add bruteForceMatcher to ocl module

modules/ocl/test/test_brute_force_matcher.cpp

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+
+#include "precomp.hpp"
+
+namespace {
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+// BruteForceMatcher
+
+CV_ENUM(DistType, cv::ocl::BruteForceMatcher_OCL_base::L1Dist, cv::ocl::BruteForceMatcher_OCL_base::L2Dist, cv::ocl::BruteForceMatcher_OCL_base::HammingDist)
+IMPLEMENT_PARAM_CLASS(DescriptorSize, int)
+
+PARAM_TEST_CASE(BruteForceMatcher/*, NormCode*/, DistType, DescriptorSize)
+{
+	//std::vector<cv::ocl::Info> oclinfo;
+    cv::ocl::BruteForceMatcher_OCL_base::DistType distType;
+	int normCode;
+    int dim;
+
+    int queryDescCount;
+    int countFactor;
+
+    cv::Mat query, train;
+
+    virtual void SetUp()
+    {
+        //normCode = GET_PARAM(0);
+        distType = (cv::ocl::BruteForceMatcher_OCL_base::DistType)(int)GET_PARAM(0);
+        dim = GET_PARAM(1);
+
+        //int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
+        //CV_Assert(devnums > 0);
+
+        queryDescCount = 300; // must be even number because we split train data in some cases in two
+        countFactor = 4; // do not change it
+
+        cv::RNG& rng = cvtest::TS::ptr()->get_rng();
+
+        cv::Mat queryBuf, trainBuf;
+
+        // Generate query descriptors randomly.
+        // Descriptor vector elements are integer values.
+        queryBuf.create(queryDescCount, dim, CV_32SC1);
+        rng.fill(queryBuf, cv::RNG::UNIFORM, cv::Scalar::all(0), cv::Scalar::all(3));
+        queryBuf.convertTo(queryBuf, CV_32FC1);
+
+        // Generate train decriptors as follows:
+        // copy each query descriptor to train set countFactor times
+        // and perturb some one element of the copied descriptors in
+        // in ascending order. General boundaries of the perturbation
+        // are (0.f, 1.f).
+        trainBuf.create(queryDescCount * countFactor, dim, CV_32FC1);
+        float step = 1.f / countFactor;
+        for (int qIdx = 0; qIdx < queryDescCount; qIdx++)
+        {
+            cv::Mat queryDescriptor = queryBuf.row(qIdx);
+            for (int c = 0; c < countFactor; c++)
+            {
+                int tIdx = qIdx * countFactor + c;
+                cv::Mat trainDescriptor = trainBuf.row(tIdx);
+                queryDescriptor.copyTo(trainDescriptor);
+                int elem = rng(dim);
+                float diff = rng.uniform(step * c, step * (c + 1));
+                trainDescriptor.at<float>(0, elem) += diff;
+            }
+        }
+
+        queryBuf.convertTo(query, CV_32F);
+        trainBuf.convertTo(train, CV_32F);
+    }
+};
+
+TEST_P(BruteForceMatcher, Match_Single)
+{
+    cv::ocl::BruteForceMatcher_OCL_base matcher(distType);
+
+   std::vector<cv::DMatch> matches;
+	matcher.match(cv::ocl::oclMat(query),  cv::ocl::oclMat(train),  matches);
+
+    ASSERT_EQ(static_cast<size_t>(queryDescCount), matches.size());
+
+    int badCount = 0;
+    for (size_t i = 0; i < matches.size(); i++)
+    {
+        cv::DMatch match = matches[i];
+        if ((match.queryIdx != (int)i) || (match.trainIdx != (int)i * countFactor) || (match.imgIdx != 0))
+            badCount++;
+    }
+
+    ASSERT_EQ(0, badCount);
+}
+
+TEST_P(BruteForceMatcher, KnnMatch_2_Single)
+{
+    const int knn = 2;
+
+    cv::ocl::BruteForceMatcher_OCL_base matcher(distType);
+
+    std::vector< std::vector<cv::DMatch> > matches;
+	matcher.knnMatch(cv::ocl::oclMat(query), cv::ocl::oclMat(train), matches, knn);
+
+    ASSERT_EQ(static_cast<size_t>(queryDescCount), matches.size());
+
+    int badCount = 0;
+    for (size_t i = 0; i < matches.size(); i++)
+    {
+        if ((int)matches[i].size() != knn)
+            badCount++;
+        else
+        {
+            int localBadCount = 0;
+            for (int k = 0; k < knn; k++)
+            {
+                cv::DMatch match = matches[i][k];
+                if ((match.queryIdx != (int)i) || (match.trainIdx != (int)i * countFactor + k) || (match.imgIdx != 0))
+                    localBadCount++;
+            }
+            badCount += localBadCount > 0 ? 1 : 0;
+        }
+    }
+
+    ASSERT_EQ(0, badCount);
+}
+
+TEST_P(BruteForceMatcher, RadiusMatch_Single)
+{
+    float radius;
+	if(distType == cv::ocl::BruteForceMatcher_OCL_base::L2Dist)
+		radius = 1.f / countFactor /countFactor;
+	else
+		radius = 1.f / countFactor;
+
+    cv::ocl::BruteForceMatcher_OCL_base matcher(distType);
+
+	// assume support atomic.
+    //if (!supportFeature(devInfo, cv::gpu::GLOBAL_ATOMICS))
+    //{
+    //    try
+    //    {
+    //        std::vector< std::vector<cv::DMatch> > matches;
+    //        matcher.radiusMatch(loadMat(query), loadMat(train), matches, radius);
+    //    }
+    //    catch (const cv::Exception& e)
+    //    {
+    //        ASSERT_EQ(CV_StsNotImplemented, e.code);
+    //    }
+    //}
+    //else
+    {
+        std::vector< std::vector<cv::DMatch> > matches;
+		matcher.radiusMatch(cv::ocl::oclMat(query), cv::ocl::oclMat(train), matches, radius);
+
+        ASSERT_EQ(static_cast<size_t>(queryDescCount), matches.size());
+
+        int badCount = 0;
+        for (size_t i = 0; i < matches.size(); i++)
+        {
+            if ((int)matches[i].size() != 1)
+			{
+				badCount++;
+			}
+            else
+            {
+                cv::DMatch match = matches[i][0];
+                if ((match.queryIdx != (int)i) || (match.trainIdx != (int)i*countFactor) || (match.imgIdx != 0))
+                    badCount++;
+            }
+        }
+
+        ASSERT_EQ(0, badCount);
+    }
+}
+
+INSTANTIATE_TEST_CASE_P(GPU_Features2D, BruteForceMatcher, testing::Combine(
+    //ALL_DEVICES,
+    testing::Values(DistType(cv::ocl::BruteForceMatcher_OCL_base::L1Dist), DistType(cv::ocl::BruteForceMatcher_OCL_base::L2Dist)),
+    testing::Values(DescriptorSize(57), DescriptorSize(64), DescriptorSize(83), DescriptorSize(128), DescriptorSize(179), DescriptorSize(256), DescriptorSize(304))));
+
+} // namespace
+