code: def __init__(self, N=2, M=10, isPIL=False, augs=[]):
      self.N = N
      self.M = M
      self.isPIL = isPIL
      if augs:
          self.augs = augs
      else:
          self.augs = list(arg_dict.keys())
  
imports: import cv2
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new RandomAugment object from inherited base classes: object with example: obj = RandomAugment(N, M, isPIL, augs)