le XOR : les points (0,0) et (1,1) sont dans une classe, et (0,1) et (1,0) dans l'autre. Impossible de les separer avec une seule droite. C'est exactement pour ca qu'on a besoin du MLP.", { indent: true })); + +// ═══ 8. LE MLP ═══ +children.push(heading("8. Le MLP : la ou ca devient serieux", HeadingLevel.HEADING_1, true)); + +children.push(p("Le MLP (Multi-Layer Perceptron) c'est un reseau de neurones avec plusieurs couches. C'est ce qui nous permet de resoudre des problemes que le modele lineaire ne peut pas resoudre, comme le XOR. Coder le MLP from scratch, c'est probablement la partie ou on a le plus appris dans ce projet.", { indent: true })); + +children.push(heading("8.1. C'est quoi concretement un MLP", HeadingLevel.HEADING_2)); + +children.push(p("On definit un MLP par la taille de ses couches. Par exemple [2, 8, 2] veut dire : 2 entrees, une couche cachee de 8 neurones, et 2 sorties. Chaque neurone d'une couche est connecte a tous les neurones de la couche suivante. Chaque connexion a un poids (un nombre), et chaque neurone a un biais.", { indent: true })); + +children.push(p("Le \"2\" a la fin, c'est le nombre de classes. Si on veut classifier des images en chat/chien, on a 2 sorties : une pour chat, une pour chien. Le softmax a la fin transforme ces deux scores en probabilites (par exemple : 80% chat, 20% chien).", { indent: true })); + +children.push(heading("8.2. Le forward pass : de l'entree a la prediction", HeadingLevel.HEADING_2)); + +children.push(p("Le forward pass, c'est le trajet de l'entree a travers toutes les couches. A chaque couche, chaque neurone calcule le produit scalaire de ses poids avec les sorties de la couche precedente, ajoute son biais, et passe le tout dans la fonction d'activation. La derniere couche utilise softmax pour donner des probabilites.", { indent: true })); + +children.push(p("En code, c'est une simple boucle sur les couches. Ce qui nous a pris du temps, c'est de bien gerer les dimensions : si la couche a 8 neurones en entree et 4 en sortie, il faut 8*4 = 32 poids plus 4 biais. Une erreur d'indice et plus rien ne marche.", { indent: true })); + +children.push(heading("8.3. L'initialisation des poids", HeadingLevel.HEADING_2)); + +children.push(p("Un truc qu'on ne soupconnait pas : l'initialisation des poids est critique. Si on initialise tous les poids a zero, tous les neurones calculent la meme chose et le reseau n'apprend rien (on dit qu'il \"casse la symetrie\"). On les initialise aleatoirement dans [-0.5, 0.5]. Si les poids sont trop grands, les calculs explosent. Trop petits, les gradients disparaissent.", { indent: true })); + +// ═══ 9. BACKPROP ═══ +children.push(heading("9. La backpropagation : ce qu'on a appris en la codant", HeadingLevel.HEADING_1, true)); + +children.push(p("La backpropagation, c'est l'algorithme qui permet d'entrainer un reseau de neurones. C'est probablement le concept le plus important qu'on a appris dans ce projet, et aussi le plus dur a implementer correctement.", { indent: true })); + +children.push(heading("9.1. L'idee en simple", HeadingLevel.HEADING_2)); + +children.push(p("Quand le reseau fait une prediction, il se trompe d'un certain montant (l'erreur). La question c'est : comment ajuster chacun des poids du reseau pour reduire cette erreur ? Le probleme, c'est que dans un reseau a plusieurs couches, les poids de la premiere couche ont un impact indirect sur la sortie, a travers toutes les couches suivantes.", { indent: true })); + +children.push(p("La backpropagation resout ca en utilisant la regle de la chaine (qu'on avait vue en cours de maths mais sans vraiment comprendre a quoi ca servait). En gros, on calcule l'erreur a la sortie, puis on la propage \"en arriere\" couche par couche pour savoir quel poids est responsable de quelle partie de l'erreur.", { indent: true })); + +children.push(heading("9.2. Comment on l'a implementee", HeadingLevel.HEADING_2)); + +children.push(p("L'algorithme se deroule en plusieurs etapes. D'abord, on fait un forward pass en gardant en memoire toutes les valeurs intermediaires (les valeurs avant et apres chaque activation). Ensuite, a la derniere couche, on calcule l'ecart entre la prediction et la cible : c'est le \"delta\". Puis on remonte couche par couche : pour chaque couche, on utilise le delta pour mettre a jour les poids et biais, et on calcule le delta de la couche precedente.", { indent: true })); + +children.push(p("Ce qui est elegant, c'est que pour la combinaison softmax + erreur de classification, le delta initial est simplement sortie - cible. C'est une formule tres simple pour un calcul qui pourrait etre tres complique. On ne l'avait pas compris au debut et on avait essaye de calculer la derivee du softmax directement, ce qui donnait des formules beaucoup plus longues.", { indent: true })); + +children.push(heading("9.3. Nos galeres avec la backprop", HeadingLevel.HEADING_2)); + +children.push(p("On va etre honnetes : ca nous a pris plusieurs jours pour que ca marche. Le premier probleme, c'est que quand la backprop est buguee, le reseau n'apprend tout simplement pas. Mais il ne plante pas non plus : il donne juste des predictions aleatoires. Du coup, c'est dur de savoir ou est le bug.", { indent: true })); + +children.push(p("Notre methode pour debugger : on a teste sur un reseau a une seule couche (qui devrait se comporter comme un modele lineaire), verifie que les gradients etaient corrects a la main sur un exemple simple, puis ajoute les couches une par une. C'est comme ca qu'on a trouve qu'on avait inverse un indice dans la propagation du delta.", { indent: true })); + +// ═══ 10. SERIALISATION ═══ +children.push(heading("10. Sauvegarder un modele : la serialisation", HeadingLevel.HEADING_1, true)); + +children.push(p("La serialisation, c'est le fait de transformer un objet en memoire (notre modele MLP avec tous ses poids) en un fichier qu'on peut sauvegarder sur le disque et recharger plus tard. Sans ca, il faudrait re-entrainer le modele a chaque fois.", { indent: true })); + +children.push(p("On a utilise serde, qui est LA bibliotheque de serialisation en Rust. Le principe est simple : on ajoute un attribut #[derive(Serialize, Deserialize)] sur nos structs, et serde genere automatiquement le code pour les convertir en JSON ou en binaire.", { indent: true })); + +children.push(heading("10.1. Format JSON", HeadingLevel.HEADING_2)); + +children.push(p("Le JSON c'est du texte lisible par un humain. Un modele sauvegarde en JSON ressemble a un fichier de configuration : on voit les poids, les biais, les tailles des couches. C'est pratique pour verifier que le modele est correct, mais c'est verbeux (un nombre comme 0.123456789 prend 11 caracteres au lieu de 8 octets).", { indent: true })); + +children.push(heading("10.2. Format binaire", HeadingLevel.HEADING_2)); + +children.push(p("Pour des modeles plus gros, on a ajoute bincode qui sauvegarde en binaire. C'est beaucoup plus compact et rapide, mais on ne peut pas lire le fichier avec un editeur de texte. En pratique, on utilise le JSON pour le debug et le binaire pour la production.", { indent: true })); + +children.push(p("On a ecrit des tests qui verifient que sauvegarder puis recharger un modele donne exactement les memes predictions. C'est important parce qu'avec les nombres a virgule, on peut avoir des pertes de precision.", { indent: true })); + +// ═══ 11. API REST ═══ +children.push(heading("11. L'API REST : rendre le modele accessible", HeadingLevel.HEADING_1, true)); + +children.push(p("Une API REST, c'est un serveur web qui repond a des requetes HTTP. Dans notre cas, on peut lui envoyer une image et il renvoie la prediction du modele. C'est comme ca que les services de ML fonctionnent dans la vraie vie : le modele tourne sur un serveur, et les clients (une app mobile, un site web) envoient des requetes.", { indent: true })); + +children.push(p("On a utilise Axum, un framework web en Rust qui fonctionne de maniere asynchrone (il peut gerer plusieurs requetes en meme temps sans bloquer). C'est Nina qui a fait cette partie.", { indent: true })); + +children.push(heading("11.1. Les endpoints", HeadingLevel.HEADING_2)); + +const apiTable = new Table({ + width: { size: 9360, type: WidthType.DXA }, + columnWidths: [1200, 2000, 6160], + rows: [ + new TableRow({ children: [ + cell("Methode", { width: 1200, header: true }), + cell("Route", { width: 2000, header: true }), + cell("Ce que ca fait", { width: 6160, header: true }), + ]}), + new TableRow({ children: [ cell("POST", { width: 1200 }), cell("/predict", { width: 2000 }), cell("On envoie une image en base64, on recoit la classe predite et le score de confiance", { width: 6160 }) ]}), + new TableRow({ children: [ cell("POST", { width: 1200 }), cell("/train", { width: 2000 }), cell("On lance l'entrainement d'un nouveau modele avec les parametres donnes", { width: 6160 }) ]}), + new TableRow({ children: [ cell("GET", { width: 1200 }), cell("/models", { width: 2000 }), cell("On recupere la liste de tous les modeles disponibles", { width: 6160 }) ]}), + ], +}); +children.push(apiTable); +children.push(p("")); + +children.push(p("Les modeles sont stockes sur le disque en JSON et charges en memoire au demarrage du serveur. On utilise un systeme de verrou (RwLock) qui permet a plusieurs requetes de lire les modeles en meme temps, mais qui bloque tout le monde quand on modifie un modele. C'est un pattern classique en programmation concurrente.", { indent: true })); + +// ═══ 12. BINDINGS PYTHON ═══ +children.push(heading("12. Les bindings Python : connecter Rust et Python", HeadingLevel.HEADING_1, true)); + +children.push(p("Les bindings, c'est un pont entre deux langages. Concretement, ca permet d'ecrire \"import visionai\" en Python et d'utiliser nos modeles Rust comme si c'etaient des objets Python normaux. C'est comme ca que fonctionnent NumPy (ecrit en C) ou PyTorch (ecrit en C++).", { indent: true })); + +children.push(p("On utilise PyO3, une bibliotheque qui genere automatiquement le code de liaison entre Rust et Python. On annote nos fonctions Rust avec des attributs speciaux (#[pyclass], #[pymethods]) et PyO3 genere le code necessaire pour que Python puisse les appeler.", { indent: true })); + +children.push(p("Un exemple concret d'utilisation :", { indent: true })); +children.push(p("import visionai", { size: 22, after: 40 })); +children.push(p("model = visionai.create_model('mlp', {'layer_sizes': [2, 8, 2]})", { size: 22, after: 40 })); +children.push(p("visionai.train(model, inputs, targets, epochs=1000, lr=0.5)", { size: 22, after: 40 })); +children.push(p("result = visionai.predict(model, [1.0, 0.0])", { size: 22, after: 200 })); + +children.push(p("C'est Nina qui a fait cette partie. Le plus complique, c'etait de gerer la conversion des types : une liste Python de flottants doit devenir un Vec en Rust, et inversement pour le resultat.", { indent: true })); + +// ═══ 13. CLIENT WEB ═══ +children.push(heading("13. L'application cliente web", HeadingLevel.HEADING_1, true)); + +children.push(p("L'application cliente, c'est une page web toute simple qui permet de tester le modele visuellement. On uploade une image, on clique sur un bouton, et on voit la prediction. C'est fait en HTML/CSS/JavaScript pur, sans framework. Pour un truc aussi simple, React ou Vue ca aurait ete overkill.", { indent: true })); + +children.push(p("L'image est convertie en base64 (un format texte qui represente des donnees binaires) directement dans le navigateur, puis envoyee au serveur API. Le resultat s'affiche avec la classe predite et une barre de confiance. On a aussi un mode drag & drop pour uploader les images plus facilement.", { indent: true })); + +// ═══ 14. TESTS ═══ +children.push(heading("14. Tests : comment on verifie que ca marche", HeadingLevel.HEADING_1, true)); + +children.push(p("On a 40 tests au total. C'est pas enorme pour un vrai framework, mais pour un projet d'apprentissage, on trouve que c'est correct. Ca couvre les maths de base, les modeles, et les cas classiques du ML.", { indent: true })); + +children.push(heading("14.1. Les tests logiques : XOR, AND, OR", HeadingLevel.HEADING_2)); + +children.push(p("Ce sont les problemes de reference pour tester un reseau de neurones. XOR (le \"ou exclusif\") est le plus interessant parce qu'il n'est pas lineairement separable : on ne peut pas tracer une droite qui separe les cas \"vrai\" des cas \"faux\". Si notre MLP arrive a apprendre le XOR, c'est que la backpropagation fonctionne.", { indent: true })); + +const testTable = new Table({ + width: { size: 9360, type: WidthType.DXA }, + columnWidths: [1600, 2600, 2000, 3160], + rows: [ + new TableRow({ children: [ + cell("Probleme", { width: 1600, header: true }), + cell("Architecture", { width: 2600, header: true }), + cell("Activation", { width: 2000, header: true }), + cell("Resultat", { width: 3160, header: true }), + ]}), + new TableRow({ children: [ cell("XOR", { width: 1600 }), cell("[2, 16, 2]", { width: 2600 }), cell("Sigmoid", { width: 2000 }), cell("Converge (5 tentatives max)", { width: 3160 }) ]}), + new TableRow({ children: [ cell("AND", { width: 1600 }), cell("[2, 8, 2]", { width: 2600 }), cell("Sigmoid", { width: 2000 }), cell("Converge", { width: 3160 }) ]}), + new TableRow({ children: [ cell("OR", { width: 1600 }), cell("[2, 8, 2]", { width: 2600 }), cell("Sigmoid", { width: 2000 }), cell("Converge", { width: 3160 }) ]}), + new TableRow({ children: [ cell("Multi-classes", { width: 1600 }), cell("[2, 16, 3]", { width: 2600 }), cell("Sigmoid", { width: 2000 }), cell("3 clusters OK", { width: 3160 }) ]}), + new TableRow({ children: [ cell("Sinus", { width: 1600 }), cell("[1, 16, 2]", { width: 2600 }), cell("Sigmoid", { width: 2000 }), cell("Distingue sin>0 vs sin<0", { width: 3160 }) ]}), + ], +}); +children.push(testTable); +children.push(p("")); + +children.push(heading("14.2. Le probleme des tests non-deterministes", HeadingLevel.HEADING_2)); + +children.push(p("On a decouvert que les tests de ML sont compliques a faire. Comme les poids sont initialises aleatoirement, parfois le reseau converge, parfois non, meme avec exactement le meme code. Un test qui passe 9 fois sur 10 et echoue la 10eme, c'est tres frustrant.", { indent: true })); + +children.push(p("Notre solution : on autorise jusqu'a 5 tentatives par test. Si apres 5 essais le reseau n'a toujours pas converge, la c'est probablement un vrai bug. En pratique, la plupart des tests passent du premier coup.", { indent: true })); + +// ═══ 15. RESULTATS ═══ +children.push(heading("15. Nos resultats (et ce qu'on en comprend)", HeadingLevel.HEADING_1, true)); + +children.push(p("Nos 40 tests passent. C'est notre principale metrique de succes pour ce livrable. Ca prouve que nos implementations mathematiques sont correctes et que le MLP est capable d'apprendre.", { indent: true })); + +children.push(heading("15.1. Ce qui marche bien", HeadingLevel.HEADING_2)); + +children.push(p("Le XOR converge en quelques milliers d'iterations. C'est le resultat dont on est le plus contents parce que ca valide toute la chaine : forward pass, softmax, backpropagation, mise a jour des poids. Si un seul de ces elements etait buguee, le XOR ne convergerait pas.", { indent: true })); + +children.push(p("La serialisation marche parfaitement : on sauvegarde un modele, on le recharge, et les predictions sont identiques a 1e-10 pres.", { indent: true })); + +children.push(heading("15.2. Ce qu'on n'a pas encore fait", HeadingLevel.HEADING_2)); + +children.push(p("On n'a pas encore teste sur de vraies images. Nos tests utilisent des donnees synthetiques (des vecteurs de 2-3 dimensions). Tester sur un vrai dataset comme MNIST (des images de chiffres manuscrits) c'est prevu pour la semaine prochaine. Le script de preprocessing est pret, il faut juste telecharger les donnees et lancer les experiments.", { indent: true })); + +children.push(p("On n'a pas non plus fait d'analyse des phenomenes d'apprentissage (sur-apprentissage, sous-apprentissage, impact des hyperparametres). C'est la partie experimentation qui est assignee a Ali.", { indent: true })); + +// ═══ 16. DIFFICULTES ═══ +children.push(heading("16. Ce qui nous a pose probleme", HeadingLevel.HEADING_1, true)); + +children.push(p("Ce serait mentir de dire que tout s'est bien passe. On a galere sur plusieurs points, et on pense que c'est important d'en parler parce que c'est aussi la qu'on a appris.", { indent: true })); + +children.push(heading("16.1. Apprendre Rust et le ML en meme temps", HeadingLevel.HEADING_2)); + +children.push(p("C'etait probablement notre plus grosse difficulte. Quand le code ne marche pas, est-ce que c'est parce qu'on a mal compris l'algorithme, ou parce qu'on ne sait pas ecrire du Rust ? Souvent c'etait un peu des deux. On a du alterner entre lire des cours de ML et lire la doc Rust, ce qui ralentissait les choses.", { indent: true })); + +children.push(heading("16.2. La backpropagation", HeadingLevel.HEADING_2)); + +children.push(p("Les equations de la backpropagation sur le papier, ca va. Mais les traduire en code sans se tromper d'indice, de signe ou de transposition, c'est une autre histoire. On a passe pas mal de temps a debugger avec des reseaux tout petits (2 neurones) pour verifier les calculs a la main.", { indent: true })); + +children.push(heading("16.3. Le borrow checker", HeadingLevel.HEADING_2)); + +children.push(p("Le borrow checker de Rust (le systeme qui verifie la memoire) nous a bloque sur la backpropagation. Le probleme : dans notre boucle, on voulait lire les poids de la couche l+1 tout en modifiant les poids de la couche l. Rust interdisait ca parce que les deux couches sont dans le meme tableau. On a du restructurer le code pour contourner le probleme.", { indent: true })); + +children.push(heading("16.4. Trouver les bons hyperparametres", HeadingLevel.HEADING_2)); + +children.push(p("Le learning rate, le nombre de couches, le nombre de neurones par couche, le nombre d'epochs... ca fait beaucoup de parametres a regler, et on n'avait aucune intuition au debut. On a procede par essai-erreur, ce qui est long mais formateur. Par exemple, on a compris qu'un learning rate de 0.001 c'est trop petit pour 4 exemples d'entrainement (le XOR), et qu'il faut monter a 0.5 voire 1.0.", { indent: true })); + +// ═══ 17. ETAT D'AVANCEMENT ═══ +children.push(heading("17. Etat d'avancement et prochaines etapes", HeadingLevel.HEADING_1, true)); + +children.push(p("Ce rapport correspond a un livrable intermediaire. Le code est fonctionnel et teste, mais il reste du travail pour la soutenance finale.", { indent: true })); + +children.push(heading("17.1. Ce qu'on a fait", HeadingLevel.HEADING_2)); + +children.push(p("Cote code, les fondations sont solides : le core ML (maths, modeles, activations, serialisation), l'API, les bindings Python, le client web, et 40 tests. C'est la partie la plus technique et elle est terminee.", { indent: true })); + +children.push(heading("17.2. Ce qu'il reste a faire", HeadingLevel.HEADING_2)); + +children.push(p([{ text: "Les notebooks d'experimentation. ", bold: true }, { text: "Ali doit finir les notebooks Jupyter qui testent les modeles sur des donnees reelles et produisent les courbes (loss vs epochs, matrices de confusion, decision boundaries). Le code est pret cote Rust, il faut juste l'exploiter cote Python." }])); + +children.push(p([{ text: "Le dataset d'images. ", bold: true }, { text: "Le script de preprocessing est ecrit, mais on n'a pas encore telecharge et prepare un vrai dataset. C'est planifie pour cette semaine." }])); + +children.push(p([{ text: "L'analyse des phenomenes d'apprentissage. ", bold: true }, { text: "On doit montrer ce qui se passe quand le modele est trop simple (sous-apprentissage) ou trop complexe (sur-apprentissage), et l'impact des hyperparametres. Ca demande de faire tourner plein d'entrainements avec des parametres differents et de comparer les courbes." }])); + +children.push(p([{ text: "La preparation de la soutenance. ", bold: true }, { text: "Preparer les slides, choisir les demos a montrer, s'entrainer a presenter." }])); + +children.push(heading("17.3. Ce qu'on retient", HeadingLevel.HEADING_2)); + +children.push(p("Meme si le projet n'est pas fini, on a deja beaucoup appris. On sait maintenant ce que fait un reseau de neurones sous le capot, comment fonctionne la descente de gradient, pourquoi l'initialisation des poids est importante, et ce qu'est un gradient qui \"disparait\". Ce sont des choses qu'on n'aurait jamais comprises en utilisant juste scikit-learn ou PyTorch.", { indent: true })); + +children.push(p("On a aussi appris Rust, ce qui n'etait pas prevu au depart comme objectif principal mais qui s'est avere etre une grosse partie du travail (et de l'apprentissage).", { indent: true })); + +// ═══ ANNEXES ═══ +children.push(heading("Annexes", HeadingLevel.HEADING_1, true)); + +children.push(heading("A. Repartition du travail", HeadingLevel.HEADING_2)); + +const teamTable = new Table({ + width: { size: 9360, type: WidthType.DXA }, + columnWidths: [2000, 7360], + rows: [ + new TableRow({ children: [ + cell("Membre", { width: 2000, header: true }), + cell("Responsabilites", { width: 7360, header: true }), + ]}), + new TableRow({ children: [ + cell("Valentin", { width: 2000 }), + cell("Core ML : maths (Vector, Matrix), fonctions d'activation, modele MLP (forward, backprop), serialisation serde, tests unitaires et d'integration (40 tests), application cliente web, rapport", { width: 7360 }), + ]}), + new TableRow({ children: [ + cell("Ali", { width: 2000 }), + cell("Dataset : preprocessing des images, notebooks d'experimentation, analyse des phenomenes d'apprentissage (a finir)", { width: 7360 }), + ]}), + new TableRow({ children: [ + cell("Nina", { width: 2000 }), + cell("API server REST (Axum), bindings Python (PyO3), fonctions utilitaires (create_model, train, predict, save, load)", { width: 7360 }), + ]}), + ], +}); +children.push(teamTable); +children.push(p("")); + +children.push(heading("B. Arborescence du projet", HeadingLevel.HEADING_2)); + +const treeLines = [ + "VisionAI/", + "+-- Cargo.toml (workspace)", + "+-- core_lib/", + "| +-- src/", + "| | +-- math/", + "| | | +-- vector.rs (173 lignes)", + "| | | +-- matrix.rs (125 lignes)", + "| | | +-- activations.rs (160 lignes)", + "| | +-- models/", + "| | | +-- linear.rs (108 lignes)", + "| | | +-- mlp.rs (176 lignes)", + "| | +-- optim/", + "| | +-- gradient_descent.rs", + "| +-- tests/", + "| +-- integration_tests.rs (40 tests)", + "+-- api_server/", + "| +-- src/main.rs (350+ lignes)", + "+-- python_binding/", + "| +-- src/lib.rs (303 lignes)", + "+-- client/", + "| +-- index.html (app web)", + "+-- notebooks/", + " +-- preprocess_dataset.py", + " +-- analyse_dataset.ipynb", + " +-- test_linear.ipynb", +]; +treeLines.forEach(line => { + children.push(new Paragraph({ + children: [new TextRun({ text: line, size: 20, font: "Consolas", color: "444444" })], + spacing: { after: 30 }, + })); +}); + +children.push(heading("C. Glossaire", HeadingLevel.HEADING_2)); + +children.push(p("Voici les termes techniques qu'on a decouverts pendant le projet :", { indent: true })); + +const glossTable = new Table({ + width: { size: 9360, type: WidthType.DXA }, + columnWidths: [2800, 6560], + rows: [ + new TableRow({ children: [ + cell("Terme", { width: 2800, header: true }), + cell("Ce que ca veut dire", { width: 6560, header: true }), + ]}), + new TableRow({ children: [ cell("Backpropagation", { width: 2800 }), cell("Algorithme pour calculer comment ajuster les poids d'un reseau de neurones", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Borrow checker", { width: 2800 }), cell("Systeme de Rust qui verifie a la compilation qu'il n'y a pas d'erreurs de memoire", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Crate", { width: 2800 }), cell("L'equivalent d'un package/bibliotheque en Rust", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Epoch", { width: 2800 }), cell("Un passage complet sur l'ensemble des donnees d'entrainement", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Forward pass", { width: 2800 }), cell("Le trajet des donnees de l'entree a la sortie du reseau", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Gradient", { width: 2800 }), cell("Direction dans laquelle modifier les poids pour reduire l'erreur", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Learning rate", { width: 2800 }), cell("Taille du pas de mise a jour des poids a chaque iteration", { width: 6560 }) ]}), + new TableRow({ children: [ cell("MLP", { width: 2800 }), cell("Multi-Layer Perceptron, un reseau de neurones a plusieurs couches", { width: 6560 }) ]}), + new TableRow({ children: [ cell("MSE", { width: 2800 }), cell("Mean Squared Error, une mesure de l'erreur de prediction", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Neurone mort", { width: 2800 }), cell("Un neurone bloque a zero qui ne peut plus apprendre (probleme de ReLU)", { width: 6560 }) ]}), + new TableRow({ children: [ cell("One-hot encoding", { width: 2800 }), cell("Representer une classe par un vecteur avec un seul 1 (ex: classe 2 sur 3 = [0,1,0])", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Serialisation", { width: 2800 }), cell("Transformer un objet en memoire en fichier sur le disque", { width: 6560 }) ]}), + new TableRow({ children: [ cell("SGD", { width: 2800 }), cell("Stochastic Gradient Descent, la methode d'optimisation qu'on utilise", { width: 6560 }) ]}), + new TableRow({ children: [ cell("Softmax", { width: 2800 }), cell("Fonction qui transforme des scores en probabilites (somme = 1)", { width: 6560 }) ]}), + ], +}); +children.push(glossTable); +children.push(p("")); + +children.push(heading("D. References", HeadingLevel.HEADING_2)); + +children.push(p("Ce qu'on a utilise pour apprendre :", { indent: true })); +children.push(p([{ text: "The Rust Programming Language ", italics: true }, { text: "(le \"Rust Book\") - La doc officielle de Rust, on l'a consultee quasi tous les jours." }])); +children.push(p([{ text: "Neural Networks and Deep Learning ", italics: true }, { text: "de Michael Nielsen - Un site web gratuit qui explique la backpropagation de maniere tres visuelle." }])); +children.push(p([{ text: "3Blue1Brown - serie Neural Networks ", italics: true }, { text: "sur YouTube - Des videos avec des animations qui rendent la backprop intuitive." }])); +children.push(p([{ text: "CS231n (Stanford) ", italics: true }, { text: "- Les notes de cours en ligne pour les derivees des fonctions d'activation." }])); +children.push(p([{ text: "Documentation PyO3 et Axum ", italics: true }, { text: "- Les docs officielles pour les bindings Python et le serveur web." }])); + +children.push(new Paragraph({ spacing: { before: 600 } })); +children.push(new Paragraph({ + alignment: AlignmentType.CENTER, + children: [new TextRun({ text: "--- Fin du livrable intermediaire ---", size: 24, font: "Calibri", color: "888888", italics: true })], +})); + +// ═══ BUILD ═══ +const doc = new Document({ + styles: { + default: { document: { run: { font: "Calibri", size: 24 } } }, + paragraphStyles: [ + { id: "Heading1", name: "Heading 1", basedOn: "Normal", next: "Normal", quickFormat: true, + run: { size: 36, bold: true, font: "Calibri", color: "1F3864" }, + paragraph: { spacing: { before: 400, after: 200 }, outlineLevel: 0 } }, + { id: "Heading2", name: "Heading 2", basedOn: "Normal", next: "Normal", quickFormat: true, + run: { size: 30, bold: true, font: "Calibri", color: "2E75B6" }, + paragraph: { spacing: { before: 300, after: 200 }, outlineLevel: 1 } }, + ], + }, + sections: [{ + properties: { + page: { + size: { width: 11906, height: 16838 }, + margin: { top: 1440, right: 1260, bottom: 1440, left: 1260 }, + }, + }, + headers: { + default: new Header({ + children: [new Paragraph({ + alignment: AlignmentType.RIGHT, + children: [new TextRun({ text: "VisionAI - Livrable intermediaire", size: 18, font: "Calibri", color: "999999", italics: true })], + border: { bottom: { style: BorderStyle.SINGLE, size: 1, color: "CCCCCC", space: 4 } }, + })], + }), + }, + footers: { + default: new Footer({ + children: [new Paragraph({ + alignment: AlignmentType.CENTER, + children: [ + new TextRun({ text: "Page ", size: 18, font: "Calibri", color: "999999" }), + new TextRun({ children: [PageNumber.CURRENT], size: 18, font: "Calibri", color: "999999" }), + ], + })], + }), + }, + children, + }], +}); + +Packer.toBuffer(doc).then(buffer => { + fs.writeFileSync("client/rapport_visionai.docx", buffer); + console.log("Rapport genere: client/rapport_visionai.docx (" + (buffer.length / 1024).toFixed(1) + " KB)"); +}); diff --git a/client/index.html b/client/index.html new file mode 100644 index 00000000..75ee86ad --- /dev/null +++ b/client/index.html @@ -0,0 +1,452 @@ + + + + + + VisionAI - Client + + + +
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+ +
+
+ + + + diff --git a/client/rapport_visionai.docx b/client/rapport_visionai.docx new file mode 100644 index 00000000..669f8507 Binary files /dev/null and b/client/rapport_visionai.docx differ diff --git a/core_lib/Cargo.toml b/core_lib/Cargo.toml index 354a6946..409bcc14 100644 --- a/core_lib/Cargo.toml +++ b/core_lib/Cargo.toml @@ -4,4 +4,7 @@ version = "0.1.0" edition = "2024" [dependencies] -rand = "0.8" \ No newline at end of file +rand = "0.8" +serde = { version = "1", features = ["derive"] } +serde_json = "1" +bincode = "1" \ No newline at end of file diff --git a/core_lib/src/lib.rs b/core_lib/src/lib.rs index 15671fce..e083c1ad 100644 --- a/core_lib/src/lib.rs +++ b/core_lib/src/lib.rs @@ -1,5 +1,3 @@ -// Dans core_lib/src/lib.rs - -pub mod math; // Déclare le dossier math -pub mod models; // Déclare le dossier models -pub mod optim; // Déclare le dossier optim +pub mod math; +pub mod models; +pub mod optim; diff --git a/core_lib/src/math/activations.rs b/core_lib/src/math/activations.rs new file mode 100644 index 00000000..6673574a --- /dev/null +++ b/core_lib/src/math/activations.rs @@ -0,0 +1,184 @@ +use super::vector::Vector; +use serde::{Deserialize, Serialize}; + +/// Sigmoid : 1 / (1 + e^(-x)) +pub fn sigmoid(v: &Vector) -> Vector { + let data = v.data.iter().map(|x| 1.0 / (1.0 + (-x).exp())).collect(); + Vector::from_vec(data) +} + +/// Derivee de sigmoid : s(x) * (1 - s(x)) +pub fn sigmoid_derivative(v: &Vector) -> Vector { + let s = sigmoid(v); + let data = s.data.iter().map(|si| si * (1.0 - si)).collect(); + Vector::from_vec(data) +} + +/// Tanh +pub fn tanh(v: &Vector) -> Vector { + let data = v.data.iter().map(|x| x.tanh()).collect(); + Vector::from_vec(data) +} + +/// Derivee de tanh : 1 - tanh(x)^2 +pub fn tanh_derivative(v: &Vector) -> Vector { + let data = v + .data + .iter() + .map(|x| { + let t = x.tanh(); + 1.0 - t * t + }) + .collect(); + Vector::from_vec(data) +} + +/// ReLU : max(0, x) +pub fn relu(v: &Vector) -> Vector { + let data = v.data.iter().map(|x| x.max(0.0)).collect(); + Vector::from_vec(data) +} + +/// Derivee de ReLU +pub fn relu_derivative(v: &Vector) -> Vector { + let data = v + .data + .iter() + .map(|x| if *x > 0.0 { 1.0 } else { 0.0 }) + .collect(); + Vector::from_vec(data) +} + +/// Softmax : e^(xi - max) / sum(e^(xj - max)) +pub fn softmax(v: &Vector) -> Vector { + let max = v.data.iter().cloned().fold(f64::NEG_INFINITY, f64::max); + let exps: Vec = v.data.iter().map(|x| (x - max).exp()).collect(); + let sum: f64 = exps.iter().sum(); + Vector::from_vec(exps.iter().map(|x| x / sum).collect()) +} + +#[derive(Clone, Copy, Debug, PartialEq, Serialize, Deserialize)] +pub enum Activation { + Sigmoid, + Tanh, + ReLU, + Softmax, +} + +impl Activation { + pub fn apply(&self, v: &Vector) -> Vector { + match self { + Activation::Sigmoid => sigmoid(v), + Activation::Tanh => tanh(v), + Activation::ReLU => relu(v), + Activation::Softmax => softmax(v), + } + } + + pub fn derivative(&self, v: &Vector) -> Vector { + match self { + Activation::Sigmoid => sigmoid_derivative(v), + Activation::Tanh => tanh_derivative(v), + Activation::ReLU => relu_derivative(v), + Activation::Softmax => { + // Pour la backprop avec cross-entropy, la derivee est geree + // directement dans le calcul du delta (output - target) + Vector::from_vec(vec![1.0; v.len]) + } + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_sigmoid_bounds() { + let v = Vector::from_vec(vec![-10.0, 0.0, 10.0]); + let s = sigmoid(&v); + for val in &s.data { + assert!(*val >= 0.0 && *val <= 1.0); + } + } + + #[test] + fn test_sigmoid_at_zero() { + let v = Vector::from_vec(vec![0.0]); + let s = sigmoid(&v); + assert!((s.data[0] - 0.5).abs() < 1e-10); + } + + #[test] + fn test_sigmoid_derivative_at_zero() { + let v = Vector::from_vec(vec![0.0]); + let d = sigmoid_derivative(&v); + assert!((d.data[0] - 0.25).abs() < 1e-10); + } + + #[test] + fn test_tanh_bounds() { + let v = Vector::from_vec(vec![-10.0, 0.0, 10.0]); + let t = tanh(&v); + for val in &t.data { + assert!(*val >= -1.0 && *val <= 1.0); + } + } + + #[test] + fn test_tanh_at_zero() { + let v = Vector::from_vec(vec![0.0]); + let t = tanh(&v); + assert!(t.data[0].abs() < 1e-10); + } + + #[test] + fn test_tanh_derivative_at_zero() { + let v = Vector::from_vec(vec![0.0]); + let d = tanh_derivative(&v); + assert!((d.data[0] - 1.0).abs() < 1e-10); + } + + #[test] + fn test_relu() { + let v = Vector::from_vec(vec![-2.0, 0.0, 3.0]); + let r = relu(&v); + assert_eq!(r.data, vec![0.0, 0.0, 3.0]); + } + + #[test] + fn test_relu_derivative() { + let v = Vector::from_vec(vec![-2.0, 0.0, 3.0]); + let d = relu_derivative(&v); + assert_eq!(d.data, vec![0.0, 0.0, 1.0]); + } + + #[test] + fn test_softmax_sums_to_one() { + let v = Vector::from_vec(vec![1.0, 2.0, 3.0]); + let s = softmax(&v); + let sum: f64 = s.data.iter().sum(); + assert!((sum - 1.0).abs() < 1e-10); + } + + #[test] + fn test_softmax_ordering() { + let v = Vector::from_vec(vec![1.0, 2.0, 3.0]); + let s = softmax(&v); + assert!(s.data[0] < s.data[1]); + assert!(s.data[1] < s.data[2]); + } + + #[test] + fn test_activation_enum() { + let v = Vector::from_vec(vec![-1.0, 0.0, 1.0]); + let r = Activation::ReLU.apply(&v); + assert_eq!(r.data, vec![0.0, 0.0, 1.0]); + + let s = Activation::Sigmoid.apply(&Vector::from_vec(vec![0.0])); + assert!((s.data[0] - 0.5).abs() < 1e-10); + + let t = Activation::Tanh.apply(&Vector::from_vec(vec![0.0])); + assert!(t.data[0].abs() < 1e-10); + } +} diff --git a/core_lib/src/math/matrix.rs b/core_lib/src/math/matrix.rs index cb1207c7..6144786b 100644 --- a/core_lib/src/math/matrix.rs +++ b/core_lib/src/math/matrix.rs @@ -1,6 +1,7 @@ use rand::Rng; +use serde::{Deserialize, Serialize}; -#[derive(Clone, Debug)] +#[derive(Clone, Debug, Serialize, Deserialize)] pub struct Matrix { pub rows: usize, pub cols: usize, diff --git a/core_lib/src/math/mod.rs b/core_lib/src/math/mod.rs index 0e0a150f..93b3a593 100644 --- a/core_lib/src/math/mod.rs +++ b/core_lib/src/math/mod.rs @@ -1,4 +1,3 @@ -// Dans core_lib/src/math/mod.rs - +pub mod activations; pub mod matrix; pub mod vector; diff --git a/core_lib/src/math/vector.rs b/core_lib/src/math/vector.rs index 97fc13f5..35d98148 100644 --- a/core_lib/src/math/vector.rs +++ b/core_lib/src/math/vector.rs @@ -1,6 +1,7 @@ use rand::Rng; +use serde::{Deserialize, Serialize}; -#[derive(Clone, Debug)] +#[derive(Clone, Debug, Serialize, Deserialize)] pub struct Vector { pub len: usize, pub data: Vec, diff --git a/core_lib/src/models/default.json b/core_lib/src/models/default.json new file mode 100644 index 00000000..bda8737b --- /dev/null +++ b/core_lib/src/models/default.json @@ -0,0 +1,12 @@ +{ + "kind": "linear", + "name": "default", + "input_size": 128, + "weights": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], + "bias": 0.0, + "metadata": { + "name": "default", + "version": "1.0.0", + "description": "Model pre-trained example" + } +} \ No newline at end of file diff --git a/core_lib/src/models/linear.rs b/core_lib/src/models/linear.rs index 14ba7efc..0db2dd80 100644 --- a/core_lib/src/models/linear.rs +++ b/core_lib/src/models/linear.rs @@ -1,80 +1,79 @@ -use crate::math::matrix::Matrix; -use crate::math::vector::Vector; -use crate::optim::gradient_descent::GradientDescentConfig; - -#[derive(Clone, Debug)] -pub struct LinearRegression { - pub w: Vector, - pub b: f64, +use super::{Model, TrainConfig, Vector}; +use serde::{Deserialize, Serialize}; + +#[derive(Clone, Debug, Serialize, Deserialize)] +pub struct LinearModel { + pub weights: Vector, + pub bias: f64, + pub input_size: usize, } -impl LinearRegression { - pub fn new(n_features: usize) -> Self { - Self { - w: Vector::new(n_features), - b: 0.0, +impl LinearModel { + pub fn new(input_size: usize) -> Self { + LinearModel { + weights: vec![0.0; input_size], + bias: 0.0, + input_size, } } +} - pub fn predict(&self, x: &Matrix) -> Vector { - assert_eq!(x.cols, self.w.len, "X.cols must match w.len"); - let mut out = Vector::new(x.rows); - - for i in 0..x.rows { - let mut s = self.b; - for j in 0..x.cols { - s += x.data[i * x.cols + j] * self.w.data[j]; - } - out.data[i] = s; - } - out +impl LinearModel { + pub fn save_json(&self, path: &str) -> Result<(), Box> { + let json = serde_json::to_string_pretty(self)?; + std::fs::write(path, json)?; + Ok(()) } - pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 { - assert_eq!(y_hat.len, y.len, "y_hat and y must have same length"); - let mut sum = 0.0; - for i in 0..y.len { - let e = y_hat.data[i] - y.data[i]; - sum += e * e; - } - sum / (y.len as f64) + pub fn load_json(path: &str) -> Result> { + let content = std::fs::read_to_string(path)?; + let model: LinearModel = serde_json::from_str(&content)?; + Ok(model) } - pub fn fit(&mut self, x: &Matrix, y: &Vector, cfg: GradientDescentConfig) { - assert_eq!(x.rows, y.len, "X.rows must match y.len"); - assert_eq!(x.cols, self.w.len, "X.cols must match w.len"); - let n = x.rows as f64; - let d = x.cols; - - for _epoch in 0..cfg.epochs { - let y_hat = self.predict(x); + pub fn save_binary(&self, path: &str) -> Result<(), Box> { + let encoded = bincode::serialize(self)?; + std::fs::write(path, encoded)?; + Ok(()) + } - let mut e = Vector::new(y.len); - for i in 0..y.len { - e.data[i] = y_hat.data[i] - y.data[i]; - } + pub fn load_binary(path: &str) -> Result> { + let data = std::fs::read(path)?; + let model: LinearModel = bincode::deserialize(&data)?; + Ok(model) + } +} - let scale = 1.0 / n; +impl Model for LinearModel { + fn predict(&self, input: &Vector) -> Vector { + let mut result = self.bias; + for (i, item) in input.iter().enumerate().take(self.input_size) { + result += self.weights[i] * *item; + } + vec![result] + } - let mut grad_w = vec![0.0; d]; - for (j, gw) in grad_w.iter_mut().enumerate() { - let mut s = 0.0; - for i in 0..x.rows { - s += x.data[i * x.cols + j] * e.data[i]; + fn train(&mut self, inputs: &[Vector], targets: &[Vector], config: &TrainConfig) { + for epoch in 0..config.epochs { + let mut total_loss = 0.0; + for (input, target) in inputs.iter().zip(targets.iter()) { + let prediction = self.predict(input)[0]; + let target_val = target[0]; + let error = prediction - target_val; + total_loss += error * error; + + for (i, item) in input.iter().enumerate().take(self.input_size) { + self.weights[i] -= config.learning_rate * 2.0 * error * *item; } - *gw = scale * s; - } - - let mut grad_b = 0.0; - for i in 0..e.len { - grad_b += e.data[i]; + self.bias -= config.learning_rate * 2.0 * error; } - grad_b *= scale; - - for (j, gw) in grad_w.iter().enumerate() { - self.w.data[j] -= cfg.lr * gw; + if epoch % 10 == 0 { + println!( + "Epoque {} - Loss: {:.6}", + epoch, + total_loss / inputs.len() as f64 + ); } - self.b -= cfg.lr * grad_b; } } } @@ -84,35 +83,31 @@ mod tests { use super::*; #[test] - fn learns_simple_1d_line() { - let n = 200usize; - let mut x_data = Vec::with_capacity(n); - let mut y_data = Vec::with_capacity(n); - - for i in 0..n { - let x = (i as f64) / 10.0; - x_data.push(x); - y_data.push(3.0 * x + 2.0); - } - - let x = Matrix::from_flat(n, 1, x_data); - let y = Vector::from_vec(y_data); - - let mut model = LinearRegression::new(1); - model.fit( - &x, - &y, - GradientDescentConfig { - lr: 0.01, - epochs: 2000, - }, - ); + fn test_predict() { + let mut model = LinearModel::new(2); + model.weights = vec![1.0, 2.0]; + model.bias = 1.0; + let input = vec![3.0, 4.0]; + let result = model.predict(&input); + assert_eq!(result[0], 12.0); + } + #[test] + fn test_train_loss_diminue() { + let mut model = LinearModel::new(2); + let inputs = vec![vec![1.0, 2.0]]; + let targets = vec![vec![5.0]]; + let config = TrainConfig { + learning_rate: 0.01, + epochs: 100, + }; + model.train(&inputs, &targets, &config); + let result = model.predict(&inputs[0])[0]; + let ecart = (result - 5.0).abs(); assert!( - (model.w.data[0] - 3.0).abs() < 1e-1, - "w was {}", - model.w.data[0] + ecart < 0.1, + "La prediction devrait etre proche de 5.0, got {}", + result ); - assert!((model.b - 2.0).abs() < 1e-1, "b was {}", model.b); } } diff --git a/core_lib/src/models/mlp.rs b/core_lib/src/models/mlp.rs index e69de29b..1c684ccc 100644 --- a/core_lib/src/models/mlp.rs +++ b/core_lib/src/models/mlp.rs @@ -0,0 +1,185 @@ +use crate::math::activations::{Activation, softmax}; +use crate::math::vector::Vector; +use crate::optim::gradient_descent::GradientDescentConfig; +use rand::Rng; +use serde::{Deserialize, Serialize}; + +fn default_activation() -> Activation { + Activation::ReLU +} + +#[derive(Clone, Debug, Serialize, Deserialize)] +pub struct Layer { + pub weights: Vec, + pub biases: Vector, + pub input_size: usize, + pub output_size: usize, +} + +impl Layer { + pub fn new(input_size: usize, output_size: usize) -> Self { + let mut rng = rand::thread_rng(); + let weights = (0..output_size) + .map(|_| { + let data: Vec = (0..input_size).map(|_| rng.gen_range(-0.5..0.5)).collect(); + Vector::from_vec(data) + }) + .collect(); + + let biases = Vector::new(output_size); + + Layer { + weights, + biases, + input_size, + output_size, + } + } + + pub fn forward(&self, input: &Vector) -> Vector { + let mut output = self.biases.clone(); + for i in 0..self.output_size { + output.data[i] += self.weights[i].dot(input); + } + output + } +} + +#[derive(Clone, Debug, Serialize, Deserialize)] +pub struct MLP { + pub layers: Vec, + #[serde(default = "default_activation")] + pub hidden_activation: Activation, +} + +impl MLP { + pub fn new(layer_sizes: &[usize]) -> Self { + let layers = layer_sizes + .windows(2) + .map(|w| Layer::new(w[0], w[1])) + .collect(); + MLP { + layers, + hidden_activation: Activation::ReLU, + } + } + + pub fn with_activation(mut self, activation: Activation) -> Self { + self.hidden_activation = activation; + self + } + + pub fn predict(&self, input: &Vector) -> Vector { + let mut current = input.clone(); + for (i, layer) in self.layers.iter().enumerate() { + let z = layer.forward(¤t); + current = if i == self.layers.len() - 1 { + softmax(&z) + } else { + self.hidden_activation.apply(&z) + }; + } + current + } + + pub fn train(&mut self, inputs: &[Vector], targets: &[Vector], cfg: GradientDescentConfig) { + for _epoch in 0..cfg.epochs { + for (input, target) in inputs.iter().zip(targets.iter()) { + let mut zs = Vec::new(); + let mut activations = vec![input.clone()]; + + for (i, layer) in self.layers.iter().enumerate() { + let z = layer.forward(activations.last().unwrap()); + zs.push(z.clone()); + let a = if i == self.layers.len() - 1 { + softmax(&z) + } else { + self.hidden_activation.apply(&z) + }; + activations.push(a); + } + + let output = activations.last().unwrap(); + let mut delta = output.sub(target); + + for l in (0..self.layers.len()).rev() { + let a_prev = &activations[l]; + + for i in 0..self.layers[l].output_size { + for j in 0..self.layers[l].input_size { + self.layers[l].weights[i].data[j] -= + cfg.lr * delta.data[i] * a_prev.data[j]; + } + self.layers[l].biases.data[i] -= cfg.lr * delta.data[i]; + } + + if l > 0 { + let mut new_delta = Vector::new(self.layers[l].input_size); + for j in 0..self.layers[l].input_size { + for i in 0..self.layers[l].output_size { + new_delta.data[j] += + self.layers[l].weights[i].data[j] * delta.data[i]; + } + } + let rd = self.hidden_activation.derivative(&zs[l - 1]); + delta = new_delta.hadamard(&rd); + } + } + } + } + } + + /// Sauvegarde le modele au format JSON + pub fn save_json(&self, path: &str) -> Result<(), Box> { + let json = serde_json::to_string_pretty(self)?; + std::fs::write(path, json)?; + Ok(()) + } + + /// Charge un modele depuis un fichier JSON + pub fn load_json(path: &str) -> Result> { + let content = std::fs::read_to_string(path)?; + let model: MLP = serde_json::from_str(&content)?; + Ok(model) + } + + /// Sauvegarde le modele au format binaire (bincode) + pub fn save_binary(&self, path: &str) -> Result<(), Box> { + let encoded = bincode::serialize(self)?; + std::fs::write(path, encoded)?; + Ok(()) + } + + /// Charge un modele depuis un fichier binaire + pub fn load_binary(path: &str) -> Result> { + let data = std::fs::read(path)?; + let model: MLP = bincode::deserialize(&data)?; + Ok(model) + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_predict_output_size() { + let mlp = MLP::new(&[4, 8, 3]); + let input = Vector::from_vec(vec![0.5, 0.2, 0.8, 0.1]); + let output = mlp.predict(&input); + assert_eq!(output.len, 3); + } + + #[test] + fn test_softmax_sums_to_one() { + let mlp = MLP::new(&[4, 8, 3]); + let input = Vector::from_vec(vec![0.5, 0.2, 0.8, 0.1]); + let output = mlp.predict(&input); + let sum: f64 = output.data.iter().sum(); + assert!( + (sum - 1.0).abs() < 1e-6, + "Softmax doit sommer a 1.0, got {}", + sum + ); + } +} diff --git a/core_lib/src/models/mod.rs b/core_lib/src/models/mod.rs index 0fe0395d..2645a958 100644 --- a/core_lib/src/models/mod.rs +++ b/core_lib/src/models/mod.rs @@ -1 +1,16 @@ +pub type Vector = Vec; + +pub struct TrainConfig { + pub learning_rate: f64, + pub epochs: usize, +} + +pub trait Model { + fn predict(&self, input: &Vector) -> Vector; + + fn train(&mut self, inputs: &[Vector], targets: &[Vector], config: &TrainConfig); +} + pub mod linear; +pub mod mlp; +pub mod rbf; diff --git a/core_lib/src/models/rbf.rs b/core_lib/src/models/rbf.rs index e69de29b..8b137891 100644 --- a/core_lib/src/models/rbf.rs +++ b/core_lib/src/models/rbf.rs @@ -0,0 +1 @@ + diff --git a/core_lib/src/optim/gradient_descent.rs b/core_lib/src/optim/gradient_descent.rs index 6cd5feea..5194e592 100644 --- a/core_lib/src/optim/gradient_descent.rs +++ b/core_lib/src/optim/gradient_descent.rs @@ -1,3 +1,5 @@ +use crate::models::Vector; + #[derive(Clone, Copy, Debug)] pub struct GradientDescentConfig { pub lr: f64, @@ -12,3 +14,38 @@ impl Default for GradientDescentConfig { } } } + +pub struct GradientDescent { + pub learning_rate: f64, +} + +impl GradientDescent { + pub fn new(learning_rate: f64) -> Self { + GradientDescent { learning_rate } + } + + pub fn update_weights(&self, weights: &mut Vector, bias: &mut f64, input: &Vector, error: f64) { + for i in 0..weights.len() { + weights[i] -= self.learning_rate * 2.0 * error * input[i]; + } + *bias -= self.learning_rate * 2.0 * error; + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_update_weights() { + let optim = GradientDescent::new(0.1); + let mut weights = vec![1.0, 1.0]; + let mut bias = 0.0; + let input = vec![1.0, 1.0]; + let error = 2.0; + optim.update_weights(&mut weights, &mut bias, &input, error); + assert!(weights[0] < 1.0, "Le poids doit diminuer"); + assert!(weights[1] < 1.0, "Le poids doit diminuer"); + assert!(bias < 0.0, "Le biais doit diminuer"); + } +} diff --git a/core_lib/tests/integration_tests.rs b/core_lib/tests/integration_tests.rs index cc740d71..1bc49cbf 100644 --- a/core_lib/tests/integration_tests.rs +++ b/core_lib/tests/integration_tests.rs @@ -1,6 +1,9 @@ +use core_lib::math::activations::{Activation, relu, sigmoid, softmax, tanh}; use core_lib::math::matrix::Matrix; use core_lib::math::vector::Vector; -use core_lib::models::linear::LinearRegression; +use core_lib::models::linear::LinearModel; +use core_lib::models::mlp::MLP; +use core_lib::models::{Model, TrainConfig}; use core_lib::optim::gradient_descent::GradientDescentConfig; // ─── Vector tests ─────────────────────────────────────────────── @@ -49,13 +52,6 @@ fn vector_scale_by_zero() { assert!(scaled.data.iter().all(|&x| x == 0.0)); } -#[test] -fn vector_scale_negative() { - let v = Vector::from_vec(vec![1.0, -2.0]); - let s = v.scale(-1.0); - assert_eq!(s.data, vec![-1.0, 2.0]); -} - #[test] fn vector_dot_orthogonal() { let a = Vector::from_vec(vec![1.0, 0.0]); @@ -97,14 +93,6 @@ fn vector_sub_dimension_mismatch() { let _ = a.sub(&b); } -#[test] -#[should_panic(expected = "Vector dimensions mismatch")] -fn vector_hadamard_dimension_mismatch() { - let a = Vector::new(2); - let b = Vector::new(3); - let _ = a.hadamard(&b); -} - // ─── Matrix tests ─────────────────────────────────────────────── #[test] @@ -115,27 +103,6 @@ fn matrix_new_is_zeroed() { assert!(m.data.iter().all(|&x| x == 0.0)); } -#[test] -fn matrix_from_flat_stores_correctly() { - let m = Matrix::from_flat(2, 3, vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]); - assert_eq!(m.data[0], 1.0); - assert_eq!(m.data[5], 6.0); -} - -#[test] -#[should_panic(expected = "Dimension mismatch")] -fn matrix_from_flat_wrong_size() { - Matrix::from_flat(2, 2, vec![1.0, 2.0, 3.0]); -} - -#[test] -fn matrix_random_has_correct_shape() { - let m = Matrix::random(5, 3); - assert_eq!(m.rows, 5); - assert_eq!(m.cols, 3); - assert_eq!(m.data.len(), 15); -} - #[test] fn matrix_transpose_square() { let m = Matrix::from_flat(2, 2, vec![1.0, 2.0, 3.0, 4.0]); @@ -156,8 +123,6 @@ fn matrix_transpose_rectangular() { fn matrix_double_transpose_is_identity() { let m = Matrix::from_flat(2, 3, vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]); let tt = m.transpose().transpose(); - assert_eq!(tt.rows, m.rows); - assert_eq!(tt.cols, m.cols); assert_eq!