A deep learning framework for multi-animal pose tracking.
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Updated
Nov 5, 2025 - Python
A deep learning framework for multi-animal pose tracking.
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
Hybrid behavioral tracking combining deep learning-based tracking and fiducial tags
Python Ball Motion Tracking (pymbt): A python interface for FicTrac (https://github.com/rjdmoore/fictrac)
Barnes Maze OpenCV Tool
Sample implementation of the Anitra data API client.
Open-CV based tracking & feature extraction of zebrafish and paramecia
Animals detection in video using YOLO for detecting animals and OpenCV for tracking their movements and interactions.
Automated video analysis tool for mouse behavioral experiments (Open Field, Social Avoidance, Forced Swim Tests).
This project uses a custom-trained YOLOv8 model to detect and track rats in video streams, compute the distance traveled, and generate visual analytics such as path plots and heatmaps.
6 month, Intern-ship projet.
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