mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
149 lines
5.3 KiB
149 lines
5.3 KiB
/*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::gpu::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize) |
|
{ |
|
cv::gpu::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::gpu::setDevice(devInfo.deviceID()); |
|
} |
|
}; |
|
|
|
GPU_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<cv::gpu::CornernessCriteria> harris = cv::gpu::createHarrisCorner(src.type(), blockSize, apertureSize, k, borderType); |
|
|
|
cv::gpu::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(GPU_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::gpu::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize) |
|
{ |
|
cv::gpu::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::gpu::setDevice(devInfo.deviceID()); |
|
} |
|
}; |
|
|
|
GPU_TEST_P(CornerMinEigen, Accuracy) |
|
{ |
|
cv::Mat src = readImageType("stereobm/aloe-L.png", type); |
|
ASSERT_FALSE(src.empty()); |
|
|
|
cv::Ptr<cv::gpu::CornernessCriteria> minEigenVal = cv::gpu::createMinEigenValCorner(src.type(), blockSize, apertureSize, borderType); |
|
|
|
cv::gpu::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(GPU_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
|
|
|