// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
int32_t MergeColonies::getSeed(int32_t newFid)
{
setErrorCondition(0);
int32_t numfeatures = static_cast<int32_t>(m_FeaturePhasesPtr.lock()->getNumberOfTuples());
SIMPL_RANDOMNG_NEW()
int32_t seed = -1;
int32_t randfeature = 0;
// Precalculate some constants
int32_t totalFMinus1 = numfeatures - 1;
size_t counter = 0;
randfeature = int32_t(float(rg.genrand_res53()) * float(totalFMinus1));
while (seed == -1 && counter < numfeatures)
{
if (randfeature > totalFMinus1) { randfeature = randfeature - numfeatures; }
if (m_FeatureParentIds[randfeature] == -1) { seed = randfeature; }
randfeature++;
counter++;
}
if (seed >= 0)
{
m_FeatureParentIds[seed] = newFid;
QVector<size_t> tDims(1, newFid + 1);
getDataContainerArray()->getDataContainer(m_FeatureIdsArrayPath.getDataContainerName())->getAttributeMatrix(getNewCellFeatureAttributeMatrixName())->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
}
return seed;
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
void LinkFeatureMapToElementArray::execute()
{
setErrorCondition(0);
dataCheck();
if(getErrorCondition() < 0) { return; }
DataContainer::Pointer m = getDataContainerArray()->getDataContainer(getSelectedCellArrayPath().getDataContainerName());
size_t totalPoints = m_SelectedCellDataPtr.lock()->getNumberOfTuples();
int32_t maxIndex = 0;
std::vector<bool> active;
for (size_t i = 0; i < totalPoints; i++)
{
int32_t index = m_SelectedCellData[i];
if ((index + 1) > maxIndex)
{
active.resize(index + 1);
active[index] = true;
maxIndex = index + 1;
}
}
QVector<size_t> tDims(1, maxIndex);
m->getAttributeMatrix(getCellFeatureAttributeMatrixName())->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
for (int32_t i = 0; i < maxIndex; i++)
{
m_Active[i] = active[i];
}
notifyStatusMessage(getHumanLabel(), "Complete");
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
int64_t EBSDSegmentFeatures::getSeed(int32_t gnum)
{
setErrorCondition(0);
DataContainer::Pointer m = getDataContainerArray()->getDataContainer(getDataContainerName());
size_t totalPoints = m_FeatureIdsPtr.lock()->getNumberOfTuples();
int64_t seed = -1;
Generator& numberGenerator = *m_NumberGenerator;
while (seed == -1 && m_TotalRandomNumbersGenerated < totalPoints)
{
// Get the next voxel index in the precomputed list of voxel seeds
int64_t randpoint = numberGenerator();
m_TotalRandomNumbersGenerated++; // Increment this counter
if (m_FeatureIds[randpoint] == 0) // If the GrainId of the voxel is ZERO then we can use this as a seed point
{
if ((m_UseGoodVoxels == false || m_GoodVoxels[randpoint] == true) && m_CellPhases[randpoint] > 0)
{
seed = randpoint;
}
}
}
if (seed >= 0)
{
m_FeatureIds[seed] = gnum;
QVector<size_t> tDims(1, gnum + 1);
m->getAttributeMatrix(getCellFeatureAttributeMatrixName())->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
}
return seed;
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
int64_t EBSDSegmentFeatures::getSeed(int32_t gnum, int64_t nextSeed)
{
setErrorCondition(0);
DataContainer::Pointer m = getDataContainerArray()->getDataContainer(getDataContainerName());
size_t totalPoints = m_FeatureIdsPtr.lock()->getNumberOfTuples();
int64_t seed = -1;
// start with the next voxel after the last seed
