code: def __init__(
      self, sigma_min=[0.0, 0.1], sigma_max=[0.0, 2.0], use_PIL=False
  ):
      self.sigma_min = sigma_min
      self.sigma_max = sigma_max
  
imports: import logging
  import math
  import numpy
  import random
  import torch
  import torchvision
  import torchvision.transforms.functional
  from PIL import Image, ImageFilter
  from scipy.ndimage import gaussian_filter
  from torchvision import transforms
  from .rand_augment import rand_augment_transform
  from .random_erasing import RandomErasing
label_desc: Use image node_id 1 to create a new GaussianBlurVideo object  with example: obj = GaussianBlurVideo(sigma_min, sigma_max, use_PIL)