Dlib人脸关键点检测顺序

- 人脸关键点检测关键代码

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