84 lines
2.5 KiB
Python
84 lines
2.5 KiB
Python
import argparse
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from tqdm import tqdm
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from ultralytics import YOLO
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import supervision as sv
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def process_video(
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source_weights_path: str,
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source_video_path: str,
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target_video_path: str,
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confidence_threshold: float = 0.3,
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iou_threshold: float = 0.7,
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) -> None:
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model = YOLO(source_weights_path)
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tracker = sv.ByteTrack()
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box_annotator = sv.BoundingBoxAnnotator()
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label_annotator = sv.LabelAnnotator(classes=model.names)
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frame_generator = sv.get_video_frames_generator(source_path=source_video_path)
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video_info = sv.VideoInfo.from_video_path(video_path=source_video_path)
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with sv.VideoSink(target_path=target_video_path, video_info=video_info) as sink:
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for frame in tqdm(frame_generator, total=video_info.total_frames):
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results = model(
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frame, verbose=False, conf=confidence_threshold, iou=iou_threshold
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)[0]
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detections = sv.Detections.from_ultralytics(results)
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detections = tracker.update_with_detections(detections)
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annotated_frame = box_annotator.annotate(
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scene=frame.copy(), detections=detections
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)
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annotated_labeled_frame = label_annotator.annotate(
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scene=annotated_frame, detections=detections
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)
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sink.write_frame(frame=annotated_labeled_frame)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Video Processing with YOLO and ByteTrack"
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)
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parser.add_argument(
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"--source_weights_path",
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required=True,
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help="Path to the source weights file",
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type=str,
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)
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parser.add_argument(
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"--source_video_path",
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required=True,
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help="Path to the source video file",
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type=str,
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)
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parser.add_argument(
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"--target_video_path",
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required=True,
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help="Path to the target video file (output)",
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type=str,
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)
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parser.add_argument(
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"--confidence_threshold",
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default=0.3,
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help="Confidence threshold for the model",
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type=float,
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)
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parser.add_argument(
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"--iou_threshold", default=0.7, help="IOU threshold for the model", type=float
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)
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args = parser.parse_args()
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process_video(
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source_weights_path=args.source_weights_path,
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source_video_path=args.source_video_path,
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target_video_path=args.target_video_path,
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confidence_threshold=args.confidence_threshold,
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iou_threshold=args.iou_threshold,
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)
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