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108 lines
3.9 KiB
108 lines
3.9 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, OpenCV Foundation, 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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//write sanity: ./bin/opencv_perf_saliency --perf_write_sanity=true |
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//verify sanity: ./bin/opencv_perf_saliency |
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using namespace std; |
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using namespace cv; |
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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> sal; |
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#define BING_IMAGES \ |
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"cv/saliency/objectness/000021.jpg", \ |
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"cv/saliency/objectness/000022.jpg" |
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void getMatOfRects( const vector<Vec4i>& saliencyMap, Mat& bbs_mat ) |
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{ |
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for ( int b = 0; b < (int)saliencyMap.size(); b++ ) |
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{ |
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bbs_mat.at<int>( b, 0 ) = saliencyMap[b].val[0]; |
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bbs_mat.at<int>( b, 1 ) = saliencyMap[b].val[1]; |
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bbs_mat.at<int>( b, 2 ) = saliencyMap[b].val[2]; |
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bbs_mat.at<int>( b, 3 ) = saliencyMap[b].val[3]; |
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} |
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} |
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PERF_TEST_P(sal, objectnessBING, testing::Values(BING_IMAGES)) |
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{ |
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string filename = getDataPath(GetParam()); |
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cout<<endl<<endl<<"path "<<filename<<endl<<endl; |
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Mat image = imread(filename); |
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vector<Vec4i> saliencyMap; |
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String training_path = "/home/puja/src/opencv_contrib/modules/saliency/samples/ObjectnessTrainedModel"; |
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if (image.empty()) |
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FAIL() << "Unable to load source image " << filename; |
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Ptr<saliency::Saliency> saliencyAlgorithm = saliency::Saliency::create( "BING" ); |
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TEST_CYCLE_N(1) |
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{ |
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if( training_path.empty() ) |
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{ |
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FAIL() << "Path of trained files missing! " << endl; |
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return; |
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} |
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else |
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{ |
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saliencyAlgorithm.dynamicCast<saliency::ObjectnessBING>()->setTrainingPath( training_path ); |
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saliencyAlgorithm.dynamicCast<saliency::ObjectnessBING>()->setBBResDir( training_path + "/Results" ); |
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if( saliencyAlgorithm->computeSaliency( image, saliencyMap ) ) |
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{ |
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} |
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} |
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} //end CYCLE |
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//save the bounding boxes in a Mat |
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Mat bbs_mat( (int)saliencyMap.size(), 4, CV_32F ); |
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getMatOfRects( saliencyMap, bbs_mat ); |
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SANITY_CHECK( bbs_mat); |
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}
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