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#!/usr/bin/env python
from setuptools import find_packages, setup
import os
import subprocess
import sys
import time
import torch
from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension
version_file = './basicsr/version.py'
def readme():
with open('README.md', encoding='utf-8') 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 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__ = '{}'
__gitsha__ = '{}'
version_info = ({})
"""
sha = get_hash()
with open('./basicsr/VERSION', 'r') as f:
SHORT_VERSION = f.read().strip()
VERSION_INFO = ', '.join([x if x.isdigit() else f'"{x}"' for x in SHORT_VERSION.split('.')])
version_file_str = content.format(time.asctime(), SHORT_VERSION, sha, VERSION_INFO)
with open(version_file, 'w') as f:
f.write(version_file_str)
def get_version():
with open(version_file, 'r') as f:
exec(compile(f.read(), version_file, 'exec'))
return locals()['__version__']
def make_cuda_ext(name, module, sources, sources_cuda=None):
if sources_cuda is None:
sources_cuda = []
define_macros = []
extra_compile_args = {'cxx': []}
if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1':
define_macros += [('WITH_CUDA', None)]
extension = CUDAExtension
extra_compile_args['nvcc'] = [
'-D__CUDA_NO_HALF_OPERATORS__',
'-D__CUDA_NO_HALF_CONVERSIONS__',
'-D__CUDA_NO_HALF2_OPERATORS__',
]
sources += sources_cuda
else:
print(f'Compiling {name} without CUDA')
extension = CppExtension
return extension(
name=f'{module}.{name}',
sources=[os.path.join(*module.split('.'), p) for p in sources],
define_macros=define_macros,
extra_compile_args=extra_compile_args)
def get_requirements(filename='requirements.txt'):
with open(os.path.join('.', filename), 'r') as f:
requires = [line.replace('\n', '') for line in f.readlines()]
return requires
if __name__ == '__main__':
if '--cuda_ext' in sys.argv:
ext_modules = [
make_cuda_ext(
name='deform_conv_ext',
module='ops.dcn',
sources=['src/deform_conv_ext.cpp'],
sources_cuda=['src/deform_conv_cuda.cpp', 'src/deform_conv_cuda_kernel.cu']),
make_cuda_ext(
name='fused_act_ext',
module='ops.fused_act',
sources=['src/fused_bias_act.cpp'],
sources_cuda=['src/fused_bias_act_kernel.cu']),
make_cuda_ext(
name='upfirdn2d_ext',
module='ops.upfirdn2d',
sources=['src/upfirdn2d.cpp'],
sources_cuda=['src/upfirdn2d_kernel.cu']),
]
sys.argv.remove('--cuda_ext')
else:
ext_modules = []
write_version_py()
setup(
name='basicsr',
version=get_version(),
description='Open Source Image and Video Super-Resolution Toolbox',
long_description=readme(),
long_description_content_type='text/markdown',
author='Xintao Wang',
author_email='xintao.wang@outlook.com',
keywords='computer vision, restoration, super resolution',
url='https://github.com/xinntao/BasicSR',
include_package_data=True,
packages=find_packages(exclude=('options', 'datasets', 'experiments', 'results', 'tb_logger', 'wandb')),
classifiers=[
'Development Status :: 4 - Beta',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
license='Apache License 2.0',
setup_requires=['cython', 'numpy'],
install_requires=get_requirements(),
ext_modules=ext_modules,
cmdclass={'build_ext': BuildExtension},
zip_safe=False)
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