semvec/pypi-packages huggingface dataset:
napari-nd-cropper 0.1.3
A napari plugin in order to crop nd-images via different modes
License: BSD-3-Clause
Requires Python: >=3.9

# napari-nd-cropper

[![License](https://img.shields.io/pypi/l/napari-medical-image-formats.svg?color=green)](https://github.com/MBPhys/napari-nd-cropper/raw/master/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-nd-cropper.svg?color=green)](https://pypi.org/project/napari-nd-cropper)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-nd-cropper.svg?color=green)](https://python.org)


A napari plugin in order to crop nd-images via different modes:

- Cropping via Drag&Drop interaction box (available for napari releases > 0.4.12)
- Cropping of double-clicked regions based on predefined size (Integer or Tuple of integer) 
- Cropping based on view 
- Cropping via Sliders 


----------------------------------

## Installation

You can install `napari-nd-cropper` via [pip]:

    pip install napari-nd-cropper

## 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,
"napari-nd-cropper" 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
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
[file an issue]: https://github.com/MBPhys/napari-nd-cropper/issues
[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/