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Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

Results 19 EDSR-Tensorflow issues
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I‘v download the pre-trained model files, when I run test.py , I meet this error: ( by the way, I put "General-100" in a directory named "data") Building EDSR... Done...

` File "/content/EDSR-Tensorflow/data.py", line 67, in get_test_set get_image(imgs[0],original_size) IndexError: list index out of range` this is my problem, thanks!

Hi! Can you please tell the requirements versions and the python version? I would be awesome if you update the requirements.txt too!

when i test only one image using your trained model,something wrong at Predicting... Traceback (most recent call last): File "test.py", line 29, in outputs = network.predict(x) File "/home/dingyuyang/EDSR-Tensorflow-master/model.py", line 172,...

**Traceback (most recent call last): File "/media/disk2/xieting/EDSR-Tensorflow-master/test.py", line 29, in inputs = x NameError: name 'x' is not defined** I feel that the data is not loaded, but I don’t...

Thanks so much for helping me solving the problem which I raised, yesterday, But I have another problem: 2019-03-21 10:31:02.242315: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary...

Why does the value of loss suddenly increase and explode when training 14,000 times or so? The value of loss increased from 1.2 to 16 000

i use same network (EDSR) with same dataset. training using pytorch and tensorflow. but I found the pytorch SR result is obvious better than tensorflow. there are similar ops used...

Thank you for your sharing code. I met a problem. When I train the model for my data in GPU,the memory-usage is high but the GPU-util is always zero. So...