class_docstr: Basic abstract activation generator for a model
class_docstr_tok: ["Basic","abstract","activation","generator","for","a","model"]
code: def __init__(self, model, acts_dir, max_examples=500):
      self.model = model
      self.acts_dir = acts_dir
      self.max_examples = max_examples
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from abc import ABCMeta
  from abc import abstractmethod
  from multiprocessing import dummy
  import os
  import os.path
  import numpy
  import PIL.Image
  import six
  import tensorflow
label_desc: Use image node_id 1 to create a new ActivationGeneratorBase object from inherited base classes: ActivationGeneratorInterface with example: obj = ActivationGeneratorBase(model, acts_dir, max_examples)