/* This file is a part of plaYUVer project * Copyright (C) 2014-2016 by Luis Lucas (luisfrlucas@gmail.com) * Joao Carreira (jfmcarreira@gmail.com) * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License along * with this program; if not, write to the Free Software Foundation, Inc., * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. */ /** * \file OpticalFlowDualTVL1.cpp * \brief Absolute Frame Difference module */ #include "OpticalFlowDualTVL1.h" #include using cv::Scalar; using cv::Mat; using cv::Mat_; using cv::Ptr; using cv::Point; using cv::Point2f; OpticalFlowDualTVL1::OpticalFlowDualTVL1() { /* Module Definition */ m_iModuleAPI = MODULE_API_2; // Use API version 2 (recommended). // See this example for details on the functions prototype m_iModuleType = FRAME_PROCESSING_MODULE; // Apply module to the frames or to the whole sequence. m_pchModuleCategory = "Measurements"; // Category (sub-menu) m_pchModuleName = "OpticalFlowDualTVL1"; // Name m_pchModuleTooltip = "Measure optical flow"; // Description m_uiNumberOfFrames = MODULE_REQUIRES_TWO_FRAMES; // Number of Frames required (ONE_FRAME, TWO_FRAMES, THREE_FRAMES) m_uiModuleRequirements = MODULE_REQUIRES_SKIP_WHILE_PLAY | MODULE_REQUIRES_NEW_WINDOW; m_pcOutputFrame = NULL; } Bool OpticalFlowDualTVL1::create( std::vector apcFrameList ) { _BASIC_MODULE_API_2_CHECK_ for( UInt i = 1; i < apcFrameList.size(); i++ ) if( !apcFrameList[i]->haveSameFmt( apcFrameList[0], PlaYUVerFrame::MATCH_COLOR_SPACE | PlaYUVerFrame::MATCH_RESOLUTION | PlaYUVerFrame::MATCH_BITS ) ) return false; m_iStep = 16; m_cTvl1 = cv::createOptFlow_DualTVL1(); m_pcOutputFrame = new PlaYUVerFrame( apcFrameList[0]->getWidth(), apcFrameList[0]->getHeight(), PlaYUVerFrame::GRAY ); return true; } inline bool isFlowCorrect( Point2f u ) { return !cvIsNaN( u.x ) && !cvIsNaN( u.y ) && fabs( u.x ) < 1e9 && fabs( u.y ) < 1e9; } PlaYUVerFrame* OpticalFlowDualTVL1::process( std::vector apcFrameList ) { Mat cvMatPrev, cvMatAfter; if( !apcFrameList[0]->toMat( cvMatPrev, true ) || !apcFrameList[1]->toMat( cvMatAfter, true ) ) { return m_pcOutputFrame; } Mat_ flow; m_cTvl1->calc( cvMatPrev, cvMatAfter, flow ); // determine motion range: Double maxrad = 1; for( int y = 0; y < flow.rows; y++ ) { for( int x = 0; x < flow.cols; x++ ) { Point2f u = flow( y, x ); if( !isFlowCorrect( u ) ) continue; maxrad = cv::max( maxrad, sqrt( u.x * u.x + u.y * u.y ) ); } } Scalar vectorColor( 255,0,0,0 ); for( int y = 0; y < flow.rows; y+=m_iStep ) { for( int x = 0; x < flow.cols; x+=m_iStep ) { Point p = Point( x,y ); Point2f u = flow( y, x ); Point ui( u.x, u.y ); if( isFlowCorrect( u ) ) arrowedLine( cvMatAfter, p, p+ui, vectorColor ); } } m_pcOutputFrame->fromMat( cvMatAfter ); return m_pcOutputFrame; } Void OpticalFlowDualTVL1::destroy() { if( m_pcOutputFrame ) delete m_pcOutputFrame; m_pcOutputFrame = NULL; }