Linux下python与C++使用dlib实现人脸检测

python 与 C++ dlib人脸检测结果对比，供大家参考，具体内容如下

说明：

由于项目需求发现Linux下c++使用dlib进行人脸检测和python使用dlib检测，得到的结果出入比较大，于是写了测试用例，发现影响结果的原因有但不限于：

1.dlib版本不同（影响不大，几个像素的差别）
2.dlib 人脸检测中detector()第二个参数的设置测试结果如下：

python

PDlib.py：

# -*- coding: utf-8 -*-import sysimport cv2 import dlibfrom skimage import iodetector = 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()

C++

CDlib.cpp：

#include <dlib/image_processing/frontal_face_detector.h>#include <dlib/opencv.h>#include "opencv2/opencv.hpp"#include <iostream>using namespace dlib;using namespace std;cv::Rect Detect(cv::Mat im){  cv::Rect R;  frontal_face_detector detector = get_frontal_face_detector();  array2d<bgr_pixel> img;   assign_image(img, cv_image<uchar>(im));  std::vector<rectangle> 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<<"("<<R.x<<","<<R.y<<","<<R.width<<","<<R.height<<")"<<endl;  }  return R;}int main(int argc, char** argv){  if (argc != 2) {    fprintf(stderr, "请输入正确参数/n");    return 1;  }    string path = argv[1];  try  {        cv::Mat src, dec;    src = cv::imread(path);    src.copyTo(dec);    cv::cvtColor(dec, dec, CV_BGR2GRAY);    cv::Rect box;    box = Detect(dec);    cv::rectangle(src, box, cv::Scalar(0, 0, 255), 1, 1, 0);        cv::imshow("frame", src);    cv::imwrite("./C_Dlib_test.jpg", src);    cv::waitKey(0);//等待建入   }  catch (exception& e)  {    cout << e.what() << endl;  }} 

项目编译及运行

python

运行脚本 python PDlib.py G:/DlibTest/data/bush.jpg

C++