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Update face detection samples

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This commit is contained in:
Suleyman TURKMEN 2015-09-18 11:39:39 +03:00
parent 9533982729
commit fd4761ba31
3 changed files with 134 additions and 179 deletions
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117
samples/cpp/facedetect.cpp
View File

@ -1,17 +1,7 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/videoio/videoio_c.h"
#include "opencv2/highgui/highgui_c.h"
#include <cctype>
#include <iostream>
#include <iterator>
#include <stdio.h>
using namespace std;
using namespace cv;
@ -28,7 +18,7 @@ static void help()
" [--try-flip]\n"
" [filename|camera_index]\n\n"
"see facedetect.cmd for one call:\n"
"./facedetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"../../data/haarcascades/haarcascade_eye.xml\" --scale=1.3\n\n"
"./facedetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml\" --scale=1.3\n\n"
"During execution:\n\tHit any key to quit.\n"
"\tUsing OpenCV version " << CV_VERSION << "\n" << endl;
}
@ -42,8 +32,8 @@ string nestedCascadeName = "../../data/haarcascades/haarcascade_eye_tree_eyeglas
int main( int argc, const char** argv )
{
CvCapture* capture = 0;
Mat frame, frameCopy, image;
VideoCapture capture;
Mat frame, image;
const string scaleOpt = "--scale=";
size_t scaleOptLen = scaleOpt.length();
const string cascadeOpt = "--cascade=";
@ -103,17 +93,17 @@ int main( int argc, const char** argv )
if( inputName.empty() || (isdigit(inputName.c_str()[0]) && inputName.c_str()[1] == '\0') )
{
capture = cvCaptureFromCAM( inputName.empty() ? 0 : inputName.c_str()[0] - '0' );
int c = inputName.empty() ? 0 : inputName.c_str()[0] - '0' ;
if(!capture) cout << "Capture from CAM " << c << " didn't work" << endl;
if(!capture.open(c))
cout << "Capture from camera #" << c << " didn't work" << endl;
}
else if( inputName.size() )
{
image = imread( inputName, 1 );
if( image.empty() )
{
capture = cvCaptureFromAVI( inputName.c_str() );
if(!capture) cout << "Capture from AVI didn't work" << endl;
if(!capture.open( inputName ))
cout << "Could not read " << inputName << endl;
}
}
else
@ -122,36 +112,27 @@ int main( int argc, const char** argv )
if(image.empty()) cout << "Couldn't read ../data/lena.jpg" << endl;
}
cvNamedWindow( "result", 1 );
if( capture )
if( capture.isOpened() )
{
cout << "In capture ..." << endl;
cout << "Video capturing has been started ..." << endl;
for(;;)
{
IplImage* iplImg = cvQueryFrame( capture );
frame = cv::cvarrToMat(iplImg);
capture >> frame;
if( frame.empty() )
break;
if( iplImg->origin == IPL_ORIGIN_TL )
frame.copyTo( frameCopy );
else
flip( frame, frameCopy, 0 );
detectAndDraw( frameCopy, cascade, nestedCascade, scale, tryflip );
Mat frame1 = frame.clone();
detectAndDraw( frame1, cascade, nestedCascade, scale, tryflip );
if( waitKey( 10 ) >= 0 )
goto _cleanup_;
int c = waitKey(10);
if( c == 27 || c == 'q' || c == 'Q' )
break;
}
waitKey(0);
_cleanup_:
cvReleaseCapture( &capture );
}
else
{
cout << "In image read" << endl;
cout << "Detecting face(s) in " << inputName << endl;
if( !image.empty() )
{
detectAndDraw( image, cascade, nestedCascade, scale, tryflip );
@ -190,8 +171,6 @@ _cleanup_:
}
}
cvDestroyWindow("result");
return 0;
}
@ -199,21 +178,24 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip )
{
int i = 0;
double t = 0;
vector<Rect> faces, faces2;
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 );
const static Scalar colors[] =
{
Scalar(255,0,0),
Scalar(255,128,0),
Scalar(255,255,0),
Scalar(0,255,0),
Scalar(0,128,255),
Scalar(0,255,255),
Scalar(0,0,255),
Scalar(255,0,255)
};
Mat gray, smallImg;
cvtColor( img, gray, COLOR_BGR2GRAY );
resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
double fx = 1 / scale;
resize( gray, smallImg, Size(), fx, fx, INTER_LINEAR );
equalizeHist( smallImg, smallImg );
t = (double)cvGetTickCount();
@ -221,8 +203,7 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
1.1, 2, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
if( tryflip )
{
@ -231,8 +212,7 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
