学步园

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效果图：

#include "cv.h"<br /> #include "highgui.h"</p> <p>#include <stdio.h><br /> #include <stdlib.h><br /> #include <string.h><br /> #include <assert.h><br /> #include <math.h><br /> #include <float.h><br /> #include <limits.h><br /> #include <time.h><br /> #include <ctype.h></p> <p>static CvMemStorage* storage = 0;<br /> static CvHaarClassifierCascade* cascade = 0;</p> <p>void detect_and_draw( IplImage* image );</p> <p>const char* cascade_name =<br /> "haarcascade_frontalface_alt.xml";<br /> /* "haarcascade_profileface.xml";*/</p> <p>int main()<br /> {<br /> CvCapture* capture = 0;</p> <p> cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );</p> <p> if( !cascade )<br /> {<br /> fprintf( stderr, "ERROR: Could not load classifier cascade/n" );<br /> fprintf( stderr,<br /> "Usage: facedetect --cascade=/"<cascade_path>/" [filename|camera_index]/n" );<br /> return -1;<br /> }<br /> storage = cvCreateMemStorage(0);</p> <p> cvNamedWindow( "result", 1 );</p> <p> const char* filename = "leader2.jpg";<br /> IplImage* image = cvLoadImage(filename );</p> <p> if( image )<br /> {<br /> detect_and_draw( image );<br /> cvWaitKey(0);<br /> cvReleaseImage( &image );<br /> }</p> <p> cvDestroyWindow("result");<br /> cvWaitKey(0);<br /> return 0;<br /> }</p> <p>void detect_and_draw( IplImage* img )<br /> {<br /> static CvScalar colors[] =<br /> {<br /> {{0,0,255}},<br /> {{0,128,255}},<br /> {{0,255,255}},<br /> {{0,255,0}},<br /> {{255,128,0}},<br /> {{255,255,0}},<br /> {{255,0,0}},<br /> {{255,0,255}}<br /> };</p> <p> double scale = 1.3;<br /> IplImage* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 );<br /> IplImage* small_img = cvCreateImage( cvSize( cvRound (img->width/scale),<br /> cvRound (img->height/scale)),<br /> 8, 1 );<br /> int i;</p> <p> cvCvtColor( img, gray, CV_BGR2GRAY );<br /> cvResize( gray, small_img, CV_INTER_LINEAR );<br /> cvEqualizeHist( small_img, small_img );<br /> cvClearMemStorage( storage );</p> <p> if( cascade )<br /> {<br /> double t = (double)cvGetTickCount();<br /> CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage,<br /> 1.1, 2, 0/*CV_HAAR_DO_CANNY_PRUNING*/,<br /> cvSize(30, 30) );<br /> t = (double)cvGetTickCount() - t;<br /> printf( "detection time = %gms/n", t/((double)cvGetTickFrequency()*1000.) );<br /> for( i = 0; i < (faces ? faces->total : 0); i++ )<br /> {<br /> CvRect* r = (CvRect*)cvGetSeqElem( faces, i );<br /> CvPoint center;<br /> int radius;<br /> center.x = cvRound((r->x + r->width*0.5)*scale);<br /> center.y = cvRound((r->y + r->height*0.5)*scale);<br /> radius = cvRound((r->width + r->height)*0.25*scale);<br /> cvCircle( img, center, radius, colors[i%8], 3, 8, 0 );<br /> }<br /> }</p> <p> cvShowImage( "result", img );<br /> cvReleaseImage( &gray );<br /> cvReleaseImage( &small_img );<br /> }<br />