最近需要读取视频，MATLAB居然不支持特定格式，徘徊在把代码改成python和配置MATLAB去调用opencv之间，最后选了后者。我也出现过失败，装了第二次。过程中一定要看仔细，如果遇到错误找找相同类型的帖子有没有说明。

条件：已经安装了MATLAB2018a，VS2017

MATLAB命令行中mex -setup可执行

下载Windows版本的cmake：

https://cmake.org/download/

下载了opencv3.4.1：

https://github.com/opencv/opencv/archive/3.4.1.zip

下载了opencv_contrib3.4.1:

https://github.com/opencv/opencv_contrib/archive/3.4.1.zip

下载mexopencv3.4.1

https://github.com/kyamagu/mexopencv

OpenCV路径设置：

D:\SoftWare\OpenCV3.4.1_contib

D:\SoftWare\OpenCV3.4.1

然后开始通过生成一个VS解决方案去搭建上述环境资源。通过cmake-gui.exe，按照如下步骤：

1）设置源文件路径

2）设置目标文件路径

后来为了简洁美观，有点小调整，文件目录及路径为：

选定源文件路径和生成文件路径：

3）点击Configure，选择vs编译器，中间出了点小插曲，卸载了一下cmake，然后重装了一下，在tools里面选择编译器

• 在build组中取消以下选项：BUILD_DOCS, BUILD_EXAMPLES, BUILD_PACKAGE, BUILD_PERF_TESTS, BUILD_TESTS, BUILD_JAVABUILD_opencv_apps, BUILD_opencv_cuda*, BUILD_opencv_cudev, BUILD_opencv_js, BUILD_opencv_java*, BUILD_opencv_python*, BUILD_opencv_ts, BUILD_opencv_viz, BUILD_opencv_world
• opencv组中设置如下：
• with组中，撤销选定如下内容：WITH_CUDA, WITH_CUFFT, WITH_CUBLAS, WITH_NVCUVID, WITH_MATLAB, WITH_VTK
•  
•  
• 然后，重新点击configure，generate，关闭cmake
• ------------------------------------------------------------------------------------------------------------------------------------------------------------------
• 编译opencv：
• 1）打开VS2017，打开opencv.sln
• 2)  将vs2017的debug模式换成release
• 3）ALL_BUILD右键生成

• -----------------------------------------------------------------------------------------------------------------------------------------------------------------注意：需要一定的时间，另外，需要注意中间报错有一个const char* 无法转换为char*，当时忘记截图，所以我的选择是直接找到报错命令行，将char* 前面加上const即可正确生成。
• ------------------------------------------------------------------------------------------------------------------------------------------------------------------
• 4）INSTALL右键生成
• 5）关闭vs

添加环境变量

D:\SoftWare\dev\build\install\x64\vc15\bin

----------------------------------------------------------------------------------------------------------------------------------------------------------------------

打开MATLAB

>> cd('D:\SoftWare\dev\mexopencv')
>> addpath('D:\SoftWare\dev\mexopencv')
>> addpath('D:\SoftWare\dev\mexopencv\opencv_contrib')
>> mexopencv.make('opencv_path','D:\SoftWare\dev\build\install','opencv_contrib',true)

如果报错：

错误使用 mex
MEX 参数 '-R2017b-largeArrayDims' 未知。

打开mexopencv中的make.m文件

找到如下内容：ctrl+r

 % real/imaginary storage format for complex arrays
%     if ~mexopencv.isOctave() && ~verLessThan('matlab', '9.4')
%         % keep using the "separate complex storage", as opposed to the
%         % "interleaved complex storage" introduced in R2018a
%         % (see MX_HAS_INTERLEAVED_COMPLEX)
%         mex_flags = ['-R2017b' mex_flags];
%     end

------------------------------------------------------------------------------------------------------------------------------------------------------------------------完成之后，输入cv.getBuildInformation()

若出现类似以下信息，恭喜，安装完毕！

General configuration for OpenCV 3.4.1 =====================================
  Version control:               unknown

  Extra modules:
    Location (extra):            D:/SoftWare/dev/opencv_contrib/modules
    Version control (extra):     unknown

