Napari Feature Visualization

napari-feature-visualization

Visualizing feature measurements on label images in napari

Workflow step:
Image annotation

License BSD-3 PyPI Python Version tests codecov napari hub

Visualizing feature measurements on label images in napari

feature_vis_demo

Supports both loading features from a CSV file or visualizing features saved in the label_layer.features dataframe. Through plugins like the napari OME-Zarr navigator, this enables visualizing feature measurements stored in OME-Zarrs.


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

Installation

You can install napari-feature-visualization via pip:

pip install napari-feature-visualization

To install latest development version :

pip install git+https://github.com/fractal-napari-plugins-collection/napari-feature-visualization.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, "napari-feature-visualization" is free and open source software

Issues

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

Version:

  • 0.0.1

Last updated:

  • 25 July 2024

First released:

  • 25 July 2024

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

  • Stars: 2
  • Forks: 0
  • Issues + PRs: 2

Python versions supported:

Operating system:

Requirements:

  • numpy<2.0
  • magicgui
  • qtpy
  • scikit-image
  • matplotlib
  • pandas
  • packaging