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setup.py
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# MIT License
#
# Copyright (c) 2022 Resha Dwika Hefni Al-Fahsi
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# ==============================================================================
from pathlib import Path
from setuptools import setup, find_packages
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
# read version
version = {}
version_file_contents = (this_directory / "covid19ct3d" / "version.py").read_text()
exec(version_file_contents, version)
setup(
name="covid19ct3d",
version=version['__version__'],
author="Resha Dwika Hefni Al-Fahsi",
author_email='[email protected]',
description="COVID-19 Classification from 3D CT Images",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/reshalfahsi/covid19ct3d",
packages=find_packages(exclude=["tests"]),
python_requires=">=3.6",
install_requires=['numpy',
'ptflops',
'torch',
'nibabel',
'scipy',
'matplotlib',
'moviepy',
'typer'],
include_package_data=True,
classifiers=[
"Development Status :: 5 - Production/Stable",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Education",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
],
keywords="machine-learning, deep-learning, ml, pytorch, vision, medical-imaging",
entry_points={"console_scripts": ["covid19ct3d=covid19ct3d.__main__:app"]},
)