1 /*M/////////////////////////////////////////////////////////////////////////////////////// 2 // 3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. 4 // 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. 8 // 9 // 10 // License Agreement 11 // For Open Source Computer Vision Library 12 // 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. 16 // 17 // Redistribution and use in source and binary forms, with or without modification, 18 // are permitted provided that the following conditions are met: 19 // 20 // * Redistribution's of source code must retain the above copyright notice, 21 // this list of conditions and the following disclaimer. 22 // 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. 26 // 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. 29 // 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. 40 // 41 //M*/ 42 43 #include "test_precomp.hpp" 44 45 #ifdef HAVE_CUDA 46 47 using namespace cvtest; 48 49 /////////////////////////////////////////////////////////////////////////////////////////////////////// 50 // HistEven 51 52 PARAM_TEST_CASE(HistEven, cv::cuda::DeviceInfo, cv::Size) 53 { 54 cv::cuda::DeviceInfo devInfo; 55 cv::Size size; 56 57 virtual void SetUp() 58 { 59 devInfo = GET_PARAM(0); 60 size = GET_PARAM(1); 61 62 cv::cuda::setDevice(devInfo.deviceID()); 63 } 64 }; 65 66 CUDA_TEST_P(HistEven, Accuracy) 67 { 68 cv::Mat src = randomMat(size, CV_8UC1); 69 70 int hbins = 30; 71 float hranges[] = {50.0f, 200.0f}; 72 73 cv::cuda::GpuMat hist; 74 cv::cuda::histEven(loadMat(src), hist, hbins, (int) hranges[0], (int) hranges[1]); 75 76 cv::Mat hist_gold; 77 78 int histSize[] = {hbins}; 79 const float* ranges[] = {hranges}; 80 int channels[] = {0}; 81 cv::calcHist(&src, 1, channels, cv::Mat(), hist_gold, 1, histSize, ranges); 82 83 hist_gold = hist_gold.t(); 84 hist_gold.convertTo(hist_gold, CV_32S); 85 86 EXPECT_MAT_NEAR(hist_gold, hist, 0.0); 87 } 88 89 INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, HistEven, testing::Combine( 90 ALL_DEVICES, 91 DIFFERENT_SIZES)); 92 93 /////////////////////////////////////////////////////////////////////////////////////////////////////// 94 // CalcHist 95 96 PARAM_TEST_CASE(CalcHist, cv::cuda::DeviceInfo, cv::Size) 97 { 98 cv::cuda::DeviceInfo devInfo; 99 100 cv::Size size; 101 102 virtual void SetUp() 103 { 104 devInfo = GET_PARAM(0); 105 size = GET_PARAM(1); 106 107 cv::cuda::setDevice(devInfo.deviceID()); 108 } 109 }; 110 111 CUDA_TEST_P(CalcHist, Accuracy) 112 { 113 cv::Mat src = randomMat(size, CV_8UC1); 114 115 cv::cuda::GpuMat hist; 116 cv::cuda::calcHist(loadMat(src), hist); 117 118 cv::Mat hist_gold; 119 120 const int hbins = 256; 121 const float hranges[] = {0.0f, 256.0f}; 122 const int histSize[] = {hbins}; 123 const float* ranges[] = {hranges}; 124 const int channels[] = {0}; 125 126 cv::calcHist(&src, 1, channels, cv::Mat(), hist_gold, 1, histSize, ranges); 127 hist_gold = hist_gold.reshape(1, 1); 128 hist_gold.convertTo(hist_gold, CV_32S); 129 130 EXPECT_MAT_NEAR(hist_gold, hist, 0.0); 131 } 132 133 INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, CalcHist, testing::Combine( 134 ALL_DEVICES, 135 DIFFERENT_SIZES)); 136 137 /////////////////////////////////////////////////////////////////////////////////////////////////////// 138 // EqualizeHist 139 140 PARAM_TEST_CASE(EqualizeHist, cv::cuda::DeviceInfo, cv::Size) 141 { 142 cv::cuda::DeviceInfo devInfo; 143 cv::Size size; 144 145 virtual void SetUp() 146 { 147 devInfo = GET_PARAM(0); 148 size = GET_PARAM(1); 149 150 cv::cuda::setDevice(devInfo.deviceID()); 151 } 152 }; 153 154 CUDA_TEST_P(EqualizeHist, Accuracy) 155 { 156 cv::Mat src = randomMat(size, CV_8UC1); 157 158 cv::cuda::GpuMat dst; 159 cv::cuda::equalizeHist(loadMat(src), dst); 160 161 cv::Mat dst_gold; 162 cv::equalizeHist(src, dst_gold); 163 164 EXPECT_MAT_NEAR(dst_gold, dst, 3.0); 165 } 166 167 INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, EqualizeHist, testing::Combine( 168 ALL_DEVICES, 169 DIFFERENT_SIZES)); 170 171 /////////////////////////////////////////////////////////////////////////////////////////////////////// 172 // CLAHE 173 174 namespace 175 { 176 IMPLEMENT_PARAM_CLASS(ClipLimit, double) 177 } 178 179 PARAM_TEST_CASE(CLAHE, cv::cuda::DeviceInfo, cv::Size, ClipLimit) 180 { 181 cv::cuda::DeviceInfo devInfo; 182 cv::Size size; 183 double clipLimit; 184 185 virtual void SetUp() 186 { 187 devInfo = GET_PARAM(0); 188 size = GET_PARAM(1); 189 clipLimit = GET_PARAM(2); 190 191 cv::cuda::setDevice(devInfo.deviceID()); 192 } 193 }; 194 195 CUDA_TEST_P(CLAHE, Accuracy) 196 { 197 cv::Mat src = randomMat(size, CV_8UC1); 198 199 cv::Ptr<cv::cuda::CLAHE> clahe = cv::cuda::createCLAHE(clipLimit); 200 cv::cuda::GpuMat dst; 201 clahe->apply(loadMat(src), dst); 202 203 cv::Ptr<cv::CLAHE> clahe_gold = cv::createCLAHE(clipLimit); 204 cv::Mat dst_gold; 205 clahe_gold->apply(src, dst_gold); 206 207 ASSERT_MAT_NEAR(dst_gold, dst, 1.0); 208 } 209 210 INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, CLAHE, testing::Combine( 211 ALL_DEVICES, 212 DIFFERENT_SIZES, 213 testing::Values(0.0, 40.0))); 214 215 #endif // HAVE_CUDA 216
