code: def from_dict(cls, tfms_dict: Dict):
      tfms = []
      for tfm_dict in tfms_dict["tfms"]:
          exec(f"from {tfm_dict['module']} import {tfm_dict['name']}")
          tfm = eval(tfm_dict["name"]).from_dict(tfm_dict)
          tfms.append(tfm)
      return cls(tfms)
  
imports: import copy
  from abc import ABC, abstractmethod
  from typing import List, Any, Dict
  import numpy
  from nebullvm.optional_modules.tensorflow import tensorflow
  from nebullvm.optional_modules.torch import torch
label_desc: Use image node_id 7 for calling the MultiStageTransformation obj's underlying member method code with example usage: obj.from_dict(cls, tfms_dict) and returns: cls