| from setuptools import setup, find_namespace_packages | |
| setup(name='ccsdg', | |
| packages=find_namespace_packages(include=["ccsdg", "ccsdg.*"]), | |
| version='0.0.1', | |
| description='Channel-level Contrastive Single Domain Generalization for Medical Image Segmentation', | |
| author='Shishuai Hu', | |
| author_email='sshu@mail.nwpu.edu.cn', | |
| license='MIT License', | |
| install_requires=[ | |
| "torch>=1.6.0a", | |
| "torchvision" | |
| "tqdm", | |
| "dicom2nifti", | |
| "scikit-image>=0.14", | |
| "medpy", | |
| "scipy", | |
| "batchgenerators>=0.21", | |
| "numpy", | |
| "sklearn", | |
| "SimpleITK", | |
| "pandas", | |
| "requests", | |
| "hiddenlayer", "graphviz", "IPython", | |
| "nibabel", 'tifffile', | |
| "tensorboard" | |
| ], | |
| entry_points={ | |
| 'console_scripts': [ | |
| 'ccsdg_train = ccsdg.training.run_training:main', | |
| 'ccsdg_test = ccsdg.inference.run_inference:main', | |
| ], | |
| }, | |
| keywords=['deep learning', 'image segmentation', 'medical image analysis', | |
| 'medical image segmentation', 'single domain generalization', 'contrastive learning'] | |
| ) | |