Metadata-Version: 2.1
Name: coscmos
Version: 0.0.1
Summary: cosCMOS ( "correct sCMOS", pronounced as cosmos ) is a Python package designed to cancel the fixed-pattern noise of sCMOS cameras.
Home-page: https://github.com/LemonJust/coscmos
Author: Anna Nadtochiy
Author-email: lemonjustgithub@gmail.com
License: BSD-3-Clause
Project-URL: Bug Tracker, https://github.com/LemonJust/coscmos/issues
Project-URL: Documentation, https://github.com/LemonJust/coscmos#README.md
Project-URL: Source Code, https://github.com/LemonJust/coscmos
Project-URL: User Support, https://github.com/LemonJust/coscmos/issues
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: testing
License-File: LICENSE

# coscmos

[![License BSD-3](https://img.shields.io/pypi/l/coscmos.svg?color=green)](https://github.com/LemonJust/coscmos/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/coscmos.svg?color=green)](https://pypi.org/project/coscmos)
[![Python Version](https://img.shields.io/pypi/pyversions/coscmos.svg?color=green)](https://python.org)
[![tests](https://github.com/LemonJust/coscmos/workflows/tests/badge.svg)](https://github.com/LemonJust/coscmos/actions)
[![codecov](https://codecov.io/gh/LemonJust/coscmos/branch/main/graph/badge.svg)](https://codecov.io/gh/LemonJust/coscmos)

**cosCMOS** ( "**co**rrect **sCMOS**", pronounced as cosmos ) is a Python package designed to cancel the fixed-pattern noise of sCMOS cameras.

The noise is estimated through a one-time calibration. The package contains methods to estimate the fixed-pattern noise component from the calibration data and remove it from the images.

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## Installation

You can install `coscmos` via [pip]:

    pip install coscmos



To install latest development version:

    pip install git+https://github.com/LemonJust/coscmos.git

## Contributing

Contributions are very welcome. Tests can be run with [tox], please ensure
the coverage at least stays the same before you submit a pull request.

## License

Distributed under the terms of the [BSD-3] license,
"coscmos" is free and open source software

## Issues

If you encounter any problems, please [file an issue] along with a detailed description.

[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause

[file an issue]: https://github.com/LemonJust/coscmos/issues

[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
