opencv/modules/ocl/perf/perf_brief.cpp

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#include "perf_precomp.hpp"

using namespace std;
using namespace cv;
using namespace ocl;
using namespace perf;

///////////// BRIEF ////////////////////////

typedef TestBaseWithParam<std::tr1::tuple<std::string, int> > OCL_BRIEF;

#define BRIEF_IMAGES \
    "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
    "stitching/a3.png"

PERF_TEST_P( OCL_BRIEF, extract, testing::Combine( testing::Values( BRIEF_IMAGES ), testing::Values( 16, 32, 64 ) ) )
{
    const int threshold = 20;
    const std::string filename = std::tr1::get<0>(GetParam( ));
    const int bytes = std::tr1::get<1>(GetParam( ));
    const Mat img = imread( getDataPath( filename ), IMREAD_GRAYSCALE );
    ASSERT_FALSE( img.empty( ) );

    if ( RUN_OCL_IMPL )
    {
        oclMat d_img( img );
        oclMat d_keypoints;
        FAST_OCL fast( threshold );
        fast( d_img, oclMat( ), d_keypoints );

        BRIEF_OCL brief( bytes );

        OCL_TEST_CYCLE( )
        {
            oclMat d_descriptors;
            brief.compute( d_img, d_keypoints, d_descriptors );
        }

        std::vector<KeyPoint> ocl_keypoints;
        fast.downloadKeypoints( d_keypoints, ocl_keypoints );
        SANITY_CHECK_KEYPOINTS( ocl_keypoints );
    }
    else if ( RUN_PLAIN_IMPL )
    {
        std::vector<KeyPoint> keypoints;
        FAST( img, keypoints, threshold );

        BriefDescriptorExtractor brief( bytes );

        TEST_CYCLE( )
        {
            Mat descriptors;
            brief.compute( img, keypoints, descriptors );
        }

        SANITY_CHECK_KEYPOINTS( keypoints );
    }
    else
        OCL_PERF_ELSE;
}