bool TimeseriesBuffer::load( std::fstream &file ){
if( !file.is_open() ){
errorLog << "load(fstream &file) - The file is not open!" << std::endl;
return false;
}
std::string word;
//Load the header
file >> word;
if( word != "GRT_TIMESERIES_BUFFER_FILE_V1.0" ){
errorLog << "load(fstream &file) - Invalid file format!" << std::endl;
return false;
}
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << std::endl;
return false;
}
file >> word;
if( word != "BufferSize:" ){
errorLog << "load(fstream &file) - Failed to read BufferSize header!" << std::endl;
return false;
}
file >> bufferSize;
//Init the TimeseriesBuffer module to ensure everything is initialized correctly
return init(bufferSize,numInputDimensions);
}
bool MovementIndex::loadModelFromFile(fstream &file) {
if( !file.is_open() ) {
errorLog << "loadModelFromFile(fstream &file) - The file is not open!" << endl;
return false;
}
string word;
//Load the header
file >> word;
if( word != "GRT_MOVEMENT_INDEX_FILE_V1.0" ) {
errorLog << "loadModelFromFile(fstream &file) - Invalid file format!" << endl;
return false;
}
if( !loadFeatureExtractionSettingsFromFile( file ) ) {
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << endl;
return false;
}
//Load the BufferLength
file >> word;
if( word != "BufferLength:" ) {
errorLog << "loadModelFromFile(fstream &file) - Failed to read BufferLength header!" << endl;
return false;
}
file >> bufferLength;
//Init the MovementIndex module to ensure everything is initialized correctly
return init(bufferLength,numInputDimensions);
}
bool FFT::loadModelFromFile( std::fstream &file ){
if( !file.is_open() ){
errorLog << "loadModelFromFile(fstream &file) - The file is not open!" << std::endl;
return false;
}
std::string word;
//Load the header
file >> word;
if( word != "GRT_FFT_FILE_V1.0" ){
errorLog << "loadModelFromFile(fstream &file) - Invalid file format!" << std::endl;
return false;
}
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << std::endl;
return false;
}
file >> word;
if( word != "HopSize:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read HopSize header!" << std::endl;
return false;
}
file >> hopSize;
file >> word;
if( word != "FftWindowSize:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read FftWindowSize header!" << std::endl;
return false;
}
file >> fftWindowSize;
file >> word;
if( word != "FftWindowFunction:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read FftWindowFunction header!" << std::endl;
return false;
}
file >> fftWindowFunction;
file >> word;
if( word != "ComputeMagnitude:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read ComputeMagnitude header!" << std::endl;
return false;
}
file >> computeMagnitude;
file >> word;
if( word != "ComputePhase:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read ComputePhase header!" << std::endl;
return false;
}
file >> computePhase;
//Init the FFT module to ensure everything is initialized correctly
return init(fftWindowSize,hopSize,numInputDimensions,fftWindowFunction,computeMagnitude,computePhase);
}
bool KMeansQuantizer::loadModelFromFile( std::istream &file ){
//Clear any previouly built model and settings
clear();
std::string word;
//First, you should read and validate the header
file >> word;
if( word != "KMEANS_QUANTIZER_FILE_V1.0" ){
errorLog << "loadModelFromFile(istream &file) - Invalid file format!" << std::endl;
return false;
}
//Second, you should load the base feature extraction settings to the file
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(istream &file) - Failed to load base feature extraction settings from file!" << std::endl;
return false;
}
file >> word;
if( word != "QuantizerTrained:" ){
errorLog << "loadModelFromFile(istream &file) - Failed to load QuantizerTrained!" << std::endl;
return false;
}
file >> trained;
file >> word;
if( word != "NumClusters:" ){
errorLog << "loadModelFromFile(istream &file) - Failed to load NumClusters!" << std::endl;
return false;
}
file >> numClusters;
if( trained ){
clusters.resize(numClusters, numInputDimensions);
file >> word;
if( word != "Clusters:" ){
errorLog << "loadModelFromFile(istream &file) - Failed to load Clusters!" << std::endl;
return false;
}
for(UINT k=0; k<numClusters; k++){
for(UINT j=0; j<numInputDimensions; j++){
file >> clusters[k][j];
}
}
initialized = true;
featureDataReady = false;
quantizationDistances.resize(numClusters,0);
}
return true;
}
bool RBMQuantizer::load( std::fstream &file ){
//Clear any previous model
clear();
if( !file.is_open() ){
errorLog << "load(fstream &file) - The file is not open!" << std::endl;
return false;
}
std::string word;
//First, you should read and validate the header
file >> word;
if( word != "RBM_QUANTIZER_FILE_V1.0" ){
errorLog << "load(fstream &file) - Invalid file format!" << std::endl;
