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Open Source Computer Vision Library
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101 lines
4.2 KiB
101 lines
4.2 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// Intel License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000, Intel Corporation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of Intel Corporation may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "test_precomp.hpp" |
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#include "opencv2/opencv_modules.hpp" |
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using namespace cv; |
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using namespace std; |
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#ifdef HAVE_OPENCV_XFEATURES2D |
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TEST(SurfFeaturesFinder, CanFindInROIs) |
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{ |
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Ptr<detail::FeaturesFinder> finder = makePtr<detail::SurfFeaturesFinder>(); |
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Mat img = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png"); |
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vector<Rect> rois; |
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rois.push_back(Rect(0, 0, img.cols / 2, img.rows / 2)); |
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rois.push_back(Rect(img.cols / 2, img.rows / 2, img.cols - img.cols / 2, img.rows - img.rows / 2)); |
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detail::ImageFeatures roi_features; |
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(*finder)(img, roi_features, rois); |
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int tl_rect_count = 0, br_rect_count = 0, bad_count = 0; |
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for (size_t i = 0; i < roi_features.keypoints.size(); ++i) |
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{ |
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Point2f pt = roi_features.keypoints[i].pt; |
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if (pt.x >= rois[0].x && pt.y >= rois[0].y && pt.x <= rois[0].br().x && pt.y <= rois[0].br().y) |
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tl_rect_count++; |
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else if (pt.x >= rois[1].x && pt.y >= rois[1].y && pt.x <= rois[1].br().x && pt.y <= rois[1].br().y) |
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br_rect_count++; |
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else |
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bad_count++; |
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} |
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ASSERT_GT(tl_rect_count, 0); |
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ASSERT_GT(br_rect_count, 0); |
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ASSERT_EQ(bad_count, 0); |
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} |
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#endif // HAVE_OPENCV_XFEATURES2D |
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TEST(ParallelFeaturesFinder, IsSameWithSerial) |
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{ |
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Ptr<detail::FeaturesFinder> para_finder = makePtr<detail::OrbFeaturesFinder>(); |
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Ptr<detail::FeaturesFinder> serial_finder = makePtr<detail::OrbFeaturesFinder>(); |
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Mat img = imread(string(cvtest::TS::ptr()->get_data_path()) + "stitching/a3.png", IMREAD_GRAYSCALE); |
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vector<Mat> imgs(50, img); |
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detail::ImageFeatures serial_features; |
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vector<detail::ImageFeatures> para_features(imgs.size()); |
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(*serial_finder)(img, serial_features); |
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(*para_finder)(imgs, para_features); |
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// results must be the same |
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for(size_t i = 0; i < para_features.size(); ++i) |
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{ |
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Mat diff_descriptors = serial_features.descriptors.getMat(ACCESS_READ) != para_features[i].descriptors.getMat(ACCESS_READ); |
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ASSERT_EQ(countNonZero(diff_descriptors), 0); |
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ASSERT_EQ(serial_features.img_size, para_features[i].img_size); |
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ASSERT_EQ(serial_features.keypoints.size(), para_features[i].keypoints.size()); |
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} |
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}
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