From ab06805876d352dab6813deafd7f65c734bbdb33 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Tue, 23 Jun 2026 10:02:38 -0300 Subject: [PATCH 01/15] add YOLO plugin --- plugins.toml | 8 + plugins/yolo_object_detection/LICENSE | 201 ++++++++++++++++++ plugins/yolo_object_detection/Makefile | 13 ++ plugins/yolo_object_detection/pyproject.toml | 20 ++ .../__init__.py | 1 + .../operator.py | 184 ++++++++++++++++ 6 files changed, 427 insertions(+) create mode 100644 plugins/yolo_object_detection/LICENSE create mode 100644 plugins/yolo_object_detection/Makefile create mode 100644 plugins/yolo_object_detection/pyproject.toml create mode 100644 plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/__init__.py create mode 100644 plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py diff --git a/plugins.toml b/plugins.toml index d39bd7b..bbcdc98 100644 --- a/plugins.toml +++ b/plugins.toml @@ -22,6 +22,14 @@ source = "local:plugins/lightly_train_object_detection_inference" maintainer = "lightly" tags = ["auto-labeling", "object-detection", "inference"] +[[plugins]] +id = "lightly_plugins_yolo_object_detection" +name = "YOLO Object Detection" +description = "Runs YOLO inference and adds bounding box annotations to a single image or the current filtered image view" +source = "local:plugins/yolo_object_detection" +maintainer = "lightly" +tags = ["auto-labeling", "object-detection", "inference"] + [[plugins]] id = "lightly_plugins_kitti_export_object_detection" name = "KITTI object detection export" diff --git a/plugins/yolo_object_detection/LICENSE b/plugins/yolo_object_detection/LICENSE new file mode 100644 index 0000000..f49a4e1 --- /dev/null +++ b/plugins/yolo_object_detection/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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b/plugins/yolo_object_detection/Makefile @@ -0,0 +1,13 @@ +.PHONY: install format type-check + +install: + uv venv + uv pip install -r ../../dev-requirements.txt + uv pip install -e . + +format: + uv run ruff format . + uv run ruff check --fix . + +type-check: + uv run mypy --config-file ../../mypy.ini . diff --git a/plugins/yolo_object_detection/pyproject.toml b/plugins/yolo_object_detection/pyproject.toml new file mode 100644 index 0000000..23f51ca --- /dev/null +++ b/plugins/yolo_object_detection/pyproject.toml @@ -0,0 +1,20 @@ +[project] +name = "lightly_plugins_yolo_object_detection" +version = "0.1.0" +description = "YOLO inference operator for object detection auto-labeling" +requires-python = ">=3.9" +dependencies = [ + "lightly_studio>=0.4.13", + "sqlmodel", + "ultralytics", +] + +[project.entry-points."lightly_studio.plugins"] +yolo_object_detection = "lightly_plugins_yolo_object_detection.operator:YoloObjectDetectionOperator" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/lightly_plugins_yolo_object_detection"] diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/__init__.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/__init__.py new file mode 100644 index 0000000..61fdb3a --- /dev/null +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/__init__.py @@ -0,0 +1 @@ +"""YOLO object detection plugin for Lightly Studio.""" diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py new file mode 100644 index 0000000..0870084 --- /dev/null +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -0,0 +1,184 @@ +"""YOLO inference operator for object detection auto-labeling.""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any +from uuid import UUID + +from sqlmodel import Session + +from lightly_studio.models.annotation.annotation_base import ( + AnnotationCreate, + AnnotationType, +) +from lightly_studio.models.annotation_label import AnnotationLabelCreate +from lightly_studio.plugins.base_operator import BaseOperator, OperatorResult +from lightly_studio.plugins.operator_context import ExecutionContext, OperatorScope +from lightly_studio.plugins.parameter import ( + BaseParameter, + FloatParameter, + StringParameter, +) +from lightly_studio.resolvers import ( + annotation_label_resolver, + annotation_resolver, + collection_resolver, + image_resolver, +) +from lightly_studio.resolvers.image_filter import ImageFilter +from lightly_studio.resolvers.sample_resolver.sample_filter import SampleFilter + +DEFAULT_MODEL = "yolov8n.pt" +DEFAULT_CONFIDENCE = 0.25 + +PARAM_MODEL = "model_path" +PARAM_CONFIDENCE = "confidence" + + +@dataclass +class YoloObjectDetectionOperator(BaseOperator): + """Runs YOLO inference to auto-label images with bounding box annotations.""" + + name: str = "YOLO Object Detection" + description: str = ( + "Runs YOLO inference and adds bounding box annotations to unlabeled images." + ) + + @property + def parameters(self) -> list[BaseParameter]: + """Return the list of parameters this operator expects.""" + return [ + StringParameter( + name=PARAM_MODEL, + required=True, + default=DEFAULT_MODEL, + description="YOLO model weights path or Ultralytics model name (e.g. yolov8n.pt).", + ), + FloatParameter( + name=PARAM_CONFIDENCE, + required=True, + default=DEFAULT_CONFIDENCE, + description="Minimum confidence threshold for keeping a prediction.", + ), + ] + + @property + def supported_scopes(self) -> list[OperatorScope]: + """Return the list of scopes this operator can be triggered from.""" + return [OperatorScope.IMAGE] + + def execute( + self, + *, + session: Session, + context: ExecutionContext, + parameters: dict[str, Any], + ) -> OperatorResult: + """Execute the operator with the given parameters.""" + from ultralytics import YOLO + + model_path = str(parameters.get(PARAM_MODEL, DEFAULT_MODEL)) + confidence = float(parameters.get(PARAM_CONFIDENCE, DEFAULT_CONFIDENCE)) + + if not 0.0 <= confidence <= 1.0: + return OperatorResult( + success=False, + message="confidence must be between 0 and 1", + ) + + model = YOLO(model_path) + label_map = _get_or_create_label_map( + session=session, + root_collection_id=context.collection_id, + class_map=model.names, + ) + + context_filter = None + if context.context_filter: + if isinstance(context.context_filter, SampleFilter): + context_filter = ImageFilter(sample_filter=context.context_filter) + elif isinstance(context.context_filter, ImageFilter): + context_filter = context.context_filter + + samples_result = image_resolver.get_all_by_collection_id( + session=session, + collection_id=context.collection_id, + filters=context_filter, + ) + samples = list(samples_result.samples) + if not samples: + return OperatorResult( + success=True, + message="No samples found for current view.", + ) + + annotations_to_create: list[AnnotationCreate] = [] + for image_entry in samples: + results = model(image_entry.file_path_abs, conf=confidence, verbose=False)[0] + for box in results.boxes: + category_id = int(box.cls) + label_id = label_map.get(category_id) + if label_id is None: + continue + x_center, y_center, w, h = box.xywh[0].tolist() + annotations_to_create.append( + AnnotationCreate( + annotation_label_id=label_id, + annotation_type=AnnotationType.OBJECT_DETECTION, + parent_sample_id=image_entry.sample_id, + x=round(x_center - w / 2), + y=round(y_center - h / 2), + width=round(w), + height=round(h), + confidence=float(box.conf), + ) + ) + + if annotations_to_create: + annotation_resolver.create_many( + session=session, + parent_collection_id=context.collection_id, + annotations=annotations_to_create, + collection_name=f"yolo_auto_label__{model_path}", + ) + + return OperatorResult( + success=True, + message=f"Auto-labeled {len(samples)} samples.", + ) + + +def _get_or_create_label_map( + *, + session: Session, + root_collection_id: UUID, + class_map: dict[int, str], +) -> dict[int, UUID]: + """Ensure labels exist for all class names and return {category_id: label_id}.""" + collection = collection_resolver.get_by_id( + session=session, + collection_id=root_collection_id, + ) + if collection is None: + raise ValueError(f"Collection {root_collection_id} doesn't exist") + dataset_id = collection.dataset_id + + label_map: dict[int, UUID] = {} + for category_id, label_name in class_map.items(): + label = annotation_label_resolver.get_by_label_name( + session=session, + dataset_id=dataset_id, + label_name=label_name, + ) + if label is None: + label = annotation_label_resolver.create( + session=session, + label=AnnotationLabelCreate( + dataset_id=dataset_id, + annotation_label_name=label_name, + ), + ) + label_map[category_id] = label.annotation_label_id + + return label_map From 5a241c4572ae174e5f5336fe680367835194b363 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Tue, 23 Jun 2026 10:10:33 -0300 Subject: [PATCH 02/15] format files --- .../operator.py | 4 +- plugins/yolo_object_detection/uv.lock | 5806 +++++++++++++++++ 2 files changed, 5809 insertions(+), 1 deletion(-) create mode 100644 plugins/yolo_object_detection/uv.lock diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index 0870084..98c5e0d 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -115,7 +115,9 @@ def execute( annotations_to_create: list[AnnotationCreate] = [] for image_entry in samples: - results = model(image_entry.file_path_abs, conf=confidence, verbose=False)[0] + results = model(image_entry.file_path_abs, conf=confidence, verbose=False)[ + 0 + ] for box in results.boxes: category_id = int(box.cls) label_id = label_map.get(category_id) diff --git a/plugins/yolo_object_detection/uv.lock b/plugins/yolo_object_detection/uv.lock new file mode 100644 index 0000000..7b1ce15 --- /dev/null +++ b/plugins/yolo_object_detection/uv.lock @@ -0,0 +1,5806 @@ +version = 1 +revision = 3 +requires-python = ">=3.9" +resolution-markers = [ + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.10.*' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'win32'", + "python_full_version == '3.10.*' and sys_platform != 'win32'", + "python_full_version < '3.10' and sys_platform == 'win32'", + 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files changed, 56 insertions(+) create mode 100644 plugins/yolo_object_detection/README.md diff --git a/README.md b/README.md index 646cbd0..a87bb72 100644 --- a/README.md +++ b/README.md @@ -103,6 +103,28 @@ Each plugin entry below includes the exact copy-paste install command. After ins +- [YOLO object detection](plugins/yolo_object_detection/) + Runs YOLO inference and adds bounding box annotations to unlabeled images. + +
+ Details + + Uses [Ultralytics YOLO](https://docs.ultralytics.com/) models for object detection auto-labeling. + Supports any Ultralytics model name or a path to a custom checkpoint. + + - Scope: single image or images in the current view + - Input: YOLO model name or local path to a YOLO checkpoint + - Output: object detection annotations + - Labels: class labels are read from the loaded model and created in the + dataset if they do not exist yet + - Recommended models: + `yolov8n.pt` for speed, `yolov8s.pt` or `yolov8m.pt` for better accuracy + - Maintainer: Lightly + - Install: + `pip install git+https://github.com/lightly-ai/lightly-studio-plugins.git#subdirectory=plugins/yolo_object_detection/` + +
+ - [KITTI object detection export](plugins/kitti_export_object_detection/) Exports KITTI object-detection label files. diff --git a/plugins/yolo_object_detection/README.md b/plugins/yolo_object_detection/README.md new file mode 100644 index 0000000..91468ee --- /dev/null +++ b/plugins/yolo_object_detection/README.md @@ -0,0 +1,34 @@ +# YOLO Object Detection Plugin + +Auto-labeling with [Ultralytics YOLO](https://docs.ultralytics.com/) models. Runs YOLO inference and adds bounding box annotations to images in Lightly Studio. + +## Setup + +### 1. Install the plugin + +```bash +uv pip install "git+https://github.com/lightly-ai/lightly-studio-plugins.git#subdirectory=plugins/yolo_object_detection/" +``` + +### 2. GPU (optional) + +By default the plugin runs on CUDA if available. To use a CUDA GPU, reinstall PyTorch with the appropriate CUDA build: + +```bash +uv pip install torch --index-url https://download.pytorch.org/whl/cu121 +``` + +If CUDA is not available, the plugin will run on CPU automatically. + +## Parameters + +| Parameter | Type | Default | Description | +|---|---|---|---| +| `model_path` | string | `"yolov8n.pt"` | YOLO model weights path or Ultralytics model name (e.g. `yolov8s.pt`, `yolov8m.pt`, `/path/to/custom.pt`) | +| `confidence` | float | `0.25` | Minimum confidence threshold for keeping a prediction | + +## Notes + +- Labels are read from the loaded model and created in the dataset if they do not exist yet. +- Annotations are stored in a collection named `yolo_auto_label__{model_path}`. +- Ultralytics model weights are downloaded automatically on first use. From 60dfa95739591cc52bd3554ce823bbc81c7f5c69 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Tue, 23 Jun 2026 10:26:32 -0300 Subject: [PATCH 04/15] improve error handle --- .../operator.py | 38 ++++++++++++++++--- 1 file changed, 33 insertions(+), 5 deletions(-) diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index 98c5e0d..169fb98 