code: def _load_transforms(self, t_list):
      com = manager.TRANSFORMS
      transforms = []
      for t in t_list:
          ctype = t.pop("type")
          transforms.append(com[ctype](**t))
  
      return T.Compose(transforms, to_rgb=False)
  
imports: import argparse
  import codecs
  import os
  import sys
  import cv2
  import yaml
  import numpy
  import paddle
  from paddle.inference import create_predictor, PrecisionType
  from paddle.inference import Config
  from paddleseg.cvlibs import manager
  from paddleseg.utils import get_sys_env, logger, get_image_list
  from third_party import tusimple_processor
  import paddleseg.transforms.transforms
label_desc: Use image node_id 5 for calling the DeployConfig obj's underlying member method code with example usage: obj._load_transforms(t_list) and returns: T