OpenCV视频检测人脸
用opencv自带xml。打开摄像头，实时视频检测人脸
可以直接运行在linux下或者Windows下的VS中
1 #include <iostream> 2 #include <stdio.h> 3 #include <ctime> 4 #include <opencv2/opencv.hpp> 5 #include <opencv2/highgui/highgui.hpp> 6 #include <opencv2/imgproc/imgproc.hpp> 7 #include "opencv2/core/core.hpp" 8 using namespace cv; 9 using namespace std; 10 11 #define W 1920 12 #define H 1080 13 14 string face_cascade_name = "E:/opencv_VS/opencv/sources/data/haarcascades/haarcascade_frontalface_alt2.xml"; 15 CascadeClassifier face_cascade; 16 int facesnum = 0; 17 void DectectorAndDis(Mat frame) 18 { 19 Mat face_gray = Mat::zeros(H, W, CV_8UC3); 20 vector<Rect> faces; 21 cvtColor(frame, face_gray, CV_BGR2GRAY);//RGB转化为灰度 22 equalizeHist(face_gray, face_gray);//直方图均衡化 23 double t = (double)getTickCount(); 24 face_cascade.detectMultiScale(face_gray, faces, 1.75, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); 25 t = ((double)getTickCount() - t)/getTickFrequency(); 26 27 for (int i = 0; i < faces.size(); i++){ 28 Point CvBox2D(int(faces[i].x + faces[i].width*0.5), int(faces[i].y + faces[i].height*0.5)); 29 ellipse(frame, CvBox2D, Size(int(faces[i].width*0.5), int(faces[i].height*0.5)), 0, 0, 360, Scalar(255, 0, 0), 4, 8, 0); 30 31 } 32 if( facesnum != faces.size()) 33 { 34 cout << "人脸数：" << faces.size() << endl; 35 facesnum = faces.size(); 36 printf("本次检测使用： %0.2f ms\n",t*1000); 37 } 38 39 imshow("读取视频", frame); 40 } 41 int main(int argc, char* argv[]) 42 { 43 VideoCapture capture; 44 capture.open(0); 45 Mat frame = Mat::zeros(H, W, CV_8UC3); 46 Mat frameaftcanny = Mat::zeros(H, W, CV_8UC3); 47 face_cascade.load(face_cascade_name); 48 while (1) 49 { 50 capture >> frame; 51 //cv::Canny(frame, frameaftcanny, 100, 300, 3); 52 //imshow("边缘检测", frameaftcanny); 53 DectectorAndDis(frame); 54 cv::waitKey(20); 55 } 56 57 return 0; 58 }
