class_docstr: Extract center crop at the same location for a list of images
  
  Args:
  size (sequence or int): Desired output size for the
  crop in format (h, w)
class_docstr_tok: ["Extract","center","crop","at","the","same","location","for","a","list","of","images","Args",":","size","(","sequence","or","int",")",":","Desired","output","size","for","the","crop","in","format","(","h",",","w",")"]
code: def __init__(self, size):
      if isinstance(size, numbers.Number):
          size = (size, size)
  
      self.size = size
  
imports: import numbers
  import random
  import numpy
  import PIL
  import torch
  import torchvision
  from .None import functional
label_desc: Use image node_id 1 to create a new CenterCrop object from inherited base classes: object with example: obj = CenterCrop(size)