class_docstr: Crop and/or pad image with random placement within the crop or pad margin.
      
class_docstr_tok: ["Crop","and\/or","pad","image","with","random","placement","within","the","crop","or","pad","margin","."]
code: def __repr__(self) -> str:
      return f"{self.__class__.__name__}(size={self.size})"
  
imports: import math
  import numbers
  import random
  import warnings
  from typing import List, Sequence, Tuple, Union
  import torch
  import torchvision.transforms.functional
  from PIL import Image
  import numpy
label_desc: Use image node_id 4 for calling the RandomCropOrPad obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str