  Platform:
    Timestamp:                   2019-05-05T04:38:34Z
    Host:                        Windows 10.0.17134 AMD64
    CMake:                       3.13.4
    CMake generator:             Visual Studio 15 2017 Win64
    CMake build tool:            D:/SoftWare/VisualStudio2017/MSBuild/15.0/Bin/MSBuild.exe
    MSVC:                        1916

  CPU/HW features:
    Baseline:                    SSE SSE2 SSE3
      requested:                 SSE3
    Dispatched code generation:  SSE4_1 SSE4_2 FP16 AVX AVX2
      requested:                 SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
      SSE4_1 (3 files):          + SSSE3 SSE4_1
      SSE4_2 (1 files):          + SSSE3 SSE4_1 POPCNT SSE4_2
      FP16 (2 files):            + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
      AVX (5 files):             + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
      AVX2 (9 files):            + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2

  C/C++:
    Built as dynamic libs?:      YES
    C++11:                       YES
    C++ Compiler:                D:/SoftWare/VisualStudio2017/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe  (ver 19.16.27027.1)
    C++ flags (Release):         /DWIN32 /D_WINDOWS /W4 /GR  /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi      /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /MP12   /MD /O2 /Ob2 /DNDEBUG 
    C++ flags (Debug):           /DWIN32 /D_WINDOWS /W4 /GR  /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi      /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /MP12   /MDd /Zi /Ob0 /Od /RTC1 
    C Compiler:                  D:/SoftWare/VisualStudio2017/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe
    C flags (Release):           /DWIN32 /D_WINDOWS /W3  /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi        /MP12    /MD /O2 /Ob2 /DNDEBUG 
    C flags (Debug):             /DWIN32 /D_WINDOWS /W3  /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi        /MP12  /MDd /Zi /Ob0 /Od /RTC1 
    Linker flags (Release):      /machine:x64  /INCREMENTAL:NO 
    Linker flags (Debug):        /machine:x64  /debug /INCREMENTAL 
    ccache:                      NO
    Precompiled headers:         YES
    Extra dependencies:
    3rdparty dependencies:

  OpenCV modules:
    To be built:                 aruco bgsegm bioinspired calib3d ccalib core datasets dnn dnn_objdetect dpm face features2d flann fuzzy hdf hfs highgui img_hash imgcodecs imgproc java_bindings_generator line_descriptor ml objdetect optflow phase_unwrapping photo plot python3 python_bindings_generator reg rgbd saliency shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab xfeatures2d ximgproc xobjdetect xphoto
    Disabled:                    js world
    Disabled by dependency:      -
    Unavailable:                 cnn_3dobj cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev cvv dnn_modern freetype java matlab ovis python2 sfm viz
    Applications:                tests perf_tests apps
    Documentation:               NO
    Non-free algorithms:         YES

  Windows RT support:            NO

  GUI: 
    Win32 UI:                    YES

  Media I/O: 
    ZLib:                        build (ver 1.2.11)
    JPEG:                        build (ver 90)
    WEBP:                        build (ver encoder: 0x020e)
    PNG:                         build (ver 1.6.34)
    TIFF:                        build (ver 42 - 4.0.9)
    JPEG 2000:                   build (ver 1.900.1)
    OpenEXR:                     build (ver 1.7.1)

  Video I/O:
    Video for Windows:           YES
    DC1394:                      NO
    FFMPEG:                      YES (prebuilt binaries)
      avcodec:                   YES (ver 57.107.100)
      avformat:                  YES (ver 57.83.100)
      avutil:                    YES (ver 55.78.100)
      swscale:                   YES (ver 4.8.100)
      avresample:                YES (ver 3.7.0)
    GStreamer:                   NO
    DirectShow:                  YES

  Parallel framework:            Concurrency

  Trace:                         YES (with Intel ITT)

  Other third-party libraries:
    Intel IPP:                   2017.0.3 [2017.0.3]
           at:                   D:/SoftWare/dev/build/3rdparty/ippicv/ippicv_win
    Intel IPP IW:                sources (2017.0.3)
              at:                D:/SoftWare/dev/build/3rdparty/ippicv/ippiw_win
    Lapack:                      NO
    Eigen:                       NO
    Custom HAL:                  NO
    Protobuf:                    build (3.5.1)

