342 lines
11 KiB
C++
342 lines
11 KiB
C++
/*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
|
|
// any express or implied warranties, including, but not limited to, the implied
|
|
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
|
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
|
// 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_SubdivTest : public cvtest::BaseTest
|
|
{
|
|
public:
|
|
CV_SubdivTest();
|
|
~CV_SubdivTest();
|
|
void clear();
|
|
|
|
protected:
|
|
int read_params( CvFileStorage* fs );
|
|
int prepare_test_case( int test_case_idx );
|
|
int validate_test_results( int test_case_idx );
|
|
void run_func();
|
|
|
|
int min_log_img_size, max_log_img_size;
|
|
CvSize img_size;
|
|
int min_log_point_count;
|
|
int max_log_point_count;
|
|
int point_count;
|
|
CvSubdiv2D* subdiv;
|
|
CvMemStorage* storage;
|
|
};
|
|
|
|
|
|
CV_SubdivTest::CV_SubdivTest()
|
|
{
|
|
test_case_count = 100;
|
|
min_log_point_count = 1;
|
|
max_log_point_count = 10;
|
|
min_log_img_size = 1;
|
|
max_log_img_size = 10;
|
|
|
|
storage = 0;
|
|
}
|
|
|
|
|
|
CV_SubdivTest::~CV_SubdivTest()
|
|
{
|
|
clear();
|
|
}
|
|
|
|
|
|
void CV_SubdivTest::clear()
|
|
{
|
|
cvtest::BaseTest::clear();
|
|
cvReleaseMemStorage( &storage );
|
|
}
|
|
|
|
|
|
int CV_SubdivTest::read_params( CvFileStorage* fs )
|
|
{
|
|
int code = cvtest::BaseTest::read_params( fs );
|
|
int t;
|
|
|
|
if( code < 0 )
|
|
return code;
|
|
|
|
test_case_count = cvReadInt( find_param( fs, "test_case_count" ), test_case_count );
|
|
min_log_point_count = cvReadInt( find_param( fs, "min_log_point_count" ), min_log_point_count );
|
|
max_log_point_count = cvReadInt( find_param( fs, "max_log_point_count" ), max_log_point_count );
|
|
min_log_img_size = cvReadInt( find_param( fs, "min_log_img_size" ), min_log_img_size );
|
|
max_log_img_size = cvReadInt( find_param( fs, "max_log_img_size" ), max_log_img_size );
|
|
|
|
min_log_point_count = cvtest::clipInt( min_log_point_count, 1, 10 );
|
|
max_log_point_count = cvtest::clipInt( max_log_point_count, 1, 10 );
|
|
if( min_log_point_count > max_log_point_count )
|
|
CV_SWAP( min_log_point_count, max_log_point_count, t );
|
|
|
|
min_log_img_size = cvtest::clipInt( min_log_img_size, 1, 10 );
|
|
max_log_img_size = cvtest::clipInt( max_log_img_size, 1, 10 );
|
|
if( min_log_img_size > max_log_img_size )
|
|
CV_SWAP( min_log_img_size, max_log_img_size, t );
|
|
|
|
return 0;
|
|
}
|
|
|
|
|
|
int CV_SubdivTest::prepare_test_case( int test_case_idx )
|
|
{
|
|
RNG& rng = ts->get_rng();
|
|
int code = cvtest::BaseTest::prepare_test_case( test_case_idx );
|
|
if( code < 0 )
|
|
return code;
|
|
|
|
clear();
|
|
|
|
point_count = cvRound(exp((cvtest::randReal(rng)*
|
|
(max_log_point_count - min_log_point_count) + min_log_point_count)*CV_LOG2));
|
|
img_size.width = cvRound(exp((cvtest::randReal(rng)*
|
|
(max_log_img_size - min_log_img_size) + min_log_img_size)*CV_LOG2));
