#pragma once

 #include <opencv2/opencv.hpp>

 #include <opencv2/highgui/highgui.hpp>

 #include <opencv2/core/core.hpp>

 #include <opencv2/imgproc/imgproc.hpp>

 #ifndef DETECT_H

 #define DETECT_H

 int DetectFaceEyes();    //检测人脸定位人眼

 #endif // !DETECT_H

#include <iostream>

#include "Detect.h"

using namespace std;

using namespace cv;

int DetectFaceEyes()

{

    Mat heying = imread("./Data/heying.jpg");

    Mat hyGray = imread("./Data/heying.jpg", );

    equalizeHist(hyGray, hyGray);        //直方图均匀化

    vector<Rect> faces, eyes;

    const char *faceCascadeFilename = "./Data/haarcascade_frontalface_alt2.xml";

    const char *eyeCascadeFilename = "./Data/haarcascade_eye_tree_eyeglasses.xml";

    CascadeClassifier faceCascade;

    CascadeClassifier eyeCascade;

    if (!faceCascade.load(faceCascadeFilename))

    {

        cout << "人脸检测级联分类器没找到！！" << endl;

        return -;

    }

    if (!eyeCascade.load(eyeCascadeFilename))

    {

        cout << "眼睛检测级联分类器没找到！！" << endl;

        return -;

    }

    faceCascade.detectMultiScale(hyGray, faces, 1.2, , , Size(, ));

    for (auto b : faces)

    {

        cout << "输出人脸位置：(x,y):" << "(" << b.x << "," << b.y << "),\

            (width,heigh):(" << b.width << "," << b.height << ")\n";

    }

    if (faces.size() > )

    {

        for (size_t i = ; i < faces.size(); i++)

        {

            // putText(heying,"xxx", cvPoint(faces[i].x, faces[i].y - 10), FONT_HERSHEY_PLAIN, 2.0, Scalar(0, 0, 255));

            rectangle(heying, Point(faces[i].x, faces[i].y), Point(faces[i].x + faces[i].width, faces[i].y + faces[i].height), Scalar(, , ), , );

            cout << faces[i] << endl;

            Mat face_ = hyGray(faces[i]);    // 选定人脸的基础上定位眼睛

            eyeCascade.detectMultiScale(face_, eyes, 1.2, , , Size(, ));

            for (size_t j = ; j < eyes.size(); j++)

            {

                // 在原图上标注眼睛，需要人脸在原图上的坐标

                Point eyeCenter(faces[i].x + eyes[j].x + eyes[j].width / , faces[i].y + eyes[j].y + eyes[j].height / );

                int radius = cvRound((eyes[j].width + eyes[j].height)*0.25);

                circle(heying, eyeCenter, radius, Scalar(, , ), , , );

            }

        }

    }

    imshow("result", heying);

    waitKey();

    return ;

}

#include <iostream>

#include <opencv2\opencv.hpp>

#include "Detect.h"

using namespace cv;

int main()

{

    int isFaceDetect;

    // 测试图片中的人脸

    isFaceDetect = DetectFaceEyes();

    return ;

}