setup.py

# AGPL-3.0 license

import re
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())]


def get_version():
    file = PARENT / 'boxmot/__init__.py'
    version = re.search(r'__version__\s*=\s*[\'\"](.+?)[\'\"]', file.read_text(encoding='utf-8')).group(1)
    return version


setup(
    name='boxmot',  # name of pypi package
    version=get_version(),  # version of pypi package
    python_requires='>=3.7',
    license='AGPL-3.0',
    description=('SOTA tracking methods for detection, segmentation and pose estimation models.'),
    long_description=README,
    long_description_content_type='text/markdown',
    url='https://github.com/mikel-brostrom/yolov8_tracking',
    project_urls={
        'Bug Reports': 'https://github.com/mikel-brostrom/yolo_tracking/issues',
        'Source': 'https://github.com/mikel-brostrom/yolo_tracking'},
    author='Mikel Brostrom',
    author_email='yolov5.deepsort.pytorch@gmail.com',
    packages=find_packages(),  # required
    include_package_data=True,
    install_requires=REQUIREMENTS,
    platforms=["linux", "windows"],
    classifiers=[
        'Development Status :: 3 - Alpha',
        'Intended Audience :: Developers',
        'Intended Audience :: Education',
        'Intended Audience :: Science/Research',
        'License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)',
        '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',
        'Topic :: Scientific/Engineering :: Image Processing',
    ],
    keywords='machine-learning, deep-learning, vision, ML, DL, AI, YOLO',
)