bob::ip::gabor::JetStatistics::JetStatistics(bob::io::base::HDF5File& hdf5){
m_meanAbs.reference(hdf5.readArray<double,1>("MeanAbs"));
m_varAbs.reference(hdf5.readArray<double,1>("VarAbs"));
m_meanPhase.reference(hdf5.readArray<double,1>("MeanPhase"));
m_varPhase.reference(hdf5.readArray<double,1>("VarPhase"));
if (hdf5.hasGroup("Transform")){
hdf5.cd("Transform");
m_gwt.reset(new bob::ip::gabor::Transform(hdf5));
hdf5.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);
}