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A plugin for segmenting images using AI models via the Segment-Flow Nextflow pipeline.

Project description

AIoD Napari Plugin

Napari plugin part of AI OnDemand (AIoD) to provide an accessible interface for running deep learning models on images via our Nextflow pipeline.


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

Installation

See our latest installation information in our documentation!

In general, you should see the official Napari installation instructions first to ensure Napari is installed with an appropriate Qt backend.

uv

A uv.lock file is provided for smoother installation:

uv add aiod_napari

Conda

We have also provided a conda environment file to install all the dependencies for this plugin. To install the environment, run the following command:

conda env create -f ai-od.yml

Note that when it comes to the installation of napari this may be preferable, depending on whether your system is best supported by the pip- or conda-packaged version.

Usage

For general usage of the plugin, see the documentation.

For developers, see our developer guide for some tips on how to get started and contribute to the plugin.

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.

Issues

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

Project details


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This version

0.1

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