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SignalLab1
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Ly PECHVATTANA 2023-02-24 12:10:54 +01:00
parent 3da94d12ff
commit c4e8ca8013
1 changed files with 78 additions and 17 deletions
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95
ppg.cpp
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@ -3,13 +3,32 @@
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
const int FPS = 30;
const int FPS = 5;
bool isDiscardData = true;
int countDiscard = 0;
const int DISCARD_DURATION = 10;
const int BUFFER_DURATION = 60;
const int BUFFER_DURATION = 10;
const int I = 1;
template <typename T>
cv::Mat plotGraph(std::vector<T>& vals, const double* YRange)
{
auto it = minmax_element(vals.begin(), vals.end());
float scale = 1./ceil(*it.second - *it.first);
float bias = *it.first;
int rows = YRange[1] - YRange[0] + 1;
cv::Mat image = 255*cv::Mat::ones( rows, vals.size(), CV_8UC3 );
image.setTo(255);
for (int i = 0; i < (int)vals.size()-1; i++)
{
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);
}
return image;
}
int main() {
cv::VideoCapture cap;
@ -41,25 +60,67 @@ int main() {
}
std::vector<cv::Rect> faceRectangles;
faceDetector.detectMultiScale(frame, faceRectangles, 1.1, 3, 0,cv::Size(20, 20));
foreheadROI = faceRectangles[0];
foreheadROI.height *= 0.3;
cv::Mat frame_forehead = frame(foreheadROI);
cv::Scalar avg_forehead = mean(frame_forehead);
bool isBufferFull = false;
int sampleIdBuffer = 0;
cv::Mat greenSignal(1, FPS*BUFFER_DURATION, CV_64F);
if (!isBufferFull)
{
greenSignal.at<double>(0, sampleIdBuffer) = avg_forehead[1] ;
sampleIdBuffer++;
if (sampleIdBuffer == FPS*BUFFER_DURATION)
if (faceRectangles.size() > 0)
{
foreheadROI = faceRectangles[0];
foreheadROI.height *= 0.3;
cv::rectangle(frame, faceRectangles[0], cv::Scalar(0, 0, 255), 1, 1, 0);
cv::rectangle(frame, foreheadROI, cv::Scalar(0, 255, 0), 1, 1, 0);
cv::Mat frame_forehead = frame(foreheadROI);
cv::Scalar avg_forehead = mean(frame_forehead);
bool isBufferFull = false;
int sampleIdBuffer = 0;
cv::Mat greenSignal(1, FPS*BUFFER_DURATION, CV_64F);
if (!isBufferFull)
{
isBufferFull = true;
greenSignal.at<double>(0, sampleIdBuffer) = avg_forehead[1] ;
sampleIdBuffer++;
if (sampleIdBuffer == FPS*BUFFER_DURATION)
{
isBufferFull = true;
}
}
else
{
std::vector<double> greenSignalNormalized;
cv::Scalar mean, stddev;
cv::meanStdDev(greenSignal, mean, stddev);
for (int l_sample=0; l_sample < FPS*BUFFER_DURATION; l_sample++)
{
greenSignalNormalized.push_back((greenSignal.at<double>(0, l_sample) -
mean[0])/stddev[0]);
}
cv::Mat greenFFT;
std::vector<double> greenFFTModule;
cv::dft(greenSignalNormalized,greenFFT,cv::DFT_ROWS|cv::DFT_COMPLEX_OUTPUT);
cv::Mat planes[] = {cv::Mat::zeros(greenSignalNormalized.size(),1, CV_64F),
cv::Mat::zeros(greenSignalNormalized.size(),1, CV_64F)};
cv::split(greenFFT, planes); // planes[0] = Re(DFT(I),
// planes[1] = Im(DFT(I))
greenFFTModule.clear();
for (int l=0; l < planes[1].cols; l++)
{
double moduleFFT = pow(planes[1].at<double>(0,l),2) +
pow(planes[0].at<double>(0,l),2);
greenFFTModule.push_back(sqrt(moduleFFT));
}
// display green FFT
const double range[2] = {0.0, 150.0};
cv::imshow("FFT module green", plotGraph(greenFFTModule, range));
}
cv::rectangle(frame, faceRectangles[0], cv::Scalar(0, 0, 255), 1, 1, 0);
cv::rectangle(frame, foreheadROI, cv::Scalar(0, 255, 0), 1, 1, 0);
}
cv::imshow("Color", frame);
// int range[2] = {0, (int)(FPS*BUFFER_DURATION)};
// cv::imshow("green", plotGraph(greenSignalNormalized, range));
if (cv::waitKey(1000.0 / FPS) >= 0)
break;
}