Napari Feature Visualization
Visualizing feature measurements on label images in napari
Visualizing feature measurements on label images in napari
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:
- 0.0.2
Last updated:
- 2025-06-27
First released:
- 2024-07-25
License:
- Copyright (c) 2024, Joel Lueth...
Supported data:
- Information not submitted
Plugin type:
Open extension:
Save extension:
Operating system:
- Information not submitted
Requirements:
- numpy
- magicgui
- qtpy
- scikit-image
- matplotlib
- pandas
- packaging
- tox; extra == "testing"
- pytest; extra == "testing"
- pytest-cov; extra == "testing"
- pytest-qt; extra == "testing"
- napari; extra == "testing"
- pyqt5; extra == "testing"