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Poor result with pre-trained model LIP_best.pth #16

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maguro27 opened this issue Jan 6, 2021 · 1 comment
Open

Poor result with pre-trained model LIP_best.pth #16

maguro27 opened this issue Jan 6, 2021 · 1 comment

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@maguro27
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maguro27 commented Jan 6, 2021 •
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I also encountered the issue as well as liutinglt/CE2P#34.
However, this issue does not provide a solution.
I do not change the part of weight loading and it does not output any error messages.
How do I fix it?
Note that I referred to the CE2P repository (https://github.com/liutinglt/CE2P) so that exchange ABN for PyTorch ver 0.x to ABN for PyTorch ver 1.x.

The output of the network goes from about -0.02 to 0.03. Is it collect?
The network generates a poor result though I exchanged ABN to BN.
Thanks.

--My environment--
GPU: Tesla V100
PyTorch: 1.6
CUDA: 10.2.89
cuDNN: 8.0.2
ABN: https://github.com/mapillary/inplace_abn
Pre-trained model: LIP_best.pth
@ziwei-zh
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ziwei-zh commented Sep 6, 2021

Did you test on LIP or on your own dataset?

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@maguro27 @ziwei-zh