code: def __init__(self, crop_size=(320, 480), min_overlap=0.2):
      super().__init__()
      self.crop_height, self.crop_width = crop_size
      self.min_overlap = min_overlap
  
      self.x_offsets = None
      self.y_offsets = None
      self._counts = None
  
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 1 to create a new Crops object from inherited base classes: BaseTransform with example: obj = Crops(crop_size, min_overlap)