opencv/modules/ocl/perf/perf_brief.cpp
2014-01-18 11:12:13 +01:00

114 lines
4.4 KiB
C++

/*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.
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//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// Authors:
// * Matthias Bady, aegirxx ==> gmail.com
//
//M*/
#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, size_t> > OCL_BRIEF;
PERF_TEST_P( OCL_BRIEF, extract, testing::Combine(
testing::Values( string( "gpu/opticalflow/rubberwhale1.png" ),
string( "gpu/stereobm/aloe-L.png" )
), testing::Values( 16, 32, 64 ), testing::Values( 250, 500, 1000, 2500, 3000 ) ) )
{
const std::string filename = std::tr1::get<0>(GetParam( ));
const int bytes = std::tr1::get<1>(GetParam( ));
const size_t numKp = std::tr1::get<2>(GetParam( ));
Mat img = imread( getDataPath( filename ), IMREAD_GRAYSCALE );
ASSERT_TRUE( !img.empty( ) ) << "no input image";
int threshold = 15;
std::vector<KeyPoint> keypoints;
while (threshold > 0 && keypoints.size( ) < numKp)
{
FastFeatureDetector fast( threshold );
fast.detect( img, keypoints, Mat( ) );
threshold -= 5;
KeyPointsFilter::runByImageBorder( keypoints, img.size( ), BRIEF_OCL::getBorderSize( ) );
}
ASSERT_TRUE( keypoints.size( ) >= numKp ) << "not enough keypoints";
keypoints.resize( numKp );
if ( RUN_OCL_IMPL )
{
Mat kpMat( 2, int( keypoints.size() ), CV_32FC1 );
for ( size_t i = 0; i < keypoints.size( ); ++i )
{
kpMat.col( int( i ) ).row( 0 ) = keypoints[i].pt.x;
kpMat.col( int( i ) ).row( 1 ) = keypoints[i].pt.y;
}
BRIEF_OCL brief( bytes );
oclMat imgCL( img ), keypointsCL(kpMat), mask;
while (next( ))
{
startTimer( );
oclMat descriptorsCL;
brief.compute( imgCL, keypointsCL, mask, descriptorsCL );
cv::ocl::finish( );
stopTimer( );
}
SANITY_CHECK_NOTHING( )
}
else if ( RUN_PLAIN_IMPL )
{
BriefDescriptorExtractor brief( bytes );
while (next( ))
{
startTimer( );
Mat descriptors;
brief.compute( img, keypoints, descriptors );
stopTimer( );
}
SANITY_CHECK_NOTHING( )
}
else
OCL_PERF_ELSE;
}