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Open Source Computer Vision Library
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47 lines
1.6 KiB
47 lines
1.6 KiB
// 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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using namespace std; |
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using namespace cv; |
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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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