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Functions1,714 in github.com/roboflow/supervision

⨍ Functions 1,714◇ Types & classes 220↳ Endpoints 53

Functionvalidate_mask

(mask: Any, n: int)

src/supervision/validators/__init__.py:80

Functionvalidate_resolution

(resolution: Any)

src/supervision/validators/__init__.py:362

Functionvalidate_tracker_id

(tracker_id: Any, n: int)

src/supervision/validators/__init__.py:187

Functionvalidate_vlm_parameters

(vlm: VLM | str, result: Any, kwargs: dict[str, Any])

src/supervision/detection/vlm.py:211

Functionvalidate_xy

(xy: Any, n: int, m: int)

src/supervision/validators/__init__.py:232

Functionvalidate_xyxy

src/supervision/validators/__init__.py:33

Performs non-max suppression on the keypoint detections. Bounding boxes are derived from valid keypoints of each skeleton, and standa

src/supervision/key_points/core.py:1136

Methodworsen_ideal_conf_matrix

(conf_matrix: np.ndarray, class_ids: np.ndarray | list)

tests/metrics/test_detection.py:165

Functionwrapper

(*args: Any, **kwargs: Any)

src/supervision/utils/internal.py:104

Functionwrapper

(self: Any, scene: ImageType, *args: Any, **kwargs: Any)

src/supervision/utils/conversion.py:28

Functionwriter_thread

(video_sink: VideoSink)

src/supervision/utils/video.py:378

Functionyolo_dataset_structure

Synthetic YOLO-format dataset for testing confusion matrix and detection metrics. Configuration: - 20 images - 640x640 resolution

tests/metrics/conftest.py:179

Functionyolo_dataset_two_classes

Synthetic YOLO-format dataset for testing mAR and binary classification metrics. Configuration: - 15 images - 640x640 resolution

tests/metrics/conftest.py:203

Functionyolo_mask_round_trip_sample

Create a minimal YOLO segmentation sample for round-trip mask tests.

tests/dataset/formats/test_yolo.py:443

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