Comments (2)
andreas128
commented on August 26, 2024
We use the same version as in the pip package.
pip install lpipsimport lpips
loss_fn_alex = lpips.LPIPS(net='alex')
d = loss_fn_alex(img_super_resolution, img_ground_truth) # normalized to [-1, 1]Were you able to reproduce the SRFlow results?
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andreas128
commented on August 26, 2024
We just released the code. It also contains the functions for the measurements. Hope this helps!
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Related Issues (20)
- Super Resolution Video HOT 1
- meet NAN when I use realSR dataset to train SrFlow HOT 1
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- Image manipulations
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- why only take $z_L$ into consideration instead of $z=(z_l)_l=1^L$ HOT 2
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- Bug: RRDB not frozen for first half of the training
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