1.1, 2, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
for( vector<Rect>::const_iterator r = faces2.begin(); r != faces2.end(); r++ )
{
@ -241,44 +221,45 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
}
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++ )
for ( size_t i = 0; i < faces.size(); i++ )
{
Rect r = faces[i];
Mat smallImgROI;
vector<Rect> nestedObjects;
Point center;
Scalar color = colors[i%8];
int radius;
double aspect_ratio = (double)r->width/r->height;
double aspect_ratio = (double)r.width/r.height;
if( 0.75 < aspect_ratio && aspect_ratio < 1.3 )
{
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);
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 );
}
else
rectangle( img, cvPoint(cvRound(r->x*scale), cvRound(r->y*scale)),
cvPoint(cvRound((r->x + r->width-1)*scale), cvRound((r->y + r->height-1)*scale)),
rectangle( img, cvPoint(cvRound(r.x*scale), cvRound(r.y*scale)),
cvPoint(cvRound((r.x + r.width-1)*scale), cvRound((r.y + r.height-1)*scale)),
color, 3, 8, 0);
if( nestedCascade.empty() )
continue;
smallImgROI = smallImg(*r);
smallImgROI = smallImg( r );
nestedCascade.detectMultiScale( smallImgROI, nestedObjects,
1.1, 2, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
//|CASCADE_DO_CANNY_PRUNING
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
for( vector<Rect>::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++ )
for ( size_t j = 0; j < nestedObjects.size(); j++ )
{
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);
Rect nr = nestedObjects[j];
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 );
imshow( "result", img );
}

110
samples/cpp/smiledetect.cpp
View File

@ -1,15 +1,7 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/videoio/videoio_c.h"
#include "opencv2/highgui/highgui_c.h"
#include <cctype>
#include <iostream>
#include <iterator>
#include <stdio.h>
using namespace std;
using namespace cv;
@ -36,11 +28,10 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
string cascadeName = "../../data/haarcascades/haarcascade_frontalface_alt.xml";
string nestedCascadeName = "../../data/haarcascades/haarcascade_smile.xml";
int main( int argc, const char** argv )
{
CvCapture* capture = 0;
Mat frame, frameCopy, image;
VideoCapture capture;
Mat frame, image;
const string scaleOpt = "--scale=";
size_t scaleOptLen = scaleOpt.length();
const string cascadeOpt = "--cascade=";
@ -104,44 +95,34 @@ int main( int argc, const char** argv )
if( inputName.empty() || (isdigit(inputName.c_str()[0]) && inputName.c_str()[1] == '\0') )
{
capture = cvCaptureFromCAM( inputName.empty() ? 0 : inputName.c_str()[0] - '0' );
int c = inputName.empty() ? 0 : inputName.c_str()[0] - '0' ;
if(!capture) cout << "Capture from CAM " << c << " didn't work" << endl;
if(!capture.open(c))
cout << "Capture from camera #" << c << " didn't work" << endl;
}
else if( inputName.size() )
{
capture = cvCaptureFromAVI( inputName.c_str() );
if(!capture) cout << "Capture from AVI didn't work" << endl;
if(!capture.open( inputName ))
cout << "Could not read " << inputName << endl;
}
cvNamedWindow( "result", 1 );
if( capture )
if( capture.isOpened() )
{
cout << "In capture ..." << endl;
cout << "Video capturing has been started ..." << endl;
cout << endl << "NOTE: Smile intensity will only be valid after a first smile has been detected" << endl;
for(;;)
{
IplImage* iplImg = cvQueryFrame( capture );
frame = cv::cvarrToMat(iplImg);
capture >> frame;
if( frame.empty() )
break;
if( iplImg->origin == IPL_ORIGIN_TL )
frame.copyTo( frameCopy );
else
flip( frame, frameCopy, 0 );
detectAndDraw( frameCopy, cascade, nestedCascade, scale, tryflip );
Mat frame1 = frame.clone();
detectAndDraw( frame1, cascade, nestedCascade, scale, tryflip );
if( waitKey( 10 ) >= 0 )
goto _cleanup_;
int c = waitKey(10);
if( c == 27 || c == 'q' || c == 'Q' )
break;
}
waitKey(0);
_cleanup_:
cvReleaseCapture( &capture );
}
else
{
@ -150,7 +131,6 @@ _cleanup_:
return -1;
}
cvDestroyWindow("result");
return 0;
}
@ -158,28 +138,31 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip)
{
int i = 0;
vector<Rect> faces, faces2;
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 );
