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opencv/modules/video/test/test_camshift.cpp
OpenCV Buildbot 81f826db2b Normalize line endings and whitespace
2012-10-17 15:57:49 +04:00

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
using namespace cv;
using namespace std;
class CV_TrackBaseTest : public cvtest::BaseTest
{
public:
CV_TrackBaseTest();
virtual ~CV_TrackBaseTest();
void clear();
protected:
int read_params( CvFileStorage* fs );
void run_func(void);
int prepare_test_case( int test_case_idx );
int validate_test_results( int test_case_idx );
void generate_object();
int min_log_size, max_log_size;
CvMat* img;
CvBox2D box0;
CvSize img_size;
CvTermCriteria criteria;
int img_type;
};
CV_TrackBaseTest::CV_TrackBaseTest()
{
img = 0;
test_case_count = 100;
min_log_size = 5;
max_log_size = 8;
}
CV_TrackBaseTest::~CV_TrackBaseTest()
{
clear();
}
void CV_TrackBaseTest::clear()
{
cvReleaseMat( &img );
cvtest::BaseTest::clear();
}
int CV_TrackBaseTest::read_params( CvFileStorage* fs )
{
int code = cvtest::BaseTest::read_params( fs );
if( code < 0 )
return code;
test_case_count = cvReadInt( find_param( fs, "test_case_count" ), test_case_count );
min_log_size = cvReadInt( find_param( fs, "min_log_size" ), min_log_size );
max_log_size = cvReadInt( find_param( fs, "max_log_size" ), max_log_size );
min_log_size = cvtest::clipInt( min_log_size, 1, 10 );
max_log_size = cvtest::clipInt( max_log_size, 1, 10 );
if( min_log_size > max_log_size )
{
int t;
CV_SWAP( min_log_size, max_log_size, t );
}
return 0;
}
void CV_TrackBaseTest::generate_object()
{
int x, y;
double cx = box0.center.x;
double cy = box0.center.y;
double width = box0.size.width*0.5;
double height = box0.size.height*0.5;
double angle = box0.angle*CV_PI/180.;
double a = sin(angle), b = -cos(angle);
double inv_ww = 1./(width*width), inv_hh = 1./(height*height);
img = cvCreateMat( img_size.height, img_size.width, img_type );
cvZero( img );
// use the straightforward algorithm: for every pixel check if it is inside the ellipse
for( y = 0; y < img_size.height; y++ )
{
uchar* ptr = img->data.ptr + img->step*y;
float* fl = (float*)ptr;
double x_ = (y - cy)*b, y_ = (y - cy)*a;
for( x = 0; x < img_size.width; x++ )
{
double x1 = (x - cx)*a - x_;
double y1 = (x - cx)*b + y_;
if( x1*x1*inv_hh + y1*y1*inv_ww <= 1. )
{
if( img_type == CV_8U )
ptr[x] = (uchar)1;
else
fl[x] = (float)1.f;
}
}
}
}
int CV_TrackBaseTest::prepare_test_case( int test_case_idx )
{
RNG& rng = ts->get_rng();
cvtest::BaseTest::prepare_test_case( test_case_idx );
float m;
clear();
box0.size.width = (float)exp((cvtest::randReal(rng) * (max_log_size - min_log_size) + min_log_size)*CV_LOG2);
box0.size.height = (float)exp((cvtest::randReal(rng) * (max_log_size - min_log_size) + min_log_size)*CV_LOG2);
box0.angle = (float)(cvtest::randReal(rng)*180.);
if( box0.size.width > box0.size.height )
{
float t;
CV_SWAP( box0.size.width, box0.size.height, t );
}
m = MAX( box0.size.width, box0.size.height );
img_size.width = cvRound(cvtest::randReal(rng)*m*0.5 + m + 1);
