OpenCV-2.4.3 FaceDetector
来源:互联网 发布:kali 远程控制windows 编辑:程序博客网 时间:2024/06/05 00:18
这个程序可以做人脸识别,根据测试,识别的效果还不错。
#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#endifstatic CvMemStorage* storage = 0;static CvHaarClassifierCascade* cascade = 0;void detect_and_draw( IplImage* image );const char* cascade_name = "haarcascade_frontalface_alt.xml";/* "haarcascade_profileface.xml";*/int main( int argc, char** argv ){ CvCapture* capture = 0; IplImage *frame, *frame_copy = 0; int optlen = strlen("--cascade="); const char* input_name; if( argc > 1 && strncmp( argv[1], "--cascade=", optlen ) == 0 ) { cascade_name = argv[1] + optlen; input_name = argc > 2 ? argv[2] : 0; } else { cascade_name = "haarcascade_frontalface_alt2.xml"; //opencv裝好後haarcascade_frontalface_alt2.xml的路徑, //也可以把這個文件拷到你的工程文件夾下然後不用寫路徑名cascade_name= "haarcascade_frontalface_alt2.xml"; //或者cascade_name ="C:\\Program Files\\OpenCV\\data\\haarcascades\\haarcascade_frontalface_alt2.xml" input_name = argc > 1 ? argv[1] : 0; } 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); if( !input_name || (isdigit(input_name[0]) && input_name[1] == '\0') ) capture = cvCaptureFromCAM( !input_name ? 0 : input_name[0] - '0' ); else capture = cvCaptureFromAVI( input_name ); cvNamedWindow( "result", 1 ); 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 ); detect_and_draw( frame_copy ); if( cvWaitKey( 10 ) >= 0 ) break; } cvReleaseImage( &frame_copy ); cvReleaseCapture( &capture ); } else { const char* filename = input_name ? input_name : (char*)"lena.jpg"; IplImage* image = cvLoadImage( filename, 1 ); if( image ) { detect_and_draw( image ); cvWaitKey(0); cvReleaseImage( &image ); } else { /* assume it is a text file containing the list of the image filenames to be processed - one per line */ FILE* f = fopen( filename, "rt" ); if( f ) { char buf[1000+1]; while( fgets( buf, 1000, f ) ) { int len = (int)strlen(buf); while( len > 0 && isspace(buf[len-1]) ) len--; buf[len] = '\0'; image = cvLoadImage( buf, 1 ); if( image ) { detect_and_draw( image ); cvWaitKey(0); cvReleaseImage( &image ); } } fclose(f); } } } 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) ); 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 ); 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 );}
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