Metadata-Version: 2.3
Name: ct-leg-bone-split-patch
Version: 0.1.2
Summary: Given a 128×128 grayscale image representing a CT cross-sectional slice, identify bone tissue from it and generate a binary mask.
License: MIT
Author: GGN_2015
Author-email: neko@jlulug.org
Requires-Python: >=3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: numpy
Requires-Dist: opencv-python
Requires-Dist: pillow
Requires-Dist: torch
Requires-Dist: torchvision
Description-Content-Type: text/markdown

# ct_leg_bone_split_patch
Given a 128×128 grayscale image representing a CT cross-sectional slice, identify bone tissue from it and generate a binary mask.

## Installation
```bash
pip install ct_leg_bone_split_patch
```

## Usage
```python
from PIL import Image
from ct_leg_bone_split_patch import map_image

img_in  = Image.open("path/to/file")
img_out = map_image(img_in)

img_out.save("path/to_file")
```

