openCV 人脸检测 VC2008代码

迷南。 2022-09-29 06:06 248阅读 0赞

// OPENCV 1.cpp : 定义控制台应用程序的入口点。 // /\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\* \* OpenCV 2.0 测试例程 \* 于仕琪 提供 \*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*/ \#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 = "haarcascade\_frontalface\_alt.xml"; /\* "haarcascade\_profileface.xml";\*/ //所有的以新风格命名的函数都在 cv 命名空间中 //如果希望不要每次都输入 cv:: ，则可使用下面语句 using namespace cv; int \_tmain(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装好后haarcascade\_frontalface\_alt2.xml的路径, //也可以把这个文件拷到你的工程文件夹下然后不用写路径名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 ); \}