602fd595a415164d428bbddea7aecee9e9163547
ComfyUI LiteTracker
ComfyUI custom nodes for LiteTracker, a fast and efficient point tracking model for videos.
This implementation wraps the original ImFusionGmbH/lite-tracker repository as ComfyUI nodes.
Features
- Load Model node: Download and load LiteTracker weights
- Track node: Track points across video frames with online processing
- Grid Editor node: Graphical interface to define multiple rotatable tracking regions with custom point density
Installation
- Clone this repository into your ComfyUI custom nodes directory:
cd ComfyUI/custom_nodes/
git clone https://github.com/fuselayer/comfyui-lite-tracker.git
pip install -r requirements.txt
Restart ComfyUI The model weights will be automatically downloaded on first use.
Usage
Drag and drop this image into ComfyUI and move the video and mask files to ComfyUI/input
Acknowledgements
Special thanks to the authors of CoTracker3, MFT, STIR Challenge, and SuPer Framework that made this work possible.
Please cite their work if you use LiteTracker in your research:
@inproceedings{karaoglu2025litetracker,
title={LiteTracker: Leveraging Temporal Causality for Accurate Low-Latency Tissue Tracking},
author={Karaoglu, Mert Asim and Ji, Wenbo and Abbas, Ahmed and Navab, Nassir and Busam, Benjamin and Ladikos, Alexander},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={308--317},
year={2025},
organization={Springer}
}
Adapted from: Original model and research: ImFusionGmbH/lite-tracker
Languages
Python
88.4%
JavaScript
11.6%