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| #include "mainwindow.h"
#include "ui_mainwindow.h"
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <QDebug>
using namespace std;
using namespace cv;
const String haarcascade_face = "/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml";
const String haarcascade_eye = "/usr/local/share/OpenCV/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
const double scale = 3.0;
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
ui->setupUi(this);
}
void MainWindow::main (){
CascadeClassifier cascade_face, cascade_eye;
CvCapture* capture = 0;
Mat frame, frameCopy, image;
//load cascade file for face detection
//If the load function returns false, set a break point before this call
//and see the contents inside "haarcascade_face".
//If it loading the contents of Haar cascade, but returning false, then check your additional dependency.
//If you are running under "debug", you have to use xxxxd.lib instead of xxxx.lib.
if(!cascade_face.load(haarcascade_face)){
//QDebug("ERROR: Could not load classifier cascade");
return;
}
//load cascade file for eye detection
if(!cascade_eye.load(haarcascade_eye)){
//QDebug("ERROR: Could not load classifier cascade");
return;
}
//capture camera image
capture = cvCaptureFromCAM(0);
//create window
cvNamedWindow("result", 1); //arg2 = 1 for autosize
//process captured image
if( capture )
{
cout << "In capture ..." << endl;
for(;;)
{
IplImage* iplImg = cvQueryFrame( capture );
frame = iplImg;
if( frame.empty() )
break;
if( iplImg->origin == IPL_ORIGIN_TL )
frame.copyTo( frameCopy );
else
flip( frame, frameCopy, 0 );
detectAndDraw( frameCopy, cascade_face, cascade_eye, scale );
//Don't know why it needs wait call, but it always here...
if( waitKey( 10 ) >= 0 ) //wait for 10msec before processing next frame
//if the key entry is detected, it will break from the loop
goto _cleanup_;
}
waitKey(0);
_cleanup_:
//Do not forget release memory
cvReleaseCapture( &capture );
}
}
void MainWindow::detectAndDraw( Mat& img,CascadeClassifier& cascade, CascadeClassifier& nestedCascade,double scale)
{
int i = 0;
double t = 0;
vector<Rect> faces;
const static Scalar colors[] = { CV_RGB(0,0,255),
CV_RGB(0,128,255),
CV_RGB(0,255,255),
CV_RGB(0,255,0),
CV_RGB(255,128,0),
CV_RGB(255,255,0),
CV_RGB(255,0,0),
CV_RGB(255,0,255)} ;
Mat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );
cvtColor( img, gray, CV_BGR2GRAY );
resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
equalizeHist( smallImg, smallImg );
t = (double)cvGetTickCount();
cascade.detectMultiScale( smallImg, faces,
1.1, 2, 0
//|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
|CV_HAAR_SCALE_IMAGE
,
Size(30, 30) );
t = (double)cvGetTickCount() - t;
printf( "detection time = %g ms\n", t/((double)cvGetTickFrequency()*1000.) );
//Draw Circle on the output image
for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
{
Mat smallImgROI;
vector<Rect> nestedObjects;
Point center;
Scalar color = colors[i%8];
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);
circle( img, center, radius, color, 3, 8, 0 );
/* Commenting eye detection part out to make it faster...
//detecting eye
if( nestedCascade.empty() )
continue;
smallImgROI = smallImg(*r);
nestedCascade.detectMultiScale( smallImgROI, nestedObjects,
1.1, 2, 0
//|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
//|CV_HAAR_DO_CANNY_PRUNING
|CV_HAAR_SCALE_IMAGE
,
Size(30, 30) );
for( vector<Rect>::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++ )
{
center.x = cvRound((r->x + nr->x + nr->width*0.5)*scale);
center.y = cvRound((r->y + nr->y + nr->height*0.5)*scale);
radius = cvRound((nr->width + nr->height)*0.25*scale);
circle( img, center, radius, color, 3, 8, 0 );
}
*/
}
cv::imshow( "result", img );
}
MainWindow::~MainWindow()
{
delete ui;
} |
(
