Blind gaussian denoising

[wbhu]

Blind gaussian denoising

[clausmichele]

In my fork I implemented blind denoising with 0-50 levels for RGB images https://github.com/clausmichele/DnCNN-tensorflow

[SaoYan]

My PyTorch implementation maybe helpful.

https://github.com/SaoYan/DnCNN-PyTorch

Please refer to line 70~75 in train.py

[qwbmiao]

Hello!Your code looks so cool!

I want to ask you that how I do to implement blind guassian noise by using the code.I try to change the sigma by "feed" like learning rate(lr) in the code,but failed.

self.X = self.Y_ + tf.random_normal(shape=tf.shape(self.Y_), stddev=self.sigma)

So can you tell me how to implement it?Thank you very much

[liting11]

hi,your code is very cool that is modified.But I went wrong when I work it.I run the main program directly.I don't know that reason is what.can you tell me why?could you tell your email?i want to learn for you.thank you so much

[clausmichele]

Can you explain more in detail what kind of problem you have? It is impossible to say what went wrong without any details of where you are running the software.

[liting11]

I am very happy to receive your reply.thank you very much.you are very good man .I can't run the program you modified。When I run main.py，there was an error about 'TypeError: 'range' object does not support item assignment',I think there are questions about my opencv.I installed OpenCV on the software of spyder, but I couldn't use it.I don't why？You can help me analyze it？Thanks for dear.

[clausmichele]

Please post the full error you get, so I can see the line number and try to understand what's the problem. By the way, I am using OpenCV 3.4 compiled from source, because the python version available is older, but this should not be the problem.

[liting11]

This is result about when runned 'main.py' directly.
runfile('F:/dncnn/DnCNN-tensorflow-master/DnCNN-tensorflow-master/main.py', wdir='F:/dncnn/DnCNN-tensorflow-master/DnCNN-tensorflow-master')
GPU

Traceback (most recent call last):

File "", line 1, in
runfile('F:/dncnn/DnCNN-tensorflow-master/DnCNN-tensorflow-master/main.py', wdir='F:/dncnn/DnCNN-tensorflow-master/DnCNN-tensorflow-master')

File "D:\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile
execfile(filename, namespace)

File "D:\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "F:/dncnn/DnCNN-tensorflow-master/DnCNN-tensorflow-master/main.py", line 84, in
tf.app.run()

File "D:\Anaconda3\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))

File "F:/dncnn/DnCNN-tensorflow-master/DnCNN-tensorflow-master/main.py", line 56, in main
model = denoiser(sess)

File "F:\dncnn\DnCNN-tensorflow-master\DnCNN-tensorflow-master\model.py", line 41, in init
self.dataset = dataset(sess)

File "F:\dncnn\DnCNN-tensorflow-master\DnCNN-tensorflow-master\model.py", line 204, in init
random.shuffle(ind)

File "D:\Anaconda3\lib\random.py", line 272, in shuffle
x[i], x[j] = x[j], x[i]

TypeError: 'range' object does not support item assignment

[clausmichele]

Running main.py only starts the training, is what you want? Do you have the images in the correct folders? Try main.py --phase=test with some test images in the right folders first.

[liting11]

yes,I want to run your code to strart the training.I haved the images in the correct folders.Did your code work successful？Result?

[clausmichele]

Check that ind isn't empty or None and try without random.shuffle(ind)

[Pichairen]

@clausmichele Hi,When I run main.py --phase=test,there is an error happen, AssertionError: No testing data! whether I need download other testing data?

[Shakarim94]

Hello guys, I recently implemented CDnCNN-B (blind color denoising) based on this repository