Limitations and Considerations

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Limitations and Considerations

ML tracking is currently slower than traditional methods, as it processes the full frame to generate dense motion data. Its effectiveness can also vary depending on how closely the footage aligns with the model’s training data. It is not designed for scenes involving large non-rigid deformations or significant shape changes between frames.

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