Linux下python与C++使用dlib实现人脸检测

# -*- coding: utf-8 -*-

import sys
import cv2 
import dlib

from skimage import io
detector = dlib.get_frontal_face_detector()
win = dlib.image_window()

for f in sys.argv[1:]: 
  img = io.imread(f)

  dets = detector(img,1) #使用detector进行人脸检测

  for i, d in enumerate(dets):
    x = d.left()
    y = d.top()
    w = d.right()
    h = d.bottom()   
    cv2.rectangle(img, (x, y), (w, h), (0, 255, 0))
    print("({},{},{},{})".format( x, y, (w-x), (h-y)))

  win.set_image(img)
  io.imsave('./P_Dlib_test.jpg',img)

  #等待点击
  dlib.hit_enter_to_continue()

#include 
#include 
#include "opencv2/opencv.hpp"
#include 

using namespace dlib;
using namespace std;

cv::Rect Detect(cv::Mat im)
{
  cv::Rect R;
  frontal_face_detector detector = get_frontal_face_detector();
  array2d img; 
  assign_image(img, cv_image(im));
  std::vector dets = detector(img);//检测人脸

  //查找最大脸
  if (dets.size() != 0)
  {
    int Max = 0;
    int area = 0;
    for (unsigned long t = 0; t < dets.size(); ++t)
    {      
      if (area < dets[t].width()*dets[t].height())
      {
        area = dets[t].width()*dets[t].height();
        Max = t;
      }
    }

    R.x = dets[Max].left();
    R.y = dets[Max].top();
    R.width = dets[Max].width();
    R.height = dets[Max].height();
    cout<<"("<