void bob::ip::gabor::JetStatistics::save(bob::io::base::HDF5File& hdf5, bool saveTransform) const{
hdf5.setArray("MeanAbs", m_meanAbs);
hdf5.setArray("VarAbs", m_varAbs);
hdf5.setArray("MeanPhase", m_meanPhase);
hdf5.setArray("VarPhase", m_varPhase);
if (saveTransform && m_gwt){
hdf5.createGroup("Transform");
hdf5.cd("Transform");
m_gwt->save(hdf5);
hdf5.cd("..");
}
}
void Machine::save (bob::io::base::HDF5File& config) const {
config.setAttribute(".", "version", 1);
config.setArray("input_sub", m_input_sub);
config.setArray("input_div", m_input_div);
config.setArray("weights", m_weight);
config.setArray("biases", m_bias);
config.createGroup("activation");
config.cd("activation");
m_activation->save(config);
config.cd("..");
}
void bob::learn::em::GMMMachine::save(bob::io::base::HDF5File& config) const {
int64_t v = static_cast<int64_t>(m_n_gaussians);
config.set("m_n_gaussians", v);
v = static_cast<int64_t>(m_n_inputs);
config.set("m_n_inputs", v);
for(size_t i=0; i<m_n_gaussians; ++i) {
std::ostringstream oss;
oss << "m_gaussians" << i;
if (!config.hasGroup(oss.str())) config.createGroup(oss.str());
config.cd(oss.str());
m_gaussians[i]->save(config);
config.cd("..");
}
config.setArray("m_weights", m_weights);
}
