48 lines
1.6 KiB
C++
48 lines
1.6 KiB
C++
// 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_AKAZE, detect_and_compute_split)
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{
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Mat testImg(100, 100, CV_8U);
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RNG rng(101);
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rng.fill(testImg, RNG::UNIFORM, Scalar(0), Scalar(255), true);
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Ptr<Feature2D> ext = AKAZE::create(AKAZE::DESCRIPTOR_MLDB, 0, 3, 0.001f, 1, 1, KAZE::DIFF_PM_G2);
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vector<KeyPoint> detAndCompKps;
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Mat desc;
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ext->detectAndCompute(testImg, noArray(), detAndCompKps, desc);
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vector<KeyPoint> detKps;
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ext->detect(testImg, detKps);
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ASSERT_EQ(detKps.size(), detAndCompKps.size());
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for(size_t i = 0; i < detKps.size(); i++)
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ASSERT_EQ(detKps[i].hash(), detAndCompKps[i].hash());
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}
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/**
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* This test is here to guard propagation of NaNs that happens on this image. NaNs are guarded
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* by debug asserts in AKAZE, which should fire for you if you are lucky.
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*
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* This test also reveals problems with uninitialized memory that happens only on this image.
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* This is very hard to hit and depends a lot on particular allocator. Run this test in valgrind and check
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* for uninitialized values if you think you are hitting this problem again.
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*/
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TEST(Features2d_AKAZE, uninitialized_and_nans)
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{
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Mat b1 = imread(cvtest::TS::ptr()->get_data_path() + "../stitching/b1.png");
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ASSERT_FALSE(b1.empty());
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vector<KeyPoint> keypoints;
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Mat desc;
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Ptr<Feature2D> akaze = AKAZE::create();
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akaze->detectAndCompute(b1, noArray(), keypoints, desc);
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}
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}} // namespace
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