c++ - 人脸检测（如何检测我们检测到的人脸周围的圆圈）

#include <opencv2/objdetect/objdetect.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/ocl/ocl.hpp> #include <opencv2/core/core.hpp> #include <opencv2/opencv.hpp> #include <opencv2/opencv_modules.hpp> #include <opencv2/videostab/deblurring.hpp> #include <iostream> #include <stdio.h> #include <stdlib.h> #include <Windows.h> #include <sstream> #include <string> using namespace std; using namespace cv; const static Scalar colors[] = { CV_RGB(0,0,255), CV_RGB(0,128,255), CV_RGB(0,255,255), CV_RGB(0,255,0), CV_RGB(255,128,0), CV_RGB(255,255,0), CV_RGB(255,0,0), CV_RGB(255,0,255) } ; void Draw(Mat& img, vector<Rect>& faces, double scale); int main(int argc, const char** argv) { // Setup serial port connection and needed variables. HANDLE hSerial = CreateFile(L"COM8", GENERIC_READ | GENERIC_WRITE, 0, 0, OPEN_EXISTING, FILE_ATTRIBUTE_NORMAL, 0); if (hSerial !=INVALID_HANDLE_VALUE) { printf("Port opened! \n"); DCB dcbSerialParams; GetCommState(hSerial,&dcbSerialParams); dcbSerialParams.BaudRate = CBR_9600; dcbSerialParams.ByteSize = 8; dcbSerialParams.Parity = NOPARITY; dcbSerialParams.StopBits = ONESTOPBIT; //CvMemStorage* p_strStorage; char incomingData[256] = ""; // don't forget to pre-allocate memory //printf("%s\n",incomingData); int dataLength = 256; int readResult = 0; SetCommState(hSerial, &dcbSerialParams); } else { if (GetLastError() == ERROR_FILE_NOT_FOUND) { printf("Serial port doesn't exist! \n"); } printf("Error while setting up serial port! \n"); } char outputChars[] ="c" ; DWORD btsIO; //void Draw(Mat& img, vector<Rect>& faces, double scale); Mat frame, frameCopy, image; //int i; // loop counter //char charCheckForEscKey; // char for checking key press (Esc exits program) //create the cascade classifier object used for the face detection CascadeClassifier face_cascade; //use the haarcascade_frontalface_alt.xml library face_cascade.load("haarcascade_frontalface_alt.xml"); //setup video capture device and link it to the first capture device VideoCapture captureDevice; captureDevice.open(0); if(captureDevice.open(0) == NULL) { // if capture was not successful . . . printf("error: capture error \n"); // error message to standard out . . . getchar(); // getchar() to pause for user see message . . . return(-1); } //setup image files used in the capture process Mat captureFrame; Mat grayscaleFrame; //create a window to present the results namedWindow("FaceDetection", 1); //int servoPosition = 90; //int servoOrientation = 0; //int servoPosition1=90; //int servoOrientation1=0; //create a loop to capture and find faces while(true) { //p_imgOriginal = captureFrame; //capture a new image frame captureDevice>>captureFrame; //convert captured image to gray scale and equalize cvtColor(captureFrame, grayscaleFrame, CV_BGR2GRAY); imshow("Grayscale", grayscaleFrame); equalizeHist(grayscaleFrame, grayscaleFrame); //p_strStorage = cvCreateMemStorage(0); //create a vector array to store the face found std::vector<Rect> faces; //find faces and store them in the vector array face_cascade.detectMultiScale(grayscaleFrame, faces, 1.1, 3, CV_HAAR_FIND_BIGGEST_OBJECT|CV_HAAR_SCALE_IMAGE, Size(30,30)); //draw a circle for all found faces in the vector array on the original image //for(int i = 0; i < faces.size(); i++) int i = 0; //for( int i = 0; i < faces.size(); i++ ) for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ ) { Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 ); Scalar color = colors[i%8]; center.x = cvRound((r->x + r->width*0.5)); center.y = cvRound((r->y + r->height*0.5)); Point pt1(faces[i].x + faces[i].width, faces[i].y + faces[i].height); Point pt2(faces[i].x, faces[i].y); int radius; int X = faces[i].x; int Y = faces[i].y; radius = cvRound((faces[i].width + faces[i].height)*0.25); //ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 2, 8, 0 ); //rectangle(captureFrame, pt1, pt2, cvScalar(0, 255, 0, 0), 1, 8, 0); circle(captureFrame,center,radius,cvScalar(0, 255, 0, 0), 1, 8, 0); cout << "X:" << faces[i].x << " Y:" << faces[i].y << endl; if (radius >= 85) { outputChars[0] = 'a'; WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL); cout << "radius >= 85, advertising begin" << endl; //FlushFileBuffers(hSerial); } else if (radius <= 84) { outputChars[0] = 'b'; WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL); //cout << "radius >= 85, advertising begin" << endl; } /*else if (radius >= 85 | X<=164 && X>=276) { outputChars[0] = 'z'; WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL); cout << "radius >= 85, advertising begin" << endl; //FlushFileBuffers(hSerial); } else if (radius < 85) { outputChars[0] = 'b'; WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL); cout << "radius: " << radius << "radius < 85, advertising end!" << endl; //FlushFileBuffers(hSerial); } /*if (X>=165 | X<=275) { outputChars[0]='u'; WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL); cout <<"Face in the middle of the frame" << endl; FlushFileBuffers(hSerial); } /*if (X<=164 | X>=276) { outputChars[0]='y'; WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL); cout <<"no face in the middle of the frame" << endl; //FlushFileBuffers(hSerial); }*/ } //print the output imshow("FaceDetection", captureFrame); //pause for 200ms waitKey(60); } cvDestroyWindow("FaceDetection"); cvDestroyWindow("Grayscale"); FlushFileBuffers(hSerial); // This closes the Serial Port CloseHandle(hSerial); return 0;