  OpenCL:                        YES (no extra features)
    Include path:                D:/SoftWare/dev/opencv/sources/3rdparty/include/opencl/1.2
    Link libraries:              Dynamic load

  Python 3:
    Interpreter:                 D:/SoftWare/ANACONDA/python.exe (ver 3.7.3)
    Libraries:                   D:/SoftWare/ANACONDA/libs/python37.lib (ver 3.7.3)
    numpy:                       D:/SoftWare/ANACONDA/lib/site-packages/numpy/core/include (ver 1.16.2)
    packages path:               D:/SoftWare/ANACONDA/Lib/site-packages

  Python (for build):            D:/SoftWare/ANACONDA/python.exe

  Java:                          
    ant:                         NO
    JNI:                         NO
    Java wrappers:               NO
    Java tests:                  NO

  Install to:                    D:/SoftWare/dev/build/install
-----------------------------------------------------------------

建议将如下代码写成.m文件，或者写到将要调用opencv的.m文件中，因为，在实际使用时，存在无法使用cv的现象

mex -setup
cd('D:\SoftWare\dev\mexopencv')
addpath('D:\SoftWare\dev\mexopencv')
addpath('D:\SoftWare\dev\mexopencv\opencv_contrib')
mexopencv.make('opencv_path','D:\SoftWare\dev\build\install', 'opencv_contrib',true)

------------------------------------------------------------------------------------------------------------------------------------------------------------------------

使用：具体参照mexopencv中的示例文件，查看MATLAB中对应的API

% mexopencv
% Version 3.4.1 (R2018a) 01-October-2018
%
%% opencv: Main Modules
%
% core: Core Functionality
%   cv.borderInterpolate                - Computes the source location of an extrapolated pixel
%   cv.copyMakeBorder                   - Forms a border around an image
%   cv.add                              - Calculates the per-element sum of two arrays or an array and a scalar
%   cv.subtract                         - Calculates the per-element difference between two arrays or array and a scalar
%   cv.multiply                         - Calculates the per-element scaled product of two arrays
%   cv.divide                           - Performs per-element division of two arrays or a scalar by an array
%   cv.addWeighted                      - Calculates the weighted sum of two arrays
%   cv.convertScaleAbs                  - Scales, calculates absolute values, and converts the result to 8-bit
%   cv.convertFp16                      - Converts an array to half precision floating number
...........
%   cv.weightedMedianFilter             - Applies weighted median filter to an image
%   cv.GradientPaillou                  - Applies Paillou filter to an image
%   cv.GradientDeriche                  - Applies Deriche filter to an image
%   cv.PeiLinNormalization              - Calculates an affine transformation that normalize given image using Pei/Lin Normalization
%   cv.ContourFitting                   - Contour Fitting algorithm using Fourier descriptors
%   cv.RidgeDetectionFilter             - Ridge Detection Filter
%   cv.BrightEdges                      - Bright edges detector
%   cv.niBlackThreshold                 - Performs thresholding on input images using Niblack's technique or some of the popular variations it inspired
%   cv.thinning                         - Applies a binary blob thinning operation, to achieve a skeletization of the input image
%   cv.anisotropicDiffusion             - Performs anisotropic diffusion on an image
%
% xobjdetect: Extended Object Detection
%   cv.WBDetector                       - WaldBoost detector - Object Detection using Boosted Features
%
% xphoto: Additional Photo Processing Algorithms
%   cv.inpaint2                         - The function implements different single-image inpainting algorithms
%   cv.SimpleWB                         - Simple white balance algorithm
%   cv.GrayworldWB                      - Gray-world white balance algorithm
%   cv.LearningBasedWB                  - More sophisticated learning-based automatic white balance algorithm
%   cv.applyChannelGains                - Implements an efficient fixed-point approximation for applying channel gains, which is the last step of multiple white balance algorithms
%   cv.dctDenoising                     - The function implements simple dct-based denoising
%   cv.bm3dDenoising                    - Performs image denoising using the Block-Matching and 3D-filtering algorithm
%