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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
- // 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"
- #include "opencv2/imgproc/imgproc_c.h"
- namespace opencv_test { namespace {
- class CV_AccumBaseTest : public cvtest::ArrayTest
- {
- public:
- CV_AccumBaseTest();
- protected:
- void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
- double get_success_error_level( int test_case_idx, int i, int j );
- double alpha;
- };
- CV_AccumBaseTest::CV_AccumBaseTest()
- {
- test_array[INPUT].push_back(NULL);
- test_array[INPUT_OUTPUT].push_back(NULL);
- test_array[REF_INPUT_OUTPUT].push_back(NULL);
- test_array[MASK].push_back(NULL);
- optional_mask = true;
- element_wise_relative_error = false;
- } // ctor
- void CV_AccumBaseTest::get_test_array_types_and_sizes( int test_case_idx,
- vector<vector<Size> >& sizes, vector<vector<int> >& types )
- {
- RNG& rng = ts->get_rng();
- int depth = cvtest::randInt(rng) % 4, cn = cvtest::randInt(rng) & 1 ? 3 : 1;
- int accdepth = (int)(cvtest::randInt(rng) % 2 + 1);
- int i, input_count = (int)test_array[INPUT].size();
- cvtest::ArrayTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
- depth = depth == 0 ? CV_8U : depth == 1 ? CV_16U : depth == 2 ? CV_32F : CV_64F;
- accdepth = accdepth == 1 ? CV_32F : CV_64F;
- accdepth = MAX(accdepth, depth);
- for( i = 0; i < input_count; i++ )
- types[INPUT][i] = CV_MAKETYPE(depth,cn);
- types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(accdepth,cn);
- alpha = cvtest::randReal(rng);
- }
- double CV_AccumBaseTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
- {
- return test_mat[INPUT_OUTPUT][0].depth() < CV_64F ||
- test_mat[INPUT][0].depth() == CV_32F ? FLT_EPSILON*100 : DBL_EPSILON*1000;
- }
- /// acc
- class CV_AccTest : public CV_AccumBaseTest
- {
- public:
- CV_AccTest() { }
- protected:
- void run_func();
- void prepare_to_validation( int );
- };
- void CV_AccTest::run_func(void)
- {
- cvAcc( test_array[INPUT][0], test_array[INPUT_OUTPUT][0], test_array[MASK][0] );
- }
- void CV_AccTest::prepare_to_validation( int )
- {
- const Mat& src = test_mat[INPUT][0];
- Mat& dst = test_mat[REF_INPUT_OUTPUT][0];
- const Mat& mask = test_array[MASK][0] ? test_mat[MASK][0] : Mat();
- Mat temp;
- cvtest::add( src, 1, dst, 1, cvScalarAll(0.), temp, dst.type() );
- cvtest::copy( temp, dst, mask );
- }
- /// square acc
- class CV_SquareAccTest : public CV_AccumBaseTest
- {
- public:
- CV_SquareAccTest();
- protected:
- void run_func();
- void prepare_to_validation( int );
- };
- CV_SquareAccTest::CV_SquareAccTest()
- {
- }
- void CV_SquareAccTest::run_func()
- {
- cvSquareAcc( test_array[INPUT][0], test_array[INPUT_OUTPUT][0], test_array[MASK][0] );
- }
- void CV_SquareAccTest::prepare_to_validation( int )
- {
- const Mat& src = test_mat[INPUT][0];
- Mat& dst = test_mat[REF_INPUT_OUTPUT][0];
- const Mat& mask = test_array[MASK][0] ? test_mat[MASK][0] : Mat();
- Mat temp;
- cvtest::convert( src, temp, dst.type() );
- cvtest::multiply( temp, temp, temp, 1 );
- cvtest::add( temp, 1, dst, 1, cvScalarAll(0.), temp, dst.depth() );
- cvtest::copy( temp, dst, mask );
- }
- /// multiply acc
- class CV_MultiplyAccTest : public CV_AccumBaseTest
- {
- public:
- CV_MultiplyAccTest();
- protected:
- void run_func();
- void prepare_to_validation( int );
- };
- CV_MultiplyAccTest::CV_MultiplyAccTest()
- {
- test_array[INPUT].push_back(NULL);
- }
- void CV_MultiplyAccTest::run_func()
- {
- cvMultiplyAcc( test_array[INPUT][0], test_array[INPUT][1],
- test_array[INPUT_OUTPUT][0], test_array[MASK][0] );
- }
- void CV_MultiplyAccTest::prepare_to_validation( int )
- {
- const Mat& src1 = test_mat[INPUT][0];
- const Mat& src2 = test_mat[INPUT][1];
- Mat& dst = test_mat[REF_INPUT_OUTPUT][0];
- const Mat& mask = test_array[MASK][0] ? test_mat[MASK][0] : Mat();
- Mat temp1, temp2;
- cvtest::convert( src1, temp1, dst.type() );
- cvtest::convert( src2, temp2, dst.type() );
- cvtest::multiply( temp1, temp2, temp1, 1 );
- cvtest::add( temp1, 1, dst, 1, cvScalarAll(0.), temp1, dst.depth() );
- cvtest::copy( temp1, dst, mask );
- }
- /// running average
- class CV_RunningAvgTest : public CV_AccumBaseTest
- {
- public:
- CV_RunningAvgTest();
- protected:
- void run_func();
- void prepare_to_validation( int );
- };
- CV_RunningAvgTest::CV_RunningAvgTest()
- {
- }
- void CV_RunningAvgTest::run_func()
- {
- cvRunningAvg( test_array[INPUT][0], test_array[INPUT_OUTPUT][0],
- alpha, test_array[MASK][0] );
- }
- void CV_RunningAvgTest::prepare_to_validation( int )
- {
- const Mat& src = test_mat[INPUT][0];
- Mat& dst = test_mat[REF_INPUT_OUTPUT][0];
- Mat temp;
- const Mat& mask = test_array[MASK][0] ? test_mat[MASK][0] : Mat();
- double a[1], b[1];
- int accdepth = test_mat[INPUT_OUTPUT][0].depth();
- CvMat A = cvMat(1,1,accdepth,a), B = cvMat(1,1,accdepth,b);
- cvSetReal1D( &A, 0, alpha);
- cvSetReal1D( &B, 0, 1 - cvGetReal1D(&A, 0));
- cvtest::convert( src, temp, dst.type() );
- cvtest::add( src, cvGetReal1D(&A, 0), dst, cvGetReal1D(&B, 0), cvScalarAll(0.), temp, temp.depth() );
- cvtest::copy( temp, dst, mask );
- }
- TEST(Video_Acc, accuracy) { CV_AccTest test; test.safe_run(); }
- TEST(Video_AccSquared, accuracy) { CV_SquareAccTest test; test.safe_run(); }
- TEST(Video_AccProduct, accuracy) { CV_MultiplyAccTest test; test.safe_run(); }
- TEST(Video_RunningAvg, accuracy) { CV_RunningAvgTest test; test.safe_run(); }
- }} // namespace
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