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It looks Track2 (dped) does not use target data (DPEDiphone-tr-y) for train. https://github.com/Tencent/Real-SR/blob/master/codes/preprocess/create_kernel_dataset.py
There is no 'target' option in paths.yml. https://github.com/Tencent/Real-SR/blob/master/codes/preprocess/paths.yml
While, Track1 use "Corrupted-tr-y and down-sampled Corrupted-tr-y" for train as GT and input with Corrupted-tr-x. https://github.com/Tencent/Real-SR/blob/master/codes/preprocess/create_bicubic_dataset.py
Is that right? or did I miss something? If it's right then was 'cleaned tr-x' enough for target data for GAN?
Thank you for sharing the code :-) 👍
The text was updated successfully, but these errors were encountered:
我也有一样的疑问,因此我最后用源图像进行训练,发现效果似乎是差不多的,但是如果拿target data来生成LR,效果差很多
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请问能分享一下KernelGAN的Result文件么,我总是报错,谢谢
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It looks Track2 (dped) does not use target data (DPEDiphone-tr-y) for train.
https://github.com/Tencent/Real-SR/blob/master/codes/preprocess/create_kernel_dataset.py
There is no 'target' option in paths.yml.
https://github.com/Tencent/Real-SR/blob/master/codes/preprocess/paths.yml
While, Track1 use "Corrupted-tr-y and down-sampled Corrupted-tr-y" for train as GT and input with Corrupted-tr-x.
https://github.com/Tencent/Real-SR/blob/master/codes/preprocess/create_bicubic_dataset.py
Is that right? or did I miss something?
If it's right then was 'cleaned tr-x' enough for target data for GAN?
Thank you for sharing the code :-) 👍
The text was updated successfully, but these errors were encountered: