bool FFT::loadSettingsFromFile(fstream &file){
if( !file.is_open() ){
errorLog << "loadSettingsFromFile(fstream &file) - The file is not open!" << endl;
return false;
}
string word;
//Load the header
file >> word;
if( word != "GRT_FFT_FILE_V1.0" ){
errorLog << "loadSettingsFromFile(fstream &file) - Invalid file format!" << endl;
return false;
}
if( !loadBaseSettingsFromFile( file ) ){
errorLog << "loadBaseSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << endl;
return false;
}
file >> word;
if( word != "HopSize:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read HopSize header!" << endl;
return false;
}
file >> hopSize;
file >> word;
if( word != "FftWindowSize:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read FftWindowSize header!" << endl;
return false;
}
file >> fftWindowSize;
file >> word;
if( word != "FftWindowFunction:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read FftWindowFunction header!" << endl;
return false;
}
file >> fftWindowFunction;
file >> word;
if( word != "ComputeMagnitude:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read ComputeMagnitude header!" << endl;
return false;
}
file >> computeMagnitude;
file >> word;
if( word != "ComputePhase:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read ComputePhase header!" << endl;
return false;
}
file >> computePhase;
//Init the FFT module to ensure everything is initialized correctly
return init(fftWindowSize,hopSize,numInputDimensions,fftWindowFunction,computeMagnitude,computePhase);
}
bool RBMQuantizer::loadModelFromFile(fstream &file){
//Clear any previous model
clear();
if( !file.is_open() ){
errorLog << "loadModelFromFile(fstream &file) - The file is not open!" << endl;
return false;
}
string word;
//First, you should read and validate the header
file >> word;
if( word != "RBM_QUANTIZER_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( !loadBaseSettingsFromFile( file ) ){
errorLog << "loadModelFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << endl;
return false;
}
file >> word;
if( word != "QuantizerTrained:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to load QuantizerTrained!" << endl;
return false;
}
file >> trained;
file >> word;
if( word != "NumClusters:" ){
errorLog << "loadModelFromFile(fstream &file) - Failed to load NumClusters!" << endl;
return false;
}
file >> numClusters;
if( trained ){
if( !rbm.loadModelFromFile( file ) ){
errorLog << "loadModelFromFile(fstream &file) - Failed to load SelfOrganizingMap settings from file!" << endl;
return false;
}
initialized = true;
featureDataReady = false;
quantizationDistances.resize(numClusters,0);
}
return true;
}
bool KMeansQuantizer::loadSettingsFromFile(fstream &file){
initialized = false;
numClusters = 0;
clusters.clear();
quantizationDistances.clear();
if( !file.is_open() ){
errorLog << "loadSettingsFromFile(fstream &file) - The file is not open!" << endl;
return false;
}
string word;
//First, you should read and validate the header
file >> word;
if( word != "KMEANS_QUANTIZER_FILE_V1.0" ){
errorLog << "loadSettingsFromFile(fstream &file) - Invalid file format!" << endl;
return false;
}
//Second, you should load the base feature extraction settings to the file
if( !loadBaseSettingsFromFile( file ) ){
errorLog << "loadBaseSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << endl;
return false;
}
file >> word;
if( word != "QuantizerTrained:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to load QuantizerTrained!" << endl;
return false;
}
file >> quantizerTrained;
file >> word;
if( word != "NumClusters:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to load NumClusters!" << endl;
return false;
}
file >> numClusters;
if( quantizerTrained ){
clusters.resize(numClusters, numInputDimensions);
file >> word;
if( word != "Clusters:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to load Clusters!" << 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 BernoulliRBM::loadLegacyModelFromFile( std::fstream &file ){
std::string word;
UINT numGibbsSteps = 0;
if( !loadBaseSettingsFromFile( file ) ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to load base settings to file!" << std::endl;
return false;
}
//Read the number of visible units
file >> word;
if( word != "NumVisibleUnits:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read NumVisibleUnits header!" << std::endl;
return false;
}
file >> numVisibleUnits;
//Read the number of hidden units
file >> word;
if( word != "NumHiddenUnits:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read NumHiddenUnits header!" << std::endl;
return false;
}
file >> numHiddenUnits;
//Read the number of training epochs
file >> word;
