opencv/modules/ocl/perf/perf_brute_force_matcher.cpp

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// @Authors
//    Fangfang Bai, fangfang@multicorewareinc.com
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#include "precomp.hpp"

//////////////////// BruteForceMatch /////////////////
TEST(BruteForceMatcher)
{
    Mat trainIdx_cpu;
    Mat distance_cpu;
    Mat allDist_cpu;
    Mat nMatches_cpu;

    for (int size = Min_Size; size <= Max_Size; size *= Multiple)
    {
        // Init CPU matcher
        int desc_len = 64;

        BFMatcher matcher(NORM_L2);

        Mat query;
        gen(query, size, desc_len, CV_32F, 0, 1);

        Mat train;
        gen(train, size, desc_len, CV_32F, 0, 1);
        // Output
        vector< vector<DMatch> > matches(2);
        // Init GPU matcher
        ocl::BruteForceMatcher_OCL_base d_matcher(ocl::BruteForceMatcher_OCL_base::L2Dist);

        ocl::oclMat d_query(query);
        ocl::oclMat d_train(train);

        ocl::oclMat d_trainIdx, d_distance, d_allDist, d_nMatches;

        SUBTEST << size << "; match";

        matcher.match(query, train, matches[0]);

        CPU_ON;
        matcher.match(query, train, matches[0]);
        CPU_OFF;

        WARMUP_ON;
        d_matcher.matchSingle(d_query, d_train, d_trainIdx, d_distance);
        WARMUP_OFF;

        GPU_ON;
        d_matcher.matchSingle(d_query, d_train, d_trainIdx, d_distance);
         ;
        GPU_OFF;

        GPU_FULL_ON;
        d_query.upload(query);
        d_train.upload(train);
        d_matcher.match(d_query, d_train, matches[0]);
        GPU_FULL_OFF;

        SUBTEST << size << "; knnMatch";

        matcher.knnMatch(query, train, matches, 2);

        CPU_ON;
        matcher.knnMatch(query, train, matches, 2);
        CPU_OFF;

        WARMUP_ON;
        d_matcher.knnMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_allDist, 2);
        WARMUP_OFF;

        GPU_ON;
        d_matcher.knnMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_allDist, 2);
         ;
        GPU_OFF;

        GPU_FULL_ON;
        d_query.upload(query);
        d_train.upload(train);
        d_matcher.knnMatch(d_query, d_train, matches, 2);
        GPU_FULL_OFF;

        SUBTEST << size << "; radiusMatch";

        float max_distance = 2.0f;

        matcher.radiusMatch(query, train, matches, max_distance);

        CPU_ON;
        matcher.radiusMatch(query, train, matches, max_distance);
        CPU_OFF;

        d_trainIdx.release();

        WARMUP_ON;
        d_matcher.radiusMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_nMatches, max_distance);
        WARMUP_OFF;

        GPU_ON;
        d_matcher.radiusMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_nMatches, max_distance);
         ;
        GPU_OFF;

        GPU_FULL_ON;
        d_query.upload(query);
        d_train.upload(train);
        d_matcher.radiusMatch(d_query, d_train, matches, max_distance);
        GPU_FULL_OFF;
    }
}