[转] matlab调用opencv函数的配置

原文地址百度账户 aleasa123 

方式1

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:

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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:

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-> 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\v7.0A\
set 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。

[转] matlab调用opencv函数的配置
#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;

}
[转] matlab调用opencv函数的配置

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。

 

方式2

利用Opencv2.4.3中的头文件和库文件 
在matlab中利用mex命令编译C/C++文件时,可以利用Opencv2.4.3的头文件和库文件中已经定义的函数和类等模块。 
(1) 对于头文件中已经定义的函数和类等模块时,需要在Opencv2.4.3的安装目录下找到对
应的头文件(*.h或*.hpp),并将其拷贝至mex命令所要编译的文件相同的目录下,并在C/C++文件中“#include”这个头文件,并将这个头文件中所涉及到的
“F:\opencv\build\include\opencv2”目录下的所有文件也拷贝至mex命令所要编译的文件相同的目录下。“ F:\opencv”为Opencv2.4.3的安装目录。  
(2) 对于库文件中已经定义的函数和类等模块时,在C/C++文件中包含这个库文件,语句为 

 

[转] matlab调用opencv函数的配置
#pragma comment(lib, "opencv_calib3d243d.lib") 
#pragma comment(lib, "opencv_contrib243d.lib") 
#pragma comment(lib, "opencv_core243d.lib")
#pragma comment(lib, "opencv_features2d243d.lib") 
#pragma comment(lib, "opencv_flann243d.lib") 
#pragma comment(lib, "opencv_gpu243d.lib") 
#pragma comment(lib, "opencv_highgui243d.lib")
#pragma comment(lib, "opencv_imgproc243d.lib") 
#pragma comment(lib, "opencv_legacy243d.lib") 
#pragma comment(lib, "opencv_ml243d.lib")
#pragma comment(lib, "opencv_objdetect243d.lib") 
#pragma comment(lib, "opencv_ts243d.lib") 
#pragma comment(lib, "opencv_video243d.lib") 
[转] matlab调用opencv函数的配置

 

并将上述所有的库文件从opencv的安装目录下找到拷贝至mex命令所要编译的文件相同的目
录下。 
(3) 利用mex命令编译“*.cpp”文件就可获得“*.mexw64”文件。

(4) 例子 

[转] matlab调用opencv函数的配置
#include "mex.h"  #include "cv.h"
//#include "highgui.h" #include "highgui.h"
#pragma comment(lib, "opencv_calib3d243d.lib") 
#pragma comment(lib, "opencv_contrib243d.lib") 
#pragma comment(lib, "opencv_core243d.lib")
#pragma comment(lib, "opencv_features2d243d.lib") 
#pragma comment(lib, "opencv_flann243d.lib") 
#pragma comment(lib, "opencv_gpu243d.lib") 
#pragma comment(lib, "opencv_highgui243d.lib") 
#pragma comment(lib, "opencv_imgproc243d.lib")
#pragma comment(lib, "opencv_legacy243d.lib") 
#pragma comment(lib, "opencv_ml243d.lib")
#pragma comment(lib, "opencv_objdetect243d.lib") 
#pragma comment(lib, "opencv_ts243d.lib")
#pragma comment(lib, "opencv_video243d.lib")
 
IplImage *grey1 = 0, *grey0 = 0, *pyramid1 = 0, *pyramid0 = 0;  
int win_size = 5;
CvPoint2D32f* points[2] = {0,0};
 
void loadImageFromMatlab(const mxArray *mxImage, IplImage *image) 
{  
    unsigned char *values =  (unsigned char *) mxGetPr(mxImage);    

 int widthStep = image‐>widthStep;     

int N = mxGetN(mxImage); // width     
int M = mxGetM(mxImage); // height
    
for(int i=0;i<N;i++)        
for(int j=0;j<M;j++) 
            image‐>imageData[j*widthStep+i] = values[j+i*M]; 
}
   
void mexFunction(int plhs_size, mxArray *plhs[], int prhs_size, const mxArray *prhs[])
 {
    // Load images
 
    if (prhs_size ==4) 
  {
        win_size = *mxGetPr(prhs[3]);     
  }
    
  int N = mxGetN(prhs[0]);     
  int M = mxGetM(prhs[0]); 
  grey0 = cvCreateImage( cvSize(N, M), 8, 1 );    
  grey1 = cvCreateImage( cvSize(N, M), 8, 1 );     

  loadImageFromMatlab(prhs[0],grey0);     
  loadImageFromMatlab(prhs[1],grey1);  

  // Load feature points double *fp = mxGetPr(prhs[2]); int num_pts = mxGetN(prhs[2]); points[0] = (CvPoint2D32f*)cvAlloc(num_pts*sizeof(points[0][0]));   points[1] = (CvPoint2D32f*)cvAlloc(num_pts*sizeof(points[0][0]));   char *status = (char*)cvAlloc(num_pts);   float *error = (float*) cvAlloc(num_pts*sizeof(float));   for (int i = 0; i < num_pts; i++)   { points[0][i].x = fp[2*i];
points[0][i].y = fp[2*i+1];   } // neni treba, urychleni z fpt 40 ‐> fps 200 //cvFindCornerSubPix( grey0, points[0], num_pts, cvSize(win_size,win_size), cvSize(‐1,‐1), cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03)); pyramid1 = cvCreateImage( cvGetSize(grey1), 8, 1 );
pyramid0 = cvCreateImage( cvGetSize(grey1), 8, 1 ); cvCalcOpticalFlowPyrLK( grey0, grey1, pyramid0, pyramid1, points[0], points[1], num_pts, cvSize(win_size,win_size), 6, status, error, cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03), 0 ); // Output plhs[0] = mxCreateDoubleMatrix(6, num_pts, mxREAL);

double *output = mxGetPr(plhs[0]);
for (int i = 0; i < num_pts; i++)
{ output[
6*i] = (double) points[0][i].x;
output[6*i+1] = (double) points[0][i].y;
output[6*i+2] = (double) points[1][i].x;
output[6*i+3] = (double) points[1][i].y;
output[6*i+4] = (double) error[i];
output[6*i+5] = (double) status[i]; //output[5*i+5] = (double) error[i];
}
// Tidy up cvReleaseImage( &pyramid0 );
cvReleaseImage( &pyramid1 );
cvReleaseImage( &grey0 );
cvReleaseImage( &grey1 );

return;


}
[转] matlab调用opencv函数的配置

 

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    本文转自wenglabs博客园博客,原文链接:http://www.cnblogs.com/arxive/p/5154396.html,如需转载请自行联系原作者

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