Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/LingDong-/edges2calligraphy

Using pix2pix to convert scribbles to Chinese calligraphy
https://github.com/LingDong-/edges2calligraphy

calligraphy chinese deeplearnjs edges machine-learning pix2pix

Last synced: about 9 hours ago
JSON representation

Using pix2pix to convert scribbles to Chinese calligraphy

Host: GitHub
URL: https://github.com/LingDong-/edges2calligraphy
Owner: LingDong-
License: mit
Created: 2018-04-03T14:17:42.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2020-11-30T19:19:09.000Z (over 3 years ago)
Last Synced: 2024-03-20T10:34:56.832Z (4 months ago)
Topics: calligraphy, chinese, deeplearnjs, edges, machine-learning, pix2pix
Language: JavaScript
Homepage:
Size: 47.3 MB
Stars: 112
Watchers: 8
Forks: 18
Open Issues: 4
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-hackchinese - edges2calligraphy

README

        ![](screenshots/icon.png)

# edges2calligraphy

*From scribbles to Chinese calligraphy* （潦草字->赵体草书）

### Interactive demo: https://lingdong-.github.io/edges2calligraphy/

This project uses a neural network called [pix2pix](https://arxiv.org/pdf/1611.07004.pdf) to transfer your scribbles into Chinese Calligraphy. It is trained on ~200 cursive characters from [Zhao Mengfu](https://en.wikipedia.org/wiki/Zhao_Mengfu)'s *Thousand Character Classic in Regular and Cursive Script* (《赵孟頫真草千字文》), labeled using custom software. It is largely based on [affinelayer's edges2cats demo](https://affinelayer.com/pixsrv/) and [pix2pix-tensorflow](https://github.com/affinelayer/pix2pix-tensorflow) project, and uses [deeplearn.js](https://deeplearnjs.org) to perform GPU accelerated computation in your browser.

Try the online deomo: https://lingdong-.github.io/edges2calligraphy/. (Tested in Chrome and Firefox. Does not work in Safari.)

## Examples

![](screenshots/screen01.png)

## Training

This project uses [pix2pix-tensorflow](https://github.com/affinelayer/pix2pix-tensorflow) for training. See [`/tools/README.md`](/tools/README.md) for details.