code: def _central_crop(image, crop_height, crop_width):
      shape = tf.shape(input=image)
      height, width = shape[0], shape[1]
  
      amount_to_be_cropped_h = height - crop_height
      crop_top = amount_to_be_cropped_h // 2
      amount_to_be_cropped_w = width - crop_width
      crop_left = amount_to_be_cropped_w // 2
      return tf.slice(
          image, [crop_top, crop_left, 0], [crop_height, crop_width, -1]
      )
  
imports: from zoo.orca import init_orca_context, stop_orca_context
  import os
  import argparse
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: _central_crop(image, crop_height, crop_width) and returns: tf