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Open Source Computer Vision Library
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126 lines
4.2 KiB
126 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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namespace opencv_test { namespace { |
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TEST(Features2D_ORB, _1996) |
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{ |
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Ptr<FeatureDetector> fd = ORB::create(10000, 1.2f, 8, 31, 0, 2, ORB::HARRIS_SCORE, 31, 20); |
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Ptr<DescriptorExtractor> de = fd; |
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Mat image = imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/lena.png"); |
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ASSERT_FALSE(image.empty()); |
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Mat roi(image.size(), CV_8UC1, Scalar(0)); |
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Point poly[] = {Point(100, 20), Point(300, 50), Point(400, 200), Point(10, 500)}; |
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fillConvexPoly(roi, poly, int(sizeof(poly) / sizeof(poly[0])), Scalar(255)); |
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std::vector<KeyPoint> keypoints; |
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fd->detect(image, keypoints, roi); |
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Mat descriptors; |
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de->compute(image, keypoints, descriptors); |
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//image.setTo(Scalar(255,255,255), roi); |
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int roiViolations = 0; |
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for(std::vector<KeyPoint>::const_iterator kp = keypoints.begin(); kp != keypoints.end(); ++kp) |
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{ |
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int x = cvRound(kp->pt.x); |
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int y = cvRound(kp->pt.y); |
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ASSERT_LE(0, x); |
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ASSERT_LE(0, y); |
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ASSERT_GT(image.cols, x); |
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ASSERT_GT(image.rows, y); |
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// if (!roi.at<uchar>(y,x)) |
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// { |
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// roiViolations++; |
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// circle(image, kp->pt, 3, Scalar(0,0,255)); |
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// } |
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} |
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// if(roiViolations) |
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// { |
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// imshow("img", image); |
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// waitKey(); |
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// } |
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ASSERT_EQ(0, roiViolations); |
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} |
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TEST(Features2D_ORB, crash) |
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{ |
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cv::Mat image = cv::Mat::zeros(cv::Size(1920, 1080), CV_8UC3); |
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int nfeatures = 8000; |
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float orbScaleFactor = 1.2f; |
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int nlevels = 18; |
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int edgeThreshold = 4; |
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int firstLevel = 0; |
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int WTA_K = 2; |
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int scoreType = cv::ORB::HARRIS_SCORE; |
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int patchSize = 47; |
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int fastThreshold = 20; |
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Ptr<ORB> orb = cv::ORB::create(nfeatures, orbScaleFactor, nlevels, edgeThreshold, firstLevel, WTA_K, scoreType, patchSize, fastThreshold); |
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std::vector<cv::KeyPoint> keypoints; |
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cv::Mat descriptors; |
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cv::KeyPoint kp; |
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kp.pt.x = 443; |
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kp.pt.y = 5; |
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kp.size = 47; |
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kp.angle = 53.4580612f; |
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kp.response = 0.0000470733867f; |
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kp.octave = 0; |
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kp.class_id = -1; |
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keypoints.push_back(kp); |
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ASSERT_NO_THROW(orb->compute(image, keypoints, descriptors)); |
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} |
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}} // namespace
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