SLEAP

Type
Collection
Author
Pereira, Talmo D. (orcid.org/0000-0001-9075-8365)
Tabris, Nathaniel
Matsliah, Arie
Turner, David M.
Li, Junyu
Ravindranath, Shruthi
Papadoyanis, Eleni S.
Normand, Edna
Deutsch, David S.
Wang, Z. Yan
McKenzie-Smith, Grace C.
Mitelut, Catalin C.
Castro, Marielisa D.
D`uva, John
Kislin, Mikhail
Sanes, Dan H.
Kocher, Sarah D.
Wang, Samuel S.-H.
Falkner, Annegret L.
Shaevitz, Joshua W.
Murthy, Mala
Requires
Tensorflow
NumPy
Python
Execution Platform
Linux
Mac
Windows
Implementation Type
library
Programming Language
Python
Supported image dimension
2D
time-series
Interaction Level
Semi-automated
License/Openness
Free and open source
License
The Clear BSD License
Description

Open source deep learning based framework for multi-animal pose tracking. It can track animal and any number of animals and has a labeling/training GUI for learning and proofreading.

has function
Object tracking
has topic
Machine learning
has biological terms
Drosophila melanogaster
Additional keywords
pose estimation
Entry Curator
lascholz
Post date
05/08/2023 - 09:35
Last modified
05/11/2023 - 13:00
Download Page
SLEAP releases page on Github
Documentation Link
SLEAP guides page
Reference Publication Link
SLEAP: A deep learning system for multi-animal pose tracking (Nature Methods pu…
Backlinks