[转] matlab调用opencv函数的配置
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1、 首先保证vs2010能正确调用opencv函数,
2、 Matlab中选择编译器,操作如下:
打开matlab2012,输入mex –setup,出现如下提示:
Welcome to mex -setup. This utility will help you set up a default compiler. For a list of supported compilers, see http://www.mathworks.com/support/compilers/R2012a/win32.html Please choose your compiler for building MEX-files: Would you like mex to locate installed compilers [y]/n? 输入y,出现如下提示: Select a compiler: [1] Lcc-win32 C 2.4.1 in C:\PROGRA~1\MATLAB\R2012a\sys\lcc [2] Microsoft Visual C++ 2010 in C:\Program Files\Microsoft Visual Studio 2010 [0] None Compiler: 输入2,出现如下提示: Please verify your choices: Compiler: Microsoft Visual C++ 2010 Location: C:\Program Files\Microsoft Visual Studio 2010 Are these correct [y]/n? 输入y 出现如下提示,表明成功: *************************************************************************** Warning: MEX-files generated using Microsoft Visual C++ 2010 require that Microsoft Visual Studio 2010 run-time libraries be available on the computer they are run on. If you plan to redistribute your MEX-files to other MATLAB users, be sure that they have the run-time libraries. *************************************************************************** Trying to update options file: C:\Documents and Settings\zhangjing\Application Data\MathWorks\MATLAB\R2012a\mexopts.bat From template: C:\PROGRA~1\MATLAB\R2012a\bin\win32\mexopts\msvc100opts.bat Done . . . ************************************************************************** Warning: The MATLAB C and Fortran API has changed to support MATLAB variables with more than 2^32-1 elements. In the near future you will be required to update your code to utilize the new API. You can find more information about this at: http://www.mathworks.com/help/techdoc/matlab_external/bsflnue-1.html Building with the -largeArrayDims option enables the new API. **************************************************************************
3、 配置一些目录
在matlab中,输入mex –v
下面会有显示:
-> Default options filename found in C:\Documents and Settings\zhangjing\Application Data\MathWorks\MATLAB\R2012a ---------------------------- -> Options file = C:\Documents and Settings\zhangjing\Application Data\MathWorks\MATLAB\R2012a\mexopts.bat MATLAB = C:\PROGRA~1\MATLAB\R2012A -> COMPILER = cl -> Compiler flags: COMPFLAGS = /c /GR /W3 /EHs /D_CRT_SECURE_NO_DEPRECATE /D_SCL_SECURE_NO_DEPRECATE /D_SECURE_SCL=0 /DMATLAB_MEX_FILE /nologo /MD OPTIMFLAGS = /O2 /Oy- /DNDEBUG DEBUGFLAGS = /Z7 arguments = Name switch = /Fo 。。。。。。。。。(此处省略一些) 选中上面Options file=后面的部分,右键->Open Selection,打开mexopts.bat 找到下面部分,增加红色的部分 set MATLAB=%MATLAB% set VSINSTALLDIR=C:\Program Files\Microsoft Visual Studio 2010 set VCINSTALLDIR=%VSINSTALLDIR%\VC rem In this case, LINKERDIR is being used to specify the location of the SDK set LINKERDIR=C:\Program Files\Microsoft SDKs\Windows\v7.0Aset PATH=%VCINSTALLDIR%\bin;%VCINSTALLDIR%\VCPackages;%VSINSTALLDIR%\Common7\IDE;%VSINSTALLDIR%\Common7\Tools;%LINKERDIR%\bin;%MATLAB_BIN%;%PATH% set INCLUDE=%VCINSTALLDIR%\INCLUDE;%VCINSTALLDIR%\ATLMFC\INCLUDE;%LINKERDIR%\include;%INCLUDE%;D:\opencv\include;D:\opencv\include\opencv;D:\opencv\include\opencv2 set LIB=%VCINSTALLDIR%\LIB;%VCINSTALLDIR%\ATLMFC\LIB;%LINKERDIR%\lib;%MATLAB%\extern\lib\win32;%LIB%;D:\opencv\build\x86\vc10\lib set MW_TARGET_ARCH=win32 rem ******************************************************************** rem Compiler parameters rem ******************************************************************** set COMPILER=cl set COMPFLAGS=/c /GR /W3 /EHs /D_CRT_SECURE_NO_DEPRECATE /D_SCL_SECURE_NO_DEPRECATE /D_SECURE_SCL=0 /DMATLAB_MEX_FILE /nologo /MD set OPTIMFLAGS=/O2 /Oy- /DNDEBUG set DEBUGFLAGS=/Z7 set NAME_OBJECT=/Fo rem ******************************************************************** rem Linker parameters rem ******************************************************************** set LIBLOC=%MATLAB%\extern\lib\win32\microsoft set LINKER=link set LINKFLAGS=/dll /export:%ENTRYPOINT% /LIBPATH:"%LIBLOC%" opencv_core231d.lib opencv_highgui231d.lib opencv_video231d.lib opencv_ml231d.lib opencv_legacy231d.lib opencv_imgproc231d.lib opencv_flann231d.lib opencv_features2d231d.lib opencv_calib3d231d.lib opencv_objdetect231d.lib opencv_contrib231d.lib libmx.lib libmex.lib libmat.lib /MACHINE:X86 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /manifest /incremental:NO /implib:"%LIB_NAME%.x" /MAP:"%OUTDIR%%MEX_NAME%%MEX_EXT%.map" set LINKOPTIMFLAGS= (注意上面include lib处要加分号,LINKFLAGS处各个lib之前要回空格)
在matlab当前目录下建立cpp文件(简单方法,txt改后缀为cpp),vs打开敲入代码,代码需要是Matlab的C语言接口风格,函数内部调用OpenCV函数演示功能,简化后的代码:程序命名为useOpenCV.cpp保存。
#include"mex.h" #include "cv.h" #include "highgui.h" using namespacecv; voidmexFunction (int nlhs, mxArray *plhs[], // 输出参数个数,及输出参数组 int nrhs, const mxArray *prhs[]) // 输入参数个数,及输入参数数组 { char name[256]; int buflens =mxGetNumberOfElements(prhs[0]); mxGetString(prhs[0], name, buflens+1); if(!mxIsChar(prhs[0])) { mexErrMsgTxt("First parameter must be string/n"); } mexPrintf(name); IplImage * img = cvLoadImage(name, 1); if(img->imageData == NULL) { mexErrMsgTxt("Error in image/n"); } cvNamedWindow("1",1); //imshow("1",mat); cvShowImage("1",img); cvWaitKey(0); return; }
5 在matlab里输入 mex useOpenCV.cpp编译。
6 在matlab里输入命令调用编译好的文件:useOpenCV(‘lena.bmp’);即可调用。
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