lambdaloop/anipose
An open-source toolkit for markerless 3D pose estimation of animal behavior using multi-camera views and deep learning.
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Anipose estimates 3D poses of animals from video without physical markers by combining 2D keypoint detection from DeepLabCut with geometric triangulation across synchronized camera views. It is designed for behavioral neuroscience and biomechanics research, providing calibration and filtering utilities to produce reliable 3D trajectories from laboratory video recordings.
Frequently asked
- What is lambdaloop/anipose?
- An open-source toolkit for markerless 3D pose estimation of animal behavior using multi-camera views and deep learning.
- Is anipose open source?
- Yes — lambdaloop/anipose is open source, released under the BSD-2-Clause license.
- What language is anipose written in?
- lambdaloop/anipose is primarily written in JavaScript.
- How popular is anipose?
- lambdaloop/anipose has 451 stars on GitHub.
- Where can I find anipose?
- lambdaloop/anipose is on GitHub at https://github.com/lambdaloop/anipose.