ESRT
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luissen
Thanks foy your excellent works. I have trained on your relased codes, and wants to calculate Flops about your model. As you report in paper, I used 1280x720 to calculate...
DataLoader worker (pid(s) 9504, 11496, 19564, 12924, 14856, 1256, 20244, 7752) exited unexpectedly
RuntimeError Traceback (most recent call last) e:\esrt\train.py in 244 epoch_start = datetime.datetime.now() 245 valid(args.scale) --> 246 train(epoch) 247 if epoch%10==0: 248 save_checkpoint(epoch) e:\esrt\train.py in train(epoch) 131 utils.adjust_learning_rate(optimizer, epoch, args.step_size, args.lr,...
Hi! Do we have the trained model weights for this work? It would be nice to run inference on a couple of images with the same performance as in the...
sorry for bothering, when i run the original code, the size of 'im_pre' and 'im_label' is different, and always 'im_pre' is 6-8 pixels less than the 'im_label'. May i ask...
Hi, I use python train.py --scale 4 --patch_size 192 to train the ESRT but get 32.07/0.8919 (PNSR/SSIM) on Set5, which has a certain difference with the results in the original...
Hi, what is mean "NOTE scale factor was wrong in my original version, can set manually to be compat with prev weights" in class EffAttention? can you explain more? and...
Hi! Do we have pretrained models for this work? It would be nice to run inference on a couple of images to see what would we obtain, plus, a good...
Thank you for your work. after reading your paper, I have a question. In Feature Split (FS) of sec. 3.2.2 Efficient Transformer, I was confused with the difference between this...
```python class Scale(nn.Module): def __init__(self, init_value=1e-3): super().__init__() self.scale = nn.Parameter(torch.FloatTensor([init_value])) def forward(self, input): return input * self.scale ``` When the self.scale=1, does this option does nothing? Why do we need...
