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**Implement Super Resolution for Low Resolution Images**
**Motivation**
Improving the resolution of low resolution images could help in better Detection and thereby Recognition of text in the imag…
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## Summary of the bug
Getting a Pytorch error **num_samples should be a positive integer value but got num_samples=0**. when using INRIA dataset to reproduce Fine-tuning notebook from the tutorial …
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I have a little confuse about line 302 in util.py
lr_blured = torch.clamp(lr_blured.round(), 0, 255)
is that right for a (0,1) tensor? when we use degrade for training, dose tensor value between…
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I trained the EDSR baseline x 2 and x4 on DIV2K and tested no URBAN100, and the result is poor.
For x 2, I got 31.949, and for x4, I got 25.62, but the paper reported it to be 32.93 and 26.64 each.
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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…
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self.sub_mean = common.MeanShift(rgb_range, vgg_mean, vgg_std)
I can't find Where the function "MeanShift" is.
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Hi
how do you structure the data set in the dataset file
I have downloaded the DIV2K ( HR , BI *2, BI*3, BI*4) and the Flicker HR data set. how do i get the Flicker *2,*3,*4 data?
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hi, thanks for you wonderful work~
when i got through your code , finished the 1st loss print, it's get a error "CUDA out of memory"
Do you know how to fix it ?
thanks for your time ~
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When I test my own picture, PSNR is equal to 0. The effect of the image is also very poor, what went wrong?
![image](https://user-images.githubusercontent.com/76479544/113080135-f7d11300-9208-11eb-95…