/*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. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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" #include "opencv2/core/core_c.h" namespace opencv_test { namespace { const string FEATURES2D_DIR = "features2d"; const string IMAGE_FILENAME = "tsukuba.png"; /****************************************************************************************\ * Test for KeyPoint * \****************************************************************************************/ class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest { public: CV_FeatureDetectorKeypointsTest(const Ptr& _detector) : detector(_detector) {} protected: virtual void run(int) { CV_Assert(detector); string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME; // Read the test image. Mat image = imread(imgFilename); if(image.empty()) { ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str()); ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA); return; } vector keypoints; detector->detect(image, keypoints); if(keypoints.empty()) { ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n"); ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); return; } Rect r(0, 0, image.cols, image.rows); for(size_t i = 0; i < keypoints.size(); i++) { const KeyPoint& kp = keypoints[i]; if(!r.contains(kp.pt)) { ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y); ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); return; } if(kp.size <= 0.f) { ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size); ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); return; } if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f) { ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle); ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); return; } } ts->set_failed_test_info(cvtest::TS::OK); } Ptr detector; }; // Registration of tests TEST(Features2d_Detector_Keypoints_BRISK, validation) { CV_FeatureDetectorKeypointsTest test(BRISK::create()); test.safe_run(); } TEST(Features2d_Detector_Keypoints_FAST, validation) { CV_FeatureDetectorKeypointsTest test(FastFeatureDetector::create()); test.safe_run(); } TEST(Features2d_Detector_Keypoints_AGAST, validation) { CV_FeatureDetectorKeypointsTest test(AgastFeatureDetector::create()); test.safe_run(); } TEST(Features2d_Detector_Keypoints_HARRIS, validation) { CV_FeatureDetectorKeypointsTest test(GFTTDetector::create(1000, 0.01, 1, 3, 3, true, 0.04)); test.safe_run(); } TEST(Features2d_Detector_Keypoints_GFTT, validation) { Ptr gftt = GFTTDetector::create(); gftt->setHarrisDetector(true); CV_FeatureDetectorKeypointsTest test(gftt); test.safe_run(); } TEST(Features2d_Detector_Keypoints_MSER, validation) { CV_FeatureDetectorKeypointsTest test(MSER::create()); test.safe_run(); } TEST(Features2d_Detector_Keypoints_ORB, validation) { CV_FeatureDetectorKeypointsTest test(ORB::create()); test.safe_run(); } TEST(Features2d_Detector_Keypoints_KAZE, validation) { CV_FeatureDetectorKeypointsTest test(KAZE::create()); test.safe_run(); } TEST(Features2d_Detector_Keypoints_AKAZE, validation) { CV_FeatureDetectorKeypointsTest test_kaze(AKAZE::create(AKAZE::DESCRIPTOR_KAZE)); test_kaze.safe_run(); CV_FeatureDetectorKeypointsTest test_mldb(AKAZE::create(AKAZE::DESCRIPTOR_MLDB)); test_mldb.safe_run(); } }} // namespace