deepin-ocr/3rdparty/ncnn/setup.py

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import io
import os
import sys
import time
import re
import subprocess
from setuptools import setup, find_packages, Extension
from setuptools.command.build_ext import build_ext
def find_version():
with io.open("CMakeLists.txt", encoding="utf8") as f:
version_file = f.read()
version_major = re.findall(r"NCNN_VERSION_MAJOR (.+?)", version_file)
version_minor = re.findall(r"NCNN_VERSION_MINOR (.+?)", version_file)
if version_major and version_minor:
if sys.platform == "darwin":
ncnn_version = time.strftime("%Y.%m.%d", time.localtime())
else:
ncnn_version = time.strftime("%Y%m%d", time.localtime())
return version_major[0] + "." + version_minor[0] + "." + ncnn_version
raise RuntimeError("Unable to find version string.")
# Convert distutils Windows platform specifiers to CMake -A arguments
PLAT_TO_CMAKE = {
"win32": "Win32",
"win-amd64": "x64",
"win-arm32": "ARM",
"win-arm64": "ARM64",
}
# A CMakeExtension needs a sourcedir instead of a file list.
# The name must be the _single_ output extension from the CMake build.
# If you need multiple extensions, see scikit-build.
class CMakeExtension(Extension):
def __init__(self, name, sourcedir=""):
Extension.__init__(self, name, sources=[])
self.sourcedir = os.path.abspath(sourcedir)
class CMakeBuild(build_ext):
def build_extension(self, ext):
extdir = os.path.abspath(os.path.dirname(self.get_ext_fullpath(ext.name)))
extdir = os.path.join(extdir, "ncnn")
# required for auto-detection of auxiliary "native" libs
if not extdir.endswith(os.path.sep):
extdir += os.path.sep
cfg = "Debug" if self.debug else "Release"
# CMake lets you override the generator - we need to check this.
# Can be set with Conda-Build, for example.
cmake_generator = os.environ.get("CMAKE_GENERATOR", "")
# Set Python_EXECUTABLE instead if you use PYBIND11_FINDPYTHON
# EXAMPLE_VERSION_INFO shows you how to pass a value into the C++ code
# from Python.
cmake_args = [
"-DCMAKE_LIBRARY_OUTPUT_DIRECTORY={}".format(extdir),
"-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_RELEASE={}".format(extdir),
"-DPYTHON_EXECUTABLE={}".format(sys.executable),
"-DCMAKE_BUILD_TYPE={}".format(cfg), # not used on MSVC, but no harm
"-DNCNN_PYTHON=ON",
"-DNCNN_BUILD_BENCHMARK=OFF",
"-DNCNN_BUILD_EXAMPLES=OFF",
"-DNCNN_BUILD_TOOLS=OFF",
]
build_args = []
if self.compiler.compiler_type == "msvc":
# Single config generators are handled "normally"
single_config = any(x in cmake_generator for x in {"NMake", "Ninja"})
# CMake allows an arch-in-generator style for backward compatibility
contains_arch = any(x in cmake_generator for x in {"ARM", "Win64"})
# Specify the arch if using MSVC generator, but only if it doesn't
# contain a backward-compatibility arch spec already in the
# generator name.
if not single_config and not contains_arch:
cmake_args += ["-A", PLAT_TO_CMAKE[self.plat_name]]
# Multi-config generators have a different way to specify configs
if not single_config:
cmake_args += [
"-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_{}={}".format(cfg.upper(), extdir)
]
build_args += ["--config", cfg]
# Set CMAKE_BUILD_PARALLEL_LEVEL to control the parallel build level
# across all generators.
if "CMAKE_BUILD_PARALLEL_LEVEL" not in os.environ:
# self.parallel is a Python 3 only way to set parallel jobs by hand
# using -j in the build_ext call, not supported by pip or PyPA-build.
if hasattr(self, "parallel") and self.parallel:
# CMake 3.12+ only.
build_args += ["-j{}".format(self.parallel)]
else:
build_args += ["-j2"]
if not os.path.exists(self.build_temp):
os.makedirs(self.build_temp)
subprocess.check_call(
["cmake", ext.sourcedir] + cmake_args, cwd=self.build_temp
)
subprocess.check_call(
["cmake", "--build", "."] + build_args, cwd=self.build_temp
)
if sys.version_info < (3, 0):
sys.exit("Sorry, Python < 3.0 is not supported")
requirements = ["numpy", "tqdm", "requests", "portalocker", "opencv-python"]
with io.open("README.md", encoding="utf-8") as h:
long_description = h.read()
setup(
name="ncnn",
version=find_version(),
author="nihui",
author_email="nihuini@tencent.com",
maintainer="caishanli",
maintainer_email="caishanli25@gmail.com",
description="ncnn is a high-performance neural network inference framework optimized for the mobile platform",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/Tencent/ncnn",
classifiers=[
"Programming Language :: C++",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"License :: OSI Approved :: BSD License",
"Operating System :: OS Independent",
],
license="BSD-3",
python_requires=">=3.5",
packages=find_packages("python"),
package_dir={"": "python"},
install_requires=requirements,
ext_modules=[CMakeExtension("ncnn")],
cmdclass={"build_ext": CMakeBuild},
)