code: def __init__(self, env):
      ObsTranformerBase.__init__(self, env)
      data = np.load("./pelvisBasedObs_scaler.npz")
      self.mean, self.std, self.duplicate_id = (
          data["mean"],
          data["std"],
          data["duplicate_id"],
      )
      self.duplicate_id = self.duplicate_id.astype(np.int32).tolist()
  
imports: import abc
  import copy
  import gym
  import math
  import numpy
  from collections import OrderedDict
  from osim.env import ProstheticsEnv
  from parl.utils import logger
label_desc: Use image node_id 1 to create a new PelvisBasedObs object from inherited base classes: ObsTranformerBase with example: obj = PelvisBasedObs(env)