Metadata-Version: 2.3
Name: cheese3d-annotator
Version: 0.1.0
Summary: Napari plugin for picking frames and annotating mouse faces in Cheese3D.
Author: Hou Lab, Kyle Daruwalla, Rubin Zhao
Author-email: Hou Lab <the.hou.lab@gmail.com>, Kyle Daruwalla <daruwal@cshl.edu>, Rubin Zhao <rzhao@cshl.edu>
Requires-Dist: pandas>=2.1.4
Requires-Dist: napari==0.5.*
Requires-Dist: napari-video==0.2.*
Requires-Dist: magicgui==0.10.*
Requires-Dist: numpy>=1.23.2
Requires-Dist: scikit-image>=0.24.0
Requires-Dist: imageio>=2.37.2
Requires-Dist: qtpy==2.4.*
Requires-Dist: pyqt5==5.15.*
Requires-Dist: pyqtgraph==0.13.*
Requires-Python: >=3.10
Description-Content-Type: text/markdown

# `cheese3d-annotator` Python package

[![Documentation](https://img.shields.io/badge/docs-latest-blue)](https://hou-lab-cshl.github.io/cheese3d/)

Cheese3D is a pipeline for tracking mouse facial movements built on top of existing tools ([DeepLabCut](https://github.com/DeepLabCut/DeepLabCut) and [Anipose](https://github.com/lambdaloop/anipose)). By tracking anatomically-informed keypoints using multiple cameras registered in 3D, our pipeline produces sensitive, high-precision facial movement data that can be related internal state (e.g., electrophysiology).

**NEW!** Check out the [Cheese3D paper](https://www.nature.com/articles/s41593-026-02262-8).

`cheese3d-annotator` contains the Napari visualization tooling.
Please see the [repository](https://github.com/Hou-Lab-CSHL/cheese3d) for complete information.
