131 lines
4.5 KiB
C++
131 lines
4.5 KiB
C++
/* This file is a part of Calyp project
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* Copyright (C) 2014-2021 by Joao Carreira (jfmcarreira@gmail.com)
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* Luis Lucas (luisfrlucas@gmail.com)
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with this program; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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*/
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/**
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* \file SaliencyDetection.cpp
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* \brief Modules to measure optical flow
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*/
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#include "SaliencyDetection.h"
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#include <cstdlib>
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//#include <opencv2/video/video.hpp>
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using cv::Mat;
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using cv::Ptr;
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using namespace cv::saliency;
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SaliencyDetectionModule::SaliencyDetectionModule()
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{
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/* Module Definition */
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m_iModuleAPI = CLP_MODULE_API_2;
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m_iModuleType = ClpModuleType::FrameProcessing;
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m_pchModuleCategory = "Saliency";
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m_uiNumberOfFrames = 1;
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m_uiModuleRequirements = ClpModuleFeature::NewWindow;
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m_bConvertToGray = true;
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}
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SaliencyDetectionSpectral::SaliencyDetectionSpectral()
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{
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/* Module Definition */
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m_pchModuleName = "SaliencySpectralResidual";
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m_pchModuleLongName = "Spectral residual";
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m_pchModuleTooltip = "Measure saliency using spectral residual method";
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m_uiModuleRequirements = m_uiModuleRequirements | ClpModuleFeature::Options;
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m_cModuleOptions.addOptions() /**/
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( "Binary map", m_bBinaryMap, "Measure a binary saliency map [false]" );
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m_bBinaryMap = false;
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}
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cv::Mat* SaliencyDetectionSpectral::create_using_opencv( const std::vector<Mat>& apcMatList )
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{
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m_ptrSaliencyAlgorithm = StaticSaliencySpectralResidual::create();
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m_pcvSaliency = std::make_unique<Mat>( apcMatList[0].rows, apcMatList[0].cols, CV_8UC1 );
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return m_pcvSaliency.get();
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}
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Mat* SaliencyDetectionSpectral::process_using_opencv( const std::vector<Mat>& apcMatList )
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{
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Mat cvSaliency;
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m_ptrSaliencyAlgorithm->computeSaliency( apcMatList[0], cvSaliency );
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Mat cvBinaryMap;
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StaticSaliencySpectralResidual spec;
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spec.computeBinaryMap( cvSaliency, *m_pcvSaliency );
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if( !m_bBinaryMap )
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{
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cvSaliency *= 255;
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cvSaliency.convertTo( *m_pcvSaliency, CV_8UC1 );
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}
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return m_pcvSaliency.get();
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}
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SaliencyDetectionFineGrained::SaliencyDetectionFineGrained()
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{
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/* Module Definition */
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m_pchModuleName = "SaliencyDetectionFineGrained";
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m_pchModuleLongName = "Fine grained";
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m_pchModuleTooltip = "Measure saliency using fine grained method";
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}
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Mat* SaliencyDetectionFineGrained::create_using_opencv( const std::vector<Mat>& apcMatList )
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{
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m_ptrSaliencyAlgorithm = cv::saliency::StaticSaliencyFineGrained::create();
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m_pcvSaliency = std::make_unique<Mat>( apcMatList[0].rows, apcMatList[0].cols, CV_8UC1 );
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return m_pcvSaliency.get();
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}
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Mat* SaliencyDetectionFineGrained::process_using_opencv( const std::vector<Mat>& apcMatList )
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{
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m_ptrSaliencyAlgorithm->computeSaliency( apcMatList[0], *m_pcvSaliency );
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return m_pcvSaliency.get();
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}
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SaliencyDetectionBinWangApr2014::SaliencyDetectionBinWangApr2014()
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{
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/* Module Definition */
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m_pchModuleName = "SaliencyDetectionBinWangApr2014";
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m_pchModuleLongName = "Fast Self-tuning Background Subtraction Algorithm";
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m_pchModuleTooltip = "Measure saliency using a fast self-tuning background subtraction algorithm";
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}
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Mat* SaliencyDetectionBinWangApr2014::create_using_opencv( const std::vector<Mat>& apcMatList )
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{
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m_ptrSaliencyAlgorithm = MotionSaliencyBinWangApr2014::create();
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m_ptrSaliencyAlgorithm.dynamicCast<MotionSaliencyBinWangApr2014>()->setImagesize( apcMatList[0].cols, apcMatList[0].rows );
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m_ptrSaliencyAlgorithm.dynamicCast<MotionSaliencyBinWangApr2014>()->init();
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m_pcvSaliency = std::make_unique<Mat>( apcMatList[0].rows, apcMatList[0].cols, CV_8UC1 );
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return m_pcvSaliency.get();
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}
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Mat* SaliencyDetectionBinWangApr2014::process_using_opencv( const std::vector<Mat>& apcMatList )
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{
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if( m_ptrSaliencyAlgorithm->computeSaliency( apcMatList[0], *m_pcvSaliency ) )
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{
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*m_pcvSaliency *= 255;
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m_pcvSaliency->convertTo( *m_pcvSaliency, CV_8UC1 );
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//cv::cvtColor(m_matSaliency, m_matSaliency, cv::COLOR_BGR2GRAY);
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}
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return m_pcvSaliency.get();
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}
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