if( word != "NumTrainingEpochs:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read NumTrainingEpochs header!" << std::endl;
return false;
}
file >> maxNumEpochs;
//Read the number of gibbs steps
file >> word;
if( word != "NumGibbsSteps:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read NumGibbsSteps header!" << std::endl;
return false;
}
file >> numGibbsSteps;
//Read the learning rate
file >> word;
if( word != "LearningRate:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read LearningRate header!" << std::endl;
return false;
}
file >> learningRate;
//Read the learning rate update
file >> word;
if( word != "LearningRateUpdate:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read LearningRateUpdate header!" << std::endl;
return false;
}
file >> learningRateUpdate;
//Read the momentum
file >> word;
if( word != "Momentum:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read Momentum header!" << std::endl;
return false;
}
file >> momentum;
//Read the randomizeWeightsForTraining
file >> word;
if( word != "RandomizeWeightsForTraining:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read RandomizeWeightsForTraining header!" << std::endl;
return false;
}
file >> randomizeWeightsForTraining;
//Read the ranges
file >> word;
if( word != "Ranges:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read Ranges header!" << std::endl;
return false;
}
ranges.resize(numInputDimensions);
for(UINT n=0; n<ranges.size(); n++){
file >> ranges[n].minValue;
file >> ranges[n].maxValue;
}
//If the model has been trained then load the model
if( trained ){
//Load the weights matrix
file >> word;
if( word != "WeightsMatrix:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read WeightsMatrix header!" << std::endl;
return false;
}
weightsMatrix.resize(numHiddenUnits, numVisibleUnits);
for(UINT i=0; i<weightsMatrix.getNumRows(); i++){
for(UINT j=0; j<weightsMatrix.getNumCols(); j++){
file >> weightsMatrix[i][j];
}
}
//Load the VisibleLayerBias
file >> word;
if( word != "VisibleLayerBias:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read VisibleLayerBias header!" << std::endl;
return false;
}
visibleLayerBias.resize(numVisibleUnits);
for(unsigned int i=0; i<visibleLayerBias.getSize(); i++){
file >> visibleLayerBias[i];
}
//Load the HiddenLayerBias
file >> word;
if( word != "HiddenLayerBias:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read HiddenLayerBias header!" << std::endl;
return false;
}
hiddenLayerBias.resize(numHiddenUnits);
for(unsigned int i=0; i<hiddenLayerBias.getSize(); i++){
file >> hiddenLayerBias[i];
}
}
return true;
}
bool BernoulliRBM::loadModelFromFile( std::fstream &file ){
if(!file.is_open())
{
errorLog <<"loadModelFromFile(fstream &file) - The file is not open!" << std::endl;
return false;
}
std::string word;
//Read the header info
file >> word;
if( word == "GRT_BERNOULLI_RBM_MODEL_FILE_V1.0" ){
return loadLegacyModelFromFile( file );
}
if( word != "GRT_BERNOULLI_RBM_MODEL_FILE_V1.1" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read file header!" << std::endl;
return false;
}
if( !loadBaseSettingsFromFile( file ) ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to load base settings to file!" << std::endl;
return false;
}
//Read the number of visible units
file >> word;
if( word != "NumVisibleUnits:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read NumVisibleUnits header!" << std::endl;
return false;
}
file >> numVisibleUnits;
//Read the number of hidden units
file >> word;
if( word != "NumHiddenUnits:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read NumHiddenUnits header!" << std::endl;
return false;
}
file >> numHiddenUnits;
//Read the batch size
file >> word;
if( word != "BatchSize:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read BatchSize header!" << std::endl;
return false;
}
file >> batchSize;
//Read the batch step size
file >> word;
if( word != "BatchStepSize:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read BatchStepSize header!" << std::endl;
return false;
}
file >> batchStepSize;
//Read the learning rate
file >> word;
if( word != "LearningRate:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read LearningRate header!" << std::endl;
return false;
}
file >> learningRate;
//Read the learning rate update
file >> word;
if( word != "LearningRateUpdate:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read LearningRateUpdate header!" << std::endl;
return false;
}
file >> learningRateUpdate;
//Read the momentum
file >> word;
if( word != "Momentum:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read Momentum header!" << std::endl;
return false;
}
file >> momentum;
//Read the randomizeWeightsForTraining
file >> word;
if( word != "RandomizeWeightsForTraining:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read RandomizeWeightsForTraining header!" << std::endl;
