/**
* The function main marks the entry point of the program.
* By default, main has the storage class extern.
*
* @param [in] argc (argument count) is an integer that indicates how many arguments were entered on the command line when the program was started.
* @param [in] argv (argument vector) is an array of pointers to arrays of character objects. The array objects are null-terminated strings, representing the arguments that were entered on the command line when the program was started.
* @return the value that was set to exit() (which is 0 if exit() is called via quit()).
*/
int main(int argc, char *argv[])
{
QApplication app(argc, argv);
// Command Line Parser
QCommandLineParser parser;
parser.setApplicationDescription("Compute Inverse Powell RAP-MUSIC Example");
parser.addHelpOption();
QCommandLineOption fwdFileOption("fwd", "Path to forward solution <file>.", "file", "./MNE-sample-data/MEG/sample/sample_audvis-meg-eeg-oct-6-fwd.fif");
QCommandLineOption evokedFileOption("ave", "Path to evoked <file>.", "file", "./MNE-sample-data/MEG/sample/sample_audvis-ave.fif");
QCommandLineOption subjectDirectoryOption("subjDir", "Path to subject <directory>.", "directory", "./MNE-sample-data/subjects");
QCommandLineOption subjectOption("subj", "Selected <subject>.", "subject", "sample");
QCommandLineOption stcFileOption("stcOut", "Path to stc <file>, which is to be written.", "file", "");//"RapMusic.stc");
QCommandLineOption numDipolePairsOption("numDip", "<number> of dipole pairs to localize.", "number", "1");
QCommandLineOption doMovieOption("doMovie", "Create overlapping movie.", "doMovie", "false");
QCommandLineOption annotOption("annotType", "Annotation type <type>.", "type", "aparc.a2009s");
QCommandLineOption surfOption("surfType", "Surface type <type>.", "type", "orig");
parser.addOption(fwdFileOption);
parser.addOption(evokedFileOption);
parser.addOption(subjectDirectoryOption);
parser.addOption(subjectOption);
parser.addOption(stcFileOption);
parser.addOption(numDipolePairsOption);
parser.addOption(doMovieOption);
parser.addOption(annotOption);
parser.addOption(surfOption);
parser.process(app);
// Parse command line parameters
QFile t_fileFwd(parser.value(fwdFileOption));
QFile t_fileEvoked(parser.value(evokedFileOption));
QString subject(parser.value(subjectOption));
QString subjectDir(parser.value(subjectDirectoryOption));
AnnotationSet t_annotationSet(subject, 2, parser.value(annotOption), subjectDir);
SurfaceSet t_surfSet(subject, 2, parser.value(surfOption), subjectDir);
QString t_sFileNameStc(parser.value(stcFileOption));
qint32 numDipolePairs = parser.value(numDipolePairsOption).toInt();
bool doMovie = false;
if(parser.value(doMovieOption) == "false" || parser.value(doMovieOption) == "0") {
doMovie = false;
} else if(parser.value(doMovieOption) == "true" || parser.value(doMovieOption) == "1") {
doMovie = true;
}
qDebug() << "Start calculation with stc:" << t_sFileNameStc;
// Load data
fiff_int_t setno = 0;
QPair<QVariant, QVariant> baseline(QVariant(), 0);
FiffEvoked evoked(t_fileEvoked, setno, baseline);
if(evoked.isEmpty())
return 1;
std::cout << "evoked first " << evoked.first << "; last " << evoked.last << std::endl;
MNEForwardSolution t_Fwd(t_fileFwd);
if(t_Fwd.isEmpty())
return 1;
QStringList ch_sel_names = t_Fwd.info.ch_names;
FiffEvoked pickedEvoked = evoked.pick_channels(ch_sel_names);
//
// Cluster forward solution;
//
MNEForwardSolution t_clusteredFwd = t_Fwd.cluster_forward_solution(t_annotationSet, 20);//40);
// std::cout << "Size " << t_clusteredFwd.sol->data.rows() << " x " << t_clusteredFwd.sol->data.cols() << std::endl;
// std::cout << "Clustered Fwd:\n" << t_clusteredFwd.sol->data.row(0) << std::endl;
