Anipose
Anipose is an open-source toolkit for robust, markerless 3D pose estimation of animal behavior from multiple camera views. It leverages the machine learning toolbox DeepLabCut to track keypoints in 2D, then triangulates across camera views to estimate 3D pose.
Check out the Anipose paper for more information.
The name Anipose comes from Animal Pose, but it also sounds like "any pose".
Documentation
Up to date documentation may be found at anipose.org .
Demos
Videos of flies by Evyn Dickinson (slowed 5x), Tuthill Lab
Videos of hand by Katie Rupp
References
Here are some references for DeepLabCut and other things this project relies upon:
- Mathis et al, 2018, "DeepLabCut: markerless pose estimation of user-defined body parts with deep learning"
- Romero-Ramirez et al, 2018, "Speeded up detection of squared fiducial markers"
1 maintainer
Metadata
1 maintainer
Release files for anipose 1.1.24
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| anipose-1.1.24.tar.gz | 797.0 kB | Without provenance | Details for anipose-1.1.24.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| anipose-1.1.24-py3-none-any.whl | Python 3 | none | any | Details for anipose-1.1.24-py3-none-any.whl |
Total release size: 1.6 MB
Release files / anipose-1.1.24.tar.gz
| Download URL | anipose-1.1.24.tar.gz |
|---|---|
| Size | 797.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3b87263cd130c8a4bbd565e6f73afa73ec48717c0c99897d3ec6bc95bb92938b
|
|
BLAKE2b-256 checksum How to use checksums |
b49c6a0bba2dd5093e1c1ae17d20edf0a3f993f8a5f043ad2c0b2e4cae8191b3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.13
|
Release files / anipose-1.1.24-py3-none-any.whl
| Download URL | anipose-1.1.24-py3-none-any.whl |
|---|---|
| Size | 815.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
eea8c3668a2e3cabc4dc8496b924058ed0719c69a84c0f8ff54b405b7986016c
|
|
BLAKE2b-256 checksum How to use checksums |
873b3240cfadeae043678854e4042679cc38abc0eab22ebba8e5d9a0818fa974
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.13
|
Security for anipose 1.1.24
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
