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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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//
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// TODO!!!:
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// check_slice (and/or check) seem(s) to be broken, or this is a bug in function
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// (or its inability to handle possible self-intersections in the generated contours).
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//
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// At least, if // return TotalErrors;
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// is uncommented in check_slice, the test fails easily.
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// So, now (and it looks like since 0.9.6)
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// we only check that the set of vertices of the approximated polygon is
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// a subset of vertices of the original contour.
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//
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class CV_ApproxPolyTest : public cvtest::BaseTest
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{
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public:
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CV_ApproxPolyTest();
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~CV_ApproxPolyTest();
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void clear();
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//int write_default_params(CvFileStorage* fs);
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protected:
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//int read_params( const cv::FileStorage& fs );
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int check_slice( CvPoint StartPt, CvPoint EndPt,
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CvSeqReader* SrcReader, float Eps,
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int* j, int Count );
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int check( CvSeq* SrcSeq, CvSeq* DstSeq, float Eps );
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bool get_contour( int /*type*/, CvSeq** Seq, int* d,
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CvMemStorage* storage );
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void run(int);
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};
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CV_ApproxPolyTest::CV_ApproxPolyTest()
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{
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}
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CV_ApproxPolyTest::~CV_ApproxPolyTest()
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{
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clear();
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}
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void CV_ApproxPolyTest::clear()
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{
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cvtest::BaseTest::clear();
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}
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/*int CV_ApproxPolyTest::write_default_params( CvFileStorage* fs )
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{
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cvtest::BaseTest::write_default_params( fs );
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if( ts->get_testing_mode() != cvtest::TS::TIMING_MODE )
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{
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write_param( fs, "test_case_count", test_case_count );
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}
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return 0;
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}
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int CV_ApproxPolyTest::read_params( const cv::FileStorage& fs )
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{
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int code = cvtest::BaseTest::read_params( fs );
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if( code < 0 )
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return code;
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test_case_count = cvReadInt( find_param( fs, "test_case_count" ), test_case_count );
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min_log_size = cvtest::clipInt( min_log_size, 1, 10 );
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return 0;
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}*/
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bool CV_ApproxPolyTest::get_contour( int /*type*/, CvSeq** Seq, int* d,
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CvMemStorage* storage )
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{
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RNG& rng = ts->get_rng();
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int max_x = INT_MIN, max_y = INT_MIN, min_x = INT_MAX, min_y = INT_MAX;
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int i;
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CvSeq* seq;
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int total = cvtest::randInt(rng) % 1000 + 1;
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Point center;
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int radius, angle;
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double deg_to_rad = CV_PI/180.;
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Point pt;
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center.x = cvtest::randInt( rng ) % 1000;
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center.y = cvtest::randInt( rng ) % 1000;
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radius = cvtest::randInt( rng ) % 1000;
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angle = cvtest::randInt( rng ) % 360;
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seq = cvCreateSeq( CV_SEQ_POLYGON, sizeof(CvContour), sizeof(CvPoint), storage );
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for( i = 0; i < total; i++ )
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{
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int d_radius = cvtest::randInt( rng ) % 10 - 5;
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int d_angle = 360/total;//cvtest::randInt( rng ) % 10 - 5;
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pt.x = cvRound( center.x + radius*cos(angle*deg_to_rad));
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pt.y = cvRound( center.x - radius*sin(angle*deg_to_rad));
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radius += d_radius;
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angle += d_angle;
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cvSeqPush( seq, &pt );
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max_x = MAX( max_x, pt.x );
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max_y = MAX( max_y, pt.y );
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min_x = MIN( min_x, pt.x );
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min_y = MIN( min_y, pt.y );
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}
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*d = (max_x - min_x)*(max_x - min_x) + (max_y - min_y)*(max_y - min_y);
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*Seq = seq;
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return true;
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}
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int CV_ApproxPolyTest::check_slice( CvPoint StartPt, CvPoint EndPt,
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CvSeqReader* SrcReader, float Eps,
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int* _j, int Count )
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{
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///////////
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Point Pt;
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///////////
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bool flag;
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double dy,dx;
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double A,B,C;
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double Sq;
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double sin_a = 0;
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double cos_a = 0;
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double d = 0;
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double dist;
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///////////
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int j, TotalErrors = 0;
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////////////////////////////////
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if( SrcReader == NULL )
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{
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assert( false );
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return 0;
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}
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///////// init line ////////////
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flag = true;
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dx = (double)StartPt.x - (double)EndPt.x;
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dy = (double)StartPt.y - (double)EndPt.y;
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if( ( dx == 0 ) && ( dy == 0 ) ) flag = false;
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else
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{
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A = -dy;
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B = dx;
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C = dy * (double)StartPt.x - dx * (double)StartPt.y;
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Sq = sqrt( A*A + B*B );
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sin_a = B/Sq;
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cos_a = A/Sq;
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d = C/Sq;
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}
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/////// find start point and check distance ////////
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for( j = *_j; j < Count; j++ )
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{
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{ CvPoint pt_ = CV_STRUCT_INITIALIZER; CV_READ_SEQ_ELEM(pt_, *SrcReader); Pt = pt_; }
