From 3b430bdf29239ad3ad844cc75b90dde54e67ff83 Mon Sep 17 00:00:00 2001 From: Tony Lampada Date: Fri, 6 Jun 2025 19:35:06 +0000 Subject: [PATCH 1/4] =?UTF-8?q?multilabel=20classification=20upload=20with?= =?UTF-8?q?=20the=20CLI=20=F0=9F=98=8E?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- roboflow/core/workspace.py | 2 + roboflow/util/folderparser.py | 26 +- .../README.dataset.txt | 6 + ...pg.rf.ffb91e580c891eb04b715545274b2469.jpg | Bin 0 -> 36344 bytes ...pg.rf.fdb8e3a6b21d7ff3e7b5190c7d588778.jpg | Bin 0 -> 42235 bytes ...pg.rf.fde9e1486ef1d8a180a7cb05d9397f22.jpg | Bin 0 -> 25906 bytes .../test/_classes.csv | 482 +++ ...pg.rf.340db6cb27bc81747ebd9574193f88dd.jpg | Bin 0 -> 26284 bytes ...pg.rf.eeb0573aea368aa6699a9f9d4748a402.jpg | Bin 0 -> 45508 bytes ...pg.rf.eb38766f1d6ba6c488104e5a91964e04.jpg | Bin 0 -> 22580 bytes ...pg.rf.bfabd51afd937f3cc456f35789d1793b.jpg | Bin 0 -> 31658 bytes .../train/_classes.csv | 3379 +++++++++++++++++ ...pg.rf.5f58057c0d03d635858bd19c57a5a220.jpg | Bin 0 -> 37669 bytes ...pg.rf.606ed093bb23c47b9d416e0d82cb7257.jpg | Bin 0 -> 41278 bytes ...pg.rf.6000c01fdb4b4010869425b66dbabaf6.jpg | Bin 0 -> 23690 bytes .../valid/_classes.csv | 970 +++++ tests/test_project.py | 41 + tests/util/test_folderparser.py | 9 + 18 files changed, 4911 insertions(+), 4 deletions(-) create mode 100644 tests/datasets/skinproblem-multilabel-classification/README.dataset.txt create mode 100644 tests/datasets/skinproblem-multilabel-classification/test/101_jpg.rf.ffb91e580c891eb04b715545274b2469.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/test/252_jpeg_jpg.rf.fdb8e3a6b21d7ff3e7b5190c7d588778.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/test/29-Male-South-Korean-Kang-Song_jpg.rf.fde9e1486ef1d8a180a7cb05d9397f22.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/test/_classes.csv create mode 100644 tests/datasets/skinproblem-multilabel-classification/train/10_jpg.rf.340db6cb27bc81747ebd9574193f88dd.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/train/25_jpg.rf.eeb0573aea368aa6699a9f9d4748a402.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/train/26_jpg.rf.eb38766f1d6ba6c488104e5a91964e04.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/train/9bc0d52c-4c9e-4d61-8cd9-d020e86a22c4_jpg.rf.bfabd51afd937f3cc456f35789d1793b.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/train/_classes.csv create mode 100644 tests/datasets/skinproblem-multilabel-classification/valid/10_jpeg_jpg.rf.5f58057c0d03d635858bd19c57a5a220.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/valid/24_jpg.rf.606ed093bb23c47b9d416e0d82cb7257.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/valid/36-Male-South-Korean-Young-Kwang-Kim_jpg.rf.6000c01fdb4b4010869425b66dbabaf6.jpg create mode 100644 tests/datasets/skinproblem-multilabel-classification/valid/_classes.csv diff --git a/roboflow/core/workspace.py b/roboflow/core/workspace.py index d97096e9..c8225ac5 100644 --- a/roboflow/core/workspace.py +++ b/roboflow/core/workspace.py @@ -364,6 +364,8 @@ def _save_annotation(image_id, imagedesc): if isinstance(annotationdesc, dict): if annotationdesc.get("type") == "classification_folder": annotation_path = annotationdesc.get("classification_label") + elif annotationdesc.get("type") == "classification_multilabel": + annotation_path = json.dumps(annotationdesc.get("labels", [])) elif annotationdesc.get("rawText"): annotation_path = annotationdesc elif annotationdesc.get("file"): diff --git a/roboflow/util/folderparser.py b/roboflow/util/folderparser.py index db326bb1..7cc336bf 100644 --- a/roboflow/util/folderparser.py +++ b/roboflow/util/folderparser.py @@ -194,6 +194,13 @@ def _filterIndividualAnnotations(image, annotation, format, imgRefMap, annotatio return _annotation else: return None + elif format == "multilabel_csv": + rows = [r for r in parsed["rows"] if r["file_name"] == image["name"]] + if rows: + labels = rows[0]["labels"] + return {"type": "classification_multilabel", "labels": labels} + else: + return None elif format == "jsonl": jsonlLines = [json.dumps(line) for line in parsed if line["image"] == image["name"]] if jsonlLines: @@ -218,8 +225,9 @@ def _loadAnnotations(folder, annotations): ann["parsed"] = _read_jsonl(f"{folder}{ann['file']}") ann["parsedType"] = "jsonl" elif extension == ".csv": - ann["parsedType"] = "csv" - ann["parsed"] = _parseAnnotationCSV(f"{folder}{ann['file']}") + parsed = _parseAnnotationCSV(f"{folder}{ann['file']}") + ann["parsed"] = parsed + ann["parsedType"] = parsed.get("type", "csv") return annotations @@ -241,10 +249,20 @@ def _parseAnnotationCSV(filename): # TODO: use a proper CSV library? with open(filename) as f: lines = f.readlines() - headers = lines[0] + headers = [h.strip() for h in lines[0].split(",")] + # Multi-label classification csv typically named _classes.csv + if os.path.basename(filename) == "_classes.csv": + parsed_lines = [] + for line in lines[1:]: + parts = [p.strip() for p in line.split(",")] + file_name = parts[0] + labels = [headers[i] for i, v in enumerate(parts[1:], start=1) if v == "1"] + parsed_lines.append({"file_name": file_name, "labels": labels}) + return {"type": "multilabel_csv", "rows": parsed_lines, "headers": headers} + header_line = lines[0] lines = [{"file_name": ld.split(",")[0].strip(), "line": ld} for ld in lines[1:]] return { - "headers": headers, + "headers": header_line, "lines": lines, } diff --git a/tests/datasets/skinproblem-multilabel-classification/README.dataset.txt b/tests/datasets/skinproblem-multilabel-classification/README.dataset.txt new file mode 100644 index 00000000..29660f0b --- 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capture_annotation_calls(annotation_path, **kwargs): finally: for mock in mocks.values(): mock.stop() + + def test_multilabel_classification_dataset_upload(self): + from roboflow.util import folderparser + + multilabel_folder = "tests/datasets/skinproblem-multilabel-classification" + parsed_dataset = folderparser.parsefolder(multilabel_folder, is_classification=True) + + self.project.type = "classification" + self.project.multilabel = True + annotation_calls = [] + + def capture_annotation_calls(annotation_path, **kwargs): + annotation_calls.append(annotation_path) + return ({"success": True}, 0.1, 0) + + mocks = { + "parser": patch("roboflow.core.workspace.folderparser.parsefolder", return_value=parsed_dataset), + "upload": patch( + "roboflow.core.workspace.Project.upload_image", + return_value=({"id": "test-id", "success": True}, 0.1, 0), + ), + "save_annotation": patch( + "roboflow.core.workspace.Project.save_annotation", side_effect=capture_annotation_calls + ), + "get_project": patch( + "roboflow.core.workspace.Workspace._get_or_create_project", return_value=(self.project, False) + ), + } + for mock in mocks.values(): + mock.start() + try: + self.workspace.upload_dataset(dataset_path=multilabel_folder, project_name=PROJECT_NAME, num_workers=1) + self.assertEqual(len(annotation_calls), len(parsed_dataset["images"])) + for call in annotation_calls: + labels = json.loads(call) + self.assertIsInstance(labels, list) + self.assertGreater(len(labels), 0) + finally: + for mock in mocks.values(): + mock.stop() diff --git a/tests/util/test_folderparser.py