Ejemplo n.º 1
0
bool FFT::update(const MatrixFloat &x){

    if( !initialized ){
        errorLog << "update(const MatrixFloat &x) - Not initialized!" << std::endl;
        return false;
    }
    
    if( x.getNumCols() != numInputDimensions ){
        errorLog << "update(const MatrixFloat &x) - The number of columns in the inputMatrix (" << x.getNumCols() << ") does not match that of the FeatureExtraction (" << numInputDimensions << ")!" << std::endl;
        return false;
    }
    
    featureDataReady = false;
    
    for(UINT k=0; k<x.getNumRows(); k++){

        //Add the current input to the data buffers
        dataBuffer.push_back( x.getRow(k) );

        if( ++hopCounter == hopSize ){
            hopCounter = 0;
            //Compute the FFT for each dimension
            for(UINT j=0; j<numInputDimensions; j++){
                
                //Copy the input data for this dimension into the temp buffer
                for(UINT i=0; i<dataBufferSize; i++){
                    tempBuffer[i] = dataBuffer[i][j];
                }
                
                //Compute the FFT
                if( !fft[j].computeFFT( tempBuffer ) ){
                    errorLog << "update(const VectorFloat &x) - Failed to compute FFT!" << std::endl;
                    return false;
                }
            }
            
            //Flag that the fft was computed during this update
            featureDataReady = true;
            
            //Copy the FFT data to the feature vector
            UINT index = 0;
            for(UINT j=0; j<numInputDimensions; j++){
                if( computeMagnitude ){
                    Float *mag = fft[j].getMagnitudeDataPtr();
                    for(UINT i=0; i<fft[j].getFFTSize()/2; i++){
                        featureVector[index++] = *mag++;
                    }
                }
                if( computePhase ){
                    Float *phase = fft[j].getPhaseDataPtr();
                    for(UINT i=0; i<fft[j].getFFTSize()/2; i++){
                        featureVector[index++] = *phase++;
                    }
                }
            }
        }
    }
    
    return true;
}
Ejemplo n.º 2
0
ClassificationData ClassificationDataStream::getClassificationData( const bool includeNullGestures ) const {
    
    ClassificationData classificationData;
    
    classificationData.setNumDimensions( getNumDimensions() );
    classificationData.setAllowNullGestureClass( includeNullGestures );

    bool addSample = false;
    for(UINT i=0; i<timeSeriesPositionTracker.size(); i++){
        addSample = includeNullGestures ? true : timeSeriesPositionTracker[i].getClassLabel() != GRT_DEFAULT_NULL_CLASS_LABEL;
        if( addSample ){
            MatrixFloat dataSegment = getTimeSeriesData( timeSeriesPositionTracker[i] );
            for(UINT j=0; j<dataSegment.getNumRows(); j++){
                classificationData.addSample(timeSeriesPositionTracker[i].getClassLabel(), dataSegment.getRow(j) );
            }
        }
    }
    
    return classificationData;
}