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if( StartPt.x == Pt.x && StartPt.y == Pt.y ) break;
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else
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{
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if( flag ) dist = sin_a * Pt.y + cos_a * Pt.x - d;
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else dist = sqrt( (double)(EndPt.y - Pt.y)*(EndPt.y - Pt.y) + (EndPt.x - Pt.x)*(EndPt.x - Pt.x) );
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if( dist > Eps ) TotalErrors++;
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}
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}
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*_j = j;
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//return TotalErrors;
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return 0;
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}
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int CV_ApproxPolyTest::check( CvSeq* SrcSeq, CvSeq* DstSeq, float Eps )
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{
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//////////
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CvSeqReader DstReader;
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CvSeqReader SrcReader;
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CvPoint StartPt = {0, 0}, EndPt = {0, 0};
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///////////
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int TotalErrors = 0;
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///////////
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int Count;
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int i,j;
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assert( SrcSeq && DstSeq );
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////////// init ////////////////////
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Count = SrcSeq->total;
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cvStartReadSeq( DstSeq, &DstReader, 0 );
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cvStartReadSeq( SrcSeq, &SrcReader, 0 );
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CV_READ_SEQ_ELEM( StartPt, DstReader );
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for( i = 0 ; i < Count ; )
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{
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CV_READ_SEQ_ELEM( EndPt, SrcReader );
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i++;
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if( StartPt.x == EndPt.x && StartPt.y == EndPt.y ) break;
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}
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///////// start ////////////////
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for( i = 1, j = 0 ; i <= DstSeq->total ; )
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{
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///////// read slice ////////////
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EndPt.x = StartPt.x;
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EndPt.y = StartPt.y;
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CV_READ_SEQ_ELEM( StartPt, DstReader );
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i++;
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TotalErrors += check_slice( StartPt, EndPt, &SrcReader, Eps, &j, Count );
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if( j > Count )
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{
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TotalErrors++;
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return TotalErrors;
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} //if( !flag )
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} // for( int i = 0 ; i < DstSeq->total ; i++ )
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return TotalErrors;
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}
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//extern CvTestContourGenerator cvTsTestContours[];
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void CV_ApproxPolyTest::run( int /*start_from*/ )
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{
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int code = cvtest::TS::OK;
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CvMemStorage* storage = 0;
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////////////// Variables ////////////////
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int IntervalsCount = 10;
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///////////
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//CvTestContourGenerator Cont;
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CvSeq* SrcSeq = NULL;
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CvSeq* DstSeq;
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int iDiam;
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float dDiam, Eps, EpsStep;
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for( int i = 0; i < 30; i++ )
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{
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CvMemStoragePos pos;
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ts->update_context( this, i, false );
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///////////////////// init contour /////////
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dDiam = 0;
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while( sqrt(dDiam) / IntervalsCount == 0 )
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{
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if( storage != 0 )
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cvReleaseMemStorage(&storage);
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storage = cvCreateMemStorage( 0 );
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if( get_contour( 0, &SrcSeq, &iDiam, storage ) )
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dDiam = (float)iDiam;
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}
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dDiam = (float)sqrt( dDiam );
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storage = SrcSeq->storage;
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////////////////// test /////////////
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EpsStep = dDiam / IntervalsCount ;
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for( Eps = EpsStep ; Eps < dDiam ; Eps += EpsStep )
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{
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cvSaveMemStoragePos( storage, &pos );
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////////// call function ////////////
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DstSeq = cvApproxPoly( SrcSeq, SrcSeq->header_size, storage,
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CV_POLY_APPROX_DP, Eps );
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if( DstSeq == NULL )
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{
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ts->printf( cvtest::TS::LOG,
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"cvApproxPoly returned NULL for contour #%d, epsilon = %g\n", i, Eps );
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code = cvtest::TS::FAIL_INVALID_OUTPUT;
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goto _exit_;
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} // if( DstSeq == NULL )
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code = check( SrcSeq, DstSeq, Eps );
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if( code != 0 )
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{
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ts->printf( cvtest::TS::LOG,
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"Incorrect result for the contour #%d approximated with epsilon=%g\n", i, Eps );
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code = cvtest::TS::FAIL_BAD_ACCURACY;
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goto _exit_;
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}
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cvRestoreMemStoragePos( storage, &pos );
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} // for( Eps = EpsStep ; Eps <= Diam ; Eps += EpsStep )
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///////////// free memory ///////////////////
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cvReleaseMemStorage(&storage);
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} // for( int i = 0; NULL != ( Cont = Contours[i] ) ; i++ )
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_exit_:
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cvReleaseMemStorage(&storage);
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if( code < 0 )
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ts->set_failed_test_info( code );
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}
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TEST(Imgproc_ApproxPoly, accuracy) { CV_ApproxPolyTest test; test.safe_run(); }
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//Tests to make sure that unreasonable epsilon (error)
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//values never get passed to the Douglas-Peucker algorithm.
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TEST(Imgproc_ApproxPoly, bad_epsilon)
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{
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std::vector<Point2f> inputPoints;
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inputPoints.push_back(Point2f(0.0f, 0.0f));
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std::vector<Point2f> outputPoints;
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double eps = std::numeric_limits<double>::infinity();
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ASSERT_ANY_THROW(approxPolyDP(inputPoints, outputPoints, eps, false));
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eps = 9e99;
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ASSERT_ANY_THROW(approxPolyDP(inputPoints, outputPoints, eps, false));
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eps = -1e-6;
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ASSERT_ANY_THROW(approxPolyDP(inputPoints, outputPoints, eps, false));
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eps = NAN;
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ASSERT_ANY_THROW(approxPolyDP(inputPoints, outputPoints, eps, false));
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}
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}} // namespace
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