(tt.data, m.data); } @@ -169,17 +134,6 @@ fn matrix_multiply_identity() { assert_eq!(result.data, a.data); } -#[test] -fn matrix_multiply_vector_column() { - // Matrix (2x3) * column vector as Matrix (3x1) - let a = Matrix::from_flat(2, 3, vec![1.0, 0.0, 0.0, 0.0, 1.0, 0.0]); - let b = Matrix::from_flat(3, 1, vec![5.0, 7.0, 9.0]); - let r = a.multiply(&b); - assert_eq!(r.rows, 2); - assert_eq!(r.cols, 1); - assert_eq!(r.data, vec![5.0, 7.0]); -} - #[test] #[should_panic] fn matrix_multiply_incompatible() { @@ -188,6 +142,94 @@ fn matrix_multiply_incompatible() { let _ = a.multiply(&b); } +// ─── Activation tests (integration) ──────────────────────────── + +#[test] +fn activation_sigmoid_integration() { + let v = Vector::from_vec(vec![-5.0, -1.0, 0.0, 1.0, 5.0]); + let s = sigmoid(&v); + assert!(s.data[0] < 0.01); + assert!((s.data[2] - 0.5).abs() < 1e-10); + assert!(s.data[4] > 0.99); +} + +#[test] +fn activation_tanh_integration() { + let v = Vector::from_vec(vec![-5.0, 0.0, 5.0]); + let t = tanh(&v); + assert!(t.data[0] < -0.99); + assert!(t.data[1].abs() < 1e-10); + assert!(t.data[2] > 0.99); +} + +#[test] +fn activation_relu_integration() { + let v = Vector::from_vec(vec![-5.0, -0.1, 0.0, 0.1, 5.0]); + let r = relu(&v); + assert_eq!(r.data[0], 0.0); + assert_eq!(r.data[1], 0.0); + assert_eq!(r.data[2], 0.0); + assert_eq!(r.data[3], 0.1); + assert_eq!(r.data[4], 5.0); +} + +#[test] +fn activation_softmax_integration() { + let v = Vector::from_vec(vec![1.0, 2.0, 3.0, 4.0]); + let s = softmax(&v); + let sum: f64 = s.data.iter().sum(); + assert!((sum - 1.0).abs() < 1e-10); + // Doit etre croissant + for i in 0..3 { + assert!(s.data[i] < s.data[i + 1]); + } +} + +#[test] +fn activation_enum_apply() { + let v = Vector::from_vec(vec![-1.0, 0.0, 1.0]); + let r = Activation::ReLU.apply(&v); + assert_eq!(r.data, vec![0.0, 0.0, 1.0]); + + let s = Activation::Sigmoid.apply(&Vector::from_vec(vec![0.0])); + assert!((s.data[0] - 0.5).abs() < 1e-10); + + let t = Activation::Tanh.apply(&Vector::from_vec(vec![0.0])); + assert!(t.data[0].abs() < 1e-10); +} + +// ─── LinearModel tests ───────────────────────────────────────── + +#[test] +fn linear_model_predict_zero_weights() { + let model = LinearModel::new(3); + let input = vec![1.0, 2.0, 3.0]; + let result = model.predict(&input); + assert_eq!(result, vec![0.0]); +} + +#[test] +fn linear_model_train_converges() { + let mut model = LinearModel::new(1); + // y = 3*x + 1 + let inputs: Vec> = (0..50).map(|i| vec![i as f64 / 50.0]).collect(); + let targets: Vec> = inputs.iter().map(|x| vec![3.0 * x[0] + 1.0]).collect(); + let config = TrainConfig { + learning_rate: 0.05, + epochs: 200, + }; + model.train(&inputs, &targets, &config); + + let pred = model.predict(&vec![0.5]); + let expected = 3.0 * 0.5 + 1.0; + assert!( + (pred[0] - expected).abs() < 0.5, + "prediction {} should be close to {}", + pred[0], + expected + ); +} + // ─── GradientDescentConfig tests ──────────────────────────────── #[test] @@ -197,127 +239,365 @@ fn gradient_descent_default() { assert_eq!(cfg.epochs, 5000); } -// ─── LinearRegression tests ──────────────────────────────────── +// Helper : tente d'entrainer un MLP plusieurs fois (l'init aleatoire +// peut mener a des minima locaux). Retourne true si le test passe. +#[allow(clippy::too_many_arguments)] +fn train_and_check( + arch: &[usize], + inputs: &[Vector], + targets: &[Vector], + expected_classes: &[usize], + lr: f64, + epochs: usize, + max_attempts: usize, + activation: Activation, +) -> bool { + for _ in 0..max_attempts { + let mut mlp = MLP::new(arch).with_activation(activation); + let cfg = GradientDescentConfig { lr, epochs }; + mlp.train(inputs, targets, cfg); + + let all_correct = inputs + .iter() + .zip(expected_classes.iter()) + .all(|(inp, &expected)| mlp.predict(inp).argmax() == expected); + if all_correct { + return true; + } + } + false +} + +// ─── MLP tests : XOR ───────────────────────────────────────────── #[test] -fn linear_regression_predict_zero_weights() { - let model = LinearRegression::new(3); - let x = Matrix::from_flat(2, 3, vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]); - let y_hat = model.predict(&x); - assert_eq!(y_hat.len, 2); - assert!(y_hat.data.iter().all(|&v| v == 0.0)); +fn mlp_xor() { + let inputs = vec![ + Vector::from_vec(vec![0.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![1.0, 1.0]), + ]; + let targets = vec![ + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![1.0, 0.0]), + ]; + let expected = vec![0, 1, 1, 0]; + + assert!( + train_and_check( + &[2, 16, 2], + &inputs, + &targets, + &expected, + 1.0, + 5000, + 5, + Activation::Sigmoid + ), + "XOR devrait converger en 5 tentatives" + ); } +// ─── MLP tests : AND ──────────────────────────────────────────── + #[test] -fn linear_regression_mse_zero_error() { - let y = Vector::from_vec(vec![1.0, 2.0, 3.0]); - assert_eq!(LinearRegression::mse_loss(&y, &y), 0.0); +fn mlp_and() { + let inputs = vec![ + Vector::from_vec(vec![0.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![1.0, 1.0]), + ]; + let targets = vec![ + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + ]; + let expected = vec![0, 0, 0, 1]; + + assert!( + train_and_check( + &[2, 8, 2], + &inputs, + &targets, + &expected, + 1.0, + 5000, + 5, + Activation::Sigmoid + ), + "AND devrait converger en 5 tentatives" + ); } +// ─── MLP tests : OR ───────────────────────────────────────────── + #[test] -fn linear_regression_mse_known_value() { - let y_hat = Vector::from_vec(vec![1.0, 2.0, 3.0]); - let y = Vector::from_vec(vec![1.0, 2.0, 4.0]); - // error = [0, 0, -1], mse = (0 + 0 + 1) / 3 - let mse = LinearRegression::mse_loss(&y_hat, &y); - assert!((mse - 1.0 / 3.0).abs() < 1e-12); +fn mlp_or() { + let inputs = vec![ + Vector::from_vec(vec![0.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![1.0, 1.0]), + ]; + let targets = vec![ + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![0.0, 1.0]), + ]; + let expected = vec![0, 1, 1, 1]; + + assert!( + train_and_check( + &[2, 8, 2], + &inputs, + &targets, + &expected, + 1.0, + 3000, + 5, + Activation::Sigmoid + ), + "OR devrait converger en 5 tentatives" + ); } +// ─── MLP tests : multi-classes (3 classes) ────────────────────── + +#[test] +fn mlp_multiclass() { + let inputs = vec![ + Vector::from_vec(vec![0.0, 0.0]), + Vector::from_vec(vec![0.1, 0.1]), + Vector::from_vec(vec![0.0, 0.1]), + Vector::from_vec(vec![1.0, 1.0]), + Vector::from_vec(vec![0.9, 0.9]), + Vector::from_vec(vec![1.0, 0.9]), + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![0.9, 0.1]), + Vector::from_vec(vec![1.0, 0.1]), + ]; + let targets = vec![ + Vector::from_vec(vec![1.0, 0.0, 0.0]), + Vector::from_vec(vec![1.0, 0.0, 0.0]), + Vector::from_vec(vec![1.0, 0.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0, 0.0]), + Vector::from_vec(vec![0.0, 0.0, 1.0]), + Vector::from_vec(vec![0.0, 0.0, 1.0]), + Vector::from_vec(vec![0.0, 0.0, 1.0]), + ]; + let expected = vec![0, 0, 0, 1, 1, 1, 2, 2, 2]; + + assert!( + train_and_check( + &[2, 16, 3], + &inputs, + &targets, + &expected, + 0.5, + 5000, + 5, + Activation::Sigmoid + ), + "Multi-class devrait converger en 5 tentatives" + ); +} + +// ─── MLP tests : regression simple (approximation sinus) ─────── + #[test] -#[should_panic] -fn linear_regression_predict_dimension_mismatch() { - let model = LinearRegression::new(3); - let x = Matrix::from_flat(2, 5, vec![0.0; 10]); - let _ = model.predict(&x); -} - -#[test] -fn linear_regression_fit_constant_function() { - // y = 5.0 (constant), small x values to aid convergence - let n = 100; - let x_data: Vec = (0..n).map(|i| (i as f64) / 100.0).collect(); - let y_data: Vec = vec![5.0; n]; - - let x = Matrix::from_flat(n, 1, x_data); - let y = Vector::from_vec(y_data); - - let mut model = LinearRegression::new(1); - model.fit( - &x, - &y, - GradientDescentConfig { - lr: 0.1, - epochs: 5000, - }, +fn mlp_regression_sine() { + let mut inputs = Vec::new(); + let mut targets = Vec::new(); + let mut expected = Vec::new(); + + for i in 0..10 { + let x = -std::f64::consts::PI + (i as f64) * std::f64::consts::PI / 10.0; + inputs.push(Vector::from_vec(vec![x / std::f64::consts::PI])); + targets.push(Vector::from_vec(vec![1.0, 0.0])); + expected.push(0); + } + for i in 1..=10 { + let x = (i as f64) * std::f64::consts::PI / 10.0; + inputs.push(Vector::from_vec(vec![x / std::f64::consts::PI])); + targets.push(Vector::from_vec(vec![0.0, 1.0])); + expected.push(1); + } + + assert!( + train_and_check( + &[1, 16, 2], + &inputs, + &targets, + &expected, + 0.5, + 3000, + 5, + Activation::Sigmoid + ), + "Regression sinus devrait converger en 5 tentatives" ); +} + +// ─── MLP tests : avec differentes activations ────────────────── - // w should be ~0, b should be ~5 - assert!(model.w.data[0].abs() < 1.0, "w={}", model.w.data[0]); - assert!((model.b - 5.0).abs() < 1.0, "b={}", model.b); +#[test] +fn mlp_with_sigmoid_activation() { + let mut mlp = MLP::new(&[2, 8, 2]).with_activation(Activation::Sigmoid); + let cfg = GradientDescentConfig { + lr: 1.0, + epochs: 3000, + }; + + let inputs = vec![ + Vector::from_vec(vec![0.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![1.0, 1.0]), + ]; + let targets = vec![ + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![0.0, 1.0]), + Vector::from_vec(vec![0.0, 1.0]), + ]; + + mlp.train(&inputs, &targets, cfg); + + assert_eq!(mlp.predict(&inputs[0]).argmax(), 0); + assert_eq!(mlp.predict(&inputs[1]).argmax(), 1); } #[test] -fn linear_regression_fit_2d() { - // y = 2*x1 + 3*x2 + 1 - let n = 200; - let mut x_data = Vec::with_capacity(n * 2); - let mut y_data = Vec::with_capacity(n); +fn mlp_with_tanh_activation() { + let mut mlp = MLP::new(&[2, 8, 2]).with_activation(Activation::Tanh); + let cfg = GradientDescentConfig { + lr: 0.5, + epochs: 3000, + }; - for i in 0..n { - let x1 = (i as f64) / 100.0; - let x2 = (i as f64) / 200.0; - x_data.push(x1); - x_data.push(x2); - y_data.push(2.0 * x1 + 3.0 * x2 + 1.0); + let inputs = vec![ + Vector::from_vec(vec![0.0, 0.0]), + Vector::from_vec(vec![1.0, 1.0]), + ]; + let targets = vec![ + Vector::from_vec(vec![1.0, 0.0]), + Vector::from_vec(vec![0.0, 1.0]), + ]; + + mlp.train(&inputs, &targets, cfg); + + assert_eq!(mlp.predict(&inputs[0]).argmax(), 0); + assert_eq!(mlp.predict(&inputs[1]).argmax(), 1); +} + +// ─── Serialisation tests ──────────────────────────────────────── + +#[test] +fn mlp_serialize_json_roundtrip() { + let mlp = MLP::new(&[3, 5, 2]); + let input = Vector::from_vec(vec![0.1, 0.2, 0.3]); + let pred_before = mlp.predict(&input); + + let path = "test_model.json"; + mlp.save_json(path).unwrap(); + let loaded = MLP::load_json(path).unwrap(); + let pred_after = loaded.predict(&input); + + for (a, b) in pred_before.data.iter().zip(pred_after.data.iter()) { + assert!((a - b).abs() < 1e-10, "JSON roundtrip: predictions differ"); } - let x = Matrix::from_flat(n, 2, x_data); - let y = Vector::from_vec(y_data); - - let mut model = LinearRegression::new(2); - model.fit( - &x, - &y, - GradientDescentConfig { - lr: 0.01, - epochs: 10000, - }, - ); + std::fs::remove_file(path).ok(); +} - // Check the model produces good predictions (low MSE) rather than exact weight recovery - let y_hat = model.predict(&x); - let mse = LinearRegression::mse_loss(&y_hat, &y); - assert!(mse < 0.1, "mse={mse}"); +#[test] +fn mlp_serialize_binary_roundtrip() { + let mlp = MLP::new(&[3, 5, 2]); + let input = Vector::from_vec(vec![0.1, 0.2, 0.3]); + let pred_before = mlp.predict(&input); + + let path = "test_model.bin"; + mlp.save_binary(path).unwrap(); + let loaded = MLP::load_binary(path).unwrap(); + let pred_after = loaded.predict(&input); + + for (a, b) in pred_before.data.iter().zip(pred_after.data.iter()) { + assert!( + (a - b).abs() < 1e-10, + "Binary roundtrip: predictions differ" + ); + } + + std::fs::remove_file(path).ok(); } #[test] -fn linear_regression_prediction_improves_after_training() { - let n = 100; - let x_data: Vec = (0..n).map(|i| (i as f64) / 10.0).collect(); - let y_data: Vec = x_data.iter().map(|&x| 2.0 * x + 1.0).collect(); +fn linear_model_serialize_json_roundtrip() { + let mut model = LinearModel::new(2); + model.weights = vec![1.5, -0.3]; + model.bias = 0.7; - let x = Matrix::from_flat(n, 1, x_data); - let y = Vector::from_vec(y_data); + let path = "test_linear.json"; + model.save_json(path).unwrap(); + let loaded = LinearModel::load_json(path).unwrap(); - let mut model = LinearRegression::new(1); + assert_eq!(loaded.weights, model.weights); + assert_eq!(loaded.bias, model.bias); + assert_eq!(loaded.input_size, model.input_size); - let y_hat_before = model.predict(&x); - let loss_before = LinearRegression::mse_loss(&y_hat_before, &y); + std::fs::remove_file(path).ok(); +} - model.fit( - &x, - &y, - GradientDescentConfig { - lr: 0.01, - epochs: 500, - }, - ); +#[test] +fn linear_model_serialize_binary_roundtrip() { + let mut model = LinearModel::new(2); + model.weights = vec![1.5, -0.3]; + model.bias = 0.7; - let y_hat_after = model.predict(&x); - let loss_after = LinearRegression::mse_loss(&y_hat_after, &y); + let path = "test_linear.bin"; + model.save_binary(path).unwrap(); + let loaded = LinearModel::load_binary(path).unwrap(); - assert!( - loss_after < loss_before, - "loss should decrease after training: before={loss_before}, after={loss_after}" - ); + assert_eq!(loaded.weights, model.weights); + assert_eq!(loaded.bias, model.bias); + + std::fs::remove_file(path).ok(); +} + +// ─── MLP predict output ──────────────────────────────────────── + +#[test] +fn mlp_predict_output_size() { + let mlp = MLP::new(&[4, 8, 3]); + let input = Vector::from_vec(vec![0.5, 0.2, 0.8, 0.1]); + let output = mlp.predict(&input); + assert_eq!(output.len, 3); +} + +#[test] +fn mlp_predict_softmax_sums_to_one() { + let mlp = MLP::new(&[4, 16, 8, 3]); + let input = Vector::from_vec(vec![0.5, 0.2, 0.8, 0.1]); + let output = mlp.predict(&input); + let sum: f64 = output.data.iter().sum(); + assert!((sum - 1.0).abs() < 1e-6); +} + +#[test] +fn mlp_deep_network() { + // Test avec un reseau plus profond + let mlp = MLP::new(&[3, 8, 8, 4, 2]); + let input = Vector::from_vec(vec![0.5, 0.2, 0.8]); + let output = mlp.predict(&input); + assert_eq!(output.len, 2); + let sum: f64 = output.data.iter().sum(); + assert!((sum - 1.0).abs() < 1e-6); } diff --git a/target/debug/.cargo-lock "b/core_libsrcoptimgradient_descent.rs\357\200\2721\357\200\27229" similarity index 100% rename from target/debug/.cargo-lock rename to "core_libsrcoptimgradient_descent.rs\357\200\2721\357\200\27229" diff --git a/models/mlp_config.json b/models/mlp_config.json new file mode 100644 index 00000000..efaaac20 --- /dev/null +++ b/models/mlp_config.json @@ -0,0 +1 @@ +{"layer_sizes": [12288, 64, 3], "accuracy": 70.17543859649122} \ No newline at end of file diff --git a/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb new file mode 100644 index 00000000..3e2d27ab --- /dev/null +++ b/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb @@ -0,0 +1,62 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "eabb5f5e-fc9d-4a28-873e-02377f997f7c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prédiction: [0.3292883446740801, 0.3311297724629631, 0.3395818828629568]\n", + "Somme des probabilités: 1.0\n" + ] + } + ], + "source": [ + "import sys\n", + "sys.path.insert(0, r\"C:\\VisionAI\\python_binding\")\n", + "\n", + "import vision_ai\n", + "\n", + "model = vision_ai.PyMLP([4, 8, 3])\n", + "\n", + "input_test = [0.1, 0.2, 0.3, 0.4]\n", + "result = model.predict(input_test)\n", + "print(\"Prédiction:\", result)\n", + "print(\"Somme des probabilités:\", sum(result))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "deb0989d-7794-4a1c-a387-634003899bf3", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/.ipynb_checkpoints/test_linear-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/test_linear-checkpoint.ipynb new file mode 100644 index 00000000..8736cc99 --- /dev/null +++ b/notebooks/.ipynb_checkpoints/test_linear-checkpoint.ipynb @@ -0,0 +1,351 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "eabb5f5e-fc9d-4a28-873e-02377f997f7c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prédiction: [0.3412381716610184, 0.30826382830359494, 0.3504980000353866]\n", + "Somme des probabilités: 1.0\n" + ] + } + ], + "source": [ + "import sys\n", + "sys.path.insert(0, r\"C:\\VisionAI\\python_binding\")\n", + "\n", + "import vision_ai\n", + "\n", + "model = vision_ai.PyMLP([4, 8, 3])\n", + "\n", + "input_test = [0.1, 0.2, 0.3, 0.4]\n", + "result = model.predict(input_test)\n", + "print(\"Prédiction:\", result)\n", + "print(\"Somme des probabilités:\", sum(result))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "deb0989d-7794-4a1c-a387-634003899bf3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Entrainement termine !\n", + "Input [0.1, 0.2] -> Prediction: [0.55, 0.265, 0.184]\n", + "Input [0.4, 0.5] -> Prediction: [0.441, 0.26, 0.299]\n", + "Input [0.8, 0.9] -> Prediction: [0.286, 0.219, 0.495]\n", + "Input [0.2, 0.3] -> Prediction: [0.516, 0.266, 0.219]\n" + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "model = vision_ai.PyMLP([2, 8, 3])\n", + "\n", + "inputs = [[0.1, 0.2], [0.4, 0.5], [0.8, 0.9], [0.2, 0.3]]\n", + "targets = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [1.0, 0.0, 0.0]]\n", + "\n", + "model.train(inputs, targets, 0.01, 200)\n", + "\n", + "print(\"Entrainement termine !\")\n", + "for i, inp in enumerate(inputs):\n", + " pred = model.predict(inp)\n", + " print(f\"Input {inp} -> Prediction: {[round(p, 3) for p in pred]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9d4b0987-ee31-4708-ae22-759ab530302d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoque 1/10 - Loss: 1.0537\n", + "Epoque 2/10 - Loss: 0.9164\n", + "Epoque 3/10 - Loss: 0.6873\n", + "Epoque 4/10 - Loss: 0.7143\n", + "Epoque 5/10 - Loss: 0.7142\n", + "Epoque 6/10 - Loss: 0.7143\n", + "Epoque 7/10 - Loss: 0.8818\n", + "Epoque 8/10 - Loss: 0.9028\n", + "Epoque 9/10 - Loss: 0.7143\n", + "Epoque 10/10 - Loss: 0.7143\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import sys\n", + "sys.path.insert(0, r\"C:\\VisionAI\\python_binding\")\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import vision_ai\n", + "\n", + "X_train = np.load(r\"C:\\VisionAI\\datasets\\X_train.npy\")\n", + "y_train = np.load(r\"C:\\VisionAI\\datasets\\y_train.npy\")\n", + "X_test = np.load(r\"C:\\VisionAI\\datasets\\X_test.npy\")\n", + "y_test = np.load(r\"C:\\VisionAI\\datasets\\y_test.npy\")\n", + "\n", + "CLASSES = [\"aucun\", \"humain\", \"animal\"]\n", + "\n", + "inputs_train = [X_train[i].tolist() for i in range(len(X_train))]\n", + "targets_train = []\n", + "for label in y_train:\n", + " t = [0.0, 0.0, 0.0]\n", + " t[int(label)] = 1.0\n", + " targets_train.append(t)\n", + "\n", + "losses = []\n", + "model = vision_ai.PyMLP([12288, 64, 3])\n", + "\n", + "for epoch in range(10):\n", + " model.train(inputs_train, targets_train, 0.001, 1)\n", + " preds = [model.predict(x) for x in inputs_train]\n", + " loss = sum(\n", + " sum((p - t)**2 for p, t in zip(pred, target))\n", + " for pred, target in zip(preds, targets_train)\n", + " ) / len(inputs_train)\n", + " losses.append(loss)\n", + " print(f\"Epoque {epoch+1}/10 - Loss: {loss:.4f}\")\n", + "\n", + "plt.figure(figsize=(8, 4))\n", + "plt.plot(range(1, 11), losses, marker='o', color='blue')\n", + "plt.title(\"Courbe de loss - MLP\")\n", + "plt.xlabel(\"Epoque\")\n", + "plt.ylabel(\"Loss\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "87874cab-9b4a-4ba3-a7ff-cb2bf7142a8a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy : 70.2%\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.metrics import confusion_matrix\n", + "\n", + "inputs_test = [X_test[i].tolist() for i in range(len(X_test))]\n", + "predictions = [model.predict(x) for x in inputs_test]\n", + "y_pred = [pred.index(max(pred)) for pred in predictions]\n", + "\n", + "correct = sum(1 for p, t in zip(y_pred, y_test) if p == int(t))\n", + "accuracy = correct / len(y_test) * 100\n", + "print(f\"Accuracy : {accuracy:.1f}%\")\n", + "\n", + "cm = confusion_matrix(y_test.astype(int), y_pred)\n", + "\n", + "fig, ax = plt.subplots(figsize=(7, 6))\n", + "im = ax.imshow(cm, cmap=\"Blues\")\n", + "ax.set_xticks([0, 1, 2])\n", + "ax.set_yticks([0, 1, 2])\n", + "ax.set_xticklabels(CLASSES)\n", + "ax.set_yticklabels(CLASSES)\n", + "ax.set_xlabel(\"Prediction\")\n", + "ax.set_ylabel(\"Reel\")\n", + "ax.set_title(\"Matrice de confusion - MLP\")\n", + "\n", + "for i in range(3):\n", + " for j in range(3):\n", + " ax.text(j, i, str(cm[i, j]), ha=\"center\", va=\"center\", color=\"black\", fontsize=14)\n", + "\n", + "plt.colorbar(im)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8439463a-e353-4c8c-8e2b-7fe47232f01c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Re-entrainement avec plus d'epoques...\n", + "Termine !\n", + "Accuracy avec 50 epoques : 70.2%\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Re-entrainement avec plus d'epoques...\")\n", + "model2 = vision_ai.PyMLP([12288, 64, 3])\n", + "model2.train(inputs_train, targets_train, 0.001, 50)\n", + "print(\"Termine !\")\n", + "\n", + "predictions2 = [model2.predict(x) for x in inputs_test]\n", + "y_pred2 = [pred.index(max(pred)) for pred in predictions2]\n", + "\n", + "correct2 = sum(1 for p, t in zip(y_pred2, y_test) if p == int(t))\n", + "accuracy2 = correct2 / len(y_test) * 100\n", + "print(f\"Accuracy avec 50 epoques : {accuracy2:.1f}%\")\n", + "\n", + "cm2 = confusion_matrix(y_test.astype(int), y_pred2)\n", + "\n", + "fig, ax = plt.subplots(figsize=(7, 6))\n", + "im = ax.imshow(cm2, cmap=\"Blues\")\n", + "ax.set_xticks([0, 1, 2])\n", + "ax.set_yticks([0, 1, 2])\n", + "ax.set_xticklabels(CLASSES)\n", + "ax.set_yticklabels(CLASSES)\n", + "ax.set_xlabel(\"Prediction\")\n", + "ax.set_ylabel(\"Reel\")\n", + "ax.set_title(\"Matrice de confusion - MLP 50 epoques\")\n", + "\n", + "for i in range(3):\n", + " for j in range(3):\n", + " ax.text(j, i, str(cm2[i, j]), ha=\"center\", va=\"center\", color=\"black\", fontsize=14)\n", + "\n", + "plt.colorbar(im)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "1a4266a1-f1cb-4408-939f-83a29c832e9c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparaison de differents learning rates...\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Comparaison de differents learning rates...\")\n", + "\n", + "learning_rates = [0.1, 0.01, 0.001]\n", + "colors = ['red', 'green', 'blue']\n", + "all_losses = []\n", + "\n", + "for lr in learning_rates:\n", + " m = vision_ai.PyMLP([12288, 64, 3])\n", + " lr_losses = []\n", + " for epoch in range(10):\n", + " m.train(inputs_train, targets_train, lr, 1)\n", + " preds = [m.predict(x) for x in inputs_train]\n", + " loss = sum(\n", + " sum((p - t)**2 for p, t in zip(pred, target))\n", + " for pred, target in zip(preds, targets_train)\n", + " ) / len(inputs_train)\n", + " lr_losses.append(loss)\n", + " all_losses.append(lr_losses)\n", + "\n", + "plt.figure(figsize=(10, 5))\n", + "for i, lr in enumerate(learning_rates):\n", + " plt.plot(range(1, 11), all_losses[i], marker='o', color=colors[i], label=f'lr={lr}')\n", + "plt.title(\"Impact du learning rate sur la convergence\")\n", + "plt.xlabel(\"Epoque\")\n", + "plt.ylabel(\"Loss\")\n", + "plt.legend()\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8cff18a6-3a46-488c-ba5a-e3ac8279b209", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30cd3eca-33c5-4c9d-80ab-775dd3eea145", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/Untitled.ipynb b/notebooks/Untitled.ipynb new file mode 100644 index 00000000..3e2d27ab --- /dev/null +++ b/notebooks/Untitled.ipynb @@ -0,0 +1,62 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "eabb5f5e-fc9d-4a28-873e-02377f997f7c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prédiction: [0.3292883446740801, 0.3311297724629631, 0.3395818828629568]\n", + "Somme des probabilités: 1.0\n" + ] + } + ], + "source": [ + "import sys\n", + "sys.path.insert(0, r\"C:\\VisionAI\\python_binding\")\n", + "\n", + "import vision_ai\n", + "\n", + "model = vision_ai.PyMLP([4, 8, 3])\n", + "\n", + "input_test = [0.1, 0.2, 0.3, 0.4]\n", + "result = model.predict(input_test)\n", + "print(\"Prédiction:\", result)\n", + "print(\"Somme des probabilités:\", sum(result))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "deb0989d-7794-4a1c-a387-634003899bf3", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/Untitled1.ipynb b/notebooks/Untitled1.ipynb new file mode 100644 index 00000000..f0c6e459 --- /dev/null +++ b/notebooks/Untitled1.ipynb @@ -0,0 +1,140 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "269a4036-3f06-4dac-ad19-49d9af70697b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train : (1094, 12288)\n", + "Test : (274, 12288)\n", + "Classes : [0 1 2]\n" + ] + } + ], + "source": [ + "import sys\n", + "sys.path.insert(0, r\"C:\\VisionAI\\python_binding\")\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import vision_ai\n", + "\n", + "X_train = np.load(r\"C:\\VisionAI\\datasets\\X_train.npy\")\n", + "y_train = np.load(r\"C:\\VisionAI\\datasets\\y_train.npy\")\n", + "X_test = np.load(r\"C:\\VisionAI\\datasets\\X_test.npy\")\n", + "y_test = np.load(r\"C:\\VisionAI\\datasets\\y_test.npy\")\n", + "\n", + "print(f\"Train : {X_train.shape}\")\n", + "print(f\"Test : {X_test.shape}\")\n", + "print(f\"Classes : {np.unique(y_train)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bf8fd578-4afa-448c-a749-f15528c84e45", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "aucun : 400 images\n", + "humain : 287 images\n", + "animal : 407 images\n" + ] + } + ], + "source": [ + "CLASSES = [\"aucun\", \"humain\", \"animal\"]\n", + "counts = [np.sum(y_train == i) for i in range(3)]\n", + "\n", + "plt.bar(CLASSES, counts, color=[\"blue\", \"green\", \"orange\"])\n", + "plt.title(\"Repartition des classes dans le dataset\")\n", + "plt.ylabel(\"Nombre d images\")\n", + "plt.xlabel(\"Classe\")\n", + "plt.show()\n", + "\n", + "for i, c in enumerate(CLASSES):\n", + " print(f\"{c} : {counts[i]} images\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa548098-c8c6-4e6e-9b13-5429c519ceea", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Preparation des donnees...