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/*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) 2014, Biagio Montesano, 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.
//
// * 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,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "perf_precomp.hpp"
using namespace cv;
using namespace cv::line_descriptor;
using namespace std;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef perf::TestBaseWithParam<std::string> file_str;
#define IMAGES \
"cv/line_descriptor/cameraman.jpg", "cv/shared/lena.png"
PERF_TEST_P(file_str, descriptors, testing::Values(IMAGES))
{
std::string filename = getDataPath( GetParam() );
Mat frame = imread( filename, 1 );
if( frame.empty() )
FAIL()<< "Unable to load source image " << filename;
Mat descriptors;
std::vector<KeyLine> keylines;
Ptr<BinaryDescriptor> bd = BinaryDescriptor::createBinaryDescriptor();
TEST_CYCLE()
{
bd->detect( frame, keylines );
bd->compute( frame, keylines, descriptors );
}
SANITY_CHECK_NOTHING();
}
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