यहाँ, हम सीखेंगे कि OpenCV में आंख की पुतली की गति का पता कैसे लगाएं और उसे ट्रैक कैसे करें।
निम्नलिखित प्रोग्राम आंख की पुतली का पता लगाने और स्थान को ट्रैक करने को दर्शाता है।
उदाहरण
#include<iostream> #include<opencv2/core/core.hpp> #include<opencv2/highgui/highgui.hpp> #include<opencv2/imgproc/imgproc.hpp> #include<opencv2/objdetect/objdetect.hpp> #include<string> using namespace cv; using namespace std; Vec3f eyeBallDetection(Mat& eye, vector<Vec3f>& circles) { vector<int>sums(circles.size(), 0); for (int y = 0; y < eye.rows; y++) { uchar* data = eye.ptr<uchar>(y); for (int x = 0; x < eye.cols; x++) { int pixel_value = static_cast<int>(*data); for (int i = 0; i < circles.size(); i++) { Point center((int)round(circles[i][0]), (int)round(circles[i][1])); int radius = (int)round(circles[i][2]); if (pow(x - center.x, 2) + pow(y - center.y, 2) < pow(radius, 2)) { sums[i] = sums[i] + pixel_value; } } ++data; } } int smallestSum = 9999999; int smallestSumIndex = -1; for (int i = 0; i < circles.size(); i++) { if (sums[i] < smallestSum) { smallestSum = sums[i]; smallestSumIndex = i; } } return circles[smallestSumIndex]; } Rect detectLeftEye(vector& eyes) { int leftEye = 99999999; int index; for (int i = 0; i < eyes.size(); i++) { if (eyes[i].tl().x < leftEye) { leftEye = eyes[i].tl().x; index = i; } } return eyes[index]; } vector<Point>centers; Point track_Eyeball; Point makeStable(vector<Point>& points, int iteration) { float sum_of_X = 0; float sum_of_Y = 0; int count = 0; int j = max(0, (int)(points.size() - iteration)); int number_of_points = points.size(); for (j; j < number_of_points; j++) { sum_of_X = sum_of_X + points[j].x; sum_of_Y = sum_of_Y + points[j].y; ++count; } if (count > 0) { sum_of_X /= count; sum_of_Y /= count; } return Point(sum_of_X, sum_of_Y); } void eyeDetection(Mat& frame, CascadeClassifier& faceCascade, CascadeClassifier& eyeCascade) { Mat grayImage; cvtColor(frame, grayImage, COLOR_BGR2GRAY); equalizeHist(grayImage, grayImage); //चेहरे का पता लगाना// Mat inputImage = grayImage; vector<Rect>storedFaces; float scaleFactor = 1.1; int minimumNeighbour = 2; Size minImageSize = Size(150, 150); faceCascade.detectMultiScale( inputImage, storedFaces, scaleFactor, minimumNeighbour, 0 | CASCADE_SCALE_IMAGE, minImageSize); if (storedFaces.size() == 0)return; Mat face = grayImage(storedFaces[0]); //पता लगाए गए चेहरे के चारों ओर आयत बनाना// int x = storedFaces[0].x; int y = storedFaces[0].y; int h = y + storedFaces[0].height; int w = x + storedFaces[0].width; rectangle(frame, Point(x, y), Point(w, h), Scalar(255, 0, 255), 2, 8, 0); //आंखों का पता लगाना// Mat faceRegion = face; vector<Rect>eyes; float eyeScaleFactor = 1.1; int eyeMinimumNeighbour = 2; Size eyeMinImageSize = Size(30, 30); eyeCascade.detectMultiScale(faceRegion, eyes, eyeScaleFactor, eyeMinimumNeighbour, 0 | CASCADE_SCALE_IMAGE, eyeMinImageSize); if (eyes.size() != 2)return; //आंखों के चारों ओर आयत बनाना// for (Rect& eye : eyes) { rectangle(frame, storedFaces[0].tl() + eye.tl(), storedFaces[0].tl() + eye.br(), Scalar(0, 255, 0), 2); } //बाईं आंख प्राप्त करना// Rect eyeRect = detectLeftEye(eyes); Mat eye = face(eyeRect); equalizeHist(eye, eye); //आंख क्षेत्र में वृत्तों का पता लगाने के लिए हफ सर्कल लागू करना// Mat hough_Circle_Input = eye; vector<Vec3f>circles; int method = 3; int detect_Pixel = 1; int minimum_Distance = eye.cols / 8; int threshold = 250; int minimum_Area = 15; int minimum_Radius = eye.rows / 8; int maximum_Radius = eye.rows / 3; HoughCircles(hough_Circle_Input, circles, HOUGH_GRADIENT, detect_Pixel, minimum_Distance, threshold, minimum_Area, minimum_Radius, maximum_Radius); //आंख की पुतली को घेरने वाले वृत्त का पता लगाना और बनाना// if (circles.size() > 0) { Vec3f eyeball = eyeBallDetection(eye, circles); Point center(eyeball[0], eyeball[1]); centers.push_back(center); center = makeStable(centers, 5); track_Eyeball = center; int radius = (int)eyeball[2]; circle(frame, storedFaces[0].tl() + eyeRect.tl() + center, radius, Scalar(0, 0, 255), 2); circle(eye, center, radius, Scalar(255, 255, 255), 2); } cout << "The location of the eyeball is" << track_Eyeball << endl; imshow("Eye", eye); } int main() { //कैस्केड क्लासिफायर लोड करना// CascadeClassifier faceCascade; faceCascade.load("C:/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml"); CascadeClassifier eyeCascade; eyeCascade.load("C:/opencv/sources/data/haarcascades/haarcascade_eye.xml"); //कैमरा फीड कैप्चर करना और eyeDetection फंक्शन कॉल करना// VideoCapture cap(0); Mat frame; while (1) { cap >> frame; eyeDetection(frame, faceCascade, eyeCascade); imshow("Webcam", frame); if (waitKey(30) >= 0) break; } return 0; }आउटपुट
