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前言

提示：这里可以添加本文要记录的大概内容：

OpenCV是一款免费开源的计算机视觉算法库，在实际使用的时候，需要移植到不同的平台。在这记录下源码编译的过程。

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一、OpenCV是什么？

示例：pandas 是基于NumPy 的一种工具，该工具是为了解决数据分析任务而创建的。

二、OpenCV 源码编译

1.前期准备

1.1 源码下载

https://opencv.org/releases/OpenCV源码

https://github.com/opencv/opencv_contrib/tags opencv_contrib4.5.5地址

1.2 cmake安装

1.3 vscode 安装

1.4 git 安装

1.5 mingw安装

2.源码编译

2.1 打开cmake

设置OpenCV 的路径和编译之后存放的路径

点击configure 按钮，选择平台对应的编译器

设置编译器的路径

2.2 去掉不需要的编译模块

去掉python部分

去掉java 部分

去掉test

添加opencv_contrib 路径

2.3 解决完所有的报错，再次点击generate 按钮

2.4 命令生成install 文件

cd build
minGW32-make -j 4minGW32-make install

## 3. 问题汇总
### 3.1 Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules```c
CMake Warning (dev) at cmake/OpenCVUtils.cmake:144 (find_package):Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modulesare removed.  Run "cmake --help-policy CMP0148" for policy details.  Usethe cmake_policy command to set the policy and suppress this warning.Call Stack (most recent call first):cmake/OpenCVDetectPython.cmake:64 (find_host_package)cmake/OpenCVDetectPython.cmake:286 (find_python)CMakeLists.txt:660 (include)
This warning is for project developers.  Use -Wno-dev to suppress it.解决办法：在CMakeLists.txt 里面添加以下代码```c
if(POLICY CMP0148)cmake_policy(SET CMP0148 OLD)  # CMake 3.13+: option() honors normal variables.
endif()

3.2 Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules

Found PythonInterp: E:/python389/python.exe (found suitable version "3.8.9", minimum required is "3.2") 
CMake Warning (dev) at cmake/OpenCVDetectPython.cmake:140 (find_package):Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modulesare removed.  Run "cmake --help-policy CMP0148" for policy details.  Usethe cmake_policy command to set the policy and suppress this warning.Call Stack (most recent call first):cmake/OpenCVDetectPython.cmake:286 (find_python)CMakeLists.txt:660 (include)
This warning is for project developers.  Use -Wno-dev to suppress it.

解决办法：同上

3.3 Couldn’t download files from the Internet.

FFMPEG: Downloading opencv_videoio_ffmpeg.dll from https://raw.githubusercontent.com/opencv/opencv_3rdparty/fbac408a47977ee4265f39e7659d33f1dfef5216/ffmpeg/opencv_videoio_ffmpeg.dll
Try 1 failed=======================================================================Couldn't download files from the Internet.Please check the Internet access on this host.
=======================================================================CMake Warning at cmake/OpenCVDownload.cmake:248 (message):FFMPEG: Download failed: 6;"Couldn't resolve host name"For details please refer to the download log file:G:/OpenCV/490_0/opencv/build/CMakeDownloadLog.txtCall Stack (most recent call first):3rdparty/ffmpeg/ffmpeg.cmake:20 (ocv_download)modules/videoio/cmake/detect_ffmpeg.cmake:17 (download_win_ffmpeg)modules/videoio/cmake/init.cmake:7 (include)modules/videoio/cmake/init.cmake:11 (add_backend)cmake/OpenCVModule.cmake:298 (include)cmake/OpenCVModule.cmake:361 (_add_modules_1)cmake/OpenCVModule.cmake:408 (ocv_glob_modules)CMakeLists.txt:1032 (ocv_register_modules)