const static Scalar colors[] =
{
Scalar(255,0,0),
Scalar(255,128,0),
Scalar(255,255,0),
Scalar(0,255,0),
Scalar(0,128,255),
Scalar(0,255,255),
Scalar(0,0,255),
Scalar(255,0,255)
};
Mat gray, smallImg;
cvtColor( img, gray, COLOR_BGR2GRAY );
resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
double fx = 1 / scale;
resize( gray, smallImg, Size(), fx, fx, INTER_LINEAR );
equalizeHist( smallImg, smallImg );
cascade.detectMultiScale( smallImg, faces,
1.1, 2, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
if( tryflip )
{
@ -188,8 +171,7 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
1.1, 2, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
for( vector<Rect>::const_iterator r = faces2.begin(); r != faces2.end(); r++ )
{
@ -197,38 +179,38 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
}
}
for( vector<Rect>::iterator r = faces.begin(); r != faces.end(); r++, i++ )
for ( size_t i = 0; i < faces.size(); i++ )
{
Rect r = faces[i];
Mat smallImgROI;
vector<Rect> nestedObjects;
Point center;
Scalar color = colors[i%8];
int radius;
double aspect_ratio = (double)r->width/r->height;
double aspect_ratio = (double)r.width/r.height;
if( 0.75 < aspect_ratio && aspect_ratio < 1.3 )
{
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);
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 );
}
else
rectangle( img, cvPoint(cvRound(r->x*scale), cvRound(r->y*scale)),
cvPoint(cvRound((r->x + r->width-1)*scale), cvRound((r->y + r->height-1)*scale)),
rectangle( img, cvPoint(cvRound(r.x*scale), cvRound(r.y*scale)),
cvPoint(cvRound((r.x + r.width-1)*scale), cvRound((r.y + r.height-1)*scale)),
color, 3, 8, 0);
const int half_height=cvRound((float)r->height/2);
r->y=r->y + half_height;
r->height = half_height;
smallImgROI = smallImg(*r);
const int half_height=cvRound((float)r.height/2);
r.y=r.y + half_height;
r.height = half_height-1;
smallImgROI = smallImg( r );
nestedCascade.detectMultiScale( smallImgROI, nestedObjects,
1.1, 0, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
//|CASCADE_DO_CANNY_PRUNING
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
// The number of detected neighbors depends on image size (and also illumination, etc.). The
@ -243,9 +225,9 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
// Draw rectangle on the left side of the image reflecting smile intensity
float intensityZeroOne = ((float)smile_neighbors - min_neighbors) / (max_neighbors - min_neighbors + 1);
int rect_height = cvRound((float)img.rows * intensityZeroOne);
CvScalar col = CV_RGB((float)255 * intensityZeroOne, 0, 0);
Scalar col = Scalar((float)255 * intensityZeroOne, 0, 0);
rectangle(img, cvPoint(0, img.rows), cvPoint(img.cols/10, img.rows - rect_height), col, -1);
}
cv::imshow( "result", img );
imshow( "result", img );
}

86
samples/cpp/ufacedetect.cpp → samples/tapi/ufacedetect.cpp
View File

@ -1,15 +1,8 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/core/ocl.hpp"
#include <cctype>
#include <iostream>
#include <iterator>
#include <stdio.h>
using namespace std;
using namespace cv;
@ -20,13 +13,13 @@ static void help()
"This classifier can recognize many kinds of rigid objects, once the appropriate classifier is trained.\n"
"It's most known use is for faces.\n"
"Usage:\n"
"./facedetect [--cascade=<cascade_path> this is the primary trained classifier such as frontal face]\n"
"./ufacedetect [--cascade=<cascade_path> this is the primary trained classifier such as frontal face]\n"
" [--nested-cascade[=nested_cascade_path this an optional secondary classifier such as eyes]]\n"
" [--scale=<image scale greater or equal to 1, try 1.3 for example>]\n"
" [--try-flip]\n"
" [filename|camera_index]\n\n"
"see facedetect.cmd for one call:\n"
"./facedetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"../../data/haarcascades/haarcascade_eye.xml\" --scale=1.3\n\n"
"./ufacedetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml\" --scale=1.3\n\n"
"During execution:\n\tHit any key to quit.\n"
"\tUsing OpenCV version " << CV_VERSION << "\n" << endl;
}
@ -76,7 +69,7 @@ int main( int argc, const char** argv )
}
else if( scaleOpt.compare( 0, scaleOptLen, argv[i], scaleOptLen ) == 0 )
