dlib 68点人脸特征点检测

#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 { // 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. // Grab a frame cv::Mat temp; //cap >> temp; temp = cv::imread("1.jpg", 1); 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 j = 0; j < shapes.size(); j++) { for (int i = 0; i < 68; i++) { circle(temp, cvPoint(shapes[j].part(i).x(), shapes[j].part(i).y()), 3, cv::Scalar(0, 0, 255), -1); putText(temp, to_string(i), cvPoint(shapes[j].part(i).x(), shapes[j].part(i).y()), CV_FONT_HERSHEY_PLAIN, 1, cv::Scalar(255, 0, 0),1,4); } } } //Display it all on the screen imshow("Dlib特征点", temp); imwrite("Dlib特征点.jpg", temp); cv::waitKey(0); } 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; } }