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src/x/b/xbob.thesis.elshafey2014-0.0.1a0/xbob/thesis/elshafey2014/scripts/para_jfa.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')
 
      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')
 
      hdf5file = bob.io.HDF5File(self.m_tool.m_projector_toreplace, "w")
      hdf5file.create_group('Projector')
      hdf5file.cd('Projector')
      ubm.save(hdf5file)

src/a/n/antispoofing.lbp-1.3.0/antispoofing/lbp/script/svmtrain_lbp.py   antispoofing.lbp(Download)
  sys.stdout.write("...saving parameters...\n")   
  if args.normalize: 
    fout.create_group('norm')
    fout.cd('norm')
    fout.set_attribute('mins', mins)
    fout.set_attribute('maxs', maxs)
    fout.cd('..')
  if args.pca_reduction:  
    fout.create_group('pca_machine')
    pca_machine.save(fout)
    fout.cd('..')
  fout.create_group('svm_machine')
  fout.cd('svm_machine')
  svm_machine.save(fout)

src/x/b/xbob.thesis.elshafey2014-0.0.1a0/xbob/thesis/elshafey2014/tools/JFA.py   xbob.thesis.elshafey2014(Download)
  def _save_projector_together(self, projector_file):
    """Save the GMM and the JFA model in the same HDF5 file"""
    hdf5file = bob.io.HDF5File(projector_file, "w")
    hdf5file.create_group('Projector')
    hdf5file.cd('Projector')
    self.m_ubm.save(hdf5file)
 
    hdf5file.cd('/')
    hdf5file.create_group('Enroller')
  def _save_feature_together(self, gmmstats, Ux, feature_file):
    hdf5file = bob.io.HDF5File(feature_file, "w")
    hdf5file.create_group('gmmstats')
    hdf5file.cd('gmmstats')
    gmmstats.save(hdf5file)

src/x/b/xbob.thesis.elshafey2014-0.0.1a0/xbob/thesis/elshafey2014/tools/IVector.py   xbob.thesis.elshafey2014(Download)
  def _save_projector_together(self, projector_file):
    """Save the GMM and the ISV model in the same HDF5 file"""
    hdf5file = bob.io.HDF5File(projector_file, "w")
    hdf5file.create_group('Projector')
    hdf5file.cd('Projector')
    self.m_ubm.save(hdf5file)
 
    hdf5file.cd('/')
    hdf5file.create_group('Enroller')
  def _save_feature_together(self, gmmstats, ivector, feature_file):
    hdf5file = bob.io.HDF5File(feature_file, "w")
    hdf5file.create_group('gmmstats')
    hdf5file.cd('gmmstats')
    gmmstats.save(hdf5file)

src/f/a/facereclib-1.2.1/facereclib/tools/IVector.py   facereclib(Download)
  def _save_projector_together(self, projector_file):
    """Save the GMM and the ISV model in the same HDF5 file"""
    hdf5file = bob.io.HDF5File(projector_file, "w")
    hdf5file.create_group('Projector')
    hdf5file.cd('Projector')
    self.m_ubm.save(hdf5file)
 
    hdf5file.cd('/')
    hdf5file.create_group('Enroller')
  def _save_feature_together(self, gmmstats, ivector, feature_file):
    hdf5file = bob.io.HDF5File(feature_file, "w")
    hdf5file.create_group('gmmstats')
    hdf5file.cd('gmmstats')
    gmmstats.save(hdf5file)

src/f/a/facereclib-1.2.1/facereclib/tools/ISV.py   facereclib(Download)
  def _save_projector_together(self, projector_file):
    """Save the GMM and the ISV model in the same HDF5 file"""
    hdf5file = bob.io.HDF5File(projector_file, "w")
    hdf5file.create_group('Projector')
    hdf5file.cd('Projector')
    self.m_ubm.save(hdf5file)
 
    hdf5file.cd('/')
    hdf5file.create_group('Enroller')
  def _save_feature_together(self, gmmstats, Ux, feature_file):
    hdf5file = bob.io.HDF5File(feature_file, "w")
    hdf5file.create_group('gmmstats')
    hdf5file.cd('gmmstats')
    gmmstats.save(hdf5file)

src/f/a/facereclib-1.2.1/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-1.2.1/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-HEAD/facereclib/tools/IVector.py   facereclib(Download)
  def _save_projector_together(self, projector_file):
    """Save the GMM and the ISV model in the same HDF5 file"""
    hdf5file = bob.io.HDF5File(projector_file, "w")
    hdf5file.create_group('Projector')
    hdf5file.cd('Projector')
    self.m_ubm.save(hdf5file)
 
    hdf5file.cd('/')
    hdf5file.create_group('Enroller')
  def _save_feature_together(self, gmmstats, ivector, feature_file):
    hdf5file = bob.io.HDF5File(feature_file, "w")
    hdf5file.create_group('gmmstats')
    hdf5file.cd('gmmstats')
    gmmstats.save(hdf5file)

src/f/a/facereclib-HEAD/facereclib/tools/ISV.py   facereclib(Download)
  def _save_projector_together(self, projector_file):
    """Save the GMM and the ISV model in the same HDF5 file"""
    hdf5file = bob.io.HDF5File(projector_file, "w")
    hdf5file.create_group('Projector')
    hdf5file.cd('Projector')
    self.m_ubm.save(hdf5file)
 
    hdf5file.cd('/')
    hdf5file.create_group('Enroller')
  def _save_feature_together(self, gmmstats, Ux, feature_file):
    hdf5file = bob.io.HDF5File(feature_file, "w")
    hdf5file.create_group('gmmstats')
    hdf5file.cd('gmmstats')
    gmmstats.save(hdf5file)

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