/*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/opencv_modules.hpp" #ifdef HAVE_OPENCV_XFEATURES2D using namespace cv; using namespace std; TEST(SurfFeaturesFinder, CanFindInROIs) { Ptr<detail::FeaturesFinder> finder = makePtr<detail::SurfFeaturesFinder>(); Mat img = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png"); vector<Rect> rois; rois.push_back(Rect(0, 0, img.cols / 2, img.rows / 2)); rois.push_back(Rect(img.cols / 2, img.rows / 2, img.cols - img.cols / 2, img.rows - img.rows / 2)); detail::ImageFeatures roi_features; (*finder)(img, roi_features, rois); int tl_rect_count = 0, br_rect_count = 0, bad_count = 0; for (size_t i = 0; i < roi_features.keypoints.size(); ++i) { Point2f pt = roi_features.keypoints[i].pt; if (pt.x >= rois[0].x && pt.y >= rois[0].y && pt.x <= rois[0].br().x && pt.y <= rois[0].br().y) tl_rect_count++; else if (pt.x >= rois[1].x && pt.y >= rois[1].y && pt.x <= rois[1].br().x && pt.y <= rois[1].br().y) br_rect_count++; else bad_count++; } ASSERT_GT(tl_rect_count, 0); ASSERT_GT(br_rect_count, 0); ASSERT_EQ(bad_count, 0); } #endif