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118 lines
4.3 KiB
118 lines
4.3 KiB
/*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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using namespace std; |
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using namespace cv; |
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using namespace cv::stereo; |
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using namespace perf; |
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typedef std::tr1::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 = std::tr1::get<0>(GetParam()); |
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int matType = std::tr1::get<1>(GetParam()); |
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int sdepth = std::tr1::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 = std::tr1::get<0>(GetParam()); |
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int matType = std::tr1::get<1>(GetParam()); |
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int sdepth = std::tr1::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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