https://github.com/runwayml/openrndr
RunwayML + OpenRNDR π¦
https://github.com/runwayml/openrndr
creative-coding machine-learning openrndr runway
Last synced: about 1 year ago
JSON representation
RunwayML + OpenRNDR π¦
- Host: GitHub
- URL: https://github.com/runwayml/openrndr
- Owner: runwayml
- Archived: true
- Created: 2019-03-26T15:30:51.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-10-24T16:33:44.000Z (over 6 years ago)
- Last Synced: 2025-04-07T18:12:04.177Z (about 1 year ago)
- Topics: creative-coding, machine-learning, openrndr, runway
- Language: Kotlin
- Homepage:
- Size: 503 KB
- Stars: 25
- Watchers: 8
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# RunwayML + OpenRNDR
A collection of examples and tutorials on how to use [RunwayML](https://runwayml.com/) with [OpenRNDR](https://openrndr.org/).
More RunwayML networking examples [here](https://learn.runwayml.com/#/networking/examples).
πCommunity Contribution
## Examples
### Socket.IO
* [PoseNet](https://github.com/runwayml/OpenRNDR/blob/master/src/main/kotlin/posenet.kt) by [Ryan Bateman](http://boat.horse/) π
This is a simple implementation of [OpenRNDR](http://https://openrndr.org) rendering the results outputted by the [PoseNet model](https://github.com/runwayml/processing/blob/master/posenet/posenet.pde). It uses Socket.IO to listen for emitted events and renders the ensuing implemented poses, similar to the [Processing.org implementation](https://github.com/runwayml/processing).

* [Face Tracking](https://github.com/runwayml/OpenRNDR/blob/master/src/main/kotlin/facedetect.kt) by [Ryan Bateman](http://boat.horse/) π
Similiarly, this is a implementation of rendering the results outputted by the [Face Landmarks model](https://github.com/runwayml/processing/blob/master/posenet/posenet.pde), part of Davis E. King's dlib library. It again uses SocketIO to listen for emitted events and renders the faces.

## Contributing
This is still a work in progress. Contributions welcome!