class_docstr: pytorch 分类 PbaAugment transform
class_docstr_tok: ["pytorch","\u5206\u7c7b","PbaAugment","transform"]
docstr: Args:
      img: PIL image
  Returns:
docstr_tok: ["Args",":","img",":","PIL","image","Returns",":"]
code: def __call__(self, img: np.ndarray):
      """
  
      Args:
          img: PIL image
      Returns:
  
      """
      # tensform resize
      if self.pre_transform:
          img = self.pre_transform(img)
  
      img = self.auto_aug_transform.apply(img)
      img = img.astype(np.uint8)
      img = self.post_transform(img)
      return img
  
imports: import re
  import numpy
  from typing import Dict, List, Optional, Union, Tuple
  import six
  import cv2
  import os
  import paddle
  import paddlehub.vision.transforms
  from PIL import ImageFile
  from auto_augment.autoaug.transform.autoaug_transform import AutoAugTransform
label_desc: Use image node_id 4 for calling the PbaAugment obj's underlying member method code with example usage: obj.__call__(img) and returns: img