|
|
img_size.height = cvRound(exp((cvtest::randReal(rng)*
|
|
(max_log_img_size - min_log_img_size) + min_log_img_size)*CV_LOG2));
|
|
|
|
storage = cvCreateMemStorage( 1 << 10 );
|
|
return 1;
|
|
}
|
|
|
|
|
|
void CV_SubdivTest::run_func()
|
|
{
|
|
}
|
|
|
|
|
|
static inline double sqdist( CvPoint2D32f pt1, CvPoint2D32f pt2 )
|
|
{
|
|
double dx = pt1.x - pt2.x;
|
|
double dy = pt1.y - pt2.y;
|
|
|
|
return dx*dx + dy*dy;
|
|
}
|
|
|
|
|
|
static int
|
|
subdiv2DCheck( CvSubdiv2D* subdiv )
|
|
{
|
|
int i, j, total = subdiv->edges->total;
|
|
CV_Assert( subdiv != 0 );
|
|
|
|
for( i = 0; i < total; i++ )
|
|
{
|
|
CvQuadEdge2D* edge = (CvQuadEdge2D*)cvGetSetElem(subdiv->edges,i);
|
|
|
|
if( edge && CV_IS_SET_ELEM( edge ))
|
|
{
|
|
for( j = 0; j < 4; j++ )
|
|
{
|
|
CvSubdiv2DEdge e = (CvSubdiv2DEdge)edge + j;
|
|
CvSubdiv2DEdge o_next = cvSubdiv2DNextEdge(e);
|
|
CvSubdiv2DEdge o_prev = cvSubdiv2DGetEdge(e, CV_PREV_AROUND_ORG );
|
|
CvSubdiv2DEdge d_prev = cvSubdiv2DGetEdge(e, CV_PREV_AROUND_DST );
|
|
CvSubdiv2DEdge d_next = cvSubdiv2DGetEdge(e, CV_NEXT_AROUND_DST );
|
|
|
|
// check points
|
|
if( cvSubdiv2DEdgeOrg(e) != cvSubdiv2DEdgeOrg(o_next))
|
|
return 0;
|
|
if( cvSubdiv2DEdgeOrg(e) != cvSubdiv2DEdgeOrg(o_prev))
|
|
return 0;
|
|
if( cvSubdiv2DEdgeDst(e) != cvSubdiv2DEdgeDst(d_next))
|
|
return 0;
|
|
if( cvSubdiv2DEdgeDst(e) != cvSubdiv2DEdgeDst(d_prev))
|
|
return 0;
|
|
if( j % 2 == 0 )
|
|
{
|
|
if( cvSubdiv2DEdgeDst(o_next) != cvSubdiv2DEdgeOrg(d_prev))
|
|
return 0;
|
|
if( cvSubdiv2DEdgeDst(o_prev) != cvSubdiv2DEdgeOrg(d_next))
|
|
return 0;
|
|
if( cvSubdiv2DGetEdge(cvSubdiv2DGetEdge(cvSubdiv2DGetEdge(
|
|
e,CV_NEXT_AROUND_LEFT),CV_NEXT_AROUND_LEFT),CV_NEXT_AROUND_LEFT) != e )
|
|
return 0;
|
|
if( cvSubdiv2DGetEdge(cvSubdiv2DGetEdge(cvSubdiv2DGetEdge(
|
|
e,CV_NEXT_AROUND_RIGHT),CV_NEXT_AROUND_RIGHT),CV_NEXT_AROUND_RIGHT) != e)
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
|
|
// the whole testing is done here, run_func() is not utilized in this test
|
|
int CV_SubdivTest::validate_test_results( int /*test_case_idx*/ )
|
|
{
|
|
int code = cvtest::TS::OK;
|
|
RNG& rng = ts->get_rng();
|
|
int j, k, real_count = point_count;
|
|
double xrange = img_size.width*(1 - FLT_EPSILON);
|
|
double yrange = img_size.height*(1 - FLT_EPSILON);
|
|
|
|
subdiv = subdiv = cvCreateSubdivDelaunay2D(
|
|
cvRect( 0, 0, img_size.width, img_size.height ), storage );
|
|
|
|
CvSeq* seq = cvCreateSeq( 0, sizeof(*seq), sizeof(CvPoint2D32f), storage );
|
|
CvSeqWriter writer;
|
|
cvStartAppendToSeq( seq, &writer );
|
|
|
|
// insert random points
|
|
for( j = 0; j < point_count; j++ )
|
|
{
|
|
CvPoint2D32f pt;
|
|
CvSubdiv2DPoint* point;
|
|
|
|
pt.x = (float)(cvtest::randReal(rng)*xrange);
|
|
pt.y = (float)(cvtest::randReal(rng)*yrange);
|
|
|
|
CvSubdiv2DPointLocation loc =
|
|
cvSubdiv2DLocate( subdiv, pt, 0, &point );
|
|
|
|
if( loc == CV_PTLOC_VERTEX )
|
|
{
|
|