b/tests/util/test_folderparser.py index d57be6a7..d3153e19 100644 --- a/tests/util/test_folderparser.py +++ b/tests/util/test_folderparser.py @@ -86,6 +86,15 @@ def test_parse_classification_folder_structure(self): self.assertEqual(img["annotationfile"]["type"], "classification_folder") self.assertEqual(img["annotationfile"]["classification_label"], "no-corrosion") + def test_parse_multilabel_classification_csv(self): + folder = f"{thisdir}/../datasets/multilabel-classification" + parsed = folderparser.parsefolder(folder, is_classification=True) + images = {img["name"]: img for img in parsed["images"]} + img1 = images.get("img1.jpg") + self.assertIsNotNone(img1) + self.assertEqual(img1["annotationfile"]["type"], "classification_multilabel") + self.assertEqual(set(img1["annotationfile"]["labels"]), {"rust"}) + def _assertJsonMatchesFile(actual, filename): with open(filename) as file: From d0070ac359eb314cb18625a20ae8804861d42bc3 Mon Sep 17 00:00:00 2001 From: Tony Lampada Date: Fri, 6 Jun 2025 19:36:04 +0000 Subject: [PATCH 2/4] bump version to 1.1.66 --- roboflow/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/roboflow/__init__.py b/roboflow/__init__.py index 1e6b03fa..1f0dd141 100644 --- a/roboflow/__init__.py +++ b/roboflow/__init__.py @@ -15,7 +15,7 @@ from roboflow.models import CLIPModel, GazeModel # noqa: F401 from roboflow.util.general import write_line -__version__ = "1.1.65" +__version__ = "1.1.66" def check_key(api_key, model, notebook, num_retries=0): From 98204687e389aadd27a568b59d0badc1b872f9e0 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Fri, 6 Jun 2025 19:38:03 +0000 Subject: [PATCH 3/4] =?UTF-8?q?fix(pre=5Fcommit):=20=F0=9F=8E=A8=20auto=20?= =?UTF-8?q?format=20pre-commit=20hooks?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../skinproblem-multilabel-classification/README.dataset.txt | 1 - .../skinproblem-multilabel-classification/test/_classes.csv | 2 +- .../skinproblem-multilabel-classification/train/_classes.csv | 2 +- .../skinproblem-multilabel-classification/valid/_classes.csv | 2 +- tests/test_project.py | 2 +- 5 files changed, 4 insertions(+), 5 deletions(-) diff --git a/tests/datasets/skinproblem-multilabel-classification/README.dataset.txt b/tests/datasets/skinproblem-multilabel-classification/README.dataset.txt index 29660f0b..05e23692 100644 --- a/tests/datasets/skinproblem-multilabel-classification/README.dataset.txt +++ b/tests/datasets/skinproblem-multilabel-classification/README.dataset.txt @@ -3,4 +3,3 @@ https://universe.roboflow.com/parin-kittipongdaja-vwmn3/skin-problem-multilabel Provided by a Roboflow user License: CC BY 4.0 - diff --git a/tests/datasets/skinproblem-multilabel-classification/test/_classes.csv b/tests/datasets/skinproblem-multilabel-classification/test/_classes.csv index 7ad30ec6..3a18fc7b 100644 --- a/tests/datasets/skinproblem-multilabel-classification/test/_classes.csv +++ b/tests/datasets/skinproblem-multilabel-classification/test/_classes.csv @@ -479,4 +479,4 @@ acne-796-_jpeg_jpg.rf.fd873faa9c9a74c645dd2655d7f9e59b.jpg, 1, 0, 0, 0, 0, 0, 0, acne-746-_jpg.rf.fe6e0a5c9343e4b03f8d76172f8cde71.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 acne-559-_jpeg_jpg.rf.ff5d22e66d39a226c7255b806b137713.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 101_jpg.rf.ffb91e580c891eb04b715545274b2469.jpg, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0 -levle1_596_jpg.rf.ff702e81c045c815b8dd2e49c8a87bac.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 \ No newline at end of file +levle1_596_jpg.rf.ff702e81c045c815b8dd2e49c8a87bac.