code: def infer_model(self, data):
      return (
          self.infer_likemodel(
              self.input_handle,
              self.output_handle,
              self.predictor,
              data,
          ),
      )
  
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 3 for calling the ModelLikeInfer obj's underlying member method code with example usage: obj.infer_model(data) and returns: self