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圖片人臉檢測 (II)【ch13】
ch13
運行效果同樣good：
//人臉檢測
#include <opencv2/opencv.hpp>
#include <cstdio>
#include <cstdlib>
#include <Windows.h>
using namespace std;
int main()
{
// 加載Haar特征檢測分類器
// haarcascade_frontalface_alt.xml係OpenCV自帶的分類器 下麵是我機器上的文件路徑
const char *pstrCascadeFileName = "D:\\Program Files\\opencv\\data\\haarcascades\\haarcascade_frontalface_alt.xml";
CvHaarClassifierCascade *pHaarCascade = NULL;
pHaarCascade = (CvHaarClassifierCascade*)cvLoad(pstrCascadeFileName);
// 載入圖像
const char *pstrImageName = "005.jpg";
IplImage *pSrcImage = cvLoadImage(pstrImageName, CV_LOAD_IMAGE_UNCHANGED);
IplImage *pGrayImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 1); //變成灰度圖像
cvCvtColor(pSrcImage, pGrayImage, CV_BGR2GRAY);
// 人臉識別與標記
if (pHaarCascade != NULL)
{
//用不同的顏色標記人臉
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);
// 識別
DWORD dwTimeBegin, dwTimeEnd;
dwTimeBegin = GetTickCount();
CvSeq *pcvSeqFaces = cvHaarDetectObjects(pGrayImage, pHaarCascade, pcvMStorage);
dwTimeEnd = GetTickCount();
printf("人臉個數: %d 識別用時: %d ms\n", pcvSeqFaces->total, dwTimeEnd - dwTimeBegin);
// 標記
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 = "人臉識別";
cvNamedWindow(pstrWindowsTitle, CV_WINDOW_AUTOSIZE);
cvShowImage(pstrWindowsTitle, pSrcImage);
cvWaitKey(0);
cvDestroyWindow(pstrWindowsTitle);
cvReleaseImage(&pSrcImage);
cvReleaseImage(&pGrayImage);
return 0;
}
最後更新：2017-04-03 05:39:30