img_size.height = cvRound(cvtest::randReal(rng)*m*0.5 + m + 1);
img_type = cvtest::randInt(rng) % 2 ? CV_32F : CV_8U;
img_type = CV_8U;
box0.center.x = (float)(img_size.width*0.5 + (cvtest::randReal(rng)-0.5)*(img_size.width - m));
box0.center.y = (float)(img_size.height*0.5 + (cvtest::randReal(rng)-0.5)*(img_size.height - m));
criteria = cvTermCriteria( CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 10, 0.1 );
generate_object();
return 1;
}
void CV_TrackBaseTest::run_func(void)
{
}
int CV_TrackBaseTest::validate_test_results( int /*test_case_idx*/ )
{
return 0;
}
///////////////////////// CamShift //////////////////////////////
class CV_CamShiftTest : public CV_TrackBaseTest
{
public:
CV_CamShiftTest();
protected:
void run_func(void);
int prepare_test_case( int test_case_idx );
int validate_test_results( int test_case_idx );
void generate_object();
CvBox2D box;
CvRect init_rect;
CvConnectedComp comp;
int area0;
};
CV_CamShiftTest::CV_CamShiftTest()
{
}
int CV_CamShiftTest::prepare_test_case( int test_case_idx )
{
RNG& rng = ts->get_rng();
double m;
int code = CV_TrackBaseTest::prepare_test_case( test_case_idx );
int i, area;
if( code <= 0 )
return code;
area0 = cvCountNonZero(img);
for(i = 0; i < 100; i++)
{
CvMat temp;
m = MAX(box0.size.width,box0.size.height)*0.8;
init_rect.x = cvFloor(box0.center.x - m*(0.45 + cvtest::randReal(rng)*0.2));
init_rect.y = cvFloor(box0.center.y - m*(0.45 + cvtest::randReal(rng)*0.2));
init_rect.width = cvCeil(box0.center.x + m*(0.45 + cvtest::randReal(rng)*0.2) - init_rect.x);
init_rect.height = cvCeil(box0.center.y + m*(0.45 + cvtest::randReal(rng)*0.2) - init_rect.y);
if( init_rect.x < 0 || init_rect.y < 0 ||
init_rect.x + init_rect.width >= img_size.width ||
init_rect.y + init_rect.height >= img_size.height )
continue;
cvGetSubRect( img, &temp, init_rect );
area = cvCountNonZero( &temp );
if( area >= 0.1*area0 )
break;
}
return i < 100 ? code : 0;
}
void CV_CamShiftTest::run_func(void)
{
cvCamShift( img, init_rect, criteria, &comp, &box );
}
int CV_CamShiftTest::validate_test_results( int /*test_case_idx*/ )
{
int code = cvtest::TS::OK;
double m = MAX(box0.size.width, box0.size.height), delta;
double diff_angle;
if( cvIsNaN(box.size.width) || cvIsInf(box.size.width) || box.size.width <= 0 ||
cvIsNaN(box.size.height) || cvIsInf(box.size.height) || box.size.height <= 0 ||
cvIsNaN(box.center.x) || cvIsInf(box.center.x) ||
cvIsNaN(box.center.y) || cvIsInf(box.center.y) ||
cvIsNaN(box.angle) || cvIsInf(box.angle) || box.angle < -180 || box.angle > 180 ||
cvIsNaN(comp.area) || cvIsInf(comp.area) || comp.area <= 0 )
{
ts->printf( cvtest::TS::LOG, "Invalid CvBox2D or CvConnectedComp was returned by cvCamShift\n" );
code = cvtest::TS::FAIL_INVALID_OUTPUT;
goto _exit_;
}
box.angle = (float)(180 - box.angle);
if( fabs(box.size.width - box0.size.width) > box0.size.width*0.2 ||
fabs(box.size.height - box0.size.height) > box0.size.height*0.3 )
{
ts->printf( cvtest::TS::LOG, "Incorrect CvBox2D size (=%.1f x %.1f, should be %.1f x %.1f)\n",
