OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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300 lines
10 KiB
300 lines
10 KiB
#!/usr/bin/env python |
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import os |
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import subprocess |
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import time |
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from setuptools import find_packages, setup |
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import torch |
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from torch.utils.cpp_extension import (BuildExtension, CppExtension, |
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CUDAExtension) |
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def readme(): |
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with open('README.md', encoding='utf-8') as f: |
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content = f.read() |
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return content |
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version_file = 'mmdet/version.py' |
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def get_git_hash(): |
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def _minimal_ext_cmd(cmd): |
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# construct minimal environment |
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env = {} |
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for k in ['SYSTEMROOT', 'PATH', 'HOME']: |
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v = os.environ.get(k) |
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if v is not None: |
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env[k] = v |
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# LANGUAGE is used on win32 |
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env['LANGUAGE'] = 'C' |
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env['LANG'] = 'C' |
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env['LC_ALL'] = 'C' |
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out = subprocess.Popen( |
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cmd, stdout=subprocess.PIPE, env=env).communicate()[0] |
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return out |
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try: |
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out = _minimal_ext_cmd(['git', 'rev-parse', 'HEAD']) |
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sha = out.strip().decode('ascii') |
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except OSError: |
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sha = 'unknown' |
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return sha |
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def get_hash(): |
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if os.path.exists('.git'): |
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sha = get_git_hash()[:7] |
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elif os.path.exists(version_file): |
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try: |
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from mmdet.version import __version__ |
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sha = __version__.split('+')[-1] |
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except ImportError: |
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raise ImportError('Unable to get git version') |
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else: |
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sha = 'unknown' |
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return sha |
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def write_version_py(): |
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content = """# GENERATED VERSION FILE |
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# TIME: {} |
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__version__ = '{}' |
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short_version = '{}' |
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version_info = ({}) |
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""" |
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sha = get_hash() |
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with open('mmdet/VERSION', 'r') as f: |
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SHORT_VERSION = f.read().strip() |
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VERSION_INFO = ', '.join(SHORT_VERSION.split('.')) |
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VERSION = SHORT_VERSION + '+' + sha |
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version_file_str = content.format(time.asctime(), VERSION, SHORT_VERSION, |
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VERSION_INFO) |
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with open(version_file, 'w') as f: |
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f.write(version_file_str) |
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def get_version(): |
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with open(version_file, 'r') as f: |
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exec(compile(f.read(), version_file, 'exec')) |
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return locals()['__version__'] |
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def make_cuda_ext(name, module, sources, sources_cuda=[]): |
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define_macros = [] |
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extra_compile_args = {'cxx': []} |
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if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1': |
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define_macros += [('WITH_CUDA', None)] |
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extension = CUDAExtension |
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extra_compile_args['nvcc'] = [ |
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'-D__CUDA_NO_HALF_OPERATORS__', |
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'-D__CUDA_NO_HALF_CONVERSIONS__', |
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'-D__CUDA_NO_HALF2_OPERATORS__', |
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] |
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sources += sources_cuda |
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else: |
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print(f'Compiling {name} without CUDA') |
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extension = CppExtension |
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# raise EnvironmentError('CUDA is required to compile MMDetection!') |
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return extension( |
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name=f'{module}.{name}', |
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sources=[os.path.join(*module.split('.'), p) for p in sources], |
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define_macros=define_macros, |
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extra_compile_args=extra_compile_args) |
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def parse_requirements(fname='requirements.txt', with_version=True): |
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""" |
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Parse the package dependencies listed in a requirements file but strips |
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specific versioning information. |
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Args: |
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fname (str): path to requirements file |
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with_version (bool, default=False): if True include version specs |
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Returns: |
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List[str]: list of requirements items |
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CommandLine: |
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python -c "import setup; print(setup.parse_requirements())" |
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""" |
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import sys |
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from os.path import exists |
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import re |
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require_fpath = fname |
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def parse_line(line): |
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""" |
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Parse information from a line in a requirements text file |
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""" |
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if line.startswith('-r '): |
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# Allow specifying requirements in other files |
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target = line.split(' ')[1] |
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for info in parse_require_file(target): |
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yield info |
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else: |
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info = {'line': line} |
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if line.startswith('-e '): |
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info['package'] = line.split('#egg=')[1] |
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else: |
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# Remove versioning from the package |
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pat = '(' + '|'.join(['>=', '==', '>']) + ')' |
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parts = re.split(pat, line, maxsplit=1) |
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parts = [p.strip() for p in parts] |
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info['package'] = parts[0] |
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if len(parts) > 1: |
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op, rest = parts[1:] |
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if ';' in rest: |
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# Handle platform specific dependencies |
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# http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies |
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version, platform_deps = map(str.strip, |
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rest.split(';')) |
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info['platform_deps'] = platform_deps |
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else: |
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version = rest # NOQA |
