Metadata-Version: 2.1
Name: brainchop
Version: 0.1.8
Summary: Portable and lightweight brain segmentation using tinygrad
Home-page: https://github.com/neuroneural/brainchop-cli
Author: Mike Doan
Author-email: spikedoanz@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tinygrad
Requires-Dist: requests
Requires-Dist: nibabel

# 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.gz` is your input NIfTI file
- `output.nii.gz` is 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.