return false;
}
//Second, you should load the base feature extraction settings to the file
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << std::endl;
return false;
}
file >> word;
if( word != "QuantizerTrained:" ){
errorLog << "load(fstream &file) - Failed to load QuantizerTrained!" << std::endl;
return false;
}
file >> trained;
file >> word;
if( word != "NumClusters:" ){
errorLog << "load(fstream &file) - Failed to load NumClusters!" << std::endl;
return false;
}
file >> numClusters;
if( trained ){
if( !rbm.load( file ) ){
errorLog << "load(fstream &file) - Failed to load SelfOrganizingMap settings from file!" << std::endl;
return false;
}
initialized = true;
featureDataReady = false;
quantizationDistances.resize(numClusters,0);
}
return true;
}
bool ThresholdDetection::loadModelFromFile(fstream &file){
if( !file.is_open() ){
errorLog << "loadModelFromFile(fstream &file) - The file is not open!" << endl;
return false;
}
string word;
//Load the header
file >> word;
if( word != "GRT_THRESHOLD_DETECTION_FILE_V1.0" ){
errorLog << "loadModelFromFile(fstream &file) - Invalid file format!" << endl;
return false;
}
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << endl;
return false;
}
//Load the BufferLength
file >> word;
if( word != "BufferLength:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read BufferLength header!" << endl;
return false;
}
file >> bufferLength;
//Load the NumFrames
file >> word;
if( word != "Alpha:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read Alpha header!" << endl;
return false;
}
file >> alpha;
//Load the OffsetInput
file >> word;
if( word != "Beta:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read Beta header!" << endl;
return false;
}
file >> beta;
//Init the ThresholdDetection module to ensure everything is initialized correctly
return init(bufferLength,numInputDimensions,alpha,beta);
}
bool ZeroCrossingCounter::loadModelFromFile( std::fstream &file ){
if( !file.is_open() ){
errorLog << "loadModelFromFile(fstream &file) - The file is not open!" << std::endl;
return false;
}
std::string word;
//Load the header
file >> word;
if( word != "GRT_ZERO_CROSSING_COUNTER_FILE_V1.0" ){
errorLog << "loadModelFromFile(fstream &file) - Invalid file format!" << std::endl;
return false;
}
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << std::endl;
return false;
}
file >> word;
if( word != "SearchWindowSize:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read SearchWindowSize header!" << std::endl;
return false;
}
file >> searchWindowSize;
file >> word;
if( word != "FeatureMode:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read FeatureMode header!" << std::endl;
return false;
}
file >> featureMode;
file >> word;
if( word != "DeadZoneThreshold:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read DeadZoneThreshold header!" << std::endl;
return false;
}
file >> deadZoneThreshold;
//Init the ZeroCrossingCounter module to ensure everything is initialized correctly
return init(searchWindowSize,deadZoneThreshold,numInputDimensions,featureMode);
}
bool TimeDomainFeatures::loadModelFromFile(fstream &file){
if( !file.is_open() ){
errorLog << "loadModelFromFile(fstream &file) - The file is not open!" << endl;
return false;
}
string word;
//Load the header
file >> word;
if( word != "GRT_TIME_DOMAIN_FEATURES_FILE_V1.0" ){
errorLog << "loadModelFromFile(fstream &file) - Invalid file format!" << endl;
return false;
}
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << endl;
return false;
}
//Load the BufferLength
file >> word;
if( word != "BufferLength:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read BufferLength header!" << endl;
return false;
}
file >> bufferLength;
//Load the NumFrames
file >> word;
if( word != "NumFrames:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read NumFrames header!" << endl;
return false;
}
file >> numFrames;
//Load the OffsetInput
file >> word;
if( word != "OffsetInput:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read OffsetInput header!" << endl;
return false;
}
file >> offsetInput;
//Load the UseMean
file >> word;
if( word != "UseMean:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read UseMean header!" << endl;
return false;
}
file >> useMean;
//Load the UseStdDev
file >> word;
if( word != "UseStdDev:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read UseStdDev header!" << endl;
return false;
}
file >> useStdDev;
//Load the UseEuclideanNorm
file >> word;
if( word != "UseEuclideanNorm:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read UseEuclideanNorm header!" << endl;
return false;
}
file >> useEuclideanNorm;
//Load the UseRMS
file >> word;
if( word != "UseRMS:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read UseRMS header!" << endl;
return false;
