Skip to main content

SLEAP (Social LEAP Estimates Animal Poses) is a deep learning framework for animal pose tracking.

Project description

Continuous integration status Coverage Documentation Downloads Stable version Latest version

Social LEAP Estimates Animal Pose (SLEAP)

https://sleap.ai/docs/_static/sleap_movie.gif

Social LEAP Estimates Animal Pose (SLEAP) is a framework for multi-animal body part position estimation via deep learning. It is the successor to LEAP (Pereira et al., 2019). SLEAP is written entirely in Python, supports multi-animal pose estimation, animal instance tracking, and comes with a labeling/training GUI that supports active learning.

If you use SLEAP in your research, please cite:

Talmo D. Pereira, Nathaniel Tabris, Junyu Li, Shruthi Ravindranath, Eleni S. Papadoyannis, Z. Yan Wang, David M. Turner, et al. 2020. “SLEAP: Multi-Animal Pose Tracking.” bioRxiv. https://doi.org/10.1101/2020.08.31.276246.

SLEAP is released under a Clear BSD License and is intended for research/academic use only. For commercial use, please contact: Laurie Tzodikov (Assistant Director, Office of Technology Licensing), Princeton University, 609-258-7256.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

sleap-1.1.0a10-py3-none-any.whl (39.5 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page