rtsourcedataworker.cpp

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//=============================================================================================================
//=============================================================================================================
// INCLUDES
//=============================================================================================================
 
#include "rtsourcedataworker.h"
#include "../../../../helpers/interpolation/interpolation.h"
#include "../../items/common/abstractmeshtreeitem.h"
 
//=============================================================================================================
// QT INCLUDES
//=============================================================================================================
 
#include <QVector3D>
#include <QDebug>
#include <QElapsedTimer>
#include <QtConcurrent>
 
//=============================================================================================================
// EIGEN INCLUDES
//=============================================================================================================
 
#include <Eigen/Core>
 
//=============================================================================================================
// USED NAMESPACES
//=============================================================================================================
 
using namespace DISP3DLIB;
using namespace Eigen;
using namespace DISPLIB;
using namespace FIFFLIB;
 
//=============================================================================================================
// DEFINE MEMBER METHODS
//=============================================================================================================
 
RtSourceDataWorker::RtSourceDataWorker()
: m_bIsLooping(true)
, m_iAverageSamples(1)
, m_dSFreq(1000.0)
, m_bStreamSmoothedData(true)
, m_iCurrentSample(0)
, m_iSampleCtr(0)
{
    VisualizationInfo leftHemiInfo;
    VisualizationInfo rightHemiInfo;
    leftHemiInfo.pMatInterpolationMatrix = QSharedPointer<SparseMatrix<float> >(new SparseMatrix<float>());
    rightHemiInfo.pMatInterpolationMatrix = QSharedPointer<SparseMatrix<float> >(new SparseMatrix<float>());
    m_lHemiVisualizationInfo << leftHemiInfo << rightHemiInfo;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::addData(const MatrixXd& data)
{
    if(data.rows() == 0) {
        qDebug() <<"RtSourceDataWorker::addData - Passed data is empty!";
        return;
    }
 
    //Transform from matrix to list for easier handling in non loop mode
    for(int i = 0; i<data.cols(); i++) {
        if(m_lDataQ.size() < m_dSFreq) {
            m_lDataQ.push_back(data.col(i));
        } else {
            qDebug() <<"RtSourceDataWorker::addData - worker is full ("<<m_lDataQ.size()<<")";
            break;
        }
    }
 
    m_lDataLoopQ = m_lDataQ;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setSurfaceColor(const MatrixX4f &matColorLeft,
                                         const MatrixX4f &matColorRight)
{
    m_lHemiVisualizationInfo[0].matOriginalVertColor = matColorLeft;
    m_lHemiVisualizationInfo[1].matOriginalVertColor = matColorRight;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setNumberAverages(int iNumAvr)
{
    m_iAverageSamples = iNumAvr;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setStreamSmoothedData(bool bStreamSmoothedData)
{
    m_bStreamSmoothedData = bStreamSmoothedData;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setColormapType(const QString& sColormapType)
{
    //Create function handler to corresponding color map function
    m_lHemiVisualizationInfo[0].sColormapType = sColormapType;
    m_lHemiVisualizationInfo[1].sColormapType = sColormapType;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setThresholds(const QVector3D& vecThresholds)
{
    m_lHemiVisualizationInfo[0].dThresholdX = vecThresholds.x();
    m_lHemiVisualizationInfo[0].dThresholdZ = vecThresholds.z();
    m_lHemiVisualizationInfo[1].dThresholdX = vecThresholds.x();
    m_lHemiVisualizationInfo[1].dThresholdZ = vecThresholds.z();
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setLoopState(bool bLoopState)
{
    m_bIsLooping = bLoopState;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setSFreq(const double dSFreq)
{
    m_dSFreq = dSFreq;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setInterpolationMatrixLeft(QSharedPointer<Eigen::SparseMatrix<float> > pMatInterpolationMatrixLeft)
{
    m_lHemiVisualizationInfo[0].pMatInterpolationMatrix = pMatInterpolationMatrixLeft;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::setInterpolationMatrixRight(QSharedPointer<Eigen::SparseMatrix<float> > pMatInterpolationMatrixRight)
{
    m_lHemiVisualizationInfo[1].pMatInterpolationMatrix = pMatInterpolationMatrixRight;
}
 
