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ppg.cpp
182
ppg.cpp
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@ -3,87 +3,157 @@
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#include "opencv2/videoio.hpp"
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#include "opencv2/highgui.hpp"
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#define BUFFER_DURATION 30.0
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#define FPS 30.0
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#define temps 1.0
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bool isDiscardData = true;
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int countDiscard = 0;
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bool isBufferFull = false;
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int sampleIdBuffer = 0;
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const double nyquistFreq = FPS / 2.0;
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template <typename T>
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cv::Mat plotGraph(std::vector<T>& vals, int YRange[2])
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{
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auto it = minmax_element(vals.begin(), vals.end());
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float scale = 1./ceil(*it.second - *it.first);
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float bias = *it.first;
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int rows = YRange[1] - YRange[0] + 1;
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cv::Mat image = 255*cv::Mat::ones( rows, vals.size(), CV_8UC3 );
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image.setTo(255);
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for (int i = 0; i < (int)vals.size()-1; i++)
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{
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cv::line(image,cv::Point(i,rows-1-(vals[i] - bias)*scale*YRange[1]),cv::Point(i+1,rows-1-(vals[i+1] - bias)*scale*YRange[1]), cv::Scalar(255, 0, 0), 1);
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}
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int main() {
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std::cout << "PPG, j'adore gitbash même si avec github desktop c'est mieux" << std::endl;
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return image;
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}
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int main(){
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int sampleIdBuffer = 0;
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int BUFFER_DURATION= 10;
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std::cout<<"PPG, j'adore gitbash même si avec github desktop c'est mieux"<< std::endl;
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cv::VideoCapture cap;
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cap.open(0);
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if (!cap.isOpened())
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{
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std::cerr << "[ERROR] Unable to open camera!" << std::endl;
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return -2;
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}
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cv::CascadeClassifier faceDetector;
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if (!faceDetector.load("./haarcascade_frontalface_alt.xml")) {
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std::cerr << "[ERROR] Unable to load face cascade" << std::endl;
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return -1;
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}
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if (!cap.isOpened()) {
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std::cerr << "[ERROR] Unable to open camera!" << std::endl;
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return -2;
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}
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while (true) {
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if (isDiscardData) {
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if( !faceDetector.load("./haarcascade_frontalface_alt.xml"))
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{
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std::cerr << "[ERROR] Unable to load face cascade" << std::endl;
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return -1;
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};
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cv::Mat greenSignal(1, FPS*BUFFER_DURATION, CV_64F);
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while (true)
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{
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if (cv::waitKey(1000.0/FPS) >= 0)
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{
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break;
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}
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if (isDiscardData)
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{
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countDiscard++;
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std::cout << "countDiscard = " << countDiscard << std::endl;
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if (countDiscard == temps*FPS) {
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isDiscardData = false;
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}
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} else {
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std::cout <<"countDiscard= " << countDiscard<< std::endl;
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if (countDiscard == 1*FPS)
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isDiscardData = false;
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}
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else
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{
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// create a matrix to store the image from the cam
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cv::Mat frame;
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cv::Mat frame, frame_gray;
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bool isBufferFull = false;
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// wait for a new frame from camera and store it into 'frame'
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cap.read(frame);
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// check if we succeeded
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if (frame.empty()) {
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if (frame.empty())
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{
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std::cerr << "[ERROR] blank frame grabbed" << std::endl;
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break;
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}
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cv::Mat frame_gray;
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cv::cvtColor(frame, frame_gray, cv::COLOR_BGR2GRAY);
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std::vector<cv::Rect> faceRectangles;
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faceDetector.detectMultiScale(frame_gray, faceRectangles, 1.1, 3, 0, cv::Size(20, 20));
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cv::rectangle(frame, faceRectangles[0], cv::Scalar(255, 0, 0), 2);
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cv::Rect foreheadROI = faceRectangles[0];
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cvtColor(frame, frame_gray, cv::COLOR_BGR2GRAY);
