Skip to main content

Transfer mesh data between napari and vedo for interactive processing

Project description

napari-vedo-bridge

License BSD-3 PyPI Python Version tests codecov napari hub

To be able to use interactive processing of meshes in napari, this plugin provides a bridge to the vedo library. It allows to transfer meshes between napari and vedo and to use the interactive processing capabilities of vedo in napari.

Interactive mesh cutting

To interactively cut meshes in the napari-vedo MeshCutter, install the plugin (see below) and open the plugin it from the napari plugins menu (Plugins > Mesh Cutter (napari-vedo-bridge)).

To cut meshes you can use the following cutters:

  • PlaneCutter: cuts a mesh with a plane
  • SphereCutter: cuts a mesh with a sphere
  • BoxCutter: cuts a mesh with a box

To send and get data into and from the plugin, you can:

  • Retrieve the current mesh from napari (click Retrieve mesh from napari) - this imports the currently selected mesh layer from napari
  • Load a mesh from file (click Load mesh)
  • Send a mesh to napari (click Send back to napari) - this creates a new mesh layer in napari

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

Installation

You can install napari-vedo-bridge via pip:

pip install napari-vedo-bridge

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-vedo-bridge" is free and open source software

Issues

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

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-vedo-bridge-0.0.2.tar.gz (8.9 kB view hashes)

Uploaded Source

Built Distribution

napari_vedo_bridge-0.0.2-py3-none-any.whl (8.3 kB view hashes)

Uploaded Python 3

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