Dlib人脸关键点检测顺序

dlib19.2 只可以使用VS2015update3进行cmake,不然会提示你c++11特性不能够支持，导致编译不通过。

- 人脸关键点检测关键代码

最好参考一下这篇博客Opencv与dlib联合进行人脸关键点检测与识别

Mat ProcessFace::DrawDetectedFace(){    Mat imgDrawFace = srcImage;//这个变量是指向待检测人脸的图片    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);//把点保存在了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;}

- 人脸68个关键点分布情况