vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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/*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) 2013, 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 <opencv2/core/utility.hpp>
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#include <opencv2/saliency.hpp>
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#include <opencv2/highgui.hpp>
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#include <iostream>
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using namespace std;
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using namespace cv;
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using namespace saliency;
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static const char* keys =
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{ "{@saliency_algorithm | | Saliency algorithm <saliencyAlgorithmType.[saliencyAlgorithmTypeSubType]> }"
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"{@video_name | | video name }"
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"{@start_frame |1| Start frame }"
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"{@training_path |ObjectnessTrainedModel| Path of the folder containing the trained files}" };
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static void help()
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{
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cout << "\nThis example shows the functionality of \"Saliency \""
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"Call:\n"
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"./example_saliency_computeSaliency <saliencyAlgorithmSubType> <video_name> <start_frame> \n"
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<< endl;
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}
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int main( int argc, char** argv )
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{
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CommandLineParser parser( argc, argv, keys );
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String saliency_algorithm = parser.get<String>( 0 );
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String video_name = parser.get<String>( 1 );
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int start_frame = parser.get<int>( 2 );
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String training_path = parser.get<String>( 3 );
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if( saliency_algorithm.empty() || video_name.empty() )
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{
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help();
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return -1;
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}
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//open the capture
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VideoCapture cap;
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cap.open( video_name );
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cap.set( CAP_PROP_POS_FRAMES, start_frame );
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if( !cap.isOpened() )
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{
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help();
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cout << "***Could not initialize capturing...***\n";
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cout << "Current parameter's value: \n";
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parser.printMessage();
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return -1;
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}
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Mat frame;
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//instantiates the specific Saliency
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Ptr<Saliency> saliencyAlgorithm;
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Mat binaryMap;
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Mat image;
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cap >> frame;
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if( frame.empty() )
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{
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return 0;
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}
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frame.copyTo( image );
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if( saliency_algorithm.find( "SPECTRAL_RESIDUAL" ) == 0 )
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{
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Mat saliencyMap;
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saliencyAlgorithm = StaticSaliencySpectralResidual::create();
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if( saliencyAlgorithm->computeSaliency( image, saliencyMap ) )
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{
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StaticSaliencySpectralResidual spec;
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spec.computeBinaryMap( saliencyMap, binaryMap );
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imshow( "Saliency Map", saliencyMap );
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imshow( "Original Image", image );
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imshow( "Binary Map", binaryMap );
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waitKey( 0 );
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}
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}
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else if( saliency_algorithm.find( "FINE_GRAINED" ) == 0 )
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{
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Mat saliencyMap;
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saliencyAlgorithm = StaticSaliencyFineGrained::create();
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if( saliencyAlgorithm->computeSaliency( image, saliencyMap ) )
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{
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imshow( "Saliency Map", saliencyMap );
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imshow( "Original Image", image );
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waitKey( 0 );
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}
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}
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else if( saliency_algorithm.find( "BING" ) == 0 )
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{
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if( training_path.empty() )
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{
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cout << "Path of trained files missing! " << endl;
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return -1;
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}
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else
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{
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saliencyAlgorithm = ObjectnessBING::create();
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vector<Vec4i> saliencyMap;
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saliencyAlgorithm.dynamicCast<ObjectnessBING>()->setTrainingPath( training_path );
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saliencyAlgorithm.dynamicCast<ObjectnessBING>()->setBBResDir( "Results" );
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if( saliencyAlgorithm->computeSaliency( image, saliencyMap ) )
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{
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int ndet = int(saliencyMap.size());
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std::cout << "Objectness done " << ndet << std::endl;
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// The result are sorted by objectness. We only use the first maxd boxes here.
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int maxd = 7, step = 255 / maxd, jitter=9; // jitter to separate single rects
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Mat draw = image.clone();
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for (int i = 0; i < std::min(maxd, ndet); i++) {
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Vec4i bb = saliencyMap[i];
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Scalar col = Scalar(((i*step)%255), 50, 255-((i*step)%255));
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Point off(theRNG().uniform(-jitter,jitter), theRNG().uniform(-jitter,jitter));
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rectangle(draw, Point(bb[0]+off.x, bb[1]+off.y), Point(bb[2]+off.x, bb[3]+off.y), col, 2);
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rectangle(draw, Rect(20, 20+i*10, 10,10), col, -1); // mini temperature scale
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}
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imshow("BING", draw);
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waitKey();
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}
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else
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{
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std::cout << "No saliency found for " << video_name << std::endl;
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}
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}
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}
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else if( saliency_algorithm.find( "BinWangApr2014" ) == 0 )
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{
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saliencyAlgorithm = MotionSaliencyBinWangApr2014::create();
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saliencyAlgorithm.dynamicCast<MotionSaliencyBinWangApr2014>()->setImagesize( image.cols, image.rows );
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saliencyAlgorithm.dynamicCast<MotionSaliencyBinWangApr2014>()->init();
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bool paused = false;
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for ( ;; )
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{
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if( !paused )
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{
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cap >> frame;
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if( frame.empty() )
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{
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return 0;
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}
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cvtColor( frame, frame, COLOR_BGR2GRAY );
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Mat saliencyMap;
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saliencyAlgorithm->computeSaliency( frame, saliencyMap );
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imshow( "image", frame );
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imshow( "saliencyMap", saliencyMap * 255 );
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}
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char c = (char) waitKey( 2 );
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if( c == 'q' )
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break;
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if( c == 'p' )
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paused = !paused;
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}
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}
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return 0;
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}
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