426 lines
13 KiB
C++
426 lines
13 KiB
C++
/*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 "cvtest.h"
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static const char* moments_param_names[] = { "size", "depth", 0 };
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static const int moments_depths[] = { CV_8U, CV_32F, -1 };
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static const CvSize moments_sizes[] = {{30,30}, {320, 240}, {720,480}, {-1,-1}};
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static const CvSize moments_whole_sizes[] = {{320,240}, {320, 240}, {720,480}, {-1,-1}};
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// image moments
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class CV_MomentsTest : public CvArrTest
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{
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public:
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CV_MomentsTest();
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protected:
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enum { MOMENT_COUNT = 25 };
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int prepare_test_case( int test_case_idx );
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void prepare_to_validation( int /*test_case_idx*/ );
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void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
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void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
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CvSize** whole_sizes, bool *are_images );
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void get_minmax_bounds( int i, int j, int type, CvScalar* low, CvScalar* high );
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double get_success_error_level( int test_case_idx, int i, int j );
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void run_func();
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int coi;
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bool is_binary;
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};
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CV_MomentsTest::CV_MomentsTest()
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: CvArrTest( "moments-raster", "cvMoments, cvGetNormalizedCentralMoment", "" )
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{
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test_array[INPUT].push(NULL);
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test_array[OUTPUT].push(NULL);
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test_array[REF_OUTPUT].push(NULL);
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coi = -1;
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is_binary = false;
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//element_wise_relative_error = false;
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default_timing_param_names = moments_param_names;
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depth_list = moments_depths;
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size_list = moments_sizes;
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whole_size_list = moments_whole_sizes;
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cn_list = 0;
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}
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void CV_MomentsTest::get_minmax_bounds( int i, int j, int type, CvScalar* low, CvScalar* high )
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{
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CvArrTest::get_minmax_bounds( i, j, type, low, high );
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int depth = CV_MAT_DEPTH(type);
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if( depth == CV_16U )
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{
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*low = cvScalarAll(0);
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*high = cvScalarAll(1000);
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}
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else if( depth == CV_16S )
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{
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*low = cvScalarAll(-1000);
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*high = cvScalarAll(1000);
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}
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else if( depth == CV_32F )
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{
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*low = cvScalarAll(-1);
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*high = cvScalarAll(1);
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}
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}
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void CV_MomentsTest::get_test_array_types_and_sizes( int test_case_idx,
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CvSize** sizes, int** types )
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{
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CvRNG* rng = ts->get_rng();
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CvArrTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
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int cn = cvTsRandInt(rng) % 4 + 1;
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int depth = cvTsRandInt(rng) % 4;
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depth = depth == 0 ? CV_8U : depth == 1 ? CV_16U : depth == 2 ? CV_16S : CV_32F;
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if( cn == 2 )
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cn = 1;
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types[INPUT][0] = CV_MAKETYPE(depth, cn);
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types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_64FC1;
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sizes[OUTPUT][0] = sizes[REF_OUTPUT][0] = cvSize(MOMENT_COUNT,1);
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is_binary = cvTsRandInt(rng) % 2 != 0;
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coi = 0;
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cvmat_allowed = true;
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if( cn > 1 )
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{
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coi = cvTsRandInt(rng) % cn;
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cvmat_allowed = false;
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}
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}
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void CV_MomentsTest::get_timing_test_array_types_and_sizes( int test_case_idx,
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CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
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{
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CvArrTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
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whole_sizes, are_images );
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types[OUTPUT][0] = CV_64FC1;
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sizes[OUTPUT][0] = whole_sizes[OUTPUT][0] = cvSize(MOMENT_COUNT,1);
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}
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double CV_MomentsTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
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{
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int depth = CV_MAT_DEPTH(test_mat[INPUT][0].type);
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return depth != CV_32F ? FLT_EPSILON : FLT_EPSILON*100;
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}
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int CV_MomentsTest::prepare_test_case( int test_case_idx )
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{
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int code = CvArrTest::prepare_test_case( test_case_idx );
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if( code > 0 )
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{
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int cn = CV_MAT_CN(test_mat[INPUT][0].type);