PwlRapMusic t_pwlRapMusic(t_clusteredFwd, false, numDipolePairs);
int iWinSize = 200;
if(doMovie) {
t_pwlRapMusic.setStcAttr(iWinSize, 0.6);
}
MNESourceEstimate sourceEstimate = t_pwlRapMusic.calculateInverse(pickedEvoked);
if(doMovie) {
//Select only the activations once
MatrixXd dataPicked(sourceEstimate.data.rows(), int(std::floor(sourceEstimate.data.cols()/iWinSize)));
for(int i = 0; i < dataPicked.cols(); ++i) {
dataPicked.col(i) = sourceEstimate.data.col(i*iWinSize);
}
sourceEstimate.data = dataPicked;
}
std::cout << "source estimated" << std::endl;
if(sourceEstimate.isEmpty())
return 1;
View3D::SPtr testWindow = View3D::SPtr(new View3D());
Data3DTreeModel::SPtr p3DDataModel = Data3DTreeModel::SPtr(new Data3DTreeModel());
testWindow->setModel(p3DDataModel);
p3DDataModel->addSurfaceSet(parser.value(subjectOption), "HemiLRSet", t_surfSet, t_annotationSet);
QList<BrainRTSourceLocDataTreeItem*> rtItemList = p3DDataModel->addSourceData(parser.value(subjectOption), "HemiLRSet", sourceEstimate, t_clusteredFwd);
//Init some rt related values for right visual data
for(int i = 0; i < rtItemList.size(); ++i) {
rtItemList.at(i)->setLoopState(true);
rtItemList.at(i)->setTimeInterval(17);
rtItemList.at(i)->setNumberAverages(1);
rtItemList.at(i)->setStreamingActive(true);
rtItemList.at(i)->setNormalization(QVector3D(0.01,0.5,1.0));
rtItemList.at(i)->setVisualizationType("Annotation based");
rtItemList.at(i)->setColortable("Hot");
}
testWindow->show();
Control3DWidget::SPtr control3DWidget = Control3DWidget::SPtr(new Control3DWidget());
control3DWidget->init(p3DDataModel, testWindow);
control3DWidget->show();
if(!t_sFileNameStc.isEmpty())
{
QFile t_fileClusteredStc(t_sFileNameStc);
sourceEstimate.write(t_fileClusteredStc);
}
return app.exec();
}
/**
* The function main marks the entry point of the program.
* By default, main has the storage class extern.
*
* @param [in] argc (argument count) is an integer that indicates how many arguments were entered on the command line when the program was started.
* @param [in] argv (argument vector) is an array of pointers to arrays of character objects. The array objects are null-terminated strings, representing the arguments that were entered on the command line when the program was started.
* @return the value that was set to exit() (which is 0 if exit() is called via quit()).
*/
int main(int argc, char *argv[])
{
QApplication a(argc, argv);
// Command Line Parser
QCommandLineParser parser;
parser.setApplicationDescription("Clustered Inverse Raw Example");
parser.addHelpOption();
QCommandLineOption inputOption("fileIn", "The input file <in>.", "in", "./MNE-sample-data/MEG/sample/sample_audvis_raw.fif");
QCommandLineOption surfOption("surfType", "Surface type <type>.", "type", "inflated");
QCommandLineOption annotOption("annotType", "Annotation type <type>.", "type", "aparc.a2009s");
QCommandLineOption subjectOption("subject", "Selected subject <subject>.", "subject", "sample");
QCommandLineOption subjectPathOption("subjectPath", "Selected subject path <subjectPath>.", "subjectPath", "./MNE-sample-data/subjects");
QCommandLineOption fwdOption("fwd", "Path to forwad solution <file>.", "file", "./MNE-sample-data/MEG/sample/sample_audvis-meg-eeg-oct-6-fwd.fif");
QCommandLineOption covFileOption("cov", "Path to the covariance <file>.", "file", "./MNE-sample-data/MEG/sample/sample_audvis-cov.fif");
QCommandLineOption evokedIndexOption("aveIdx", "The average <index> to choose from the average file.", "index", "1");
QCommandLineOption eventsFileOption("eve", "Path to the event <file>.", "file", "./MNE-sample-data/MEG/sample/sample_audvis_raw-eve.fif");
QCommandLineOption hemiOption("hemi", "Selected hemisphere <hemi>.", "hemi", "2");