return false;
}
file >> randomizeWeightsForTraining;
//Read the ranges
file >> word;
if( word != "Ranges:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read Ranges header!" << std::endl;
return false;
}
ranges.resize(numInputDimensions);
for(UINT n=0; n<ranges.size(); n++){
file >> ranges[n].minValue;
file >> ranges[n].maxValue;
}
//If the model has been trained then load the model
if( trained ){
//Load the weights matrix
file >> word;
if( word != "WeightsMatrix:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read WeightsMatrix header!" << std::endl;
return false;
}
weightsMatrix.resize(numHiddenUnits, numVisibleUnits);
for(UINT i=0; i<weightsMatrix.getNumRows(); i++){
for(UINT j=0; j<weightsMatrix.getNumCols(); j++){
file >> weightsMatrix[i][j];
}
}
//Load the VisibleLayerBias
file >> word;
if( word != "VisibleLayerBias:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read VisibleLayerBias header!" << std::endl;
return false;
}
visibleLayerBias.resize(numVisibleUnits);
for(unsigned int i=0; i<visibleLayerBias.size(); i++){
file >> visibleLayerBias[i];
}
//Load the HiddenLayerBias
file >> word;
if( word != "HiddenLayerBias:" ){
errorLog <<"loadModelFromFile(fstream &file) - Failed to read HiddenLayerBias header!" << std::endl;
return false;
}
hiddenLayerBias.resize(numHiddenUnits);
for(unsigned int i=0; i<hiddenLayerBias.size(); i++){
file >> hiddenLayerBias[i];
}
}
return true;
}
bool KMeansFeatures::loadSettingsFromFile(fstream &file){
clear();
if( !file.is_open() ){
errorLog << "loadSettingsFromFile(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 << "loadSettingsFromFile(fstream &file) - Invalid file format!" << endl;
return false;
}
//Second, you should load the base feature extraction settings to the file
if( !loadBaseSettingsFromFile( file ) ){
errorLog << "loadSettingsFromFile(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 << "loadSettingsFromFile(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 << "loadSettingsFromFile(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 << "loadSettingsFromFile(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 << "loadSettingsFromFile(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 << "loadSettingsFromFile(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 << "loadSettingsFromFile(fstream &file) - Failed to read NumRows header!" << endl;
return false;
}
file >> numRows;
//Load the NumCols
file >> word;
if( word != "NumCols:" ){
errorLog << "loadSettingsFromFile(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 MovementTrajectoryFeatures::loadSettingsFromFile(fstream &file){
if( !file.is_open() ){
errorLog << "loadSettingsFromFile(fstream &file) - The file is not open!" << endl;
return false;
}
string word;
//Load the header
file >> word;
if( word != "GRT_MOVEMENT_TRAJECTORY_FEATURES_FILE_V1.0" ){
errorLog << "loadSettingsFromFile(fstream &file) - Invalid file format!" << endl;
return false;
}
if( !loadBaseSettingsFromFile( file ) ){
errorLog << "loadBaseSettingsFromFile(fstream &file) - Failed to load base feature extraction settings from file!" << endl;
return false;
}
//Load the TrajectoryLength
file >> word;
if( word != "TrajectoryLength:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read TrajectoryLength header!" << endl;
return false;
}
file >> trajectoryLength;
//Load the NumCentroids
file >> word;
if( word != "NumCentroids:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read NumCentroids header!" << endl;
return false;
}
file >> numCentroids;
//Load the FeatureMode
file >> word;
if( word != "FeatureMode:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read FeatureMode header!" << endl;
return false;
}
file >> featureMode;
//Load the NumHistogramBins
file >> word;
if( word != "NumHistogramBins:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read NumHistogramBins header!" << endl;
return false;
}
file >> numHistogramBins;
//Load the UseTrajStartAndEndValues
file >> word;
if( word != "UseTrajStartAndEndValues:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read UseTrajStartAndEndValues header!" << endl;
return false;
}
file >> useTrajStartAndEndValues;
//Load the UseWeightedMagnitudeValues
file >> word;
if( word != "UseWeightedMagnitudeValues:" ){
errorLog << "loadSettingsFromFile(fstream &file) - Failed to read UseWeightedMagnitudeValues header!" << endl;
return false;
}
file >> useWeightedMagnitudeValues;
//Init the ZeroCrossingCounter module to ensure everything is initialized correctly
return init(trajectoryLength,numCentroids,featureMode,numHistogramBins,numInputDimensions,useTrajStartAndEndValues,useWeightedMagnitudeValues);
}
