wehub-resource-sync
92 lines
2.8 KiB
C++
92 lines
2.8 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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//
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// Copyright (C) 2026, Advanced Micro Devices, Inc., all rights reserved.
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// Brute-force descriptor matching perf tests. These exercise the core distance
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// kernels (hal::normL2Sqr_ / normL1_ / normHamming via cv::batchDistance) that
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// back BFMatcher, which is how float descriptors (SIFT 128-d, SURF 64-d) and
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// binary descriptors (ORB 32-byte) are matched.
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#include "perf_precomp.hpp"
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namespace opencv_test
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{
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using namespace perf;
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// (descriptor dimension, query/train descriptor count)
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typedef tuple<int, int> Dim_Count_t;
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typedef TestBaseWithParam<Dim_Count_t> DescriptorMatcherFixture;
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// Float descriptors matched with L2 (SIFT=128, SURF=64) — uses hal::normL2Sqr_.
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PERF_TEST_P(DescriptorMatcherFixture, bfmatch_knn_L2_float,
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testing::Combine(
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testing::Values(64, 128), // SURF, SIFT descriptor sizes
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testing::Values(512, 1000)
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))
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{
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const int dim = get<0>(GetParam());
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const int count = get<1>(GetParam());
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Mat query(count, dim, CV_32F);
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Mat train(count, dim, CV_32F);
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declare.in(query, train, WARMUP_RNG);
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declare.time(60);
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BFMatcher matcher(NORM_L2, false);
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std::vector<std::vector<DMatch> > matches;
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TEST_CYCLE() matcher.knnMatch(query, train, matches, 2);
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SANITY_CHECK_NOTHING();
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}
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// Float descriptors matched with L1 — uses hal::normL1_.
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PERF_TEST_P(DescriptorMatcherFixture, bfmatch_knn_L1_float,
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testing::Combine(
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testing::Values(64, 128),
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testing::Values(512, 1000)
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))
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{
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const int dim = get<0>(GetParam());
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const int count = get<1>(GetParam());
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Mat query(count, dim, CV_32F);
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Mat train(count, dim, CV_32F);
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declare.in(query, train, WARMUP_RNG);
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declare.time(60);
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BFMatcher matcher(NORM_L1, false);
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std::vector<std::vector<DMatch> > matches;
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TEST_CYCLE() matcher.knnMatch(query, train, matches, 2);
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SANITY_CHECK_NOTHING();
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}
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// Binary descriptors matched with Hamming (ORB/BRISK=32 bytes) — uses hal::normHamming.
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PERF_TEST_P(DescriptorMatcherFixture, bfmatch_knn_Hamming_binary,
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testing::Combine(
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testing::Values(32, 64), // ORB (32), BRISK/FREAK (64) byte sizes
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testing::Values(512, 1000)
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))
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{
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const int bytes = get<0>(GetParam());
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const int count = get<1>(GetParam());
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Mat query(count, bytes, CV_8U);
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Mat train(count, bytes, CV_8U);
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declare.in(query, train, WARMUP_RNG);
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declare.time(60);
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BFMatcher matcher(NORM_HAMMING, false);
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std::vector<std::vector<DMatch> > matches;
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TEST_CYCLE() matcher.knnMatch(query, train, matches, 2);
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SANITY_CHECK_NOTHING();
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}
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} // namespace
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