\n" + ] + } + ], + "source": [ + "print(\"Preparation des donnees...\")\n", + "\n", + "inputs_train = [X_train[i].tolist() for i in range(len(X_train))]\n", + "targets_train = []\n", + "for label in y_train:\n", + " target = [0.0, 0.0, 0.0]\n", + " target[int(label)] = 1.0\n", + " targets_train.append(target)\n", + "\n", + "print(f\"Donnees pretes : {len(inputs_train)} exemples\")\n", + "print(\"Lancement de l entrainement...\")\n", + "\n", + "model = vision_ai.PyMLP([12288, 256, 128, 3])\n", + "model.train(inputs_train, targets_train, 0.001, 10)\n", + "\n", + "print(\"Entrainement termine !\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e494c2e-0bef-4f6b-b853-723cd3c0dd4e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/Untitled2.ipynb b/notebooks/Untitled2.ipynb new file mode 100644 index 00000000..69c993ca --- /dev/null +++ b/notebooks/Untitled2.ipynb @@ -0,0 +1,41 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "c800c9f4-cd38-4bf6-b8f4-f92cb0cb7e82", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "98d3ef3b-feb6-4db5-b00f-8ffef3409d4b", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/analyse_dataset.ipynb b/notebooks/analyse_dataset.ipynb index e69de29b..6d39e981 100644 --- a/notebooks/analyse_dataset.ipynb +++ b/notebooks/analyse_dataset.ipynb @@ -0,0 +1,333 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os, sys, subprocess\n", + "\n", + "IN_COLAB = os.path.exists('/content')\n", + "\n", + "if IN_COLAB:\n", + " BASE_DIR = '/content/VisionAI'\n", + " if not os.path.exists(BASE_DIR):\n", + " subprocess.run(\n", + " ['git', 'clone', '-b', 'ML',\n", + " 'https://github.com/SINCER-Ali/VisionAI.git', BASE_DIR],\n", + " check=True\n", + " )\n", + " try:\n", + " import vision_ai\n", + " except ImportError:\n", + " subprocess.run(['pip', 'install', 'maturin', '-q'], check=True)\n", + " subprocess.run(['maturin', 'develop', '--release'],\n", + " cwd=f'{BASE_DIR}/python_binding', check=True)\n", + "else:\n", + " BASE_DIR = r'C:\\VisionAI'\n", + "\n", + "BINDING_DIR = os.path.join(BASE_DIR, 'python_binding')\n", + "DATASET_DIR = os.path.join(BASE_DIR, 'datasets')\n", + "DATASET_TRAIN_DIR = os.path.join(DATASET_DIR, 'train')\n", + "sys.path.insert(0, BINDING_DIR)\n", + "\n", + "import vision_ai\n", + "print(f\"Environnement : {'Google Colab' if IN_COLAB else 'Local'}\")\n", + "print(f\"BASE_DIR : {BASE_DIR}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "c800c9f4-cd38-4bf6-b8f4-f92cb0cb7e82", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train : (1094, 12288)\n", + "Test : (274, 12288)\n", + "Donnees chargees !\n" + ] + } + ], + "source": [ + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.image as mpimg\n", + "import os\n", + "\n", + "X_train = np.load(os.path.join(DATASET_DIR, \"X_train.npy\"))\n", + "y_train = np.load(os.path.join(DATASET_DIR, \"y_train.npy\"))\n", + "X_test = np.load(os.path.join(DATASET_DIR, \"X_test.npy\"))\n", + "y_test = np.load(os.path.join(DATASET_DIR, \"y_test.npy\"))\n", + "\n", + "CLASSES = [\"aucun\", \"humain\", \"animal\"]\n", + "\n", + "print(f\"Train : {X_train.shape}\")\n", + "print(f\"Test : {X_test.shape}\")\n", + "print(\"Donnees chargees !\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "98d3ef3b-feb6-4db5-b00f-8ffef3409d4b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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6glPXRQq2+tJSa436glQrTHxU86ayBHXvo/nVIqhdkdpdqv4mvcCiAz/U0qTgoi+R2rVru+B8IdRSo2WrpUbrq5ChL7TQ7srUaqNwqP5f9aWuXZdqCQw9wCux66bd52qVU6u0vqyrV6/udoVql6h2n8Ze9oXS41CAVqun+v9VsFArutf9kUcBR7thFarVb6meD9UvK0ip1Vytrgqm+iGg10MHqGmdFQDUgqfulkJbxuKiVng9RtWr6oA21RcrJCiwqSsx7yCtUCpD0HOhXcFaF62HWvNit3KqdVet/Xp9dFCSTg6isgm9ptr9LApT2p7UXZOWqceiM8dpmfoRIFo3dXGlXfU66ElddCmMqpVR66lQrceekGXF14Ktx6Llq9s7zauD4vS+id0aq+l6T+i10AF0asVWGUBoi29i6L2o7tvUjZbqSvUe1bag8Kf64cRI6PMUH91O73O991R2oR+2Cpza9kJ/XGke7cHRe08HO+ozQXXCeo/GPuOhfqBpW9T8+rGl953ef3oe9ThVjqBtY9GiRW6+2F3oaZrCq5ajzwX9CPO6vPPovrXO+lGg95ZeC21jWqZKr7w+iBXe9byqXEcBXq3OKq9SQAaSXYr1ywCkk67AvEHdHRUtWtR1IaUuiUK724qvK7DZs2cHbrnllkDx4sXd7fW/TZs2gZ9//jnsdl988UWgcuXKgUyZMoV1vaVuuS677LI41y++rsA+/vjjQK9evQKFCxcOZM+e3XUF5HUvFWrIkCGu2zB1w1S3bt3A0qVLz1rmudYtdldK8tdffwW6devmHmfmzJldV0Lqyiq0iyjRcuLqeiu+Lspi0+O5+eabAzly5AgULFgw8MQTTwS7bIrdVZG6i7rtttsCBQoUcI9V93HnnXe610bU1VSPHj1ct0kXXXSR635Jl0eNGnXe9fDWRV2CFSpUyC2/TJky7rF5XVjF1RXY+vXrA40bNw7kypXLrX/Hjh2DXaF5z+/+/fvdcipWrOjWSd2V1a5dO6wLtOXLl7vtqUSJEu6+9ZrfdNNN7rWM7a233grUrFnTbRN6nOr+6emnnw7s2rUr0cuKTd179e3b13WFpeXXr18/sHbt2rNeT3U39eSTTwbn03anLqzi25Zjd/GlbsNCn6Nt27YFHnjggUDZsmUD2bJlC+TPnz/QoEGDwKxZs867znFtvwl5ns5l8uTJrvsyPX96z0yZMiXO+xk7dqx7b2g+vb56PLE/O2Tjxo2B66+/3q1LaLdq6ibu/vvvd9uOtiF1d6d5Yz/f6pbvqquuCuTNm9ctQ/c1YMAA1/VYqK1bt7ptWJ9vet/qc0Gv/WeffRY239tvv+2274wZM9ItGFJUlP4kf4QGAAAAkh81twAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g5M4/P9zhOsMRup0nlMGAgAApD7qvVYnjNFJSnTinfgQbs1csI2Ojk7J1wcAAAAXQKd+15ki40O4NXMttt6TpVNHAgAAIHWJiYlxjZFebosP4dYsWIqgYEu4BQAASL3OV0LKAWUAAADwDcItAADwlTvvvNO17mm4++67g+NPnjxpffv2tTJlyliWLFlc3Wa3bt3syJEjwXnq168fvG3soVSpUhF6REgMyhIAAIBvvPfeezZp0qQ4pz3wwAP20UcfuSPty5cvb9u2bbNhw4bZihUrbM6cOW585cqV7dixY2G3W7ZsmZ06dcqKFSuWQo8C/wYttwAAwBe2bt1qjz/+uNWpU+eso+mXL1/ugq288cYbtnHjRps8ebK7Pn/+fPv888/d5VGjRtnixYuDw8iRI12wlcceeyzFHxMSj3ALAADSPAXQtm3butbX8ePHW8aMGcOmf/vtt8HLrVu3dv9btGhh2bJlc5enT58e53IHDx7s/pcoUcKVOyD1I9wCAIA0T7W0P/74o2t5LV269FnT1d2np3Dhwu6/gnDBggXd5R07dpx1m19++cU+++wzd7lr166WKRPVnGkB4RYAAKRpS5cutYEDB9q9997rWm8Te9ar+AwdOtROnz5tefPmtY4dOybBmiIlEG7hmyNcZcuWLXb77bdb/vz5LXv27HbFFVfYJ598EoFHAgBIKWvXrnUhVK2suXLlcoPXEqu6Wl0PPRhs37597v+ZM2fswIEDwbKDUH/++ae9++677nKnTp3cMpA2EG6RZo5w7dOnj/36668u4OqDSUe43nTTTe7DSXbv3m1169Z1H2T6kNMHmY6AVUj2PqAAAP6lXg6OHj3qBq9FVrW4uq7vC493INnXX38d7BnhxhtvDFvW6NGjXQOKGlR0kBrSDsItfHOEq3ZJKfTqtHwbNmxwXbx4Bw307NnTTpw4keKPCwCQ/O677z4XZkOHkiVLuml33XWXu16zZk1r06aNG/fEE09YpUqVgt8R1113nbVq1Sq4PH1fjBgxwl1WmQNdgKUthFv45ghXbz4F5OLFi7vLt912m/u/f/9+V5MFAEi/3n//fXvhhRdcCYIaVQoVKuQaVtSCq+8gjxpU9uzZ40rknnzyyYiuMxKPw/6Qao5w1YdJYo9w/e2334J1Vd583jxSpEiR4GXNd8011yTrYwEApA7q6SC2zJkzu+8cDeeiUjgNSJtouYUvj3BNzDwAAMA/CLfwzRGu0dHRYfPEvhz7SFgAAOA/hFv45ghX7/+iRYts165d7vKUKVPcf5Uw1KpVK4UfFQAASGlRAfbbWkxMjOXJk8cOHz5suXPnTvEXAeFKlSrluvzSEa4TJ0504+655x77+OOPXa1thQoV3IEA6vtWR7jOmzfPjf/999+tRo0a7uAxvY4FChSw7du3u9u/9dZbdMANwF+GREV6DZDePRlIlXmNllv45gjXiy++2BYsWOB6SNARrmq9VdhVDwycWQYAgPQh1YTbV155xQUSnbvZo93OnTt3di1wqr1UN1B79+4Nu53qM9UtVI4cOdxR8j169HC7s5G2j3DVDgWv1Tb0CFe1xKr/QbXSqs9b9WkbSq26Kl04dOiQ2350Ege1+gIAgPQhVYTbJUuW2H//+1+rVq1a2HidXvWrr75yZ61SZ/1qifP6LRUdiKRgq7CzcOFC17o3btw418IHAACA9Cfi4VantlMXUG+//bbly5cvOF71FGPHjrXXX3/dGjZs6M4sotOzKsQuXrzYzTNjxgxbv3696x9Vu5+bNWtm/fv3t5EjR3I2KgAAgHQo4uFWZQdqfW3cuHHY+GXLlrkDhkLHV6xY0dVc6mh40f+qVauGddTftGlTV3C8bt26eO/z+PHjbp7QAQAAAGlfRM9QpprK5cuXu7KE2HTauyxZsljevHnDxivIapo3T2iw9aZ70+Kjkwac7+wkya1p/68jev/Ad8+34EkAAPhOxFpudarUJ554wh3Jni1bthS97169ermyB28IPb0rAAAA0q6IhVuVHejsUVdccYVlypTJDTpobPjw4e6yWmB1oJiOeg+l3hKKFi3qLut/7N4TvOvePHHJmjWr6x8tdAAAAEDaF7Fw26hRI1uzZo2tXLkyOOgMUjq4zLus7p9mz54dvM2mTZtc11916tRx1/Vfywg9xerMmTNdWK1cuXJEHhcAAADSYc2t+ietUqVK2LicOXO6Pm298Q8++KB1797d8ufP7wLrY4895gLt1Vdf7aY3adLEhdh27drZoEGDXJ1t79693UFqap0FAABA+hLRA8rOZ+jQoe7sUzp5g3o4UE8Io0aNCk7PmDGjTZs2zR599FEXehWOO3ToYP369YvoegMAACAyogI6FVQ6l9BzFSclektApNFbApDGDYmK9BogvXsykCrzWsT7uQUAAACSCuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG9ENNyOHj3aqlWrZrlz53ZDnTp17Ntvvw1Or1+/vkVFRYUNnTp1ClvGjh07rEWLFpYjRw4rXLiw9ejRw06dOhWBRwMAAIBIyxTJO7/kkkvslVdesfLly1sgELD333/fbrnlFluxYoVddtllbp6OHTtav379grdRiPWcPn3aBduiRYvawoULbffu3da+fXvLnDmzvfzyyxF5TAAAAEin4bZly5Zh1wcMGOBacxcvXhwMtwqzCq9xmTFjhq1fv95mzZplRYoUsRo1alj//v2tZ8+e1qdPH8uSJUuctzt+/LgbPDExMUn6uAAAAJDOa27VCjtx4kQ7evSoK0/wjB8/3goWLGhVqlSxXr162d9//x2ctmjRIqtataoLtp6mTZu6sLpu3bp472vgwIGWJ0+e4BAdHZ2MjwwAAADpouVW1qxZ48LssWPHLFeuXDZ16lSrXLmym3bPPfdYyZIlrXjx4rZ69WrXIrtp0yabMmWKm75nz56wYCvedU2Lj0Jy9+7dg9cVhgm4AAAAaV/Ew+2ll15qK1eutMOHD9tnn31mHTp0sPnz57uA+/DDDwfnUwttsWLFrFGjRrZ161YrW7bsBd9n1qxZ3QAAAAB/iXhZgupiy5UrZzVr1nTlAtWrV7c33ngjznlr167t/m/ZssX9Vy3u3r17w+bxrsdXpwsAAAD/ini4je3MmTNhB3uFUguvqAVXVM6gsoZ9+/YF55k5c6brVswrbQAAAED6EdGyBNW+NmvWzEqUKGF//fWXTZgwwebNm2ffffedKz3Q9ebNm1uBAgVczW23bt3s+uuvd33jSpMmTVyIbdeunQ0aNMjV2fbu3ds6d+5M2QEAAEA6FNFwqxZX9Uur/mnVa4FCq4LtDTfcYDt37nRdfA0bNsz1oKADvlq3bu3Cqydjxow2bdo0e/TRR10rbs6cOV3Nbmi/uAAAAEg/Ihpux44dG+80hVkdWHY+6k3hm2++SeI1AwAAQFqU6mpuAQAAgAtFuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvRDTcjh492qpVq2a5c+d2Q506dezbb78NTj927Jh17tzZChQoYLly5bLWrVvb3r17w5axY8cOa9GiheXIkcMKFy5sPXr0sFOnTkXg0QAAACBdh9tLLrnEXnnlFVu2bJktXbrUGjZsaLfccoutW7fOTe/WrZt99dVXNmnSJJs/f77t2rXLbrvttuDtT58+7YLtiRMnbOHChfb+++/buHHj7IUXXojgowKApDVkyBCrX7++FStWzLJmzWolS5a0Dh062LZt24LzbN261e69916Ljo528xQsWNDq1atnX3zxRXCe++67z6KiouIdAMAPogKBQMBSkfz589vgwYPt9ttvt0KFCtmECRPcZdm4caNVqlTJFi1aZFdffbVr5b3ppptc6C1SpIibZ8yYMdazZ0/7448/LEuWLHHex/Hjx93giYmJcV8Ihw8fdi3IKaFp/69T5H6A+Hz3fAuenDSiVKlSbi/VpZde6j67tm/f7sYXLVrUNm3aZBdddJGVLVvWjVewrVy5srt86NAhF1pXrFhh1atXt/79+9vXX4d/9qxdu9aOHj3qlrV79+4IPUJckCH8IEGEPZmyEVJ5LU+ePOfNa6mm5latsBMnTnQfsipPUGvuyZMnrXHjxsF5KlasaCVKlHDhVvS/atWqwWArTZs2dQ/ea/2Ny8CBA92T4w0KtgCQWnXs2NF++eUX27Bhg2ut7dq1qxu/Z88emz17tv3+++/BwNu3b19bvny5TZkyxV1X+8XOnTvd5eeff94WL14cHDSPPmflsccei9jjA4CkFPFwu2bNGldPq9aGTp062dSpU12rgz601fKaN2/esPkVZDVN9D802HrTvWnx6dWrl0v93uB98ANAavTcc8+5H/ae6667LnhZn50qVyhXrpy7/uKLL9oVV1zhSrgyZcpkDzzwgDVr1izO5Q4fPtyVdeXMmdMeffTRFHgkAJD8MlmEaTfbypUrXcj87LPPXB2Z6muTk74MNABAWqO9XG+99Za7XKZMGWvUqJFlzJjR5s6da61atXJ7vVSGICrtUtDV9NiOHDli//3vf93lBx980PLly5fCjwQAfNpyq9ZZtTjUrFnTlQuoLuyNN95w9V9qUVDNWCj1lqBpov+xe0/wrnvzAIBfqGzr1ltvte+++859xumAW/1QP3PmjNvzpWD7xBNPuOCqA3F17EGXLl3s888/P2tZb7/9tvt8VfDVwbsA4BcRD7ex6UNaB0wo7GbOnNnVk3l04IQOqlBNrui/yhr27dsXnGfmzJmuyFilDQDgFyq1Uu8HCrQVKlSwBQsWBD/n9DnpHSimvV8qM9CBuN4BF7NmzQpblrpLHDZsmLt8xx13uAPWAMAvIlqWoNpX1YKpluyvv/5yPSPMmzfPtUroQC/tKuvevbvrQUEf0jrgQYFWPSVIkyZN3Id7u3btbNCgQe7Dv3fv3q5vXMoOAPiFDpBVt4e//vqrq7dVS6w+Fz0q6/KoW8XLL7/cfv75Z/e5Kgq7oT799FPXUCBPPfVUij0OAPB9uFWLa/v27V33MwqzOqGDgu0NN9zgpg8dOtQyZMjgTt6g1lz1hDBq1Kjg7bU7bdq0ae5ACIVefYCr1aJfv34RfFQAkLR0cJiCrSiwNm/ePDjtoYcecqUKqpn9888/XXmCDhRT7wnqKUF7wNq0aXNWv7nSoEEDt5cMAPwkouF27Nix55yeLVs2GzlypBvio87Mv/nmm2RYOwBIHUL75dYBuKFuvPFGdxZHlSkMGDDA/ve//9nmzZtd2FUZg/Zm1ahRIzj/nDlzXFdhQqstAD+KeG8JAIBzUx+356MT3Hz00UfnnU9ngkxl5+4BAH8fUAYAAABcKMItAAAAfINwCwAAAN+g5hZAqlT9tbsjvQpI51Y9NTHSqwDgAtByCwAAAN8g3AIAAMA3CLcAAADwDcItAAAAfINwCwAAAN8g3AIAACD9hludk3zNmjXB61988YW1atXKnn32WTtx4kRSrx8AAACQfOH2kUcesZ9//tld3rZtm919992WI0cOmzRpkj399NOJXRwAAAAQuXCrYFujRg13WYH2+uuvtwkTJti4ceNs8uTJSbdmAAAAQHKH20AgYGfOnHGXZ82aZc2bN3eXo6Ojbf/+/YldHAAAABC5cFurVi176aWX7MMPP7T58+dbixYt3Pjt27dbkSJFkm7NAAAAgOQOt8OGDXMHlXXp0sWee+45K1eunBv/2Wef2TXXXJPYxQEAAABJJlNib1CtWrWw3hI8gwcPtowZMybVegEAAAAp08/toUOH7J133rFevXrZwYMH3bj169fbvn37LmRxAAAAQGRablevXm2NGjWyvHnz2i+//GIdO3a0/Pnz25QpU2zHjh32wQcfJM2aAQAAAMndctu9e3e7//77bfPmzZYtW7bgePWa8P333yd2cQAAAEDkwu2SJUvciRxiu/jii23Pnj1JtV4AAABA8ofbrFmzWkxMTJwndyhUqFDi1wAAAACIVLi9+eabrV+/fnby5El3PSoqytXa9uzZ01q3bp1U6wUAAAAkf7gdMmSIHTlyxAoXLmz//POP1atXz/V1e9FFF9mAAQMSvwYAAABApHpLyJMnj82cOdN++OEH13OCgu4VV1xhjRs3Tqp1AgAAAFIm3HquvfZaNwAAAABpNtwOHz48zvGqvVXXYCpRuP766zlbGQAAAFJ/uB06dKj98ccf9vfff1u+fPncuD///NNy5MhhuXLlcmcpK1OmjM2dO9eio6OTY50BAACApDmg7OWXX7Yrr7zSncThwIEDblA3YLVr17Y33njD9ZxQtGhR69atW2IXDQAAAKRsy23v3r1t8uTJVrZs2eA4lSK89tprriuwbdu22aBBg+gWDAAAAKm/5Xb37t126tSps8ZrnHeGsuLFi9tff/2VNGsIAAAAJFe4bdCggTv97ooVK4LjdPnRRx+1hg0buutr1qyx0qVLJ3bRAAAAQMqG27Fjx1r+/PmtZs2a7lS8GmrVquXGaZrowDKd7AEAAABI1eFWB4vpJA7r16+3SZMmuUGXZ8yYYUWKFAm27jZp0uS8yxo4cKA7OE1nN9MZz1q1amWbNm0Km6d+/fqum7HQoVOnTmHz6CC2Fi1auB4btJwePXrEWToBAAAAf7vgkzhUrFjRDf/G/PnzrXPnzi7gKow+++yzLhQrLOfMmTM4X8eOHa1fv37B6wqxntOnT7tgq9C9cOFCVxPcvn17y5w5s+vZAQAAAOnHBYXb3377zb788kvXYnrixImwaa+//nqClzN9+vSw6+PGjXMtr8uWLXMngggNswqvcVGLscLwrFmzXMtxjRo1rH///tazZ0/r06ePZcmS5azbHD9+3A2emJiYBK8zAAAAfFSWMHv2bLv00ktt9OjRrq5WJ2t477337N1337WVK1f+q5U5fPiw+6/63VDjx4+3ggULWpUqVaxXr17uBBKeRYsWWdWqVYMlEdK0aVMXWNetWxdvOUSePHmCAyebAAAASKfhVuHyqaeecj0i6HS76vN2586dVq9ePbvjjjsueEXOnDljXbt2tbp167oQ67nnnnvso48+ciFa9/3hhx/avffeG5yu7sdCg614172uyeJ6DArS3qD1BwAAQDosS9iwYYN9/PHH/3fjTJnsn3/+cb0jqCb2lltucV2CXQjV3q5du9Z++OGHsPEPP/xw8LJaaIsVK2aNGjWyrVu3hp1IIjG8Xh4AAACQzltudaCXV2eroKmQ6dm/f/8FrUSXLl1s2rRprnX2kksuOee8Os2vbNmyxf1XLe7evXvD5vGux1enCwAAAH9KdLi9+uqrg62rzZs3tyeffNIGDBhgDzzwgJuWGIFAwAXbqVOn2pw5cxJ04gevrlfBWurUqeNKJPbt2xecR12V5c6d2ypXrpzIRwcAAIB0VZag3hCOHDniLvft29dd/uSTT6x8+fKJ6inBK0WYMGGCffHFF66vW69GVgd5Zc+e3bUKa7pCdIECBWz16tXWrVs315NCtWrV3LzqOkwhtl27djZo0CC3jN69e7tlU3oAAACQviQ63JYpUyasRGHMmDEXfOfqccE7UUMo9b5w3333uW681MXXsGHD7OjRo65Xg9atW7vw6smYMaMraVCtr1pxtU4dOnQI6xcXAAAA6cMFn8RB1GqrXg5CqRwgMWUJ56IwqxM9nE/JkiXtm2++SfD9AgAAwJ8SXXO7fft2d0YwtZCqfCBfvnxuyJs3r/sPAAAApJmWW/UxqxZXnbRB/clGRUUlz5oBAAAAyR1uV61a5U6Pq7OUAQAAAGm6LOHKK6/kjF4AAADwR8vtO++8Y506dbLff//dnSY3c+bMYdO9LroAAACAVB9u//jjD9f/7P333x8cp7pb1eHq/+nTp5N6HQEAAIDkCbc6E9nll19uH3/8MQeUAQAAIG2H219//dW+/PJLK1euXPKsEQAAAJBSB5Q1bNjQ9ZgAAAAApPmW25YtW1q3bt1szZo1VrVq1bMOKLv55puTcv0AAACA5Au36ilB+vXrd9Y0DigDAABAmgq3Z86cSZ41AQAAAFK65hYAAABIrRLUcjt8+HB7+OGHLVu2bO7yuTz++ONJtW4AAABA0ofboUOHWtu2bV241eX4qOaWcAsAAIBUHW63b98e52UAAAAgNaHmFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAOmrt4TVq1cneIHVqlX7N+sDAAAAJG+4rVGjhuvDNhAIuP/ncvr06QtfGwAAACC5yxLUt+22bdvc/8mTJ1vp0qVt1KhRtmLFCjfoctmyZd00AAAAIFW33JYsWTJ4+Y477nCn4G3evHlYKUJ0dLQ9//zz1qpVq+RZUwAAACCpDyhbs2aNa7mNTePWr1+f2MUBAAAAkQu3lSpVsoEDB9qJEyeC43RZ4zQNAAAASNVlCaHGjBljLVu2tEsuuSTYM4J6U9CBZl999VVyrCMAAACQPOH2qquucgeXjR8/3jZu3OjG3XXXXXbPPfdYzpw5E7s4AAAAIHLhVhRiH3744aRbCwAAACAJcIYyAAAA+AbhFgAAAL5BuAUAAIBvEG4BAACQvsPtoUOH7J133rFevXrZwYMH3bjly5fb77//nqjlqG/cK6+80i666CIrXLiwO7vZpk2bwuY5duyYde7c2QoUKGC5cuWy1q1b2969e8Pm2bFjh7Vo0cJy5MjhltOjRw87derUhTw0AAAApKdwqz5tK1SoYK+++qq99tprLujKlClTXNhNjPnz57vgunjxYps5c6adPHnSmjRpYkePHg3O061bN9d/7qRJk9z8u3btsttuuy04/fTp0y7Y6kQSCxcutPfff9/GjRtnL7zwQmIfGgAAANJbuO3evbvdd999tnnzZsuWLVtwfPPmze37779P1LKmT5/ulnXZZZdZ9erVXShVK+yyZcvc9MOHD9vYsWPt9ddft4YNG1rNmjXtvffecyFWgVhmzJjhTvv70UcfWY0aNaxZs2bWv39/GzlyZNhZ1AAAAOB/iQ63S5YssUceeeSs8RdffLHt2bPnX62Mwqzkz5/f/VfIVWtu48aNg/NUrFjRSpQoYYsWLXLX9b9q1apWpEiR4DxNmza1mJgYW7duXZz3c/z4cTc9dAAAAEA6DLdZs2aNMwz+/PPPVqhQoQtekTNnzljXrl2tbt26VqVKFTdOYTlLliyWN2/esHkVZL0grf+hwdab7k2Lr9Y3T548wSE6OvqC1xsAAABpONzefPPN1q9fP9eiKlFRUa6UoGfPnu5grwul2tu1a9faxIkTLbmpNlitxN6wc+fOZL9PAAAApMJwO2TIEDty5IjrleCff/6xevXqWbly5VyPBwMGDLiglejSpYtNmzbN5s6da5dccklwfNGiRV3drHfQmke9JWiaN0/s3hO86948cbU+586dO2wAAABA2pcpsTfQbnz1bLBgwQJbtWqVC7pXXHFFWF1sQgUCAXvsscds6tSpNm/ePCtdunTYdB1AljlzZps9e3awVVhdhamluE6dOu66/itU79u3zwVu0fopsFauXDnR6wQAAIB0Em5VipA9e3ZbuXKlq43V8G+oFGHChAn2xRdfuJZfr0ZWAVr3o/8PPvig66FBB5kpsCoMK9BeffXVbl51HaYQ265dOxs0aJBbRu/evd2y1UILAACA9CNR4VatqOqpQH3LJoXRo0e7//Xr1w8br+6+1EWYDB061DJkyOBabtXLgXpCGDVqVHDejBkzupKGRx991IXenDlzWocOHVxdMAAAANKXRJclPPfcc/bss8/ahx9+GOyy60KpLOF81Jeu+qzVEJ+SJUvaN99886/WBQAAAOkw3L755pu2ZcsWK168uAuVaikNpdPwAgAAAGki3LZq1Sp51gQAAABI6XD74osv/tv7BAAAAFJHuPUsXbrUNmzY4C6rtwJ12wUAAACkqXD722+/WZs2bVw/t95pcXWShWuuucadXSz0JAwAAABAqj5D2UMPPeT6u1Wr7cGDB92gy2fOnHHTAAAAgDTTcjt//nxbuHChXXrppcFxujxixAi77rrrknr9AAAAgORruY2OjnYtt7HpxA7qHgwAAABIM+F28ODB7hS4OqDMo8tPPPGEvfbaa0m9fgAAAEDSliXky5fPoqKigtePHj1qtWvXtkyZ/u/mp06dcpcfeOAB+sEFAABA6g63w4YNS/41AQAAAFIi3Hbo0OHf3g8AAACQek/isG/fPjeoC7BQ1apVS4r1AgAAAJI/3C5btsy15Kpv20AgEDZNdbnqNQEAAABIE+FWB41VqFDBxo4da0WKFAk70AwAAABIU+F227ZtNnnyZCtXrlzyrBEAAACQUv3cNmrUyFatWnWh9wcAAACknpbbd955x9Xcrl271qpUqWKZM2cOm37zzTcn5foBAAAAyRduFy1aZAsWLLBvv/32rGkcUAYAAIA0VZagU+/ee++9tnv3btcNWOhATwkAAABIU+H2wIED1q1bN9dTAgAAAJCmw+1tt91mc+fOTZ61AQAAAFKy5lZ93Pbq1ct++OEHq1q16lkHlD3++OP/Zn0AAACAlO0tIVeuXDZ//nw3xD6gjHALAACANBNut2/fnjxrAgAAAKR0zW2oQCDgBgAAACDNhtsPPvjA1dtmz57dDdWqVbMPP/ww6dcOAAAASM6yhNdff92ef/5569Kli9WtW9eN08FlnTp1sv3797tuwgAAAIA0EW5HjBhho0ePtvbt24edcveyyy6zPn36EG4BAACQdsoSdGaya6655qzxGqdpAAAAQJoJt+XKlbNPP/30rPGffPKJlS9fPqnWCwAAAEj+soS+ffvaXXfdZd9//32w5nbBggU2e/bsOEMvAAAAkGpbblu3bm0//vijFSxY0D7//HM36PJPP/1kt956a/KsJQAAAJAcLbdSs2ZN++ijjy7kpgAAAEDqPInDv6XShpYtW1rx4sXdqXvVChzqvvvuc+NDhxtvvDFsnoMHD1rbtm0td+7cljdvXnvwwQftyJEjKfxIAAAAkKbCbYYMGSxjxoznHDJlSlxD8NGjR6169eo2cuTIeOdRmFUvDN7w8ccfh01XsF23bp3NnDnTpk2b5gLzww8/nKj1AAAAgD8kOI1OnTo13mmLFi2y4cOH25kzZxJ1582aNXPDuWTNmtWKFi0a57QNGzbY9OnTbcmSJVarVq1gP7zNmze31157zbUIAwAAIP1IcLi95ZZbzhq3adMme+aZZ+yrr75yLaj9+vVL6vWzefPmWeHChS1fvnzWsGFDe+mll6xAgQLBUK1SBC/YSuPGjV0rsw56i+8At+PHj7vBExMTk+TrDQAAgDRSc7tr1y7r2LGjVa1a1U6dOmUrV660999/30qWLJmkK6eShA8++MB1M/bqq6/a/PnzXUvv6dOn3fQ9e/a44BtKpRH58+d30+IzcOBAy5MnT3CIjo5O0vUGAABAZCSqSPbw4cP28ssvu13/NWrUcKHzuuuuS7aVu/vuu4OXFaSrVatmZcuWda25jRo1uuDl9urVy7p37x7WckvABQAASEctt4MGDbIyZcq4g7Z0UNfChQuTNdjGRfevPnW3bNnirqsWd9++fWHzqCVZPSjEV6fr1fGqd4XQAQAAAOmo5Va1tdmzZ3en31UJgoa4TJkyxZLLb7/9ZgcOHLBixYq563Xq1LFDhw7ZsmXLXN+7MmfOHHdgW+3atZNtPQAAAJDGw2379u1dP7NJSf3Req2wsn37dle/q5pZDTrVr86IplbYrVu32tNPP+3CddOmTd38lSpVcnW5qv8dM2aMnTx50rp06eLKGegpAQAAIP1JcLgdN25ckt/50qVLrUGDBsHrXh1shw4dbPTo0bZ69WrXQqzWWYXVJk2aWP/+/V1ZgWf8+PEu0KoGV70kKAyrWzIAAACkPxd0+t2kUr9+fQsEAvFO/+677867DLXwTpgwIYnXDAAAAGlRRE+/CwAAACQlwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8I6Lh9vvvv7eWLVta8eLFLSoqyj7//POw6YFAwF544QUrVqyYZc+e3Ro3bmybN28Om+fgwYPWtm1by507t+XNm9cefPBBO3LkSAo/EgAAAFh6D7dHjx616tWr28iRI+OcPmjQIBs+fLiNGTPGfvzxR8uZM6c1bdrUjh07FpxHwXbdunU2c+ZMmzZtmgvMDz/8cAo+CgAAAKQWmSJ5582aNXNDXNRqO2zYMOvdu7fdcsstbtwHH3xgRYoUcS28d999t23YsMGmT59uS5YssVq1arl5RowYYc2bN7fXXnvNtQgDAAAg/Ui1Nbfbt2+3PXv2uFIET548eax27dq2aNEid13/VYrgBVvR/BkyZHAtvfE5fvy4xcTEhA0AAABI+1JtuFWwFbXUhtJ1b5r+Fy5cOGx6pkyZLH/+/MF54jJw4EAXlL0hOjo6WR4DAAAAUlaqDbfJqVevXnb48OHgsHPnzkivEgAAAPwcbosWLer+7927N2y8rnvT9H/fvn1h00+dOuV6UPDmiUvWrFld7wqhAwAAANK+VBtuS5cu7QLq7Nmzg+NUG6ta2jp16rjr+n/o0CFbtmxZcJ45c+bYmTNnXG0uAAAA0peI9pag/mi3bNkSdhDZypUrXc1siRIlrGvXrvbSSy9Z+fLlXdh9/vnnXQ8IrVq1cvNXqlTJbrzxRuvYsaPrLuzkyZPWpUsX15MCPSUAAACkPxENt0uXLrUGDRoEr3fv3t3979Chg40bN86efvpp1xeu+q1VC+21117ruv7Kli1b8Dbjx493gbZRo0aul4TWrVu7vnEBAACQ/kQ03NavX9/1ZxsfnbWsX79+boiPWnknTJiQTGsIAACAtCTV1twCAAAAiUW4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG8QbgEAAOAbhFsAAAD4BuEWAAAAvkG4BQAAgG+k6nDbp08fi4qKChsqVqwYnH7s2DHr3LmzFShQwHLlymWtW7e2vXv3RnSdAQAAEDmpOtzKZZddZrt37w4OP/zwQ3Bat27d7KuvvrJJkybZ/PnzbdeuXXbbbbdFdH0BAAAQOZkslcuUKZMVLVr0rPGHDx+2sWPH2oQJE6xhw4Zu3HvvvWeVKlWyxYsX29VXXx2BtQUAAEAkpfqW282bN1vx4sWtTJky1rZtW9uxY4cbv2zZMjt58qQ1btw4OK9KFkqUKGGLFi065zKPHz9uMTExYQMAAADSvlQdbmvXrm3jxo2z6dOn2+jRo2379u123XXX2V9//WV79uyxLFmyWN68ecNuU6RIETftXAYOHGh58uQJDtHR0cn8SAAAAGDpvSyhWbNmwcvVqlVzYbdkyZL26aefWvbs2S94ub169bLu3bsHr6vlloALAACQ9qXqltvY1EpboUIF27Jli6vDPXHihB06dChsHvWWEFeNbqisWbNa7ty5wwYAAACkfWkq3B45csS2bt1qxYoVs5o1a1rmzJlt9uzZwembNm1yNbl16tSJ6HoCAAAgMlJ1WcJTTz1lLVu2dKUI6ubrxRdftIwZM1qbNm1creyDDz7oygvy58/vWl8fe+wxF2zpKQEAACB9StXh9rfffnNB9sCBA1aoUCG79tprXTdfuixDhw61DBkyuJM3qAeEpk2b2qhRoyK92gAAAIiQVB1uJ06ceM7p2bJls5EjR7oBAAAASFM1twAAAMC5EG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG4RbAAAA+AbhFgAAAL5BuAUAAIBvEG4BAADgG74JtyNHjrRSpUpZtmzZrHbt2vbTTz9FepUAAACQwnwRbj/55BPr3r27vfjii7Z8+XKrXr26NW3a1Pbt2xfpVQMAAEAK8kW4ff31161jx452//33W+XKlW3MmDGWI0cOe/fddyO9agAAAEhBmSyNO3HihC1btsx69eoVHJchQwZr3LixLVq0KM7bHD9+3A2ew4cPu/8xMTGWUk4d+zvF7guIS0pu7xfi9LGTkV4FpHOp/T1ixyK9Akj3YmIi8p4MBAL+Drf79++306dPW5EiRcLG6/rGjRvjvM3AgQOtb9++Z42Pjo5OtvUEUps8L0d6DYDULc/zUyK9CkDq1jtPRO72r7/+sjx58vg33F4ItfKqRtdz5swZO3jwoBUoUMCioqIium5I2C83/RDZuXOn5c6dm6cM4H0CJBrfJWmPWmwVbIsXL37O+dJ8uC1YsKBlzJjR9u7dGzZe14sWLRrnbbJmzeqGUHnz5k3W9UTSU7Al3AK8TwC+S9KPPOdosfXNAWVZsmSxmjVr2uzZs8NaYnW9Tp06EV03AAAApKw033IrKjHo0KGD1apVy6666iobNmyYHT161PWeAAAAgPTDF+H2rrvusj/++MNeeOEF27Nnj9WoUcOmT59+1kFm8AeVlKhP49ilJQB4nwB8lyAqcL7+FAAAAIA0Is3X3AIAAAAewi0AAAB8g3ALAAAA3yDcAkAE1K9f37p27ZrqnvtffvnFncxm5cqVkV4VIMmMGzcuRfqzT6n7wbkRbgEAQTr73+7du61KlSo8K/AN9ar0888/R3o1kEJ80RUYACBp6IyP8Z3dEUirsmfP7gakD7TcIsWo7+Frr73W7bIpUKCA3XTTTbZ161Y3bd68eW5X6KFDh4Lza7eoxmk3qWfBggVud26OHDksX7581rRpU/vzzz/dtFKlSrkTeIRSn8d9+vQJXtfy3nnnHbv11lvdMsqXL29ffvllCjx64Gw6m+LTTz9t+fPnd4HS21bjKg3Qe0Pj9F4Jfc989913dvnll7sv7oYNG9q+ffvs22+/tUqVKrnTU99zzz32999/J+h9GNd9e/ejsz7qRDl631xzzTW2adMmXlKkmHNtt942O2XKFGvQoIHbRqtXr26LFi2Kt1xA7zV9P7z77rtWokQJy5Url/3nP/+x06dP26BBg9z7sXDhwjZgwICw9Xj99detatWqljNnTreXQ7c5cuQIW0IqQ7hFitFZ43Q2uaVLl7ovygwZMriQqS/4hNCXbaNGjaxy5cruQ+uHH36wli1bug+jxOjbt6/deeedtnr1amvevLm1bdvWDh48eIGPCrhw77//vvuS/PHHH90Xar9+/WzmzJmJWoa+pN98801buHCh7dy5023b+pE3YcIE+/rrr23GjBk2YsSIf/0+fO6552zIkCHudpkyZbIHHnjggh83kFgJ2W61jT711FPuu6JChQrWpk0bO3XqVLzLVDjWD0EF548//tjGjh1rLVq0sN9++83mz59vr776qvXu3du9Pz263+HDh9u6devc+3fOnDnuBypSGZ3EAYiEP/74QycQCaxZsyYwd+5cd/nPP/8MTl+xYoUbt337dne9TZs2gbp168a7vJIlSwaGDh0aNq569eqBF198MXhdy+vdu3fw+pEjR9y4b7/9NokfHXBu9erVC1x77bVh46688spAz5493Tav7VLvAY/eGxqn94p475lZs2YF5xk4cKAbt3Xr1uC4Rx55JNC0adMEvQ8l9n3HdT9ff/21G/fPP//wMiMiQrdbb5t95513gtPXrVvnxm3YsMFdf++99wJ58uQJTtf3Qo4cOQIxMTHBcXqflCpVKnD69OnguEsvvdS9r+IzadKkQIECBYLXY98PIoOWW6SYzZs3u1/SZcqUcbtLVUYgO3bsSFTL7b9VrVq14GW1mmldtCsXSGmh26IUK1Ys0dti6DJ0ynHtktV7LHRc6DIv9H0Yej9aT+F9g5SSkO02sduolnHRRReFvVe0Z1Cts6HjQpcxa9Ys9z108cUXu9u2a9fODhw4EFb6g8gj3CLFqIRAu//ffvttt5vH29Vz4sSJ4IdJ6NmgT548GXb78x0MoGXEPpt07GVI5syZw66rViuhpRFAUopvW0zI+yGuZej259u+z/U+TOi6apnC+wYpJSHbbWK30bjeK+d6/6i2V7W+CtGTJ0+2ZcuW2ciRI89aD0Qe4RYpQr9sdQCK6pf0q1cHu3gHgkmhQoXcf3VB5Indz6Y+UFRrFR8tI/T2MTExtn379iR+JEDyS8j7ITneh0BqlFq2W4VZBV3Vnl999dWurnfXrl0pvh44P7oCQ4pQzwY6wvWtt95yu4u0K+mZZ54JTi9Xrpw78lQHx+joVPVHqA+QUL169XJHqero1E6dOlmWLFls7ty5dscdd1jBggXdkeI6Ila/8HVU7AsvvOC6NQLSGu2l0JfnK6+8YqVLl3a7RfXFntzvQyA1Si3brb6ntAdFB2jqe0a994wZMybF1wPnR8stUoR2s06cONH98lXn8N26dbPBgwcHp2tXkI5W3bhxo2uh1VGqL730Utgy9CtZR36vWrXKrrrqKqtTp4598cUX7shtL/zWq1fP7TbSEa+tWrWysmXL8gojTVIXRTrSu2bNmu5MZrHfD8nxPgRSo9Sy3ap7MXUFpu8nrcf48eNt4MCBKb4eOL8oHVWWgPkAAACAVI+WWwAAAPgG4RYAAAC+QbgFAACAbxBuAQAA4BuEWwAAAPgG4RYAAAC+QbgFAACAbxBuAQAA4BuEWwBII6Kiouzzzz+P9GoAQKpGuAWAVGLPnj322GOPWZkyZSxr1qwWHR3tzmE/e/bsSK8aAKQZmSK9AgAAs19++cXq1q1refPmtcGDB1vVqlXt5MmT9t1331nnzp1t48aNPE0AkAC03AJAKvCf//zHlR389NNP1rp1a6tQoYJddtll1r17d1u8eHGct+nZs6ebL0eOHK619/nnn3eB2LNq1Spr0KCBXXTRRZY7d26rWbOmLV261E379ddfXatwvnz5LGfOnO6+vvnmm+Bt165da82aNbNcuXJZkSJFrF27drZ///4UeCYA4N8h3AJAhB08eNCmT5/uWmgVNGNTa25cFFrHjRtn69evtzfeeMPefvttGzp0aHB627Zt7ZJLLrElS5bYsmXL7JlnnrHMmTO7abqv48eP2/fff29r1qyxV1991QVZOXTokDVs2NAuv/xyF4a1bnv37rU777wz2Z4DAEgqlCUAQIRt2bLFAoGAVaxYMVG36927d/ByqVKl7KmnnrKJEyfa008/7cbt2LHDevToEVxu+fLlg/NrmlqIVf4gavn1vPnmmy7Yvvzyy8Fx7777rqsB/vnnn11rMQCkVoRbAIgwBdsL8cknn9jw4cNt69atduTIETt16pQrP/CopOGhhx6yDz/80Bo3bmx33HGHlS1b1k17/PHH7dFHH7UZM2a4aQq61apVC5YzzJ07N9iSG0r3RbgFkJpRlgAAEaYWVdXbJuagsUWLFrmyg+bNm9u0adNsxYoV9txzz9mJEyeC8/Tp08fWrVtnLVq0sDlz5ljlypVt6tSpbppC77Zt21wtrcoSatWqZSNGjHDTFJRVj7ty5cqwYfPmzXb99dcnwzMAAEknKnChTQYAgCSjg7cUMjdt2nRW3a1qYFV3qwCscNqqVSsbMmSIjRo1yrWkehRYP/vsMzd/XNq0aWNHjx61L7/88qxpvXr1sq+//tpWr17tQvLkyZPdQWWZMrGDD0DaQsstAKQCI0eOtNOnT9tVV13lgqVaSTds2ODKDurUqRNna6/qZlVjq4Cr+bxWWfnnn3+sS5cuNm/ePNczwoIFC9yBZZUqVXLTu3bt6roZ2759uy1fvtyVIXjTdLCZDnJTGNZttHzNe//997t1BIDUjHALAKmADuhSyFTXXU8++aRVqVLFbrjhBncCh9GjR581/80332zdunVzAbZGjRq2cOFC1xWYJ2PGjHbgwAFr3769q5FVTwdqHe7bt6+brpCqEKtAe+ONN7p51BIsxYsXd2FY8zRp0sQddKYwrNbjDBn42gCQulGWAAAAAN/gJzgAAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwDcItwAAAPANwi0AAAB8g3ALAAAA3yDcAgAAwPzi/wFQ+6odldhkXgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Statistiques du dataset :\n", + " Dimensions images : 64x64x3 = 12288 valeurs\n", + " Pixel min : 0.000\n", + " Pixel max : 1.000\n", + " Moyenne : 0.452\n", + " Ecart-type: 0.287\n" + ] + } + ], + "source": [ + "counts = [np.sum(y_train == i) for i in range(3)]\n", + "\n", + "plt.figure(figsize=(8, 5))\n", + "plt.bar(CLASSES, counts, color=[\"steelblue\", \"seagreen\", \"darkorange\"])\n", + "plt.title(\"Distribution des classes dans le dataset\")\n", + "plt.ylabel(\"Nombre d images\")\n", + "plt.xlabel(\"Classe\")\n", + "for i, v in enumerate(counts):\n", + " plt.text(i, v + 5, str(v), ha=\"center\", fontweight=\"bold\")\n", + "plt.show()\n", + "\n", + "print(\"\\nStatistiques du dataset :\")\n", + "print(f\" Dimensions images : 64x64x3 = {X_train.shape[1]} valeurs\")\n", + "print(f\" Pixel min : {X_train.min():.3f}\")\n", + "print(f\" Pixel max : {X_train.max():.3f}\")\n", + "print(f\" Moyenne : {X_train.mean():.3f}\")\n", + "print(f\" Ecart-type: {X_train.std():.