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

 1 #include <opencv2/core/core.hpp>
 2 #include <opencv2/highgui/highgui.hpp>
 3 #include <opencv2/core/core.hpp>
 4 #include <opencv2/contrib/contrib.hpp>
 5 #include <opencv2/objdetect/objdetect.hpp>
 6 #include "../libmi_dpm/face_detector.hpp"
 7 
 8 #pragma comment(lib, "../lib/lib3000fps.lib")
 9 #pragma comment(lib, "../lib/liblinear.lib")
10 #pragma comment(lib, "../lib/libmi_dpm.lib")
11 //#pragma comment(lib, "MSCOREE.lib")
12 
13 using namespace System;
14 using namespace System::Collections::Generic;
15 using namespace System::Text;
16 using namespace System::Drawing;
17 
18 namespace DAADLL{
19     public ref class daaDll
20     {
21     public:
22         daaDll();
23         ~daaDll();
24         !daaDll();
25         Int32 detectFasterMerge(cv::Mat& img);
26         Int32 detectFasterMerge(Image^ img);
27         void clean();
28     private:
29         mi_dpm::Detector * face_det;
30     };
31 }

这样就可以引用Detector类；

在DAADll.cpp中加入需要调用的功能

 1 #include "daaDll.h"
 2 
 3 #include <opencv2/core/core.hpp>
 4 #include <opencv2/highgui/highgui.hpp>
 5 #include <opencv2/core/core.hpp>
 6 #include <opencv2/contrib/contrib.hpp>
 7 #include <opencv2/objdetect/objdetect.hpp>
 8 #include "BitmapConverter.h"
 9 #include "ImageHelper.h"
10 
11 using namespace System::IO;
12 
13 using namespace DAADLL;
14 using namespace DAADLL::Util;
15 
16 daaDll::daaDll()
17 {
18     face_det = new mi_dpm::Detector();
19     face_det->detectInit();
20 }
21 
22 daaDll::~daaDll()
23 {
24     this->!daaDll();
25 }
26 
27 daaDll::!daaDll()
28 {
29     face_det->detectClear();
30     if (face_det != NULL)
31     {
32         free(face_det);
33         face_det = NULL;
34     }
35 }
36 
37 void daaDll::clean()
38 {
39     face_det->detectClear();
40 }
41 
42 Int32 daaDll::detectFasterMerge(cv::Mat& cvImg)
43 {
44     std::vector<cv::Rect> rects;
45     std::vector<float> scores;
46     std::vector<int> picked;
47     if (cvImg.channels() >= 3)
48     {
49         cv::cvtColor(cvImg, cvImg, CV_BGR2GRAY);
50         cv::waitKey(1000);
51     }
52     picked = face_det->detectFasterMerge(cvImg, rects, scores);
53     int n = picked.size();
54     for (int i = 0; i < n; i++)
55     {
56         int idx = picked[i];
57         cv::rectangle(cvImg, rects[idx], cv::Scalar(0, 125, 255), 2);
58     }
59     cv::imwrite("tmp_timg_FastMerge.jpg", cvImg);
60     cv::waitKey(10);
61     return n;
62 }
63 
64 Int32 daaDll::detectFasterMerge(Image^ img)
65 {
66     cv::Mat cvImg = BitmapConverter::ToMat(img);
67     return detectFasterMerge(cvImg);
68 }

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。

posted on 2017-05-25 09:48  Pkj  阅读(807)  评论(0)  编辑  收藏  举报

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