OpenCV4.5.2（+opencv_contrib）+CMake3.20.1+vs2017重新编译

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参考文献：
Windows下 Cmake + VS 编译 OpenCV (+ opencv_contribute)源码
OpenCV3.4.1+opencv_contrib编译：windows 10
win10下利用cmake和vs重新编译opencv源码
opencv编译之后找不到opencv_worldxxx.lib的原因
编译支持CUDA的Opencv4.2

OpenCV下载地址：https://opencv.org/releases/

opencv_contrib下载地址：https://github.com/opencv/opencv_contrib

1、下载解压OpenCV452：

重新编译的理由是因为我们在用C++调用OpenCV时会碰到某些库文件没有的情况。所以一般自己下载源码，根据自己的需求生成依赖库会好一些，在这里我们下载Source源码：

下载完成后右键解压：

解压缩后将文件夹放入C盘并以版本号命名：

解压缩后里面内容如下，同时创建一个rebuild文件夹：

Win+R开启cmd后进入该文件夹，同时输入cmake-gui，可调用CMake：

首先点击Browse Source按键选择OpenCV452文件夹路径：

然后点击Browse Build按键选择OpenCV452/rebuild文件夹路径：

继续点击config，下拉选择自己的VS版本后，选择x64，点击Finish：

最后编译开始，在红框处可以看见变动：

这里第一次config的完成后，search 中查找一些参数进行相应操作：

输入wo查找BUILD_opencv_world，不要勾选，因为据说安装了anaconda会导致编译引入不正确，不能生成opencv_worldxxx.lib文件，

输入mo查找OPENCV_EXTRA_MODULES_PATH：

输入NON朝招OPENCV_ENABLE_NONFREE勾选：

输入SET查找OPENCV_GENERATE_SETUPVARS不勾选：

输入test查找OPENCV_PERF_TESTS、BUILD_TESTS、BUILD_opencv_python_tests不勾选：

输入java查找BUILD_JAVA、BUILD_opencv_java_bingdings_generator不勾选：

输入python查找BUILD_opencv_python3、BUILD_opencv_python_bingdings_generator不勾选：

这些操作完成后，再次点击Configure，若上面仍有红色则再一次Configure直到没有为止：

此时contrib附加库会需要下载一些文件，一般会下载失败，我们需要找到rebuild文件下的CMakeDownloadLog.txt，其中各解释如下：

我们需要通过下载源地址将文件放在文件暂存路径里面，命名则是MD5_文件名。其中 .cmake 和 .i 文件需要右击另存为来保存。所有缓存文件在源文件下的 .cache 文件夹中：

操作完成后再次点击Configure：

此时在该区域不再爆红，则可以进行Generate操作：

出现 1 后，点击 2 ，下一步就是用VS进行源码编译

2、用vs2017编译OpenCV源代码

在Generate之后，我们进入opencv/rebuild文件下，可以看到工程文件，双击sln文件打开vs2017

打开vs2017页面如下，此时有两种模式：Debug和Release，在解决方案中找到CMakeTargets：

第一种模式Debug：选中CMakeTargets中的ALL_BUILD，右击生成或者重新生成：

完成后转换为Release模式，执行相同操作：

在Debug和Release两个版本都生成好以后，右击INSTALL——仅用于项目——仅生成INSTALL：

其下是我踩过的坑，按以上操作应该不会有坑：

vs2015编译OpenCV错误总结如下：

d:\users\humeme\desktop\opencv452\modules\dnn\misc\tensorflow\op_def.pb.h(17): fatal error C1189: #error:  This file was generated by an older version of protoc which is (编译源文件 D:\Users\humeme\Desktop\opencv452\modules\dnn\misc\tensorflow\op_def.pb.cc)解决方案：这是由于anaconda没有安装TensorFlow，安装上就可以。严重性 代码  说明  项目  文件  行   禁止显示状态
错误  C1189   #error:  This file was generated by an older version of protoc which is (编译源文件 D:\Users\humeme\Desktop\opencv440\modules\dnn\src\onnx\onnx_graph_simplifier.cpp)    opencv_world    D:\Users\humeme\Desktop\opencv440\modules\dnn\misc\onnx\opencv-onnx.pb.h    17  解决方案：这里是由于勾选了 BUILD_opencv_world 选项导致anaconda导入文件混乱，最好不勾选，需要的lib一个个导入。同时也有人说不需要生成opencv_worldxxxd.lib，因为实际工程中会造成大量的冗余