size_t randpoint = static_cast<size_t>(nextSeed);
while (seed == -1 && randpoint < totalPoints)
{
if (m_FeatureIds[randpoint] == 0) // If the GrainId of the voxel is ZERO then we can use this as a seed point
{
if ((m_UseGoodVoxels == false || m_GoodVoxels[randpoint] == true) && m_CellPhases[randpoint] > 0)
{
seed = randpoint;
}
else { randpoint += 1; }
}
else { randpoint += 1; }
}
if (seed >= 0)
{
m_FeatureIds[seed] = gnum;
QVector<size_t> tDims(1, gnum + 1);
m->getAttributeMatrix(getCellFeatureAttributeMatrixName())->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
}
return seed;
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
int32_t GroupMicroTextureRegions::getSeed(int32_t newFid)
{
setErrorCondition(0);
int32_t numfeatures = static_cast<int32_t>(m_FeaturePhasesPtr.lock()->getNumberOfTuples());
float c1[3] = { 0.0f, 0.0f, 0.0f };
uint32_t phase1 = 0;
QuatF* avgQuats = reinterpret_cast<QuatF*>(m_AvgQuats);
float caxis[3] = { 0.0f, 0.0f, 1.0f };
QuatF q1 = QuaternionMathF::New();
float g1[3][3] = { { 0.0f, 0.0f, 0.0f }, { 0.0f, 0.0f, 0.0f } };
float g1t[3][3] = { { 0.0f, 0.0f, 0.0f }, { 0.0f, 0.0f, 0.0f } };
SIMPL_RANDOMNG_NEW()
int32_t seed = -1;
int32_t randfeature = 0;
// Precalculate some constants
int32_t totalFMinus1 = numfeatures - 1;
size_t counter = 0;
randfeature = int32_t(float(rg.genrand_res53()) * float(totalFMinus1));
while (seed == -1 && counter < numfeatures)
{
if (randfeature > totalFMinus1) { randfeature = randfeature - numfeatures; }
if (m_FeatureParentIds[randfeature] == -1) { seed = randfeature; }
randfeature++;
counter++;
}
if (seed >= 0)
{
m_FeatureParentIds[seed] = newFid;
QVector<size_t> tDims(1, newFid + 1);
getDataContainerArray()->getDataContainer(m_FeatureIdsArrayPath.getDataContainerName())->getAttributeMatrix(getNewCellFeatureAttributeMatrixName())->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
if (m_UseRunningAverage == true)
{
QuaternionMathF::Copy(avgQuats[seed], q1);
phase1 = m_CrystalStructures[m_FeaturePhases[seed]];
FOrientArrayType om(9);
FOrientTransformsType::qu2om(FOrientArrayType(q1), om);
om.toGMatrix(g1);
// transpose the g matrix so when caxis is multiplied by it
// it will give the sample direction that the caxis is along
MatrixMath::Transpose3x3(g1, g1t);
MatrixMath::Multiply3x3with3x1(g1t, caxis, c1);
// normalize so that the dot product can be taken below without
// dividing by the magnitudes (they would be 1)
MatrixMath::Normalize3x1(c1);
MatrixMath::Copy3x1(c1, avgCaxes);
MatrixMath::Multiply3x1withConstant(avgCaxes, m_Volumes[seed]);
}
}
return seed;
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
void VectorSegmentFeatures::execute()
{
setErrorCondition(0);
dataCheck();
if(getErrorCondition() < 0) { return; }
DataContainer::Pointer m = getDataContainerArray()->getDataContainer(getDataContainerName());
QVector<size_t> tDims(1, 1);
m->getAttributeMatrix(getCellFeatureAttributeMatrixName())->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
int64_t totalPoints = static_cast<int64_t>(m_FeatureIdsPtr.lock()->getNumberOfTuples());
m_BeenPickedPtr = BoolArrayType::CreateArray(totalPoints, "BeenPicked INTERNAL ARRAY ONLY");
m_BeenPickedPtr->initializeWithValue(0);
m_BeenPicked = m_BeenPickedPtr->getPointer(0);
// Convert user defined tolerance to radians.
