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) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// 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_CUDA) && defined(OPENCV_ENABLE_NONFREE)
+
+namespace opencv_test { namespace {
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+// SURF
+
+#ifdef HAVE_OPENCV_CUDAARITHM
+
+namespace
+{
+    IMPLEMENT_PARAM_CLASS(SURF_HessianThreshold, double)
+    IMPLEMENT_PARAM_CLASS(SURF_Octaves, int)
+    IMPLEMENT_PARAM_CLASS(SURF_OctaveLayers, int)
+    IMPLEMENT_PARAM_CLASS(SURF_Extended, bool)
+    IMPLEMENT_PARAM_CLASS(SURF_Upright, bool)
+}
+
+PARAM_TEST_CASE(CUDA_SURF, SURF_HessianThreshold, SURF_Octaves, SURF_OctaveLayers, SURF_Extended, SURF_Upright)
+{
+    double hessianThreshold;
+    int nOctaves;
+    int nOctaveLayers;
+    bool extended;
+    bool upright;
+
+    virtual void SetUp()
+    {
+        hessianThreshold = GET_PARAM(0);
+        nOctaves = GET_PARAM(1);
+        nOctaveLayers = GET_PARAM(2);
+        extended = GET_PARAM(3);
+        upright = GET_PARAM(4);
+    }
+};
+
+CUDA_TEST_P(CUDA_SURF, Detector)
+{
+    cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
+    ASSERT_FALSE(image.empty());
+
+    cv::cuda::SURF_CUDA surf;
+    surf.hessianThreshold = hessianThreshold;
+    surf.nOctaves = nOctaves;
+    surf.nOctaveLayers = nOctaveLayers;
+    surf.extended = extended;
+    surf.upright = upright;
+    surf.keypointsRatio = 0.05f;
+
+    std::vector<cv::KeyPoint> keypoints;
+    surf(loadMat(image), cv::cuda::GpuMat(), keypoints);
+
+    cv::Ptr<cv::Feature2D> surf_gold = cv::xfeatures2d::SURF::create(hessianThreshold, nOctaves, nOctaveLayers, extended, upright);
+
+    std::vector<cv::KeyPoint> keypoints_gold;
+    surf_gold->detect(image, keypoints_gold);
+
+    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, 0.95);
+}
+
+CUDA_TEST_P(CUDA_SURF, Detector_Masked)
+{
+    cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
+    ASSERT_FALSE(image.empty());
+
+    cv::Mat mask(image.size(), CV_8UC1, cv::Scalar::all(1));
+    mask(cv::Range(0, image.rows / 2), cv::Range(0, image.cols / 2)).setTo(cv::Scalar::all(0));
+
+    cv::cuda::SURF_CUDA surf;
+    surf.hessianThreshold = hessianThreshold;
+    surf.nOctaves = nOctaves;
+    surf.nOctaveLayers = nOctaveLayers;
+    surf.extended = extended;
+    surf.upright = upright;
+    surf.keypointsRatio = 0.05f;
+
+    std::vector<cv::KeyPoint> keypoints;
+    surf(loadMat(image), loadMat(mask), keypoints);
+
+    cv::Ptr<cv::Feature2D> surf_gold = cv::xfeatures2d::SURF::create(hessianThreshold, nOctaves, nOctaveLayers, extended, upright);
+
+    std::vector<cv::KeyPoint> keypoints_gold;
+    surf_gold->detect(image, keypoints_gold, mask);
+
+    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, 0.95);
+}
+
+CUDA_TEST_P(CUDA_SURF, Descriptor)
+{
+    cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
+    ASSERT_FALSE(image.empty());
+
+    cv::cuda::SURF_CUDA surf;
+    surf.hessianThreshold = hessianThreshold;
+    surf.nOctaves = nOctaves;
+    surf.nOctaveLayers = nOctaveLayers;
+    surf.extended = extended;
+    surf.upright = upright;
+    surf.keypointsRatio = 0.05f;
+
+    cv::Ptr<cv::Feature2D> surf_gold = cv::xfeatures2d::SURF::create(hessianThreshold, nOctaves, nOctaveLayers, extended, upright);
+
+    std::vector<cv::KeyPoint> keypoints;
+    surf_gold->detect(image, keypoints);
+
+    cv::cuda::GpuMat descriptors;
+    surf(loadMat(image), cv::cuda::GpuMat(), keypoints, descriptors, true);
+
+    cv::Mat descriptors_gold;
+    surf_gold->compute(image, keypoints, descriptors_gold);
+
+    cv::BFMatcher matcher(surf.defaultNorm());
+    std::vector<cv::DMatch> matches;
+    matcher.match(descriptors_gold, cv::Mat(descriptors), matches);
+
+    int matchedCount = getMatchedPointsCount(keypoints, keypoints, matches);
+    double matchedRatio = static_cast<double>(matchedCount) / keypoints.size();
+
+    EXPECT_GT(matchedRatio, 0.6);
+}
+
+testing::internal::ValueArray3<SURF_HessianThreshold, SURF_HessianThreshold, SURF_HessianThreshold> thresholdValues =
+    testing::Values(
+            SURF_HessianThreshold(100.0),
+            SURF_HessianThreshold(500.0),
+            SURF_HessianThreshold(1000.0));
+
+INSTANTIATE_TEST_CASE_P(CUDA_Features2D, CUDA_SURF, testing::Combine(
+    thresholdValues,
+    testing::Values(SURF_Octaves(3), SURF_Octaves(4)),
+    testing::Values(SURF_OctaveLayers(2), SURF_OctaveLayers(3)),
+    testing::Values(SURF_Extended(false), SURF_Extended(true)),
+    testing::Values(SURF_Upright(false), SURF_Upright(true))));
+
+#endif // HAVE_OPENCV_CUDAARITHM
+
+}} // namespace
+#endif // HAVE_CUDA && OPENCV_ENABLE_NONFREE