A YOLO-based tool for ROI cropping and movement tracking of Mus musculus.
Project description
Mus Musculus Tracker 🐁
A professional YOLO-based tool designed for automated detection, Region of Interest (ROI) cropping, and movement tracking of mice (Mus musculus) in a circular arena.
📋 Features
- Automated Detection: Powered by YOLO (v.12) for robust animal identification.
- Smart ROI Cropping: Automatically crops video borders to focus on the arena/cage.
- Trajectory Tracking: Extracts movement data and tracking coordinates.
- CLI Ready: Easy-to-use Command Line Interface for batch processing.
🚀 Installation
Via Pip (Recommended)
You can install the tracker directly from PyPI:
pip install mus-musculus-tracker
Via Conda (For Development)
To set up a development environment, use the provided environment.yml:
gh repo clone juancolonna/mouse-tracker
cd mouse-tracker
conda env create -f environment.yml
conda activate mouse-tracker
pip install mus-musculus-tracker
🛠 Usage
Once installed, the mouse-track command will be available in your terminal. To start tracking on a video file, simply run:
mouse-track path/to/your/video.mp4
📑 Requirements
Python: >= 3.13
Main Dependencies:
ultralytics (YOLO)
opencv-python
moviepy
tqdm
✍️ Authors
Juan G. Colonna juancolonna@icomp.ufam.edu.br
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
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