Metadata-Version: 2.1
Name: behavysis_core
Version: 0.1.23
Summary: Core functionality supporting the behavysis suite
Home-page: https://tlee08.github.io/behavysis_core/
License: LGPL-3.0-or-later
Author: BowenLab
Requires-Python: >=3.12,<4.0
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: natsort (>=8.4.0,<9.0.0)
Requires-Dist: numpy (>=1.26.4,<2.0.0)
Requires-Dist: opencv-python (>=4.9.0.80,<5.0.0.0)
Requires-Dist: pandas (>=2.2.2,<3.0.0)
Requires-Dist: pyarrow (>=17.0.0,<18.0.0)
Requires-Dist: pydantic (>=2.7.0,<3.0.0)
Requires-Dist: scipy (>=1.13.0,<2.0.0)
Requires-Dist: seaborn (>=0.13.2,<0.14.0)
Requires-Dist: tables (>=3.10.1,<4.0.0)
Requires-Dist: tqdm (>=4.30.0,<5.0.0)
Project-URL: Repository, https://github.com/tlee08/behavysis_core
Description-Content-Type: text/markdown

# behavysis_core

[Documentation](https://tlee08.github.io/behavysis_core/)

Core functionalities shared across the Behavysis suite.

## Installation

### Dev installation

```bash
conda env create -f conda_env.yaml
conda activate behavysis_pipeline_env
pip install poetry
poetry install
```

### User installation

```bash
conda env create -f conda_env.yaml
```

## References

Mathis, A., Mamidanna, P., Cury, K. M., Abe, T., Murthy, V. N., Mathis, M. W., & Bethge, M. (2018, August 20). DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience. Springer Science and Business Media LLC. http://doi.org/10.1038/s41593-018-0209-y

Nath, T., Mathis, A., Chen, A. C., Patel, A., Bethge, M., & Mathis, M. W. (2019, June 21). Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nature Protocols. Springer Science and Business Media LLC. http://doi.org/10.1038/s41596-019-0176-0

Lauer, J., Zhou, M., Ye, S., Menegas, W., Schneider, S., Nath, T., … Mathis, A. (2022, April). Multi-animal pose estimation, identification and tracking with DeepLabCut. Nature Methods. Springer Science and Business Media LLC. http://doi.org/10.1038/s41592-022-01443-0

Nilsson, S., Goodwin, N., Choong, J. J., Hwang, S., Wright, H., Norville, Z., Tong, X., Lin, D., Bentzley, B., Eshel, N., McLaughlin, R., & Golden, S. Simple Behavioral Analysis (SimBA): an open source toolkit for computer classification of complex social behaviors in experimental animals [Computer software]. https://github.com/sgoldenlab/simba

