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| #include <opencv2/opencv.hpp>
#include <iostream>
#include <raspicam/raspicam_cv.h>
using namespace cv;
using namespace std;
int main(int argc, char* argv[]) {
raspicam::RaspiCam_Cv cam;
cam.set(CV_CAP_PROP_FORMAT, CV_8UC3);
cam.set(CV_CAP_PROP_FRAME_WIDTH, 640);
cam.set(CV_CAP_PROP_FRAME_HEIGHT, 480);
if (!cam.open()) {
cerr << "Camera open failed!" << endl;
return -1;
}
CascadeClassifier cascade("haarcascade_frontalface_default.xml");
if (cascade.empty()) {
cerr << "Failed to open xml file!" << endl;
return -1;
}
Mat frame, gray, reduced;
int64 t1, t2;
bool do_flip = false;
while (1) {
cam.grab();
cam.retrieve(frame);
if (do_flip)
flip(frame, frame, -1);
t1 = getTickCount();
cvtColor(frame, gray, cv::COLOR_BGR2GRAY);
resize(gray, reduced, Size(0, 0), 0.5, 0.5);
vector<Rect> faces;
cascade.detectMultiScale(reduced, faces, 1.1, 3, 0, Size(40, 40));
for (size_t i = 0; i < faces.size(); i++) {
Rect rc;
rc.x = faces[i].x << 1;
cv::imwrite("raspicam_cv_image.jpg",frame);
rc.y = faces[i].y << 1;
rc.width = faces[i].width << 1;
rc.height = faces[i].height << 1;
rectangle(frame, rc, Scalar(0, 0, 255), 3);
}
t2 = getTickCount();
cout << "It took " << (t2 - t1) * 1000 / getTickFrequency() << " ms." << endl;
imshow("frame", frame);
int k = waitKey(1);
if (k == 27)
break;
else if (k == 'f' || k == 'F')
do_flip = !do_flip;
}
cam.release();
destroyAllWindows();
}
|
