qt matlab 混合编程

1.环境的说明

matlab 2021a

qt 5.12.10

qt creator 4.13.1

opencv 4.3.0

eigen-3.4.0/eigen-3.4.0

 2.matlab 中导出dill

以aberr_analy1的导出dill举例

1. 命令行中输入：deploytool

2. 选择LIbrarycompiler

3type 选择c++

4,选择相应的

5. 点击package  选择保存的路径即可

6.导出后：

只需要 下面这个文件里面的dll .h 和。Lib 文件

3.qt 端 的环境配置

1.opencv +eigen-3.4.0+matlab + 导出的lib 和include 的路径

 
win32:CONFIG(release, debug|release): LIBS += -LD:/my_software/opencv/opencv/newbuil_with_contrib/x64/vc15/lib/ -lopencv_world453
else:win32:CONFIG(debug, debug|release): LIBS += -LD:/my_software/opencv/opencv/newbuil_with_contrib/x64/vc15/lib/ -lopencv_world453d
 
INCLUDEPATH +=D:/my_software/opencv/opencv/newbuil_with_contrib/include
DEPENDPATH += D:/my_software/opencv/opencv/newbuil_with_contrib/include/opencv2
 
INCLUDEPATH += E:/my_software/eigen-3.4.0/eigen-3.4.0
 
win32: LIBS += -L$$PWD/include/ -lmatAdd
win32: LIBS += -L$$PWD/include/ -lfringe_process
win32: LIBS += -L$$PWD/include/ -lcalculatephase
win32: LIBS += -L$$PWD/include/ -ltest_FWLSI_FUNC4
win32: LIBS += -L$$PWD/include/ -laberr_analy1
 
win32: LIBS += -L$$PWD/include/ -laberr_analy2
 
INCLUDEPATH += $$PWD/include
DEPENDPATH += $$PWD/include
 
 
 
# .h文件搜索路径
INCLUDEPATH +=D:/my_software/matlab/extern/include
INCLUDEPATH += D:/my_software/matlab/extern/include/Win64
 
# 用到的MATLAB 的.lib库文件 及其搜索路径
INCLUDEPATH += D:/my_software/matlab/extern/lib/win64/microsoft
DEPENDPATH += D:/my_software/matlab/extern/lib/win64/microsoft
 
win32: LIBS += -LD:/my_software/matlab/extern/lib/win64/microsoft/ -llibmex
win32: LIBS += -LD:/my_software/matlab/extern/lib/win64/microsoft/ -llibmx
win32: LIBS += -LD:/my_software/matlab/extern/lib/win64/microsoft/ -llibmat
win32: LIBS += -LD:/my_software/matlab/extern/lib/win64/microsoft/ -llibeng
win32: LIBS += -LD:/my_software/matlab/extern/lib/win64/microsoft/ -lmclmcr
win32: LIBS += -LD:/my_software/matlab/extern/lib/win64/microsoft/ -lmclmcrrt

在项目目录中新建了一个include 文件，放导出的include  和lib 文件 

项目的运行文件

release /debug 下面放dill

 

 

4qt 中的相关运行代码示例

先写导入.h

 mwArray 重点在于  mwArray 的声明

void MainWindow::dill_demo1( )
{
    //    img_in.convertTo(img_in, CV_32F);
    //    cv::Mat img_ini=ganshe_matlabe.fringe_process(img_in);
    if (!matAddInitialize()) //DLL 初始化
    {
 
        return;
    }
    double   vectA[]={1,2,3}; //向量A
    double   vectB[]={5,6,7};  //向量B
 
    int   rowCnt=1;   //行数
    int   colCnt=3;   //列数
    int   elementCnt=3; //元素个数
    mwArray matrixA(rowCnt,colCnt,mxDOUBLE_CLASS, mxREAL);//定义数组
    matrixA.SetData(vectA,elementCnt); //将C++ 的一维数组存储到 MATLAB的二维数组
 
    mwArray matrixB(rowCnt,colCnt,mxDOUBLE_CLASS, mxREAL);//定义数组
    matrixB.SetData(vectB,elementCnt); //
 
    //计算
    mwArray matrixC(rowCnt,colCnt,mxDOUBLE_CLASS, mxREAL);//定义数组，double类型
    int nargout=1;//输出变量个数
    matAdd(nargout,matrixC,matrixA,matrixB);//C=A+B
    int dim=2; //按照二维数组读出matrixC
    double   av=matrixC.Get(dim,1,1); //第1行，第1列
    double   bv=matrixC.Get(dim,1,2);// 第1行，第2列
    double   cv=matrixC.Get(dim,1,3); // 第1行，第3列
    QString  str=QString::asprintf("%.0f, %.0f, %.0f", av,bv,cv);
    qDebug()<<"str"<
 
 
 
}

1二维图像 中 mwArray 的声明方式

mwArray I_in2(2, dims2, mxDOUBLE_CLASS, mxREAL);

        cv::Mat image_test = cv::imread("E:/my_self_progect/image/expame/512X512.jpg", 
            cv::IMREAD_GRAYSCALE);
        if (!calculatephaseInitialize()) //DLL 初始化
        {
            std::cerr << "Could not initialize the fringe_process properly" << std::endl;
            return;
        }
       
        if(!image_test.empty())
        {
 
            // Convert cv::Mat to mwArray
 
            mwSize dims2[2] = {static_cast(image_test.rows), static_cast(image_test.cols)};
            mwArray I_in2(2, dims2, mxDOUBLE_CLASS, mxREAL);
            for (int i = 0; i < image_test.rows; ++i)
            {   for (int j = 0; j < image_test.cols; ++j)
                {
                    I_in2(i + 1, j + 1) = static_cast<double>(image_test.at(i, j));
                }
 
            }
         }