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faceDetector.detectMultiScale(frame_gray, faceRectangles, 1.1, 3, 0, cv::Size(20, 20));
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cv::rectangle(frame, faceRectangles[0], cv::Scalar(0, 0, 255), 1, 1, 0);
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cv::Rect foreheadROI;
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foreheadROI = faceRectangles[0];
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foreheadROI.height *= 0.3;
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cv::rectangle(frame, foreheadROI, cv::Scalar(0, 255, 0), 2);
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cv::imshow("Color", frame);
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cv::Mat frame_forehead = frame(foreheadROI);
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cv::Scalar avg_forehead = mean(frame_forehead);
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cv::Mat greenSignal(1, FPS*BUFFER_DURATION, CV_64F);
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if (!isBufferFull)
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{
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greenSignal.at<double>(0, sampleIdBuffer) = avg_forehead[1] ;
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sampleIdBuffer++;
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if (sampleIdBuffer == FPS*BUFFER_DURATION)
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{
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isBufferFull = true;
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}
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std::vector<double> greenSignalNormalized;
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cv::Scalar mean, stddev;
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cv::meanStdDev(greenSignal, mean, stddev);
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for (int l_sample=0; l_sample < FPS*BUFFER_DURATION; l_sample++)
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{
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greenSignalNormalized.push_back((greenSignal.at<double>(0, l_sample) -mean[0])/stddev[0]);
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}
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}
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}
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sampleIdBuffer++;
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std::cout << "BUFFER" << sampleIdBuffer << std::endl;
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if (sampleIdBuffer == FPS*BUFFER_DURATION)
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{
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isBufferFull = true;
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sampleIdBuffer=0;
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std::vector<double> greenSignalNormalized;
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cv::Scalar mean, stddev;
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cv::meanStdDev(greenSignal, mean, stddev);
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for (int l_sample=0; l_sample < FPS*BUFFER_DURATION; l_sample++)
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{
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greenSignalNormalized.push_back((greenSignal.at<double>(0, l_sample) - mean[0])/stddev[0]);
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}
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int range[2] = {0, (int)(FPS*BUFFER_DURATION)};
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cv::imshow("green", plotGraph(greenSignalNormalized, range));
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cv::Mat greenFFT;
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std::vector<double> greenFFTModule;
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cv::dft(greenSignalNormalized,greenFFT,cv::DFT_ROWS|cv::DFT_COMPLEX_OUTPUT);
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cv::Mat planes[] = {cv::Mat::zeros(greenSignalNormalized.size(),1, CV_64F), cv::Mat::zeros(greenSignalNormalized.size(),1, CV_64F)};
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cv::split(greenFFT, planes);
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greenFFTModule.clear();
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for (int l=0; l < planes[1].cols; l++)
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{double moduleFFT = pow(planes[1].at<double>(0,l),2) + pow(planes[0].at<double>(0,l),2);
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greenFFTModule.push_back(sqrt(moduleFFT));
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}
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cv::imshow("FFT module green", plotGraph(greenFFTModule, range));
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// Find the peaks in the green signal in the frequency range of 0 to 4 Hz
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std::vector<int> peakLocs;
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double Fs = FPS;
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double df = Fs/greenSignalNormalized.size(); // Frequency resolution
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int fStart = 0; // Index of first frequency component that corresponds to 0 Hz
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int fEnd = (int) (3/df); // Index of last frequency component that corresponds to 4 Hz
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for (int i = fStart + 1; i < fEnd - 1; i++) {
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if (greenFFTModule[i] > greenFFTModule[i-1] && greenFFTModule[i] > greenFFTModule[i+1]) {
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peakLocs.push_back(i);
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}
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}
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// Calculate heart rate based on peak locations
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double sumIntervals = 0.0;
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for (int i = 1; i < peakLocs.size(); i++) {
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sumIntervals += (peakLocs[i] - peakLocs[i-1]) / FPS;
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}
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std::cout << "sum interval: " << sumIntervals << std::endl;
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std::cout << "pealocksize: " << peakLocs.size() << std::endl;
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double meanInterval = sumIntervals / (peakLocs.size() - 1);
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std::cout << "mean interval: " << meanInterval << std::endl;
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double heartRate = (60.0 / meanInterval);
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std::cout << "Heart rate (no findPeaks): " << heartRate << " bpm" << std::endl;
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}
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}
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cv::rectangle(frame, foreheadROI, cv::Scalar(0, 255, 0), 2);
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cv::imshow("Color", frame);
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if (cv::waitKey(1000.0/FPS) >= 0) {
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break;
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}
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}
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return 0;
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return 0;
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}
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