https://github.com/pfnet/PaintsChainer

line drawing colorization using chainer
https://github.com/pfnet/PaintsChainer

Last synced: 4 months ago
JSON representation

line drawing colorization using chainer

• Host: GitHub
• URL: https://github.com/pfnet/PaintsChainer
• Owner: pfnet
• License: mit
• Created: 2017-01-27T04:44:13.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2019-01-06T02:35:33.000Z (about 6 years ago)
• Last Synced: 2024-10-29T15:31:06.409Z (4 months ago)
• Language: Jupyter Notebook
• Homepage: https://paintschainer.preferred.tech/
• Size: 21.4 MB
• Stars: 3,770
• Watchers: 275
• Forks: 556
• Open Issues: 43
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Paints Chainer

Paints Chainer is a line drawing colorizer using chainer.

Using CNN, you can colorize your sketch semi-automatically .

![image](https://github.com/pfnet/PaintsChainer/blob/open/sample.png)

## DEMO

http://paintschainer.preferred.tech/

## Requirement

If not specified, versions are assumed to be recent LTS version.

- A Nvidia graphic card supporting cuDNN i.e. compute capability >= 3.0 (See https://developer.nvidia.com/cuda-gpus)

- Linux: gcc/ g++ 4.8

- Windows: "Microsoft Visual C++ Build Tools 2015" (NOT "Microsoft Visual Studio Community 2015")

- Python 3 (3.5 recommended) ( Python 2.7 needs modifying web host (at least) )

- Numpy

- openCV "cv2" (Python 3 support possible, see installation guide)

- Chainer 2.0.0 or later

- CUDA / cuDNN (If you use GPU)

## Installation Guide

check wiki page

https://github.com/pfnet/PaintsChainer/wiki/Installation-Guide

## Starting web host

UI is html based. using wPaint.js

Server side is very basic python server

boot local server

`python server.py`

access to localhost

`localhost:8000/`

## Learning

main code of colorization is in `cgi-bin/paint_x2_unet`

to train 1st layer using GPU 0 `python train_128.py -g 0`

to train 2nd layer using GPU 0 `python train_x2.py -g 0`

## License

Source code : MIT License

Pre-trained Model : All Rights Reserved

## Pre-Trained Models

Download following model files to  cgi-bin/paint_x2_unet/models/

http://paintschainer.preferred.tech/downloads/

(Copyright 2017 Taizan Yonetsuji All Rights Reserved.)

## Developer Community

Feel free to request an invitation!

https://paintschainerdev.slack.com/

## Acknowledgements

This project is powered by Preferred Networks.

Thanks a lot for rezoolab, mattya, okuta, ofk . This project could not be achived without their great support.

Line drawing of top image is by ioiori18.