Closed liqiang311 closed 6 years ago
Hi! As far as I see those images/frames contain artifacts due to compression, which of course can be seen as noise, but it was not a type of degradation that was in my training set. Maybe that's the explanation. I will try to denoise those two images on my pc and see if there are differences.
Yes, you are correct, the sequence I am using is coded and there is quantization noise.
I have used the original sequence to test, and the bad phenomenon still exists, but it is much better.
denoised noisy
So, I've tried your noisy input and I don't get any strange output, tested with both checkpoint I provide. Which tensorflow version are you using? NOISY: DENOISED:
Thank you for your testing.
I only change the "xrange" to "range" in code. And I am running a series of images.
The only think I can try is to use your data on my machine, attach your files here if you want.
Hi, thanks a lot for the trained model!
I too have the same issue. Is it may be because the model is overfitting, as it has not seen these artefacts in the training data?
(I am sending you the images via mail, as I cannot put it up online). Please also note that I can see these artefacts in all the frames!
Thanks!
If you use the gaussian trained checkpoint you won't have any of those weird results. Just run it with: python main.py --ckpt_dir=./ckpt_vidcnn-g
Thank you, I'm having a problem with running
python main.py --ckpt_dir=./ckpt_vidcnn-g
so I've opened this new issue.
The only think I can try is to use your data on my machine, attach your files here if you want.
Hi I‘m so interested in your work and I meet the same problem,it's the input png which is compressed will cause these artifacts?
Thanks for your trained model, and I run it on my own video.
As a result, there are some weird things on the image, as shown in the figure.
noisy denoised noisy denoise
What's that? Can you help me?