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# MiVOLO 🚀, Attribution-ShareAlike 4.0
from pathlib import Path
import pkg_resources as pkg
from setuptools import find_packages, setup
# Settings
FILE = Path(__file__).resolve()
PARENT = FILE.parent # root directory
README = (PARENT / "README.md").read_text(encoding="utf-8")
REQUIREMENTS = [f"{x.name}{x.specifier}" for x in pkg.parse_requirements((PARENT / "requirements.txt").read_text())]
exec(open("mivolo/version.py").read())
setup(
name="mivolo", # name of pypi package
version=__version__, # version of pypi package # noqa: F821
python_requires=">=3.8",
description="Layer MiVOLO for SOTA age and gender recognition",
long_description=README,
long_description_content_type="text/markdown",
url="https://github.com/WildChlamydia/MiVOLO",
project_urls={"Datasets": "https://wildchlamydia.github.io/lagenda/"},
author="Layer Team, SberDevices",
author_email="[email protected], [email protected]",
packages=find_packages(include=["mivolo", "mivolo.model", "mivolo.data", "mivolo.data.dataset"]), # required
include_package_data=True,
install_requires=REQUIREMENTS,
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: Attribution-ShareAlike 4.0",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Operating System :: POSIX :: Linux",
"Operating System :: MacOS",
"Operating System :: Microsoft :: Windows",
],
keywords="machine-learning, deep-learning, vision, ML, DL, AI, transformer, mivolo",
)
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