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pillow | ||
torch | ||
torch>=1.1 | ||
torchvision | ||
lazy_import |
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import os | ||
import sys | ||
import platform | ||
import subprocess | ||
import time | ||
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from setuptools import find_packages, setup, Extension, dist | ||
dist.Distribution().fetch_build_eggs(['Cython', 'numpy>=1.11.1', 'torch']) | ||
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import numpy as np | ||
from Cython.Build import cythonize # noqa: E402 | ||
import torch | ||
from torch.utils.cpp_extension import BuildExtension, CUDAExtension | ||
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def readme(): | ||
with open('README.md', encoding='utf-8') as f: | ||
content = f.read() | ||
return content | ||
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MAJOR = 0 | ||
MINOR = 1 | ||
PATCH = '' | ||
SUFFIX = 'rc0' | ||
SHORT_VERSION = '{}.{}.{}{}'.format(MAJOR, MINOR, PATCH, SUFFIX) | ||
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version_file = 'mmskeleton/version.py' | ||
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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 | ||
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try: | ||
out = _minimal_ext_cmd(['git', 'rev-parse', 'HEAD']) | ||
sha = out.strip().decode('ascii') | ||
except OSError: | ||
sha = 'unknown' | ||
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return sha | ||
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def get_hash(): | ||
if os.path.exists('.git'): | ||
sha = get_git_hash()[:7] | ||
elif os.path.exists(version_file): | ||
try: | ||
from mmskeleton.version import __version__ | ||
sha = __version__.split('+')[-1] | ||
except ImportError: | ||
raise ImportError('Unable to get git version') | ||
else: | ||
sha = 'unknown' | ||
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return sha | ||
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def write_version_py(): | ||
content = """# GENERATED VERSION FILE | ||
# TIME: {} | ||
__version__ = '{}' | ||
short_version = '{}' | ||
mmskl_home = '{}' | ||
""" | ||
sha = get_hash() | ||
VERSION = SHORT_VERSION + '+' + sha | ||
MMSKELETON_HOME = os.path.dirname(os.path.realpath(__file__)) | ||
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with open(version_file, 'w') as f: | ||
f.write( | ||
content.format(time.asctime(), VERSION, SHORT_VERSION, | ||
MMSKELETON_HOME)) | ||
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def get_version(): | ||
with open(version_file, 'r') as f: | ||
exec(compile(f.read(), version_file, 'exec')) | ||
return locals()['__version__'] | ||
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def get_requirements(filename='requirements.txt'): | ||
here = os.path.dirname(os.path.realpath(__file__)) | ||
with open(os.path.join(here, filename), 'r') as f: | ||
requires = [line.replace('\n', '') for line in f.readlines()] | ||
return requires | ||
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def make_cython_ext(name, module, sources): | ||
extra_compile_args = None | ||
if platform.system() != 'Windows': | ||
extra_compile_args = { | ||
'cxx': ['-Wno-unused-function', '-Wno-write-strings'] | ||
} | ||
extension = Extension('{}.{}'.format( | ||
module, name), [os.path.join(*module.split('.'), p) for p in sources], | ||
include_dirs=[np.get_include()], | ||
language='c++', | ||
extra_compile_args=extra_compile_args) | ||
extension, = cythonize(extension) | ||
return extension | ||
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def make_cuda_ext(name, module, sources, include_dirs=[]): | ||
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define_macros = [] | ||
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if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1': | ||
define_macros += [("WITH_CUDA", None)] | ||
else: | ||
raise EnvironmentError('CUDA is required to compile MMSkeleton!') | ||
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return CUDAExtension( | ||
name='{}.{}'.format(module, name), | ||
sources=[os.path.join(*module.split('.'), p) for p in sources], | ||
define_macros=define_macros, | ||
include_dirs=include_dirs, | ||
extra_compile_args={ | ||
'cxx': [], | ||
'nvcc': [ | ||
'-D__CUDA_NO_HALF_OPERATORS__', | ||
'-D__CUDA_NO_HALF_CONVERSIONS__', | ||
'-D__CUDA_NO_HALF2_OPERATORS__', | ||
] | ||
}) | ||
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if __name__ == '__main__': | ||
write_version_py() | ||
setup( | ||
name='mmskeleton', | ||
version=get_version(), | ||
scripts=['./tools/mmskl'], | ||
description='Open MMLab Skeleton-based Human Understanding Toolbox', | ||
long_description=readme(), | ||
keywords='computer vision, human understanding, action recognition', | ||
url='https://github.com/open-mmlab/mmskeleton', | ||
packages=find_packages(exclude=('configs', 'tools', 'demo')), | ||
package_data={'mmskeleton.ops': ['*/*.so']}, | ||
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', | ||
], | ||
license='Apache License 2.0', | ||
setup_requires=['pytest-runner'], | ||
tests_require=['pytest'], | ||
dependency_links=[ | ||
'git+https://github.com/open-mmlab/mmdetection/tarball/master/#egg=mmdet' | ||
], | ||
install_requires=get_requirements() + ['mmdet'], | ||
ext_modules=[ | ||
make_cython_ext(name='cpu_nms', | ||
module='mmskeleton.ops.nms', | ||
sources=['cpu_nms.pyx']), | ||
make_cuda_ext(name='gpu_nms', | ||
module='mmskeleton.ops.nms', | ||
sources=['nms_kernel.cu', 'gpu_nms.pyx'], | ||
include_dirs=[np.get_include()]), | ||
], | ||
cmdclass={'build_ext': BuildExtension}, | ||
zip_safe=False) |
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