code: def __call__(self, img, target):
      image_width, image_height = img.size
      crop_height, crop_width = self.size
      crop_top = int(round((image_height - crop_height) / 2.0))
      crop_left = int(round((image_width - crop_width) / 2.0))
      return crop(
          img, target, (crop_top, crop_left, crop_height, crop_width)
      )
  
imports: import random
  import PIL
  import torch
  import torchvision.transforms
  import torchvision.transforms.functional
  from util.box_ops import box_xyxy_to_cxcywh
  from util.misc import interpolate
label_desc: Use image node_id 2 for calling the CenterCrop obj's underlying member method code with example usage: obj.__call__(img, target) and returns: crop