Lightning Pose App
Web-based GUI for Lightning Pose — a semi-supervised pose estimation library for single- and multi-view animal tracking.
The app provides an end-to-end workflow:
- Project management — create and organize pose estimation projects
- Labeler — extract video frames and annotate keypoints
- Models — configure and launch model training, monitor progress in real time
- Inference — run trained models across video sessions
- Viewer — inspect predictions overlaid on video with per-keypoint controls
Installation
Install Lightning Pose and the app:
pip install lightning-pose lightning-pose-app
Usage
litpose run_app
Then open http://localhost:4200 in your browser.
Documentation
Full documentation, including installation guides and tutorials:
👉 https://lightning-pose.readthedocs.io
Requirements
- Linux or WSL (Windows Subsystem for Linux)
- NVIDIA GPU with CUDA 12+
- Python 3.10–3.12
Source
This package contains only the app server and compiled UI. The core modeling library lives at paninski-lab/lightning-pose.
2 maintainers
Metadata
2 maintainers
Release files for lightning-pose-app 2.4.2.3
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| File | Size | Uploaded | |
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| lightning_pose_app-2.4.2.3.tar.gz | 11.6 MB | Details |
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|---|---|---|---|---|
| lightning_pose_app-2.4.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.3 MB
Release files / lightning_pose_app-2.4.2.3.tar.gz
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