box.size.width, box.size.height, box0.size.width, box0.size.height );
code = cvtest::TS::FAIL_BAD_ACCURACY;
goto _exit_;
}
if( fabs(box.center.x - box0.center.x) > m*0.1 ||
fabs(box.center.y - box0.center.y) > m*0.1 )
{
ts->printf( cvtest::TS::LOG, "Incorrect CvBox2D position (=(%.1f, %.1f), should be (%.1f, %.1f))\n",
box.center.x, box.center.y, box0.center.x, box0.center.y );
code = cvtest::TS::FAIL_BAD_ACCURACY;
goto _exit_;
}
if( box.angle < 0 )
box.angle += 180;
diff_angle = fabs(box0.angle - box.angle);
diff_angle = MIN( diff_angle, fabs(box0.angle - box.angle + 180));
if( fabs(diff_angle) > 30 && box0.size.height > box0.size.width*1.2 )
{
ts->printf( cvtest::TS::LOG, "Incorrect CvBox2D angle (=%1.f, should be %1.f)\n",
box.angle, box0.angle );
code = cvtest::TS::FAIL_BAD_ACCURACY;
goto _exit_;
}
delta = m*0.7;
if( comp.rect.x < box0.center.x - delta ||
comp.rect.y < box0.center.y - delta ||
comp.rect.x + comp.rect.width > box0.center.x + delta ||
comp.rect.y + comp.rect.height > box0.center.y + delta )
{
ts->printf( cvtest::TS::LOG,
"Incorrect CvConnectedComp ((%d,%d,%d,%d) is not within (%.1f,%.1f,%.1f,%.1f))\n",
comp.rect.x, comp.rect.y, comp.rect.x + comp.rect.width, comp.rect.y + comp.rect.height,
box0.center.x - delta, box0.center.y - delta, box0.center.x + delta, box0.center.y + delta );
code = cvtest::TS::FAIL_BAD_ACCURACY;
goto _exit_;
}
if( fabs(comp.area - area0) > area0*0.15 )
{
ts->printf( cvtest::TS::LOG,
"Incorrect CvConnectedComp area (=%.1f, should be %d)\n", comp.area, area0 );
code = cvtest::TS::FAIL_BAD_ACCURACY;
goto _exit_;
}
_exit_:
if( code < 0 )
{
#if defined _DEBUG && defined WIN32
IplImage* dst = cvCreateImage( img_size, 8, 3 );
cvNamedWindow( "test", 1 );
cvCmpS( img, 0, img, CV_CMP_GT );
cvCvtColor( img, dst, CV_GRAY2BGR );
cvRectangle( dst, cvPoint(init_rect.x, init_rect.y),
cvPoint(init_rect.x + init_rect.width, init_rect.y + init_rect.height),
CV_RGB(255,0,0), 3, 8, 0 );
cvEllipseBox( dst, box, CV_RGB(0,255,0), 3, 8, 0 );
cvShowImage( "test", dst );
cvReleaseImage( &dst );
cvWaitKey();
#endif
ts->set_failed_test_info( code );
}
return code;
}
///////////////////////// MeanShift //////////////////////////////
class CV_MeanShiftTest : public CV_TrackBaseTest
{
public:
CV_MeanShiftTest();
protected:
void run_func(void);
int prepare_test_case( int test_case_idx );
int validate_test_results( int test_case_idx );
void generate_object();
CvRect init_rect;
CvConnectedComp comp;
int area0, area;
};
CV_MeanShiftTest::CV_MeanShiftTest()
{
}
int CV_MeanShiftTest::prepare_test_case( int test_case_idx )
{
RNG& rng = ts->get_rng();
double m;
int code = CV_TrackBaseTest::prepare_test_case( test_case_idx );
int i;
if( code <= 0 )
return code;
area0 = cvCountNonZero(img);
for(i = 0; i < 100; i++)
{
CvMat temp;
m = (box0.size.width + box0.size.height)*0.5;
init_rect.x = cvFloor(box0.center.x - m*(0.4 + cvtest::randReal(rng)*0.2));
init_rect.y = cvFloor(box0.center.y - m*(0.4 + cvtest::randReal(rng)*0.2));
