detect.cpp

基于OpenCV的计算机视觉技术实现.rar

#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";*/

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 = "../../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;
		}//for

		cvReleaseImage( &frame_copy );
		cvReleaseCapture( &capture );
	} //if
	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 );
					}
				}//while
				fclose(f);
			}//if f
		}//else image
	}//else capture

	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, 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 );
		}
	}//if cascade

	cvShowImage( "result", img );
	cvReleaseImage( &gray );
	cvReleaseImage( &small_img );
}