angleTolerance = m_AngleTolerance * SIMPLib::Constants::k_Pi / 180.0f;
// Generate the random voxel indices that will be used for the seed points to start a new grain growth/agglomeration
const int64_t rangeMin = 0;
const int64_t rangeMax = totalPoints - 1;
initializeVoxelSeedGenerator(rangeMin, rangeMax);
SegmentFeatures::execute();
int32_t totalFeatures = static_cast<int32_t>(m->getAttributeMatrix(getCellFeatureAttributeMatrixName())->getNumTuples());
if (totalFeatures < 2)
{
setErrorCondition(-87000);
notifyErrorMessage(getHumanLabel(), "The number of Features was 0 or 1 which means no Features were detected. A threshold value may be set too high", getErrorCondition());
return;
}
// By default we randomize grains
if (true == m_RandomizeFeatureIds)
{
randomizeFeatureIds(totalPoints, totalFeatures);
}
// If there is an error set this to something negative and also set a message
notifyStatusMessage(getHumanLabel(), "Completed");
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
void EBSDSegmentFeatures::execute()
{
setErrorCondition(0);
dataCheck();
if(getErrorCondition() < 0) { return; }
DataContainer::Pointer m = getDataContainerArray()->getDataContainer(getDataContainerName());
int64_t totalPoints = static_cast<int64_t>(m_FeatureIdsPtr.lock()->getNumberOfTuples());
QVector<size_t> tDims(1, 1);
m->getAttributeMatrix(getCellFeatureAttributeMatrixName())->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
// Convert user defined tolerance to radians.
misoTolerance = m_MisorientationTolerance * DREAM3D::Constants::k_Pi / 180.0f;
// Generate the random voxel indices that will be used for the seed points to start a new grain growth/agglomeration
const int64_t rangeMin = 0;
const int64_t rangeMax = totalPoints - 1;
initializeVoxelSeedGenerator(rangeMin, rangeMax);
SegmentFeatures::execute();
int64_t totalFeatures = static_cast<int64_t>(m_ActivePtr.lock()->getNumberOfTuples());
if (totalFeatures < 2)
{
setErrorCondition(-87000);
notifyErrorMessage(getHumanLabel(), "The number of Features was 0 or 1 which means no Features were detected. A threshold value may be set too high", getErrorCondition());
return;
}
// By default we randomize grains
if (true == getRandomizeFeatureIds())
{
totalPoints = static_cast<int64_t>(m->getGeometryAs<ImageGeom>()->getNumberOfElements());
randomizeFeatureIds(totalPoints, totalFeatures);
}
// If there is an error set this to something negative and also set a message
notifyStatusMessage(getHumanLabel(), "Complete");
}
void YSChoiAbaqusReader::execute()
{
dataCheck();
DataContainer::Pointer m = getDataContainerArray()->getDataContainer(getDataContainerName());
int xpoints, ypoints, zpoints, totalpoints = 0;
float resx, resy, resz;
float** *mat = NULL;
//const unsigned int size(1024);
// Read header from data file to figure out how many points there are
QFile in(getInputFile());
if (!in.open(QIODevice::ReadOnly | QIODevice::Text))
{
QString msg = QObject::tr("Abaqus file could not be opened: %1").arg(getInputFile());
setErrorCondition(-100);
notifyErrorMessage(getHumanLabel(), "", getErrorCondition());
return;
}
QString word;
bool ok = false;
bool headerdone = false;
while (headerdone == false)
{
QByteArray buf = in.readLine();
if (buf.startsWith(DIMS))
{
QList<QByteArray> tokens = buf.split(' ');
xpoints = tokens[1].toInt(&ok, 10);
ypoints = tokens[2].toInt(&ok, 10);
