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/*M///////////////////////////////////////////////////////////////////////////////////////
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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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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// Intel License Agreement
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// For Open Source Computer Vision Library
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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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// 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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// * 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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// * 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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// * 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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// This software is provided by the copyright holders and contributors "as is" and
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// loss of use, data, or profits; or business interruption) however caused
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#include "test_precomp.hpp"
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TEST(Features2D_ORB, _1996)
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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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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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int x = cvRound(kp->pt.x);
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int y = cvRound(kp->pt.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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// circle(image, kp->pt, 3, Scalar(0,0,255));
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// imshow("img", image);
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ASSERT_EQ(0, roiViolations);