请使用OpenCV库再写一份较为简单的检测疲劳驾驶的C++代码

好的，以下是一个简单的使用OpenCV库来检测疲劳驾驶的C++代码：

#include <opencv2/opencv.hpp>
#include <opencv2/dnn.hpp>
#include <iostream>

using namespace cv;
using namespace dnn;

int main()
{
    // 加载人脸检测器
    String modelFile = "res10_300x300_ssd_iter_140000_fp16.caffemodel";
    String configFile = "deploy.prototxt";
    Net net = readNet(modelFile, configFile, "Caffe");

    // 打开摄像头
    VideoCapture cap(0);
    if (!cap.isOpened())
    {
        std::cout << "无法打开摄像头" << std::endl;
        return -1;
    }

    while (true)
    {
        // 读取图像帧
        Mat frame;
        cap >> frame;
        if (frame.empty())
            break;

        // 人脸检测
        Mat inputBlob = blobFromImage(frame, 1.0, Size(300, 300), Scalar(104.0, 177.0, 123.0));
        net.setInput(inputBlob, "data");
        Mat detection = net.forward("detection_out");
        Mat detectionMat(detection.size[2], detection.size[3], CV_32F, detection.ptr<float>());

        // 检测是否疲劳驾驶
        bool isFatigue = false;
        for (int i = 0; i < detectionMat.rows; i++)
        {
            float confidence = detectionMat.at<float>(i, 2);
            if (confidence > 0.5)
            {
                int x1 = static_cast<int>(detectionMat.at<float>(i, 3) * frame.cols);
                int y1 = static_cast<int>(detectionMat.at<float>(i, 4) * frame.rows);
                int x2 = static_cast<int>(detectionMat.at<float>(i, 5) * frame.cols);
                int y2 = static_cast<int>(detectionMat.at<float>(i, 6) * frame.rows);

                rectangle(frame, Point(x1, y1), Point(x2, y2), Scalar(0, 255, 0), 2);

                // 检测是否闭眼
                Mat faceROI = frame(Rect(x1, y1, x2 - x1, y2 - y1));
                CascadeClassifier eyesDetector("haarcascade_eye.xml");
                std::vector<Rect> eyes;
                eyesDetector.detectMultiScale(faceROI, eyes);
                if (eyes.size() == 0)
                {
                    isFatigue = true;
                    break;
                }
            }
        }

        // 显示图像
        imshow("frame", frame);

        // 播放警报声音
        if (isFatigue)
            std::cout << "疲劳驾驶！" << std::endl;
        else
            std::cout << "安全驾驶！" << std::endl;

        // 等待按键
        if (waitKey(30) >= 0) break;
    }

    return 0;
}

这个代码使用了OpenCV库中的人脸检测器和眼睛检测器来检测是否疲劳驾驶。当闭眼时，程序会输出“疲劳驾驶！”并播放警报声音。