OpenCV学习笔记（29）人脸识别 练习

#include <opencv2/core/core.hpp>  #include<opencv2/highgui/highgui.hpp>  #include"opencv2/imgproc/imgproc.hpp"  #include <opencv2/opencv.hpp>  #include <iostream>  #include <Windows.h>  using namespace cv;void main(){std::string xmlPath;xmlPath = "E:\\opencv3.2\\opencv\\build\\etc\\haarcascades\\haarcascade_frontalface_default.xml";CascadeClassifier  ccf; //创建分类器对象Mat srcimage;srcimage = imread("106.jpg");if (!ccf.load(xmlPath)) //加载训练文件{std::cout << "不能加载xml文件" << std::endl;}std::vector <Rect> faces; //创建容器保存检测出来的脸Mat grayimage;cvtColor(srcimage, grayimage, CV_BGR2GRAY);Scalar FaceCirclecolors[] = {{ Scalar(0, 128, 255 ) },{ Scalar(0, 255, 255) },{ Scalar(0, 255,   0) },{ Scalar(0, 0,   255) },{ Scalar(255, 128, 0) },{ Scalar(255, 255, 0) },{ Scalar(255, 0,   0) },{ Scalar(255, 0, 255) }};DWORD dwTimeBegin, dwTimeEnd;dwTimeBegin = GetTickCount();ccf.detectMultiScale(grayimage, faces, 1.1, 3, 0, Size(10, 10), Size(100, 100));//识别dwTimeEnd = GetTickCount();std::cout << "人脸个数\n" << faces.size() << "\n识别用时\n" << dwTimeEnd - dwTimeBegin <<"ms\n"<< std::endl;int i = 0;for (std::vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); i++,r++){rectangle(srcimage, *r, FaceCirclecolors[i%8], 2, 8);}namedWindow("faces");imshow("faces", srcimage);waitKey(0);}