class_docstr: Blurring an image by a Gaussian function with a certain probability.
  
  Args:
      prob (float, optional): A probability of blurring an image. Default: 0.1.
class_docstr_tok: ["Blurring","an","image","by","a","Gaussian","function","with","a","certain","probability",".","Args",":","prob","(","float",",","optional",")",":","A","probability","of","blurring","an","image",".","Default",":","0.1","."]
code: def __init__(self, prob=0.1):
      self.prob = prob
  
imports: import os
  import random
  import string
  import cv2
  import numpy
  from paddleseg.transforms import functional
  from paddleseg.cvlibs import manager
  from paddleseg.utils import seg_env
  from PIL import Image
label_desc: Use image node_id 1 to create a new RandomBlur object  with example: obj = RandomBlur(prob)