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setup.py
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setup.py
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import os
import subprocess
import time
from setuptools import find_packages, setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
MAJOR = 0
MINOR = 1
PATCH = 0
SUFFIX = ''
SHORT_VERSION = '{}.{}.{}{}'.format(MAJOR, MINOR, PATCH, SUFFIX)
version_file = 'hybrik/version.py'
def readme():
with open('README.md') as f:
content = f.read()
return content
def get_git_hash():
def _minimal_ext_cmd(cmd):
# construct minimal environment
env = {}
for k in ['SYSTEMROOT', 'PATH', 'HOME']:
v = os.environ.get(k)
if v is not None:
env[k] = v
# LANGUAGE is used on win32
env['LANGUAGE'] = 'C'
env['LANG'] = 'C'
env['LC_ALL'] = 'C'
out = subprocess.Popen(
cmd, stdout=subprocess.PIPE, env=env).communicate()[0]
return out
try:
out = _minimal_ext_cmd(['git', 'rev-parse', 'HEAD'])
sha = out.strip().decode('ascii')
except OSError:
sha = 'unknown'
return sha
def get_hash():
if os.path.exists('.git'):
sha = get_git_hash()[:7]
elif os.path.exists(version_file):
try:
from hybrik.version import __version__
sha = __version__.split('+')[-1]
except ImportError:
raise ImportError('Unable to get git version')
else:
sha = 'unknown'
return sha
def write_version_py():
content = """# GENERATED VERSION FILE
# TIME: {}
__version__ = '{}'
short_version = '{}'
"""
sha = get_hash()
VERSION = SHORT_VERSION + '+' + sha
with open(version_file, 'w') as f:
f.write(content.format(time.asctime(), VERSION, SHORT_VERSION))
def make_cuda_ext(name, module, sources):
return CUDAExtension(
name='{}.{}'.format(module, name),
sources=[os.path.join(*module.split('.'), p) for p in sources],
extra_compile_args={
'cxx': [],
'nvcc': [
'-D__CUDA_NO_HALF_OPERATORS__',
'-D__CUDA_NO_HALF_CONVERSIONS__',
'-D__CUDA_NO_HALF2_OPERATORS__',
]
})
def get_version():
with open(version_file, 'r') as f:
exec(compile(f.read(), version_file, 'exec'))
return locals()['__version__']
if __name__ == '__main__':
write_version_py()
setup(
name='hybrik',
version=get_version(),
description='Code for HybrIK',
long_description=readme(),
keywords='computer vision, human pose and shape estimation',
packages=find_packages(exclude=('data', 'exp',)),
package_data={'': ['*.json', '*.txt']},
classifiers=[
'Development Status :: 4 - Beta',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
],
license='GPLv3',
setup_requires=['pytest-runner'],
tests_require=['pytest'],
install_requires=[
'numpy', 'six', 'terminaltables', 'scipy==1.1.0',
'cython', 'opencv-python==4.1.2.30', 'matplotlib', 'visdom',
'pycocotools', 'tqdm', 'tensorboardx', 'easydict', 'chumpy',
'pyyaml', 'tb-nightly', 'future', 'opendr', 'ffmpeg-python'
],
cmdclass={'build_ext': BuildExtension},
zip_safe=False)