如何使用 "shape_predictor_68_face_landmarks.dat" 在使用 Dlib 的 opencv C++ 中进行地标提取

Question

我正在尝试运行以下代码并检测从网络摄像头拍摄的帧的面部特征。

#include <dlib/opencv.h>
#include <opencv2/highgui/highgui.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
    {
        cv::VideoCapture cap(0);
        if (!cap.isOpened())
        {
            cerr << "Unable to connect to camera" << endl;
            return 1;
        }

        image_window win;

        // Load face detection and pose estimation models.
        frontal_face_detector detector = get_frontal_face_detector();
        shape_predictor pose_model;
        deserialize("shape_predictor_68_face_landmarks.dat") >> pose_model;

        // Grab and process frames until the main window is closed by the user.
        while(!win.is_closed())
        {
            // Grab a frame
            cv::Mat temp;
            cap >> temp;
            // Turn OpenCV's Mat into something dlib can deal with.  Note that this just
            // wraps the Mat object, it doesn't copy anything.  So cimg is only valid as
            // long as temp is valid.  Also don't do anything to temp that would cause it
            // to reallocate the memory which stores the image as that will make cimg
            // contain dangling pointers.  This basically means you shouldn't modify temp
            // while using cimg.
            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]));

            // Display it all on the screen
            win.clear_overlay();
            win.set_image(cimg);
            win.add_overlay(render_face_detections(shapes));
        }
    }
    catch(serialization_error& e)
    {
        cout << "You need dlib's default face landmarking model file to run this example." << endl;
        cout << "You can get it from the following URL: " << endl;
        cout << "   http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2" << endl;
        cout << endl << e.what() << endl;
    }
    catch(exception& e)
    {
        cout << e.what() << endl;
    }
}

但是当执行这个 .cpp 文件时，它会给出这样的控制台输出。

enter image description here

因为我已经下载了 shape_predictor_68_face_landmarks.dat。但我不知道在哪里添加这个 .dat 和 whish 目录。谁能告诉我如何使用这个 shape_predictor_68_face_landmarks.dat.

Answer 1

错误似乎来自：

deserialize("shape_predictor_68_face_landmarks.dat") >> pose_model;

上述问题的解决方法是提供完整的限定路径，如：

deserialize("/full/path/to/shape_predictor_68_face_landmarks.dat") >> pose_model;

这可能是因为 C++ 可执行文件可以运行来自某个构建位置，该文件可能不在本地范围内，因此无法找到它，最好的方法将使用完全限定路径。

如何使用 "shape_predictor_68_face_landmarks.dat" 在使用 Dlib 的 opencv C++ 中进行地标提取

how to use "shape_predictor_68_face_landmarks.dat" in landmark extraction in opencv C++ using Dlib

c++

opencv

visual-studio-2015

dlib