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 diff --git a/tests/datasets/skinproblem-multilabel-classification/train/_classes.csv b/tests/datasets/skinproblem-multilabel-classification/train/_classes.csv index 4dbdfd0d..229a2125 100644 --- a/tests/datasets/skinproblem-multilabel-classification/train/_classes.csv +++ b/tests/datasets/skinproblem-multilabel-classification/train/_classes.csv @@ -3376,4 +3376,4 @@ kering-37-_jpg.rf.ef1f41299555a816bfed3947219db914.jpg, 0, 0, 0, 1, 0, 0, 0, 0, levle1_372_jpg.rf.ef0fd606def5bf1b83c6675a4b799adc.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 levle3_82_jpg.rf.ef2ab12dc54f0d8d30fe11eec60eb09c.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 acne-490-_jpeg_jpg.rf.ef43ef668b3e1b3eba812bb170d3e9e8.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 -243_jpg.rf.ef616044dcda3143e500f8daa398493f.jpg, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 \ No newline at end of file +243_jpg.rf.ef616044dcda3143e500f8daa398493f.jpg, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 diff --git a/tests/datasets/skinproblem-multilabel-classification/valid/_classes.csv b/tests/datasets/skinproblem-multilabel-classification/valid/_classes.csv index ea605c62..f18ac7c3 100644 --- a/tests/datasets/skinproblem-multilabel-classification/valid/_classes.csv +++ b/tests/datasets/skinproblem-multilabel-classification/valid/_classes.csv @@ -967,4 +967,4 @@ acne-49-_jpg.rf.6079e043daf0590544abdd40bb807c34.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, levle0_149_jpg.rf.614e93661ebe56a475130342d694a74b.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 levle1_492_jpg.rf.61955f4930a7e2c82c34410fb9fdd2f8.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 acne-815-_jpeg_jpg.rf.617e704aa9c69ffbe280984d2e8fd266.jpg, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 -182_jpg.rf.615900aae11181ed791be4e62a21eb0d.jpg, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1 \ No newline at end of file +182_jpg.rf.615900aae11181ed791be4e62a21eb0d.jpg, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1 diff --git a/tests/test_project.py b/tests/test_project.py index 1e2fcb62..384e1d3a 100644 --- a/tests/test_project.py +++ b/tests/test_project.py @@ -1,5 +1,5 @@ -from unittest.mock import patch import json +from unittest.mock import patch import requests import responses From e2678d2dfaa39f4b0668a28bb514beaf55bad74d Mon Sep 17 00:00:00 2001 From: Tony Lampada Date: Fri, 6 Jun 2025 19:49:31 +0000 Subject: [PATCH 4/4] fix folderparser test --- tests/util/test_folderparser.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/util/test_folderparser.py b/tests/util/test_folderparser.py index d3153e19..aec5ea44 100644 --- a/tests/util/test_folderparser.py +++ b/tests/util/test_folderparser.py @@ -87,13 +87,13 @@ def test_parse_classification_folder_structure(self): self.assertEqual(img["annotationfile"]["classification_label"], "no-corrosion") def test_parse_multilabel_classification_csv(self): - folder = f"{thisdir}/../datasets/multilabel-classification" + folder = f"{thisdir}/../datasets/skinproblem-multilabel-classification" parsed = folderparser.parsefolder(folder, is_classification=True) images = {img["name"]: img for img in parsed["images"]} - img1 = images.get("img1.jpg") + img1 = images.get("101_jpg.rf.ffb91e580c891eb04b715545274b2469.jpg") self.assertIsNotNone(img1) self.assertEqual(img1["annotationfile"]["type"], "classification_multilabel") - self.assertEqual(set(img1["annotationfile"]["labels"]), {"rust"}) + self.assertEqual(set(img1["annotationfile"]["labels"]), {"Blackheads"}) def _assertJsonMatchesFile(actual, filename):