class_docstr: Apply Gaussian Blur to the PIL image.
class_docstr_tok: ["Apply","Gaussian","Blur","to","the","PIL","image","."]
code: def __init__(self, p=0.5, radius_min=0.1, radius_max=2.0):
      self.prob = p
      self.radius_min = radius_min
      self.radius_max = radius_max
  
imports: import random
  import numpy
  import torch
  from PIL import Image, ImageFilter, ImageOps
  from torch.utils.data import Dataset
  from nemo.collections.multimodal.data.common.data_samplers import SharedEpoch
  from nemo.collections.vision.data.megatron.autoaugment import ImageNetPolicy
  from nemo.collections.vision.data.megatron.image_folder import ImageFolder
label_desc: Use image node_id 1 to create a new GaussianBlur object from inherited base classes: object with example: obj = GaussianBlur(p, radius_min, radius_max)