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Merge pull request #26405 from kaingwade:rename_features2d
Rename features2d #26405 This PR renames the module _features2d_ to _features_ as one of the Big OpenCV Cleanup #25007. Related PR: opencv/opencv_contrib: [#3820](https://github.com/opencv/opencv_contrib/pull/3820) opencv/ci-gha-workflow: [#192](https://github.com/opencv/ci-gha-workflow/pull/192)
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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TEST(Features2D_KeypointUtils, retainBest_issue_12594)
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{
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const size_t N = 9;
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// Construct 4-way tie for 3rd highest - correct answer for "3 best" is 6
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const float no_problem[] = { 5.0f, 4.0f, 1.0f, 2.0f, 0.0f, 3.0f, 3.0f, 3.0f, 3.0f };
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// Same set, different order that exposes partial sort property of std::nth_element
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// Note: the problem case may depend on your particular implementation of STL
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const float problem[] = { 3.0f, 3.0f, 3.0f, 3.0f, 4.0f, 5.0f, 0.0f, 1.0f, 2.0f };
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const size_t NBEST = 3u;
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const size_t ANSWER = 6u;
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std::vector<cv::KeyPoint> sorted_cv(N);
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std::vector<cv::KeyPoint> unsorted_cv(N);
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for (size_t i = 0; i < N; ++i)
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{
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sorted_cv[i].response = no_problem[i];
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unsorted_cv[i].response = problem[i];
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}
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cv::KeyPointsFilter::retainBest(sorted_cv, NBEST);
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cv::KeyPointsFilter::retainBest(unsorted_cv, NBEST);
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EXPECT_EQ(ANSWER, sorted_cv.size());
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EXPECT_EQ(ANSWER, unsorted_cv.size());
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}
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}} // namespace
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