QCommandLineOption methodOption("method", "Inverse estimation <method>, i.e., 'MNE', 'dSPM' or 'sLORETA'.", "method", "dSPM");//"MNE" | "dSPM" | "sLORETA"
QCommandLineOption snrOption("snr", "The SNR value used for computation <snr>.", "snr", "1.0");//3.0;//0.1;//3.0;
QCommandLineOption invFileOutOption("invOut", "Path to inverse <file>, which is to be written.", "file", "");
QCommandLineOption stcFileOutOption("stcOut", "Path to stc <file>, which is to be written.", "file", "");
QCommandLineOption keepCompOption("keepComp", "Keep compensators.", "keepComp", "false");
QCommandLineOption pickAllOption("pickAll", "Pick all channels.", "pickAll", "true");
QCommandLineOption destCompsOption("destComps", "<Destination> of the compensator which is to be calculated.", "destination", "0");
parser.addOption(inputOption);
parser.addOption(surfOption);
parser.addOption(annotOption);
parser.addOption(subjectOption);
parser.addOption(subjectPathOption);
parser.addOption(fwdOption);
parser.addOption(covFileOption);
parser.addOption(evokedIndexOption);
parser.addOption(eventsFileOption);
parser.addOption(hemiOption);
parser.addOption(methodOption);
parser.addOption(snrOption);
parser.addOption(invFileOutOption);
parser.addOption(stcFileOutOption);
parser.addOption(keepCompOption);
parser.addOption(pickAllOption);
parser.addOption(destCompsOption);
parser.process(a);
// Load files
QFile t_fileFwd(parser.value(fwdOption));
QFile t_fileCov(parser.value(covFileOption));
QFile t_fileRaw(parser.value(inputOption));
QString t_sEventName = parser.value(eventsFileOption);
SurfaceSet t_surfSet (parser.value(subjectOption), parser.value(hemiOption).toInt(), parser.value(surfOption), parser.value(subjectPathOption));
AnnotationSet t_annotationSet (parser.value(subjectOption), parser.value(hemiOption).toInt(), parser.value(annotOption), parser.value(subjectPathOption));
qint32 event = parser.value(evokedIndexOption).toInt();
float tmin = -0.2f;
float tmax = 0.4f;
bool keep_comp = false;
if(parser.value(keepCompOption) == "false" || parser.value(keepCompOption) == "0") {
keep_comp = false;
} else if(parser.value(keepCompOption) == "true" || parser.value(keepCompOption) == "1") {
keep_comp = true;
}
fiff_int_t dest_comp = parser.value(destCompsOption).toInt();
bool pick_all = false;
if(parser.value(pickAllOption) == "false" || parser.value(pickAllOption) == "0") {
pick_all = false;
} else if(parser.value(pickAllOption) == "true" || parser.value(pickAllOption) == "1") {
pick_all = true;
}
qint32 k, p;
//
// Setup for reading the raw data
//
FiffRawData raw(t_fileRaw);
RowVectorXi picks;
if (pick_all)
{
//
// Pick all
//
picks.resize(raw.info.nchan);
for(k = 0; k < raw.info.nchan; ++k)
picks(k) = k;
//
}
else
{
QStringList include;
include << "STI 014";
bool want_meg = true;
bool want_eeg = false;
bool want_stim = false;
// picks = Fiff::pick_types(raw.info, want_meg, want_eeg, want_stim, include, raw.info.bads);
picks = raw.info.pick_types(want_meg, want_eeg, want_stim, include, raw.info.bads);//prefer member function
}
QStringList ch_names;
for(k = 0; k < picks.cols(); ++k)
ch_names << raw.info.ch_names[picks(0,k)];
//
// Set up projection
//
if (raw.info.projs.size() == 0)
printf("No projector specified for these data\n");
else
{
//
// Activate the projection items
//
for (k = 0; k < raw.info.projs.size(); ++k)
raw.info.projs[k].active = true;
printf("%d projection items activated\n",raw.info.projs.size());
//
// Create the projector
//
// fiff_int_t nproj = MNE::make_projector_info(raw.info, raw.proj); Using the member function instead
fiff_int_t nproj = raw.info.make_projector(raw.proj);
if (nproj == 0)
{
printf("The projection vectors do not apply to these channels\n");
}
else
{
