托管C++——在C#中使用C++

下面就用一个完整的实例来详细说明怎样用托管C++封装一个C++类以提供给C#使用。

现有一个Detector类需要使用，首先，要创建一个托管C++的DLL工程DAADll，然后在里面添加下面的代码：

DAADll.h

 #include <opencv2/core/core.hpp>
 #include <opencv2/highgui/highgui.hpp>
 #include <opencv2/core/core.hpp>
 #include <opencv2/contrib/contrib.hpp>
 #include <opencv2/objdetect/objdetect.hpp>
 #include "../libmi_dpm/face_detector.hpp"

 #pragma comment(lib, "../lib/lib3000fps.lib")
 #pragma comment(lib, "../lib/liblinear.lib")
 #pragma comment(lib, "../lib/libmi_dpm.lib")
 //#pragma comment(lib, "MSCOREE.lib")

 using namespace System;
 using namespace System::Collections::Generic;
 using namespace System::Text;
 using namespace System::Drawing;

 namespace DAADLL{
     public ref class daaDll
     {
     public:
         daaDll();
         ~daaDll();
         !daaDll();
         Int32 detectFasterMerge(cv::Mat& img);
         Int32 detectFasterMerge(Image^ img);
         void clean();
     private:
         mi_dpm::Detector * face_det;
     };
 }

这样就可以引用Detector类；

在DAADll.cpp中加入需要调用的功能

 #include "daaDll.h"

 #include <opencv2/core/core.hpp>
 #include <opencv2/highgui/highgui.hpp>
 #include <opencv2/core/core.hpp>
 #include <opencv2/contrib/contrib.hpp>
 #include <opencv2/objdetect/objdetect.hpp>
 #include "BitmapConverter.h"
 #include "ImageHelper.h"

 using namespace System::IO;

 using namespace DAADLL;
 using namespace DAADLL::Util;

 daaDll::daaDll()
 {
     face_det = new mi_dpm::Detector();
     face_det->detectInit();
 }

 daaDll::~daaDll()
 {
     this->!daaDll();
 }

 daaDll::!daaDll()
 {
     face_det->detectClear();
     if (face_det != NULL)
     {
         free(face_det);
         face_det = NULL;
     }
 }

 void daaDll::clean()
 {
     face_det->detectClear();
 }

 Int32 daaDll::detectFasterMerge(cv::Mat& cvImg)
 {
     std::vector<cv::Rect> rects;
     std::vector<float> scores;
     std::vector<int> picked;
     if (cvImg.channels() >= )
     {
         cv::cvtColor(cvImg, cvImg, CV_BGR2GRAY);
         cv::waitKey();
     }
     picked = face_det->detectFasterMerge(cvImg, rects, scores);
     int n = picked.size();
     for (int i = ; i < n; i++)
     {
         int idx = picked[i];
         cv::rectangle(cvImg, rects[idx], cv::Scalar(, , ), );
     }
     cv::imwrite("tmp_timg_FastMerge.jpg", cvImg);
     cv::waitKey();
     return n;
 }

 Int32 daaDll::detectFasterMerge(Image^ img)
 {
     cv::Mat cvImg = BitmapConverter::ToMat(img);
     return detectFasterMerge(cvImg);
 }

最后在C#项目（我这边是主界面winform）中引用创建的DAADll项目即可。