scoring.py 文件源码

def _scores_d_normalize(t_model_ids, group):
  """Compute normalized D scores for the given T-model ids"""
  # the file selector object
  fs = FileSelector.instance()

  # initialize D and D_same_value matrices
  d_for_all = None
  d_same_value = None
  for t_model_id in t_model_ids:
    tmp = bob.io.base.load(fs.d_file(t_model_id, group))
    tmp2 = bob.io.base.load(fs.d_same_value_file(t_model_id, group))
    if d_for_all is None and d_same_value is None:
      d_for_all = tmp
      d_same_value = tmp2
    else:
      d_for_all = numpy.vstack((d_for_all, tmp))
      d_same_value = numpy.vstack((d_same_value, tmp2))

  # Saves to files
  bob.io.base.save(d_for_all, fs.d_matrix_file(group))
  bob.io.base.save(d_same_value, fs.d_same_value_matrix_file(group))