//=============================================================================================================
 
void RtSourceDataWorker::streamData()
{
//    QElapsedTimer timer;
//    qint64 iTime = 0;
//    timer.start();
 
    if(m_iAverageSamples != 0 && !m_lDataLoopQ.isEmpty()) {
        int iSampleCtr = 0;
 
        //Perform the actual interpolation and send signal
        while((iSampleCtr <= m_iAverageSamples)) {
            if(m_lDataQ.isEmpty()) {
                if(m_bIsLooping && !m_lDataLoopQ.isEmpty()) {
                    if(m_vecAverage.rows() != m_lDataLoopQ.front().rows()) {
                        m_vecAverage = m_lDataLoopQ.front();
                        m_iCurrentSample++;
                        iSampleCtr++;
                    } else if (m_iCurrentSample < m_lDataLoopQ.size()){
                        m_vecAverage += m_lDataLoopQ.at(m_iCurrentSample);
                        m_iCurrentSample++;
                        iSampleCtr++;
                    }
 
                    //Set iterator back to the front if needed
                    if(m_iCurrentSample >= m_lDataLoopQ.size()) {
                        m_iCurrentSample = 0;
                        break;
                    }
                } else {
                    return;
                }
            } else {
                if(m_vecAverage.rows() != m_lDataQ.front().rows()) {
                    m_vecAverage = m_lDataQ.takeFirst();
                    m_iCurrentSample++;
                    iSampleCtr++;
                } else {
                    m_vecAverage += m_lDataQ.takeFirst();
                    m_iCurrentSample++;
                    iSampleCtr++;
                }
 
                //Set iterator back to the front if needed
                if(m_iCurrentSample >= m_lDataQ.size()) {
                    m_iCurrentSample = 0;
                    break;
                }
            }
        }
 
        if(m_lHemiVisualizationInfo[0].pMatInterpolationMatrix->cols() != 0
           && m_lHemiVisualizationInfo[1].pMatInterpolationMatrix->cols() != 0) {
            //Perform the actual interpolation and send signal
            m_vecAverage /= (double)m_iAverageSamples;
 
            if(m_bStreamSmoothedData) {
                m_lHemiVisualizationInfo[0].vecSensorValues = m_vecAverage.segment(0, m_lHemiVisualizationInfo[0].pMatInterpolationMatrix->cols());
                m_lHemiVisualizationInfo[1].vecSensorValues = m_vecAverage.segment(m_lHemiVisualizationInfo[0].pMatInterpolationMatrix->cols(), m_lHemiVisualizationInfo[1].pMatInterpolationMatrix->cols());
 
                //Do calculations for both hemispheres in parallel
                QFuture<void> result = QtConcurrent::map(m_lHemiVisualizationInfo,
                                                         generateColorsFromSensorValues);
                result.waitForFinished();
 
                emit newRtSmoothedData(m_lHemiVisualizationInfo[0].matFinalVertColor,
                                       m_lHemiVisualizationInfo[1].matFinalVertColor);
            } else {
                emit newRtRawData(m_vecAverage.segment(0, m_lHemiVisualizationInfo[0].pMatInterpolationMatrix->cols()),
                                  m_vecAverage.segment(m_lHemiVisualizationInfo[0].pMatInterpolationMatrix->cols(), m_lHemiVisualizationInfo[1].pMatInterpolationMatrix->cols()));
            }
            m_vecAverage.setZero(m_vecAverage.rows());
        }
    }
 
//iTime = timer.elapsed();
//qWarning() << "RtSourceDataWorker::streamData iTime" << iTime;
//timer.restart();
 
    //qDebug()<<"RtSourceDataWorker::streamData - this->thread() "<< this->thread();
    //qDebug()<<"RtSourceDataWorker::streamData - time.elapsed()" << time.elapsed();
}
 
