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Open Source Computer Vision Library
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212 lines
6.7 KiB
212 lines
6.7 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 "test_precomp.hpp" |
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#ifdef HAVE_CUDA |
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using namespace cvtest; |
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////////////////////////////////////////////////////////////////////////// |
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// StereoBM |
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struct StereoBM : testing::TestWithParam<cv::cuda::DeviceInfo> |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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virtual void SetUp() |
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{ |
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devInfo = GetParam(); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(StereoBM, Regression) |
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{ |
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cv::Mat left_image = readImage("stereobm/aloe-L.png", cv::IMREAD_GRAYSCALE); |
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cv::Mat right_image = readImage("stereobm/aloe-R.png", cv::IMREAD_GRAYSCALE); |
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cv::Mat disp_gold = readImage("stereobm/aloe-disp.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(left_image.empty()); |
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ASSERT_FALSE(right_image.empty()); |
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ASSERT_FALSE(disp_gold.empty()); |
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cv::Ptr<cv::StereoBM> bm = cv::cuda::createStereoBM(128, 19); |
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cv::cuda::GpuMat disp; |
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bm->compute(loadMat(left_image), loadMat(right_image), disp); |
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EXPECT_MAT_NEAR(disp_gold, disp, 0.0); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Stereo, StereoBM, ALL_DEVICES); |
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////////////////////////////////////////////////////////////////////////// |
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// StereoBeliefPropagation |
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struct StereoBeliefPropagation : testing::TestWithParam<cv::cuda::DeviceInfo> |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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virtual void SetUp() |
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{ |
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devInfo = GetParam(); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(StereoBeliefPropagation, Regression) |
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{ |
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cv::Mat left_image = readImage("stereobp/aloe-L.png"); |
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cv::Mat right_image = readImage("stereobp/aloe-R.png"); |
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cv::Mat disp_gold = readImage("stereobp/aloe-disp.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(left_image.empty()); |
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ASSERT_FALSE(right_image.empty()); |
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ASSERT_FALSE(disp_gold.empty()); |
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cv::Ptr<cv::cuda::StereoBeliefPropagation> bp = cv::cuda::createStereoBeliefPropagation(64, 8, 2, CV_16S); |
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bp->setMaxDataTerm(25.0); |
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bp->setDataWeight(0.1); |
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bp->setMaxDiscTerm(15.0); |
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bp->setDiscSingleJump(1.0); |
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cv::cuda::GpuMat disp; |
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bp->compute(loadMat(left_image), loadMat(right_image), disp); |
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cv::Mat h_disp(disp); |
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h_disp.convertTo(h_disp, disp_gold.depth()); |
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EXPECT_MAT_NEAR(disp_gold, h_disp, 0.0); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Stereo, StereoBeliefPropagation, ALL_DEVICES); |
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////////////////////////////////////////////////////////////////////////// |
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// StereoConstantSpaceBP |
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struct StereoConstantSpaceBP : testing::TestWithParam<cv::cuda::DeviceInfo> |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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virtual void SetUp() |
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{ |
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devInfo = GetParam(); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(StereoConstantSpaceBP, Regression) |
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{ |
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cv::Mat left_image = readImage("csstereobp/aloe-L.png"); |
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cv::Mat right_image = readImage("csstereobp/aloe-R.png"); |
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cv::Mat disp_gold; |
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if (supportFeature(devInfo, cv::cuda::FEATURE_SET_COMPUTE_20)) |
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disp_gold = readImage("csstereobp/aloe-disp.png", cv::IMREAD_GRAYSCALE); |
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else |
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disp_gold = readImage("csstereobp/aloe-disp_CC1X.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(left_image.empty()); |
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ASSERT_FALSE(right_image.empty()); |
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ASSERT_FALSE(disp_gold.empty()); |
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cv::Ptr<cv::cuda::StereoConstantSpaceBP> csbp = cv::cuda::createStereoConstantSpaceBP(128, 16, 4, 4); |
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cv::cuda::GpuMat disp; |
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csbp->compute(loadMat(left_image), loadMat(right_image), disp); |
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cv::Mat h_disp(disp); |
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h_disp.convertTo(h_disp, disp_gold.depth()); |
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EXPECT_MAT_NEAR(disp_gold, h_disp, 1.0); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Stereo, StereoConstantSpaceBP, ALL_DEVICES); |
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//////////////////////////////////////////////////////////////////////////////// |
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// reprojectImageTo3D |
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PARAM_TEST_CASE(ReprojectImageTo3D, cv::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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cv::Size size; |
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int depth; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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size = GET_PARAM(1); |
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depth = GET_PARAM(2); |
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useRoi = GET_PARAM(3); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(ReprojectImageTo3D, Accuracy) |
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{ |
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cv::Mat disp = randomMat(size, depth, 5.0, 30.0); |
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cv::Mat Q = randomMat(cv::Size(4, 4), CV_32FC1, 0.1, 1.0); |
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cv::cuda::GpuMat dst; |
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cv::cuda::reprojectImageTo3D(loadMat(disp, useRoi), dst, Q, 3); |
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cv::Mat dst_gold; |
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cv::reprojectImageTo3D(disp, dst_gold, Q, false); |
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EXPECT_MAT_NEAR(dst_gold, dst, 1e-5); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Stereo, ReprojectImageTo3D, testing::Combine( |
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ALL_DEVICES, |
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DIFFERENT_SIZES, |
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testing::Values(MatDepth(CV_8U), MatDepth(CV_16S)), |
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WHOLE_SUBMAT)); |
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#endif // HAVE_CUDA
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