class_docstr: Original code from torchvision: https://github.com/pytorch/vision/tree/main/torchvision/transforms
  
  Args:
      clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W)
  Returns:
      torch.tensor: central cropping of video clip. Size is
      (C, T, crop_size, crop_size)
class_docstr_tok: ["Original","code","from","torchvision",":","https",":","\/\/github.com\/pytorch\/vision\/tree\/main\/torchvision\/transforms","Args",":","clip","(","torch.tensor",")",":","Video","clip","to","be","cropped",".","Size","is","(","C",",","T",",","H",",","W",")","Returns",":","torch.tensor",":","central","cropping","of","video","clip",".","Size","is","(","C",",","T",",","crop_size",",","crop_size",")"]
code: def __init__(self, crop_size):
      if isinstance(crop_size, numbers.Number):
          self.crop_size = (int(crop_size), int(crop_size))
      else:
          self.crop_size = crop_size
  
imports: import os
  import logging
  import numpy
  import numbers
  import torch
  from torch import nn
  from torchvision.transforms import Compose
label_desc: Use image node_id 1 to create a new CenterCropVideo object  with example: obj = CenterCropVideo(crop_size)