\sources\modules\objdetect\src\cascadedetect.cpp

void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& objects,vector<int>& rejectLevels,vector<double>& levelWeights,double scaleFactor, int minNeighbors,int flags, Size minObjectSize, Size maxObjectSize,bool outputRejectLevels )

 1 #include <opencv2\opencv.hpp>
 2 #include <iostream>
 3 #include <vector>
 4 #include <fstream>
 5 #include <math.h>
 6 using namespace std;
 7 using namespace cv;
 8 const string xmlpath = "lbpcascade_frontalface.xml";
 9 CascadeClassifier face_cc;
10
11 int tic = 0;
12
13 void detect(Mat img){
14     vector<Rect> faces;
15     vector<int> rejLevel;
16     vector<double> levelW;
17     Mat grayimg;
18     cvtColor(img, grayimg, CV_RGB2GRAY);
19     equalizeHist(grayimg, grayimg);
20     int minl = min(img.rows, img.cols);
21     face_cc.detectMultiScale(grayimg, faces, rejLevel, levelW, 1.1, 3, 0, Size(), Size(), true);
22     //face_cc.detectMultiScale(grayimg, faces, 1.1);
23     for ( int i = 0; i < faces.size(); i++ )
24     {
25         if ( rejLevel[i] < 00 )
26         {
27             continue;
28         }
29         stringstream text1, text2;
30         text1 << "rejLevel:" << rejLevel[ i ];
31         text2 << "levelW:" << levelW[ i ];
32         string ttt = text1.str();
33         rectangle(img, faces[ i ], Scalar(255, 255, 0), 2, 8, 0);
34         putText(img, ttt, cvPoint(faces[ i ].x, faces[ i ].y - 3), 1, 1, Scalar(0,255,255));
35         ttt = text2.str();
36         putText(img, ttt, cvPoint(faces[ i ].x, faces[ i ].y + 12), 1, 1, Scalar(255, 0, 255));
37     }
38     imshow("IMG", img);
39     waitKey(0);
40 }
41
42 int main(){
43     if ( !face_cc.load(xmlpath) )
44     {
45         cout << "load error!\n";
46         return -1;
47     }
48     ifstream pathin;
49     pathin.open("imgpath.txt");
50     string t;
51     while ( pathin >> t && tic < 10000)
52     {
53         Mat img = imread(t);
54         detect(img);
55     }
56     pathin.close();
57     return 0;
58 }