init_rect.width = cvCeil(box0.center.x + m*(0.4 + cvtest::randReal(rng)*0.2) - init_rect.x);
init_rect.height = cvCeil(box0.center.y + m*(0.4 + cvtest::randReal(rng)*0.2) - init_rect.y);
if( init_rect.x < 0 || init_rect.y < 0 ||
init_rect.x + init_rect.width >= img_size.width ||
init_rect.y + init_rect.height >= img_size.height )
continue;
cvGetSubRect( img, &temp, init_rect );
area = cvCountNonZero( &temp );
if( area >= 0.5*area0 )
break;
}
return i < 100 ? code : 0;
}
void CV_MeanShiftTest::run_func(void)
{
cvMeanShift( img, init_rect, criteria, &comp );
}
int CV_MeanShiftTest::validate_test_results( int /*test_case_idx*/ )
{
int code = cvtest::TS::OK;
CvPoint2D32f c;
double m = MAX(box0.size.width, box0.size.height), delta;
if( cvIsNaN(comp.area) || cvIsInf(comp.area) || comp.area <= 0 )
{
ts->printf( cvtest::TS::LOG, "Invalid CvConnectedComp was returned by cvMeanShift\n" );
code = cvtest::TS::FAIL_INVALID_OUTPUT;
goto _exit_;
}
c.x = (float)(comp.rect.x + comp.rect.width*0.5);
c.y = (float)(comp.rect.y + comp.rect.height*0.5);
if( fabs(c.x - box0.center.x) > m*0.1 ||
fabs(c.y - box0.center.y) > m*0.1 )
{
ts->printf( cvtest::TS::LOG, "Incorrect CvBox2D position (=(%.1f, %.1f), should be (%.1f, %.1f))\n",
c.x, c.y, box0.center.x, box0.center.y );
code = cvtest::TS::FAIL_BAD_ACCURACY;
goto _exit_;
}
delta = m*0.7;
if( comp.rect.x < box0.center.x - delta ||
comp.rect.y < box0.center.y - delta ||
comp.rect.x + comp.rect.width > box0.center.x + delta ||
comp.rect.y + comp.rect.height > box0.center.y + delta )
{
ts->printf( cvtest::TS::LOG,
"Incorrect CvConnectedComp ((%d,%d,%d,%d) is not within (%.1f,%.1f,%.1f,%.1f))\n",
comp.rect.x, comp.rect.y, comp.rect.x + comp.rect.width, comp.rect.y + comp.rect.height,
box0.center.x - delta, box0.center.y - delta, box0.center.x + delta, box0.center.y + delta );
code = cvtest::TS::FAIL_BAD_ACCURACY;
goto _exit_;
}
if( fabs((double)(comp.area - area0)) > fabs((double)(area - area0)) + area0*0.05 )
{
ts->printf( cvtest::TS::LOG,
"Incorrect CvConnectedComp area (=%.1f, should be %d)\n", comp.area, area0 );
code = cvtest::TS::FAIL_BAD_ACCURACY;
goto _exit_;
}
_exit_:
if( code < 0 )
{
#if defined _DEBUG && defined WIN32
IplImage* dst = cvCreateImage( img_size, 8, 3 );
cvNamedWindow( "test", 1 );
cvCmpS( img, 0, img, CV_CMP_GT );
cvCvtColor( img, dst, CV_GRAY2BGR );
cvRectangle( dst, cvPoint(init_rect.x, init_rect.y),
cvPoint(init_rect.x + init_rect.width, init_rect.y + init_rect.height),
CV_RGB(255,0,0), 3, 8, 0 );
cvRectangle( dst, cvPoint(comp.rect.x, comp.rect.y),
cvPoint(comp.rect.x + comp.rect.width, comp.rect.y + comp.rect.height),
CV_RGB(0,255,0), 3, 8, 0 );
cvShowImage( "test", dst );
cvReleaseImage( &dst );
cvWaitKey();
#endif
ts->set_failed_test_info( code );
}
return code;
}
TEST(Video_CAMShift, accuracy) { CV_CamShiftTest test; test.safe_run(); }
TEST(Video_MeanShift, accuracy) { CV_MeanShiftTest test; test.safe_run(); }
/* End of file. */
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