zpoints = tokens[3].toInt(&ok, 10);
totalpoints = xpoints * ypoints * zpoints;
size_t dims[3] = { static_cast<size_t>(xpoints), static_cast<size_t>(ypoints), static_cast<size_t>(zpoints) };
m->getGeometryAs<ImageGeom>()->setDimensions(dims);
m->getGeometryAs<ImageGeom>()->setOrigin(0, 0, 0);
}
if (buf.startsWith(RES))
{
QList<QByteArray> tokens = buf.split(' ');
resx = tokens[1].toInt(&ok, 10);
resy = tokens[2].toInt(&ok, 10);
resz = tokens[3].toInt(&ok, 10);
float res[3] = {resx, resy, resz};
m->getGeometryAs<ImageGeom>()->setResolution(res);
}
if (buf.startsWith(LOOKUP))
{
headerdone = true;
word = QString(buf);
}
}
// Read header from grain info file to figure out how many features there are
QFile in2(getInputFeatureInfoFile());
if (!in2.open(QIODevice::ReadOnly | QIODevice::Text))
{
QString msg = QObject::tr("Abaqus Feature Info file could not be opened: %1").arg(getInputFeatureInfoFile());
setErrorCondition(-100);
notifyErrorMessage(getHumanLabel(), "", getErrorCondition());
return;
}
int numfeatures;
QByteArray buf = in2.readLine();
numfeatures = buf.toInt(&ok, 10);
buf = in2.readLine();
QList<QByteArray> tokens = buf.split(' ');
// in2 >> word >> word >> word >> word >> word >> word;
QVector<size_t> tDims(3, 0);
tDims[0] = xpoints;
tDims[1] = ypoints;
tDims[2] = zpoints;
m->getAttributeMatrix(getCellAttributeMatrixName())->resizeAttributeArrays(tDims);
tDims.resize(1);
tDims[0] = numfeatures + 1;
m->getAttributeMatrix(getCellFeatureAttributeMatrixName())->resizeAttributeArrays(tDims);
tDims[0] = 2;
m->getAttributeMatrix(getCellEnsembleAttributeMatrixName())->resizeAttributeArrays(tDims);
updateCellInstancePointers();
updateFeatureInstancePointers();
updateEnsembleInstancePointers();
//Read data file
int gnum = 0;
bool onedge = false;
int col, row, plane;
float value;
for (int i = 0; i < totalpoints; i++)
{
mat[i] = new float *[3];
for(int j = 0; j < 3; j++)
{
mat[i][j] = new float [3];
}
onedge = false;
gnum = tokens[6].toInt(&ok, 10);
col = i % xpoints;
row = (i / xpoints) % ypoints;
plane = i / (xpoints * ypoints);
if (col == 0 || col == (xpoints - 1) || row == 0 || row == (ypoints - 1) || plane == 0 || plane == (zpoints - 1)) { onedge = true; }
m_FeatureIds[i] = gnum;
m_SurfaceFeatures[gnum] = onedge;
}
for (int iter1 = 0; iter1 < 3; iter1++)
{
for (int iter2 = 0; iter2 < 3; iter2++)
{
headerdone = false;
while (headerdone == false)
{
buf = in2.readLine();
if (buf.startsWith(LOOKUP))
{
headerdone = true;
//in >> word;
}
}
for (int i = 0; i < totalpoints; i++)
{
onedge = 0;
value = buf.toInt(&ok, 10);
mat[i][iter1][iter2] = value;
}
}
}
//Read feature info
QuatF* avgQuats = reinterpret_cast<QuatF*>(m_AvgQuats);
avgQuats[0].x = 0.0;
avgQuats[0].y = 0.0;
avgQuats[0].z = 0.0;
avgQuats[0].w = 0.0;
for (int i = 1; i < numfeatures + 1; i++)
{
buf = in2.readLine();
tokens = buf.split(' ');
gnum = tokens[0].toInt(&ok, 10);
avgQuats[i].x = tokens[2].toFloat(&ok);
avgQuats[i].y = tokens[3].toFloat(&ok);
avgQuats[i].z = tokens[4].toFloat(&ok);
avgQuats[i].w = tokens[5].toFloat(&ok);
}
QuatF q;
QuatF* quats = reinterpret_cast<QuatF*>(m_Quats);
float g[3][3];
for(int i = 0; i < (xpoints * ypoints * zpoints); i++)
{
for(int j = 0; j < 3; j++)
{
for(int k = 0; k < 3; k++)
{
g[j][k] = mat[i][j][k];
}
}
MatrixMath::Normalize3x3(g);
q.w = static_cast<float>( sqrt((1.0 + g[0][0] + g[1][1] + g[2][2])) / 2.0 );
