Open cscss opened 5 years ago
ps: I train both model with DIV2K dataset.
hello,i have a problem in training VDSR too. I train vdsr in this code python main.py --model vdsr --scale 2 --patch_size 96 --block_feats 128 --save vdsr_DIV2K_x2 --data_train DIV2K --data_test DIV2K --pre_train ''
Then an runtimerrror occurs RuntimeError: The size of tensor a (48) must match the size of tensor b (96) at non-singleton dimension 3
I think that error is VDSR have to bicubic LR to the same resolution HR but how i bicubic image or change VDSR model?
Dear author: Hello! I want to compare the difference between these models, but when I train VDSR model with this code. i found that the loss never descent and the PSNR of validation never changed. When I train EDSR with your code, it's fine. I can not find the reason. Can you help me?
Have you found the reason? The same thing happened to me when I used other datasets.
hello,i have a problem in training VDSR too. I train vdsr in this code python main.py --model vdsr --scale 2 --patch_size 96 --block_feats 128 --save vdsr_DIV2K_x2 --data_train DIV2K --data_test DIV2K --pre_train ''
Then an runtimerrror occurs RuntimeError: The size of tensor a (48) must match the size of tensor b (96) at non-singleton dimension 3
I think that error is VDSR have to bicubic LR to the same resolution HR but how i bicubic image or change VDSR model?
You can use Matlab's bicubic operation to downsample HR images and up them to create VDSR datasets.
@DaxingZ @Azriel5474 ,Have the two seniors solved this problem yet? How was it solved?
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Dear author: Hello! I want to compare the difference between these models, but when I train VDSR model with this code. i found that the loss never descent and the PSNR of validation never changed. When I train EDSR with your code, it's fine. I can not find the reason. Can you help me?