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Is there a parameter in the code that can control the tracking accuracy of the video predictor and reduce the false positives (FP)?
I've noticed that when SAM2 loses track of a target, it sometimes predicts a mask that covers the entire image instead.
The text was updated successfully, but these errors were encountered:
Is there a parameter in the code that can control the tracking accuracy of the video predictor and reduce the false positives (FP)?
I've noticed that when SAM2 loses track of a target, it sometimes predicts a mask that covers the entire image instead.
The text was updated successfully, but these errors were encountered: