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2c4bbb313c
Conflicts: cmake/OpenCVConfig.cmake cmake/OpenCVLegacyOptions.cmake modules/contrib/src/retina.cpp modules/gpu/doc/camera_calibration_and_3d_reconstruction.rst modules/gpu/doc/video.rst modules/gpu/src/speckle_filtering.cpp modules/python/src2/cv2.cv.hpp modules/python/test/test2.py samples/python/watershed.py
96 lines
3.4 KiB
C++
96 lines
3.4 KiB
C++
/*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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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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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using namespace std;
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using namespace cv;
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class CV_BRISKTest : public cvtest::BaseTest
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{
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public:
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CV_BRISKTest();
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~CV_BRISKTest();
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protected:
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void run(int);
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};
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CV_BRISKTest::CV_BRISKTest() {}
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CV_BRISKTest::~CV_BRISKTest() {}
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void CV_BRISKTest::run( int )
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{
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Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.png");
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Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.png");
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if (image1.empty() || image2.empty())
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{
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ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
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return;
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}
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Mat gray1, gray2;
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cvtColor(image1, gray1, COLOR_BGR2GRAY);
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cvtColor(image2, gray2, COLOR_BGR2GRAY);
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Ptr<FeatureDetector> detector = Algorithm::create<FeatureDetector>("Feature2D.BRISK");
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vector<KeyPoint> keypoints1;
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vector<KeyPoint> keypoints2;
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detector->detect(image1, keypoints1);
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detector->detect(image2, keypoints2);
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for(size_t i = 0; i < keypoints1.size(); ++i)
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{
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const KeyPoint& kp = keypoints1[i];
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ASSERT_NE(kp.angle, -1);
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}
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for(size_t i = 0; i < keypoints2.size(); ++i)
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{
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const KeyPoint& kp = keypoints2[i];
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ASSERT_NE(kp.angle, -1);
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}
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}
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TEST(Features2d_BRISK, regression) { CV_BRISKTest test; test.safe_run(); }
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