1 /*M///////////////////////////////////////////////////////////////////////////////////////
3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
5 // By downloading, copying, installing or using the software you agree to this license.
6 // If you do not agree to this license, do not download, install,
7 // copy or use the software.
11 // For Open Source Computer Vision Library
13 // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
14 // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
15 // Third party copyrights are property of their respective owners.
17 // Redistribution and use in source and binary forms, with or without modification,
18 // are permitted provided that the following conditions are met:
20 // * Redistribution's of source code must retain the above copyright notice,
21 // this list of conditions and the following disclaimer.
23 // * Redistribution's in binary form must reproduce the above copyright notice,
24 // this list of conditions and the following disclaimer in the documentation
25 // and/or other materials provided with the distribution.
27 // * The name of the copyright holders may not be used to endorse or promote products
28 // derived from this software without specific prior written permission.
30 // This software is provided by the copyright holders and contributors "as is" and
31 // any express or implied warranties, including, but not limited to, the implied
32 // warranties of merchantability and fitness for a particular purpose are disclaimed.
33 // In no event shall the Intel Corporation or contributors be liable for any direct,
34 // indirect, incidental, special, exemplary, or consequential damages
35 // (including, but not limited to, procurement of substitute goods or services;
36 // loss of use, data, or profits; or business interruption) however caused
37 // and on any theory of liability, whether in contract, strict liability,
38 // or tort (including negligence or otherwise) arising in any way out of
39 // the use of this software, even if advised of the possibility of such damage.
43 #include "perf_precomp.hpp"
46 using namespace testing;
49 //////////////////////////////////////////////////////////////////////
52 DEF_PARAM_TEST(Image_Type_Border_BlockSz_ApertureSz, string, MatType, BorderMode, int, int);
54 PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, CornerHarris,
55 Combine(Values<string>("gpu/stereobm/aloe-L.png"),
56 Values(CV_8UC1, CV_32FC1),
57 Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_REFLECT)),
61 const string fileName = GET_PARAM(0);
62 const int type = GET_PARAM(1);
63 const int borderMode = GET_PARAM(2);
64 const int blockSize = GET_PARAM(3);
65 const int apertureSize = GET_PARAM(4);
67 cv::Mat img = readImage(fileName, cv::IMREAD_GRAYSCALE);
68 ASSERT_FALSE(img.empty());
70 img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);
76 const cv::cuda::GpuMat d_img(img);
79 cv::Ptr<cv::cuda::CornernessCriteria> harris = cv::cuda::createHarrisCorner(img.type(), blockSize, apertureSize, k, borderMode);
81 TEST_CYCLE() harris->compute(d_img, dst);
83 CUDA_SANITY_CHECK(dst, 1e-4);
89 TEST_CYCLE() cv::cornerHarris(img, dst, blockSize, apertureSize, k, borderMode);
91 CPU_SANITY_CHECK(dst);
95 //////////////////////////////////////////////////////////////////////
98 PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, CornerMinEigenVal,
99 Combine(Values<string>("gpu/stereobm/aloe-L.png"),
100 Values(CV_8UC1, CV_32FC1),
101 Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_REFLECT)),
105 const string fileName = GET_PARAM(0);
106 const int type = GET_PARAM(1);
107 const int borderMode = GET_PARAM(2);
108 const int blockSize = GET_PARAM(3);
109 const int apertureSize = GET_PARAM(4);
111 cv::Mat img = readImage(fileName, cv::IMREAD_GRAYSCALE);
112 ASSERT_FALSE(img.empty());
114 img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);
118 const cv::cuda::GpuMat d_img(img);
119 cv::cuda::GpuMat dst;
121 cv::Ptr<cv::cuda::CornernessCriteria> minEigenVal = cv::cuda::createMinEigenValCorner(img.type(), blockSize, apertureSize, borderMode);
123 TEST_CYCLE() minEigenVal->compute(d_img, dst);
125 CUDA_SANITY_CHECK(dst, 1e-4);
131 TEST_CYCLE() cv::cornerMinEigenVal(img, dst, blockSize, apertureSize, borderMode);
133 CPU_SANITY_CHECK(dst);