OpenCV配置VS实例验证：

新建项目Ctrl+Shift+N啊，重新命名以及选择文件保存路径：

在项目右边选择解决方案资源管理器：

点击源文件右击选择添加——新建项，新建cpp文件并命名：

新建后输入以下代码，注意修改图片的路径：

#include "opencv2/core/utility.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"#include <stdio.h>using namespace cv;
using namespace std;int edgeThresh = 1;
Mat image, gray, edge, cedge;// define a trackbar callback
static void onTrackbar(int, void*)
{blur(gray, edge, Size(3, 3));// Run the edge detector on grayscaleCanny(edge, edge, edgeThresh, edgeThresh * 3, 3);cedge = Scalar::all(0);image.copyTo(cedge, edge);imshow("Edge map", cedge);
}static void help()
{printf("\nThis sample demonstrates Canny edge detection\n""Call:\n""   /.edge [image_name -- Default is ../data/fruits.jpg]\n\n");
}const char* keys =
{"{help h||}{@image |../data/fruits.jpg|input image name}"};int main(int argc, const char** argv)
{CommandLineParser parser(argc, argv, keys);if (parser.has("help")){help();return 0;}//！！！！这里将 filename 换成你自己图片的绝对路径就可以了，只要修改这一处！！！！string filename = "D:/VSCODE/canny_detect/111.png";image = imread(filename, 1);if (image.empty()){printf("Cannot read image file: %s\n", filename.c_str());help();return -1;}cedge.create(image.size(), image.type());cvtColor(image, gray, COLOR_BGR2GRAY);// Create a windownamedWindow("Edge map", 1);// create a toolbarcreateTrackbar("Canny threshold", "Edge map", &edgeThresh, 100, onTrackbar);// Show the imageonTrackbar(0, 0);// Wait for a key stroke; the same function arranges events processingwaitKey(0);system("pause");return 0;
}

选择属性管理器双击Microsoft.Cpp.x64.user:

D:\Users\humeme\Desktop\rebuild\install\include
D:\Users\humeme\Desktop\rebuild\install\include\opencv2

链接器——输入

opencv_aruco440.lib
opencv_aruco440d.lib
opencv_bgsegm440.lib
opencv_bgsegm440d.lib
opencv_bioinspired440.lib
opencv_bioinspired440d.lib
opencv_calib3d440.lib
opencv_calib3d440d.lib
opencv_ccalib440.lib
opencv_ccalib440d.lib
opencv_core440.lib
opencv_core440d.lib
opencv_datasets440.lib
opencv_datasets440d.lib
opencv_dnn440.lib
opencv_dnn440d.lib
opencv_dnn_objdetect440.lib
opencv_dnn_objdetect440d.lib
opencv_dnn_superres440.lib
opencv_dnn_superres440d.lib
opencv_dpm440.lib
opencv_dpm440d.lib
opencv_face440.lib
opencv_face440d.lib
opencv_features2d440.lib
opencv_features2d440d.lib
opencv_flann440.lib
opencv_flann440d.lib
opencv_fuzzy440.lib
opencv_fuzzy440d.lib
opencv_gapi440.lib
opencv_gapi440d.lib
opencv_hdf440.lib
opencv_hdf440d.lib
opencv_hfs440.lib
opencv_hfs440d.lib
opencv_highgui440.lib
opencv_highgui440d.lib
opencv_imgcodecs440.lib
opencv_imgcodecs440d.lib
opencv_imgproc440.lib
opencv_imgproc440d.lib
opencv_img_hash440.lib
opencv_img_hash440d.lib
opencv_intensity_transform440.lib
opencv_intensity_transform440d.lib
opencv_line_descriptor440.lib
opencv_line_descriptor440d.lib
opencv_ml440.lib
opencv_ml440d.lib
opencv_objdetect440.lib
opencv_objdetect440d.lib
opencv_optflow440.lib
opencv_optflow440d.lib
opencv_phase_unwrapping440.lib
opencv_phase_unwrapping440d.lib
opencv_photo440.lib
opencv_photo440d.lib
opencv_plot440.lib
opencv_plot440d.lib
opencv_quality440.lib
opencv_quality440d.lib
opencv_rapid440.lib
opencv_rapid440d.lib
opencv_reg440.lib
opencv_reg440d.lib
opencv_rgbd440.lib
opencv_rgbd440d.lib
opencv_saliency440.lib
opencv_saliency440d.lib
opencv_shape440.lib
opencv_shape440d.lib
opencv_stereo440.lib
opencv_stereo440d.lib
opencv_stitching440.lib
opencv_stitching440d.lib
opencv_structured_light440.lib
opencv_structured_light440d.lib
opencv_superres440.lib
opencv_superres440d.lib
opencv_surface_matching440.lib
opencv_surface_matching440d.lib
opencv_text440.lib
opencv_text440d.lib
opencv_tracking440.lib
opencv_tracking440d.lib
opencv_video440.lib
opencv_video440d.lib
opencv_videoio440.lib
opencv_videoio440d.lib
opencv_videostab440.lib
opencv_videostab440d.lib
opencv_xfeatures2d440.lib
opencv_xfeatures2d440d.lib
opencv_ximgproc440.lib
opencv_ximgproc440d.lib
opencv_xobjdetect440.lib
opencv_xobjdetect440d.lib
opencv_xphoto440.lib
opencv_xphoto440d.lib

将以上lib复制进去后一路确定退出。

最后点击生成——生成解决方案，在点击调试开始执行结果如下：