126 lines
3.1 KiB
C++
126 lines
3.1 KiB
C++
#include "opencv2/opencv.hpp"
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#include "opencv2/videoio.hpp"
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#include "opencv2/highgui.hpp"
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const int FPS = 30;
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bool isDiscardData = true;
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int countDiscard = 0;
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const int DISCARD_DURATION = 5;
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const int BUFFER_DURATION = 30;
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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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return image;
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}
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int main()
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{
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cv::VideoCapture cap;
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cap.open(0);
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//If Haard Cascade not found: error
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cv::CascadeClassifier faceDetector;
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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::Rect foreheadROI;
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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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while (true)
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{
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if (isDiscardData)
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{
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countDiscard++;
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if (countDiscard == DISCARD_DURATION*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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// 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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{
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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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//Draw Rectangle around the face
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std::vector<cv::Rect> faceRectangles;
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faceDetector.detectMultiScale(frame, faceRectangles, 1.1, 3, 0,cv::Size(20, 20));
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if (faceRectangles.size() > 0)
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{
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foreheadROI = faceRectangles[0];
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foreheadROI.height *= 0.3;
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cv::rectangle(frame, faceRectangles[0], cv::Scalar(0, 0, 255), 1, 1, 0);
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cv::rectangle(frame, foreheadROI, cv::Scalar(255, 0, 0), 1, 1, 0);
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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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bool isBufferFull = false;
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int sampleIdBuffer = 0;
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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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}
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else
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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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int range[2] = {0, (int)(FPS*BUFFER_DURATION)};
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cv::imshow("green", plotGraph(greenSignalNormalized, range));
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}
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}
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cv::imshow("Your Face PLS", 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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}
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