class_docstr: Abstract generator class.
      
docstr: Randomly transforms image and annotation.
          
code: def random_visual_effect_group_entry(self, image, annotations):
      """Randomly transforms image and annotation."""
      visual_effect = next(self.visual_effect_generator)
      # apply visual effect
      image = visual_effect(image)
      return image, annotations
  
imports: import numpy
  import random
  import warnings
  from tensorflow import keras
  from ..utils.anchors import anchor_targets_bbox, anchors_for_shape, guess_shapes
  from ..utils.config import parse_anchor_parameters, parse_pyramid_levels
  from ..utils.image import TransformParameters, adjust_transform_for_image, apply_transform, preprocess_image, resize_image
  from ..utils.transform import transform_aabb
label_desc: Use image node_id 16 for calling the Generator obj's underlying member method code with example usage: obj.random_visual_effect_group_entry(image, annotations) and returns: image,  annotations