Toolkit for classification of behaviors in experimental animals
Project description
SimBA (Simple Behavioral Analysis) is a platform for analyzing behaviors of experimental animals within video recordings.
<p align="center" style="width: 65%;">
![SimBA splash](https://github.com/sgoldenlab/simba/blob/master/docs/_static/img/splash_soft.png)
</p>
See below for raison d'être, detailed API, tutorials, data, documentation, support, and walkthroughs:
* [GitHub](https://github.com/sgoldenlab/simba)
* [readthedocs](https://simba-uw-tf-dev.readthedocs.io/en/latest/)
* [API](https://simba-uw-tf-dev.readthedocs.io/en/latest/api.html)
* [Gitter](https://app.gitter.im/#/room/#SimBA-Resource_community:gitter.im)
* [biorxiv](https://www.biorxiv.org/content/10.1101/2020.04.19.049452v2)
* [OSF](https://osf.io/tmu6y/)
For installation:
```
pip install simba-uw-tf-dev
```
If you make use of the code, please cite:
@article{Nilsson2020.04.19.049452,
author = {Nilsson, Simon RO and Goodwin, Nastacia L. and Choong, Jia Jie and Hwang, Sophia and Wright, Hayden R and Norville, Zane C and Tong, Xiaoyu and Lin, Dayu and Bentzley, Brandon S. and Eshel, Neir and McLaughlin, Ryan J and Golden, Sam A.},
title = {Simple Behavioral Analysis (SimBA) { extendash} an open source toolkit for computer classification of complex social behaviors in experimental animals},
elocation-id = {2020.04.19.049452},
year = {2020},
doi = {10.1101/2020.04.19.049452},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2020/04/21/2020.04.19.049452},
eprint = {https://www.biorxiv.org/content/early/2020/04/21/2020.04.19.049452.full.pdf},
journal = {bioRxiv}}
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 Distribution
Simba-UW-tf-dev-1.82.2.tar.gz
(11.5 MB
view hashes)
Built Distribution
Close
Hashes for Simba_UW_tf_dev-1.82.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b7d6b7d704fea971061d78728692cb52bf944c2f498743ca4dffc90b95f9a243 |
|
MD5 | 1f542b67f353cab295ed5a05ace2045c |
|
BLAKE2b-256 | dce848938377baebc8decd56ae1d88bb48d1b3bb543b82aa2c71d8dc0299dfb6 |