Portable and lightweight brain segmentation using tinygrad
Project description
BrainChop
BrainChop is a lightweight tool for brain segmentation that runs on pretty much everything.
Installation
You can install BrainChop using pip:
pip install brainchop
Usage
To use BrainChop, run the following command:
brainchop input.nii.gz -o output.nii.gz
Where:
input.nii.gzis your input NIfTI fileoutput.nii.gzis the desired output file name
Requirements
- Python 3.6+
- tinygrad : our tiny and portable (but powerful) ML inference engine
- numpy : basic tensor operations
- nibabel : to read nifti files
- requests : to download models
License
This project is licensed under the MIT License.
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brainchop-0.1.7.tar.gz
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brainchop-0.1.7-py3-none-any.whl
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