科学上网，将需要的文件下载下来；类似其他报错误，也是对应将文件下载下来即可。

3.4 CONFIGURATION IS NOT SUPPORTED: validate setupvars script in install

Processing WORLD modules... DONE
Excluding from source files list: <BUILD>/modules/world/layers/layers_common.rvv.cpp
CMake Warning at cmake/OpenCVGenSetupVars.cmake:54 (message):CONFIGURATION IS NOT SUPPORTED: validate setupvars script in installdirectory
Call Stack (most recent call first):CMakeLists.txt:1039 (include)

解决办法：OPENCV_GENERATE_SETUPVARS，去除勾选

3.5 No modules has been found: G:/OpenCV/455/opencv_contrib-4.5.5

VTK is not found. Please set -DVTK_DIR in CMake to VTK build directory, or to VTK install subdirectory with VTKConfig.cmake file
CMake Error at cmake/OpenCVModule.cmake:274 (message):No modules has been found: G:/OpenCV/455/opencv_contrib-4.5.5
Call Stack (most recent call first):cmake/OpenCVModule.cmake:356 (_glob_locations)cmake/OpenCVModule.cmake:385 (ocv_glob_modules)CMakeLists.txt:931 (ocv_register_modules)

解决办法：路径一定要选到 opencv_contrib/modules 这里。

3.6 make 编译出现

说明源码被加密，需要解密。

4. 编译测试

4.1 配置OpenCV 库

打开vscode ，打开测试文件夹。

创建 .vscode文件夹，创建c_cpp_properties.json 、launch.json、task.json文件

c_cpp_properties.json

{"configurations": [{"name": "win","includePath": ["${workspaceFolder}/**","C:/software/opencv3/opencv/build/x64/mingw/include","C:/software/opencv3/opencv/build/x64/mingw/install/include/opencv2","C:/software/opencv3/opencv/build/x64/mingw/install/include"],"defines": [],"compilerPath": "C:/software/mingw64/bin/g++.exe","cStandard": "c11","cppStandard": "c++17","intelliSenseMode": "${default}"}],"version": 4
}

launch.json

{"version": "0.2.0","configurations": [{"name": "opencv debuge","type": "cppdbg","request": "launch","program": "${workspaceFolder}//Debugger//${fileBasenameNoExtension}.exe",//上面这个Debugger是我自己定义的，为了方便放置生成的exe文件"args": [],"stopAtEntry": false, //这里如果为 false，则说明调试直接运行。（反之则停止）"cwd": "${workspaceFolder}","environment": [],"externalConsole": true,//是否调用外部cmd"MIMode": "gdb","miDebuggerPath": "C:/software/mingw64/bin/gdb.exe",//自己进行设置"setupCommands": [{"description": "为 gdb 启用整齐打印","text": "-enable-pretty-printing","ignoreFailures": false}],"preLaunchTask": "opencv3.5.2"}]
}

task.json

{"version": "2.0.0","tasks": [{"type": "shell","label": "opencv3.5.2","command": "C:/software/mingw64/bin/g++.exe","args": ["-g","${file}","-o","${workspaceFolder}//Debugger//${fileBasenameNoExtension}.exe",//上面这个Debugger是我自己定义的，为了方便放置生成的exe文件"C:/software/opencv3/opencv/build/x64/mingw/bin/libopencv_world3416.dll","-I","C:/software/opencv3/opencv/build/x64/mingw/install/include","-I","C:/software/opencv3/opencv/build/x64/mingw/install/include/opencv2",],"options": {"cwd": "C:/software/mingw64/bin"},"problemMatcher": ["$gcc"],"group": {"kind": "build","isDefault": true}}]
}

4.2 测试代码

#include <opencv2/opencv.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
using namespace cv;
uisng namespace std;
int main()
{string imgpath ="/path/to/img.jpg"Mat img=imread(imgpath);imshow("image",img);waitKey();return 0;
}

4.3 测试效果

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总结

记录下window10 下编译OpenCV+opencv_contrib 的过程，也给有需要的朋友一些经验。