Skip to content

Keras implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

License

Notifications You must be signed in to change notification settings

He-Jian/pix2pix-keras

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

pix2pix-keras

Introduction

A Keras implementation of pix2pix (Tensorflow backend) inspired by Image-to-Image Translation Using Conditional Adversarial Networks.

example


Quick Start

  1. Download facades.zip with extract code '6w9i', unzip dataset/facades.zip.
  2. Training. python train.py.
  3. Testing. python test.py

Test environment

- Python 2.7.15
- Keras 2.2.4
- tensorflow 1.10.1

CUDA version

CUDA 9.0 is required

Acknowledgement

Original implementation pytorch-CycleGAN-and-pix2pix.

Author

He Jian ([email protected])

License

MIT

About

Keras implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages