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src/x/b/xbob.thesis.elshafey2014-0.0.1a0/xbob/thesis/elshafey2014/scripts/para_isv.py xbob.thesis.elshafey2014(Download)
hdf5file = bob.io.HDF5File(self.m_tool.m_projector_toreplace, "w") hdf5file.create_group('Projector') hdf5file.cd('Projector') ubm.save(hdf5file) hdf5file.cd('/') hdf5file.create_group('Enroller')
src/f/a/facereclib-HEAD/facereclib/tools/PCA.py facereclib(Download)
f = bob.io.HDF5File(projector_file, "w") f.set("Eigenvalues", self.m_variances) f.create_group("Machine") f.cd("/Machine") self.m_machine.save(f)
src/f/a/facereclib-HEAD/facereclib/tools/LDA.py facereclib(Download)
f = bob.io.HDF5File(projector_file, "w") f.set("Eigenvalues", self.m_variances) f.create_group("Machine") f.cd("/Machine") self.m_machine.save(f)
src/f/a/facereclib-1.2.1/facereclib/tools/PLDA.py facereclib(Download)
proj_hdf5file = bob.io.HDF5File(str(projector_file), "w") if self.m_subspace_dimension_pca is not None: proj_hdf5file.create_group('/pca') proj_hdf5file.cd('/pca') self.m_pca_machine.save(proj_hdf5file) proj_hdf5file.create_group('/plda')
src/x/b/xbob.spkrec-1.0.3/xbob/spkrec/tools/IVector.py xbob.spkrec(Download)
proj_hdf5file = bob.io.HDF5File(str(plda_enroler_file), "w") if self.m_config.subspace_dimension_pca is not None: proj_hdf5file.create_group('/pca') proj_hdf5file.cd('/pca') self.m_pca_machine.save(proj_hdf5file) proj_hdf5file.create_group('/plda')
src/x/b/xbob.thesis.elshafey2014-0.0.1a0/xbob/thesis/elshafey2014/tools/MyPLDA.py xbob.thesis.elshafey2014(Download)
proj_hdf5file = bob.io.HDF5File(str(projector_file), "w") if self.m_subspace_dimension_pca is not None: proj_hdf5file.create_group('/pca') proj_hdf5file.cd('/pca') self.m_pca_machine.save(proj_hdf5file) proj_hdf5file.create_group('/plda')
src/x/b/xbob.spkrec-1.0.3/xbob/spkrec/tools/ISV.py xbob.spkrec(Download)
def save_feature(self, data, feature_file): hdf5file = bob.io.HDF5File(feature_file, "w") gmmstats = data[0] Ux = data[1] hdf5file.create_group('gmmstats')
src/f/a/facereclib-HEAD/facereclib/tools/PLDA.py facereclib(Download)
proj_hdf5file = bob.io.HDF5File(str(projector_file), "w") if self.m_subspace_dimension_pca is not None: proj_hdf5file.create_group('/pca') proj_hdf5file.cd('/pca') self.m_pca_machine.save(proj_hdf5file) proj_hdf5file.create_group('/plda')
src/b/o/bob.spear-1.1.2/spear/tools/IVector.py bob.spear(Download)
proj_hdf5file = bob.io.HDF5File(str(plda_enroler_file), "w") if self.m_config.subspace_dimension_pca is not None: proj_hdf5file.create_group('/pca') proj_hdf5file.cd('/pca') self.m_pca_machine.save(proj_hdf5file) proj_hdf5file.create_group('/plda')
src/b/o/bob.spear-1.1.2/spear/tools/ISV.py bob.spear(Download)
def save_feature(self, data, feature_file): hdf5file = bob.io.HDF5File(feature_file, "w") gmmstats = data[0] Ux = data[1] hdf5file.create_group('gmmstats')
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