www.pudn.com > PCA_faceRec_V2.rar > detction.cpp

#include "HaarDetecting.h" 
 
bool  read_Bigphoto_name(const char * s,int& PhotoNum,string Bigphoto_name[]) 
    { 
	 WIN32_FIND_DATA fd; 
          HANDLE hFind; 
         CListm_filelist;  
		    
	      hFind=::FindFirstFile(s,&fd); 
	      assert(!(hFind==INVALID_HANDLE_VALUE));		        
		  int count=0; 
	      do  
		  { 
	        	m_filelist.AddTail(CString(fd.cFileName)); 
				count++; 
		  } while(::FindNextFile(hFind,&fd)); 
	      ::FindClose(hFind); 
 
	      POSITION pos=m_filelist.GetHeadPosition(); 
	      CString strFile; 
		  int i=0;     
	      while (pos) 
		  {	    	 
		 
		    strFile=m_filelist.GetNext(pos); 
			Bigphoto_name[i]=strFile; 
		    printf("%s ",strFile);		  
	            i++; 
		  } 
		  PhotoNum=i; 
		  return true; 
} 
	 
int main() 
{ 
	MySize origWindowSize; 
	origWindowSize.height=20;    //最初的采样窗大小  
	origWindowSize.width=20;     // 
	const int maxstep=14;        //最大步长 
	const char* directory="DATA_1号用20000个\\"; 
	string ss="检测出的人脸\\"; 
	ClassifierCascade* cascade=NULL;   // 
	DetCascadeClassifier* detcascade=NULL;  // 
    int nImgWidth=1840,nImgHeight=1060;     // ?? 
	const char* s="temp\\0.bmp"; 
	string s2="temp\\"; 
	int PhotoNum; 
	string Bigphoto_name[100]; 
    read_Bigphoto_name(s,PhotoNum,Bigphoto_name); 
 
	//for debug 
	//printf("PhotoNum: %d   Bigphoto_name: %c\n",PhotoNum,Bigphoto_name[0]); //zou 
	// 
    
	cascade=LoadClassifierCascade(directory, maxstep, origWindowSize); 
 
	if (cascade==NULL) 
	{ 
		cout<<"can not load the data for ClassifierCascade\n"; 
	} 
	 
    MyRect detRegion; 
	 
    vector* vecFaces=new vector; 
	MySize min_size,max_size; 
	 
	int min_neighbors=2; 
	double scale_factor=1.1F; 
	 
    int liite_face_count=0; 
    string ww=".bmp",bb,dd; 
    int c=0; 
    int x,y,w,h; 
     BYTE* pb=NULL; 
    int temp_nImgWidth=0,temp_nImgHeight=0; 
	  
for(int k=0;kmax_size.height) 
		{ 
			max_size.width=max_size.height; 
		} 
		else 
			max_size.height=max_size.width; 
	    temp_nImgHeight=nImgHeight; 
	    temp_nImgWidth=nImgWidth; 
 
    }                                                                  //  
   clock_t start, finish; 
   double  duration;start = clock(); 
	HaarDetectFaces( pbyteSrcImg,  
					  nImgWidth,nImgHeight, 
					  detRegion, 
					  detcascade, 
					  vecFaces, 
					  min_size, 
					   max_size, 
					   min_neighbors, 
					  scale_factor ); 
 
	  vector::iterator iter_begin = vecFaces->begin(); 
	  vector::iterator iter_end = vecFaces->end(); 
	  vector::iterator iter_p; 
	  finish = clock(); 
      duration = (double)(finish - start) / CLOCKS_PER_SEC;   
	 
	bb=Bigphoto_name[liite_face_count++]; 
	int pos=bb.length()-4; 
    int i=0; 
	for (iter_p=iter_begin;iter_px;y=iter_p->y;w=iter_p->width;h=iter_p->height; 
		i++;		 
    if(i>=1) 
	{ 
	  if(i==1)bb=bb.insert(pos,"_");	   
    pos=bb.length()-4; 
    string c[5]={"a","b","c","d","e"}; 
	if(i>1){ 
        pos=bb.length()-4; 
		bb=bb.erase(pos-1,1); 
	} 
	pos=bb.length()-4; 
	bb=bb.insert(pos,c[i-1]); 
	 
    dd=ss+bb; 
	printf("%s  ",bb.c_str()); 
	} 
    WriteBmpFile(dd.c_str(),pbyteSrcImg,w,h,nImgWidth,nImgHeight,x,y); 
	} 
    printf( "%.4f seconds\n", duration );    
       
	//	bb=Bigphoto_name[liite_face_count++]; 
	    //bb=ss+bb; 
	//	printf("nImgWidth=%d,nImgHeight=%d\n",nImgWidth,nImgHeight); 
	//	WriteBmpFile(bb.c_str(),pbyteSrcImg,nImgWidth,nImgHeight);    //写bmp文件(人脸检测结果)	 
		//WriteBmpFile(bb.c_str(),pbyteSrcImg,w+15,h+15,nImgWidth,nImgHeight,x-15,y-15); 
		 
       delete []pbyteSrcImg; 
} 
	ReleaseClassifierCascade( cascade); 
	return 0; 
}