printf("Created an SSP operator (subspace dimension = %d)\n",nproj);
}
}
//
// Set up the CTF compensator
//
// qint32 current_comp = MNE::get_current_comp(raw.info);
qint32 current_comp = raw.info.get_current_comp();
if (current_comp > 0)
printf("Current compensation grade : %d\n",current_comp);
if (keep_comp)
dest_comp = current_comp;
if (current_comp != dest_comp)
{
qDebug() << "This part needs to be debugged";
if(MNE::make_compensator(raw.info, current_comp, dest_comp, raw.comp))
{
// raw.info.chs = MNE::set_current_comp(raw.info.chs,dest_comp);
raw.info.set_current_comp(dest_comp);
printf("Appropriate compensator added to change to grade %d.\n",dest_comp);
}
else
{
printf("Could not make the compensator\n");
return 0;
}
}
//
// Read the events
//
QFile t_EventFile;
MatrixXi events;
if (t_sEventName.size() == 0)
{
p = t_fileRaw.fileName().indexOf(".fif");
if (p > 0)
{
t_sEventName = t_fileRaw.fileName().replace(p, 4, "-eve.fif");
}
else
{
printf("Raw file name does not end properly\n");
return 0;
}
// events = mne_read_events(t_sEventName);
t_EventFile.setFileName(t_sEventName);
MNE::read_events(t_EventFile, events);
printf("Events read from %s\n",t_sEventName.toUtf8().constData());
}
else
{
//
// Binary file
//
p = t_fileRaw.fileName().indexOf(".fif");
if (p > 0)
{
t_EventFile.setFileName(t_sEventName);
if(!MNE::read_events(t_EventFile, events))
{
printf("Error while read events.\n");
return 0;
}
printf("Binary event file %s read\n",t_sEventName.toUtf8().constData());
}
else
{
//
// Text file
//
printf("Text file %s is not supported jet.\n",t_sEventName.toUtf8().constData());
// try
// events = load(eventname);
// catch
// error(me,mne_omit_first_line(lasterr));
// end
// if size(events,1) < 1
// error(me,'No data in the event file');
// end
// //
// // Convert time to samples if sample number is negative
// //
// for p = 1:size(events,1)
// if events(p,1) < 0
// events(p,1) = events(p,2)*raw.info.sfreq;
// end
// end
// //
// // Select the columns of interest (convert to integers)
// //
// events = int32(events(:,[1 3 4]));
// //
// // New format?
// //
// if events(1,2) == 0 && events(1,3) == 0
// fprintf(1,'The text event file %s is in the new format\n',eventname);
// if events(1,1) ~= raw.first_samp
// error(me,'This new format event file is not compatible with the raw data');
// end
// else
// fprintf(1,'The text event file %s is in the old format\n',eventname);
// //
// // Offset with first sample
// //
// events(:,1) = events(:,1) + raw.first_samp;
// end
}
}
//
// Select the desired events
//
qint32 count = 0;
MatrixXi selected = MatrixXi::Zero(1, events.rows());
for (p = 0; p < events.rows(); ++p)
{
if (events(p,1) == 0 && events(p,2) == event)
{
selected(0,count) = p;
++count;
}
}
selected.conservativeResize(1, count);
if (count > 0)
printf("%d matching events found\n",count);
else
{
printf("No desired events found.\n");
return 0;
}
fiff_int_t event_samp, from, to;
MatrixXd timesDummy;
MNEEpochDataList data;
MNEEpochData* epoch = NULL;
MatrixXd times;
for (p = 0; p < count; ++p)
{
//
// Read a data segment
//
event_samp = events(selected(p),0);
from = event_samp + tmin*raw.info.sfreq;
to = event_samp + floor(tmax*raw.info.sfreq + 0.5);
epoch = new MNEEpochData();
if(raw.read_raw_segment(epoch->epoch, timesDummy, from, to, picks))
{
if (p == 0)
{
times.resize(1, to-from+1);
for (qint32 i = 0; i < times.cols(); ++i)
times(0, i) = ((float)(from-event_samp+i)) / raw.info.sfreq;
}
epoch->event = event;
epoch->tmin = ((float)(from)-(float)(raw.first_samp))/raw.info.sfreq;
epoch->tmax = ((float)(to)-(float)(raw.first_samp))/raw.info.sfreq;
data.append(MNEEpochData::SPtr(epoch));//List takes ownwership of the pointer - no delete need
}
else
