The napari hub is transitioning to a community-run implementation due to launch in June 2025.
Since October 1, 2024, this version is no longer actively maintained and will not be updated. New plugins and plugin updates will continue to be listed.

napari-crop

napari-crop

Crop regions in napari manually

License PyPI Python Version tests codecov DOI

Crop regions in napari manually

Crop in any dimension

Cut a volume using a plane

Note: this functionality currently only works with 3D data

Usage

Create a new shapes layer to annotate the region you would like to crop:

Use the rectangle tool to annotate a region. Start the crop tool from the Tools > Utilities > Crop region menu. Click the Run button to crop the region.

You can also use the Select shapes tool to move the rectangle to a new place and crop another region by clicking on Run.

Hint: You can also use the napari-tabu plugin to send all your cropped images to a new napari window.


This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.

Installation

You can install napari-crop via pip:

pip install napari-crop

Contributing

Contributions are very welcome.

License

Distributed under the terms of the BSD-3 license, "napari-crop" is free and open source software

Issues

If you encounter any problems, please create a thread on image.sc along with a detailed description and tag @haesleinhuepf.

Version:

  • 0.1.9

Last updated:

  • 28 June 2023

First released:

  • 21 October 2021

License:

Supported data:

  • Information not submitted

Plugin type:

  • Information not submitted

GitHub activity:

  • Stars: 7
  • Forks: 4
  • Issues + PRs: 18

Python versions supported:

Operating system:

Requirements:

  • napari-plugin-engine (>=0.1.4)
  • numpy
  • scikit-image
  • napari-tools-menu (>=0.1.17)
  • napari-workflows