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First of all, I'd like to congratulate about this repo, we've found this very useful. While training TSM, we've discovered that the parameter is_shift is by default false. Also, the import there cannot be resolved since the original make_temporal_shift code is not integrated into this repo.
Without is_shift enabled, does that mean that we're using a vanilla 2D Resnet50 and averaging the output of every input image in the sequence? Am I missing anything? The original contribution of TSM was this special temporal shift in the internal feature maps of any 2D CNN model.
Thanks in advance.
The text was updated successfully, but these errors were encountered:
We are glad that you found this repo useful. Thanks for pointing out the issue. We have integrated the original make_temporal_shift and non_local code in the repo. Please let us know if this resolves your issue.
Hi,
First of all, I'd like to congratulate about this repo, we've found this very useful. While training TSM, we've discovered that the parameter
is_shift
is by defaultfalse
. Also, the import there cannot be resolved since the originalmake_temporal_shift
code is not integrated into this repo.Without
is_shift
enabled, does that mean that we're using a vanilla 2D Resnet50 and averaging the output of every input image in the sequence? Am I missing anything? The original contribution of TSM was this special temporal shift in the internal feature maps of any 2D CNN model.Thanks in advance.
The text was updated successfully, but these errors were encountered: