code: def get_lbs_for_center_crop(crop_size, data_shape):
      lbs = []
      for i in range(len(data_shape) - 2):
          lbs.append((data_shape[i + 2] - crop_size[i]) // 2)
      return lbs
  
imports: import random
  import numpy
  import paddle
  from paddle.nn.functional import avg_pool2d, avg_pool3d
  from typing import List, Tuple, Union, Callable
  from copy import deepcopy
  from scipy.ndimage import map_coordinates, fourier_gaussian
  from scipy.ndimage.filters import gaussian_filter, gaussian_gradient_magnitude
  from scipy.ndimage.morphology import grey_dilation
  from skimage.transform import resize
  from scipy.ndimage.measurements import label
label_desc: Use image node_id 26 for calling a global function with example usage: get_lbs_for_center_crop(crop_size, data_shape) and returns: lbs