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setup.py
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setup.py
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import io
import os
from os import path
import re
from setuptools import setup, find_packages
# To use consisten encodings
from codecs import open
# Function from: https://github.com/pytorch/vision/blob/master/setup.py
def read(*names, **kwargs):
with io.open(
os.path.join(os.path.dirname(__file__), *names),
encoding=kwargs.get("encoding", "utf8")
) as fp:
return fp.read()
# Function from: https://github.com/pytorch/vision/blob/master/setup.py
def find_version(*file_paths):
version_file = read(*file_paths)
version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
version_file, re.M)
if version_match:
return version_match.group(1)
raise RuntimeError("Unable to find version string.")
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as readme_file:
long_description = readme_file.read()
VERSION = find_version('face_alignment', '__init__.py')
requirements = [
'torch',
'numpy',
'scipy>=0.17',
'scikit-image',
'opencv-contrib-python-headless',
'tqdm',
'numba',
'enum34;python_version<"3.4"'
]
setup(
name='face_alignment',
version=VERSION,
description="Detector 2D or 3D face landmarks from Python",
long_description=long_description,
long_description_content_type="text/markdown",
# Author details
author="Adrian Bulat",
author_email="[email protected]",
url="https://github.com/1adrianb/face-alignment",
# Package info
packages=find_packages(exclude=('test',)),
python_requires='>=3',
install_requires=requirements,
license='BSD',
zip_safe=True,
classifiers=[
'Development Status :: 5 - Production/Stable',
'Operating System :: OS Independent',
'License :: OSI Approved :: BSD License',
'Natural Language :: English',
# Supported python versions
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
],
)