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Open Source Computer Vision Library
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151 lines
5.3 KiB
151 lines
5.3 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 "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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// CornerHarris |
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namespace |
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{ |
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IMPLEMENT_PARAM_CLASS(BlockSize, int); |
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IMPLEMENT_PARAM_CLASS(ApertureSize, int); |
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} |
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PARAM_TEST_CASE(CornerHarris, cv::cuda::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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int type; |
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int borderType; |
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int blockSize; |
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int apertureSize; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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type = GET_PARAM(1); |
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borderType = GET_PARAM(2); |
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blockSize = GET_PARAM(3); |
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apertureSize = GET_PARAM(4); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(CornerHarris, Accuracy) |
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{ |
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cv::Mat src = readImageType("stereobm/aloe-L.png", type); |
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ASSERT_FALSE(src.empty()); |
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double k = randomDouble(0.1, 0.9); |
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cv::Ptr<cv::cuda::CornernessCriteria> harris = cv::cuda::createHarrisCorner(src.type(), blockSize, apertureSize, k, borderType); |
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cv::cuda::GpuMat dst; |
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harris->compute(loadMat(src), dst); |
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cv::Mat dst_gold; |
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cv::cornerHarris(src, dst_gold, blockSize, apertureSize, k, borderType); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.02); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, CornerHarris, testing::Combine( |
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ALL_DEVICES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)), |
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testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_REFLECT)), |
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testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)), |
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testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7)))); |
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/////////////////////////////////////////////////////////////////////////////////////////////////////// |
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// cornerMinEigen |
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PARAM_TEST_CASE(CornerMinEigen, cv::cuda::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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int type; |
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int borderType; |
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int blockSize; |
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int apertureSize; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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type = GET_PARAM(1); |
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borderType = GET_PARAM(2); |
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blockSize = GET_PARAM(3); |
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apertureSize = GET_PARAM(4); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(CornerMinEigen, Accuracy) |
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{ |
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cv::Mat src = readImageType("stereobm/aloe-L.png", type); |
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ASSERT_FALSE(src.empty()); |
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cv::Ptr<cv::cuda::CornernessCriteria> minEigenVal = cv::cuda::createMinEigenValCorner(src.type(), blockSize, apertureSize, borderType); |
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cv::cuda::GpuMat dst; |
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minEigenVal->compute(loadMat(src), dst); |
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cv::Mat dst_gold; |
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cv::cornerMinEigenVal(src, dst_gold, blockSize, apertureSize, borderType); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.02); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, CornerMinEigen, testing::Combine( |
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ALL_DEVICES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)), |
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testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_REFLECT)), |
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testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)), |
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testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7)))); |
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}} // namespace |
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#endif // HAVE_CUDA
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