chore: import upstream snapshot with attribution

2026-07-13 12:06:04 +08:00
commit 86c9b1c39f
7743 changed files with 3316339 additions and 0 deletions
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+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+//
+// Copyright (C) 2026, Advanced Micro Devices, Inc., all rights reserved.
+
+// Brute-force descriptor matching perf tests. These exercise the core distance
+// kernels (hal::normL2Sqr_ / normL1_ / normHamming via cv::batchDistance) that
+// back BFMatcher, which is how float descriptors (SIFT 128-d, SURF 64-d) and
+// binary descriptors (ORB 32-byte) are matched.
+
+#include "perf_precomp.hpp"
+
+namespace opencv_test
+{
+using namespace perf;
+
+// (descriptor dimension, query/train descriptor count)
+typedef tuple<int, int> Dim_Count_t;
+typedef TestBaseWithParam<Dim_Count_t> DescriptorMatcherFixture;
+
+// Float descriptors matched with L2 (SIFT=128, SURF=64) — uses hal::normL2Sqr_.
+PERF_TEST_P(DescriptorMatcherFixture, bfmatch_knn_L2_float,
+            testing::Combine(
+                testing::Values(64, 128),       // SURF, SIFT descriptor sizes
+                testing::Values(512, 1000)
+            ))
+{
+    const int dim   = get<0>(GetParam());
+    const int count = get<1>(GetParam());
+
+    Mat query(count, dim, CV_32F);
+    Mat train(count, dim, CV_32F);
+    declare.in(query, train, WARMUP_RNG);
+    declare.time(60);
+
+    BFMatcher matcher(NORM_L2, false);
+    std::vector<std::vector<DMatch> > matches;
+
+    TEST_CYCLE() matcher.knnMatch(query, train, matches, 2);
+
+    SANITY_CHECK_NOTHING();
+}
+
+// Float descriptors matched with L1 — uses hal::normL1_.
+PERF_TEST_P(DescriptorMatcherFixture, bfmatch_knn_L1_float,
+            testing::Combine(
+                testing::Values(64, 128),
+                testing::Values(512, 1000)
+            ))
+{
+    const int dim   = get<0>(GetParam());
+    const int count = get<1>(GetParam());
+
+    Mat query(count, dim, CV_32F);
+    Mat train(count, dim, CV_32F);
+    declare.in(query, train, WARMUP_RNG);
+    declare.time(60);
+
+    BFMatcher matcher(NORM_L1, false);
+    std::vector<std::vector<DMatch> > matches;
+
+    TEST_CYCLE() matcher.knnMatch(query, train, matches, 2);
+
+    SANITY_CHECK_NOTHING();
+}
+
+// Binary descriptors matched with Hamming (ORB/BRISK=32 bytes) — uses hal::normHamming.
+PERF_TEST_P(DescriptorMatcherFixture, bfmatch_knn_Hamming_binary,
+            testing::Combine(
+                testing::Values(32, 64),        // ORB (32), BRISK/FREAK (64) byte sizes
+                testing::Values(512, 1000)
+            ))
+{
+    const int bytes = get<0>(GetParam());
+    const int count = get<1>(GetParam());
+
+    Mat query(count, bytes, CV_8U);
+    Mat train(count, bytes, CV_8U);
+    declare.in(query, train, WARMUP_RNG);
+    declare.time(60);
+
+    BFMatcher matcher(NORM_HAMMING, false);
+    std::vector<std::vector<DMatch> > matches;
+
+    TEST_CYCLE() matcher.knnMatch(query, train, matches, 2);
+
+    SANITY_CHECK_NOTHING();
+}
+
+} // namespace