C++之Dlib库实现68个特征点人脸的提取（根据Dlib官网例程改写）

#include <fstream>  
#include <string>  
#include <iostream>  

#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>
#include <dlib/image_io.h>
#include <opencv2/core/core.hpp>  
#include <dlib/timer.h>

#include "highgui.h"

using namespace dlib;
using namespace std;

// ----------------------------------------------------------------------------------------

int main()
{  
	try
	{
		// We need a face detector.  We will use this to get bounding boxes for
		// each face in an image.
		frontal_face_detector detector = get_frontal_face_detector();

		// And we also need a shape_predictor.  This is the tool that will predict face
		// landmark positions given an image and face bounding box.  Here we are just
		// loading the model from the shape_predictor_68_face_landmarks.dat file you gave
		// as a command line argument.
		shape_predictor sp;
		//deserialize(argv[1]) >> sp;
		deserialize("D:\CAFFE\caffe-windows-master\buildVS2013\faceverification\shape_predictor_68_face_landmarks.dat") >> sp;
		//deserialize("./shape_predictor_68_face_landmarks.dat") >> sp;

		image_window win, win_faces;

		ifstream in("path.txt");
		string filename;
		string picture;

		if (in)
		{
			int picNo = 1;
			// Loop over all the images provided in the txt file.
			while (getline(in, picture))
			{
				cout << "processing image " << picture << endl;
				array2d<rgb_pixel> img;
				load_image(img, picture);
				// Make the image larger so we can detect small faces.
				pyramid_up(img);

				// Now tell the face detector to give us a list of bounding boxes
				// around all the faces in the image.
				long long detec_time = cv::getTickCount();
				std::vector<rectangle> dets = detector(img);
				detec_time = cv::getTickCount() - detec_time;
				cout << "detect time : " << 1000 * detec_time / cv::getTickFrequency() << " ms" << endl;
				cout << "Number of faces detected: " << dets.size() << endl;

				// Now we will go ask the shape_predictor to tell us the pose of
				// each face we detected.
				std::vector<full_object_detection> shapes;


				//int64 t;
				long long total = cv::getTickCount();
				for (unsigned long j = 0; j < dets.size(); ++j)
				{
					//计时

					long long t = cv::getTickCount();
					full_object_detection shape = sp(img, dets[j]);
					cout << "number of parts: " << shape.num_parts() << endl;
					cout << "pixel position of first part:  " << shape.part(0) << endl;
					cout << "pixel position of second part: " << shape.part(1) << endl;
					// You get the idea, you can get all the face part locations if
					// you want them.  Here we just store them in shapes so we can
					// put them on the screen.
					shapes.push_back(shape);

					t = cv::getTickCount() - t;
					cout << "process time : " << 1000 * t / cv::getTickFrequency() << " ms" << endl;
				}
				total = cv::getTickCount() - total;
				cout << "process time : " << 1000 * total / cv::getTickFrequency() << " ms" << endl;

				// Now let's view our face poses on the screen.
				win.clear_overlay();
				win.set_image(img);
				win.add_overlay(render_face_detections(shapes));

				// We can also extract copies of each face that are cropped, rotated upright,
				// and scaled to a standard size as shown here:
				dlib::array<array2d<rgb_pixel> > face_chips;
				extract_image_chips(img, get_face_chip_details(shapes), face_chips);
				win_faces.set_image(tile_images(face_chips));

				if (dets.size()>0)
				{
					char str[10];
					const string source = strcat(itoa(picNo, str, 10), ".jpg");
					save_jpeg(tile_images(face_chips), source, 75);
					picNo = picNo + 1;
					//cout << picNo << endl;
				}
	
				cout << "Hit enter to process the next image..." << endl;
				cin.get();
			}
		}
		else
		{
			cout << "no such file!" << endl;
		}
	}
	catch (exception& e)
	{
		cout << "\nexception thrown!" << endl;
		cout << e.what() << endl;
	}
	return 0;
}

// ----------------------------------------------------------------------------------------#include <fstream>  
#include <string>  
#inclu