class_docstr: Gaussian blur augmentation in SimCLR https://arxiv.org/abs/2002.05709
class_docstr_tok: ["Gaussian","blur","augmentation","in","SimCLR","https",":","\/\/arxiv.org\/abs\/2002.05709"]
code: def __init__(self, sigma=[0.1, 2.0]):
      self.sigma = sigma
  
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 GaussianBlur object  with example: obj = GaussianBlur(sigma)