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Hi, my dear friend, I am committed to promoting the development of GAN.

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dbpn-pytorch's Issues

Use Other Dataset

Thank you so much for implementing these SR baselines based on up-to-date PyTorch versions!

I tried to reproduce your DBPN-PyTorch on some other dataset, and I follow the instruction in data/readme. However, when I conduct the Step 3 python run.py, the code will generate 2 folders: DBPN/train & DBPN/valid, while these 2 folders remain empty. I am not sure why this happened.

My Step 2's train set structure is as follows, I replaced the DIV2K images with my own dataset:

  • DIV2K
    • original
      • DIV2K_train_HR
        • 0001.png
        • 0002.png
          ...
        • 4300.png
      • DIV2K_valid_HR
        • 4301.png
        • 4302.png
          ...
        • 5748.png

0001-4300 is train set, and 4301-5748 is validation set. All images are 256x256x3.

Thank you very much in advance!

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