dlib19.2 只可以使用VS2015update3進行cmake,不然會提示你c++11特性不能夠支援，導致編譯不通過。

- 人臉關鍵點檢測關鍵程式碼

Mat ProcessFace::DrawDetectedFace(){

    Mat imgDrawFace = srcImage;//這個變數是指向待檢測人臉的圖片


    for (int i = 0; i < (detectedFaceData ? *detectedFaceData : 0); i++)
    {

        short * p = ((short*)(detectedFaceData + 1
 
)) + 6 * i;
        Rect opencvRect(p[0], p[1], p[2], p[3]);
        int x = p[0];
        int y = p[1];
        int w = p[2];
        int h = p[3];
        int neighbors = p[4];

        printf("face_rect=[%d, %d, %d, %d], neighbors=%d\n", x, y, w, h, neighbors);
        Point left(x, y);
        Point right(x + w, y + h);
        cv::rectangle(imgDrawFace, left, right, Scalar(230
 
, 255, 0), 4);
        dlib::rectangle dlibRect((long)opencvRect.tl().x, (long)opencvRect.tl().y, (long)opencvRect.br().x - 1, (long)opencvRect.br().y - 1);
        dlib::full_object_detection shape = sp(dlib::cv_image<uchar>(srcGrayImage), dlibRect);

        for (int i = 0; i<shape.num_parts(); i++)
        {
            shape.part(0
 
).x();
            //point pt = shape.part(i);
            int x = shape.part(i).x();
            int y = shape.part(i).y();

            char str[3];
            itoa(i, str, 10);
            line(imgDrawFace, Point(shape.part(i).x(), shape.part(i).y()), Point(shape.part(i).x(), shape.part(i).y()), Scalar(0, i*3, 255), 2);
            putText(imgDrawFace, str, Point(shape.part(i).x(), shape.part(i).y()), FONT_HERSHEY_DUPLEX, 0.5, Scalar(0, 255, 0), 2);
        }
        //std::vector<dlib::full_object_detection> shapes;
        //shapes.push_back(shape);//把點儲存在了shape中
        //dlib::array<dlib::array2d<dlib::rgb_pixel>>  face_chips;
        //extract_image_chips(dlib::cv_image<uchar>(srcGrayImage), get_face_chip_details(shapes), face_chips);
        //imgDrawFace = dlib::toMat(face_chips[0]);
        //cvtColor(imgDrawFace, imgDrawFace, CV_BGR2GRAY);

    }
    return imgDrawFace;
}

- 人臉68個關鍵點分佈情況