class_docstr: crop an image from four forwards.
  
  Args:
      offset_top (int, optional): The cut height for image from up to down. Default: 0.
      offset_bottom (int, optional): The cut height for image from down to up . Default: 0.
      offset_left (int, optional): The cut height for image from left to right. Default: 0.
      offset_right (int, optional): The cut width for image from right to left. Default: 0.
code: def __init__(
      self, offset_top=0, offset_bottom=0, offset_left=0, offset_right=0
  ):
      self.offset_top = offset_top
      self.offset_bottom = offset_bottom
      self.offset_left = offset_left
      self.offset_right = offset_right
  
file_path: PaddleSeg/contrib/LaneSeg/transforms/lane_transforms.py
imports: import cv2
  import numpy
  from paddleseg.cvlibs import manager
label_desc: Use image node_id 1 to create a new SubImgCrop object  with example: obj = SubImgCrop(offset_top, offset_bottom, offset_left, offset_right)