Major changes in OpenCV handling
CalypFrame to Mat conversion Remove custom modules
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/* This file is a part of Calyp project
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* Copyright (C) 2014-2019 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 ThreeSixtyDownsampling.cpp
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* \brief Downsampling ERP to NxN
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*/
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#include "ThreeSixtyDownsampling.h"
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#include <opencv2/core/core.hpp>
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#include <opencv2/imgproc.hpp>
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using cv::InputArray;
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using cv::Mat;
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using cv::OutputArray;
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using cv::Size;
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ThreeSixtyDownsampling::ThreeSixtyDownsampling()
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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 = CLP_FRAME_PROCESSING_MODULE;
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m_pchModuleCategory = "360Video";
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m_pchModuleName = "ThreeSixtyDownsampling";
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m_pchModuleLongName = "ERP to NxN";
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m_pchModuleTooltip = "Downsampling ERP to NxN";
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m_uiNumberOfFrames = 1;
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m_uiModuleRequirements = CLP_MODULE_REQUIRES_SKIP_WHILE_PLAY | CLP_MODULE_REQUIRES_OPTIONS;
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m_cModuleOptions.addOptions() /**/
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( "Downsampling", m_bDownsampling, "ERP to NxN [true]" ) /**/
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( "Interpolation", m_iInterpolation, "Interpolation method (1-5) [1]" );
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// INTER_NEAREST - a nearest-neighbor interpolation
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// INTER_LINEAR - a bilinear interpolation (used by default)
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// INTER_AREA - resampling using pixel area relation. It may be a preferred method for image decimation, as it gives moire’-free results. But when the image is zoomed, it is similar to the INTER_NEAREST method.
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// INTER_CUBIC - a bicubic interpolation over 4x4 pixel neighborhood
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// INTER_LANCZOS4 - a Lanczos interpolation over 8x8 pixel neighborhood
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m_bDownsampling = true;
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m_iInterpolation = 1;
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m_pcOutputFrame = NULL;
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}
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bool ThreeSixtyDownsampling::create( std::vector<CalypFrame*> apcFrameList )
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{
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_BASIC_MODULE_API_2_CHECK_
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m_pcOutputFrame = new CalypFrame( apcFrameList[0]->getWidth(), apcFrameList[0]->getHeight(), CLP_GRAY );
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m_isOdd = !( m_pcOutputFrame->getHeight() % 2 );
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switch( m_iInterpolation )
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{
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case 2:
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m_iInterpolation = cv::INTER_LINEAR;
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break;
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case 3:
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m_iInterpolation = cv::INTER_AREA;
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break;
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case 4:
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m_iInterpolation = cv::INTER_CUBIC;
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break;
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case 5:
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m_iInterpolation = cv::INTER_LANCZOS4;
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break;
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default:
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m_iInterpolation = cv::INTER_NEAREST;
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}
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return true;
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}
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CalypFrame* ThreeSixtyDownsampling::process( std::vector<CalypFrame*> apcFrameList )
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{
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Mat cvIn;
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apcFrameList[0]->toMat( cvIn, true );
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m_pcOutputFrame->reset();
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memcpy( &m_pcOutputFrame->getPelBufferYUV()[0][m_pcOutputFrame->getHeight() / 2][0],
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&apcFrameList[0]->getPelBufferYUV()[0][m_pcOutputFrame->getHeight() / 2][0],
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m_pcOutputFrame->getWidth() * sizeof( ClpPel ) );
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if( m_isOdd )
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{
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memcpy( &m_pcOutputFrame->getPelBufferYUV()[0][m_pcOutputFrame->getHeight() / 2 - 1][0],
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&apcFrameList[0]->getPelBufferYUV()[0][m_pcOutputFrame->getHeight() / 2 - 1][0],
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m_pcOutputFrame->getWidth() * sizeof( ClpPel ) );
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}
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for( int line = 1; line < m_pcOutputFrame->getHeight() / 2; line++ )
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{
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for( int hemisfer = -1; hemisfer < 2; hemisfer += 2 )
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{
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Mat cvOutput;
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// calculate destination sizes
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unsigned int ypos = m_pcOutputFrame->getHeight() / 2 + line * hemisfer + ( hemisfer == -1 ? ( m_isOdd ? -1 : 0 ) : 0 );
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unsigned int lineWidth = ( m_pcOutputFrame->getHeight() / 2 - line ) * 4 + 2;
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unsigned int xpos = ( m_pcOutputFrame->getWidth() - lineWidth ) / 2;
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Mat cvDownsample( 1, lineWidth, CV_8UC1 );
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Mat cvUpsample( 1, m_pcOutputFrame->getWidth(), CV_8UC1 );
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// resize
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if( m_bDownsampling )
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{
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cv::resize( cvIn.row( ypos ), cvDownsample, cvDownsample.size(), 0, 0, m_iInterpolation );
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cvOutput = cvDownsample;
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}
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else
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{
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Mat cvauxin = cvIn.row( ypos ).colRange( xpos, xpos + lineWidth );
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cvauxin.copyTo( cvDownsample );
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cv::resize( cvDownsample, cvUpsample, cvUpsample.size(), 0, 0, m_iInterpolation );
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cvOutput = cvUpsample;
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}
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// copy to output
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ClpPel* outpel = &m_pcOutputFrame->getPelBufferYUV()[0][ypos][xpos * m_bDownsampling];
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unsigned char* pchar = cvOutput.data;
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for( unsigned int i = 0; i < cvOutput.cols; i++ )
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{
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*outpel++ = *pchar++;
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}
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}
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}
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return m_pcOutputFrame;
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}
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void ThreeSixtyDownsampling::destroy()
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{
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if( m_pcOutputFrame )
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delete m_pcOutputFrame;
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m_pcOutputFrame = NULL;
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}
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