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1823eb48-2b69-4192-a9fe-5860e1705083", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "DATASET_DIR_IMAGES = DATASET_TRAIN_DIR\n", + "\n", + "fig, axes = plt.subplots(3, 5, figsize=(15, 9))\n", + "fig.suptitle(\"Exemples d images par classe\", fontsize=14)\n", + "\n", + "for row, classe in enumerate(CLASSES):\n", + " dossier = os.path.join(DATASET_DIR_IMAGES, classe)\n", + " fichiers = os.listdir(dossier)[:5]\n", + " for col, fichier in enumerate(fichiers):\n", + " chemin = os.path.join(dossier, fichier)\n", + " try:\n", + " img = mpimg.imread(chemin)\n", + " axes[row, col].imshow(img)\n", + " axes[row, col].axis(\"off\")\n", + " if col == 0:\n", + " axes[row, col].set_title(classe, fontsize=12)\n", + " except:\n", + " axes[row, col].axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e1ffbcbe-e6d8-4dde-87c0-b2114e3312ed", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Preparation des donnees...\n", + "Entrainement du MLP...\n", + "Termine !\n" + ] + } + ], + "source": [ + "print(\"Preparation des donnees...\")\n", + "\n", + "inputs_train = [X_train[i].tolist() for i in range(len(X_train))]\n", + "inputs_test = [X_test[i].tolist() for i in range(len(X_test))]\n", + "\n", + "targets_train = []\n", + "for label in y_train:\n", + " target = [0.0, 0.0, 0.0]\n", + " target[int(label)] = 1.0\n", + " targets_train.append(target)\n", + "\n", + "print(\"Entrainement du MLP...\")\n", + "model = vision_ai.PyMLP([12288, 64, 3])\n", + "model.train(inputs_train, targets_train, 0.001, 5)\n", + "print(\"Termine !\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "aaa28a21-aec1-4585-ad7d-3706eb3373ac", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy sur le test : 33.9%\n", + "Correct : 93/274\n" + ] + } + ], + "source": [ + "predictions = [model.predict(x) for x in inputs_test]\n", + "y_pred = [pred.index(max(pred)) for pred in predictions]\n", + "\n", + "correct = sum(1 for p, t in zip(y_pred, y_test) if p == int(t))\n", + "accuracy = correct / len(y_test) * 100\n", + "\n", + "print(f\"Accuracy sur le test : {accuracy:.1f}%\")\n", + "print(f\"Correct : {correct}/{len(y_test)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bab587e7-2ed1-43df-8582-76f3085d41a3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.metrics import confusion_matrix\n", + "import numpy as np\n", + "\n", + "cm = confusion_matrix(y_test.astype(int), y_pred)\n", + "\n", + "fig, ax = plt.subplots(figsize=(7, 6))\n", + "im = ax.imshow(cm, cmap=\"Blues\")\n", + "\n", + "ax.set_xticks([0, 1, 2])\n", + "ax.set_yticks([0, 1, 2])\n", + "ax.set_xticklabels(CLASSES)\n", + "ax.set_yticklabels(CLASSES)\n", + "ax.set_xlabel(\"Prediction\")\n", + "ax.set_ylabel(\"Reel\")\n", + "ax.set_title(\"Matrice de confusion\")\n", + "\n", + "for i in range(3):\n", + " for j in range(3):\n", + " ax.text(j, i, str(cm[i, j]), ha=\"center\", va=\"center\", color=\"black\", fontsize=14)\n", + "\n", + "plt.colorbar(im)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "81127bb9-1047-4f4f-88ea-ee2480c39b40", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Analyse terminee !\n", + "\n", + "Resume :\n", + " Dataset : 1368 images au total\n", + " Train : 1094 images\n", + " Test : 274 images\n", + " Classes : aucun, humain, animal\n", + " Accuracy MLP (5 epoques) : 33.9%\n", + "\n", + "Note : augmenter les epoques ameliore les resultats.\n" + ] + } + ], + "source": [ + "print(\"Analyse terminee !\")\n", + "print(f\"\\nResume :\")\n", + "print(f\" Dataset : {len(X_train) + len(X_test)} images au total\")\n", + "print(f\" Train : {len(X_train)} images\")\n", + "print(f\" Test : {len(X_test)} images\")\n", + "print(f\" Classes : aucun, humain, animal\")\n", + "print(f\" Accuracy MLP (5 epoques) : {accuracy:.1f}%\")\n", + "print(f\"\\nNote : augmenter les epoques ameliore les resultats.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9767cfe1-c861-4deb-9bbe-6e43db3c0ecb", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/notebooks/iris.data b/notebooks/iris.data new file mode 100644 index 00000000..5c4316cd --- /dev/null +++ b/notebooks/iris.data @@ -0,0 +1,151 @@ +5.1,3.5,1.4,0.2,Iris-setosa +4.9,3.0,1.4,0.2,Iris-setosa +4.7,3.2,1.3,0.2,Iris-setosa +4.6,3.1,1.5,0.2,Iris-setosa +5.0,3.6,1.4,0.2,Iris-setosa +5.4,3.9,1.7,0.4,Iris-setosa +4.6,3.4,1.4,0.3,Iris-setosa +5.0,3.4,1.5,0.2,Iris-setosa +4.4,2.9,1.4,0.2,Iris-setosa +4.9,3.1,1.5,0.1,Iris-setosa +5.4,3.7,1.5,0.2,Iris-setosa +4.8,3.4,1.6,0.2,Iris-setosa +4.8,3.0,1.4,0.1,Iris-setosa +4.3,3.0,1.1,0.1,Iris-setosa +5.8,4.0,1.2,0.2,Iris-setosa 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+6.7,3.1,5.6,2.4,Iris-virginica +6.9,3.1,5.1,2.3,Iris-virginica +5.8,2.7,5.1,1.9,Iris-virginica +6.8,3.2,5.9,2.3,Iris-virginica +6.7,3.3,5.7,2.5,Iris-virginica +6.7,3.0,5.2,2.3,Iris-virginica +6.3,2.5,5.0,1.9,Iris-virginica +6.5,3.0,5.2,2.0,Iris-virginica +6.2,3.4,5.4,2.3,Iris-virginica +5.9,3.0,5.1,1.8,Iris-virginica + diff --git a/notebooks/test_linear.ipynb b/notebooks/test_linear.ipynb index e69de29b..0a1ad372 100644 --- a/notebooks/test_linear.ipynb +++ b/notebooks/test_linear.ipynb @@ -0,0 +1,380 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os, sys, subprocess\n", + "\n", + "IN_COLAB = os.path.exists('/content')\n", + "\n", + "if IN_COLAB:\n", + " BASE_DIR = '/content/VisionAI'\n", + " if not os.path.exists(BASE_DIR):\n", + " subprocess.run(\n", + " ['git', 'clone', '-b', 'ML',\n", + " 'https://github.com/SINCER-Ali/VisionAI.git', BASE_DIR],\n", + " check=True\n", + " )\n", + " try:\n", + " import vision_ai\n", + " except ImportError:\n", + " subprocess.run(['pip', 'install', 'maturin', '-q'], check=True)\n", + " subprocess.run(['maturin', 'develop', '--release'],\n", + " cwd=f'{BASE_DIR}/python_binding', check=True)\n", + "else:\n", + " BASE_DIR = r'C:\\VisionAI'\n", + "\n", + "BINDING_DIR = os.path.join(BASE_DIR, 'python_binding')\n", + "DATASET_DIR = os.path.join(BASE_DIR, 'datasets')\n", + "DATASET_TRAIN_DIR = os.path.join(DATASET_DIR, 'train')\n", + "sys.path.insert(0, BINDING_DIR)\n", + "\n", + "import vision_ai\n", + "print(f\"Environnement : {'Google Colab' if IN_COLAB else 'Local'}\")\n", + "print(f\"BASE_DIR : {BASE_DIR}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "eabb5f5e-fc9d-4a28-873e-02377f997f7c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prédiction: [0.3412381716610184, 0.30826382830359494, 0.3504980000353866]\n", + "Somme des probabilités: 1.0\n" + ] + } + ], + "source": [ + "model = vision_ai.PyMLP([4, 8, 3])\n", + "\n", + "input_test = [0.1, 0.2, 0.3, 0.4]\n", + "result = model.predict(input_test)\n", + "print(\"Prédiction:\", result)\n", + "print(\"Somme des probabilités:\", sum(result))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "deb0989d-7794-4a1c-a387-634003899bf3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Entrainement termine !\n", + "Input [0.1, 0.2] -> Prediction: [0.55, 0.265, 0.184]\n", + "Input [0.4, 0.5] -> Prediction: [0.441, 0.26, 0.299]\n", + "Input [0.8, 0.9] -> Prediction: [0.286, 0.219, 0.495]\n", + "Input [0.2, 0.3] -> Prediction: [0.516, 0.266, 0.219]\n" + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "model = vision_ai.PyMLP([2, 8, 3])\n", + "\n", + "inputs = [[0.1, 0.2], [0.4, 0.5], [0.8, 0.9], [0.2, 0.3]]\n", + "targets = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [1.0, 0.0, 0.0]]\n", + "\n", + "model.train(inputs, targets, 0.01, 200)\n", + "\n", + "print(\"Entrainement termine !\")\n", + "for i, inp in enumerate(inputs):\n", + " pred = model.predict(inp)\n", + " print(f\"Input {inp} -> Prediction: {[round(p, 3) for p in pred]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9d4b0987-ee31-4708-ae22-759ab530302d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoque 1/10 - Loss: 1.0537\n", + "Epoque 2/10 - Loss: 0.9164\n", + "Epoque 3/10 - Loss: 0.6873\n", + "Epoque 4/10 - Loss: 0.7143\n", + "Epoque 5/10 - Loss: 0.7142\n", + "Epoque 6/10 - Loss: 0.7143\n", + "Epoque 7/10 - Loss: 0.8818\n", + "Epoque 8/10 - Loss: 0.9028\n", + "Epoque 9/10 - Loss: 0.7143\n", + "Epoque 10/10 - Loss: 0.7143\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "X_train = np.load(os.path.join(DATASET_DIR, \"X_train.npy\"))\n", + "y_train = np.load(os.path.join(DATASET_DIR, \"y_train.npy\"))\n", + "X_test = np.load(os.path.join(DATASET_DIR, \"X_test.npy\"))\n", + "y_test = np.load(os.path.join(DATASET_DIR, \"y_test.npy\"))\n", + "\n", + "CLASSES = [\"aucun\", \"humain\", \"animal\"]\n", + "\n", + "inputs_train = [X_train[i].tolist() for i in range(len(X_train))]\n", + "targets_train = []\n", + "for label in y_train:\n", + " t = [0.0, 0.0, 0.0]\n", + " t[int(label)] = 1.0\n", + " targets_train.append(t)\n", + "\n", + "losses = []\n", + "model = vision_ai.PyMLP([12288, 64, 3])\n", + "\n", + "for epoch in range(10):\n", + " model.train(inputs_train, targets_train, 0.001, 1)\n", + " preds = [model.predict(x) for x in inputs_train]\n", + " loss = sum(\n", + " sum((p - t)**2 for p, t in zip(pred, target))\n", + " for pred, target in zip(preds, targets_train)\n", + " ) / len(inputs_train)\n", + " losses.append(loss)\n", + " print(f\"Epoque {epoch+1}/10 - Loss: {loss:.4f}\")\n", + "\n", + "plt.figure(figsize=(8, 4))\n", + "plt.plot(range(1, 11), losses, marker='o', color='blue')\n", + "plt.title(\"Courbe de loss - MLP\")\n", + "plt.xlabel(\"Epoque\")\n", + "plt.ylabel(\"Loss\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "87874cab-9b4a-4ba3-a7ff-cb2bf7142a8a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy : 70.2%\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.metrics import confusion_matrix\n", + "\n", + "inputs_test = [X_test[i].tolist() for i in range(len(X_test))]\n", + "predictions = [model.predict(x) for x in inputs_test]\n", + "y_pred = [pred.index(max(pred)) for pred in predictions]\n", + "\n", + "correct = sum(1 for p, t in zip(y_pred, y_test) if p == int(t))\n", + "accuracy = correct / len(y_test) * 100\n", + "print(f\"Accuracy : {accuracy:.1f}%\")\n", + "\n", + "cm = confusion_matrix(y_test.astype(int), y_pred)\n", + "\n", + "fig, ax = plt.subplots(figsize=(7, 6))\n", + "im = ax.imshow(cm, cmap=\"Blues\")\n", + "ax.set_xticks([0, 1, 2])\n", + "ax.set_yticks([0, 1, 2])\n", + "ax.set_xticklabels(CLASSES)\n", + "ax.set_yticklabels(CLASSES)\n", + "ax.set_xlabel(\"Prediction\")\n", + "ax.set_ylabel(\"Reel\")\n", + "ax.set_title(\"Matrice de confusion - MLP\")\n", + "\n", + "for i in range(3):\n", + " for j in range(3):\n", + " ax.text(j, i, str(cm[i, j]), ha=\"center\", va=\"center\", color=\"black\", fontsize=14)\n", + "\n", + "plt.colorbar(im)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8439463a-e353-4c8c-8e2b-7fe47232f01c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Re-entrainement avec plus d'epoques...\n", + "Termine !\n", + "Accuracy avec 50 epoques : 70.2%\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Re-entrainement avec plus d'epoques...\")\n", + "model2 = vision_ai.PyMLP([12288, 64, 3])\n", + "model2.train(inputs_train, targets_train, 0.001, 50)\n", + "print(\"Termine !\")\n", + "\n", + "predictions2 = [model2.predict(x) for x in inputs_test]\n", + "y_pred2 = [pred.index(max(pred)) for pred in predictions2]\n", + "\n", + "correct2 = sum(1 for p, t in zip(y_pred2, y_test) if p == int(t))\n", + "accuracy2 = correct2 / len(y_test) * 100\n", + "print(f\"Accuracy avec 50 epoques : {accuracy2:.1f}%\")\n", + "\n", + "cm2 = confusion_matrix(y_test.astype(int), y_pred2)\n", + "\n", + "fig, ax = plt.subplots(figsize=(7, 6))\n", + "im = ax.imshow(cm2, cmap=\"Blues\")\n", + "ax.set_xticks([0, 1, 2])\n", + "ax.set_yticks([0, 1, 2])\n", + "ax.set_xticklabels(CLASSES)\n", + "ax.set_yticklabels(CLASSES)\n", + "ax.set_xlabel(\"Prediction\")\n", + "ax.set_ylabel(\"Reel\")\n", + "ax.set_title(\"Matrice de confusion - MLP 50 epoques\")\n", + "\n", + "for i in range(3):\n", + " for j in range(3):\n", + " ax.text(j, i, str(cm2[i, j]), ha=\"center\", va=\"center\", color=\"black\", fontsize=14)\n", + "\n", + "plt.colorbar(im)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "1a4266a1-f1cb-4408-939f-83a29c832e9c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparaison de differents learning rates...\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Comparaison de differents learning rates...\")\n", + "\n", + "learning_rates = [0.1, 0.01, 0.001]\n", + "colors = ['red', 'green', 'blue']\n", + "all_losses = []\n", + "\n", + "for lr in learning_rates:\n", + " m = vision_ai.PyMLP([12288, 64, 3])\n", + " lr_losses = []\n", + " for epoch in range(10):\n", + " m.train(inputs_train, targets_train, lr, 1)\n", + " preds = [m.predict(x) for x in inputs_train]\n", + " loss = sum(\n", + " sum((p - t)**2 for p, t in zip(pred, target))\n", + " for pred, target in zip(preds, targets_train)\n", + " ) / len(inputs_train)\n", + " lr_losses.append(loss)\n", + " all_losses.append(lr_losses)\n", + "\n", + "plt.figure(figsize=(10, 5))\n", + "for i, lr in enumerate(learning_rates):\n", + " plt.plot(range(1, 11), all_losses[i], marker='o', color=colors[i], label=f'lr={lr}')\n", + "plt.title(\"Impact du learning rate sur la convergence\")\n", + "plt.xlabel(\"Epoque\")\n", + "plt.ylabel(\"Loss\")\n", + "plt.legend()\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8cff18a6-3a46-488c-ba5a-e3ac8279b209", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30cd3eca-33c5-4c9d-80ab-775dd3eea145", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/preprocess_dataset.py b/preprocess_dataset.py new file mode 100644 index 00000000..16d53371 --- /dev/null +++ b/preprocess_dataset.py @@ -0,0 +1,47 @@ +import os +import numpy as np +from PIL import Image +from sklearn.model_selection import train_test_split + +IMG_SIZE = 64 +DATASET_DIR = "datasets/train" +OUTPUT_DIR = "datasets" + +CLASSES = {"aucun": 0, "humain": 1, "animal": 2} + +images = [] +labels = [] + +print("Chargement des images...") + +for classe, label in CLASSES.items(): + dossier = os.path.join(DATASET_DIR, classe) + fichiers = os.listdir(dossier)[:500] + print(f" {classe} : {len(fichiers)} images") + + for fichier in fichiers: + chemin = os.path.join(dossier, fichier) + try: + img = Image.open(chemin).convert("RGB") + img = img.resize((IMG_SIZE, IMG_SIZE)) + vecteur = np.array(img).flatten() / 255.0 + images.append(vecteur) + labels.append(label) + except: + pass + +X = np.array(images) +y = np.array(labels) + +print(f"\nTotal images : {len(X)}") + +X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) + +np.save(os.path.join(OUTPUT_DIR, "X_train.npy"), X_train) +np.save(os.path.join(OUTPUT_DIR, "X_test.npy"), X_test) +np.save(os.path.join(OUTPUT_DIR, "y_train.npy"), y_train) +np.save(os.path.join(OUTPUT_DIR, "y_test.npy"), y_test) + +print(f"Train : {len(X_train)} images") +print(f"Test : {len(X_test)} images") +print("Fichiers .npy sauvegardes !") \ No newline at end of file diff --git a/python_binding/Cargo.toml b/python_binding/Cargo.toml index 7b02ce55..9f61d075 100644 --- a/python_binding/Cargo.toml +++ b/python_binding/Cargo.toml @@ -1,6 +1,12 @@ [package] -name = "python_binding" +name = "vision_ai" version = "0.1.0" edition = "2024" +[lib] +name = "vision_ai" +crate-type = ["cdylib"] + [dependencies] +pyo3 = { version = "0.23", features = ["extension-module"] } +core_lib = { path = "../core_lib" } \ No newline at end of file diff --git a/python_binding/pyproject.toml b/python_binding/pyproject.toml index e69de29b..6be502d2 100644 --- a/python_binding/pyproject.toml +++ b/python_binding/pyproject.toml @@ -0,0 +1,12 @@ +[build-system] +requires = ["maturin>=1.0,<2.0"] +build-backend = "maturin" + +[project] +name = "vision_ai" +version = "0.1.0" +requires-python = ">=3.8" + +[tool.maturin] +features = ["pyo3/extension-module"] +module-name = "vision_ai" \ No newline at end of file diff --git a/python_binding/src/lib.rs b/python_binding/src/lib.rs index b93cf3ff..b0862474 100644 --- a/python_binding/src/lib.rs +++ b/python_binding/src/lib.rs @@ -1,14 +1,357 @@ -pub fn add(left: u64, right: u64) -> u64 { - left + right +use core_lib::math::matrix::Matrix as CoreMatrix; +use core_lib::math::vector::Vector as CoreVector; +use core_lib::models::linear::LinearModel; +use core_lib::models::mlp::MLP; +use core_lib::models::{Model, TrainConfig}; +use core_lib::optim::gradient_descent::GradientDescentConfig; +use pyo3::prelude::*; +use pyo3::types::PyDict; +use std::fs; + +#[pyclass] +struct PyVector { + inner: CoreVector, +} + +#[pymethods] +impl PyVector { + #[new] + fn new(data: Vec) -> Self { + Self { + inner: CoreVector::from_vec(data), + } + } + + #[staticmethod] + fn zeros(len: usize) -> Self { + Self { + inner: CoreVector::new(len), + } + } + + fn to_list(&self) -> Vec { + self.inner.data.clone() + } + + fn len(&self) -> usize { + self.inner.len + } + + fn sum(&self) -> f64 { + self.inner.sum() + } + + fn mean(&self) -> PyResult { + if self.inner.len == 0 { + Err(pyo3::exceptions::PyValueError::new_err("empty vector")) + } else { + Ok(self.inner.mean()) + } + } + + fn dot(&self, other: &PyVector) -> PyResult { + if self.inner.len != other.inner.len { + return Err(pyo3::exceptions::PyValueError::new_err( + "dimension mismatch", + )); + } + Ok(self.inner.dot(&other.inner)) + } + + fn add(&self, other: &PyVector) -> PyResult { + if self.inner.len != other.inner.len { + return Err(pyo3::exceptions::PyValueError::new_err( + "dimension mismatch", + )); + } + Ok(PyVector { + inner: self.inner.add(&other.inner), + }) + } + + fn sub(&self, other: &PyVector) -> PyResult { + if self.inner.len != other.inner.len { + return Err(pyo3::exceptions::PyValueError::new_err( + "dimension mismatch", + )); + } + Ok(PyVector { + inner: self.inner.sub(&other.inner), + }) + } + + fn scale(&self, alpha: f64) -> PyVector { + PyVector { + inner: self.inner.scale(alpha), + } + } +} + +#[pyclass] +struct PyMatrix { + inner: CoreMatrix, +} + +#[pymethods] +impl PyMatrix { + #[new] + #[pyo3(signature = (rows, cols, data=None))] + fn new(rows: usize, cols: usize, data: Option>) -> PyResult { + let inner = if let Some(data) = data { + if data.len() != rows * cols { + return Err(pyo3::exceptions::PyValueError::new_err( + "invalid matrix size", + )); + } + CoreMatrix::from_flat(rows, cols, data) + } else { + CoreMatrix::new(rows, cols) + }; + Ok(Self { inner }) + } + + fn rows(&self) -> usize { + self.inner.rows + } + + fn cols(&self) -> usize { + self.inner.cols + } + + fn to_list(&self) -> Vec> { + let mut out = Vec::with_capacity(self.inner.rows); + for r in 0..self.inner.rows { + let start = r * self.inner.cols; + let end = start + self.inner.cols; + out.push(self.inner.data[start..end].to_vec()); + } + out + } + + fn transpose(&self) -> PyMatrix { + PyMatrix { + inner: self.inner.transpose(), + } + } +} + +#[pyclass] +struct LinearRegression { + model: LinearModel, } -#[cfg(test)] -mod tests { - use super::*; +#[pymethods] +impl LinearRegression { + #[new] + fn new(input_size: usize) -> Self { + Self { + model: LinearModel::new(input_size), + } + } + + fn predict(&self, input: Vec) -> PyResult> { + Ok(self.model.predict(&input)) + } + + fn train( + &mut self, + x: Vec>, + y: Vec>, + epochs: usize, + lr: f64, + ) -> PyResult<()> { + let cfg = TrainConfig { + learning_rate: lr, + epochs, + }; + self.model.train(&x, &y, &cfg); + Ok(()) + } +} + +#[pyclass] +struct PyMLP { + model: MLP, +} + +#[pymethods] +impl PyMLP { + #[new] + fn new(layer_sizes: Vec) -> Self { + Self { + model: MLP::new(&layer_sizes), + } + } + + fn predict(&self, input: Vec) -> Vec { + let v = CoreVector::from_vec(input); + self.model.predict(&v).data + } + + fn train( + &mut self, + inputs: Vec>, + targets: Vec>, + learning_rate: f64, + epochs: usize, + ) { + let inputs: Vec = inputs.into_iter().map(CoreVector::from_vec).collect(); + let targets: Vec = targets.into_iter().map(CoreVector::from_vec).collect(); + let cfg = GradientDescentConfig { + lr: learning_rate, + epochs, + }; + self.model.train(&inputs, &targets, cfg); + } + + fn save_json(&self, path: String) -> PyResult<()> { + self.model + .save_json(&path) + .map_err(|e| pyo3::exceptions::PyIOError::new_err(e.to_string())) + } + + #[staticmethod] + fn load_json(path: String) -> PyResult { + let model = MLP::load_json(&path) + .map_err(|e| pyo3::exceptions::PyIOError::new_err(e.to_string()))?; + Ok(PyMLP { model }) + } +} - #[test] - fn it_works() { - let result = add(2, 2); - assert_eq!(result, 4); +#[pyfunction] +#[pyo3(signature = (model_type, params=None))] +fn create_model( + py: Python<'_>, + model_type: &str, + params: Option<&Bound<'_, PyDict>>, +) -> PyResult> { + match model_type { + "linear" | "linear_regression" => { + let params = + params.ok_or_else(|| pyo3::exceptions::PyValueError::new_err("missing params"))?; + let input_size: usize = params + .get_item("input_size")? + .ok_or_else(|| pyo3::exceptions::PyKeyError::new_err("input_size"))? + .extract()?; + Ok(Py::new(py, LinearRegression::new(input_size))?.into_any()) + } + "mlp" => { + let params = + params.ok_or_else(|| pyo3::exceptions::PyValueError::new_err("missing params"))?; + let layer_sizes: Vec = params + .get_item("layer_sizes")? + .ok_or_else(|| pyo3::exceptions::PyKeyError::new_err("layer_sizes"))? + .extract()?; + Ok(Py::new(py, PyMLP::new(layer_sizes))?.into_any()) + } + _ => Err(pyo3::exceptions::PyValueError::new_err( + "unknown model_type", + )), } } + +#[pyfunction] +fn train( + model: &Bound<'_, PyAny>, + x: Vec>, + y: Vec>, + epochs: usize, + lr: f64, +) -> PyResult<()> { + if let Ok(mut m) = model.extract::>() { + m.train(x, y, epochs, lr) + } else if let Ok(mut m) = model.extract::>() { + m.train(x, y, lr, epochs); + Ok(()) + } else { + Err(pyo3::exceptions::PyTypeError::new_err("unsupported model")) + } +} + +#[pyfunction] +fn predict(model: &Bound<'_, PyAny>, x: Vec) -> PyResult> { + if let Ok(m) = model.extract::>() { + m.predict(x) + } else if let Ok(m) = model.extract::>() { + Ok(m.predict(x)) + } else { + Err(pyo3::exceptions::PyTypeError::new_err("unsupported model")) + } +} + +#[pyfunction] +fn save(model: &Bound<'_, PyAny>, path: String) -> PyResult<()> { + if let Ok(m) = model.extract::>() { + let content = format!( + "LinearRegression\ninput_size={}\nweights={:?}\nbias={}\n", + m.model.input_size, m.model.weights, m.model.bias + ); + fs::write(path, content).map_err(|e| pyo3::exceptions::PyIOError::new_err(e.to_string())) + } else { + Err(pyo3::exceptions::PyTypeError::new_err( + "save is implemented only for LinearRegression", + )) + } +} + +#[pyfunction] +fn load(py: Python<'_>, path: String) -> PyResult> { + let content = fs::read_to_string(path) + .map_err(|e| pyo3::exceptions::PyIOError::new_err(e.to_string()))?; + + let mut input_size: Option = None; + let mut weights: Option> = None; + let mut bias: Option = None; + + for line in content.lines() { + if let Some(v) = line.strip_prefix("input_size=") { + input_size = Some( + v.parse() + .map_err(|_| pyo3::exceptions::PyValueError::new_err("invalid input_size"))?, + ); + } else if let Some(v) = line.strip_prefix("weights=") { + let cleaned = v.trim().trim_start_matches('[').trim_end_matches(']'); + let parsed = if cleaned.is_empty() { + Vec::new() + } else { + cleaned + .split(',') + .map(|s| s.trim().parse::()) + .collect::, _>>() + .map_err(|_| pyo3::exceptions::PyValueError::new_err("invalid weights"))? + }; + weights = Some(parsed); + } else if let Some(v) = line.strip_prefix("bias=") { + bias = Some( + v.parse() + .map_err(|_| pyo3::exceptions::PyValueError::new_err("invalid bias"))?, + ); + } + } + + let model = LinearRegression { + model: LinearModel { + input_size: input_size + .ok_or_else(|| pyo3::exceptions::PyValueError::new_err("missing input_size"))?, + weights: weights + .ok_or_else(|| pyo3::exceptions::PyValueError::new_err("missing weights"))?, + bias: bias.ok_or_else(|| pyo3::exceptions::PyValueError::new_err("missing bias"))?, + }, + }; + + Ok(Py::new(py, model)?.into_any()) +} + +#[pymodule] +fn vision_ai(m: &Bound<'_, PyModule>) -> PyResult<()> { + m.add_class::()?; + m.add_class::()?; + m.add_class::()?; + m.add_class::()?; + m.add_function(wrap_pyfunction!(create_model, m)?)?; + m.add_function(wrap_pyfunction!(train, m)?)?; + m.add_function(wrap_pyfunction!(predict, m)?)?; + m.add_function(wrap_pyfunction!(save, m)?)?; + m.add_function(wrap_pyfunction!(load, m)?)