mirror of
https://github.com/opencv/opencv.git
synced 2024-12-16 02:19:12 +08:00
4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
215 lines
6.7 KiB
C++
215 lines
6.7 KiB
C++
/*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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namespace opencv_test { namespace {
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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_SIMILAR(disp_gold, h_disp, 1e-4);
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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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}} // namespace
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#endif // HAVE_CUDA
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