材料
- opencv文件
https://opencv.org - opencv-contrib
https://github.com/opencv/opencv_contrib/releases - 编译工具：cmake（一路默认安装就行）
- https://cmake.org/download/
注意事项：
- contrib文件的版本号一定要与opencv的版本号对应 。
- cmake最好下载最新版本，我之前用的3.111是不支持vs2019的，会导致下面出错。
解压，创建输入文件夹
下载下来的opencv安装包应该是一个exe文件，而contrib是一个压缩包
… 
输出文件夹：你要保存编译结果的文件夹，个人建议把三个东西都放在一个大文件夹上，如下图：
开始编译
step1 ：输入1号框的内容，然后按2号框处的configure
step2：配置opencv-contrib的地址
注意事项：想要使用SURF，SIFT算法的，一定要把OPENCV_ENABLE_NONFREE这一选项勾上！
生成解决方案
step1: 找到你cmake输出的文件夹，打开opencv.sln
step2：右键重新生成解决方案
step3: 找到CMakeTargets中的INSTALL，然后右键选择“仅限于项目”–>“仅生成INSTALL”
配置项目文件：
VC++目录–>包含目录，添加：
D:\opencv3\opencv\mybuild\install\include
VC++目录–>库目录，添加：
D:\opencv3\opencv\mybuild\install\x86\vc12\lib
D:\opencv3\opencv\mybuild\install\x86\vc12\staticlib
链接器–>输入–>附加依赖项，添加：
opencv_aruco347d.lib
opencv_bgsegm347d.lib
opencv_calib3d347d.lib
opencv_ccalib347d.lib
opencv_core347d.lib
opencv_datasets347d.lib
opencv_dnn347d.lib
opencv_dpm347d.lib
opencv_face347d.lib
opencv_features2d347d.lib
opencv_flann347d.lib
opencv_fuzzy347d.lib
opencv_hdf347d.lib
opencv_highgui347d.lib
opencv_imgcodecs347d.lib
opencv_imgproc347d.lib
opencv_line_descriptor347d.lib
opencv_ml347d.lib
opencv_objdetect347d.lib
opencv_optflow347d.lib
opencv_photo347d.lib
opencv_plot347d.lib
opencv_reg347d.lib
opencv_rgbd347d.lib
opencv_saliency347d.lib
opencv_shape347d.lib
opencv_stereo347d.lib
opencv_stitching347d.lib
opencv_structured_light347d.lib
opencv_superres347d.lib
opencv_surface_matching347d.lib
opencv_text347d.lib
opencv_tracking347d.lib
opencv_video347d.lib
opencv_videoio347d.lib
opencv_videostab347d.lib
opencv_xfeatures2d347d.lib
opencv_ximgproc347d.lib
opencv_xobjdetect347d.lib
opencv_xphoto347d.lib
参考博客
https://blog.csdn.net/ezhchai/article/details/80557936
https://www.cnblogs.com/jliangqiu2016/p/5597501.html
