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setup.py
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setup.py
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import io
import os
import re
import setuptools
def get_long_description():
base_dir = os.path.abspath(os.path.dirname(__file__))
with io.open(os.path.join(base_dir, "README.md"), encoding="utf-8") as f:
return f.read()
def get_requirements():
with open("requirements.txt", encoding="utf8") as f:
return f.read().splitlines()
def get_version():
current_dir = os.path.abspath(os.path.dirname(__file__))
version_file = os.path.join(current_dir, "sahi", "__init__.py")
with io.open(version_file, encoding="utf-8") as f:
return re.search(r'^__version__ = [\'"]([^\'"]*)[\'"]', f.read(), re.M).group(1)
setuptools.setup(
name="sahi",
version=get_version(),
author="OBSS",
license="MIT",
description="A vision library for performing sliced inference on large images/small objects",
long_description=get_long_description(),
long_description_content_type="text/markdown",
url="https://github.com/obss/sahi",
packages=setuptools.find_packages(exclude=["demo", "docs", "resources", "tests", "scripts"]),
python_requires=">=3.6",
install_requires=get_requirements(),
extras_require={
"tests": ["mmdet==3.0.0", "pycocotools==2.0.6"],
"dev": [
"black==22.3.0",
"flake8==3.9.2",
"importlib-metadata>=1.1.0,<4.3;python_version<'3.8'",
"isort==5.9.2",
"jupyterlab==3.0.14",
],
},
classifiers=[
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"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 :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
],
entry_points={
"console_scripts": [
"sahi=sahi.cli:app",
],
},
)