Skip to content

tensorflow 2.0 implementation of CycleGAN, easy to use.

Notifications You must be signed in to change notification settings

Katexiang/CycleGAN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CycleGAN

tensorflow 2.0;

Description

This implementation of CycleGAN is a combination and upgrade version of vanhuyz's tf1 version and tf2's official implementation. And this project can be utilized on Windows, because many other's implementation needs a pakage of Addons for instance normalization.

I have implemented the instance normalization.

The code is quite easy to use. The only thing you have to change is the data.py to adapt to your own dataset.

In addition, I believe this code can help you learn the usage of tensorflow 2! I am a cordial tf-boy!!! No hesitate to ask me any problem about TF2!!!

Main Dependencies

tensorflow 2.0
Open CV
Python 3.6.5

Note

In the future, I will update the demo code for wgan. And I will show the result of the demo. This cyclegan is leverged for generating foggy cityscapes for my research work. And train.py has a few problems, I will rewrite it soon and upload it. image

About

tensorflow 2.0 implementation of CycleGAN, easy to use.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages