Skip to main content

Crop regions in napari manually

Project description

napari-crop

License PyPI Python Version tests codecov DOI

Crop regions in napari manually

Crop in any dimension

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

napari-crop-0.1.7.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

napari_crop-0.1.7-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file napari-crop-0.1.7.tar.gz.

File metadata

  • Download URL: napari-crop-0.1.7.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for napari-crop-0.1.7.tar.gz
Algorithm Hash digest
SHA256 77b4019f1e8ab04ff887901ce11d07fb88d074bba3b3ffac06e955a4e774a890
MD5 0c500eb36d4b80b13ca98fb90a23105b
BLAKE2b-256 8bdd1375e24718d54081234cd4659420cac99ebed47dcecd1d8c25395317f540

See more details on using hashes here.

File details

Details for the file napari_crop-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: napari_crop-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 7.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for napari_crop-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 b5a042abf2032b5ee9fb6f9ad6e366030d505bb310db3d3736e6337543599363
MD5 adc7b00efd83dd126648f321a843f38d
BLAKE2b-256 91da1916a5213866d5df5bd39503b2b4ca7fc8b1c15b7816406f8105d8fb1ce1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page