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I note that the drag_gan function at draggan.py have a parameter "mask", and it did not use.
And # if mask is not None: # loss += ((F - F0) * (1 - mask)).abs().mean() * lam has been mask“#”
# if mask is not None: # loss += ((F - F0) * (1 - mask)).abs().mean() * lam
The text was updated successfully, but these errors were encountered:
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I note that the drag_gan function at draggan.py have a parameter "mask", and it did not use.
And
# if mask is not None: # loss += ((F - F0) * (1 - mask)).abs().mean() * lam
has been mask“#”
The text was updated successfully, but these errors were encountered: