mirror of
https://github.com/opencv/opencv.git
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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
152 lines
5.3 KiB
C++
152 lines
5.3 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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// 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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