OpenCV 实践程序12——用分类器对视频进行人脸检测

//#include "stdafx.h"  
  
#include "cv.h"  
#include "highgui.h"  
  
#include <stdio.h>  
#include <stdlib.h>  
#include <string.h>  
#include <assert.h>  
#include <math.h>  
#include <float.h>  
#include <limits.h>  
#include <time.h>  
#include <ctype.h>  
  
#ifdef _EiC  
#define WIN32  
#endif  
  
static CvMemStorage* storage = 0;  
static CvHaarClassifierCascade* cascade = 0;  
  
void detect_and_draw( IplImage* image );  
  
const char* cascade_name =  "cascade.xml";  //cascade   haarcascade_frontalface_alt2

  
int main( int argc, char** argv )  
{  
    CvCapture* capture = 0;  
    IplImage *frame, *frame_copy = 0;  
    int optlen = strlen("--cascade=");  
    const char* input_name;  
  
    cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );  
  
    if( !cascade )  
    {  
        fprintf( stderr, "ERROR: Could not load classifier cascade\n" );  
        fprintf( stderr,  
            "Usage: facedetect --cascade=\"<cascade_path>\" [filename|camera_index]\n" );  
        return -1;  
    }  
    storage = cvCreateMemStorage(0);  
  
    cvNamedWindow( "result", 1 );  
  
/*
  
//检测图片  
    IplImage* image = cvLoadImage("lena.jpg", 1 );  
    if( image )  
    {  
        detect_and_draw( image );  
        cvWaitKey(-1);  
        cvReleaseImage( &image );  
    }  
    else  
        printf("error\n");  
  
*/
 
//检测视频 
    capture = cvCaptureFrom***I("1.avi");  
     
    if( capture ) 
    { 
        for(;;) 
        { 
            if( !cvGrabFrame( capture )) 
                break; 
            frame = cvRetrieveFrame( capture ); 
            if( !frame ) 
                break; 
            if( !frame_copy ) 
                frame_copy = cvCreateImage( cvSize(frame->width,frame->height), 
                IPL_DEPTH_8U, frame->nChannels ); 
 
            if( frame->origin == IPL_ORIGIN_TL ) 
                cvCopy( frame, frame_copy, 0 ); 
            else 
                cvFlip( frame, frame_copy, 0 ); 
 
            IplImage *equ = cvCreateImage(cvGetSize(frame_copy),8, 1); 
            IplImage *gray = cvCreateImage(cvGetSize(frame_copy), 8, 1); 
            cvCvtColor(frame_copy, gray, CV_BGR2GRAY); 
            cvEqualizeHist(gray, equ); 
 
            //cvNamedWindow("yuantu"); 
            //cvNamedWindow("equ"); 
            //cvShowImage("yuantu",gray); 
            //cvShowImage("equ",equ); 
             
            detect_and_draw( frame_copy ); 
 
            if( cvWaitKey( 10 ) >= 0 ) 
                break; 
            //cvReleaseImage(&gray); 
            //cvReleaseImage(&equ); 
        } 
 
         
 
        cvReleaseImage( &frame_copy ); 
        cvReleaseCapture( &capture ); 
    } 
 
    cvWaitKey(-1); //检测图片的时候，等待显示  
    cvDestroyWindow("result");  
  
    return 0;  
}  
  
void detect_and_draw( IplImage* img )  
{  
    static CvScalar colors[] =   
    {  
        {{0,0,255}},  
        {{0,128,255}},  
        {{0,255,255}},  
        {{0,255,0}},  
        {{255,128,0}},  
        {{255,255,0}},  
        {{255,0,0}},  
        {{255,0,255}}  
    };  
  
    double scale = 1.3;  
    IplImage* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 );  
    IplImage* small_img = cvCreateImage( cvSize( cvRound (img->width/scale),  
        cvRound (img->height/scale)),  
        8, 1 );  
    int i;  
  
    cvCvtColor( img, gray, CV_BGR2GRAY );  
    cvResize( gray, small_img, CV_INTER_LINEAR );  
    cvEqualizeHist( small_img, small_img );  
    cvClearMemStorage( storage );  
  
    if( cascade )  
    {  
        double t = (double)cvGetTickCount();  
        CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage,  
            1.1, 2, 0/*CV_HAAR_DO_CANNY_PRUNING*/,  
            cvSize(30, 30) );  
          
        printf("face's total is %d\n",faces->total);  
  
        t = (double)cvGetTickCount() - t;  
        printf( "detection time = %gms\n", t/((double)cvGetTickFrequency()*1000.) );  
        for( i = 0; i < (faces ? faces->total : 0); i++ )  
        {  
            CvRect* r = (CvRect*)cvGetSeqElem( faces, i );  
            //用矩形框框出  
            cvRectangle(img, cvPoint(r->x * scale, r->y * scale), cvPoint( (r->x + r->width) * scale, (r->y + r->height)  * scale), colors[i%8], 3, 8, 0);  
            /* 
            //用原型框出 
            CvPoint center; 
            int radius; 
            center.x = cvRound((r->x + r->width*0.5)*scale); 
            center.y = cvRound((r->y + r->height*0.5)*scale); 
            radius = cvRound((r->width + r->height)*0.25*scale); 
            cvCircle( img, center, radius, colors[i%8], 3, 8, 0 ); 
            */  
        }  
    }  
  
    cvShowImage( "result", img );  
    cvReleaseImage( &gray );  
    cvReleaseImage( &small_img );  
}