Spaces:
Sleeping
Sleeping
File size: 7,147 Bytes
82e8494 2a11855 82e8494 e573f5d 82e8494 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 |
# coding=utf-8
# Copyright 2022 The IDEA Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ------------------------------------------------------------------------------------------------
# Modified from
# https://github.com/fundamentalvision/Deformable-DETR/blob/main/models/ops/setup.py
# https://github.com/facebookresearch/detectron2/blob/main/setup.py
# https://github.com/open-mmlab/mmdetection/blob/master/setup.py
# https://github.com/Oneflow-Inc/libai/blob/main/setup.py
# ------------------------------------------------------------------------------------------------
import glob
import os
import subprocess
import torch
from setuptools import find_packages, setup
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
# groundingdino version info
version = "0.1.0"
package_name = "groundingdino"
cwd = os.path.dirname(os.path.abspath(__file__))
sha = "Unknown"
try:
sha = subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=cwd).decode("ascii").strip()
except Exception:
pass
def write_version_file():
version_path = os.path.join(cwd, "groundingdino", "version.py")
with open(version_path, "w") as f:
f.write(f"__version__ = '{version}'\n")
# f.write(f"git_version = {repr(sha)}\n")
requirements = ["torch", "torchvision"]
torch_ver = [int(x) for x in torch.__version__.split(".")[:2]]
def get_extensions():
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, "groundingdino", "models", "GroundingDINO", "csrc")
main_source = os.path.join(extensions_dir, "vision.cpp")
sources = glob.glob(os.path.join(extensions_dir, "**", "*.cpp"))
source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu")) + glob.glob(
os.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:
print("Compiling with CUDA")
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__",
]
else:
print("Compiling without CUDA")
define_macros += [("WITH_HIP", None)]
extra_compile_args["nvcc"] = []
return None
sources = [os.path.join(extensions_dir, s) for s in sources]
include_dirs = [extensions_dir]
ext_modules = [
extension(
"groundingdino._C",
sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
]
return ext_modules
def parse_requirements(fname="requirements.txt", with_version=True):
"""Parse the package dependencies listed in a requirements file but strips
specific versioning information.
Args:
fname (str): path to requirements file
with_version (bool, default=False): if True include version specs
Returns:
List[str]: list of requirements items
CommandLine:
python -c "import setup; print(setup.parse_requirements())"
"""
import re
import sys
from os.path import exists
require_fpath = fname
def parse_line(line):
"""Parse information from a line in a requirements text file."""
if line.startswith("-r "):
# Allow specifying requirements in other files
target = line.split(" ")[1]
for info in parse_require_file(target):
yield info
else:
info = {"line": line}
if line.startswith("-e "):
info["package"] = line.split("#egg=")[1]
elif "@git+" in line:
info["package"] = line
else:
# Remove versioning from the package
pat = "(" + "|".join([">=", "==", ">"]) + ")"
parts = re.split(pat, line, maxsplit=1)
parts = [p.strip() for p in parts]
info["package"] = parts[0]
if len(parts) > 1:
op, rest = parts[1:]
if ";" in rest:
# Handle platform specific dependencies
# http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies
version, platform_deps = map(str.strip, rest.split(";"))
info["platform_deps"] = platform_deps
else:
version = rest # NOQA
info["version"] = (op, version)
yield info
def parse_require_file(fpath):
with open(fpath, "r") as f:
for line in f.readlines():
line = line.strip()
if line and not line.startswith("#"):
for info in parse_line(line):
yield info
def gen_packages_items():
if exists(require_fpath):
for info in parse_require_file(require_fpath):
parts = [info["package"]]
if with_version and "version" in info:
parts.extend(info["version"])
if not sys.version.startswith("3.4"):
# apparently package_deps are broken in 3.4
platform_deps = info.get("platform_deps")
if platform_deps is not None:
parts.append(";" + platform_deps)
item = "".join(parts)
yield item
packages = list(gen_packages_items())
print("parsed packages:")
print(packages)
return packages
if __name__ == "__main__":
print("run setup.py in root file for food detection")
print(f"setup -- Building wheel {package_name}-{version}")
write_version_file()
setup(
name="groundingdino",
version="0.1.0",
author="International Digital Economy Academy, Shilong Liu",
url="https://github.com/IDEA-Research/GroundingDINO",
description="open-set object detector",
install_requires=parse_requirements("requirements.txt"),
packages=find_packages(
exclude=(
"configs",
"tests",
)
),
ext_modules=get_extensions(),
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
)
|