Compare commits
4 Commits
| Author | SHA1 | Date |
|---|---|---|
|
|
0f0fc3f502 | |
|
|
d90d3ae2b4 | |
|
|
f76e338c9f | |
|
|
e9ae38eae7 |
103
ppg.cpp
103
ppg.cpp
|
|
@ -2,22 +2,38 @@
|
||||||
#include "opencv2/videoio.hpp"
|
#include "opencv2/videoio.hpp"
|
||||||
#include "opencv2/highgui.hpp"
|
#include "opencv2/highgui.hpp"
|
||||||
|
|
||||||
#include <iostream>
|
const int FPS = 15;
|
||||||
|
|
||||||
const int FPS = 30;
|
|
||||||
bool isDiscardData = true;
|
bool isDiscardData = true;
|
||||||
int countDiscard = 0;
|
int countDiscard = 0;
|
||||||
const int DISCARD_DURATION = 5;
|
const int DISCARD_DURATION = 5;
|
||||||
|
const int BUFFER_DURATION = 30 ;
|
||||||
|
const int I = 1;
|
||||||
|
|
||||||
|
bool isBufferFull = false;
|
||||||
|
int sampleIdBuffer = 0;
|
||||||
|
|
||||||
|
std::vector<double> greenFFTModule;
|
||||||
|
|
||||||
|
template <typename T>
|
||||||
|
cv::Mat plotGraph(std::vector<T>& vals, int YRange[2])
|
||||||
|
{
|
||||||
|
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()
|
int main()
|
||||||
{
|
{
|
||||||
cv::VideoCapture cap;
|
cv::VideoCapture cap;
|
||||||
cap.open(0);
|
cap.open(0);
|
||||||
if (!cap.isOpened())
|
|
||||||
{
|
|
||||||
std::cerr << "[ERROR] Unable to open camera!" << std::endl;
|
|
||||||
return -2;
|
|
||||||
}
|
|
||||||
//If Haard Cascade not found: error
|
//If Haard Cascade not found: error
|
||||||
cv::CascadeClassifier faceDetector;
|
cv::CascadeClassifier faceDetector;
|
||||||
if( !faceDetector.load("./haarcascade_frontalface_alt.xml"))
|
if( !faceDetector.load("./haarcascade_frontalface_alt.xml"))
|
||||||
|
|
@ -25,6 +41,12 @@ int main()
|
||||||
std::cerr << "[ERROR] Unable to load face cascade" << std::endl;
|
std::cerr << "[ERROR] Unable to load face cascade" << std::endl;
|
||||||
return -1;
|
return -1;
|
||||||
};
|
};
|
||||||
|
cv::Rect foreheadROI;
|
||||||
|
if (!cap.isOpened())
|
||||||
|
{
|
||||||
|
std::cerr << "[ERROR] Unable to open camera!" << std::endl;
|
||||||
|
return -2;
|
||||||
|
}
|
||||||
|
|
||||||
while (true)
|
while (true)
|
||||||
{
|
{
|
||||||
|
|
@ -49,18 +71,69 @@ int main()
|
||||||
|
|
||||||
//Draw Rectangle around the face
|
//Draw Rectangle around the face
|
||||||
std::vector<cv::Rect> faceRectangles;
|
std::vector<cv::Rect> faceRectangles;
|
||||||
faceDetector.detectMultiScale(frame, faceRectangles, 1.1, 3, 0,
|
faceDetector.detectMultiScale(frame, faceRectangles, 1.1, 3, 0,cv::Size(20, 20));
|
||||||
cv::Size(20, 20));
|
|
||||||
cv::rectangle(frame, faceRectangles[0], cv::Scalar(0, 0, 255), 1, 1, 0);
|
if (faceRectangles.size() > 0)
|
||||||
//Reduce to ROI
|
{
|
||||||
cv::Rect foreheadROI;
|
foreheadROI = faceRectangles[0];
|
||||||
foreheadROI = faceRectangles[0];
|
foreheadROI.height *= 0.3;
|
||||||
foreheadROI.height *= 0.5;
|
|
||||||
|
cv::rectangle(frame, faceRectangles[0], cv::Scalar(0, 0, 255), 1, 1, 0);
|
||||||
|
cv::rectangle(frame, foreheadROI, cv::Scalar(255, 0, 0), 1, 1, 0);
|
||||||
|
|
||||||
|
cv::Mat frame_forehead = frame(foreheadROI);
|
||||||
|
cv::Scalar avg_forehead = mean(frame_forehead);
|
||||||
|
|
||||||
|
//
|
||||||
|
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)
|
||||||
|
{
|
||||||
|
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]);
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
int range[2] = {0, (int)(FPS*BUFFER_DURATION)};
|
||||||
|
|
||||||
|
cv::Mat greenFFT;
|
||||||
|
///
|
||||||
|
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
|
||||||
|
cv::imshow("FFT module green", plotGraph(greenFFTModule, range));
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
cv::imshow("Your Face PLS", frame);
|
cv::imshow("Your Face PLS", frame);
|
||||||
if (cv::waitKey(1000.0/FPS) >= 0)
|
if (cv::waitKey(1000.0/FPS) >= 0)
|
||||||
break;
|
break;
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
return 0;
|
return 0;
|
||||||
}
|
}
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue