#include <opencv2/opencv.hpp>#include <cstdio>#include <cstdlib>#include <iostream>#include <Windows.h>  using namespace std;int main(){    // 加载Haar特征检测分类器    // haarcascade_frontalface_alt.xml系OpenCV自带的分类器 下面是我机器上的文件路径    const char *pstrCascadeFileName = "D:\\opencv\\opencv2.4.10\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml";    CvHaarClassifierCascade *pHaarCascade = NULL;    pHaarCascade = (CvHaarClassifierCascade*)cvLoad(pstrCascadeFileName);    // 载入图像    const char *pstrImageName = "D:\\721.jpg";    IplImage *pSrcImage = cvLoadImage(pstrImageName, CV_LOAD_IMAGE_UNCHANGED);        IplImage *pGrayImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 1);    cvCvtColor(pSrcImage, pGrayImage, CV_BGR2GRAY);    // 人脸识别与标记    if (pHaarCascade != NULL)    {                CvScalar FaceCirclecolors[] =         {            {{0, 0, 255}},            {{0, 128, 255}},            {{0, 255, 255}},            {{0, 255, 0}},            {{255, 128, 0}},            {{255, 255, 0}},            {{255, 0, 0}},            {{255, 0, 255}}        };        CvMemStorage *pcvMStorage = cvCreateMemStorage(0);        cvClearMemStorage(pcvMStorage);        DWORD dwTimeBegin, dwTimeEnd;        dwTimeBegin = GetTickCount();        CvSeq *pcvSeqFaces = cvHaarDetectObjects(pGrayImage, pHaarCascade, pcvMStorage);        dwTimeEnd = GetTickCount();        printf("人脸个数: %d   识别用时: %d ms\n", pcvSeqFaces->total, dwTimeEnd - dwTimeBegin);                for(int i = 0; i <pcvSeqFaces->total; i++)        {            CvRect* r = (CvRect*)cvGetSeqElem(pcvSeqFaces, i);            CvPoint center;            int radius;            center.x = cvRound((r->x + r->width * 0.5));            center.y = cvRound((r->y + r->height * 0.5));            radius = cvRound((r->width + r->height) * 0.25);            cvCircle(pSrcImage, center, radius, FaceCirclecolors[i % 8], 2);        }        cvReleaseMemStorage(&pcvMStorage);    }        const char *pstrWindowsTitle = "人脸识别";    cvNamedWindow(pstrWindowsTitle, CV_WINDOW_AUTOSIZE);    cvShowImage(pstrWindowsTitle, pSrcImage);    cvWaitKey(0);    cvDestroyWindow(pstrWindowsTitle);    cvReleaseImage(&pSrcImage);        cvReleaseImage(&pGrayImage);    return 0;}