Code refactor and cleanup

[apauliuc]

Great work writing this paper and coming up with this model. Have you managed to refactor and clean up your demo code? I'm trying to run it and cannot figure the errors I get. Thanks

[vlordier]

There is a TF2 version here which anyone can help work on

[vlordier]

There is a PyTorch version here which seems promising.

[apauliuc]

Great, thank you very much! Will check them

[mtics]

There is a PyTorch version here which seems promising.

Thank you to recommend my code, but the result is not good. Unfortunately, I don't know how to handle it.

Could you give me some help?

[vlordier]

Yes, we have fixed batchnorm and implemented 2-Way GAN, running tests right now : code is coming :)

[mtics]

Yes, we have fixed batchnorm and implemented 2-Way GAN, running tests right now : code is coming :)

Thx a lot, it can be really helpful for me!

[MrRobot2211]

Hi I have the implemented it in pytorch with 2way gan s and it works as expected, I have a big room to improve memory conumption though https://github.com/MrRobot2211/pytorch-deep-photo-enhancer

[ozgurozkan123]

Hi can you please share the files you have for this project. The maintainer @nothinglo is not updating the links and all of them are broken.
Thanks @apauliuc

[mtics]

Hi can you please share the files you have for this project. The maintainer @nothinglo is not updating the links and all of them are broken.
Thanks @apauliuc

Hi, you can see our files in https://github.com/mtics/deep-photo-enhancer or https://github.com/MrRobot2211/pytorch-deep-photo-enhancer

[MrRobot2211]

Hi you can also check my tf2 version...that is basicaly the same that was atored here, but compatible with tf2

[Youlenda]

Hi,

When I run the TF.py in the "[Online_Demo_Models]_Deep-Photo-Enhancer/LPGAN_exp_G3_736" file, I face this error:

Shapes (2, 1, 32, 32, 128) and () are incompatible

in line: netG_test_output1 = model(netG, test_df.input1, False, netG_act_o, is_first=True)

Would you mind helping me with it? Thank you in advance.