Metadata-Version: 2.1
Name: bandit-optimization
Version: 0.0.1
Summary: Bandit optimization algorithms for microscopy
Author-email: Anthony Bilodeau <anthony.bilodeau.1@ulaval.ca>, Albert Michaud-Gagnon <albert.michaud-gagnon@cervo.ulaval.ca>
Maintainer-email: Anthony Bilodeau <anthony.bilodeau.1@ulaval.ca>
Project-URL: Homepage, https://github.com/FLClab/bandit-optimization
Project-URL: Issues, https://github.com/FLClab/bandit-optimization/issues
Keywords: microscopy,sted,bandit,optimization
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pyyaml
Requires-Dist: matplotlib
Requires-Dist: statsmodels
Requires-Dist: deap>=1.3
Requires-Dist: scikit-learn
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: tqdm
Requires-Dist: scikit-image

# Bandit Optimization

The bandit optimization package implements the algorithms, models and objectives that are used for the optimization of microscopy images. 

The algorithms provided within this repository are used the optimization of STED microscopy. The repository of STED microscopy optimization is available [here](https://github.com/FLClab/optim-sted).

---

## Installation 

You can install `banditopt` via [pip](https://pypi.org/project/pip/).

```bash
pip install bandit-optimization
```

*Note. When importing the module, bandit will raise a warning about not being able to load the microscope interface. This warning can be ignored.*

## License

Distributed under the terms of the [CC-By v4.0](https://creativecommons.org/licenses/by/4.0/) license.
