/*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. // // * 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 "precomp.hpp" namespace cv { /* * TrackerSampler */ /* * Constructor */ TrackerSampler::TrackerSampler() { blockAddTrackerSampler = false; } /* * Destructor */ TrackerSampler::~TrackerSampler() { } void TrackerSampler::sampling( const Mat& image, Rect boundingBox ) { clearSamples(); for ( size_t i = 0; i < samplers.size(); i++ ) { std::vector<Mat> current_samples; samplers[i].second->sampling( image, boundingBox, current_samples ); //push in samples all current_samples for ( size_t j = 0; j < current_samples.size(); j++ ) { std::vector<Mat>::iterator it = samples.end(); samples.insert( it, current_samples.at( j ) ); } } if( !blockAddTrackerSampler ) { blockAddTrackerSampler = true; } } bool TrackerSampler::addTrackerSamplerAlgorithm( String trackerSamplerAlgorithmType ) { if( blockAddTrackerSampler ) { return false; } Ptr<TrackerSamplerAlgorithm> sampler = TrackerSamplerAlgorithm::create( trackerSamplerAlgorithmType ); if( sampler == 0 ) { return false; } samplers.push_back( std::make_pair( trackerSamplerAlgorithmType, sampler ) ); return true; } bool TrackerSampler::addTrackerSamplerAlgorithm( Ptr<TrackerSamplerAlgorithm>& sampler ) { if( blockAddTrackerSampler ) { return false; } if( sampler == 0 ) { return false; } String trackerSamplerAlgorithmType = sampler->getClassName(); samplers.push_back( std::make_pair( trackerSamplerAlgorithmType, sampler ) ); return true; } const std::vector<std::pair<String, Ptr<TrackerSamplerAlgorithm> > >& TrackerSampler::getSamplers() const { return samplers; } const std::vector<Mat>& TrackerSampler::getSamples() const { return samples; } void TrackerSampler::clearSamples() { samples.clear(); } } /* namespace cv */