#include "opencv2/opencv.hpp"
//#include "opencv/cv.h"
//#include "opencv/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>
#include <sys/stat.h>
#include <iostream>
using namespace cv;
using std::cout;
using std::endl;
static CvMemStorage* storage = cvCreateMemStorage();
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 *image =0;
IplImage *frame, *frame_copy = 0;
// int optlen = strlen("--cascade=");
cascade_name = "./haarcascade_frontalface_alt2.xml";
//opencv瑁呭ソ鍚巋aarcascade_frontalface_alt2.xml鐨勮矾寰?
//涔熷彲浠ユ妸杩欎釜鏂囦欢鎷峰埌浣犵殑宸ョ▼鏂囦欢澶逛笅鐒跺悗涓嶇敤鍐欒矾寰勫悕cascade_name= "haarcascade_frontalface_alt2.xml";
cascade = (CvHaarClassifierCascade*) cvLoad(cascade_name,0,0,0);//Problem happens
if( !cascade )
{
fprintf( stderr, "ERROR: Could not load classifier cascade\n" );
fprintf( stderr,
"Usage: facedetect --cascade=\"<cascade_path>\" [filename|camera_index]\n" );
return -1;
}
//capture a pictrue from camera
capture = cvCaptureFromCAM(0);//CV_CAP_ANY );
//if captured successfully, save the image as capture.jpg , detect and draw
cvSetCaptureProperty (capture,CV_CAP_PROP_FRAME_WIDTH,320);
cvSetCaptureProperty (capture,CV_CAP_PROP_FRAME_HEIGHT,240);
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 );
frame_copy = cvCreateImage( cvSize(320,240),IPL_DEPTH_8U, frame->nChannels );
//copy frame to frame_copy and ensure frame_copy is not upside down
if( frame->origin == IPL_ORIGIN_TL )
cvResize(frame,frame_copy,CV_INTER_LINEAR);
//cvCopy( frame, frame_copy, 0 );
else
{
cvResize(frame,frame_copy,CV_INTER_LINEAR);
cvFlip( frame, frame_copy, 0 );
}
//save captured image
const char* filename = (char*)"./capture.bmp";// local path
cvSaveImage(filename,frame_copy);
//detect and draw
detect_and_draw( frame_copy );
}
cvReleaseImage( &frame_copy );
cvReleaseCapture( &capture );
}
else
{
const char* filename = (char*)"./lena.bmp";// local path
image = cvLoadImage( filename, 1 );
if(!image)
{
printf("load image fault!\n");
}
else
detect_and_draw( image );
cvReleaseImage( &image );
}
cvReleaseHaarClassifierCascade( &cascade );
return 0;
}
void detect_and_draw( IplImage* img )
{
static CvScalar colors = CV_RGB( 255, 0, 0);
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 );
cvCvtColor( img, gray, CV_BGR2GRAY );
cvResize( gray, small_img, CV_INTER_LINEAR );
cvEqualizeHist( small_img, small_img );
cvClearMemStorage( storage );
if( cascade )
{
int i;
double t = (double)cvGetTickCount();
CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage,1.2, 2, 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, 3, 8, 0 );
}
}
IplImage grayy = cvCreateImage( cvSize(img->width,img->height), 8, 3 );
const char* filename = (char*)"./detection.bmp";
cvSaveImage(filename,img);//save the result as "detection.bmp"
cvReleaseImage( &gray );
cvReleaseImage( &small_img );
}
