void VectorDataSet::weightedSum(FeatureVector& result, const std::vector<int> &patterns,
const std::vector<double> &alpha)
{
int pIndex;
// ASA FeatureVector is an alias for vector<double>
vector<double> weight_temp (numFeatures,0);
for (unsigned int i = 0; i < patterns.size(); i++){
pIndex = patterns[i];
for (int j = 0; j != X[pIndex].size(); ++j){
weight_temp[j] += X[pIndex][j] * alpha[i];
}
}
result.clear();
result.initialize(weight_temp);
}
void Slic::_InitCenterFeature(int i, int j, FeatureVector &featureVec)
{
featureVec.clear();
uchar *buffer = new uchar[5*5*_dataSize*_bandCount];
_poSrcDS->RasterIO(GF_Read,j-2,i-2,5,5,buffer,5,5,_dataType,_bandCount,0,0,0,0);
double minEdge = std::numeric_limits<double>::max();
int minN;
int minM;
for (int n=1;n<4;++n)
{
for(int m=1;m<4;++m)
{
double edge = 0;
edge += (buffer[(n-1)*5+m]-buffer[(n+1)*5+m])*(buffer[(n-1)*5+m]-buffer[(n+1)*5+m]);
edge += (buffer[n*5+m-1]-buffer[n*5+m+1])*(buffer[n*5+m-1]-buffer[n*5+m+1]);
if (edge < minEdge)
{
minEdge = edge;
minN = n;
minM = m;
}
}
}
int centerIndex = minN*5+minM;
uchar* p = buffer;
for(int k=0;k<_bandCount;++k,p += (5*5*_dataSize))
{
featureVec.push_back( SRCVAL(p,_dataType,centerIndex)/_regularizer);
}
featureVec.push_back(static_cast<double>(j+minM-2)/_regionSize); //x
featureVec.push_back(static_cast<double>(i+minN-2)/_regionSize); //y
delete []buffer;
}
void FaceFeaturesBlock::update()
{
try
{
const Image &image = m_imageIn.getReadableRef< Image >();
if( m_haarDetectionDownscaleIn.hasChanged() )
m_faceDetection->greyImgSmlScale( m_haarDetectionDownscaleIn.getReadableRef< double >() );
if( m_cascFileFaceIn.hasChanged() )
m_faceDetection->loadFaceCascade( m_cascFileFaceIn.getReadableRef< std::string >() );
if( m_cascFileEyesIn.hasChanged() )
m_faceDetection->loadEyesCascade( m_cascFileEyesIn.getReadableRef< std::string >() );
if( m_cascFileNoseIn.hasChanged() )
m_faceDetection->loadNoseCascade( m_cascFileNoseIn.getReadableRef< std::string >() );
if( m_cascFileMouthIn.hasChanged() )
m_faceDetection->loadMouthCascade( m_cascFileMouthIn.getReadableRef< std::string >() );
if( m_haarMinNeighboursFaceIn.hasChanged() )
m_faceDetection->minNeighboursFace( m_haarMinNeighboursFaceIn.getReadableRef< unsigned int >() );
if( m_haarMinNeighboursEyesIn.hasChanged() )
m_faceDetection->minNeighboursEyes( m_haarMinNeighboursEyesIn.getReadableRef< unsigned int >() );
if( m_haarMinNeighboursNoseIn.hasChanged() )
m_faceDetection->minNeighboursNose( m_haarMinNeighboursNoseIn.getReadableRef< unsigned int >() );
if( m_haarMinNeighboursMouthIn.hasChanged() )
m_faceDetection->minNeighboursMouth( m_haarMinNeighboursMouthIn.getReadableRef< unsigned int >() );
if( m_haarMinSizeFaceIn.hasChanged() )
m_faceDetection->minSizeFace( m_haarMinSizeFaceIn.getReadableRef< Vec2 >() );
if( m_haarMinSizeEyesIn.hasChanged() )
m_faceDetection->minSizeEyes( m_haarMinSizeEyesIn.getReadableRef< Vec2 >() );
if( m_haarMinSizeNoseIn.hasChanged() )
m_faceDetection->minSizeNose( m_haarMinSizeNoseIn.getReadableRef< Vec2 >() );
if( m_haarMinSizeMouthIn.hasChanged() )
m_faceDetection->minSizeMouth( m_haarMinSizeMouthIn.getReadableRef< Vec2 >() );
if( m_equalizeHistogramIn.hasChanged() )
