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The open cv files
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@Aravindlivewire
Aravindlivewire committed Apr 5, 2012
1 parent 3731379 commit 424c10c
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146 changes: 146 additions & 0 deletions faceinpicture.cpp
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#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"

#include <iostream>
#include <stdio.h>

using namespace std;
using namespace cv;

String cascadeName ="/home/project/Desktop/final/haar.xml";
String nestedCascadeName = "/home/project/Desktop/haarcascades/haarcascade_mcs_nose.xml";
//String cascadeName2 = "/home/project/Desktop/final/pen.xml";

CascadeClassifier cascade,nestedCascade;

int facecounter=0;

/*int g_switch_value = 0;
// This will be the callback that we give to the
// trackbar.
//
void switch_callback( int position )
{
if( position != 0 )
{
cascade.load(cascadeName);
nestedCascade.load(nestedCascadeName);
}
else
{
cascade.load(cascadeName2);
nestedCascade.load(cascadeName2);
}
}*/

void detectAndDraw( Mat& img,
CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
double scale);



int main( int argc, const char** argv )
{
CvCapture* capture = 0;
Mat image;
double scale = 1;

cascade.load(cascadeName);
nestedCascade.load(nestedCascadeName);



cvNamedWindow( "result", 1 );



image = imread( argv[1], 1 );
if( !image.empty() )
{


detectAndDraw( image, cascade, nestedCascade, scale );
cout<<endl<<" Number of face(s) detected :"<<facecounter+1<<endl;
waitKey(0);
}



cvDestroyWindow("result");

return 0;
}

void 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.) );
for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
{facecounter=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);
rectangle(img,Point(center.x+radius,center.y+radius),Point(center.x-radius,center.y-radius),color,1,8,0);//circle( img, center, radius, color, 3, 8, 0 );
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);
// rectangle(img,Point(center.x+radius,center.y+radius),Point(center.x-radius,center.y-radius),color,1.5,8,0);
circle( img, center, radius, color, 2, 8, 0 );
}
}


cv::imshow( "result", img );
}
191 changes: 191 additions & 0 deletions faceinvideo2.cpp
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#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"

#include <iostream>
#include <stdio.h>

using namespace std;
using namespace cv;

String cascadeName = "/home/project/Desktop/haarcascades/haarcascade_frontalface_alt2.xml";
String nestedCascadeName = "/home/project/Desktop/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
String cascadeName2 = "/home/project/Desktop/haarcascades/aGest.xml";


CascadeClassifier cascade,nestedCascade;

int slider_pos=0;
int g_switch_value=0;
int g_slider_position=0;

CvCapture* capture=NULL;

void onTrackbarSlide(int pos)
{
cvSetCaptureProperty(
capture,
CV_CAP_PROP_POS_FRAMES,
pos);
}




void detectAndDraw( Mat& img,
CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
double scale);

void switch_callback( int position )
{
if( position != 0 )
{
cascade.load(cascadeName);
nestedCascade.load(nestedCascadeName);
}
else
{
cascade.load(cascadeName2);
nestedCascade.load(cascadeName2);


}

}




int main( int argc, const char** argv )
{

double scale = 1;
capture = cvCaptureFromAVI(argv[1]);

int frames = (int) cvGetCaptureProperty(
capture,
CV_CAP_PROP_FRAME_COUNT
);
if( frames!= 0 ) {
cvCreateTrackbar(
"Position",
"Example3",
&g_slider_position,
frames,
onTrackbarSlide
);
}


Mat frameCopy, image;
Mat frame;



if(!capture) cout << "Capture from file did not work " << " 0 " << " didn't work" << endl;


cvNamedWindow( "result", 1 );

cvCreateTrackbar("Switch","result",&g_switch_value,1,switch_callback);//trackbar
{
cvCreateTrackbar(
"position",
"result",
&slider_pos,
frames,
onTrackbarSlide);
}

if( capture )
{
cout << "In capture ..." << endl;
for(;;)
{
IplImage* iplImg = cvQueryFrame( capture );
frame = iplImg;

detectAndDraw( frame, cascade, nestedCascade, scale );

if( waitKey( 10 ) >= 0 )
goto _cleanup_;
}

waitKey(0);

_cleanup_:
cvReleaseCapture( &capture );
}




cvDestroyWindow("result");

return 0;
}

void 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.) );
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);
rectangle(img,Point(center.x+radius,center.y+radius),Point(center.x-radius,center.y-radius),color,1,8,0);//circle( img, center, radius, color, 3, 8, 0 );
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);
// rectangle(img,Point(center.x+radius,center.y+radius),Point(center.x-radius,center.y-radius),color,1.5,8,0);
circle( img, center, radius, color, 2, 8, 0 );
}
}
cv::imshow( "result", img );
}
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