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When the predicted object number is less than GT object number, this line will lead to a error: https://github.com/davisvideochallenge/davis2017-evaluation/blob/master/davis2017/evaluation.py#L30
So I think the one-hot conversion for result masks should use the GT object number instead of the result object number.
Thanks.
The text was updated successfully, but these errors were encountered:
Or you can fill the missing object masks with zero.
Sorry, something went wrong.
Added zero padding for missing objects in semi-supervised #1
53be32c
Thanks for pointing this out, it should be now fixed.
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When the predicted object number is less than GT object number, this line will lead to a error:
https://github.com/davisvideochallenge/davis2017-evaluation/blob/master/davis2017/evaluation.py#L30
So I think the one-hot conversion for result masks should use the GT object number instead of the result object number.
Thanks.
The text was updated successfully, but these errors were encountered: