A yet experimental OpenCL-based Random Forest based Pixel Classifier
Project description
napari-oclrfc
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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