119 lines
4.2 KiB
C++
119 lines
4.2 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> s_bm_test_t;
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typedef perf::TestBaseWithParam<s_bm_test_t> s_bm;
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PERF_TEST_P( s_bm, sgm_perf,
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testing::Combine(
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testing::Values( cv::Size(512, 283), cv::Size(320, 240)),
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testing::Values( CV_8U ),
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testing::Values( CV_8U,CV_16S )
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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 right(sz, matType);
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Mat out1(sz, sdepth);
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Ptr<StereoBinarySGBM> sgbm = StereoBinarySGBM::create(0, 16, 5);
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sgbm->setBinaryKernelType(CV_DENSE_CENSUS);
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declare.in(left, WARMUP_RNG)
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.out(out1)
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.time(0.1)
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.iterations(20);
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TEST_CYCLE()
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{
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sgbm->compute(left, right, out1);
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}
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SANITY_CHECK(out1);
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}
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PERF_TEST_P( s_bm, bm_perf,
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testing::Combine(
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testing::Values( cv::Size(512, 383), cv::Size(320, 240) ),
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testing::Values( CV_8U ),
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testing::Values( CV_8U )
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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 right(sz, matType);
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Mat out1(sz, sdepth);
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Ptr<StereoBinaryBM> sbm = StereoBinaryBM::create(16, 9);
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// we set the corresponding parameters
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sbm->setPreFilterCap(31);
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sbm->setMinDisparity(0);
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sbm->setTextureThreshold(10);
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sbm->setUniquenessRatio(0);
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sbm->setSpeckleWindowSize(400);
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sbm->setDisp12MaxDiff(0);
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sbm->setAgregationWindowSize(11);
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// the user can choose between the average speckle removal algorithm or
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// the classical version that was implemented in OpenCV
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sbm->setSpekleRemovalTechnique(CV_SPECKLE_REMOVAL_AVG_ALGORITHM);
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sbm->setUsePrefilter(false);
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declare.in(left, WARMUP_RNG)
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.out(out1)
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.time(0.1)
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.iterations(20);
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TEST_CYCLE()
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{
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sbm->compute(left, right, out1);
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}
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SANITY_CHECK(out1);
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}
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}} // namespace
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