138 lines
4.5 KiB
138 lines
4.5 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2014, Biagio Montesano, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "perf_precomp.hpp" |
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using namespace cv; |
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using namespace cv::line_descriptor; |
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using namespace std; |
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using namespace perf; |
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using std::tr1::make_tuple; |
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using std::tr1::get; |
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typedef perf::TestBaseWithParam<std::string> file_str; |
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#define IMAGES \ |
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"cv/line_descriptor/cameraman.jpg", "cv/shared/lena.png" |
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void createMatFromVec( const std::vector<KeyLine>& linesVec, Mat& output ); |
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void createMatFromVec( const std::vector<KeyLine>& linesVec, Mat& output ) |
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{ |
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output = Mat( (int) linesVec.size(), 17, CV_32FC1 ); |
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for ( int i = 0; i < (int) linesVec.size(); i++ ) |
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{ |
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std::vector<float> klData; |
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KeyLine kl = linesVec[i]; |
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klData.push_back( kl.angle ); |
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klData.push_back( (float) kl.class_id ); |
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klData.push_back( kl.ePointInOctaveX ); |
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klData.push_back( kl.ePointInOctaveY ); |
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klData.push_back( kl.endPointX ); |
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klData.push_back( kl.endPointY ); |
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klData.push_back( kl.lineLength ); |
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klData.push_back( (float) kl.numOfPixels ); |
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klData.push_back( (float) kl.octave ); |
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klData.push_back( kl.pt.x ); |
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klData.push_back( kl.pt.y ); |
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klData.push_back( kl.response ); |
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klData.push_back( kl.sPointInOctaveX ); |
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klData.push_back( kl.sPointInOctaveY ); |
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klData.push_back( kl.size ); |
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klData.push_back( kl.startPointX ); |
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klData.push_back( kl.startPointY ); |
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float* pointerToRow = output.ptr<float>( i ); |
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for ( int j = 0; j < 17; j++ ) |
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{ |
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*pointerToRow = klData[j]; |
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pointerToRow++; |
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} |
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} |
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} |
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PERF_TEST_P(file_str, detect, testing::Values(IMAGES)) |
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{ |
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std::string filename = getDataPath( GetParam() ); |
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Mat frame = imread( filename, 1 ); |
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if( frame.empty() ) |
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FAIL()<< "Unable to load source image " << filename; |
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Mat lines; |
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std::vector<KeyLine> keylines; |
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Ptr<BinaryDescriptor> bd = BinaryDescriptor::createBinaryDescriptor(); |
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TEST_CYCLE() |
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{ |
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bd->detect( frame, keylines ); |
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createMatFromVec( keylines, lines ); |
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} |
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SANITY_CHECK_NOTHING(); |
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} |
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PERF_TEST_P(file_str, detect_lsd, testing::Values(IMAGES)) |
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{ |
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std::string filename = getDataPath( GetParam() ); |
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std::cout << filename.c_str() << std::endl; |
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Mat frame = imread( filename, 1 ); |
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if( frame.empty() ) |
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FAIL()<< "Unable to load source image " << filename; |
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Mat lines; |
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std::vector<KeyLine> keylines; |
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Ptr<LSDDetector> lsd = LSDDetector::createLSDDetector(); |
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TEST_CYCLE() |
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{ |
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lsd->detect( frame, keylines, 2, 1 ); |
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createMatFromVec( keylines, lines ); |
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} |
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SANITY_CHECK_NOTHING(); |
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}
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