Metadata-Version: 2.1
Name: armcrop
Version: 0.1.0
Summary: 
Author: Your Name
Author-email: you@example.com
Requires-Python: >=3.12,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: huggingface-hub (>=0.25.1,<0.26.0)
Requires-Dist: networkx (>=3.3,<4.0)
Requires-Dist: numpy (==1.*)
Requires-Dist: onnxruntime (==1.18)
Requires-Dist: pandas (>=2.2.3,<3.0.0)
Requires-Dist: simpleitk (>=2.4.0,<3.0.0)
Description-Content-Type: text/markdown

# *armcrop*

<!-- [![PyPI Latest Release](https://img.shields.io/pypi/v/shoulder.svg)](https://pypi.org/project/shoulder/) -->
<!-- [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) -->

This package contains a machine learning model that can crop a CT scan to any of the following classes:
- clavicle
- scapula
- humerus
- radius_ulna
- hand
<!-- 

## Installation
compatible with python 3.10 and 3.11
```
pip install upperlimb_crop
```



## Contributing 
Clone the repo, open the cloned folder containing the poetry.lock file, then install the development dependencies using poetry. 
```
poetry install --with dev
``` -->


