Metadata-Version: 2.3
Name: bio-image-unet
Version: 1.0.1a11
Summary: Implementations of U-Net, Siam U-Net, U-Net++ and 3D U-Net for biological image segmentation
Home-page: https://github.com/danihae/bio-image-unet
License: MIT
Author: Daniel Haertter
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
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: albumentations (>=1.4.24,<2.0.0)
Requires-Dist: matplotlib (==3.*)
Requires-Dist: napari (>=0.4.18,<0.5.0)
Requires-Dist: numpy (>=1.20,<2.0)
Requires-Dist: packaging
Requires-Dist: scikit-image (>0.18,<1.0)
Requires-Dist: tensorboard
Requires-Dist: tifffile
Requires-Dist: torch (==2.*)
Requires-Dist: tqdm (>=4.61,<5.0)
Project-URL: Repository, https://github.com/danihae/bio-image-unet
Description-Content-Type: text/markdown

# Bio Image U-Net

Implementations of U-Net, Siam U-Net and 3D U-Net for biological image segmentation


## Installation
### PyPI
``pip install bio-image-unet``
### GitHub
``pip install git+https://github.com/danihae/bio-image-unet``

## Usage example
Import package with ``import bio_image_unet``

[iPython Notebook for getting started with U-Net](https://github.com/danihae/bio-image-unet/blob/master/using_unet.ipynb) \
[iPython Notebook for getting started with Siam U-Net](https://github.com/danihae/bio-image-unet/blob/master/using_siam_unet.ipynb)