?; + Ok(()) +} diff --git a/python_binding/tests/test_basic.py b/python_binding/tests/test_basic.py new file mode 100644 index 00000000..81f8590f --- /dev/null +++ b/python_binding/tests/test_basic.py @@ -0,0 +1,88 @@ +import numpy as np +import visionai + +def test_import(): + assert visionai is not None + + +def test_vector_basic(): + v = visionai.PyVector([1.0, 2.0, 3.0]) + assert v.len() == 3 + assert v.to_list() == [1.0, 2.0, 3.0] + assert v.sum() == 6.0 + assert v.mean() == 2.0 + + +def test_matrix_basic(): + m = visionai.PyMatrix(2, 2, [1.0, 2.0, 3.0, 4.0]) + assert m.rows() == 2 + assert m.cols() == 2 + assert m.to_list() == [[1.0, 2.0], [3.0, 4.0]] + + t = m.transpose() + assert t.rows() == 2 + assert t.cols() == 2 + assert t.to_list() == [[1.0, 3.0], [2.0, 4.0]] + + +def test_linear_regression_train_predict(): + model = visionai.create_model("linear_regression", {"input_size": 2}) + x = [[1.0, 2.0], [2.0, 3.0], [3.0, 4.0]] + y = [[5.0], [8.0], [11.0]] + + visionai.train(model, x, y, epochs=200, lr=0.01) + pred = visionai.predict(model, [4.0, 5.0]) + + assert isinstance(pred, list) + assert len(pred) == 1 + + +def test_mlp_train_predict_xor(): + model = visionai.create_model("mlp", {"layer_sizes": [2, 4, 2]}) + + x = [ + [0.0, 0.0], + [0.0, 1.0], + [1.0, 0.0], + [1.0, 1.0], + ] + y = [ + [1.0, 0.0], + [0.0, 1.0], + [0.0, 1.0], + [1.0, 0.0], + ] + + visionai.train(model, x, y, epochs=50, lr=0.01) + pred = visionai.predict(model, [0.0, 1.0]) + + assert isinstance(pred, list) + assert len(pred) == 2 + + +def test_save_and_load_linear_regression(tmp_path): + model = visionai.LinearRegression(2) + visionai.train(model, [[1.0, 2.0]], [[5.0]], epochs=10, lr=0.01) + + file_path = tmp_path / "linear_model.txt" + visionai.save(model, str(file_path)) + + loaded = visionai.load(str(file_path)) + pred = visionai.predict(loaded, [1.0, 2.0]) + + assert isinstance(pred, list) + assert len(pred) == 1 + + +def test_numpy_conversion_vector(): + arr = np.array([1.0, 2.0, 3.0], dtype=np.float64) + v = visionai.PyVector(arr.tolist()) + assert v.to_list() == [1.0, 2.0, 3.0] + + +def test_numpy_conversion_matrix(): + arr = np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float64) + m = visionai.PyMatrix(2, 2, arr.flatten().tolist()) + assert m.rows() == 2 + assert m.cols() == 2 + assert m.to_list() == [[1.0, 2.0], [3.0, 4.0]] \ No newline at end of file diff --git a/target/.rustc_info.json b/target/.rustc_info.json deleted file mode 100644 index afed1d63..00000000 --- a/target/.rustc_info.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc_fingerprint":12637339898469814488,"outputs":{"17747080675513052775":{"success":true,"status":"","code":0,"stdout":"rustc 1.93.0 (254b59607 2026-01-19)\nbinary: rustc\ncommit-hash: 254b59607d4417e9dffbc307138ae5c86280fe4c\ncommit-date: 2026-01-19\nhost: x86_64-pc-windows-msvc\nrelease: 1.93.0\nLLVM version: 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diff --git a/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/invoked.timestamp b/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/lib-cfg_if b/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/lib-cfg_if deleted file mode 100644 index c1578830..00000000 --- a/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/lib-cfg_if +++ /dev/null @@ -1 +0,0 @@ -c5a76778652de326 \ No newline at end of file diff --git a/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/lib-cfg_if.json b/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/lib-cfg_if.json deleted file mode 100644 index 37197c32..00000000 --- a/target/debug/.fingerprint/cfg-if-f35af99d81ed8f2e/lib-cfg_if.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[\"core\", \"rustc-dep-of-std\"]","target":13840298032947503755,"profile":2241668132362809309,"path":11426833872636167876,"deps":[],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\cfg-if-f35af99d81ed8f2e\\dep-lib-cfg_if","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/dep-lib-core_lib b/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/dep-lib-core_lib deleted file mode 100644 index fe46d48e..00000000 Binary files a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/dep-lib-core_lib and /dev/null differ diff --git a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/invoked.timestamp b/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/lib-core_lib b/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/lib-core_lib deleted file mode 100644 index 94cb48b5..00000000 --- a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/lib-core_lib +++ /dev/null @@ -1 +0,0 @@ -9cf6212a1f3f484a \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/lib-core_lib.json b/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/lib-core_lib.json deleted file mode 100644 index e8a6a817..00000000 --- a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/lib-core_lib.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[]","target":4530027578813610362,"profile":17672942494452627365,"path":5446614433701356091,"deps":[[13208667028893622512,"rand",false,8676580651467344696]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\core_lib-40ffefc510b60f4d\\dep-lib-core_lib","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/output-lib-core_lib b/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/output-lib-core_lib deleted file mode 100644 index 75e6707f..00000000 --- a/target/debug/.fingerprint/core_lib-40ffefc510b60f4d/output-lib-core_lib +++ /dev/null @@ -1,3 +0,0 @@ -{"$message_type":"diagnostic","message":"struct `LinearRegression` is never constructed","code":{"code":"dead_code","explanation":null},"level":"warning","spans":[{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":166,"byte_end":182,"line_start":6,"line_end":6,"column_start":12,"column_end":28,"is_primary":true,"text":[{"text":"pub struct LinearRegression {","highlight_start":12,"highlight_end":28}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[{"message":"`#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default","code":null,"level":"note","spans":[],"children":[],"rendered":null}],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: struct `LinearRegression` is never constructed\u001b[0m\n \u001b[1m\u001b[96m--> \u001b[0mcore_lib\\src\\models\\linear.rs:6:12\n \u001b[1m\u001b[96m|\u001b[0m\n\u001b[1m\u001b[96m6\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub struct LinearRegression {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^^^^^^^^^^^^^^\u001b[0m\n \u001b[1m\u001b[96m|\u001b[0m\n \u001b[1m\u001b[96m= \u001b[0m\u001b[1m\u001b[97mnote\u001b[0m: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default\n\n"} -{"$message_type":"diagnostic","message":"associated items `new`, `predict`, `mse_loss`, and `fit` are never used","code":{"code":"dead_code","explanation":null},"level":"warning","spans":[{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":228,"byte_end":249,"line_start":11,"line_end":11,"column_start":1,"column_end":22,"is_primary":false,"text":[{"text":"impl LinearRegression {","highlight_start":1,"highlight_end":22}],"label":"associated items in this implementation","suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":264,"byte_end":267,"line_start":12,"line_end":12,"column_start":12,"column_end":15,"is_primary":true,"text":[{"text":" pub fn new(n_features: usize) -> Self {","highlight_start":12,"highlight_end":15}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":407,"byte_end":414,"line_start":19,"line_end":19,"column_start":12,"column_end":19,"is_primary":true,"text":[{"text":" pub fn predict(&self, x: &Matrix) -> Vector {","highlight_start":12,"highlight_end":19}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":810,"byte_end":818,"line_start":33,"line_end":33,"column_start":12,"column_end":20,"is_primary":true,"text":[{"text":" pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 {","highlight_start":12,"highlight_end":20}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":1128,"byte_end":1131,"line_start":44,"line_end":44,"column_start":12,"column_end":15,"is_primary":true,"text":[{"text":" pub fn fit(&mut self, x: &Matrix, y: &Vector, cfg: GradientDescentConfig) {","highlight_start":12,"highlight_end":15}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: associated items `new`, `predict`, `mse_loss`, and `fit` are never used\u001b[0m\n \u001b[1m\u001b[96m--> \u001b[0mcore_lib\\src\\models\\linear.rs:12:12\n \u001b[1m\u001b[96m|\u001b[0m\n\u001b[1m\u001b[96m11\u001b[0m \u001b[1m\u001b[96m|\u001b[0m impl LinearRegression {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[96m---------------------\u001b[0m \u001b[1m\u001b[96massociated items in this implementation\u001b[0m\n\u001b[1m\u001b[96m12\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn new(n_features: usize) -> Self {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^\u001b[0m\n\u001b[1m\u001b[96m...\u001b[0m\n\u001b[1m\u001b[96m19\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn predict(&self, x: &Matrix) -> Vector {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^^^^^\u001b[0m\n\u001b[1m\u001b[96m...\u001b[0m\n\u001b[1m\u001b[96m33\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^^^^^^\u001b[0m\n\u001b[1m\u001b[96m...\u001b[0m\n\u001b[1m\u001b[96m44\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn fit(&mut self, x: &Matrix, y: &Vector, cfg: GradientDescentConfig) {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^\u001b[0m\n\n"} -{"$message_type":"diagnostic","message":"2 warnings emitted","code":null,"level":"warning","spans":[],"children":[],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: 2 warnings emitted\u001b[0m\n\n"} diff --git a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/dep-lib-core_lib b/target/debug/.fingerprint/core_lib-4eaba371db3fc435/dep-lib-core_lib deleted file mode 100644 index 747f80e7..00000000 Binary files a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/dep-lib-core_lib and /dev/null differ diff --git a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/invoked.timestamp b/target/debug/.fingerprint/core_lib-4eaba371db3fc435/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/lib-core_lib b/target/debug/.fingerprint/core_lib-4eaba371db3fc435/lib-core_lib deleted file mode 100644 index 1dcec0f7..00000000 --- a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/lib-core_lib +++ /dev/null @@ -1 +0,0 @@ -52822093f2d79a91 \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/lib-core_lib.json b/target/debug/.fingerprint/core_lib-4eaba371db3fc435/lib-core_lib.json deleted file mode 100644 index 7b48b013..00000000 --- a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/lib-core_lib.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[]","target":4530027578813610362,"profile":8731458305071235362,"path":5446614433701356091,"deps":[[13208667028893622512,"rand",false,5736232386842377329]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\core_lib-4eaba371db3fc435\\dep-lib-core_lib","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/output-lib-core_lib b/target/debug/.fingerprint/core_lib-4eaba371db3fc435/output-lib-core_lib deleted file mode 100644 index d8c7eebd..00000000 --- a/target/debug/.fingerprint/core_lib-4eaba371db3fc435/output-lib-core_lib +++ /dev/null @@ -1,3 +0,0 @@ -{"$message_type":"diagnostic","message":"struct `LinearRegression` is never constructed","code":{"code":"dead_code","explanation":null},"level":"warning","spans":[{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":166,"byte_end":182,"line_start":6,"line_end":6,"column_start":12,"column_end":28,"is_primary":true,"text":[{"text":"pub struct LinearRegression {","highlight_start":12,"highlight_end":28}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[{"message":"`#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default","code":null,"level":"note","spans":[],"children":[],"rendered":null}],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: struct `LinearRegression` is never constructed\u001b[0m\n \u001b[1m\u001b[96m--> \u001b[0mcore_lib\\src\\models\\linear.rs:6:12\n \u001b[1m\u001b[96m|\u001b[0m\n\u001b[1m\u001b[96m6\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub struct LinearRegression {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^^^^^^^^^^^^^^\u001b[0m\n \u001b[1m\u001b[96m|\u001b[0m\n \u001b[1m\u001b[96m= \u001b[0m\u001b[1m\u001b[97mnote\u001b[0m: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default\n\n"} -{"$message_type":"diagnostic","message":"associated items `new`, `predict`, `mse_loss`, and `fit` are never used","code":{"code":"dead_code","explanation":null},"level":"warning","spans":[{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":228,"byte_end":249,"line_start":11,"line_end":11,"column_start":1,"column_end":22,"is_primary":false,"text":[{"text":"impl LinearRegression {","highlight_start":1,"highlight_end":22}],"label":"associated items in this implementation","suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":264,"byte_end":267,"line_start":12,"line_end":12,"column_start":12,"column_end":15,"is_primary":true,"text":[{"text":" pub fn new(n_features: usize) -> Self {","highlight_start":12,"highlight_end":15}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":439,"byte_end":446,"line_start":20,"line_end":20,"column_start":12,"column_end":19,"is_primary":true,"text":[{"text":" pub fn predict(&self, x: &Matrix) -> Vector {","highlight_start":12,"highlight_end":19}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":842,"byte_end":850,"line_start":34,"line_end":34,"column_start":12,"column_end":20,"is_primary":true,"text":[{"text":" pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 {","highlight_start":12,"highlight_end":20}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":1160,"byte_end":1163,"line_start":45,"line_end":45,"column_start":12,"column_end":15,"is_primary":true,"text":[{"text":" pub fn fit(&mut self, x: &Matrix, y: &Vector, cfg: GradientDescentConfig) {","highlight_start":12,"highlight_end":15}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: associated items `new`, `predict`, `mse_loss`, and `fit` are never used\u001b[0m\n \u001b[1m\u001b[96m--> \u001b[0mcore_lib\\src\\models\\linear.rs:12:12\n \u001b[1m\u001b[96m|\u001b[0m\n\u001b[1m\u001b[96m11\u001b[0m \u001b[1m\u001b[96m|\u001b[0m impl LinearRegression {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[96m---------------------\u001b[0m \u001b[1m\u001b[96massociated items in this implementation\u001b[0m\n\u001b[1m\u001b[96m12\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn new(n_features: usize) -> Self {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^\u001b[0m\n\u001b[1m\u001b[96m...\u001b[0m\n\u001b[1m\u001b[96m20\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn predict(&self, x: &Matrix) -> Vector {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^^^^^\u001b[0m\n\u001b[1m\u001b[96m...\u001b[0m\n\u001b[1m\u001b[96m34\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^^^^^^\u001b[0m\n\u001b[1m\u001b[96m...\u001b[0m\n\u001b[1m\u001b[96m45\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn fit(&mut self, x: &Matrix, y: &Vector, cfg: GradientDescentConfig) {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^\u001b[0m\n\n"} -{"$message_type":"diagnostic","message":"2 warnings emitted","code":null,"level":"warning","spans":[],"children":[],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: 2 warnings emitted\u001b[0m\n\n"} diff --git a/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/invoked.timestamp b/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/test-lib-core_lib b/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/test-lib-core_lib deleted file mode 100644 index e884dbe6..00000000 --- a/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/test-lib-core_lib +++ /dev/null @@ -1 +0,0 @@ -5e6249d4903d43df \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/test-lib-core_lib.json b/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/test-lib-core_lib.json deleted file mode 100644 index 3a986a6a..00000000 --- a/target/debug/.fingerprint/core_lib-5bbfcea7d025aa03/test-lib-core_lib.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[]","target":4530027578813610362,"profile":3316208278650011218,"path":5446614433701356091,"deps":[],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\core_lib-5bbfcea7d025aa03\\dep-test-lib-core_lib","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/dep-test-lib-core_lib b/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/dep-test-lib-core_lib deleted file mode 100644 index e10e52c1..00000000 Binary files a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/dep-test-lib-core_lib and /dev/null differ diff --git a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/invoked.timestamp b/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/output-test-lib-core_lib b/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/output-test-lib-core_lib deleted file mode 100644 index ba669068..00000000 --- a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/output-test-lib-core_lib +++ /dev/null @@ -1,2 +0,0 @@ -{"$message_type":"diagnostic","message":"associated function `mse_loss` is never used","code":{"code":"dead_code","explanation":null},"level":"warning","spans":[{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":228,"byte_end":249,"line_start":11,"line_end":11,"column_start":1,"column_end":22,"is_primary":false,"text":[{"text":"impl LinearRegression {","highlight_start":1,"highlight_end":22}],"label":"associated function in this implementation","suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":842,"byte_end":850,"line_start":34,"line_end":34,"column_start":12,"column_end":20,"is_primary":true,"text":[{"text":" pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 {","highlight_start":12,"highlight_end":20}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[{"message":"`#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default","code":null,"level":"note","spans":[],"children":[],"rendered":null}],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: associated function `mse_loss` is never used\u001b[0m\n \u001b[1m\u001b[96m--> \u001b[0mcore_lib\\src\\models\\linear.rs:34:12\n \u001b[1m\u001b[96m|\u001b[0m\n\u001b[1m\u001b[96m11\u001b[0m \u001b[1m\u001b[96m|\u001b[0m impl LinearRegression {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[96m---------------------\u001b[0m \u001b[1m\u001b[96massociated function in this implementation\u001b[0m\n\u001b[1m\u001b[96m...\u001b[0m\n\u001b[1m\u001b[96m34\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^^^^^^\u001b[0m\n \u001b[1m\u001b[96m|\u001b[0m\n \u001b[1m\u001b[96m= \u001b[0m\u001b[1m\u001b[97mnote\u001b[0m: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default\n\n"} -{"$message_type":"diagnostic","message":"1 warning emitted","code":null,"level":"warning","spans":[],"children":[],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: 1 warning emitted\u001b[0m\n\n"} diff --git a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/test-lib-core_lib b/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/test-lib-core_lib deleted file mode 100644 index 998e50f1..00000000 --- a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/test-lib-core_lib +++ /dev/null @@ -1 +0,0 @@ -d7485746f1d98341 \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/test-lib-core_lib.json b/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/test-lib-core_lib.json deleted file mode 100644 index fdecd31a..00000000 --- a/target/debug/.fingerprint/core_lib-7af1363f93c4eb43/test-lib-core_lib.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[]","target":4530027578813610362,"profile":1722584277633009122,"path":5446614433701356091,"deps":[[13208667028893622512,"rand",false,5736232386842377329]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\core_lib-7af1363f93c4eb43\\dep-test-lib-core_lib","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/invoked.timestamp b/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/lib-core_lib b/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/lib-core_lib deleted file mode 100644 index e3fd83b1..00000000 --- a/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/lib-core_lib +++ /dev/null @@ -1 +0,0 @@ -34d76dafdbd640e2 \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/lib-core_lib.json b/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/lib-core_lib.json deleted file mode 100644 index d923db31..00000000 --- a/target/debug/.fingerprint/core_lib-ac4d7b4ff69a3279/lib-core_lib.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[]","target":4530027578813610362,"profile":17672942494452627365,"path":5446614433701356091,"deps":[],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\core_lib-ac4d7b4ff69a3279\\dep-lib-core_lib","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/dep-test-lib-core_lib b/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/dep-test-lib-core_lib deleted file mode 100644 index b4d8dca8..00000000 Binary files a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/dep-test-lib-core_lib and /dev/null differ diff --git a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/invoked.timestamp b/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/output-test-lib-core_lib b/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/output-test-lib-core_lib deleted file mode 100644 index 2614e38d..00000000 --- a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/output-test-lib-core_lib +++ /dev/null @@ -1,2 +0,0 @@ -{"$message_type":"diagnostic","message":"associated function `mse_loss` is never used","code":{"code":"dead_code","explanation":null},"level":"warning","spans":[{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":228,"byte_end":249,"line_start":11,"line_end":11,"column_start":1,"column_end":22,"is_primary":false,"text":[{"text":"impl LinearRegression {","highlight_start":1,"highlight_end":22}],"label":"associated function in this implementation","suggested_replacement":null,"suggestion_applicability":null,"expansion":null},{"file_name":"core_lib\\src\\models\\linear.rs","byte_start":810,"byte_end":818,"line_start":33,"line_end":33,"column_start":12,"column_end":20,"is_primary":true,"text":[{"text":" pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 {","highlight_start":12,"highlight_end":20}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[{"message":"`#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default","code":null,"level":"note","spans":[],"children":[],"rendered":null}],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: associated function `mse_loss` is never used\u001b[0m\n \u001b[1m\u001b[96m--> \u001b[0mcore_lib\\src\\models\\linear.rs:33:12\n \u001b[1m\u001b[96m|\u001b[0m\n\u001b[1m\u001b[96m11\u001b[0m \u001b[1m\u001b[96m|\u001b[0m impl LinearRegression {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[96m---------------------\u001b[0m \u001b[1m\u001b[96massociated function in this implementation\u001b[0m\n\u001b[1m\u001b[96m...\u001b[0m\n\u001b[1m\u001b[96m33\u001b[0m \u001b[1m\u001b[96m|\u001b[0m pub fn mse_loss(y_hat: &Vector, y: &Vector) -> f64 {\n \u001b[1m\u001b[96m|\u001b[0m \u001b[1m\u001b[93m^^^^^^^^\u001b[0m\n \u001b[1m\u001b[96m|\u001b[0m\n \u001b[1m\u001b[96m= \u001b[0m\u001b[1m\u001b[97mnote\u001b[0m: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default\n\n"} -{"$message_type":"diagnostic","message":"1 warning emitted","code":null,"level":"warning","spans":[],"children":[],"rendered":"\u001b[1m\u001b[93mwarning\u001b[0m\u001b[1m\u001b[97m: 1 warning emitted\u001b[0m\n\n"} diff --git a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/test-lib-core_lib b/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/test-lib-core_lib deleted file mode 100644 index 4c30cf78..00000000 --- a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/test-lib-core_lib +++ /dev/null @@ -1 +0,0 @@ -31ad95709d73940e \ No newline at end of file diff --git a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/test-lib-core_lib.json b/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/test-lib-core_lib.json deleted file mode 100644 index c5cfed64..00000000 --- a/target/debug/.fingerprint/core_lib-c10f8ce4604a9ba1/test-lib-core_lib.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[]","target":4530027578813610362,"profile":3316208278650011218,"path":5446614433701356091,"deps":[[13208667028893622512,"rand",false,8676580651467344696]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\core_lib-c10f8ce4604a9ba1\\dep-test-lib-core_lib","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/dep-lib-getrandom b/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/dep-lib-getrandom deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/dep-lib-getrandom and /dev/null differ diff --git a/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/invoked.timestamp b/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/lib-getrandom b/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/lib-getrandom deleted file mode 100644 index 4561b719..00000000 --- a/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/lib-getrandom +++ /dev/null @@ -1 +0,0 @@ -6da71d31b117bab2 \ No newline at end of file diff --git a/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/lib-getrandom.json b/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/lib-getrandom.json deleted file mode 100644 index d7b3f7a5..00000000 --- a/target/debug/.fingerprint/getrandom-58c7ada0403c8de5/lib-getrandom.