fix(pre_commit): 🎨 auto format pre-commit hooks
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@@ -63,6 +63,6 @@ def callback(frame: np.ndarray, index: int) -> np.ndarray:
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return trace_annotator.annotate(scene=frame, detections=detections)
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sv.process_video(source_path=VIDEO_PATH, target_path=f"result.mp4", callback=process_frame)
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```
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Check out this [video](https://drive.google.com/file/d/10xaHXz9rpdXkaRni9YzOihhF3S7-Zs4p/view?usp=sharing) to see the end results.
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Check out this [video](https://drive.google.com/file/d/10xaHXz9rpdXkaRni9YzOihhF3S7-Zs4p/view?usp=sharing) to see the end results.
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### Conclusion and further ideas
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This brings us to the end of the tutorial. The users are strongly encouraged to try out other models for detection and play around with annotators. Check out this [post](https://blog.roboflow.com/yolov8-tracking-and-counting/#object-tracking-with-bytetrack)("Piotr Skalski." Roboflow Blog, Feb 1, 2023. https://blog.roboflow.com/yolov8-tracking-and-counting/) for some more cool stuff. The post was quite useful creation of this tutorial.
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