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if( cn > 1 )
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cvSetImageCOI( (IplImage*)test_array[INPUT][0], coi + 1 );
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}
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return code;
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}
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void CV_MomentsTest::run_func()
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{
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CvMoments* m = (CvMoments*)test_mat[OUTPUT][0].data.db;
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double* others = (double*)(m + 1);
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cvMoments( test_array[INPUT][0], m, is_binary );
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others[0] = cvGetNormalizedCentralMoment( m, 2, 0 );
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others[1] = cvGetNormalizedCentralMoment( m, 1, 1 );
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others[2] = cvGetNormalizedCentralMoment( m, 0, 2 );
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others[3] = cvGetNormalizedCentralMoment( m, 3, 0 );
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others[4] = cvGetNormalizedCentralMoment( m, 2, 1 );
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others[5] = cvGetNormalizedCentralMoment( m, 1, 2 );
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others[6] = cvGetNormalizedCentralMoment( m, 0, 3 );
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}
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void CV_MomentsTest::prepare_to_validation( int /*test_case_idx*/ )
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{
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CvMat* src = &test_mat[INPUT][0];
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CvMoments m;
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double* mdata = test_mat[REF_OUTPUT][0].data.db;
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int depth = CV_MAT_DEPTH(src->type);
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int cn = CV_MAT_CN(src->type);
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int i, y, x, cols = src->cols;
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double xc = 0., yc = 0.;
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memset( &m, 0, sizeof(m));
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for( y = 0; y < src->rows; y++ )
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{
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double s0 = 0, s1 = 0, s2 = 0, s3 = 0;
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uchar* ptr = src->data.ptr + y*src->step;
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for( x = 0; x < cols; x++ )
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{
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double val;
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if( depth == CV_8U )
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val = ptr[x*cn + coi];
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else if( depth == CV_16U )
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val = ((ushort*)ptr)[x*cn + coi];
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else if( depth == CV_16S )
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val = ((short*)ptr)[x*cn + coi];
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else
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val = ((float*)ptr)[x*cn + coi];
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if( is_binary )
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val = val != 0;
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s0 += val;
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s1 += val*x;
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s2 += val*x*x;
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s3 += ((val*x)*x)*x;
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}
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m.m00 += s0;
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m.m01 += s0*y;
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m.m02 += (s0*y)*y;
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m.m03 += ((s0*y)*y)*y;
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m.m10 += s1;
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m.m11 += s1*y;
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m.m12 += (s1*y)*y;
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m.m20 += s2;
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m.m21 += s2*y;
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m.m30 += s3;
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}
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if( m.m00 != 0 )
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{
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xc = m.m10/m.m00, yc = m.m01/m.m00;
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m.inv_sqrt_m00 = 1./sqrt(fabs(m.m00));
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}
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for( y = 0; y < src->rows; y++ )
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{
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double s0 = 0, s1 = 0, s2 = 0, s3 = 0, y1 = y - yc;
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uchar* ptr = src->data.ptr + y*src->step;
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for( x = 0; x < cols; x++ )
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{
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double val, x1 = x - xc;
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if( depth == CV_8U )
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val = ptr[x*cn + coi];
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else if( depth == CV_16U )
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val = ((ushort*)ptr)[x*cn + coi];
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else if( depth == CV_16S )
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val = ((short*)ptr)[x*cn + coi];
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else
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val = ((float*)ptr)[x*cn + coi];
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if( is_binary )
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val = val != 0;
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s0 += val;
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s1 += val*x1;
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s2 += val*x1*x1;
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s3 += ((val*x1)*x1)*x1;
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}
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m.mu02 += s0*y1*y1;
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m.mu03 += ((s0*y1)*y1)*y1;
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m.mu11 += s1*y1;
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m.mu12 += (s1*y1)*y1;
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m.mu20 += s2;
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m.mu21 += s2*y1;
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m.mu30 += s3;
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}
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memcpy( mdata, &m, sizeof(m));
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mdata += sizeof(m)/sizeof(m.m00);
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/* calc normalized moments */
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{
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double inv_m00 = m.inv_sqrt_m00*m.inv_sqrt_m00;
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double s2 = inv_m00*inv_m00; /* 1./(m00 ^ (2/2 + 1)) */
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double s3 = s2*m.inv_sqrt_m00; /* 1./(m00 ^ (3/2 + 1)) */
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mdata[0] = m.mu20 * s2;
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mdata[1] = m.mu11 * s2;
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mdata[2] = m.mu02 * s2;
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mdata[3] = m.mu30 * s3;
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mdata[4] = m.mu21 * s3;
