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Hi, Thank you for providing excellent super resolution technology.
I wanted to test the behavior and I ran the following command and I got an error.
> C:\Users\yusuke\EDSR-PyTorch\code>python main…
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File "main.py", line 20, in
t.test()
File "/usr/project/xtmp/superresoluter/code/main/code_lei2/trainer.py", line 108, in test
self.ckp.save_results(filename, save_list, scale)
File…
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> leichen@gpu-compute1$ python3 scatter_edsr.py
> cuda.current_device= 0
> DataParallel(
> (module): APXM_edsr(
> (main): Sequential(
> (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(…
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leichen@gpu-compute1$ python3 scatter_edsr.py
THCudaCheck FAIL file=/pytorch/aten/src/THC/generic/THCStorage.cu line=58 error=2 : out of memory
Traceback (most recent call last):
File "scatter_ed…
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Hi,
Thanks for your fantastic work!
When I was running the codes, it continues appearing the sentence which is 'from: too many arguments'. I have googled this but unfortunately I didn't find use…
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It seems that data does not increase at first glance, but what does this processing mean?
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When I executed EDSR baseline model (x2) training additionally with half precision option, I encountered errors as following.
Could you give me any suggestions to avoid it?
python main.py --model …
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I read your paper and I go deeply impressed. I wanted to know how would you compare your work to GAN-oriented approach such as SRGAN (advantage/drawback)
Thanks,
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Hi @thstkdgus35 ,thank you for your great work in this project
Unfortunately, when i try to run
python main.py --data_test Demo --scale 2 --pre_train ../experiment/model/EDSR_baseline_x2.pt --tes…
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What is the input channel in the Set5 / Set14 test in the paper? RGB or Y? Thanks for your answer.