代码Vlog

#include <dlib/opencv.h>
#include <opencv2/opencv.hpp>
#include <dlib/image_processing/frontal_face_detector.h>
#include <dlib/image_processing/render_face_detections.h>
#include <dlib/image_processing.h>
#include <dlib/gui_widgets.h>

using namespace dlib;
using namespace std;

int main()
{
    try
    {

        
        frontal_face_detector detector = get_frontal_face_detector();
        shape_predictor pose_model;
        deserialize("D:/data/shape_predictor_68_face_landmarks.dat") >> pose_model;//文件的下载路径

        
        string path = "D:/tuling.png";
        cv::Mat temp = cv::imread(path);

        cv_image<bgr_pixel> cimg(temp);
        // Detect faces 
        std::vector<rectangle> faces = detector(cimg);
        // Find the pose of each face.
        std::vector<full_object_detection> shapes;
        for (unsigned long i = 0; i < faces.size(); ++i)
            shapes.push_back(pose_model(cimg, faces[i]));

        if (!shapes.empty()) {
            for (int i = 0; i < 68; i++) {
                circle(temp, cvPoint(shapes[0].part(i).x(), shapes[0].part(i).y()), 3, cv::Scalar(0, 0, 255), -1);
                shapes[0].part(i).x();//68个
            }
        }
        imshow("Dlib面部识别", temp);
        cv::imwrite("D:/tuling.png", temp);
        cv::waitKey(0); 

    }
    catch (exception& e)
    {
        cout << e.what() << endl;
    }
}