c++ 有人能解释一下openCV中的detectMultiScale吗

jei2mxaa  于 2024-01-09  发布在  其他
关注(0)|答案(1)|浏览(152)

我一直在尝试openCV中的对象检测。
跟着几个步骤。
1.将其调整为64x64分辨率
1.把它改成灰度
1.获取XML以进行对象检测
1.绘制矩形镶边图案
但是，我没能做到。
下面是我的代码：

  1. #include<iostream>
  2. #include "cv.h"
  3. #include "highgui.h"
  4. #include<vector>
  6. using namespace cv;
  7. using namespace std;
  9. int main()
  10. {
  11.     IplImage* img;
  12.     img = cvLoadImage( "hindi3.jpg" );
  14.     vector<cv::Rect> objects;
  16.     // ***Resize image to 64x64 resolution***
  18.     IplImage *resizeImage = cvCreateImage(cvSize(64,64),8,3);
  20.     cvResize(img,resizeImage,CV_INTER_LINEAR);
  22.     cvShowImage("Resize",resizeImage);
  23.     cvWaitKey(0);
  25.     // ***Convert image to grayscale***
  27.     IplImage *grayImage = cvCreateImage(cvGetSize(resizeImage),8,1);
  29.     cvCvtColor(resizeImage,grayImage,CV_BGR2GRAY);
  31.     cvShowImage("gray",grayImage);
  32.     cvWaitKey(0);
  34.     // ***Getting the XML (Cascade xml generated thru haarTraining)***
  36.     CvMemStorage* storage = cvCreateMemStorage(0);
  37.     cout<<"Memory created\n";
  39.     cv::CascadeClassifier cascade;
  40.     cascade.load("cascade.xml");
  41.     //CvHaarClassifierCascade* cascade = (CvHaarClassifierCascade*)cvLoad( "cascade.xml" );
  42.     cout<<"cascade.xml loaded successfully\n";
  43.     double scale = 1.3;
  45.     static CvScalar colors[] = { {{0,0,255}}, {{0,128,255}}, {{0,255,255}},
  46.     {{0,255,0}}, {{255,128,0}}, {{255,255,0}}, {{255,0,0}}, {{255,0,255}} };
  48.     // ***Detect objects***
  50.     cvClearMemStorage( storage );
  51.     objects.clear();
  52.     //CvSeq* objects = cvHaarDetectObjects( grayImage, cascade, storage, 1.1, 4, 0, cvSize( 40, 50 ));
  53.     //cascade.detectMultiScale(grayImage, objects, 1.2, 4, CV_HAAR_DO_CANNY_PRUNING, cvSize(30, 30));
  54.     cascade.detectMultiScale(grayImage, objects, 1.2, 4, CV_HAAR_SCALE_IMAGE, cvSize(30, 30));
  56.     // ***Draw a rectangle outside recognized pattern***
  58.     cout<<"Object size : "<<objects.size();
  59.     for( vector<cv::Rect>::const_iterator r = objects.begin(); r != objects.end(); r++)
  60.     {            //rectangle(img, *r, Scalar(0,0,255), 2, 8, 0);
  61.                  cvRectangle( grayImage, cvPoint( r->x, r->y ), cvPoint( r->x + r->width, r->y + r->height ),Scalar(0,0,255));
  62.                  cout<<"In the loop\n";
  63.     }
  65.     cvNamedWindow( "Output" );
  66.     cvShowImage( "Output", grayImage );
  67.     cvWaitKey(0);
  69.     cvReleaseImage(&resizeImage);
  70.     cvReleaseImage(&grayImage);
  71.     cvReleaseImage( &img );
  73.     return 0;
  74. }

字符串
我打印出来的对象大小显示为0，因此，它没有进入for循环.
PS：我已经在代码中注解了一些没有用的行。请让我知道我是否可以合并相同的。

c++

1条答案

按热度按时间
weylhg0b

weylhg0b1#

找到答案了..！我遗漏了detectMultiScale函数的指定参数。
它的工作正常..纠正代码如下

  1. #include<iostream>
  2. #include "cv.h"
  3. #include "highgui.h"
  4. #include<vector>
  6. using namespace cv;
  7. using namespace std;
  9. int main()
  10. {
  12.     IplImage* img;
  13.     img = cvLoadImage( "test.jpg" );
  15.     vector<cv::Rect> objects;
  17.     /*** Resizing is optional***
  18.     *****************************
  20.     IplImage *resizeImage = cvCreateImage(cvSize(64,64),8,3);
  22.     cvResize(img,resizeImage,CV_INTER_LINEAR);
  23.     cvShowImage("Resize",resizeImage);
  24.     cvWaitKey(0);*/
  26.     /*** Change image into grayscale***
  27.     **********************************/
  29.     IplImage *grayImage = cvCreateImage(cvGetSize(img),8,1);
  30.     cvCvtColor(img,grayImage,CV_BGR2GRAY);
  32.     //cvEqualizeHist(grayImage,grayImage); This is optional
  34.     cvShowImage("gray",grayImage);
  35.     cvWaitKey(0);
  37.     CvMemStorage* storage = cvCreateMemStorage(0);
  38.     cout<<"Memory created\n";
  40.     /*** Load the XML generated through haartraining***
  41.     **************************************************/
  43.     cv::CascadeClassifier cascade;
  44.     cascade.load("cascade.xml");
  45.     //CvHaarClassifierCascade* cascade = (CvHaarClassifierCascade*)cvLoad( "cascade.xml" );
  46.     cout<<"cascade.xml loaded successfully\n";
  47.     double scale = 1.3;
  49.     static CvScalar colors[] = { {{0,0,255}}, {{0,128,255}}, {{0,255,255}},
  50.     {{0,255,0}}, {{255,128,0}}, {{255,255,0}}, {{255,0,0}}, {{255,0,255}} };
  52.     /*** Detect objects***
  53.     **********************/
  55.     cvClearMemStorage( storage );
  56.     objects.clear();
  57.     //CvSeq* objects = cvHaarDetectObjects( grayImage, cascade, storage, 1.1, 4, 0, cvSize( 40, 50 ));
  58.     //cascade.detectMultiScale(grayImage, objects, 1.2, 4, CV_HAAR_DO_CANNY_PRUNING, cvSize(30, 30)); if captured through WebCam
  59.     cascade.detectMultiScale(grayImage, objects, 1.1, 3, CV_HAAR_SCALE_IMAGE | CV_HAAR_DO_CANNY_PRUNING,cvSize(0,0), cvSize(100,100));
  61.     cout<<"Object size : "<<objects.size();
  63.     /***Draw Rectangle outside recognized pattern***
  64.     ***********************************************/
  66.     for( vector<cv::Rect>::const_iterator r = objects.begin(); r != objects.end(); r++)
  67.     {            //rectangle(img, *r, Scalar(0,0,255), 2, 8, 0);
  68.                  cvRectangle( grayImage, cvPoint( r->x, r->y ), cvPoint( r->x + r->width, r->y + r->height ),Scalar(0,0,255));
  69.                  cout<<"In the loop\n";
  70.     }
  72.     cvNamedWindow( "Output" );
  73.     cvShowImage( "Output", grayImage );
  74.     cvWaitKey(0);
  76.     //cvReleaseImage(&resizeImage); If resized
  77.     cvReleaseImage(&grayImage);
  78.     cvReleaseImage( &img );
  80.     return 0;
  81. }

字符串
终于成功了！
PS：这个程序只有当输入是通过图像拍摄时才有效，不像网络摄像头或视频。

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