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richzhang avatar richzhang commented on August 20, 2024

Thanks for the question. The discrepancy is caused by the version of LPIPS. BicycleGAN used v0.0. This version turned out to have a preprocessing bug. It is kept as a flag for historical purposes, but the recommended version of LPIPS is v0.1 (which is run by default and getting you the 0.609/0.262 numbers).

I updated the LPIPS repository so you can feed in the version number, but again it's best to use v0.1.

python compute_dists_pair.py -d DIRECTORY -o pair_dists.txt -v 0.0

Thanks!

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Imposingapple avatar Imposingapple commented on August 20, 2024

Oh, I see. Thank you very very much! My results are much similar to yours now(0.1236, 0.293), but there's still some offsets(about 10% larger). Have you use any other tricks in calculating LPIPS score? Are you using pretrained net of Bicyclegan to acquire your result? In my experiment, the results I have mentioned is using the pretrained net and 512 times 512 image input.
Thank you again for answering my doubts!

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richzhang avatar richzhang commented on August 20, 2024

Great. I was trying the ground truth images when responding to this. Thanks

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