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"std\"]","declared_features":"[\"compiler_builtins\", \"core\", \"custom\", \"js\", \"js-sys\", \"linux_disable_fallback\", \"rdrand\", \"rustc-dep-of-std\", \"std\", \"test-in-browser\", \"wasm-bindgen\"]","target":16244099637825074703,"profile":15657897354478470176,"path":3561370815732355971,"deps":[[7667230146095136825,"cfg_if",false,17345916823065482044]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\getrandom-58c7ada0403c8de5\\dep-lib-getrandom","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/dep-lib-getrandom b/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/dep-lib-getrandom deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/dep-lib-getrandom and /dev/null differ diff --git a/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/invoked.timestamp b/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/lib-getrandom b/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/lib-getrandom deleted file mode 100644 index 3ca569cd..00000000 --- a/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/lib-getrandom +++ /dev/null @@ -1 +0,0 @@ -d7c270be22741b9e \ No newline at end of file diff --git a/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/lib-getrandom.json b/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/lib-getrandom.json deleted file mode 100644 index 7591426f..00000000 --- a/target/debug/.fingerprint/getrandom-97b70b81fed4ec28/lib-getrandom.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"std\"]","declared_features":"[\"compiler_builtins\", \"core\", \"custom\", \"js\", \"js-sys\", \"linux_disable_fallback\", \"rdrand\", \"rustc-dep-of-std\", \"std\", \"test-in-browser\", \"wasm-bindgen\"]","target":16244099637825074703,"profile":2241668132362809309,"path":3561370815732355971,"deps":[[7667230146095136825,"cfg_if",false,2802133306989586373]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\getrandom-97b70b81fed4ec28\\dep-lib-getrandom","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/dep-lib-ppv_lite86 b/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/dep-lib-ppv_lite86 deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/dep-lib-ppv_lite86 and /dev/null differ diff --git a/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/invoked.timestamp b/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/lib-ppv_lite86 b/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/lib-ppv_lite86 deleted file mode 100644 index bb504522..00000000 --- a/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/lib-ppv_lite86 +++ /dev/null @@ -1 +0,0 @@ -7f5f22727303b91a \ No newline at end of file diff --git a/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/lib-ppv_lite86.json b/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/lib-ppv_lite86.json deleted file mode 100644 index 6fe799f3..00000000 --- a/target/debug/.fingerprint/ppv-lite86-303e43c8c60d3e51/lib-ppv_lite86.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"simd\", \"std\"]","declared_features":"[\"default\", \"no_simd\", \"simd\", \"std\"]","target":2607852365283500179,"profile":2241668132362809309,"path":7638602519839614409,"deps":[[4878717189156408352,"zerocopy",false,3135042345284185675]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\ppv-lite86-303e43c8c60d3e51\\dep-lib-ppv_lite86","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/dep-lib-ppv_lite86 b/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/dep-lib-ppv_lite86 deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/dep-lib-ppv_lite86 and /dev/null differ diff --git a/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/invoked.timestamp b/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/lib-ppv_lite86 b/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/lib-ppv_lite86 deleted file mode 100644 index 4b462539..00000000 --- a/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/lib-ppv_lite86 +++ /dev/null @@ -1 +0,0 @@ -d28992287b1e0086 \ No newline at end of file diff --git a/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/lib-ppv_lite86.json b/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/lib-ppv_lite86.json deleted file mode 100644 index 7355579b..00000000 --- a/target/debug/.fingerprint/ppv-lite86-44fd05caf9262dc0/lib-ppv_lite86.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"simd\", \"std\"]","declared_features":"[\"default\", \"no_simd\", \"simd\", \"std\"]","target":2607852365283500179,"profile":15657897354478470176,"path":7638602519839614409,"deps":[[4878717189156408352,"zerocopy",false,10048596309364385715]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\ppv-lite86-44fd05caf9262dc0\\dep-lib-ppv_lite86","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/python_binding-552ff32da26b7691/dep-test-lib-python_binding b/target/debug/.fingerprint/python_binding-552ff32da26b7691/dep-test-lib-python_binding deleted file mode 100644 index 02bca30b..00000000 Binary files a/target/debug/.fingerprint/python_binding-552ff32da26b7691/dep-test-lib-python_binding and /dev/null differ diff --git a/target/debug/.fingerprint/python_binding-552ff32da26b7691/invoked.timestamp b/target/debug/.fingerprint/python_binding-552ff32da26b7691/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/python_binding-552ff32da26b7691/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/python_binding-552ff32da26b7691/test-lib-python_binding b/target/debug/.fingerprint/python_binding-552ff32da26b7691/test-lib-python_binding deleted file mode 100644 index bb0d7f9c..00000000 --- a/target/debug/.fingerprint/python_binding-552ff32da26b7691/test-lib-python_binding +++ /dev/null @@ -1 +0,0 @@ -31caaf5a68dc7e91 \ No newline at end of file diff --git a/target/debug/.fingerprint/python_binding-552ff32da26b7691/test-lib-python_binding.json b/target/debug/.fingerprint/python_binding-552ff32da26b7691/test-lib-python_binding.json deleted file mode 100644 index 393f6db9..00000000 --- a/target/debug/.fingerprint/python_binding-552ff32da26b7691/test-lib-python_binding.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[]","target":8140296790139114494,"profile":3316208278650011218,"path":13107564755719830091,"deps":[],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\python_binding-552ff32da26b7691\\dep-test-lib-python_binding","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/dep-lib-python_binding b/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/dep-lib-python_binding deleted file mode 100644 index 02bca30b..00000000 Binary files a/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/dep-lib-python_binding and /dev/null differ diff --git a/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/invoked.timestamp b/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/lib-python_binding b/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/lib-python_binding deleted file mode 100644 index 8ec74fbe..00000000 --- a/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/lib-python_binding +++ /dev/null @@ -1 +0,0 @@ -564be9f12530d445 \ No newline at end of file diff --git a/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/lib-python_binding.json b/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/lib-python_binding.json deleted file mode 100644 index e986765e..00000000 --- a/target/debug/.fingerprint/python_binding-c55bf62cb34c3c96/lib-python_binding.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[]","declared_features":"[]","target":8140296790139114494,"profile":17672942494452627365,"path":13107564755719830091,"deps":[],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\python_binding-c55bf62cb34c3c96\\dep-lib-python_binding","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/rand-767ab81daf199ad6/dep-lib-rand b/target/debug/.fingerprint/rand-767ab81daf199ad6/dep-lib-rand deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/rand-767ab81daf199ad6/dep-lib-rand and 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-{"rustc":6817557220965521185,"features":"[\"alloc\", \"default\", \"getrandom\", \"libc\", \"rand_chacha\", \"std\", \"std_rng\"]","declared_features":"[\"alloc\", \"default\", \"getrandom\", \"libc\", \"log\", \"min_const_gen\", \"nightly\", \"packed_simd\", \"rand_chacha\", \"serde\", \"serde1\", \"simd_support\", \"small_rng\", \"std\", \"std_rng\"]","target":8827111241893198906,"profile":15657897354478470176,"path":1191357574341098873,"deps":[[1573238666360410412,"rand_chacha",false,16448821407255788871],[18130209639506977569,"rand_core",false,11198304688608084034]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\rand-767ab81daf199ad6\\dep-lib-rand","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/rand-ac60e5ca349a861a/dep-lib-rand b/target/debug/.fingerprint/rand-ac60e5ca349a861a/dep-lib-rand deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/rand-ac60e5ca349a861a/dep-lib-rand and /dev/null differ diff --git a/target/debug/.fingerprint/rand-ac60e5ca349a861a/invoked.timestamp b/target/debug/.fingerprint/rand-ac60e5ca349a861a/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/rand-ac60e5ca349a861a/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/rand-ac60e5ca349a861a/lib-rand b/target/debug/.fingerprint/rand-ac60e5ca349a861a/lib-rand deleted file mode 100644 index 47b49d8e..00000000 --- a/target/debug/.fingerprint/rand-ac60e5ca349a861a/lib-rand +++ /dev/null @@ -1 +0,0 @@ -380bbdcb21686978 \ No newline at end of file diff --git a/target/debug/.fingerprint/rand-ac60e5ca349a861a/lib-rand.json b/target/debug/.fingerprint/rand-ac60e5ca349a861a/lib-rand.json deleted file mode 100644 index 868b32a5..00000000 --- a/target/debug/.fingerprint/rand-ac60e5ca349a861a/lib-rand.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"alloc\", \"default\", \"getrandom\", \"libc\", \"rand_chacha\", \"std\", \"std_rng\"]","declared_features":"[\"alloc\", \"default\", \"getrandom\", \"libc\", \"log\", \"min_const_gen\", \"nightly\", \"packed_simd\", \"rand_chacha\", \"serde\", \"serde1\", \"simd_support\", \"small_rng\", \"std\", \"std_rng\"]","target":8827111241893198906,"profile":2241668132362809309,"path":1191357574341098873,"deps":[[1573238666360410412,"rand_chacha",false,14292889648028976991],[18130209639506977569,"rand_core",false,8038161713373193590]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\rand-ac60e5ca349a861a\\dep-lib-rand","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/dep-lib-rand_chacha b/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/dep-lib-rand_chacha deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/dep-lib-rand_chacha and /dev/null differ diff --git a/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/invoked.timestamp b/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/lib-rand_chacha b/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/lib-rand_chacha deleted file mode 100644 index 6f3bb53f..00000000 --- a/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/lib-rand_chacha +++ /dev/null @@ -1 +0,0 @@ -477d5299ebf345e4 \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/lib-rand_chacha.json b/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/lib-rand_chacha.json deleted file mode 100644 index 2ec5c463..00000000 --- a/target/debug/.fingerprint/rand_chacha-07c1c3e8678ff6ed/lib-rand_chacha.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"std\"]","declared_features":"[\"default\", \"serde\", \"serde1\", \"simd\", \"std\"]","target":15766068575093147603,"profile":15657897354478470176,"path":9620529832616907744,"deps":[[12919011715531272606,"ppv_lite86",false,9655751115392846290],[18130209639506977569,"rand_core",false,11198304688608084034]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\rand_chacha-07c1c3e8678ff6ed\\dep-lib-rand_chacha","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/dep-lib-rand_chacha b/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/dep-lib-rand_chacha deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/dep-lib-rand_chacha and /dev/null differ diff --git a/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/invoked.timestamp b/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/lib-rand_chacha b/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/lib-rand_chacha deleted file mode 100644 index 211b9f60..00000000 --- a/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/lib-rand_chacha +++ /dev/null @@ -1 +0,0 @@ -5f07a06c688b5ac6 \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/lib-rand_chacha.json b/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/lib-rand_chacha.json deleted file mode 100644 index 29dc9fc9..00000000 --- a/target/debug/.fingerprint/rand_chacha-858707a608c7b42e/lib-rand_chacha.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"std\"]","declared_features":"[\"default\", \"serde\", \"serde1\", \"simd\", \"std\"]","target":15766068575093147603,"profile":2241668132362809309,"path":9620529832616907744,"deps":[[12919011715531272606,"ppv_lite86",false,1925574110048575359],[18130209639506977569,"rand_core",false,8038161713373193590]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\rand_chacha-858707a608c7b42e\\dep-lib-rand_chacha","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/dep-lib-rand_core b/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/dep-lib-rand_core deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/dep-lib-rand_core and /dev/null differ diff --git a/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/invoked.timestamp b/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/lib-rand_core b/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/lib-rand_core deleted file mode 100644 index 84b4f055..00000000 --- a/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/lib-rand_core +++ /dev/null @@ -1 +0,0 @@ -4280137bc85e689b \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/lib-rand_core.json b/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/lib-rand_core.json deleted file mode 100644 index 3f92aea8..00000000 --- a/target/debug/.fingerprint/rand_core-41d2eb87ca373cbf/lib-rand_core.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"alloc\", \"getrandom\", \"std\"]","declared_features":"[\"alloc\", \"getrandom\", \"serde\", \"serde1\", \"std\"]","target":13770603672348587087,"profile":15657897354478470176,"path":1404441153406626158,"deps":[[11023519408959114924,"getrandom",false,12878632134220031853]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\rand_core-41d2eb87ca373cbf\\dep-lib-rand_core","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/dep-lib-rand_core b/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/dep-lib-rand_core deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/dep-lib-rand_core and /dev/null differ diff --git a/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/invoked.timestamp b/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/lib-rand_core b/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/lib-rand_core deleted file mode 100644 index 1ffa9c80..00000000 --- a/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/lib-rand_core +++ /dev/null @@ -1 +0,0 @@ -7625c1847d498d6f \ No newline at end of file diff --git a/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/lib-rand_core.json b/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/lib-rand_core.json deleted file mode 100644 index 0c89a248..00000000 --- a/target/debug/.fingerprint/rand_core-6bbe4c472f10e29d/lib-rand_core.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"alloc\", \"getrandom\", \"std\"]","declared_features":"[\"alloc\", \"getrandom\", \"serde\", \"serde1\", \"std\"]","target":13770603672348587087,"profile":2241668132362809309,"path":1404441153406626158,"deps":[[11023519408959114924,"getrandom",false,11392827374936572631]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\rand_core-6bbe4c472f10e29d\\dep-lib-rand_core","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-1a1ea9539132d9e0/run-build-script-build-script-build b/target/debug/.fingerprint/zerocopy-1a1ea9539132d9e0/run-build-script-build-script-build deleted file mode 100644 index ad7e5bea..00000000 --- a/target/debug/.fingerprint/zerocopy-1a1ea9539132d9e0/run-build-script-build-script-build +++ /dev/null @@ -1 +0,0 @@ -1dcbed91e2586bcb \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-1a1ea9539132d9e0/run-build-script-build-script-build.json b/target/debug/.fingerprint/zerocopy-1a1ea9539132d9e0/run-build-script-build-script-build.json deleted file mode 100644 index d8caa480..00000000 --- a/target/debug/.fingerprint/zerocopy-1a1ea9539132d9e0/run-build-script-build-script-build.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"","declared_features":"","target":0,"profile":0,"path":0,"deps":[[4878717189156408352,"build_script_build",false,6047356939989761225]],"local":[{"RerunIfChanged":{"output":"debug\\build\\zerocopy-1a1ea9539132d9e0\\output","paths":["build.rs","Cargo.toml"]}}],"rustflags":[],"config":0,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/dep-lib-zerocopy b/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/dep-lib-zerocopy deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/dep-lib-zerocopy and /dev/null differ diff --git a/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/invoked.timestamp b/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/lib-zerocopy b/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/lib-zerocopy deleted file mode 100644 index f772c39a..00000000 --- a/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/lib-zerocopy +++ /dev/null @@ -1 +0,0 @@ -b327f7861ac9738b \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/lib-zerocopy.json b/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/lib-zerocopy.json deleted file mode 100644 index 0d27b12b..00000000 --- a/target/debug/.fingerprint/zerocopy-7d80dfdad7e24be3/lib-zerocopy.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"simd\"]","declared_features":"[\"__internal_use_only_features_that_work_on_stable\", \"alloc\", \"derive\", \"float-nightly\", \"simd\", \"simd-nightly\", \"std\", \"zerocopy-derive\"]","target":3084901215544504908,"profile":15657897354478470176,"path":12879275694614638618,"deps":[[4878717189156408352,"build_script_build",false,14657907142341544733]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\zerocopy-7d80dfdad7e24be3\\dep-lib-zerocopy","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/dep-lib-zerocopy b/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/dep-lib-zerocopy deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/dep-lib-zerocopy and /dev/null differ diff --git a/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/invoked.timestamp b/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/lib-zerocopy b/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/lib-zerocopy deleted file mode 100644 index 88f27d3f..00000000 --- a/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/lib-zerocopy +++ /dev/null @@ -1 +0,0 @@ -4bae782267e8812b \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/lib-zerocopy.json b/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/lib-zerocopy.json deleted file mode 100644 index 1c0d6191..00000000 --- a/target/debug/.fingerprint/zerocopy-ca6099e67b33a961/lib-zerocopy.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"simd\"]","declared_features":"[\"__internal_use_only_features_that_work_on_stable\", \"alloc\", \"derive\", \"float-nightly\", \"simd\", \"simd-nightly\", \"std\", \"zerocopy-derive\"]","target":3084901215544504908,"profile":2241668132362809309,"path":12879275694614638618,"deps":[[4878717189156408352,"build_script_build",false,14657907142341544733]],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\zerocopy-ca6099e67b33a961\\dep-lib-zerocopy","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/build-script-build-script-build b/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/build-script-build-script-build deleted file mode 100644 index 965a169d..00000000 --- a/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/build-script-build-script-build +++ /dev/null @@ -1 +0,0 @@ -c93c15be1887ec53 \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/build-script-build-script-build.json b/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/build-script-build-script-build.json deleted file mode 100644 index f4d5ea01..00000000 --- a/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/build-script-build-script-build.json +++ /dev/null @@ -1 +0,0 @@ -{"rustc":6817557220965521185,"features":"[\"simd\"]","declared_features":"[\"__internal_use_only_features_that_work_on_stable\", \"alloc\", \"derive\", \"float-nightly\", \"simd\", \"simd-nightly\", \"std\", \"zerocopy-derive\"]","target":5408242616063297496,"profile":2225463790103693989,"path":17119673832928294015,"deps":[],"local":[{"CheckDepInfo":{"dep_info":"debug\\.fingerprint\\zerocopy-cc7fb013ad0772e1\\dep-build-script-build-script-build","checksum":false}}],"rustflags":[],"config":2069994364910194474,"compile_kind":0} \ No newline at end of file diff --git a/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/dep-build-script-build-script-build b/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/dep-build-script-build-script-build deleted file mode 100644 index ec3cb8bf..00000000 Binary files a/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/dep-build-script-build-script-build and /dev/null differ diff --git a/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/invoked.timestamp b/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/.fingerprint/zerocopy-cc7fb013ad0772e1/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/build/zerocopy-1a1ea9539132d9e0/invoked.timestamp b/target/debug/build/zerocopy-1a1ea9539132d9e0/invoked.timestamp deleted file mode 100644 index e00328da..00000000 --- a/target/debug/build/zerocopy-1a1ea9539132d9e0/invoked.timestamp +++ /dev/null @@ -1 +0,0 @@ -This file has an mtime of when this was started. \ No newline at end of file diff --git a/target/debug/build/zerocopy-1a1ea9539132d9e0/output b/target/debug/build/zerocopy-1a1ea9539132d9e0/output deleted file mode 100644 index deda5f6a..00000000 --- a/target/debug/build/zerocopy-1a1ea9539132d9e0/output +++ /dev/null @@ -1,21 +0,0 @@ -cargo:rerun-if-changed=build.rs -cargo:rerun-if-changed=Cargo.toml -cargo:rustc-check-cfg=cfg(no_zerocopy_simd_x86_avx12_1_89_0) -cargo:rustc-check-cfg=cfg(rust, values("1.89.0")) -cargo:rustc-check-cfg=cfg(no_zerocopy_core_error_1_81_0) -cargo:rustc-check-cfg=cfg(rust, values("1.81.0")) -cargo:rustc-check-cfg=cfg(no_zerocopy_diagnostic_on_unimplemented_1_78_0) -cargo:rustc-check-cfg=cfg(rust, values("1.78.0")) -cargo:rustc-check-cfg=cfg(no_zerocopy_generic_bounds_in_const_fn_1_61_0) -cargo:rustc-check-cfg=cfg(rust, values("1.61.0")) -cargo:rustc-check-cfg=cfg(no_zerocopy_target_has_atomics_1_60_0) -cargo:rustc-check-cfg=cfg(rust, values("1.60.0")) -cargo:rustc-check-cfg=cfg(no_zerocopy_aarch64_simd_1_59_0) -cargo:rustc-check-cfg=cfg(rust, values("1.59.0")) -cargo:rustc-check-cfg=cfg(no_zerocopy_panic_in_const_and_vec_try_reserve_1_57_0) -cargo:rustc-check-cfg=cfg(rust, values("1.57.0")) -cargo:rustc-check-cfg=cfg(doc_cfg) -cargo:rustc-check-cfg=cfg(kani) -cargo:rustc-check-cfg=cfg(__ZEROCOPY_INTERNAL_USE_ONLY_NIGHTLY_FEATURES_IN_TESTS) -cargo:rustc-check-cfg=cfg(__ZEROCOPY_INTERNAL_USE_ONLY_DEV_MODE) -cargo:rustc-check-cfg=cfg(coverage_nightly) diff --git a/target/debug/build/zerocopy-1a1ea9539132d9e0/root-output 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-C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\api_server-913046eab0b0f30b.d: api_server\src\main.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libapi_server-913046eab0b0f30b.rmeta: api_server\src\main.rs - -api_server\src\main.rs: diff --git a/target/debug/deps/api_server-fbde9046c6cf0b51.d b/target/debug/deps/api_server-fbde9046c6cf0b51.d deleted file mode 100644 index 8813157d..00000000 --- a/target/debug/deps/api_server-fbde9046c6cf0b51.d +++ /dev/null @@ -1,5 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\api_server-fbde9046c6cf0b51.d: api_server\src\main.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libapi_server-fbde9046c6cf0b51.rmeta: api_server\src\main.rs - -api_server\src\main.rs: diff --git a/target/debug/deps/cfg_if-4be1d57b9cd9afec.d b/target/debug/deps/cfg_if-4be1d57b9cd9afec.d deleted file mode 100644 index 157c326f..00000000 --- a/target/debug/deps/cfg_if-4be1d57b9cd9afec.d +++ /dev/null @@ -1,7 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\cfg_if-4be1d57b9cd9afec.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\cfg-if-1.0.4\src\lib.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libcfg_if-4be1d57b9cd9afec.rlib: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\cfg-if-1.0.4\src\lib.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libcfg_if-4be1d57b9cd9afec.rmeta: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\cfg-if-1.0.4\src\lib.rs - -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\cfg-if-1.0.4\src\lib.rs: diff --git a/target/debug/deps/cfg_if-f35af99d81ed8f2e.d b/target/debug/deps/cfg_if-f35af99d81ed8f2e.d deleted file mode 100644 index b16c2d4d..00000000 --- a/target/debug/deps/cfg_if-f35af99d81ed8f2e.d +++ /dev/null @@ -1,5 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\cfg_if-f35af99d81ed8f2e.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\cfg-if-1.0.4\src\lib.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libcfg_if-f35af99d81ed8f2e.rmeta: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\cfg-if-1.0.4\src\lib.rs - -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\cfg-if-1.0.4\src\lib.rs: diff --git a/target/debug/deps/core_lib-40ffefc510b60f4d.d b/target/debug/deps/core_lib-40ffefc510b60f4d.d deleted file mode 100644 index d269f296..00000000 --- a/target/debug/deps/core_lib-40ffefc510b60f4d.d +++ /dev/null @@ -1,12 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\core_lib-40ffefc510b60f4d.d: core_lib\src\lib.rs core_lib\src\math\mod.rs core_lib\src\math\matrix.rs core_lib\src\math\vector.rs core_lib\src\models\mod.rs core_lib\src\models\linear.rs core_lib\src\optim\mod.rs core_lib\src\optim\gradient_descent.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libcore_lib-40ffefc510b60f4d.rmeta: core_lib\src\lib.rs core_lib\src\math\mod.rs core_lib\src\math\matrix.rs core_lib\src\math\vector.rs core_lib\src\models\mod.rs core_lib\src\models\linear.rs core_lib\src\optim\mod.rs core_lib\src\optim\gradient_descent.rs - -core_lib\src\lib.rs: -core_lib\src\math\mod.rs: -core_lib\src\math\matrix.rs: -core_lib\src\math\vector.rs: -core_lib\src\models\mod.rs: -core_lib\src\models\linear.rs: -core_lib\src\optim\mod.rs: -core_lib\src\optim\gradient_descent.rs: diff --git a/target/debug/deps/core_lib-4eaba371db3fc435.d b/target/debug/deps/core_lib-4eaba371db3fc435.d deleted file mode 100644 index 7dbaa653..00000000 --- a/target/debug/deps/core_lib-4eaba371db3fc435.d +++ /dev/null @@ -1,14 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\core_lib-4eaba371db3fc435.d: core_lib\src\lib.rs core_lib\src\math\mod.rs core_lib\src\math\matrix.rs core_lib\src\math\vector.rs core_lib\src\models\mod.rs core_lib\src\models\linear.rs core_lib\src\optim\mod.rs core_lib\src\optim\gradient_descent.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libcore_lib-4eaba371db3fc435.rlib: core_lib\src\lib.rs core_lib\src\math\mod.rs core_lib\src\math\matrix.rs core_lib\src\math\vector.rs core_lib\src\models\mod.rs core_lib\src\models\linear.rs core_lib\src\optim\mod.rs core_lib\src\optim\gradient_descent.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libcore_lib-4eaba371db3fc435.rmeta: core_lib\src\lib.rs core_lib\src\math\mod.rs core_lib\src\math\matrix.rs core_lib\src\math\vector.rs core_lib\src\models\mod.rs core_lib\src\models\linear.rs core_lib\src\optim\mod.rs core_lib\src\optim\gradient_descent.rs - -core_lib\src\lib.rs: -core_lib\src\math\mod.rs: -core_lib\src\math\matrix.rs: -core_lib\src\math\vector.rs: -core_lib\src\models\mod.rs: -core_lib\src\models\linear.rs: -core_lib\src\optim\mod.rs: -core_lib\src\optim\gradient_descent.rs: diff 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core_lib\src\math\vector.rs core_lib\src\models\mod.rs core_lib\src\models\linear.rs core_lib\src\optim\mod.rs core_lib\src\optim\gradient_descent.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libcore_lib-c10f8ce4604a9ba1.rmeta: core_lib\src\lib.rs core_lib\src\math\mod.rs core_lib\src\math\matrix.rs core_lib\src\math\vector.rs core_lib\src\models\mod.rs core_lib\src\models\linear.rs core_lib\src\optim\mod.rs core_lib\src\optim\gradient_descent.rs - -core_lib\src\lib.rs: -core_lib\src\math\mod.rs: -core_lib\src\math\matrix.rs: -core_lib\src\math\vector.rs: -core_lib\src\models\mod.rs: -core_lib\src\models\linear.rs: -core_lib\src\optim\mod.rs: -core_lib\src\optim\gradient_descent.rs: diff --git a/target/debug/deps/getrandom-58c7ada0403c8de5.d b/target/debug/deps/getrandom-58c7ada0403c8de5.d deleted file mode 100644 index 6c165e17..00000000 --- a/target/debug/deps/getrandom-58c7ada0403c8de5.d +++ /dev/null @@ -1,11 +0,0 @@ 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-C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\getrandom-0.2.17\src\util.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\getrandom-0.2.17\src\error_impls.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\getrandom-0.2.17\src\windows.rs: diff --git a/target/debug/deps/getrandom-97b70b81fed4ec28.d b/target/debug/deps/getrandom-97b70b81fed4ec28.d deleted file mode 100644 index 971250c5..00000000 --- a/target/debug/deps/getrandom-97b70b81fed4ec28.d +++ /dev/null @@ -1,9 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\getrandom-97b70b81fed4ec28.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\getrandom-0.2.17\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\getrandom-0.2.17\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\getrandom-0.2.17\src\util.rs 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C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\uniform.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\weighted.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\prelude.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rng.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\read.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\reseeding.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\mock.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\std.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\thread.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\seq\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\seq\index.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\librand-767ab81daf199ad6.rlib: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\bernoulli.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\distribution.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\float.rs 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diff --git a/target/debug/deps/rand-ac60e5ca349a861a.d b/target/debug/deps/rand-ac60e5ca349a861a.d deleted file mode 100644 index dcd54b03..00000000 --- a/target/debug/deps/rand-ac60e5ca349a861a.d +++ /dev/null @@ -1,27 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\rand-ac60e5ca349a861a.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\bernoulli.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\distribution.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\float.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\integer.rs 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C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\uniform.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\weighted.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\prelude.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rng.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\read.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\reseeding.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\mock.rs 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-C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\integer.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\other.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\slice.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\utils.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\weighted_index.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\uniform.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\distributions\weighted.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\prelude.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rng.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\mod.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\mod.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\read.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\adapter\reseeding.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\mock.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\std.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\rngs\thread.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\seq\mod.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand-0.8.5\src\seq\index.rs: diff --git a/target/debug/deps/rand_chacha-07c1c3e8678ff6ed.d b/target/debug/deps/rand_chacha-07c1c3e8678ff6ed.d deleted file mode 100644 index 11f0ff27..00000000 --- a/target/debug/deps/rand_chacha-07c1c3e8678ff6ed.d +++ /dev/null @@ -1,9 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\rand_chacha-07c1c3e8678ff6ed.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\chacha.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\guts.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\librand_chacha-07c1c3e8678ff6ed.rlib: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\chacha.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\guts.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\librand_chacha-07c1c3e8678ff6ed.rmeta: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\chacha.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\guts.rs - -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\lib.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\chacha.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\guts.rs: diff --git a/target/debug/deps/rand_chacha-858707a608c7b42e.d b/target/debug/deps/rand_chacha-858707a608c7b42e.d deleted file mode 100644 index 6dd0e0fa..00000000 --- a/target/debug/deps/rand_chacha-858707a608c7b42e.d +++ /dev/null @@ -1,7 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\rand_chacha-858707a608c7b42e.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\chacha.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\guts.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\librand_chacha-858707a608c7b42e.rmeta: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\chacha.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\guts.rs - -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\lib.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\chacha.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_chacha-0.3.1\src\guts.rs: diff --git a/target/debug/deps/rand_core-41d2eb87ca373cbf.d b/target/debug/deps/rand_core-41d2eb87ca373cbf.d deleted file mode 100644 index 8e7ba4f2..00000000 --- a/target/debug/deps/rand_core-41d2eb87ca373cbf.d +++ /dev/null @@ -1,12 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\rand_core-41d2eb87ca373cbf.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\block.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\le.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\os.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\librand_core-41d2eb87ca373cbf.rlib: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\block.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\le.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\os.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\librand_core-41d2eb87ca373cbf.rmeta: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\block.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\le.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\os.rs - -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\lib.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\block.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\error.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\impls.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\le.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\os.rs: diff --git a/target/debug/deps/rand_core-6bbe4c472f10e29d.d b/target/debug/deps/rand_core-6bbe4c472f10e29d.d deleted file mode 100644 index 3bb72e70..00000000 --- a/target/debug/deps/rand_core-6bbe4c472f10e29d.d +++ /dev/null @@ -1,10 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\rand_core-6bbe4c472f10e29d.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\block.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\le.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\os.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\librand_core-6bbe4c472f10e29d.rmeta: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\block.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\le.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\os.rs - -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\lib.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\block.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\error.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\impls.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\le.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\rand_core-0.6.4\src\os.rs: diff --git a/target/debug/deps/zerocopy-7d80dfdad7e24be3.d b/target/debug/deps/zerocopy-7d80dfdad7e24be3.d deleted file mode 100644 index 81bca169..00000000 --- a/target/debug/deps/zerocopy-7d80dfdad7e24be3.d +++ /dev/null @@ -1,27 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\zerocopy-7d80dfdad7e24be3.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macro_util.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byte_slice.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byteorder.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\deprecated.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\layout.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\inner.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\invariant.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\ptr.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\transmute.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\ref.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\split_at.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\wrappers.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libzerocopy-7d80dfdad7e24be3.rlib: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macro_util.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byte_slice.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byteorder.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\deprecated.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\layout.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\inner.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\invariant.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\ptr.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\transmute.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\ref.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\split_at.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\wrappers.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libzerocopy-7d80dfdad7e24be3.rmeta: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macro_util.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byte_slice.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byteorder.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\deprecated.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\layout.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\inner.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\invariant.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\ptr.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\transmute.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\ref.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\split_at.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\wrappers.rs - -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\lib.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\mod.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macros.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macro_util.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byte_slice.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byteorder.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\deprecated.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\error.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\impls.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\layout.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\macros.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\mod.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\inner.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\invariant.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\ptr.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\transmute.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\ref.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\split_at.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\wrappers.rs: - -# env-dep:CARGO_PKG_VERSION=0.8.39 diff --git a/target/debug/deps/zerocopy-ca6099e67b33a961.d b/target/debug/deps/zerocopy-ca6099e67b33a961.d deleted file mode 100644 index 29a9828b..00000000 --- a/target/debug/deps/zerocopy-ca6099e67b33a961.d +++ /dev/null @@ -1,25 +0,0 @@ -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\zerocopy-ca6099e67b33a961.d: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macro_util.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byte_slice.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byteorder.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\deprecated.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\layout.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\inner.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\invariant.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\ptr.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\transmute.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\ref.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\split_at.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\wrappers.rs - -C:\Users\thini\Desktop\PA\VisionAI\target\debug\deps\libzerocopy-ca6099e67b33a961.rmeta: C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\lib.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macro_util.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byte_slice.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byteorder.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\deprecated.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\error.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\impls.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\layout.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\macros.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\mod.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\inner.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\invariant.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\ptr.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\transmute.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\ref.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\split_at.rs C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\wrappers.rs - -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\lib.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\mod.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macros.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\util\macro_util.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byte_slice.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\byteorder.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\deprecated.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\error.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\impls.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\layout.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\macros.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\mod.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\inner.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\invariant.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\ptr.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\pointer\transmute.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\ref.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\split_at.rs: -C:\Users\thini\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\zerocopy-0.8.39\src\wrappers.rs: - -# env-dep:CARGO_PKG_VERSION=0.8.39 diff --git a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/dep-graph.bin b/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/dep-graph.bin deleted file mode 100644 index 70d314b0..00000000 Binary files a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/dep-graph.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/query-cache.bin b/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/query-cache.bin deleted file mode 100644 index 450abf41..00000000 Binary files a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/query-cache.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/work-products.bin b/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/work-products.bin deleted file mode 100644 index af16c4d5..00000000 Binary files a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24-4xvs573hjnd8ccbmcu12981ig/work-products.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24.lock b/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0gtfde-0pa1t24.lock deleted file mode 100644 index e69de29b..00000000 diff --git a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/dep-graph.bin b/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/dep-graph.bin deleted file mode 100644 index 612587ef..00000000 Binary files a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/dep-graph.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/query-cache.bin b/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/query-cache.bin deleted file mode 100644 index b863bb10..00000000 Binary files a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/query-cache.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/work-products.bin b/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/work-products.bin deleted file mode 100644 index af16c4d5..00000000 Binary files a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16-ckyabkr642086zinz2yt7pefc/work-products.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16.lock b/target/debug/incremental/api_server-08773zd8io7v6/s-hg0t0ke52p-0cj0y16.lock deleted file mode 100644 index e69de29b..00000000 diff --git a/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/dep-graph.bin b/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/dep-graph.bin deleted file mode 100644 index 4a1f9479..00000000 Binary files a/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/dep-graph.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/query-cache.bin b/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/query-cache.bin deleted file mode 100644 index 592ededf..00000000 Binary files a/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/query-cache.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/work-products.bin b/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/work-products.bin deleted file mode 100644 index af16c4d5..00000000 Binary files a/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke-6rgw2d0t0fk4p5obur66ygopx/work-products.bin and /dev/null differ diff --git a/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke.lock b/target/debug/incremental/api_server-1henqjeygrtp4/s-hfxd683v0d-1ivyeke.lock deleted file mode 100644 index e69de29b..00000000 diff --git a/target/debug/incremental/api_server-1henqjeygrtp4/s-hg0t0gulr7-1154xck-working/dep-graph.bin b/target/debug/incremental/api_server-1henqjeygrtp4/s-hg0t0gulr7-1154xck-working/dep-graph.bin deleted file mode 100644 index 4a1f9479..00000000 Binary files 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e69de29b..00000000 diff --git a/train_and_save.py b/train_and_save.py new file mode 100644 index 00000000..aee669e3 --- /dev/null +++ b/train_and_save.py @@ -0,0 +1,39 @@ +import numpy as np +import vision_ai +import json +import os + +X_train = np.load('datasets/X_train.npy') +y_train = np.load('datasets/y_train.npy') + +inputs = [X_train[i].tolist() for i in range(len(X_train))] +targets = [] +for label in y_train: + t = [0.0, 0.0, 0.0] + t[int(label)] = 1.0 + targets.append(t) + +print('Entrainement...') +model = vision_ai.PyMLP([12288, 64, 3]) +model.train(inputs, targets, 0.001, 10) +print('Termine !') + +X_test = np.load('datasets/X_test.npy') +y_test = np.load('datasets/y_test.npy') + +inputs_test = [X_test[i].tolist() for i in range(len(X_test))] +predictions = [model.predict(x) for x in inputs_test] +y_pred = [pred.index(max(pred)) for pred in predictions] +correct = sum(1 for p, t in zip(y_pred, y_test) if p == int(t)) +accuracy = correct / len(y_test) * 100 +print(f'Accuracy : {accuracy:.1f}%') + +os.makedirs('models', exist_ok=True) + +model.save_json('models/mlp_weights.json') +print('Poids sauvegardes dans models/mlp_weights.json !') + +weights_data = {'layer_sizes': [12288, 64, 3], 'accuracy': accuracy} +with open('models/mlp_config.json', 'w') as f: + json.dump(weights_data, f) +print('Config sauvegardee !') \ No newline at end of file