Comments (3)
ZZUTK
commented on September 3, 2024
It seems that you are still using CUFED dataset for training, but the feature maps are generated from your own dataset, where the input size is different from that of CUFED. Please use your own dataset for training as well.
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Yu-Wang-0801
commented on September 3, 2024
Have you completed all the relevant experiments? I want to ask you some experimental details in private. Is it convenient to leave your contact information?
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dannilv-lab
commented on September 3, 2024
May I ask how your problem was finally solved? I tried to use the image of 400*400 for training, and the same error message as you appeared
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Related Issues (20)
- map_123 HOT 3
- You did'nt explained or mention anything about the following lines? HOT 2
- about PSNR and SSIM
- What is the upscale.npz model in SRNTT/models/SRNTT？ HOT 1
- How was upsacle.npz file created before running offine_pathMatch_textureSwap.py HOT 3
- texture loss weights HOT 2
- input size HOT 1
- When I run offline_patchMatch_textureSwap.py,I got this error.Please help.
- [bug report]SRNTT/SRNTT/bicubic_kernel.py: a bug in def kener(in_length, out_length)
- about training epoch and loss HOT 2
- About the patch similarity.
- how to construct the dataset with Ref images HOT 2
- how can I get the discrim.npz
- About SRNTT-l2 with ref image HOT 1
- How to validate if the feature swapping is going well?
- Multi-Scale in Feature Swapping
- PSNR measurement HOT 2
- It takes up a lot of GPU memory HOT 1
- Would you like to provide the original CUFED5 training dateset for us to follow your work?
- how to make the code run faster
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