File size: 1,648 Bytes
717c92d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="imgshape",
version="2.1.3",
description="Smart image shape, dataset analysis, preprocessing & augmentation recommendations for ML workflows",
long_description=long_description,
long_description_content_type="text/markdown",
author="Stifler",
author_email="stiflerxd.ai@cudabit.live",
packages=find_packages(where="src"),
package_dir={"": "src"},
install_requires=[
"Pillow>=9.0.0",
"numpy>=1.21.0",
"matplotlib>=3.4.0",
"scikit-image>=0.19.0",
"gradio>=3.0.0",
# seaborn kept optional in pyproject, but safe to leave if you always want it
"seaborn>=0.11.0",
],
extras_require={
"torch": ["torch>=1.12.0", "torchvision>=0.13.0"],
"pdf": ["weasyprint>=53.0"],
"dev": ["pytest>=7.0", "black>=23.0", "flake8>=3.9", "pre-commit>=2.20"],
},
entry_points={
"console_scripts": [
"imgshape=imgshape.cli:main",
]
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Image Recognition",
],
python_requires=">=3.8",
keywords="images dataset visualization augmentation pytorch ml",
url="https://github.com/STiFLeR7/imgshape",
project_urls={
"Source": "https://github.com/STiFLeR7/imgshape",
"Issues": "https://github.com/STiFLeR7/imgshape/issues",
},
)
|