code: def __init__(
      self, N=2, M=10, p=0.0, tensor_in_tensor_out=True, augs=[]
  ):
      self.N = N
      self.M = M
      self.p = p
      self.tensor_in_tensor_out = tensor_in_tensor_out
      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 VideoRandomAugment object from inherited base classes: object with example: obj = VideoRandomAugment(N, M, p, tensor_in_tensor_out, augs)