{
printf("Can't read the event data segments");
return 0;
}
}
if(data.size() > 0)
{
printf("Read %d epochs, %d samples each.\n",data.size(),(qint32)data[0]->epoch.cols());
//DEBUG
std::cout << data[0]->epoch.block(0,0,10,10) << std::endl;
qDebug() << data[0]->epoch.rows() << " x " << data[0]->epoch.cols();
std::cout << times.block(0,0,1,10) << std::endl;
qDebug() << times.rows() << " x " << times.cols();
}
// Calculate the average
// Option 1 - Random selection
VectorXi vecSel(50);
srand (time(NULL)); // initialize random seed
for(qint32 i = 0; i < vecSel.size(); ++i)
{
qint32 val = rand() % count;
vecSel(i) = val;
}
// //Option 3 - Take all epochs
// VectorXi vecSel(data.size());
// for(qint32 i = 0; i < vecSel.size(); ++i)
// {
// vecSel(i) = i;
// }
// //Option 3 - Manual selection
// VectorXi vecSel(20);
// vecSel << 76, 74, 13, 61, 97, 94, 75, 71, 60, 56, 26, 57, 56, 0, 52, 72, 33, 86, 96, 67;
std::cout << "Select following epochs to average:\n" << vecSel << std::endl;
FiffEvoked evoked = data.average(raw.info, tmin*raw.info.sfreq, floor(tmax*raw.info.sfreq + 0.5), vecSel);
//########################################################################################
// Source Estimate
//
// Settings
//
double snr = parser.value(snrOption).toDouble();
QString method(parser.value(methodOption));
QString t_sFileNameClusteredInv(parser.value(invFileOutOption));
QString t_sFileNameStc(parser.value(stcFileOutOption));
double lambda2 = 1.0 / pow(snr, 2);
qDebug() << "Start calculation with: SNR" << snr << "; Lambda" << lambda2 << "; Method" << method << "; stc:" << t_sFileNameStc;
//
// Load data
//
MNEForwardSolution t_Fwd(t_fileFwd);
if(t_Fwd.isEmpty())
return 1;
FiffCov noise_cov(t_fileCov);
//
// regularize noise covariance
//
noise_cov = noise_cov.regularize(evoked.info, 0.05, 0.05, 0.1, true);
//
// Cluster forward solution;
//
MatrixXd D;
MNEForwardSolution t_clusteredFwd = t_Fwd.cluster_forward_solution(t_annotationSet, 20, D, noise_cov, evoked.info);
//
// make an inverse operators
//
FiffInfo info = evoked.info;
MNEInverseOperator inverse_operator(info, t_clusteredFwd, noise_cov, 0.2f, 0.8f);
//
// save clustered inverse
//
if(!t_sFileNameClusteredInv.isEmpty())
{
QFile t_fileClusteredInverse(t_sFileNameClusteredInv);
inverse_operator.write(t_fileClusteredInverse);
}
//
// Compute inverse solution
//
MinimumNorm minimumNorm(inverse_operator, lambda2, method);
#ifdef BENCHMARK
//
// Set up the inverse according to the parameters
//
minimumNorm.doInverseSetup(vecSel.size(),false);
MNESourceEstimate sourceEstimate;
QList<qint64> qVecElapsedTime;
for(qint32 i = 0; i < 100; ++i)
{
//Benchmark time
QElapsedTimer timer;
timer.start();
sourceEstimate = minimumNorm.calculateInverse(evoked.data, evoked.times(0), evoked.times(1)-evoked.times(0));
qVecElapsedTime.append(timer.elapsed());
}
double meanTime = 0.0;
qint32 offset = 19;
qint32 c = 0;
for(qint32 i = offset; i < qVecElapsedTime.size(); ++i)
{
meanTime += qVecElapsedTime[i];
++c;
}
meanTime /= (double)c;
double varTime = 0;
for(qint32 i = offset; i < qVecElapsedTime.size(); ++i)
varTime += pow(qVecElapsedTime[i] - meanTime,2);
varTime /= (double)c - 1.0f;
varTime = sqrt(varTime);
qDebug() << "MNE calculation took" << meanTime << "+-" << varTime << "ms in average";
#else
MNESourceEstimate sourceEstimate = minimumNorm.calculateInverse(evoked);
#endif
if(sourceEstimate.isEmpty())
return 1;
// View activation time-series
std::cout << "\nsourceEstimate:\n" << sourceEstimate.data.block(0,0,10,10) << std::endl;
std::cout << "time\n" << sourceEstimate.times.block(0,0,1,10) << std::endl;
std::cout << "timeMin\n" << sourceEstimate.times[0] << std::endl;
std::cout << "timeMax\n" << sourceEstimate.times[sourceEstimate.times.size()-1] << std::endl;
