code: def prepare_generators(self):
      training_data_generator = ImageDataGenerator(
          preprocessing_function=preprocess_input
      )
      validation_data_generator = ImageDataGenerator(
          preprocessing_function=preprocess_input
      )
  
      self.training_generator = (
          training_data_generator.flow_from_directory(
              "datasets/current/training",
              target_size=(self.input_shape[0], self.input_shape[1]),
              batch_size=32,
          )
      )
  
      self.validation_generator = (
          validation_data_generator.flow_from_directory(
              "datasets/current/validation",
              target_size=(self.input_shape[0], self.input_shape[1]),
              batch_size=32,
          )
      )
  
file_path: SerpentAI/serpent/machine_learning/context_classification/context_classifiers/cnn_inception_v3_context_classifier.py
imports: from serpent.machine_learning.context_classification.context_classifier import ContextClassifier
  from serpent.utilities import SerpentError
  import skimage.transform
  import numpy
  import serpent.cv
label_desc: Use image node_id 7 for calling the CNNInceptionV3ContextClassifier obj's underlying member method code with example usage: obj.prepare_generators() without return types