{
if( !sscanf( argv[i] + scaleOpt.length(), "%lf", &scale ) || scale > 1 )
if( !sscanf( argv[i] + scaleOpt.length(), "%lf", &scale ) )
scale = 1;
cout << " from which we read scale = " << scale << endl;
}
@ -87,7 +80,7 @@ int main( int argc, const char** argv )
}
else if( argv[i][0] == '-' )
{
cerr << "WARNING: Unknown option %s" << argv[i] << endl;
cerr << "WARNING: Unknown option " << argv[i] << endl;
}
else
inputName = argv[i];
@ -120,8 +113,6 @@ int main( int argc, const char** argv )
}
}
namedWindow( "result", 1 );
if( capture.isOpened() )
{
cout << "Video capturing has been started ..." << endl;
@ -133,7 +124,8 @@ int main( int argc, const char** argv )
detectAndDraw( frame, canvas, cascade, nestedCascade, scale, tryflip );
if( waitKey( 10 ) >= 0 )
int c = waitKey(10);
if( c == 27 || c == 'q' || c == 'Q' )
break;
}
}
@ -183,46 +175,44 @@ int main( int argc, const char** argv )
void detectAndDraw( UMat& img, Mat& canvas, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale0, bool tryflip )
double scale, bool tryflip )
{
int i = 0;
double t = 0, scale=1;
double t = 0;
vector<Rect> faces, faces2;
const static Scalar colors[] =
{
Scalar(0,0,255),
Scalar(0,128,255),
Scalar(0,255,255),
Scalar(0,255,0),
Scalar(255,0,0),
Scalar(255,128,0),
Scalar(255,255,0),
Scalar(255,0,0),
Scalar(0,255,0),
Scalar(0,128,255),
Scalar(0,255,255),
Scalar(0,0,255),
Scalar(255,0,255)
};
static UMat gray, smallImg;
t = (double)getTickCount();
resize( img, smallImg, Size(), scale0, scale0, INTER_LINEAR );
cvtColor( smallImg, gray, COLOR_BGR2GRAY );
equalizeHist( gray, gray );
cvtColor( img, gray, COLOR_BGR2GRAY );
double fx = 1 / scale;
resize( gray, smallImg, Size(), fx, fx, INTER_LINEAR );
equalizeHist( smallImg, smallImg );
cascade.detectMultiScale( gray, faces,
cascade.detectMultiScale( smallImg, faces,
1.1, 3, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
if( tryflip )
{
flip(gray, gray, 1);
cascade.detectMultiScale( gray, faces2,
flip(smallImg, smallImg, 1);
cascade.detectMultiScale( smallImg, faces2,
1.1, 2, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
for( vector<Rect>::const_iterator r = faces2.begin(); r != faces2.end(); r++ )
{
@ -230,7 +220,7 @@ void detectAndDraw( UMat& img, Mat& canvas, CascadeClassifier& cascade,
}
}
t = (double)getTickCount() - t;
smallImg.copyTo(canvas);
img.copyTo(canvas);
double fps = getTickFrequency()/t;
static double avgfps = 0;
@ -242,41 +232,43 @@ void detectAndDraw( UMat& img, Mat& canvas, CascadeClassifier& cascade,
putText(canvas, format("OpenCL: %s, fps: %.1f", ocl::useOpenCL() ? "ON" : "OFF", avgfps), Point(50, 30),
FONT_HERSHEY_SIMPLEX, 0.8, Scalar(0,255,0), 2);
for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
for ( size_t i = 0; i < faces.size(); i++ )
{
Rect r = faces[i];
vector<Rect> nestedObjects;
Point center;
Scalar color = colors[i%8];
int radius;
double aspect_ratio = (double)r->width/r->height;
double aspect_ratio = (double)r.width/r.height;
if( 0.75 < aspect_ratio && aspect_ratio < 1.3 )
{
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);
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( canvas, center, radius, color, 3, 8, 0 );
}
else
rectangle( canvas, Point(cvRound(r->x*scale), cvRound(r->y*scale)),
Point(cvRound((r->x + r->width-1)*scale), cvRound((r->y + r->height-1)*scale)),
rectangle( canvas, Point(cvRound(r.x*scale), cvRound(r.y*scale)),
Point(cvRound((r.x + r.width-1)*scale), cvRound((r.y + r.height-1)*scale)),
color, 3, 8, 0);
if( nestedCascade.empty() )
continue;
UMat smallImgROI = gray(*r);
UMat smallImgROI = smallImg(r);
nestedCascade.detectMultiScale( smallImgROI, nestedObjects,
1.1, 2, 0
//|CASCADE_FIND_BIGGEST_OBJECT
//|CASCADE_DO_ROUGH_SEARCH
//|CASCADE_DO_CANNY_PRUNING
|CASCADE_SCALE_IMAGE
,
|CASCADE_SCALE_IMAGE,
Size(30, 30) );
for( vector<Rect>::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++ )
for ( size_t j = 0; j < nestedObjects.size(); j++ )
{
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);
Rect nr = nestedObjects[j];
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( canvas, center, radius, color, 3, 8, 0 );
}
}