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| #!/usr/bin/env python | |
| # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved | |
| import glob | |
| import os | |
| import shutil | |
| from os import path | |
| from setuptools import find_packages, setup | |
| from typing import List | |
| import torch | |
| from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension | |
| torch_ver = [int(x) for x in torch.__version__.split(".")[:2]] | |
| assert torch_ver >= [1, 4], "Requires PyTorch >= 1.4" | |
| def get_version(): | |
| init_py_path = path.join(path.abspath(path.dirname(__file__)), "detectron2", "__init__.py") | |
| init_py = open(init_py_path, "r").readlines() | |
| version_line = [l.strip() for l in init_py if l.startswith("__version__")][0] | |
| version = version_line.split("=")[-1].strip().strip("'\"") | |
| # The following is used to build release packages. | |
| # Users should never use it. | |
| suffix = os.getenv("D2_VERSION_SUFFIX", "") | |
| version = version + suffix | |
| if os.getenv("BUILD_NIGHTLY", "0") == "1": | |
| from datetime import datetime | |
| date_str = datetime.today().strftime("%y%m%d") | |
| version = version + ".dev" + date_str | |
| new_init_py = [l for l in init_py if not l.startswith("__version__")] | |
| new_init_py.append('__version__ = "{}"\n'.format(version)) | |
| with open(init_py_path, "w") as f: | |
| f.write("".join(new_init_py)) | |
| return version | |
| def get_extensions(): | |
| this_dir = path.dirname(path.abspath(__file__)) | |
| extensions_dir = path.join(this_dir, "detectron2", "layers", "csrc") | |
| main_source = path.join(extensions_dir, "vision.cpp") | |
| sources = glob.glob(path.join(extensions_dir, "**", "*.cpp")) | |
| source_cuda = glob.glob(path.join(extensions_dir, "**", "*.cu")) + glob.glob( | |
| path.join(extensions_dir, "*.cu") | |
| ) | |
| sources = [main_source] + sources | |
| extension = CppExtension | |
| extra_compile_args = {"cxx": []} | |
| define_macros = [] | |
| if ( | |
| torch.cuda.is_available() and CUDA_HOME is not None and os.path.isdir(CUDA_HOME) | |
| ) or os.getenv("FORCE_CUDA", "0") == "1": | |
| extension = CUDAExtension | |
| sources += source_cuda | |
| define_macros += [("WITH_CUDA", None)] | |
| extra_compile_args["nvcc"] = [ | |
| "-DCUDA_HAS_FP16=1", | |
| "-D__CUDA_NO_HALF_OPERATORS__", | |
| "-D__CUDA_NO_HALF_CONVERSIONS__", | |
| "-D__CUDA_NO_HALF2_OPERATORS__", | |
| ] | |
| # It's better if pytorch can do this by default .. | |
| CC = os.environ.get("CC", None) | |
| if CC is not None: | |
| extra_compile_args["nvcc"].append("-ccbin={}".format(CC)) | |
| include_dirs = [extensions_dir] | |
| ext_modules = [ | |
| extension( | |
| "detectron2._C", | |
| sources, | |
| include_dirs=include_dirs, | |
| define_macros=define_macros, | |
| extra_compile_args=extra_compile_args, | |
| ) | |
| ] | |
| return ext_modules | |
| def get_model_zoo_configs() -> List[str]: | |
| """ | |
| Return a list of configs to include in package for model zoo. Copy over these configs inside | |
| detectron2/model_zoo. | |
| """ | |
| # Use absolute paths while symlinking. | |
| source_configs_dir = path.join(path.dirname(path.realpath(__file__)), "configs") | |
| destination = path.join( | |
| path.dirname(path.realpath(__file__)), "detectron2", "model_zoo", "configs" | |
| ) | |
| # Symlink the config directory inside package to have a cleaner pip install. | |
| # Remove stale symlink/directory from a previous build. | |
| if path.exists(source_configs_dir): | |
| if path.islink(destination): | |
| os.unlink(destination) | |
| elif path.isdir(destination): | |
| shutil.rmtree(destination) | |
| if not path.exists(destination): | |
| try: | |
| os.symlink(source_configs_dir, destination) | |
| except OSError: | |
| # Fall back to copying if symlink fails: ex. on Windows. | |
| shutil.copytree(source_configs_dir, destination) | |
| config_paths = glob.glob("configs/**/*.yaml", recursive=True) | |
| return config_paths | |
| setup( | |
| name="detectron2", | |
| version=get_version(), | |
| author="FAIR", | |
| url="https://github.com/facebookresearch/detectron2", | |
| description="Detectron2 is FAIR's next-generation research " | |
| "platform for object detection and segmentation.", | |
| packages=find_packages(exclude=("configs", "tests*")), | |
| package_data={"detectron2.model_zoo": get_model_zoo_configs()}, | |
| python_requires=">=3.6", | |
| install_requires=[ | |
| "termcolor>=1.1", | |
| "Pillow", # you can also use pillow-simd for better performance | |
| "yacs>=0.1.6", | |
| "tabulate", | |
| "cloudpickle", | |
| "matplotlib", | |
| "mock", | |
| "tqdm>4.29.0", | |
| "tensorboard", | |
| "fvcore>=0.1.1", | |
| "future", # used by caffe2 | |
| "pydot", # used to save caffe2 SVGs | |
| ], | |
| extras_require={ | |
| "all": ["shapely", "psutil"], | |
| "dev": [ | |
| "flake8==3.7.9", | |
| "isort", | |
| "black @ git+https://github.com/psf/black@673327449f86fce558adde153bb6cbe54bfebad2", | |
| "flake8-bugbear", | |
| "flake8-comprehensions", | |
| ], | |
| }, | |
| ext_modules=get_extensions(), | |
| cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension}, | |
| ) | |