基于harr的人脸检测
来源:互联网 发布:python实现cnn算法 编辑:程序博客网 时间:2024/05/21 18:07
这是一个超级简单的人脸检测程序,关键代码才两句
头文件:
#pragma once
#include "cv.h"
#include "highgui.h"
class MFace
{
public:
MFace(void);
~MFace(void);
CvHaarClassifierCascade* Loadhaar(CString path);
int FindAndDraw(CString image,CvHaarClassifierCascade* cascade,int pyrdown);
};
源文件:
#include "StdAfx.h"
#include "MFace.h"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
using namespace std;
using namespace cv;
MFace::MFace(void)
{
CvHaarClassifierCascade* cascade = Loadhaar("haarcascade_frontalface_alt.xml");
FindAndDraw("D:\\tmp\\physical.jpg",cascade,0);
}
MFace::~MFace(void)
{
}
CvHaarClassifierCascade* MFace::Loadhaar(CString path){
return (CvHaarClassifierCascade*)cvLoad(path);
}
int MFace::FindAndDraw(CString image,CvHaarClassifierCascade* cascade,int pyrdown){
CvMemStorage* mem= cvCreateMemStorage(0);
CvSeq* seq = NULL;
//加载检测图片
IplImage* mainImage = cvLoadImage(image,0);
//如果金子塔变换加载小图片
IplImage* smallImage;
if(pyrdown > 0){
smallImage = cvCreateImage(cvSize(mainImage->width/2,mainImage->height/2),mainImage->depth,mainImage->nChannels);
cvPyrDown(mainImage,smallImage,CV_GAUSSIAN_5x5);
}
else{
smallImage = cvCreateImage(cvGetSize(mainImage),mainImage->depth,mainImage->nChannels);
cvCopy(mainImage,smallImage);
}
//绘制找到的地方
seq = cvHaarDetectObjects(smallImage,cascade,mem,1.2,2,CV_HAAR_DO_CANNY_PRUNING);
for (int i = 0; i < seq->total;i++){
CvRect center = *(CvRect*)cvGetSeqElem(seq,i);
cvDrawRect(mainImage,cvPoint(center.x,center.y),cvPoint(center.x+center.width,center.y + center.height),cvScalarAll(255),2);
}
//保存图像
cvSaveImage("D:\\result.bmp",mainImage);
return 0;
}
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