lbpcascade_frontalface.xml与 haarcascade_eye_tree_eyeglasses.xml从摄像头中配合进行人眼检测的c++程序

这是一个示例C++程序，使用OpenCV库来配合使用lbpcascade_frontalface.xml和haarcascade_eye_tree_eyeglasses.xml进行人眼检测：

#include <opencv2/objdetect.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>

using namespace cv;
using namespace std;

int main()
{
    VideoCapture cap(0); // 打开摄像头
    if (!cap.isOpened())
    {
        cout << "摄像头打开失败" << endl;
        return -1;
    }

    CascadeClassifier face_cascade;
    CascadeClassifier eyes_cascade;

    // 加载lbpcascade_frontalface.xml和haarcascade_eye_tree_eyeglasses.xml
    face_cascade.load("lbpcascade_frontalface.xml");
    eyes_cascade.load("haarcascade_eye_tree_eyeglasses.xml");

    Mat frame;
    while (true)
    {
        cap >> frame; // 获取摄像头帧
        if (frame.empty())
            break;

        Mat gray;
        cvtColor(frame, gray, COLOR_BGR2GRAY); // 转为灰度图像
        equalizeHist(gray, gray); // 直方图均衡

        // 人脸检测
        vector<Rect> faces;
        face_cascade.detectMultiScale(gray, faces);

        for (size_t i = 0; i < faces.size(); i++)
        {
            Point center(faces[i].x + faces[i].width / 2, faces[i].y + faces[i].height / 2);
            ellipse(frame, center, Size(faces[i].width / 2, faces[i].height / 2), 0, 0, 360, Scalar(255, 0, 0), 2);

            Mat faceROI = gray(faces[i]);
            vector<Rect> eyes;

            // 人眼检测
            eyes_cascade.detectMultiScale(faceROI, eyes);
            for (size_t j = 0; j < eyes.size(); j++)
            {
                Point eye_center(faces[i].x + eyes[j].x + eyes[j].width / 2, faces[i].y + eyes[j].y + eyes[j].height / 2);
                int radius = cvRound((eyes[j].width + eyes[j].height) * 0.25);
                circle(frame, eye_center, radius, Scalar(0, 0, 255), 2);
            }
        }

        imshow("Frame", frame);
        if (waitKey(1) == 27) // 按ESC键退