SLEAP (Social LEAP Estimates Animal Pose) is a deep learning framework for estimating animal pose.
Project description
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
sleap-1.0.1-py3-none-any.whl
(32.4 MB
view details)
File details
Details for the file sleap-1.0.1-py3-none-any.whl.
File metadata
- Download URL: sleap-1.0.1-py3-none-any.whl
- Upload date:
- Size: 32.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.2.0.post20200511 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1bed42dccb1d7eacbcd16169b51f4147e28f9081674abe9fbcc4d5850528b04d
|
|
| MD5 |
f3a022a37127c030162d791aacf4d6ce
|
|
| BLAKE2b-256 |
952c14cb4e4ac676f62a5f00efff414bc2f7abf859f70b999ea75620e634adea
|
Social LEAP Estimates Animal Pose (SLEAP)
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. 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.
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.
If you use SLEAP in your research, cite Pereira et al. Nature Methods 2019 and sleap.ai.