A plugin that integrates the ROXAS AI analysis methods for quantitative wood anatomy in the napari platform
A plugin that integrates the ROXAS AI analysis methods for quantitative wood anatomy in the napari platform
This napari plugin was generated with copier using the napari-plugin-template.
It's recommended to create a dedicated Python environment for napari-roxas-ai:
Install Miniconda if you don't have it already: Miniconda Installation Guide
Create a new environment:
conda create -n roxas-ai python=3.12
conda activate roxas-ai
Install napari-roxas-ai via pip:
pip install napari-roxas-ai
Once installed, you can launch napari with the roxas-ai plugin:
napari
To check if the plugin is working correctly:
File > Open Sample > ROXAS AI in the napari interface.If you want to use GPU acceleration for model inference:
Ensure you have the proper GPU drivers and CUDA installed for your system:
Enable GPU support in the napari-roxas-ai settings within the napari interface.
You may need to reinstall PyTorch with CUDA support for your specific hardware: Visit the PyTorch Installation Guide to find the appropriate installation command for your setup.
Contributions are very welcome. Tests are automatically run with tox, please ensure the coverage at least stays the same before you submit a pull request.
In order to contribute to the development of the plugin the installation can be done as follows:
conda create -n roxas-ai python=3.12
conda activate roxas-ai
pip install -e .
pip install -e ".[testing]"
pip install npe2
pip install pre-commit
pre-commit install
You can find more information on the plugin template on the napari-plugin-template repository. You can find more information on plugin contributions and how to create plugins on the plugins section of the napari documentation.
Distributed under the terms of the GNU GPL v3.0 license, "napari-roxas-ai" is free and open source software
If you encounter any problems, please file an issue along with a detailed description.
FAQs
A plugin that integrates the ROXAS AI analysis methods for quantitative wood anatomy in the napari platform
We found that napari-roxas-ai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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