std::cout << "time step\n" << sourceEstimate.tstep << std::endl;
//Condition Numbers
// MatrixXd mags(102, t_Fwd.sol->data.cols());
// qint32 count = 0;
// for(qint32 i = 2; i < 306; i += 3)
// {
// mags.row(count) = t_Fwd.sol->data.row(i);
// ++count;
// }
// MatrixXd magsClustered(102, t_clusteredFwd.sol->data.cols());
// count = 0;
// for(qint32 i = 2; i < 306; i += 3)
// {
// magsClustered.row(count) = t_clusteredFwd.sol->data.row(i);
// ++count;
// }
// MatrixXd grads(204, t_Fwd.sol->data.cols());
// count = 0;
// for(qint32 i = 0; i < 306; i += 3)
// {
// grads.row(count) = t_Fwd.sol->data.row(i);
// ++count;
// grads.row(count) = t_Fwd.sol->data.row(i+1);
// ++count;
// }
// MatrixXd gradsClustered(204, t_clusteredFwd.sol->data.cols());
// count = 0;
// for(qint32 i = 0; i < 306; i += 3)
// {
// gradsClustered.row(count) = t_clusteredFwd.sol->data.row(i);
// ++count;
// gradsClustered.row(count) = t_clusteredFwd.sol->data.row(i+1);
// ++count;
// }
VectorXd s;
double t_dConditionNumber = MNEMath::getConditionNumber(t_Fwd.sol->data, s);
double t_dConditionNumberClustered = MNEMath::getConditionNumber(t_clusteredFwd.sol->data, s);
std::cout << "Condition Number:\n" << t_dConditionNumber << std::endl;
std::cout << "Clustered Condition Number:\n" << t_dConditionNumberClustered << std::endl;
std::cout << "ForwardSolution" << t_Fwd.sol->data.block(0,0,10,10) << std::endl;
std::cout << "Clustered ForwardSolution" << t_clusteredFwd.sol->data.block(0,0,10,10) << std::endl;
// double t_dConditionNumberMags = MNEMath::getConditionNumber(mags, s);
// double t_dConditionNumberMagsClustered = MNEMath::getConditionNumber(magsClustered, s);
// std::cout << "Condition Number Magnetometers:\n" << t_dConditionNumberMags << std::endl;
// std::cout << "Clustered Condition Number Magnetometers:\n" << t_dConditionNumberMagsClustered << std::endl;
// double t_dConditionNumberGrads = MNEMath::getConditionNumber(grads, s);
// double t_dConditionNumberGradsClustered = MNEMath::getConditionNumber(gradsClustered, s);
// std::cout << "Condition Number Gradiometers:\n" << t_dConditionNumberGrads << std::endl;
// std::cout << "Clustered Condition Number Gradiometers:\n" << t_dConditionNumberGradsClustered << std::endl;
//Source Estimate end
//########################################################################################
// //only one time point - P100
// qint32 sample = 0;
// for(qint32 i = 0; i < sourceEstimate.times.size(); ++i)
// {
// if(sourceEstimate.times(i) >= 0)
// {
// sample = i;
// break;
// }
// }
// sample += (qint32)ceil(0.106/sourceEstimate.tstep); //100ms
// sourceEstimate = sourceEstimate.reduce(sample, 1);
View3D::SPtr testWindow = View3D::SPtr(new View3D());
Data3DTreeModel::SPtr p3DDataModel = Data3DTreeModel::SPtr(new Data3DTreeModel());
testWindow->setModel(p3DDataModel);
p3DDataModel->addSurfaceSet(parser.value(subjectOption), "MRI", t_surfSet, t_annotationSet);
if(MneEstimateTreeItem* pRTDataItem = p3DDataModel->addSourceData(parser.value(subjectOption), evoked.comment, sourceEstimate, t_clusteredFwd)) {
pRTDataItem->setLoopState(true);
pRTDataItem->setTimeInterval(17);
pRTDataItem->setNumberAverages(1);
pRTDataItem->setStreamingActive(true);
pRTDataItem->setNormalization(QVector3D(0.0,0.5,20.0));
pRTDataItem->setVisualizationType("Smoothing based");
pRTDataItem->setColortable("Hot");
}
testWindow->show();
Control3DWidget::SPtr control3DWidget = Control3DWidget::SPtr(new Control3DWidget());
control3DWidget->init(p3DDataModel, testWindow);
control3DWidget->show();
if(!t_sFileNameStc.isEmpty())
{
QFile t_fileClusteredStc(t_sFileNameStc);
sourceEstimate.write(t_fileClusteredStc);
}
return a.exec();
}