pytorch-enhance
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Open-source Library of Image Super-Resolution Models, Datasets, and Metrics for Benchmarking or Pretrained Use
I don't see links anywhere. is there a hub for these?
in https://github.com/togheppi/pytorch-super-resolution-model-collection
I am using greyscale pngs which have been contrast stretched to have pixel values in range 0-255. I have a value for test_psnr, but when I independently calculate this value...
The crucial code are as follows: if conv_index == '22': self.vgg = nn.Sequential(*modules[:8]) elif conv_index == '54': self.vgg = nn.Sequential(*modules[:35]) According to some explanations like in https://paperswithcode.com/method/vgg-loss, we usually use...
Hi @isaaccorley I modified the dataset to load from a local dir (in my case a mounted google drive) - might be one to add to the wiki if not...