q.x = static_cast<float>( (g[1][2] - g[2][1]) / (4.0 * q.w) );
q.y = static_cast<float>( (g[2][0] - g[0][2]) / (4.0 * q.w) );
q.z = static_cast<float>( (g[0][1] - g[1][0]) / (4.0 * q.w) );
QuaternionMathF::Copy(q, quats[i]);
FOrientArrayType eu(m_CellEulerAngles + (3 * i), 3);
FOrientTransformsType::qu2eu(FOrientArrayType(q), eu);
delete[] mat[i];
}
delete[] mat;
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
void EstablishMatrixPhase::establish_matrix()
{
notifyStatusMessage(getHumanLabel(), "Establishing Matrix");
SIMPL_RANDOMNG_NEW()
DataContainer::Pointer m = getDataContainerArray()->getDataContainer(getOutputCellAttributeMatrixPath().getDataContainerName());
StatsDataArray& statsDataArray = *(m_StatsDataArray.lock());
size_t udims[3] =
{ 0, 0, 0 };
m->getGeometryAs<ImageGeom>()->getDimensions(udims);
#if (CMP_SIZEOF_SIZE_T == 4)
typedef int32_t DimType;
#else
typedef int64_t DimType;
#endif
DimType dims[3] =
{
static_cast<DimType>(udims[0]),
static_cast<DimType>(udims[1]),
static_cast<DimType>(udims[2]),
};
sizex = dims[0] * m->getGeometryAs<ImageGeom>()->getXRes();
sizey = dims[1] * m->getGeometryAs<ImageGeom>()->getYRes();
sizez = dims[2] * m->getGeometryAs<ImageGeom>()->getZRes();
totalvol = sizex * sizey * sizez;
size_t totalPoints = m_FeatureIdsPtr.lock()->getNumberOfTuples();
size_t currentnumfeatures = m_FeaturePhasesPtr.lock()->getNumberOfTuples();
size_t numensembles = m_PhaseTypesPtr.lock()->getNumberOfTuples();
QVector<size_t> tDims(1, 1);
if (currentnumfeatures == 0)
{
m->getAttributeMatrix(m_OutputCellFeatureAttributeMatrixName)->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
currentnumfeatures = 1;
}
firstMatrixFeature = currentnumfeatures;
float random = 0.0f;
float totalmatrixfractions = 0.0f;
for (size_t i = 1; i < numensembles; ++i)
{
if (m_PhaseTypes[i] == DREAM3D::PhaseType::MatrixPhase)
{
MatrixStatsData* mp = MatrixStatsData::SafePointerDownCast(statsDataArray[i].get());
if (NULL == mp)
{
QString ss = QObject::tr("Tried to cast a statsDataArray[%1].get() to a MatrixStatsData* "
"pointer but this resulted in a NULL pointer. The value at m_PhaseTypes[%2] = %3 does not match up "
"with the type of pointer stored in the StatsDataArray (MatrixStatsData)\n")
.arg(i).arg(i).arg(m_PhaseTypes[i]);
notifyErrorMessage(getHumanLabel(), ss, -666);
setErrorCondition(-666);
return;
}
matrixphases.push_back(i);
matrixphasefractions.push_back(mp->getPhaseFraction());
totalmatrixfractions = totalmatrixfractions + mp->getPhaseFraction();
}
}
for (int32_t i = 0; i < matrixphases.size(); i++)
{
matrixphasefractions[i] = matrixphasefractions[i] / totalmatrixfractions;
if (i > 0) { matrixphasefractions[i] = matrixphasefractions[i] + matrixphasefractions[i - 1]; }
}
size_t j = 0;
for (size_t i = 0; i < totalPoints; ++i)
{
if ((m_UseMask == false && m_FeatureIds[i] <= 0) || (m_UseMask == true && m_Mask[i] == true && m_FeatureIds[i] <= 0))
{
random = static_cast<float>( rg.genrand_res53() );
j = 0;
while (random > matrixphasefractions[j])
{
j++;
}
if (m->getAttributeMatrix(m_OutputCellFeatureAttributeMatrixName)->getNumTuples() <= (firstMatrixFeature + j))
{
tDims[0] = (firstMatrixFeature + j) + 1;
m->getAttributeMatrix(m_OutputCellFeatureAttributeMatrixName)->resizeAttributeArrays(tDims);
updateFeatureInstancePointers();
m_NumFeatures[j] = 1;
}
m_FeatureIds[i] = (firstMatrixFeature + j);
