code: def inv_transform(self, prob_map):
      if self._counts is None:
          return prob_map
  
      new_prob_map = paddle.zeros(
          (1, 1, *self._counts.shape), dtype=prob_map.dtype
      )
  
      crop_indx = 0
      for dy in self.y_offsets:
          for dx in self.x_offsets:
              new_prob_map[
                  0,
                  0,
                  dy : dy + self.crop_height,
                  dx : dx + self.crop_width,
              ] += prob_map[crop_indx, 0]
              crop_indx += 1
      new_prob_map = paddle.divide(new_prob_map, self._counts)
  
      return new_prob_map
  
file_path: PaddleSeg/EISeg/eiseg/inference/transforms/crops.py
imports: import math
  import paddle
  import numpy
  from inference.clicker import Click
  from .base import BaseTransform
label_desc: Use image node_id 3 for calling the Crops obj's underlying member method code with example usage: obj.inv_transform(prob_map) and returns: new_prob_map, prob_map