68 lines
2.0 KiB
C++
68 lines
2.0 KiB
C++
#include <iostream>
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#include "opencv2/opencv.hpp"
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#include "opencv2/videoio.hpp"
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#include "opencv2/highgui.hpp"
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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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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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cv::VideoCapture cap;
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cap.open(0);
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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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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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// 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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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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for (size_t i = 0; i < faceRectangles.size(); i++) {
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cv::rectangle(frame, faceRectangles[i], cv::Scalar(255, 0, 0), 2);
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cv::Rect foreheadROI = faceRectangles[i];
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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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}
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cv::imshow("Color", frame);
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}
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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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