code: def __init__(self, path):
      with codecs.open(path, "r", "utf-8") as file:
          self.dic = yaml.load(file, Loader=yaml.FullLoader)
  
      self._transforms = self.load_transforms(
          self.dic["Deploy"]["transforms"]
      )
      if self.dic["Deploy"]["inference_helper"] is not None:
          self._inference_helper = self.load_inference_helper(
              self.dic["Deploy"]["inference_helper"]
          )
      else:
          self._inference_helper = None
      self._dir = os.path.dirname(path)
  
imports: import os
  import sys
  import codecs
  import warnings
  import argparse
  import yaml
  import functools
  import numpy
  from paddle.inference import create_predictor, PrecisionType
  from paddle.inference import Config
  import paddle
  import medicalseg.transforms
  from medicalseg.cvlibs import manager
  from medicalseg.utils import get_sys_env, logger, get_image_list
  from medicalseg.utils.visualize import get_pseudo_color_map
  from medicalseg.core.infer import sliding_window_inference
  from tools import HUnorm, resample
  from tools import Prep
label_desc: Use image node_id 1 to create a new DeployConfig object  with example: obj = DeployConfig(path)