SignalLab1/ppg.cpp

85 lines
1.6 KiB
C++

#include "iostream"
#include "opencv2/opencv.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
int FPS = 15;
int DISCARD_DURATION = 1;
int main()
{
//-- Face detection
cv::CascadeClassifier faceDetector;
if( !faceDetector.load("./haarcascade_frontalface_alt.xml"))
{
std::cerr << "[ERROR] Unable to load face cascade" << std::endl;
return -1;
}
cv::VideoCapture cap;
cap.open(0);
if (!cap.isOpened())
{
std::cerr << "[ERROR] Unable to open camera!" << std::endl;
return -2;
}
bool isDiscardData = true;
int countDiscard = 0;
while (true)
{
// create a matrix to store the image from the cam
cv::Mat frame;
// wait for a new frame from camera and store it into 'frame'
cap.read(frame);
// check if we succeeded
if (frame.empty())
{
std::cerr << "[ERROR] blank frame grabbed" << std::endl;
break;
}
if (isDiscardData)
{
std::cout <<"Discarding" <<std::endl;
countDiscard++;
if (countDiscard == DISCARD_DURATION*FPS)
isDiscardData = false;
}
else
{
std::cout <<"Processing" <<std::endl;
cv::Mat frame_gray;
cv::cvtColor( frame, frame_gray, cv::COLOR_BGR2GRAY );
std::vector<cv::Rect> faceRectangles;
faceDetector.detectMultiScale(frame_gray, faceRectangles, 1.1, 3, 0, cv::Size(20, 20));
cv::Rect foreheadROI;
if (faceRectangles.size()>0)
foreheadROI = faceRectangles[0];
foreheadROI.height *= 0.3;
cv::rectangle(frame, foreheadROI, cv::Scalar(0, 0, 255), 1, 1, 0);
}
cv::imshow("Color", frame);
if (cv::waitKey(1000.0/FPS) >= 0)
break;
}
return 0;
}