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#include<opencv2opencv.hpp>
#include "opencv2/objdetect.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"

using namespace std;
using namespace cv;

/** Global variables */
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
CascadeClassifier nose_cascade;
CascadeClassifier mouth_cascade;

string Path1 = "D:\LenovoSoftstore\opencv\opencv\build\etc\haarcascades\haarcascade_frontalface_default.xml";//检测人脸
string Path2 = "D:\LenovoSoftstore\opencv\opencv\build\etc\haarcascades\haarcascade_eye_tree_eyeglasses.xml";//检测戴眼镜后的眼睛，不带眼镜也可以检测出来
string Path3 = "D:\LenovoSoftstore\opencv\opencv\build\etc\haarcascades\haarcascade_mcs_nose.xml";//检测鼻子
string Path4 = "D:\LenovoSoftstore\opencv\opencv\build\etc\haarcascades\haarcascade_mcs_mouth.xml";//检测嘴巴
//注意到这里的路径是绝对路径，即'\'，如果用''则会出现'.xml'文件加载失败

void detectAndDisplay(Mat frame)
{
    Mat frame_gray;
    cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
    equalizeHist(frame_gray, frame_gray);//直方图均衡化，增强对比
    //-- Detect faces
    std::vector<Rect> faces;
    face_cascade.detectMultiScale(frame_gray, faces, 1.1, 5);   //面部检测
    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);
        //绘制椭圆圆弧和椭圆扇形。
        ellipse(frame, center, Size(faces[i].width / 2, faces[i].height / 2), 0, 0, 360, Scalar(255, 0, 255), 4);
        Mat faceROI = frame_gray(faces[i]);
        //-- In each face, detect eyes
        std::vector<Rect> eyes;
        eyes_cascade.detectMultiScale(faceROI, eyes, 1.1, 7, 0);
        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 eyes_radius = cvRound((eyes[j].width + eyes[j].height) * 0.25);
            circle(frame, eye_center, eyes_radius, Scalar(255, 0, 155), 4);
        }
        //-- In each face, detect nose
        std::vector<Rect> nose;
        nose_cascade.detectMultiScale(faceROI, nose, 1.1, 10, 0);
        for (size_t k = 0; k < nose.size(); k++) {
            Point nose_center( faces[i].x + nose[k].x + nose[k].width / 2, faces[i].y + nose[k].y + nose[k].height / 2);
            int nose_radius = cvRound((nose[k].width + nose[k].height) * 0.25);
            circle(frame, nose_center, nose_radius*0.7, Scalar(0, 0, 105), 4);
        }
        //-- In each face, detect mouth
        std::vector<Rect> mouth;
        mouth_cascade.detectMultiScale(faceROI, mouth, 1.1, 10, 0);//在将第四个参数minNeighbors由默认值3改为5以后嘴巴检测立即变好了
        for (size_t m = 0; m < mouth.size(); m++) {
            Point mouth_center(faces[i].x + mouth[m].x + mouth[m].width / 2, faces[i].y + mouth[m].y + mouth[m].height / 2);
            int mouth_radius = cvRound((mouth[m].width + mouth[m].height) * 0.25);
            cout << "mouth center:" << mouth_center << " mouth width&height: " << mouth[m].width << " " << mouth[m].height << " mouth x&y：" << mouth[m].x << " " << mouth[m].y << endl;
            //circle(frame, mouth_center, mouth_radius, Scalar(255, 0, 0), 4);
            ellipse(frame, mouth_center, Size(mouth[m].width *0.35, mouth[m].height *0.2), 0, 0, 360, Scalar(255, 0, 0), 4);
        }

    }
    //识别结果显示
    namedWindow("Face detection", WINDOW_FREERATIO);
    imshow("Face detection", frame);
    waitKey(0);
}

int main()
{
    if (!face_cascade.load(Path1)) //opencv自带的人脸识别
    {
        cout << "face.xml文件加载失败" << endl;
        return -1;
    };
    if (!eyes_cascade.load(Path2))
    {
        cout << "eyes.xml文件加载失败" << endl;
        return -1;
    };
    if (!nose_cascade.load(Path3))
    {
        cout << "nose.xml文件加载失败" << endl;
        return -1;
    };
    if (!mouth_cascade.load(Path4))
    {
        cout << "mouth.xml文件加载失败" << endl;
        return -1;
    };
    Mat frame = imread("2.jpg");//输入图片
    if (frame.empty())
    {
        cout << "图片不存在" << endl;
    }
    detectAndDisplay(frame);

    return 0;

}