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setup.py
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setup.py
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#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Modified by BaseDetection group. All Rights Reserved
import glob
import os
import subprocess
from os import path
from setuptools import find_packages, setup
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, 3], "Requires PyTorch >= 1.3"
def get_cuda_version():
cuda_version = ""
try:
nvcc = get_command_path("nvcc")
nvcc = subprocess.check_output(
"'{}' -V | grep 'Cuda compilation tools'".format(nvcc),
shell=True
)
nvcc = nvcc.decode("utf-8").strip()
version = "".join(nvcc.split()[-1].split(".")[:2])
version = version[1:]
except subprocess.SubprocessError:
nvcc = "Not Available"
version = 'none'
finally:
cuda_version = version
return cuda_version
def get_command_path(command_name):
"""
Get path of given command.
NOTE: This function only works on linux platform.
"""
with open(os.devnull, "w") as devnull:
command_path = subprocess.check_output(
["which", command_name], stderr=devnull
).decode().rstrip('\r\n')
return command_path
def get_version():
init_py_path = path.join(path.abspath(path.dirname(__file__)), "cvpods", "__init__.py")
init_py = open(init_py_path, "r").readlines()
version_line = [line.strip() for line in init_py if line.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("PODS_VERSION_SUFFIX", "")
version = version + suffix
cuda_version = get_cuda_version()
version += "+cu{}torch{}".format(cuda_version, "".join([str(x) for x in torch_ver]))
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 = [line for line in init_py if not line.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, "cvpods", "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(
"cvpods._C",
sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
]
return ext_modules
def build_cvpods_script():
cur_dir = os.getcwd()
head = ("#!/bin/bash\n")
with open("tools/pods_train", "w") as pods_train:
pods_train.write(head + f"python3 {os.path.join(cur_dir, 'tools', 'train_net.py')} $@")
with open("tools/pods_test", "w") as pods_test:
pods_test.write(head + f"python3 {os.path.join(cur_dir, 'tools', 'test_net.py')} $@")
with open("tools/pods_debug", "w") as pods_debug:
pods_debug.write(head + f"python3 {os.path.join(cur_dir, 'tools', 'debug_net.py')} $@")
if __name__ == "__main__":
build_cvpods_script()
setup(
name="cvpods",
version=get_version(),
author="BaseDetection",
description="cvpods is BaseDetection's research "
"platform for object detection and segmentation based on cvpods.",
packages=find_packages(exclude=("configs", "tests")),
python_requires=">=3.6",
install_requires=[
"cython",
"torch",
"torchvision",
# Do not add opencv here. Just like pytorch, user should install
# opencv themselves, preferrably by OS's package manager, or by
# choosing the proper pypi package name at https://github.com/skvark/opencv-python
"termcolor>=1.1",
"colorama",
"Pillow>=7.1", # or use pillow-simd for better performance
"opencv-python",
"tabulate",
"cloudpickle",
"matplotlib",
"loguru",
"timm",
"megfile",
"tqdm>4.29.0",
"tensorboard",
"pycocotools>=2.0.2", # corresponds to https://github.com/ppwwyyxx/cocoapi
"future", # used by caffe2
"pydot", # used to save caffe2 SVGs
"portalocker",
"easydict",
"appdirs",
"seaborn",
"pandas",
"lvis",
"sklearn",
],
extras_require={
"all": [
"shapely",
"psutil",
"hydra-core",
"panopticapi @ https://github.com/cocodataset/panopticapi/archive/master.zip",
"cityscapesscripts",
],
},
ext_modules=get_extensions(),
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
scripts=[
"tools/pods_train",
"tools/pods_test",
"tools/pods_debug",
],
)