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -2,6 +2,7 @@ from __future__ import annotations +import logging from dataclasses import dataclass from typing import Any from uuid import UUID @@ -29,6 +30,8 @@ from lightly_studio.resolvers.image_filter import ImageFilter from lightly_studio.resolvers.sample_resolver.sample_filter import SampleFilter +logger = logging.getLogger(__name__) + DEFAULT_MODEL = "yolov8n.pt" DEFAULT_CONFIDENCE = 0.25 @@ -79,7 +82,14 @@ def execute( from ultralytics import YOLO model_path = str(parameters.get(PARAM_MODEL, DEFAULT_MODEL)) - confidence = float(parameters.get(PARAM_CONFIDENCE, DEFAULT_CONFIDENCE)) + try: + confidence = float(parameters.get(PARAM_CONFIDENCE, DEFAULT_CONFIDENCE)) + except (TypeError, ValueError) as e: + logger.error("Invalid confidence value: %s", e) + return OperatorResult( + success=False, + message=f"Invalid confidence value: {e}", + ) if not 0.0 <= confidence <= 1.0: return OperatorResult( @@ -87,7 +97,14 @@ def execute( message="confidence must be between 0 and 1", ) - model = YOLO(model_path) + try: + model = YOLO(model_path) + except Exception as e: + logger.error("Failed to load YOLO model '%s': %s", model_path, e) + return OperatorResult( + success=False, + message=f"Failed to load YOLO model '{model_path}': {e}", + ) label_map = _get_or_create_label_map( session=session, root_collection_id=context.collection_id, @@ -115,9 +132,20 @@ def execute( annotations_to_create: list[AnnotationCreate] = [] for image_entry in samples: - results = model(image_entry.file_path_abs, conf=confidence, verbose=False)[ - 0 - ] + try: + results = model( + image_entry.file_path_abs, conf=confidence, verbose=False + )[0] + except Exception as e: + logger.error( + "Failed to run inference on '%s': %s", + image_entry.file_path_abs, + e, + ) + return OperatorResult( + success=False, + message=f"Failed to run inference on '{image_entry.file_path_abs}': {e}", + ) for box in results.boxes: category_id = int(box.cls) label_id = label_map.get(category_id) From af0eda19d1dce80ef8cca922f075ed7f66b386fa Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Tue, 23 Jun 2026 10:29:16 -0300 Subject: [PATCH 05/15] bulk insert --- .../operator.py | 16 ++++++++++++++-- 1 file changed, 14 insertions(+), 2 deletions(-) diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index 169fb98..c841b6a 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -38,6 +38,8 @@ PARAM_MODEL = "model_path" PARAM_CONFIDENCE = "confidence" +_WRITE_BATCH_SIZE = 100 + @dataclass class YoloObjectDetectionOperator(BaseOperator): @@ -130,8 +132,9 @@ def execute( message="No samples found for current view.", ) + collection_name = f"yolo_auto_label__{model_path}" annotations_to_create: list[AnnotationCreate] = [] - for image_entry in samples: + for i, image_entry in enumerate(samples, start=1): try: results = model( image_entry.file_path_abs, conf=confidence, verbose=False @@ -165,12 +168,21 @@ def execute( ) ) + if i % _WRITE_BATCH_SIZE == 0 and annotations_to_create: + annotation_resolver.create_many( + session=session, + parent_collection_id=context.collection_id, + annotations=annotations_to_create, + collection_name=collection_name, + ) + annotations_to_create = [] + if annotations_to_create: annotation_resolver.create_many( session=session, parent_collection_id=context.collection_id, annotations=annotations_to_create, - collection_name=f"yolo_auto_label__{model_path}", + collection_name=collection_name, ) return OperatorResult( From 24da532a9da461e7405733189fcfe37250fb8fb2 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Tue, 23 Jun 2026 10:30:10 -0300 Subject: [PATCH 06/15] clamp width and height --- .../src/lightly_plugins_yolo_object_detection/operator.