//=============================================================================================================
 
void RtSourceDataWorker::generateColorsFromSensorValues(VisualizationInfo &visualizationInfoHemi)
{
    if(visualizationInfoHemi.vecSensorValues.rows() != visualizationInfoHemi.pMatInterpolationMatrix->cols()) {
        qDebug() << "RtSourceDataWorker::generateColorsFromSensorValues - Number of new vertex colors (" << visualizationInfoHemi.vecSensorValues.rows() << ") do not match with previously set number of sensors (" << visualizationInfoHemi.pMatInterpolationMatrix->cols() << "). Returning...";
        return;
    }
 
    // interpolate sensor signals
    VectorXf vecIntrpltdVals = Interpolation::interpolateSignal(*visualizationInfoHemi.pMatInterpolationMatrix, visualizationInfoHemi.vecSensorValues.cast<float>());
 
    // Reset to original color as default
    visualizationInfoHemi.matFinalVertColor = visualizationInfoHemi.matOriginalVertColor;
 
    //Generate color data for vertices
    normalizeAndTransformToColor(vecIntrpltdVals,
                                 visualizationInfoHemi.matFinalVertColor,
                                 visualizationInfoHemi.dThresholdX,
                                 visualizationInfoHemi.dThresholdZ,
                                 visualizationInfoHemi.functionHandlerColorMap,
                                 visualizationInfoHemi.sColormapType);
}
 
//=============================================================================================================
 
void RtSourceDataWorker::normalizeAndTransformToColor(const VectorXf& vecData,
                                                      MatrixX4f& matFinalVertColor,
                                                      double dThresholdX,
                                                      double dThresholdZ,
                                                      QRgb (*functionHandlerColorMap)(double v, const QString& sColorMap),
                                                      const QString& sColorMap)
{
    //Note: This function needs to be implemented extremly efficient.
    if(vecData.rows() != matFinalVertColor.rows()) {
        qDebug() << "RtSourceDataWorker::normalizeAndTransformToColor - Sizes of input data (" << vecData.rows() <<") do not match output data ("<< matFinalVertColor.rows() <<"). Returning ...";
        return;
    }
 
    float fSample;
    QRgb qRgb;
    const double dTresholdDiff = dThresholdZ - dThresholdX;
 
    for(int r = 0; r < vecData.rows(); ++r) {
        //Take the absolute values because the histogram threshold is also calcualted using the absolute values
        fSample = std::fabs(vecData(r));
 
        if(fSample >= dThresholdX) {
            //Check lower and upper thresholds and normalize to one
            if(fSample >= dThresholdZ) {
                fSample = 1.0f;
            } else {
                if(fSample != 0.0f && dTresholdDiff != 0.0 ) {
                    fSample = (fSample - dThresholdX) / (dTresholdDiff);
                } else {
                    fSample = 0.0f;
                }
            }
 
            qRgb = functionHandlerColorMap(fSample, sColorMap);
 
            QColor color(qRgb);
//            QColor color (matFinalVertColor(r,0) * 255 * (1.0-0.60) + (float)qRed(qRgb)*0.60,
//                          matFinalVertColor(r,1) * 255 * (1.0-0.60) + (float)qGreen(qRgb)*0.60,
//                          matFinalVertColor(r,2) * 255 * (1.0-0.60) + (float)qBlue(qRgb)*0.60,
//                          255.0 + 0.75 * (255.0-255.0));
 
            //qDebug() << "RtSourceDataWorker::normalizeAndTransformToColor color" << color;
 
            matFinalVertColor(r,0) = color.redF();
            matFinalVertColor(r,1) = color.greenF();
            matFinalVertColor(r,2) = color.blueF();
            matFinalVertColor(r,3) = color.alphaF();
 
//            matFinalVertColor(r,0) = (float)qRed(qRgb)/255.0f;
//            matFinalVertColor(r,1) = (float)qGreen(qRgb)/255.0f;
//            matFinalVertColor(r,2) = (float)qBlue(qRgb)/255.0f;
//            matFinalVertColor(r,3) = 1.0f;
        } else {
            matFinalVertColor(r,3) = 0.0f; //Use this if you want only vertices with activation to be plotted
        }
    }
}