m_CellPhases[i] = matrixphases[j];
m_FeaturePhases[(firstMatrixFeature + j)] = matrixphases[j];
}
else if (m_UseMask == true && m_Mask[i] == false)
{
m_FeatureIds[i] = 0;
m_CellPhases[i] = 0;
}
}
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
int32_t FeatureInfoReader::readFile()
{
setErrorCondition(0);
dataCheck();
if(getErrorCondition() < 0) { return getErrorCondition(); }
DataContainer::Pointer m = getDataContainerArray()->getDataContainer(m_FeatureIdsArrayPath.getDataContainerName());
AttributeMatrix::Pointer cellFeatureAttrMat = m->getAttributeMatrix(getCellFeatureAttributeMatrixName());
std::ifstream inFile;
inFile.open(getInputFile().toLatin1().data(), std::ios_base::binary);
if (!inFile)
{
QString ss = QObject::tr("Error opening input file: %1").arg(getInputFile());
setErrorCondition(-1);
notifyErrorMessage(getHumanLabel(), ss, getErrorCondition());
return getErrorCondition();
}
int32_t numfeatures = 0;
int32_t gnum = 0, phase = 0;
int32_t maxphase = 0;
float ea1 = 0.0f, ea2 = 0.0f, ea3 = 0.0f;
inFile >> numfeatures;
if (0 == numfeatures)
{
QString ss = QObject::tr("The number of Features (%1) specified in the file must be greater than zero").arg(numfeatures);
setErrorCondition(-600);
notifyErrorMessage(getHumanLabel(), ss, getErrorCondition());
return getErrorCondition();
}
size_t totalPoints = m_FeatureIdsPtr.lock()->getNumberOfTuples();
int32_t maxFeatureId = 0;
for (size_t i = 0; i < totalPoints; i++)
{
if (m_FeatureIds[i] > maxFeatureId)
{
maxFeatureId = m_FeatureIds[i];
}
}
if (numfeatures != maxFeatureId)
{
QString ss = QObject::tr("The number of Features (%1) specified in the file does not correspond to the maximum Feature Id (%2) in the selected Feature Ids array").arg(numfeatures).arg(maxFeatureId);
setErrorCondition(-600);
notifyErrorMessage(getHumanLabel(), ss, getErrorCondition());
return getErrorCondition();
}
QVector<size_t> tDims(1, numfeatures + 1);
cellFeatureAttrMat->setTupleDimensions(tDims);
updateFeatureInstancePointers();
for (int32_t i = 0; i < numfeatures; i++)
{
inFile >> gnum >> phase >> ea1 >> ea2 >> ea3;
if (gnum > maxFeatureId)
{
QString ss = QObject::tr("A Feature Id (%1) specified in the file is larger than the maximum Feature Id (%2) in the selected Feature Ids array").arg(numfeatures).arg(maxFeatureId);
setErrorCondition(-600);
notifyErrorMessage(getHumanLabel(), ss, getErrorCondition());
return getErrorCondition();
}
m_FeatureEulerAngles[3 * gnum] = ea1;
m_FeatureEulerAngles[3 * gnum + 1] = ea2;
m_FeatureEulerAngles[3 * gnum + 2] = ea3;
m_FeaturePhases[gnum] = phase;
if (phase > maxphase) { maxphase = phase; }
}
if (m_CreateCellLevelArrays == true)
{
for (size_t i = 0; i < totalPoints; i++)
{
gnum = m_FeatureIds[i];
m_CellEulerAngles[3 * i] = m_FeatureEulerAngles[3 * gnum];
m_CellEulerAngles[3 * i + 1] = m_FeatureEulerAngles[3 * gnum + 1];
m_CellEulerAngles[3 * i + 2] = m_FeatureEulerAngles[3 * gnum + 2];
m_CellPhases[i] = m_FeaturePhases[gnum];
}
}
if (m_RenumberFeatures == true)
{
size_t totalFeatures = cellFeatureAttrMat->getNumTuples();
// Find the unique set of feature ids
QVector<bool> activeObjects(totalFeatures, false);
for (size_t i = 0; i < totalPoints; ++i)
{
activeObjects[m_FeatureIds[i]] = true;
}
cellFeatureAttrMat->removeInactiveObjects(activeObjects, m_FeatureIdsPtr.lock());
}
notifyStatusMessage(getHumanLabel(), "Complete");
return 0;
}
