class_docstr: Random blur input image by Gaussian filter according to given probability.
  
  Args:
      prob(float): The probability to blur the image, default is 0.1.
class_docstr_tok: ["Random","blur","input","image","by","Gaussian","filter","according","to","given","probability",".","Args",":","prob","(","float",")",":","The","probability","to","blur","the","image",",","default","is","0.1","."]
code: def __init__(self, prob: float = 0.1):
      self.prob = prob
  
imports: import random
  from typing import Callable, Union, List, Tuple
  import cv2
  import PIL
  import numpy
  import paddlehub.vision.functional
label_desc: Use image node_id 1 to create a new RandomBlur object  with example: obj = RandomBlur(prob)