class_docstr: generate randomised bias field transformation for data augmentation
class_docstr_tok: ["generate","randomised","bias","field","transformation","for","data","augmentation"]
code: def __init__(self, name="random_bias_field"):
      super(RandomBiasFieldLayer, self).__init__(name=name)
      self._bf_coeffs = None
      self.min_coeff = -10.0
      self.max_coeff = 10.0
      self.order = 3
  
file_path: NiftyNet/niftynet/layer/rand_bias_field.py
imports: from __future__ import absolute_import, print_function
  import numpy
  from niftynet.layer.base_layer import RandomisedLayer
label_desc: Use image node_id 1 to create a new RandomBiasFieldLayer object from inherited base classes: RandomisedLayer with example: obj = RandomBiasFieldLayer(name)