144 lines
4.7 KiB
C++
144 lines
4.7 KiB
C++
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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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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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 "perf_precomp.hpp"
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namespace opencv_test { namespace {
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typedef tuple<Size, MatType, MatDepth> descript_params_t;
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typedef perf::TestBaseWithParam<descript_params_t> descript_params;
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PERF_TEST_P( descript_params, census_sparse_descriptor,
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testing::Combine(
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testing::Values( TYPICAL_MAT_SIZES ),
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testing::Values( CV_8U ),
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testing::Values( CV_32SC4,CV_32S )
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)
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)
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{
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Size sz = get<0>(GetParam());
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int matType = get<1>(GetParam());
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int sdepth = get<2>(GetParam());
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Mat left(sz, matType);
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Mat out1(sz, sdepth);
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declare.in(left, WARMUP_RNG)
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.out(out1)
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.time(0.01);
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TEST_CYCLE()
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{
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censusTransform(left,9,out1,CV_SPARSE_CENSUS);
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}
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SANITY_CHECK(out1);
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}
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PERF_TEST_P( descript_params, star_census_transform,
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testing::Combine(
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testing::Values( TYPICAL_MAT_SIZES ),
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testing::Values( CV_8U ),
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testing::Values( CV_32SC4,CV_32S )
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)
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)
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{
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Size sz = get<0>(GetParam());
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int matType = get<1>(GetParam());
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int sdepth = get<2>(GetParam());
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Mat left(sz, matType);
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Mat out1(sz, sdepth);
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declare.in(left, WARMUP_RNG)
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.out(out1)
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.time(0.01);
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TEST_CYCLE()
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{
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starCensusTransform(left,9,out1);
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}
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SANITY_CHECK(out1);
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}
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PERF_TEST_P( descript_params, modified_census_transform,
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testing::Combine(
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testing::Values( TYPICAL_MAT_SIZES ),
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testing::Values( CV_8U ),
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testing::Values( CV_32SC4,CV_32S )
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)
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)
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{
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Size sz = get<0>(GetParam());
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int matType = get<1>(GetParam());
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int sdepth = get<2>(GetParam());
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Mat left(sz, matType);
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Mat out1(sz, sdepth);
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declare.in(left, WARMUP_RNG)
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.out(out1)
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.time(0.01);
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TEST_CYCLE()
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{
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modifiedCensusTransform(left,9,out1,CV_MODIFIED_CENSUS_TRANSFORM);
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}
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SANITY_CHECK(out1);
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}
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PERF_TEST_P( descript_params, center_symetric_census,
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testing::Combine(
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testing::Values( TYPICAL_MAT_SIZES ),
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testing::Values( CV_8U ),
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testing::Values( CV_32SC4,CV_32S )
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)
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)
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{
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Size sz = get<0>(GetParam());
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int matType = get<1>(GetParam());
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int sdepth = get<2>(GetParam());
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Mat left(sz, matType);
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Mat out1(sz, sdepth);
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declare.in(left, WARMUP_RNG)
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.out(out1)
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.time(0.01);
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TEST_CYCLE()
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{
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symetricCensusTransform(left,7,out1,CV_CS_CENSUS);
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}
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SANITY_CHECK(out1);
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}
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}} // namespace
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