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index c841b6a..defabfd 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -162,8 +162,8 @@ def execute( parent_sample_id=image_entry.sample_id, x=round(x_center - w / 2), y=round(y_center - h / 2), - width=round(w), - height=round(h), + width=max(1, round(w)), + height=max(1, round(h)), confidence=float(box.conf), ) ) From 7cec7daa415763eb3bcb00d15661f0e0b9c20b93 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Tue, 23 Jun 2026 10:31:01 -0300 Subject: [PATCH 07/15] format files --- .../src/lightly_plugins_yolo_object_detection/operator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index defabfd..f83a88f 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -81,7 +81,7 @@ def execute( parameters: dict[str, Any], ) -> OperatorResult: """Execute the operator with the given parameters.""" - from ultralytics import YOLO + from ultralytics import YOLO # type: ignore[attr-defined] model_path = str(parameters.get(PARAM_MODEL, DEFAULT_MODEL)) try: From 43002d5e1828a373a5d9bde6f2f958c428a71993 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Tue, 23 Jun 2026 10:32:22 -0300 Subject: [PATCH 08/15] remove uv.lock --- plugins/yolo_object_detection/uv.lock | 5806 ------------------------- 1 file changed, 5806 deletions(-) delete mode 100644 plugins/yolo_object_detection/uv.lock diff --git a/plugins/yolo_object_detection/uv.lock b/plugins/yolo_object_detection/uv.lock deleted file mode 100644 index 7b1ce15..0000000 --- a/plugins/yolo_object_detection/uv.lock +++ /dev/null @@ -1,5806 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.9" -resolution-markers = [ - 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Defaults to yolo_auto_label__{model_path}.", + ), ] @property @@ -84,6 +90,9 @@ def execute( from ultralytics import YOLO # type: ignore[attr-defined] model_path = str(parameters.get(PARAM_MODEL, DEFAULT_MODEL)) + collection_name = str( + parameters.get(PARAM_ANNOTATION_SOURCE, f"yolo_auto_label__{model_path}") + ) try: confidence = float(parameters.get(PARAM_CONFIDENCE, DEFAULT_CONFIDENCE)) except (TypeError, ValueError) as e: @@ -132,7 +141,6 @@ def execute( message="No samples found for current view.", ) - collection_name = f"yolo_auto_label__{model_path}" annotations_to_create: list[AnnotationCreate] = [] for i, image_entry in enumerate(samples, start=1): try: From 8d69bd14b668bed3a111a98982b73f0a8d597b06 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Wed, 24 Jun 2026 06:45:38 -0300 Subject: [PATCH 10/15] move import to the top --- .../src/lightly_plugins_yolo_object_detection/operator.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index 17c25e7..8bba4a5 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -8,6 +8,7 @@ from uuid import UUID from sqlmodel import Session +from ultralytics import YOLO # type: ignore[attr-defined] from lightly_studio.models.annotation.annotation_base import ( AnnotationCreate, @@ -87,8 +88,6 @@ def execute( parameters: dict[str, Any], ) -> OperatorResult: """Execute the operator with the given parameters.""" - from ultralytics import YOLO # type: ignore[attr-defined] - model_path = str(parameters.get(PARAM_MODEL, DEFAULT_MODEL)) collection_name = str( parameters.get(PARAM_ANNOTATION_SOURCE, f"yolo_auto_label__{model_path}") From a552bf31d3a725b80a2bfaab5bf5a0845f922280 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Wed, 24 Jun 2026 06:47:51 -0300 Subject: [PATCH 11/15] remove unused guardrail --- .../lightly_plugins_yolo_object_detection/operator.py | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index 8bba4a5..802b9e7 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -92,14 +92,7 @@ def execute( collection_name = str( parameters.get(PARAM_ANNOTATION_SOURCE, f"yolo_auto_label__{model_path}") ) - try: - confidence = float(parameters.get(PARAM_CONFIDENCE, DEFAULT_CONFIDENCE)) - except (TypeError, ValueError) as e: - logger.error("Invalid confidence value: %s", e) - return OperatorResult( - success=False, - message=f"Invalid confidence value: {e}", - ) + confidence = float(parameters.get(PARAM_CONFIDENCE, DEFAULT_CONFIDENCE)) if not 0.0 <= confidence <= 1.0: return OperatorResult( From 7441cc6d12a449275119e4644539c10db1badc9e Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Wed, 24 Jun 2026 07:23:54 -0300 Subject: [PATCH 12/15] add total of annotations created --- .../lightly_plugins_yolo_object_detection/operator.