bool TimeDomainFeatures::saveModelToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//Write the file header
file << "GRT_TIME_DOMAIN_FEATURES_FILE_V1.0" << endl;
//Save the base settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
//Write the time domain settings to the file
file << "BufferLength: " << bufferLength << endl;
file << "NumFrames: " << numFrames << endl;
file << "OffsetInput: " << offsetInput << endl;
file << "UseMean: " << useMean << endl;
file << "UseStdDev: " << useStdDev << endl;
file << "UseEuclideanNorm: " << useEuclideanNorm << endl;
file << "UseRMS: " << useRMS << endl;
return true;
}
bool KMeansQuantizer::saveModelToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//First, you should add a header (with no spaces) e.g.
file << "KMEANS_QUANTIZER_FILE_V1.0" << endl;
//Second, you should save the base feature extraction settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
file << "QuantizerTrained: " << trained << endl;
file << "NumClusters: " << numClusters << endl;
if( trained ){
file << "Clusters: \n";
for(UINT k=0; k<numClusters; k++){
for(UINT j=0; j<numInputDimensions; j++){
file << clusters[k][j];
if( j != numInputDimensions-1 ) file << "\t";
else file << endl;
}
}
}
return true;
}
bool RBMQuantizer::save( std::fstream &file ) const{
if( !file.is_open() ){
errorLog << "save(fstream &file) - The file is not open!" << std::endl;
return false;
}
//Write the header
file << "RBM_QUANTIZER_FILE_V1.0" << std::endl;
//Save the base feature extraction settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << std::endl;
return false;
}
file << "QuantizerTrained: " << trained << std::endl;
file << "NumClusters: " << numClusters << std::endl;
if( trained ){
if( !rbm.save( file ) ){
errorLog << "save(fstream &file) - Failed to save RBM settings to file!" << std::endl;
return false;
}
}
return true;
}
bool KMeansQuantizer::saveModelToFile( std::ostream &file ) const{
//Save the header
file << "KMEANS_QUANTIZER_FILE_V1.0" << std::endl;
//Save the feature extraction base class settings
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveModelToFile(ostream &file) - Failed to save base feature extraction settings to file!" << std::endl;
return false;
}
//Save the KMeansQuantizer settings
file << "QuantizerTrained: " << trained << std::endl;
file << "NumClusters: " << numClusters << std::endl;
if( trained ){
file << "Clusters: \n";
for(UINT k=0; k<numClusters; k++){
for(UINT j=0; j<numInputDimensions; j++){
file << clusters[k][j];
if( j != numInputDimensions-1 ) file << "\t";
else file << std::endl;
}
}
}
return true;
}
bool FFT::saveModelToFile( std::fstream &file ) const{
if( !file.is_open() ){
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << std::endl;
return false;
}
//Write the file header
file << "GRT_FFT_FILE_V1.0" << std::endl;
//Save the base settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << std::endl;
return false;
}
//Write the FFT settings
file << "HopSize: " << hopSize << std::endl;
file << "FftWindowSize: " << fftWindowSize << std::endl;
file << "FftWindowFunction: " << fftWindowFunction << std::endl;
file << "ComputeMagnitude: " << computeMagnitude << std::endl;
file << "ComputePhase: " << computePhase << std::endl;
return true;
}
bool FFTFeatures::saveModelToFile( std::fstream &file ) const{
if( !file.is_open() ){
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << std::endl;
return false;
}
//Write the file header
file << "GRT_FFT_FEATURES_FILE_V1.0" << std::endl;
//Save the base settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << std::endl;
return false;
}
//Write the FFT features settings
file << "FFTWindowSize: " << fftWindowSize << std::endl;
file << "NumChannelsInFFTSignal: " << numChannelsInFFTSignal << std::endl;
file << "ComputeMaxFreqFeature: " << computeMaxFreqFeature << std::endl;
file << "ComputeMaxFreqSpectrumRatio: " << computeMaxFreqSpectrumRatio << std::endl;
file << "ComputeCentroidFeature: " << computeCentroidFeature << std::endl;
file << "ComputeTopNFreqFeatures: " << computeTopNFreqFeatures << std::endl;
file << "N: " << N << std::endl;
return true;
}
bool KMeansFeatures::saveModelToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//First, you should add a header (with no spaces) e.g.
file << "KMEANS_FEATURES_FILE_V1.0" << endl;
//Second, you should save the base feature extraction settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
file << "NumLayers: " << getNumLayers() << endl;
file << "NumClustersPerLayer: ";
for(UINT i=0; i<numClustersPerLayer.size(); i++){
file << " " << numClustersPerLayer[i];
}
file << endl;
file << "Alpha: " << alpha << endl;
if( trained ){
file << "Ranges: ";
for(UINT i=0; i<ranges.size(); i++){
file << ranges[i].minValue << " " << ranges[i].maxValue << " ";
}
file << endl;
file << "Clusters: " << endl;
for(UINT k=0; k<clusters.size(); k++){
file << "NumRows: " << clusters[k].getNumRows() << endl;
file << "NumCols: " << clusters[k].getNumCols() << endl;
for(UINT i=0; i<clusters[k].getNumRows(); i++){
for(UINT j=0; j<clusters[k].getNumCols(); j++){
file << clusters[k][i][j];
if( j+1 < clusters[k].getNumCols() )
file << "\t";
}
file << endl;
}
}
}
return true;
}
bool MovementIndex::saveModelToFile(fstream &file) const {
if( !file.is_open() ) {
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//Write the file header
file << "GRT_MOVEMENT_INDEX_FILE_V1.0" << endl;
//Save the base settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ) {
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
//Write the movement index settings to the file
file << "BufferLength: " << bufferLength << endl;
return true;
}
bool TimeseriesBuffer::save( std::fstream &file ) const{
if( !file.is_open() ){
errorLog << "save(fstream &file) - The file is not open!" << std::endl;
return false;
}
//Write the file header
file << "GRT_TIMESERIES_BUFFER_FILE_V1.0" << std::endl;
//Save the base settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << std::endl;
return false;
}
//Write the zero crossing counter settings
file << "BufferSize: " << dataBuffer.getSize() << std::endl;
return true;
}
bool ThresholdDetection::saveModelToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//Write the file header
file << "GRT_THRESHOLD_DETECTION_FILE_V1.0" << endl;
//Save the base settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
//Write the time domain settings to the file
file << "BufferLength: " << bufferLength << endl;
file << "Alpha: " << alpha << endl;
file << "Beta: " << beta << endl;
return true;
}
bool ZeroCrossingCounter::saveModelToFile( std::fstream &file ) const{
if( !file.is_open() ){
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << std::endl;
return false;
}
//Write the file header
file << "GRT_ZERO_CROSSING_COUNTER_FILE_V1.0" << std::endl;
//Save the base settings to the file
if( !saveFeatureExtractionSettingsToFile( file ) ){
errorLog << "saveFeatureExtractionSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << std::endl;
return false;
}
//Write the zero crossing counter settings
file << "SearchWindowSize: " << searchWindowSize << std::endl;
file << "FeatureMode: " << featureMode << std::endl;
file << "DeadZoneThreshold: " << deadZoneThreshold << std::endl;
return true;
}
