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Since October 1, 2024, this version is no longer actively maintained and will not be updated.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.

Differentiable Potential Field Navigation

napari-potential-field-navigation

A simple plugin for trajectories visualisations in napari for lung navigation in CTs scans

Workflow step:
Image annotation
Image segmentation

License Mozilla Public License 2.0 PyPI Python Version tests codecov napari hub

A simple plugin for trajectories visualisations in napari for lung navigation in CTs scans


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

Installation

You can install napari-potential-field-navigation via pip:

pip install napari-potential-field-navigation

To install latest development version :

pip install git+https://github.com/rcremese/napari-potential-field-navigation.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 Mozilla Public License 2.0 license, "napari-potential-field-navigation" is free and open source software

Issues

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

Version:

  • 0.1.1

Last updated:

  • 02 February 2024

First released:

  • 02 February 2024

License:

Supported data:

  • Information not submitted

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GitHub activity:

  • Stars: 0
  • Forks: 1
  • Issues + PRs: 2

Python versions supported:

Operating system:

Requirements:

  • napari
  • numpy
  • magicgui
  • qtpy
  • scikit-image
  • napari-itk-io
  • taichi