pyinstaller打包openvino 2021.4.2

打包准备

1. 测试环境准备

conda create -n opinstall python=3.7 -y
conda activate opinstall

pip install openvino==2021.4.2
pip install pyinstaller

PyCharm新建openvino_install，选择虚拟环境opinstall，编写测试代码

app.py

import numpy as np
from openvino.inference_engine import IECoreif __name__ == '__main__':print("start")e = IECore()print("end")

2. 将openvino文件夹复制到代码同级目录下
D:\ProgramData\anaconda3\envs\opinstall\Lib\site-packages\openvino 拷贝至 F:\openvino_install

3. 修改配置
# 将运行库路径修改为同级目录下的openvino目录
打开openvino/inference_engine/_init_.py

》修改：openvino_libs = [os.path.join(os.path.dirname(__file__), "..", "..", "openvino", "libs")] 为：openvino_libs = [os.path.join(os.getcwd(),'openvino\\libs') ]

》增加python版本小于等于3.8环境配置，否则报错DLL load failed while importing ie_api: 找不到指定的模块。
if (3, 8) <= sys.version_info:
os.add_dll_directory(os.path.abspath(lib_path))
os.environ["PATH"] = os.path.abspath(lib_path) + ";" + os.environ["PATH"]
else:
os.environ["PATH"] = os.path.abspath(lib_path) + ";" + os.environ["PATH"]
》增加：
from .ie_api import *
from .constants import *

# -*- coding: utf-8 -*-
# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0import os
import sysif sys.platform == 'win32':# Installer, yum, pip installs openvino dlls to the different directories# and those paths need to be visible to the openvino modules## If you're using a custom installation of openvino,# add the location of openvino dlls to your system PATH.## looking for the libs in the pip installation path by default.openvino_libs = [os.path.join(os.getcwd(),'openvino\\libs') ]# setupvars.bat script set all libs paths to OPENVINO_LIB_PATHS environment variable.openvino_libs_installer = os.getenv('OPENVINO_LIB_PATHS')if openvino_libs_installer:openvino_libs.extend(openvino_libs_installer.split(';'))for lib in openvino_libs:lib_path = os.path.join(os.path.dirname(__file__), lib)if os.path.isdir(lib_path):# On Windows, with Python >= 3.8, DLLs are no longer imported from the PATH.if (3, 8) <= sys.version_info:os.add_dll_directory(os.path.abspath(lib_path))os.environ["PATH"] = os.path.abspath(lib_path) + ";" + os.environ["PATH"]else:os.environ["PATH"] = os.path.abspath(lib_path) + ";" + os.environ["PATH"] from .ie_api import *
from .constants import *__all__ = ['IENetwork', 'TensorDesc', 'IECore', 'Blob', 'PreProcessInfo', 'get_version']
__version__ = get_version()  # type: ignore

开始打包 -> dist下生成exe文件 -> 根目录下的openvino文件夹拷贝到dist

G:\openvino_install>conda activate opinstall(opinstall) G:\openvino_install>pyinstaller --onefile --hidden-import pkgutil app.py

运行方式1：执行openvino/bin/setupvars.bat脚本去初始化环境，再运行

G:\openvino_install\dist>conda activate opinstall(opinstall) G:\openvino_install\dist>cd C:\Program Files (x86)\Intel\openvino_2021.4.752\bin(opinstall) G:\openvino_install\dist>C:(opinstall) C:\Program Files (x86)\Intel\openvino_2021.4.752\bin>setupvars.bat
Python 3.7.12
[setupvars.bat] OpenVINO environment initialized(opinstall) C:\Program Files (x86)\Intel\openvino_2021.4.752\bin>cd G:\openvino_install\dist(opinstall) C:\Program Files (x86)\Intel\openvino_2021.4.752\bin>G: (opinstall) G:\openvino_install\dist>app.exe
start
end(opinstall) G:\openvino_install\dist>

运行方式2：不使用setupvars.bat脚本去初始化环境，打包openvino开发库，在代码中加载环境路径

conda activate opinstall
cd C:\Program Files (x86)\Intel\openvino_2021.4.752\deployment_tools\tools\deployment_manager
python deployment_manager.py

在该界面下输入1回车，8回车，最后在回车（我使用的py3.7）按照自己的py版本进行选择，执行完，生成openvino_deploy_package.zip包

解压压缩包下的文件夹 openvino_deploy_package\deployment_tools到dist目录下

修改代码，自动加载环境路径

import oscur_path = os.getcwd().replace('\\', '/')
hdll_path = cur_path + '/deployment_tools/inference_engine/external/hddl/bin;'
tbb_path = cur_path + '/deployment_tools/inference_engine/external/tbb/bin;'
Debug_path = cur_path + '/deployment_tools/inference_engine/bin/intel64/Debug;'
Release_path = cur_path + '/deployment_tools/inference_engine/bin/intel64/Release;'
ngraph_path = cur_path + '/deployment_tools/ngraph/lib;'
model_optimizer_path = cur_path + '/deployment_tools/model_optimizer;'
os.environ['Path'] += hdll_path + tbb_path + Debug_path + Release_path + ngraph_path + model_optimizer_pathimport numpy as np
from openvino.inference_engine import IECoreif __name__ == '__main__':print("start auto")e = IECore()print("end")