m_faceDetection->equalizeHist( m_equalizeHistogramIn.getReadableRef< bool >() );
if( m_haarScaleFactorIn.hasChanged() )
m_faceDetection->haarScaleFactor( m_haarScaleFactorIn.getReadableRef< double >() );
if( m_imageIn.hasUpdated() )
{
double dt = m_stopWatch->milliSeconds();
m_timeAccu += dt;
m_timeOverall += dt;
if( m_timeAccu > 1.0 )
{
m_frames = 0;
m_timeAccu = 0.0;
}
m_stopWatch->restart();
m_frames++;
FeatureVector faces;
m_faceDetection->detectFaces( image, faces );
m_faceTracking->track( faces,
m_affinityWeightPosIn.getReadableRef<double>(),
m_affinityWeightSizeIn.getReadableRef<double>(),
m_affinityThresholdIn.getReadableRef<double>(),
m_coherenceWeightDirIn.getReadableRef<double>(),
m_coherenceWeightVelIn.getReadableRef<double>(),
m_coherenceWeightSizeIn.getReadableRef<double>(),
m_coherenceThresholdIn.getReadableRef<double>(),
m_coherenceToleranceDirIn.getReadableRef<double>() / image.getWidth(),
m_coherenceToleranceVelIn.getReadableRef<double>() / image.getWidth(),
m_coherenceToleranceSizeIn.getReadableRef<double>() / image.getWidth(),
m_discardThresholdIn.getReadableRef<double>(),
m_extrapolationDampingIn.getReadableRef<double>(),
m_extrapolationCoherenceRiseIn.getReadableRef<double>(),
m_extrapolationMinSizeFace,
m_timeOverall );
if( m_faceTracking->trackingInfoList().size() )
{
for( TrackingInfoList::iterator itT = m_faceTracking->trackingInfoList().begin(); itT != m_faceTracking->trackingInfoList().end(); ++itT )
{
if( itT->getFaceTrajectory().getEntryCount() )
{
FeatureVector eyesCandidates;
FeatureVector noseCandidates;
FeatureVector mouthCandidates;
m_faceDetection->detectFeatures( image, itT->getFaceTrajectory().getLastRegion(),
eyesCandidates, noseCandidates, mouthCandidates,
m_useEyesIn.getReadableRef< bool >(),
m_useNoseIn.getReadableRef< bool >(),
m_useMouthIn.getReadableRef< bool >() );
itT->addFromFeatureCandidates( eyesCandidates, noseCandidates, mouthCandidates, m_timeOverall, m_affinityWeightPosIn.getReadableRef<double>(), m_affinityWeightSizeIn.getReadableRef<double>() );
}
}
std::vector< FaceDesc > &faces = m_faceOut.getWriteableRef< std::vector< FaceDesc > >();
faces.clear();
for( TrackingInfoList::iterator itT = m_faceTracking->trackingInfoList().begin(); itT != m_faceTracking->trackingInfoList().end(); ++itT )
{
FaceDesc desc( itT->getUserID(), itT->getFaceTrajectory().getLastRegion() );
if( m_useEyesIn.getReadableRef< bool >() )
{
if( itT->getEyeLeftTrajectory().getEntryCount() )
{
desc.eyeLeft( FeatureDesc( itT->getEyeLeftTrajectory().getLastRegion() ) );
}
if( itT->getEyeRightTrajectory().getEntryCount() )
{
desc.eyeRight( FeatureDesc( itT->getEyeRightTrajectory().getLastRegion() ) );
}
}
if( m_useNoseIn.getReadableRef< bool >() && itT->getNoseTrajectory().getEntryCount() )
{
desc.nose( FeatureDesc( itT->getNoseTrajectory().getLastRegion() ) );
}
if( m_useMouthIn.getReadableRef< bool >() && itT->getNoseTrajectory().getEntryCount() )
{
desc.mouth( FeatureDesc( itT->getMouthTrajectory().getLastRegion() ) );
}
faces.push_back( desc );
}
}
else
m_faceOut.discard();
}
else
{
m_faceOut.discard();
}
}
catch( Exception & e )
{
cout << e.message() << " " << e.what() << endl;
e.rethrow();
}
catch( std::exception & e )
{
cout << e.what() << endl;
}
}
