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A yet experimental OpenCL-based Random Forest based Pixel Classifier

Project description

napari-oclrfc

License PyPI Python Version tests codecov

py-clEsperanto meets scikit-learn

A yet experimental OpenCL-based Random Forest Classifier for pixel classification in napari.

For using OpenCL-based Random Forest Classifiers for pixel classification in python, check out oclrfc.


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

Installation

You can install napari-oclrfc via pip. Note: you also need pyopencl.

conda install pyopencl
pip install napari-oclrfc

In case of issues in napari, make sure these dependencies are installed properly:

pip install pyclesperanto_prototype==0.9.2
pip install oclrfc==0.1.1

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-oclrfc" is free and open source software

Issues

If you encounter any problems, please open a thread on image.sc along with a detailed description and tag @haesleinhuepf.

Project details


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napari-oclrfc-0.1.1.tar.gz (4.5 kB view hashes)

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napari_oclrfc-0.1.1-py3-none-any.whl (5.1 kB view hashes)

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