opencv/modules/ocl/perf/perf_brief.cpp

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2013-12-19 07:15:53 +08:00
/*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) 2013, OpenCV Foundation, 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.
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// * 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,
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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> > 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;
}