}
file >> useRMS;
//Init the TimeDomainFeatures module to ensure everything is initialized correctly
return init(bufferLength,numFrames,numInputDimensions,offsetInput,useMean,useStdDev,useEuclideanNorm,useRMS);
}
bool KMeansFeatures::loadModelFromFile(fstream &file){
clear();
if( !file.is_open() ){
errorLog << "loadModelFromFile(fstream &file) - The file is not open!" << endl;
return false;
}
string word;
UINT numLayers = 0;
UINT numRows = 0;
UINT numCols = 0;
//First, you should read and validate the header
file >> word;
if( word != "KMEANS_FEATURES_FILE_V1.0" ){
errorLog << "loadModelFromFile(fstream &file) - Invalid file format!" << endl;
return false;
}
//Second, you should load the base feature extraction settings to the file
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << endl;
return false;
}
//Load the number of layers
file >> word;
if( word != "NumLayers:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read NumLayers header!" << endl;
return false;
}
file >> numLayers;
numClustersPerLayer.resize( numLayers );
//Load the number clusters per layer
file >> word;
if( word != "NumClustersPerLayer:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read NumClustersPerLayer header!" << endl;
return false;
}
for(UINT i=0; i<numClustersPerLayer.size(); i++){
file >> numClustersPerLayer[i];
}
//Load the alpha parameter
file >> word;
if( word != "Alpha:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read Alpha header!" << endl;
return false;
}
file >> alpha;
//If the model has been trained then load it
if( trained ){
//Load the Ranges
file >> word;
if( word != "Ranges:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read Ranges header!" << endl;
return false;
}
ranges.resize(numInputDimensions);
for(UINT i=0; i<ranges.size(); i++){
file >> ranges[i].minValue;
file >> ranges[i].maxValue;
}
//Load the Clusters
file >> word;
if( word != "Clusters:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read Clusters header!" << endl;
return false;
}
clusters.resize( numLayers );
for(UINT k=0; k<clusters.size(); k++){
//Load the NumRows
file >> word;
if( word != "NumRows:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read NumRows header!" << endl;
return false;
}
file >> numRows;
//Load the NumCols
file >> word;
if( word != "NumCols:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read NumCols header!" << endl;
return false;
}
file >> numCols;
clusters[k].resize(numRows, numCols);
for(UINT i=0; i<clusters[k].getNumRows(); i++){
for(UINT j=0; j<clusters[k].getNumCols(); j++){
file >> clusters[k][i][j];
}
}
}
}
return true;
}
bool FFTFeatures::loadModelFromFile( std::fstream &file ){
if( !file.is_open() ){
errorLog << "loadModelFromFile(fstream &file) - The file is not open!" << std::endl;
return false;
}
std::string word;
//Load the header
file >> word;
if( word != "GRT_FFT_FEATURES_FILE_V1.0" ){
errorLog << "loadModelFromFile(fstream &file) - Invalid file format!" << std::endl;
return false;
}
if( !loadFeatureExtractionSettingsFromFile( file ) ){
errorLog << "loadFeatureExtractionSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << std::endl;
return false;
}
//Load the FFTWindowSize
file >> word;
if( word != "FFTWindowSize:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read FFTWindowSize header!" << std::endl;
return false;
}
file >> fftWindowSize;
//Load the NumOutputDimensions
file >> word;
if( word != "NumChannelsInFFTSignal:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read NumChannelsInFFTSignal header!" << std::endl;
return false;
}
file >> numChannelsInFFTSignal;
file >> word;
if( word != "ComputeMaxFreqFeature:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read ComputeMaxFreqFeature header!" << std::endl;
return false;
}
file >> computeMaxFreqFeature;
file >> word;
if( word != "ComputeMaxFreqSpectrumRatio:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read ComputeMaxFreqSpectrumRatio header!" << std::endl;
return false;
}
file >> computeMaxFreqSpectrumRatio;
file >> word;
if( word != "ComputeCentroidFeature:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read ComputeCentroidFeature header!" << std::endl;
return false;
}
file >> computeCentroidFeature;
file >> word;
if( word != "ComputeTopNFreqFeatures:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read ComputeTopNFreqFeatures header!" << std::endl;
return false;
}
file >> computeTopNFreqFeatures;
file >> word;
if( word != "N:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to read N header!" << std::endl;
return false;
}
file >> N;
//Init the FFTFeatures module to ensure everything is initialized correctly
return init(fftWindowSize,numChannelsInFFTSignal,computeMaxFreqFeature,computeMaxFreqSpectrumRatio,computeCentroidFeature,computeTopNFreqFeatures,N);
}