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index 802b9e7..f641e26 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -134,6 +134,7 @@ def execute( ) annotations_to_create: list[AnnotationCreate] = [] + total_annotations_created = 0 for i, image_entry in enumerate(samples, start=1): try: results = model( @@ -169,25 +170,27 @@ def execute( ) if i % _WRITE_BATCH_SIZE == 0 and annotations_to_create: - annotation_resolver.create_many( + created = annotation_resolver.create_many( session=session, parent_collection_id=context.collection_id, annotations=annotations_to_create, collection_name=collection_name, ) + total_annotations_created += len(created) annotations_to_create = [] if annotations_to_create: - annotation_resolver.create_many( + created = annotation_resolver.create_many( session=session, parent_collection_id=context.collection_id, annotations=annotations_to_create, collection_name=collection_name, ) + total_annotations_created += len(created) return OperatorResult( success=True, - message=f"Auto-labeled {len(samples)} samples.", + message=f"Auto-labeled {len(samples)} samples with {total_annotations_created} annotations.", ) From ebced945d6da6449b31908fa493886694b1b9882 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Wed, 24 Jun 2026 07:28:58 -0300 Subject: [PATCH 13/15] use studio >= 1.0.0 --- plugins/yolo_object_detection/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/plugins/yolo_object_detection/pyproject.toml b/plugins/yolo_object_detection/pyproject.toml index 23f51ca..e8f7ef8 100644 --- a/plugins/yolo_object_detection/pyproject.toml +++ b/plugins/yolo_object_detection/pyproject.toml @@ -4,7 +4,7 @@ version = "0.1.0" description = "YOLO inference operator for object detection auto-labeling" requires-python = ">=3.9" dependencies = [ - "lightly_studio>=0.4.13", + "lightly_studio>=1.0.0", "sqlmodel", "ultralytics", ] From adb30de8aca33c82a2fb5a96efbe901f0acf9916 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Wed, 24 Jun 2026 07:41:58 -0300 Subject: [PATCH 14/15] remove GPU step --- plugins/yolo_object_detection/README.md | 15 +++------------ 1 file changed, 3 insertions(+), 12 deletions(-) diff --git a/plugins/yolo_object_detection/README.md b/plugins/yolo_object_detection/README.md index 91468ee..a18d3b4 100644 --- a/plugins/yolo_object_detection/README.md +++ b/plugins/yolo_object_detection/README.md @@ -4,31 +4,22 @@ Auto-labeling with [Ultralytics YOLO](https://docs.ultralytics.com/) models. Run ## Setup -### 1. Install the plugin +### Install the plugin ```bash uv pip install "git+https://github.com/lightly-ai/lightly-studio-plugins.git#subdirectory=plugins/yolo_object_detection/" ``` -### 2. GPU (optional) - -By default the plugin runs on CUDA if available. To use a CUDA GPU, reinstall PyTorch with the appropriate CUDA build: - -```bash -uv pip install torch --index-url https://download.pytorch.org/whl/cu121 -``` - -If CUDA is not available, the plugin will run on CPU automatically. - ## Parameters | Parameter | Type | Default | Description | |---|---|---|---| | `model_path` | string | `"yolov8n.pt"` | YOLO model weights path or Ultralytics model name (e.g. `yolov8s.pt`, `yolov8m.pt`, `/path/to/custom.pt`) | | `confidence` | float | `0.25` | Minimum confidence threshold for keeping a prediction | +| `annotation_source` | string | `"yolo_auto_label__{model_path}"` | Target annotation source name where predictions will be stored | ## Notes - Labels are read from the loaded model and created in the dataset if they do not exist yet. -- Annotations are stored in a collection named `yolo_auto_label__{model_path}`. +- Annotations are stored in a collection named `yolo_auto_label__{model_path}` by default, configurable via `annotation_source`. - Ultralytics model weights are downloaded automatically on first use. From 4b31b2da8f780e8f46f3c7c0b24d649f349518e3 Mon Sep 17 00:00:00 2001 From: LeonardoRosaa Date: Wed, 24 Jun 2026 12:12:04 -0300 Subject: [PATCH 15/15] validate collection name --- .../src/lightly_plugins_yolo_object_detection/operator.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py index f641e26..e2a532f 100644 --- a/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py +++ b/plugins/yolo_object_detection/src/lightly_plugins_yolo_object_detection/operator.py @@ -89,8 +89,11 @@ def execute( ) -> OperatorResult: """Execute the operator with the given parameters.""" model_path = str(parameters.get(PARAM_MODEL, DEFAULT_MODEL)) - collection_name = str( - parameters.get(PARAM_ANNOTATION_SOURCE, f"yolo_auto_label__{model_path}") + _annotation_source = parameters.get(PARAM_ANNOTATION_SOURCE) + collection_name = ( + str(_annotation_source).strip() + if _annotation_source is not None and str(_annotation_source).strip() + else f"yolo_auto_label__{model_path}" ) confidence = float(parameters.get(PARAM_CONFIDENCE, DEFAULT_CONFIDENCE))