vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
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+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+//    Peng Xiao, pengxiao@multicorewareinc.com
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors as is and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "test_precomp.hpp"
+
+#if defined(HAVE_OPENCL) && defined(OPENCV_ENABLE_NONFREE)
+
+namespace opencv_test { namespace {
+
+static bool keyPointsEquals(const cv::KeyPoint& p1, const cv::KeyPoint& p2)
+{
+    const double maxPtDif = 0.1;
+    const double maxSizeDif = 0.1;
+    const double maxAngleDif = 0.1;
+    const double maxResponseDif = 0.01;
+
+    double dist = cv::norm(p1.pt - p2.pt);
+
+    if (dist < maxPtDif &&
+        fabs(p1.size - p2.size) < maxSizeDif &&
+        abs(p1.angle - p2.angle) < maxAngleDif &&
+        abs(p1.response - p2.response) < maxResponseDif &&
+        p1.octave == p2.octave &&
+        p1.class_id == p2.class_id)
+    {
+        return true;
+    }
+
+    return false;
+}
+
+static int getMatchedPointsCount(std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual)
+{
+    std::sort(actual.begin(), actual.end(), perf::comparators::KeypointGreater());
+    std::sort(gold.begin(), gold.end(), perf::comparators::KeypointGreater());
+
+    int validCount = 0;
+
+    if (actual.size() == gold.size())
+    {
+        for (size_t i = 0; i < gold.size(); ++i)
+        {
+            const cv::KeyPoint& p1 = gold[i];
+            const cv::KeyPoint& p2 = actual[i];
+
+            if (keyPointsEquals(p1, p2))
+                ++validCount;
+        }
+    }
+    else
+    {
+        std::vector<cv::KeyPoint>& shorter = gold;
+        std::vector<cv::KeyPoint>& longer = actual;
+        if (actual.size() < gold.size())
+        {
+            shorter = actual;
+            longer = gold;
+        }
+        for (size_t i = 0; i < shorter.size(); ++i)
+        {
+            const cv::KeyPoint& p1 = shorter[i];
+            const cv::KeyPoint& p2 = longer[i];
+            const cv::KeyPoint& p3 = longer[i+1];
+
+            if (keyPointsEquals(p1, p2) || keyPointsEquals(p1, p3))
+                ++validCount;
+        }
+    }
+
+    return validCount;
+}
+
+static int getMatchedPointsCount(const std::vector<cv::KeyPoint>& keypoints1, const std::vector<cv::KeyPoint>& keypoints2, const std::vector<cv::DMatch>& matches)
+{
+    int validCount = 0;
+
+    for (size_t i = 0; i < matches.size(); ++i)
+    {
+        const cv::DMatch& m = matches[i];
+
+        const cv::KeyPoint& p1 = keypoints1[m.queryIdx];
+        const cv::KeyPoint& p2 = keypoints2[m.trainIdx];
+
+        if (keyPointsEquals(p1, p2))
+            ++validCount;
+    }
+
+    return validCount;
+}
+
+IMPLEMENT_PARAM_CLASS(HessianThreshold, double)
+IMPLEMENT_PARAM_CLASS(Octaves, int)
+IMPLEMENT_PARAM_CLASS(OctaveLayers, int)
+IMPLEMENT_PARAM_CLASS(Extended, bool)
+IMPLEMENT_PARAM_CLASS(Upright, bool)
+
+PARAM_TEST_CASE(SURF, HessianThreshold, Octaves, OctaveLayers, Extended, Upright)
+{
+    bool useOpenCL;
+    double hessianThreshold;
+    int nOctaves;
+    int nOctaveLayers;
+    bool extended;
+    bool upright;
+
+    virtual void SetUp()
+    {
+        useOpenCL = cv::ocl::useOpenCL();
+        hessianThreshold = get<0>(GetParam());
+        nOctaves = get<1>(GetParam());
+        nOctaveLayers = get<2>(GetParam());
+        extended = get<3>(GetParam());
+        upright = get<4>(GetParam());
+    }
+
+    virtual void TearDown()
+    {
+        cv::ocl::setUseOpenCL(useOpenCL);
+    }
+};
+
+TEST_P(SURF, Detector)
+{
+    cv::UMat image;
+    cv::ocl::setUseOpenCL(true);
+    cv::imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/fruits.png", cv::IMREAD_GRAYSCALE).copyTo(image);
+    ASSERT_FALSE(image.empty());
+
+    cv::Ptr<cv::xfeatures2d::SURF> surf = cv::xfeatures2d::SURF::create(hessianThreshold, nOctaves, nOctaveLayers, extended, upright);
+    std::vector<cv::KeyPoint> keypoints;
+    surf->detect(image, keypoints, cv::noArray());
+
+    cv::ocl::setUseOpenCL(false);
+    std::vector<cv::KeyPoint> keypoints_gold;
+    surf->detect(image, keypoints_gold, cv::noArray());
+
+    int lengthDiff = abs((int)keypoints_gold.size()) - ((int)keypoints.size());
+    EXPECT_LE(lengthDiff, 1);
+    int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
+    double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
+
+    EXPECT_GT(matchedRatio, 0.99);
+}
+
+TEST_P(SURF, Descriptor)
+{
+    cv::UMat image;
+    cv::ocl::setUseOpenCL(true);
+    cv::imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/fruits.png", cv::IMREAD_GRAYSCALE).copyTo(image);
+    ASSERT_FALSE(image.empty());
+
+    cv::Ptr<cv::xfeatures2d::SURF> surf = cv::xfeatures2d::SURF::create(hessianThreshold, nOctaves, nOctaveLayers, extended, upright);
+
+    std::vector<cv::KeyPoint> keypoints;
+    surf->detect(image, keypoints, cv::noArray());
+
+    cv::UMat descriptors;
+
+    surf->detectAndCompute(image, cv::noArray(), keypoints, descriptors, true);
+
+    cv::ocl::setUseOpenCL(false);
+    cv::Mat descriptors_gold;
+    surf->detectAndCompute(image, cv::noArray(), keypoints, descriptors_gold, true);
+
+    cv::BFMatcher matcher(surf->defaultNorm());
+    std::vector<cv::DMatch> matches;
+    matcher.match(descriptors_gold, descriptors, matches);
+
+    int matchedCount = getMatchedPointsCount(keypoints, keypoints, matches);
+    double matchedRatio = static_cast<double>(matchedCount) / keypoints.size();
+
+    EXPECT_GT(matchedRatio, 0.35);
+}
+
+INSTANTIATE_TEST_CASE_P(OCL_Features2D, SURF, testing::Combine(
+    testing::Values(HessianThreshold(500.0), HessianThreshold(1000.0)),
+    testing::Values(Octaves(3), Octaves(4)),
+    testing::Values(OctaveLayers(2), OctaveLayers(3)),
+    testing::Values(Extended(false), Extended(true)),
+    testing::Values(Upright(false), Upright(true))));
+
+}} // namespace
+
+#endif // HAVE_OPENCL && OPENCV_ENABLE_NONFREE