https://github.com/justusschock/delira_cycle_gan_pytorch

A delira-compatible cycle-GAN skeleton.
https://github.com/justusschock/delira_cycle_gan_pytorch

computer-vision cycle-gan cyclegan delira gan generative-adversarial-network image-processing pytorch pytorch-cnn

Last synced: about 2 months ago
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A delira-compatible cycle-GAN skeleton.

• Host: GitHub
• URL: https://github.com/justusschock/delira_cycle_gan_pytorch
• Owner: justusschock
• License: bsd-2-clause
• Created: 2019-03-02T14:37:18.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-07-16T07:28:56.000Z (over 5 years ago)
• Last Synced: 2024-10-28T08:25:08.456Z (3 months ago)
• Topics: computer-vision, cycle-gan, cyclegan, delira, gan, generative-adversarial-network, image-processing, pytorch, pytorch-cnn
• Language: Python
• Homepage: https://justusschock.github.io/delira_cycle_gan_pytorch/
• Size: 5.68 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
> This Project is now obsolete and won't be continued. Potential Bugs won't be fixed in this repo anymore. Please refer to the implementation in [delira-dev/vision](https://github.com/delira-dev/vision) for more details

# Cycle GAN

[![Build Status](https://travis-ci.com/justusschock/delira_cycle_gan_pytorch.svg?branch=master)](https://travis-ci.com/justusschock/delira_cycle_gan_pytorch) [![codecov](https://codecov.io/gh/justusschock/delira_cycle_gan_pytorch/branch/master/graph/badge.svg)](https://codecov.io/gh/justusschock/delira_cycle_gan_pytorch)

This package contains a [`delira`](https://github.com/justusschock/delira) 

compatible cycle GAN skeleton, which should work for arbitrary dimensions and

 datatypes.

 

 An example for 2D images can be found in the [notebooks](notebooks) 

 folder.

 

 The paper, this package is based on, can be found at [arXiv](https://arxiv.org/abs/1703.10593).

 

 ## Installation

 This package can be installed from pip with:

 ```

 pip install delira-cycle-gan

 ```

 or from source via:

 ```

 pip install git+https://github.com/justusschock/delira_cycle_gan_pytorch

 ```

 

 ## Examples (taken from [the original implementation](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix))