class_docstr: Wrapper class containing paths to images, as well as a number of other
  parameters, that are used by the Pipeline and Operation modules to perform
  augmentation.
  
  Each image that is found by Augmentor during the initialisation of a
  Pipeline object is contained with a new AugmentorImage object.
class_docstr_tok: ["Wrapper","class","containing","paths","to","images",",","as","well","as","a","number","of","other","parameters",",","that","are","used","by","the","Pipeline","and","Operation","modules","to","perform","augmentation",".","Each","image","that","is","found","by","Augmentor","during","the","initialisation","of","a","Pipeline","object","is","contained","with","a","new","AugmentorImage","object","."]
code: def label(self, value):
      self._label = value
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  from builtins import *
  import os
  import glob
  import numbers
  import random
  import warnings
  import numpy
label_desc: Use image node_id 18 for calling the AugmentorImage obj's underlying member method code with example usage: obj.label(value) without return types