roboflow/supervision 0.13.0

supervision-0.13.0

on GitHub

>>> import supervision as sv
>>> from ultralytics import YOLO

>>> dataset = sv.DetectionDataset.from_yolo(...)

>>> model = YOLO(...)
>>> def callback(image: np.ndarray) -> sv.Detections:
...     result = model(image)[0]
...     return sv.Detections.from_yolov8(result)

>>> mean_average_precision = sv.MeanAveragePrecision.benchmark(
...     dataset = dataset,
...     callback = callback
... )

>>> mean_average_precision.map50_95
0.433

>>> import supervision as sv
>>> from ultralytics import YOLO

>>> model = YOLO(...)
>>> byte_tracker = sv.ByteTrack()
>>> annotator = sv.BoxAnnotator()

>>> def callback(frame: np.ndarray, index: int) -> np.ndarray:
...     results = model(frame)[0]
...     detections = sv.Detections.from_yolov8(results)
...     detections = byte_tracker.update_from_detections(detections=detections)
...     labels = [
...         f"#{tracker_id} {model.model.names[class_id]} {confidence:0.2f}"
...         for _, _, confidence, class_id, tracker_id
...         in detections
...     ]
...     return annotator.annotate(scene=frame.copy(), detections=detections, labels=labels)

>>> sv.process_video(
...     source_path='...',
...     target_path='...',
...     callback=callback
... )