Metadata-Version: 2.1
Name: behavysis_pipeline
Version: 0.1.24
Summary: An animal behaviour processing and analysis package
Home-page: https://tlee08.github.io/behavysis_pipeline
License: LGPL-3.0-or-later
Author: BowenLab
Requires-Python: >=3.12,<3.13
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: Jinja2 (>=3.1.4,<4.0.0)
Requires-Dist: PySide6 (>=6.8.0.2,<7.0.0.0)
Requires-Dist: behavysis_core (>=0.1.24,<0.2.0)
Requires-Dist: dask[complete] (>=2024.10.0,<2025.0.0)
Requires-Dist: graphviz (>=0.20.3,<0.21.0)
Requires-Dist: imbalanced-learn (>=0.12.2,<0.13.0)
Requires-Dist: pyqtgraph (>=0.13.7,<0.14.0)
Requires-Dist: scikit-learn (>=1.4.2,<2.0.0)
Requires-Dist: streamlit (>=1.36.0,<2.0.0)
Requires-Dist: torch (>=2.2,<2.3)
Project-URL: Documentation, https://tlee08.github.io/behavysis_pipeline
Project-URL: Repository, https://github.com/tlee08/behavysis_pipeline
Description-Content-Type: text/markdown

# behavysis_pipeline

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

## 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

