Created
January 14, 2021 11:40
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OpenCV face recognition example
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#include <vector> | |
#include <opencv2/core.hpp> | |
#include <opencv2/videoio.hpp> | |
#include <opencv2/imgproc.hpp> | |
#include <opencv2/highgui.hpp> | |
#include <opencv2/objdetect.hpp> | |
#include <iostream> | |
#include <vector> | |
using namespace cv; | |
using namespace std; | |
int main(int, char**) | |
{ | |
CascadeClassifier bodyCascade = CascadeClassifier("/usr/local/share/opencv4/haarcascades/haarcascade_frontalface_default.xml"); | |
Mat frame, frameGray; | |
VideoCapture cap; | |
int deviceID = 0; | |
int apiID = cv::CAP_ANY; | |
cap.open(deviceID, apiID); | |
if (!cap.isOpened()) { | |
cerr << "ERROR! Unable to open camera\n"; | |
return -1; | |
} | |
cout << "Start grabbing" << endl | |
<< "Press any key to terminate" << endl; | |
for (;;) | |
{ | |
cap.read(frame); | |
if (frame.empty()) { | |
cerr << "ERROR! blank frame grabbed\n"; | |
break; | |
} | |
cvtColor(frame, frameGray, COLOR_BGR2GRAY); | |
vector<Rect> bodies; | |
bodyCascade.detectMultiScale(frameGray, bodies, 1.1, 3, CASCADE_FIND_BIGGEST_OBJECT, Size(30, 30), Size(200,200)); | |
for (int i = 0; i < bodies.size(); i++) { | |
Rect r = bodies[i]; | |
rectangle(frame, {r.x, r.y}, {r.x + r.width, r.y + r.height}, {0, 255, 0}, LINE_4); | |
} | |
cout << bodies.size() << endl; | |
imshow("Live", frame); | |
if (waitKey(5) >= 0) { | |
break; | |
} | |
} | |
return 0; | |
} |
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