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