solt/setup.py at master · sarytky/solt · GitHub

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""The setup script."""

from setuptools import find_packages, setup

requirements = (
    "numpy>=2.0.0",
    "scipy>=1.13.0",
    "opencv-python-headless>=4.6.0.66",
    "torch>=2.6.0",
    "torchvision>=0.21.0",
    "pyyaml>=6.0.2",
)

setup_requirements = ()

test_requirements = ("pytest",)

description = """Data augmentation library for Deep Learning, which supports images, segmentation masks, labels and keypoints.
Furthermore, SOLT is fast and has OpenCV in its backend.
Full auto-generated docs and
examples are available here: https://imedslab.github.io/solt/.

"""

setup(
    author="Aleksei Tiulpin",
    author_email="aleksei.tiulpin@oulu.fi",
    classifiers=[
        "Development Status :: 5 - Production/Stable",
        "Intended Audience :: Science/Research",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: MIT License",
        "Natural Language :: English",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Programming Language :: Python :: 3.12",
        "Operating System :: MacOS",
        "Operating System :: POSIX :: Linux",
    ],
    description="Optimized data augmentation library for Deep Learning",
    install_requires=requirements,
    license="MIT license",
    long_description=description,
    include_package_data=True,
    keywords="data augmentations, deeep learning",
    name="solt",
    packages=find_packages(include=["solt"]),
    setup_requires=setup_requirements,
    test_suite="tests",
    tests_require=test_requirements,
    url="https://github.com/imedslab/solt",
    version="0.2.1",
    zip_safe=False,
)