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 // Intel License Agreement 11 // For Open Source Computer Vision Library 12 // 13 // Copyright (C) 2000, Intel Corporation, all rights reserved. 14 // Third party copyrights are property of their respective owners. 15 // 16 // Redistribution and use in source and binary forms, with or without modification, 17 // are permitted provided that the following conditions are met: 18 // 19 // * Redistribution's of source code must retain the above copyright notice, 20 // this list of conditions and the following disclaimer. 21 // 22 // * Redistribution's in binary form must reproduce the above copyright notice, 23 // this list of conditions and the following disclaimer in the documentation 24 // and/or other materials provided with the distribution. 25 // 26 // * The name of Intel Corporation may not be used to endorse or promote products 27 // derived from this software without specific prior written permission. 28 // 29 // This software is provided by the copyright holders and contributors "as is" and 30 // any express or implied warranties, including, but not limited to, the implied 31 // warranties of merchantability and fitness for a particular purpose are disclaimed. 32 // In no event shall the Intel Corporation or contributors be liable for any direct, 33 // indirect, incidental, special, exemplary, or consequential damages 34 // (including, but not limited to, procurement of substitute goods or services; 35 // loss of use, data, or profits; or business interruption) however caused 36 // and on any theory of liability, whether in contract, strict liability, 37 // or tort (including negligence or otherwise) arising in any way out of 38 // the use of this software, even if advised of the possibility of such damage. 39 // 40 //M*/ 41 42 #include "test_precomp.hpp" 43 #include "opencv2/highgui.hpp" 44 #include "opencv2/core/core_c.h" 45 46 using namespace std; 47 using namespace cv; 48 49 const string FEATURES2D_DIR = "features2d"; 50 const string IMAGE_FILENAME = "tsukuba.png"; 51 52 /****************************************************************************************\ 53 * Test for KeyPoint * 54 \****************************************************************************************/ 55 56 class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest 57 { 58 public: 59 CV_FeatureDetectorKeypointsTest(const Ptr<FeatureDetector>& _detector) : 60 detector(_detector) {} 61 62 protected: 63 virtual void run(int) 64 { 65 CV_Assert(detector); 66 string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME; 67 68 // Read the test image. 69 Mat image = imread(imgFilename); 70 if(image.empty()) 71 { 72 ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str()); 73 ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); 74 return; 75 } 76 77 vector<KeyPoint> keypoints; 78 detector->detect(image, keypoints); 79 80 if(keypoints.empty()) 81 { 82 ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n"); 83 ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); 84 return; 85 } 86 87 Rect r(0, 0, image.cols, image.rows); 88 for(size_t i = 0; i < keypoints.size(); i++) 89 { 90 const KeyPoint& kp = keypoints[i]; 91 92 if(!r.contains(kp.pt)) 93 { 94 ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y); 95 ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); 96 return; 97 } 98 99 if(kp.size <= 0.f) 100 { 101 ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size); 102 ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); 103 return; 104 } 105 106 if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f) 107 { 108 ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle); 109 ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); 110 return; 111 } 112 } 113 ts->set_failed_test_info(cvtest::TS::OK); 114 } 115 116 Ptr<FeatureDetector> detector; 117 }; 118 119 120 // Registration of tests 121 122 TEST(Features2d_Detector_Keypoints_BRISK, validation) 123 { 124 CV_FeatureDetectorKeypointsTest test(BRISK::create()); 125 test.safe_run(); 126 } 127 128 TEST(Features2d_Detector_Keypoints_FAST, validation) 129 { 130 CV_FeatureDetectorKeypointsTest test(FastFeatureDetector::create()); 131 test.safe_run(); 132 } 133 134 TEST(Features2d_Detector_Keypoints_AGAST, validation) 135 { 136 CV_FeatureDetectorKeypointsTest test(AgastFeatureDetector::create()); 137 test.safe_run(); 138 } 139 140 TEST(Features2d_Detector_Keypoints_HARRIS, validation) 141 { 142 143 CV_FeatureDetectorKeypointsTest test(GFTTDetector::create(1000, 0.01, 1, 3, true, 0.04)); 144 test.safe_run(); 145 } 146 147 TEST(Features2d_Detector_Keypoints_GFTT, validation) 148 { 149 Ptr<GFTTDetector> gftt = GFTTDetector::create(); 150 gftt->setHarrisDetector(true); 151 CV_FeatureDetectorKeypointsTest test(gftt); 152 test.safe_run(); 153 } 154 155 TEST(Features2d_Detector_Keypoints_MSER, validation) 156 { 157 CV_FeatureDetectorKeypointsTest test(MSER::create()); 158 test.safe_run(); 159 } 160 161 TEST(Features2d_Detector_Keypoints_ORB, validation) 162 { 163 CV_FeatureDetectorKeypointsTest test(ORB::create()); 164 test.safe_run(); 165 } 166 167 TEST(Features2d_Detector_Keypoints_KAZE, validation) 168 { 169 CV_FeatureDetectorKeypointsTest test(KAZE::create()); 170 test.safe_run(); 171 } 172 173 TEST(Features2d_Detector_Keypoints_AKAZE, validation) 174 { 175 CV_FeatureDetectorKeypointsTest test_kaze(AKAZE::create(AKAZE::DESCRIPTOR_KAZE)); 176 test_kaze.safe_run(); 177 178 CV_FeatureDetectorKeypointsTest test_mldb(AKAZE::create(AKAZE::DESCRIPTOR_MLDB)); 179 test_mldb.safe_run(); 180 } 181
