This repo contains a browser-based GUI that facilitate the deveopment of a pose estimation project.
The app allows you to
- label data (upload videos, extract frames, annotate keypoints)
- train and evaluate models
- run inference on new videos
Additionally, the app comes with an example dataset if you want to explore, without needing to label your own data.
Please see the Pose app documentation for instructions on how to install and run the app.
We also provide Lightning Pose documenation for the core algorithm powering the app.
The Lightning Pose app is primarily maintained by Matt Whiteway (Columbia University) and Dan Biderman (Columbia University).
The Lightning Pose app is under active development and we welcome community contributions (see contributing guidelines here). Please get in touch with us on Discord.