🚧 SLEAP Toolbox is early stage. Interested in using it or helping to create future versions? See contact info below.
👀 See SLEAP Toolbox in action with this live script demo.
SLEAP is an open source deep-learning based framework for multi-animal pose tracking. It can be used to track any type or number of animals by training neural networks from user-labeled frames.
Currently, SLEAP Toolbox supports inference based on top-down models trained in SLEAP. To use it, you must first train a set of models from the SLEAP GUI (see tutorial).
SLEAP Toolbox supports the following key steps:
- Import of top-down model components from SLEAP into MATLAB
Composition of a single composite top-down model as a
- Prediction of animal pose estimates per frame of user data
- Visualization of animal pose estimates for user data within the MATLAB graphics system
Usage of SLEAP Toolbox is subject to its license terms.
Note: It is NOT necessary to have SLEAP installed in order to run this toolbox. You can train SLEAP on another machine, and then use this toolbox to predict on new data within MATLAB.
See the demo.
For support for this toolbox, please open a GitHub issue in this repository.
Please direct other inquiries and interest(❕) to
firstname.lastname@example.org with "SLEAP Toolbox" included in the subject line.
 T.D. Pereira, N. Tabris, A. Matsliah, D. M. Turner, J. Li, S. Ravindranath, E. S. Papadoyannis, E. Normand, D. S. Deutsch, Z. Y. Wang, G. C. McKenzie-Smith, C. C. Mitelut, M. D. Castro, J. D’Uva, M. Kislin, D. H. Sanes, S. D. Kocher, S. S-H, A. L. Falkner, J. W. Shaevitz, and M. Murthy. SLEAP: A deep learning system for multi-animal pose tracking. Nature Methods, pp.1-10, 2022
Copyright (c) 2019 - 2022 As Indicated Per File.
Distributed under license permitting academic and research use.
For commercial inquiries on using SLEAP for commercial applications, please see the relevant section in the main SLEAP repository.
Talmo Pereira (2022). SLEAP Toolbox (https://github.com/talmolab/sleap-matlab/releases/tag/v1.0.2), GitHub. Retrieved .
Pereira, Talmo D., et al. “SLEAP: A Deep Learning System for Multi-Animal Pose Tracking.” Nature Methods, vol. 19, no. 4, Springer Science and Business Media LLC, Apr. 2022, pp. 486–95, doi:10.1038/s41592-022-01426-1.
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