/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" #ifdef HAVE_CUDA using namespace cvtest; /////////////////////////////////////////////////////////////////////////////////////////////////////// // CornerHarris namespace { IMPLEMENT_PARAM_CLASS(BlockSize, int); IMPLEMENT_PARAM_CLASS(ApertureSize, int); } PARAM_TEST_CASE(CornerHarris, cv::cuda::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize) { cv::cuda::DeviceInfo devInfo; int type; int borderType; int blockSize; int apertureSize; virtual void SetUp() { devInfo = GET_PARAM(0); type = GET_PARAM(1); borderType = GET_PARAM(2); blockSize = GET_PARAM(3); apertureSize = GET_PARAM(4); cv::cuda::setDevice(devInfo.deviceID()); } }; CUDA_TEST_P(CornerHarris, Accuracy) { cv::Mat src = readImageType("stereobm/aloe-L.png", type); ASSERT_FALSE(src.empty()); double k = randomDouble(0.1, 0.9); cv::Ptr harris = cv::cuda::createHarrisCorner(src.type(), blockSize, apertureSize, k, borderType); cv::cuda::GpuMat dst; harris->compute(loadMat(src), dst); cv::Mat dst_gold; cv::cornerHarris(src, dst_gold, blockSize, apertureSize, k, borderType); EXPECT_MAT_NEAR(dst_gold, dst, 0.02); } INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, CornerHarris, testing::Combine( ALL_DEVICES, testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)), testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_REFLECT)), testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)), testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7)))); /////////////////////////////////////////////////////////////////////////////////////////////////////// // cornerMinEigen PARAM_TEST_CASE(CornerMinEigen, cv::cuda::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize) { cv::cuda::DeviceInfo devInfo; int type; int borderType; int blockSize; int apertureSize; virtual void SetUp() { devInfo = GET_PARAM(0); type = GET_PARAM(1); borderType = GET_PARAM(2); blockSize = GET_PARAM(3); apertureSize = GET_PARAM(4); cv::cuda::setDevice(devInfo.deviceID()); } }; CUDA_TEST_P(CornerMinEigen, Accuracy) { cv::Mat src = readImageType("stereobm/aloe-L.png", type); ASSERT_FALSE(src.empty()); cv::Ptr minEigenVal = cv::cuda::createMinEigenValCorner(src.type(), blockSize, apertureSize, borderType); cv::cuda::GpuMat dst; minEigenVal->compute(loadMat(src), dst); cv::Mat dst_gold; cv::cornerMinEigenVal(src, dst_gold, blockSize, apertureSize, borderType); EXPECT_MAT_NEAR(dst_gold, dst, 0.02); } INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, CornerMinEigen, testing::Combine( ALL_DEVICES, testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)), testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_REFLECT)), testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)), testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7)))); #endif // HAVE_CUDA