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bob.io.HDF5File.read

All Samples(129)  |  Call(129)  |  Derive(0)  |  Import(0)


src/x/b/xbob.paper.example-0.2.0/xbob/paper/example/utils.py   xbob.paper.example(Download)
def load_machine(filename):
  """Loads the machine and the mean vector from an hdf5 file"""
  f = bob.io.HDF5File(filename)
  X_mean = f.read('X_mean')
  machine = bob.machine.MLP(f)


src/x/b/xbob.thesis.elshafey2014-0.0.1a0/xbob/thesis/elshafey2014/scripts/para_jfa.py   xbob.thesis.elshafey2014(Download)
  def _read_stats_1(self, filename):
    """Reads accumulated JFA statistics from file"""
    utils.debug("JFA training: Reading stats file '%s'" % filename)
    f = bob.io.HDF5File(filename)
    acc_v_a1    = f.read('acc_v_a1')
    acc_v_a2    = f.read('acc_v_a2')

  def _read_stats_2(self, filename):
    """Reads accumulated JFA statistics from file"""
    utils.debug("JFA training: Reading stats file '%s'" % filename)
    f = bob.io.HDF5File(filename)
    acc_u_a1    = f.read('acc_u_a1')
    acc_u_a2    = f.read('acc_u_a2')
    n_y         = f.read('n_y')


src/f/a/facereclib-1.2.1/facereclib/utils/video.py   facereclib(Download)
 
        # Read frame
        data = f.read(path)
        # - read corresponding quality vector if provided
        if f.has_group('/quality') and f.has_key('/quality/' + str(frame_id)):
          quality = f.read('/quality/' + str(frame_id))


src/f/a/facereclib-HEAD/facereclib/utils/video.py   facereclib(Download)
 
        # Read frame
        data = f.read(path)
        # - read corresponding quality vector if provided
        if f.has_group('/quality') and f.has_key('/quality/' + str(frame_id)):
          quality = f.read('/quality/' + str(frame_id))


src/x/b/xbob.thesis.elshafey2014-0.0.1a0/xbob/thesis/elshafey2014/scripts/para_ivector.py   xbob.thesis.elshafey2014(Download)
  def _read_stats(self, filename):
    """Reads accumulated IVector statistics from file"""
    utils.debug("IVector training: Reading stats file '%s'" % filename)
    f = bob.io.HDF5File(filename)
    acc_nij_wij2    = f.read('acc_nij_wij2')
    acc_fnormij_wij = f.read('acc_fnormij_wij')
    acc_nij         = f.read('acc_nij')
    acc_snormij     = f.read('acc_snormij')


src/x/b/xbob.thesis.elshafey2014-0.0.1a0/xbob/thesis/elshafey2014/tools/ParaUBMGMM.py   xbob.thesis.elshafey2014(Download)
  def read_stats(self, filename):
    """Reads accumulated K-Means statistics from file"""
    utils.debug("UBM training: Reading stats file '%s'" % filename)
    f = bob.io.HDF5File(filename)
    zeroeth  = f.read('zeros')
    first    = f.read('first')
    nsamples = f.read('nsamples')
    dist     = f.read('dist')


src/f/a/facereclib-1.2.1/facereclib/script/para_ubm_faceverify_ivector.py   facereclib(Download)
  def _read_stats(self, filename):
    """Reads accumulated IVector statistics from file"""
    utils.debug("IVector training: Reading stats file '%s'" % filename)
    f = bob.io.HDF5File(filename)
    acc_nij_wij2    = f.read('acc_nij_wij2')
    acc_fnormij_wij = f.read('acc_fnormij_wij')
    acc_nij         = f.read('acc_nij')
    acc_snormij     = f.read('acc_snormij')


src/f/a/facereclib-1.2.1/facereclib/tools/ParallelUBMGMM.py   facereclib(Download)
  def read_stats(self, filename):
    """Reads accumulated K-Means statistics from file"""
    utils.debug("UBM training: Reading stats file '%s'" % filename)
    f = bob.io.HDF5File(filename)
    zeroeth  = f.read('zeros')
    first    = f.read('first')
    nsamples = f.read('nsamples')
    dist     = f.read('dist')


src/f/a/facereclib-HEAD/facereclib/script/para_ubm_faceverify_ivector.py   facereclib(Download)
  def _read_stats(self, filename):
    """Reads accumulated IVector statistics from file"""
    utils.debug("IVector training: Reading stats file '%s'" % filename)
    f = bob.io.HDF5File(filename)
    acc_nij_wij2    = f.read('acc_nij_wij2')
    acc_fnormij_wij = f.read('acc_fnormij_wij')
    acc_nij         = f.read('acc_nij')
    acc_snormij     = f.read('acc_snormij')


src/f/a/facereclib-HEAD/facereclib/tools/ParallelUBMGMM.py   facereclib(Download)
  def read_stats(self, filename):
    """Reads accumulated K-Means statistics from file"""
    utils.debug("UBM training: Reading stats file '%s'" % filename)
    f = bob.io.HDF5File(filename)
    zeroeth  = f.read('zeros')
    first    = f.read('first')
    nsamples = f.read('nsamples')
    dist     = f.read('dist')


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