int index = cvSeqElemIdx( (CvSeq*)subdiv, point );
|
|
CvPoint2D32f* pt1;
|
|
cvFlushSeqWriter( &writer );
|
|
pt1 = (CvPoint2D32f*)cvGetSeqElem( seq, index - 3 );
|
|
|
|
if( !pt1 ||
|
|
fabs(pt1->x - pt.x) > FLT_EPSILON ||
|
|
fabs(pt1->y - pt.y) > FLT_EPSILON )
|
|
{
|
|
ts->printf( cvtest::TS::LOG, "The point #%d: (%.1f,%.1f) is said to coinside with a subdivision vertex, "
|
|
"however it could be found in a sequence of inserted points\n", j, pt.x, pt.y );
|
|
code = cvtest::TS::FAIL_INVALID_OUTPUT;
|
|
goto _exit_;
|
|
}
|
|
real_count--;
|
|
}
|
|
|
|
point = cvSubdivDelaunay2DInsert( subdiv, pt );
|
|
if( point->pt.x != pt.x || point->pt.y != pt.y )
|
|
{
|
|
ts->printf( cvtest::TS::LOG, "The point #%d: (%.1f,%.1f) has been incorrectly added\n", j, pt.x, pt.y );
|
|
code = cvtest::TS::FAIL_INVALID_OUTPUT;
|
|
goto _exit_;
|
|
}
|
|
|
|
if( (j + 1) % 10 == 0 || j == point_count - 1 )
|
|
{
|
|
if( !subdiv2DCheck( subdiv ))
|
|
{
|
|
ts->printf( cvtest::TS::LOG, "Subdivision consistency check failed after inserting the point #%d\n", j );
|
|
code = cvtest::TS::FAIL_INVALID_OUTPUT;
|
|
goto _exit_;
|
|
}
|
|
}
|
|
|
|
if( loc != CV_PTLOC_VERTEX )
|
|
{
|
|
CV_WRITE_SEQ_ELEM( pt, writer );
|
|
}
|
|
}
|
|
|
|
if( code < 0 )
|
|
goto _exit_;
|
|
|
|
cvCalcSubdivVoronoi2D( subdiv );
|
|
seq = cvEndWriteSeq( &writer );
|
|
|
|
if( !subdiv2DCheck( subdiv ))
|
|
{
|
|
ts->printf( cvtest::TS::LOG, "The subdivision failed consistency check after building the Voronoi tesselation\n" );
|
|
code = cvtest::TS::FAIL_INVALID_OUTPUT;
|
|
goto _exit_;
|
|
}
|
|
|
|
for( j = 0; j < MAX((point_count - 5)/10 + 5, 10); j++ )
|
|
{
|
|
CvPoint2D32f pt;
|
|
double minDistance;
|
|
|
|
pt.x = (float)(cvtest::randReal(rng)*xrange);
|
|
pt.y = (float)(cvtest::randReal(rng)*yrange);
|
|
|
|
CvSubdiv2DPoint* point = cvFindNearestPoint2D( subdiv, pt );
|
|
CvSeqReader reader;
|
|
|
|
if( !point )
|
|
{
|
|
ts->printf( cvtest::TS::LOG, "There is no nearest point (?!) for the point (%.1f, %.1f) in the subdivision\n",
|
|
pt.x, pt.y );
|
|
code = cvtest::TS::FAIL_INVALID_OUTPUT;
|
|
goto _exit_;
|
|
}
|
|
|
|
cvStartReadSeq( seq, &reader );
|
|
minDistance = sqdist( pt, point->pt );
|
|
|
|
for( k = 0; k < seq->total; k++ )
|
|
{
|
|
CvPoint2D32f ptt;
|
|
CV_READ_SEQ_ELEM( ptt, reader );
|
|
|
|
double distance = sqdist( pt, ptt );
|
|
if( minDistance > distance && sqdist(ptt, point->pt) > FLT_EPSILON*1000 )
|
|
{
|
|
ts->printf( cvtest::TS::LOG, "The triangulation vertex (%.3f,%.3f) was said to be nearest to (%.3f,%.3f),\n"
|
|
"whereas another vertex (%.3f,%.3f) is closer\n",
|
|
point->pt.x, point->pt.y, pt.x, pt.y, ptt.x, ptt.y );
|
|
code = cvtest::TS::FAIL_BAD_ACCURACY;
|
|
goto _exit_;
|
|
}
|
|
}
|
|
}
|
|
|
|
_exit_:
|
|
if( code < 0 )
|
|
ts->set_failed_test_info( code );
|
|
|
|
return code;
|
|
}
|
|
|
|
TEST(Imgproc_Subdiv, correctness) { CV_SubdivTest test; test.safe_run(); }
|
|
|
|
/* End of file. */
|
|
|