https://github.com/frankroeder/drawinsky
Sketch inside your browser ✏️
https://github.com/frankroeder/drawinsky
paperjs sketch
Last synced: 19 days ago
JSON representation
Sketch inside your browser ✏️
- Host: GitHub
- URL: https://github.com/frankroeder/drawinsky
- Owner: frankroeder
- Created: 2019-09-05T18:43:23.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-06T20:29:55.000Z (about 5 years ago)
- Last Synced: 2025-04-01T16:18:47.402Z (26 days ago)
- Topics: paperjs, sketch
- Language: JavaScript
- Homepage:
- Size: 527 KB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Drawinsky
Create custom sketches to train your own [Quickdraw RNN](https://www.tensorflow.org/tutorials/sequences/recurrent_quickdraw)!
This web app saves drawings stroke by stroke. With this type of data, a recurrent
neural network can be trained to predict the process of drawing certain classes
of objects.
## Getting started
- Install dependencies with `npm i`
- Start app with `npm start`
- Open `http://localhost:4000`
### Docker
- `docker build --rm -t drawinsky .`
- `docker run --rm -it -p 4000:4000 drawinsky`
# References
- http://paperjs.org
- https://github.com/engelsjk/web-demo-quickdraw-visualizer
- https://github.com/googlecreativelab/quickdraw-dataset