class_docstr: Basically same feature processing as official.
  
  Reference: https://github.com/stanfordnmbl/osim-rl/blob/master/osim/env/osim.py
class_docstr_tok: ["Basically","same","feature","processing","as","official",".","Reference",":","https",":","\/\/github.com\/stanfordnmbl\/osim-rl\/blob\/master\/osim\/env\/osim.py"]
code: def __init__(self, env, max_timelimit, skip_num=4):
      ObsTranformerBase.__init__(self, env, max_timelimit, skip_num)
      data = np.load("./official_obs_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 copy
  import numpy
  import gym
  import abc
  import math
  from osim.env import L2M2019Env
  from parl.utils import logger
label_desc: Use image node_id 1 to create a new OfficialObs object from inherited base classes: ObsTranformerBase with example: obj = OfficialObs(env, max_timelimit, skip_num)