# coding=utf-8
"""
Setup for scikit-surgerytf
"""

from setuptools import setup, find_packages
import versioneer

# Get the long description
with open('README.rst') as f:
    long_description = f.read()

setup(
    name='scikit-surgerytf',
    version=versioneer.get_version(),
    cmdclass=versioneer.get_cmdclass(),
    description='scikit-surgerytf is a Python package for Tensor Flow examples and utilities',
    long_description=long_description,
    long_description_content_type='text/x-rst',
    url='https://github.com/UCL/scikit-surgerytf',
    author='<NAME>',
    author_email='<EMAIL>',
    license='Apache Software License 2.0',
    classifiers=[
        'Development Status :: 3 - Alpha',

        'Intended Audience :: Developers',
        'Intended Audience :: Healthcare Industry',
        'Intended Audience :: Information Technology',
        'Intended Audience :: Science/Research',

        'License :: OSI Approved :: Apache Software License',

        'Programming Language :: Python',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 3',

        'Topic :: Scientific/Engineering :: Information Analysis',
        'Topic :: Scientific/Engineering :: Medical Science Apps.',
    ],

    keywords='medical imaging',

    packages=find_packages(
        exclude=[
            'docs',
            'tests',
        ]
    ),

    install_requires=[
        'pyyaml',
        'h5py',
        'ipykernel',
        'nbsphinx',
        'Pillow',
        'scipy',
        'opencv-contrib-python==4.1.1.26',
        'tensorflow==2.0.0',
        'tensorflow-datasets==1.3.0',
        'matplotlib==3.1.1'
    ],

    entry_points={
        'console_scripts': [
            'sksurgeryfashion=sksurgerytf.ui.sksurgery_fashion_command_line:main',
            'sksurgeryrgbunet=sksurgerytf.ui.sksurgery_rgbunet_command_line:main',
            'sksurgerysegstats=sksurgerytf.ui.sksurgery_segstats_command_line:main'
        ],
    },
)

# coding=utf-8
"""
Setup for scikit-surgerytf
"""

from setuptools import setup, find_packages
import versioneer

# Get the long description
with open('README.rst') as f:
    long_description = f.read()

setup(
    name='scikit-surgerytf',
    version=versioneer.get_version(),
    cmdclass=versioneer.get_cmdclass(),
    description='scikit-surgerytf is a Python package for Tensor Flow examples and utilities',
    long_description=long_description,
    long_description_content_type='text/x-rst',
    url='https://github.com/UCL/scikit-surgerytf',
    author='<NAME>',
    author_email='<EMAIL>',
    license='Apache Software License 2.0',
    classifiers=[
        'Development Status :: 3 - Alpha',

        'Intended Audience :: Developers',
        'Intended Audience :: Healthcare Industry',
        'Intended Audience :: Information Technology',
        'Intended Audience :: Science/Research',

        'License :: OSI Approved :: Apache Software License',

        'Programming Language :: Python',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 3',

        'Topic :: Scientific/Engineering :: Information Analysis',
        'Topic :: Scientific/Engineering :: Medical Science Apps.',
    ],

    keywords='medical imaging',

    packages=find_packages(
        exclude=[
            'docs',
            'tests',
        ]
    ),

    install_requires=[
        'pyyaml',
        'h5py',
        'ipykernel',
        'nbsphinx',
        'Pillow',
        'scipy',
        'opencv-contrib-python==4.1.1.26',
        'tensorflow==2.0.0',
        'tensorflow-datasets==1.3.0',
        'matplotlib==3.1.1'
    ],

    entry_points={
        'console_scripts': [
            'sksurgeryfashion=sksurgerytf.ui.sksurgery_fashion_command_line:main',
            'sksurgeryrgbunet=sksurgerytf.ui.sksurgery_rgbunet_command_line:main',
            'sksurgerysegstats=sksurgerytf.ui.sksurgery_segstats_command_line:main'
        ],
    },
)

# coding=utf-8 Setup for scikit-surgerytf # Get the long description