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info['version'] = (op, version) |
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yield info |
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def parse_require_file(fpath): |
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with open(fpath, 'r') as f: |
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for line in f.readlines(): |
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line = line.strip() |
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if line and not line.startswith('#'): |
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for info in parse_line(line): |
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yield info |
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def gen_packages_items(): |
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if exists(require_fpath): |
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for info in parse_require_file(require_fpath): |
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parts = [info['package']] |
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if with_version and 'version' in info: |
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parts.extend(info['version']) |
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if not sys.version.startswith('3.4'): |
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# apparently package_deps are broken in 3.4 |
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platform_deps = info.get('platform_deps') |
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if platform_deps is not None: |
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parts.append(';' + platform_deps) |
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item = ''.join(parts) |
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yield item |
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packages = list(gen_packages_items()) |
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return packages |
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if __name__ == '__main__': |
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write_version_py() |
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setup( |
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name='mmdet', |
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version=get_version(), |
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description='Open MMLab Detection Toolbox and Benchmark', |
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long_description=readme(), |
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author='OpenMMLab', |
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author_email='chenkaidev@gmail.com', |
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keywords='computer vision, object detection', |
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url='https://github.com/open-mmlab/mmdetection', |
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packages=find_packages(exclude=('configs', 'tools', 'demo')), |
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package_data={'mmdet.ops': ['*/*.so']}, |
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classifiers=[ |
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'Development Status :: 4 - Beta', |
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'License :: OSI Approved :: Apache Software License', |
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'Operating System :: OS Independent', |
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'Programming Language :: Python :: 3', |
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'Programming Language :: Python :: 3.5', |
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'Programming Language :: Python :: 3.6', |
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'Programming Language :: Python :: 3.7', |
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], |
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license='Apache License 2.0', |
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setup_requires=parse_requirements('requirements/build.txt'), |
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tests_require=parse_requirements('requirements/tests.txt'), |
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install_requires=parse_requirements('requirements/runtime.txt'), |
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extras_require={ |
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'all': parse_requirements('requirements.txt'), |
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'tests': parse_requirements('requirements/tests.txt'), |
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'build': parse_requirements('requirements/build.txt'), |
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'optional': parse_requirements('requirements/optional.txt'), |
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}, |
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ext_modules=[ |
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make_cuda_ext( |
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name='compiling_info', |
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module='mmdet.ops.utils', |
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sources=['src/compiling_info.cpp']), |
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make_cuda_ext( |
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name='nms_ext', |
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module='mmdet.ops.nms', |
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sources=['src/nms_ext.cpp', 'src/cpu/nms_cpu.cpp'], |
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sources_cuda=[ |
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'src/cuda/nms_cuda.cpp', 'src/cuda/nms_kernel.cu' |
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]), |
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make_cuda_ext( |
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name='roi_align_ext', |
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module='mmdet.ops.roi_align', |
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sources=[ |
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'src/roi_align_ext.cpp', |
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'src/cpu/roi_align_v2.cpp', |
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], |
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sources_cuda=[ |
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'src/cuda/roi_align_kernel.cu', |
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'src/cuda/roi_align_kernel_v2.cu' |
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]), |
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make_cuda_ext( |
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name='roi_pool_ext', |
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module='mmdet.ops.roi_pool', |
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sources=['src/roi_pool_ext.cpp'], |
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sources_cuda=['src/cuda/roi_pool_kernel.cu']), |
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make_cuda_ext( |
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name='deform_conv_ext', |
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module='mmdet.ops.dcn', |
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sources=['src/deform_conv_ext.cpp'], |
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sources_cuda=[ |
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'src/cuda/deform_conv_cuda.cpp', |
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'src/cuda/deform_conv_cuda_kernel.cu' |
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]), |
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make_cuda_ext( |
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name='deform_pool_ext', |
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module='mmdet.ops.dcn', |
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sources=['src/deform_pool_ext.cpp'], |
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sources_cuda=[ |
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'src/cuda/deform_pool_cuda.cpp', |
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'src/cuda/deform_pool_cuda_kernel.cu' |
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]), |
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make_cuda_ext( |
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name='sigmoid_focal_loss_ext', |
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module='mmdet.ops.sigmoid_focal_loss', |
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sources=['src/sigmoid_focal_loss_ext.cpp'], |
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sources_cuda=['src/cuda/sigmoid_focal_loss_cuda.cu']), |
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make_cuda_ext( |
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name='masked_conv2d_ext', |
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module='mmdet.ops.masked_conv', |
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sources=['src/masked_conv2d_ext.cpp'], |
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sources_cuda=[ |
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'src/cuda/masked_conv2d_cuda.cpp', |
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'src/cuda/masked_conv2d_kernel.cu' |
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]), |
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make_cuda_ext( |
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name='carafe_ext', |
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module='mmdet.ops.carafe', |
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sources=['src/carafe_ext.cpp'], |
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sources_cuda=[ |
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'src/cuda/carafe_cuda.cpp', |
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'src/cuda/carafe_cuda_kernel.cu' |
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]), |
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make_cuda_ext( |
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name='carafe_naive_ext', |
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module='mmdet.ops.carafe', |
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sources=['src/carafe_naive_ext.cpp'], |
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sources_cuda=[ |
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'src/cuda/carafe_naive_cuda.cpp', |
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'src/cuda/carafe_naive_cuda_kernel.cu' |
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]) |
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], |
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cmdclass={'build_ext': BuildExtension}, |
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zip_safe=False)
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