class_docstr: Base class for all image preprocess ops.
class_docstr_tok: ["Base","class","for","all","image","preprocess","ops","."]
docstr: Returns transformed boxes.
docstr_tok: ["Returns","transformed","boxes","."]
code: def apply_boxes(
      self, boxes: tf.Tensor, image_size: transforms.SizeTuple
  ) -> tf.Tensor:
      """Returns transformed boxes."""
      raise NotImplementedError(
          f"{self.__class__.__name__} is not implemented for bounding boxes."
      )
  
imports: import abc
  import dataclasses
  from typing import Optional, Sequence, Tuple, Union
  from clu import preprocess_spec
  from scenic.projects.owl_vit.preprocessing import modalities
  from scenic.projects.owl_vit.preprocessing import transforms
  import tensorflow
label_desc: Use image node_id 3 for calling the ImagePreprocessOp obj's underlying member method code with example usage: obj.apply_boxes(boxes, image_size) without return types