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 "perf_precomp.hpp" 44 45 namespace opencv_test { namespace { 46 47 /////////////////////////////////////////////////////////////// 48 // HOG 49 50 DEF_PARAM_TEST_1(Image, string); 51 52 PERF_TEST_P(Image, ObjDetect_HOG, 53 Values<string>("gpu/hog/road.png", 54 "gpu/caltech/image_00000009_0.png", 55 "gpu/caltech/image_00000032_0.png", 56 "gpu/caltech/image_00000165_0.png", 57 "gpu/caltech/image_00000261_0.png", 58 "gpu/caltech/image_00000469_0.png", 59 "gpu/caltech/image_00000527_0.png", 60 "gpu/caltech/image_00000574_0.png")) 61 { 62 declare.time(300.0); 63 64 const cv::Mat img = readImage(GetParam(), cv::IMREAD_GRAYSCALE); 65 ASSERT_FALSE(img.empty()); 66 67 if (PERF_RUN_CUDA()) 68 { 69 const cv::cuda::GpuMat d_img(img); 70 std::vector<cv::Rect> gpu_found_locations; 71 72 cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create(); 73 d_hog->setSVMDetector(d_hog->getDefaultPeopleDetector()); 74 75 TEST_CYCLE() d_hog->detectMultiScale(d_img, gpu_found_locations); 76 77 SANITY_CHECK(gpu_found_locations); 78 } 79 else 80 { 81 std::vector<cv::Rect> cpu_found_locations; 82 83 cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create(); 84 85 cv::HOGDescriptor hog; 86 hog.setSVMDetector(d_hog->getDefaultPeopleDetector()); 87 88 TEST_CYCLE() hog.detectMultiScale(img, cpu_found_locations); 89 90 SANITY_CHECK(cpu_found_locations); 91 } 92 } 93 94 /////////////////////////////////////////////////////////////// 95 // HaarClassifier 96 97 typedef pair<string, string> pair_string; 98 DEF_PARAM_TEST_1(ImageAndCascade, pair_string); 99 100 PERF_TEST_P(ImageAndCascade, ObjDetect_HaarClassifier, 101 Values<pair_string>(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/perf/haarcascade_frontalface_alt.xml"))) 102 { 103 const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE); 104 ASSERT_FALSE(img.empty()); 105 106 if (PERF_RUN_CUDA()) 107 { 108 cv::Ptr<cv::cuda::CascadeClassifier> d_cascade = 109 cv::cuda::CascadeClassifier::create(perf::TestBase::getDataPath(GetParam().second)); 110 111 const cv::cuda::GpuMat d_img(img); 112 cv::cuda::GpuMat objects_buffer; 113 114 TEST_CYCLE() d_cascade->detectMultiScale(d_img, objects_buffer); 115 116 std::vector<cv::Rect> gpu_rects; 117 d_cascade->convert(objects_buffer, gpu_rects); 118 119 cv::groupRectangles(gpu_rects, 3, 0.2); 120 SANITY_CHECK(gpu_rects); 121 } 122 else 123 { 124 cv::CascadeClassifier cascade; 125 ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/perf/haarcascade_frontalface_alt.xml"))); 126 127 std::vector<cv::Rect> cpu_rects; 128 129 TEST_CYCLE() cascade.detectMultiScale(img, cpu_rects); 130 131 SANITY_CHECK(cpu_rects); 132 } 133 } 134 135 /////////////////////////////////////////////////////////////// 136 // LBP cascade 137 138 PERF_TEST_P(ImageAndCascade, ObjDetect_LBPClassifier, 139 Values<pair_string>(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/lbpcascade/lbpcascade_frontalface.xml"))) 140 { 141 const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE); 142 ASSERT_FALSE(img.empty()); 143 144 if (PERF_RUN_CUDA()) 145 { 146 cv::Ptr<cv::cuda::CascadeClassifier> d_cascade = 147 cv::cuda::CascadeClassifier::create(perf::TestBase::getDataPath(GetParam().second)); 148 149 const cv::cuda::GpuMat d_img(img); 150 cv::cuda::GpuMat objects_buffer; 151 152 TEST_CYCLE() d_cascade->detectMultiScale(d_img, objects_buffer); 153 154 std::vector<cv::Rect> gpu_rects; 155 d_cascade->convert(objects_buffer, gpu_rects); 156 157 cv::groupRectangles(gpu_rects, 3, 0.2); 158 SANITY_CHECK(gpu_rects); 159 } 160 else 161 { 162 cv::CascadeClassifier cascade; 163 ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/lbpcascade/lbpcascade_frontalface.xml"))); 164 165 std::vector<cv::Rect> cpu_rects; 166 167 TEST_CYCLE() cascade.detectMultiScale(img, cpu_rects); 168 169 SANITY_CHECK(cpu_rects); 170 } 171 } 172 173 }} // namespace 174