关于windows下的 vscode 通过编译支持opencv c++ 的总结

关于windows下的 vscode 通过编译支持opencv c++ 的总结 配置vscode

首先配置好vscode，参考

安装cmake

下载Windows Source
解压后配置好环境变量 将bin添加到Path下。
验证：

利用cmake进行编译

参考这篇
第一次点积connfigure之后，上面的配置项会标红，这时候自己勾选哪些不想装，比如不要java和python的，毕竟我只要最后的c++，而且编译python的有可能把anaconda下的破坏了。

最后记录的坑在于，ffmpeg要自己下，对于cmake的configure之后哪些需要下载，去编译目录下寻找CMakeDownloadLog.txt 以及download_with_curl或者download_with_wget看就行。看哪些下载失败，自己手动下载然后放.cache下，并安装md5改好名称。
有个坑是.cmake文件，用链接访问页面直接出来了，如果粘贴复制，实际上和原始的内容有差别，这样md5就会对应不上，所以自己右键另存为.txt，之后在改名字就行。
下面贴出我之前的CMakeDownloadLog.txt

#use_cache "C:/mysoft/opencv/sources/.cache"
#match_hash_in_cmake_cache "OCV_DOWNLOAD_ADE_HASH_3rdparty_ade_v0_1_1f_zip"
#match_hash_in_cmake_cache "OCV_DOWNLOAD_FFMPEG_HASH_3rdparty_ffmpeg_opencv_videoio_ffmpeg_dll"
#match_hash_in_cmake_cache "OCV_DOWNLOAD_FFMPEG_HASH_3rdparty_ffmpeg_opencv_videoio_ffmpeg_64_dll"
#do_copy "ffmpeg_version.cmake" "8862c87496e2e8c375965e1277dee1c7" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/40b4666d1aa374205fd61373496e15d92ecd5313/ffmpeg/ffmpeg_version.cmake" "C:/mysoft/opencv/build/x64/MinGW/3rdparty/ffmpeg"
#check_md5 "C:/mysoft/opencv/build/x64/MinGW/3rdparty/ffmpeg/ffmpeg_version.cmake"
#mismatch_md5 "C:/mysoft/opencv/build/x64/MinGW/3rdparty/ffmpeg/ffmpeg_version.cmake" "1c12632904ef677c1cc2f0887f3d154c"
#check_md5 "C:/mysoft/opencv/sources/.cache/ffmpeg/8862c87496e2e8c375965e1277dee1c7-ffmpeg_version.cmake"
#mismatch_md5 "C:/mysoft/opencv/sources/.cache/ffmpeg/8862c87496e2e8c375965e1277dee1c7-ffmpeg_version.cmake" "d41d8cd98f00b204e9800998ecf8427e"
#delete "C:/mysoft/opencv/sources/.cache/ffmpeg/8862c87496e2e8c375965e1277dee1c7-ffmpeg_version.cmake"
#cmake_download "C:/mysoft/opencv/sources/.cache/ffmpeg/8862c87496e2e8c375965e1277dee1c7-ffmpeg_version.cmake" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/40b4666d1aa374205fd61373496e15d92ecd5313/ffmpeg/ffmpeg_version.cmake"
#try 1
# timeout on name lookup is not supported
# getaddrinfo(3) failed for raw.githubusercontent.com:443
# Could not resolve host: raw.githubusercontent.com
# Closing connection 0
# 

编译完成之后配置vscode

将vscode的两个task和c_cpp_properties配置好
贴一下我的：
task的

{
	"version": "2.0.0",
	"tasks": [
		{
			"type": "cppbuild",
			"label": "C/C++: g++.exe 生成活动文件",
			"command": "D:\mingw64\bin\g++.exe",
			"args": [
				"-g",
				"${file}",
				"-o",
				"${fileDirname}${filebasenameNoExtension}.exe",
				"-I","C:/mysoft/opencv/build/x64/MinGW/install/include",
				"-I","C:/mysoft/opencv/build/x64/MinGW/install/include/opencv2",
				"-L","C:/mysoft/opencv/build/x64/MinGW/install/x64/mingw/lib",
				"-l", "libopencv_calib3d454",
				"-l", "libopencv_core454",
				"-l", "libopencv_dnn454",
				"-l", "libopencv_features2d454",
				"-l", "libopencv_flann454",
				"-l", "libopencv_gapi454",
				"-l", "libopencv_highgui454",
				"-l", "libopencv_imgcodecs454",
				"-l", "libopencv_imgproc454",
				"-l", "libopencv_ml454",
				"-l", "libopencv_objdetect454",
				"-l", "libopencv_photo454",
				"-l", "libopencv_stitching454",
				"-l", "libopencv_video454",
				"-l", "libopencv_videoio454"

			],
			"options": {
				"cwd": "${fileDirname}"
			},
			"problemMatcher": [
				"$gcc"
			],
			"group": {
				"kind": "build",
				"isDefault": true
			},
			"detail": "编译器: D:\mingw64\bin\g++.exe"
		}
	]
}

c_cpp_properties的：

{
    "configurations": [
        {
            "name": "Win32",
            "includePath": [
                "${workspaceFolder}/**",
                "C:/mysoft/opencv/build/x64/MinGW/install/include",
                "C:/mysoft/opencv/build/x64/MinGW/install/include/opencv2"
            ],
            "defines": [
                "_DEBUG",
                "UNICODE",
                "_UNICODE"
            ],
            "windowsSdkVersion": "10.0.19041.0",
            "compilerPath": "D:/mingw64/bin/g++.exe",
            "cStandard": "c17",
            "cppStandard": "c++17",
            "intelliSenseMode": "gcc-x64"
        }
    ],
    "version": 4
}

其实就是配置好头文件、静态库，动态库。

最后的大坑，来自anaconda的灵魂暴击

最后你编译完，按照提示将vscode的两个task和c_cpp_properties配置好
开开心心的把代码一写，f5一按，点开.exe，发现报错：

无法定位程序输入点 .......... xxxxx.dll

啊哈？？最后查询资料解决如下：
参考：https://blog.csdn.net/agassy/article/details/50492413
里面提到了几种可能：
1.在生成exe时所使用的lib文件的版本，和在运行exe时所调用的dll的版本不一致。
其实大概就是编译的时候，实际链接的动态库或者静态库和你想象的不一样。
2.可执行文件在运行时寻找和调用dll文件的路径搜索顺序
可能有其他同名动态库提前被搜寻而被链接。

我在排除2之后，觉得应该是1的问题，可是苦于鬼知道我编译的时候最后链接的哪儿？
最后查询资料，发现了这么一款（下载64位的就好，解压打开）可以分析形成的.exe的工具，间接的看到了exe实际链接的库，最后发现了问题所在：
具体报错的exe以及没了，我简单描述以下，就是发现实际链接好多跑anaconda下的相关库去了，顿时发觉了问题，妈蛋的，编译的时候又被anaconda截胡了。被截胡的库是mingw-w64，没想到吧，anaconda下面也有mingw，本身编译的时候应该用自己下载的那个的。
所以解决办法我采取的是把自己下载的mingw的路径放在anaconda的mingw之前：

然后重新编译opencv。