code: def base64_to_cv2(b64str: str) -> np.ndarray:
      """
      Convert data from base64 to BGR format.
      """
      data = base64.b64decode(b64str.encode("utf8"))
      data = np.fromstring(data, np.uint8)
      data = cv2.imdecode(data, cv2.IMREAD_COLOR)
      return data
  
file_path: PaddleHub/modules/image/semantic_segmentation/bisenet_lane_segmentation/processor.py
imports: import base64
  import collections.abc
  from itertools import combinations
  from typing import Union, List, Tuple, Callable
  import numpy
  import cv2
  import paddle
  import paddle.nn.functional
label_desc: Use image node_id 4 for calling a global function with example usage: base64_to_cv2(b64str) and returns: data