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mdata[5] = m.mu12 * s3;
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mdata[6] = m.mu03 * s3;
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}
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{
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double* a = test_mat[REF_OUTPUT][0].data.db;
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double* b = test_mat[OUTPUT][0].data.db;
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for( i = 0; i < MOMENT_COUNT; i++ )
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{
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if( fabs(a[i]) < 1e-3 )
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a[i] = 0;
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if( fabs(b[i]) < 1e-3 )
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b[i] = 0;
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}
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}
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}
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//CV_MomentsTest img_moments_test;
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// Hu invariants
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class CV_HuMomentsTest : public CvArrTest
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{
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public:
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CV_HuMomentsTest();
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protected:
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enum { MOMENT_COUNT = 18, HU_MOMENT_COUNT = 7 };
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int prepare_test_case( int test_case_idx );
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void prepare_to_validation( int /*test_case_idx*/ );
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void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
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void get_minmax_bounds( int i, int j, int type, CvScalar* low, CvScalar* high );
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double get_success_error_level( int test_case_idx, int i, int j );
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void run_func();
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};
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CV_HuMomentsTest::CV_HuMomentsTest()
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: CvArrTest( "moments-hu", "cvHuMoments", "" )
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{
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test_array[INPUT].push(NULL);
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test_array[OUTPUT].push(NULL);
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test_array[REF_OUTPUT].push(NULL);
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support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE; // for now disable the timing test
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}
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void CV_HuMomentsTest::get_minmax_bounds( int i, int j, int type, CvScalar* low, CvScalar* high )
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{
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CvArrTest::get_minmax_bounds( i, j, type, low, high );
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*low = cvScalarAll(-10000);
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*high = cvScalarAll(10000);
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}
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void CV_HuMomentsTest::get_test_array_types_and_sizes( int test_case_idx,
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CvSize** sizes, int** types )
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{
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CvArrTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
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types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_64FC1;
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sizes[INPUT][0] = cvSize(MOMENT_COUNT,1);
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sizes[OUTPUT][0] = sizes[REF_OUTPUT][0] = cvSize(HU_MOMENT_COUNT,1);
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}
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double CV_HuMomentsTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
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{
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return FLT_EPSILON;
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}
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int CV_HuMomentsTest::prepare_test_case( int test_case_idx )
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{
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int code = CvArrTest::prepare_test_case( test_case_idx );
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if( code > 0 )
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{
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// ...
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}
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return code;
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}
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void CV_HuMomentsTest::run_func()
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{
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cvGetHuMoments( (CvMoments*)test_mat[INPUT][0].data.db,
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(CvHuMoments*)test_mat[OUTPUT][0].data.db );
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}
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void CV_HuMomentsTest::prepare_to_validation( int /*test_case_idx*/ )
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{
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CvMoments* m = (CvMoments*)test_mat[INPUT][0].data.db;
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CvHuMoments* hu = (CvHuMoments*)test_mat[REF_OUTPUT][0].data.db;
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double inv_m00 = m->inv_sqrt_m00*m->inv_sqrt_m00;
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double s2 = inv_m00*inv_m00; /* 1./(m00 ^ (2/2 + 1)) */
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double s3 = s2*m->inv_sqrt_m00; /* 1./(m00 ^ (3/2 + 1)) */
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double nu20 = m->mu20 * s2;
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double nu11 = m->mu11 * s2;
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double nu02 = m->mu02 * s2;
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double nu30 = m->mu30 * s3;
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double nu21 = m->mu21 * s3;
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double nu12 = m->mu12 * s3;
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double nu03 = m->mu03 * s3;
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#undef sqr
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#define sqr(a) ((a)*(a))
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hu->hu1 = nu20 + nu02;
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hu->hu2 = sqr(nu20 - nu02) + 4*sqr(nu11);
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hu->hu3 = sqr(nu30 - 3*nu12) + sqr(3*nu21 - nu03);
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hu->hu4 = sqr(nu30 + nu12) + sqr(nu21 + nu03);
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hu->hu5 = (nu30 - 3*nu12)*(nu30 + nu12)*(sqr(nu30 + nu12) - 3*sqr(nu21 + nu03)) +
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(3*nu21 - nu03)*(nu21 + nu03)*(3*sqr(nu30 + nu12) - sqr(nu21 + nu03));
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hu->hu6 = (nu20 - nu02)*(sqr(nu30 + nu12) - sqr(nu21 + nu03)) +
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4*nu11*(nu30 + nu12)*(nu21 + nu03);
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hu->hu7 = (3*nu21 - nu03)*(nu30 + nu12)*(sqr(nu30 + nu12) - 3*sqr(nu21 + nu03)) +
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(3*nu12 - nu30)*(nu21 + nu03)*(3*sqr(nu30 + nu12) - sqr(nu21 + nu03));
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}
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CV_HuMomentsTest hu_moments_test;
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