code: def _load_model(self):
      config_path = f"{self.model_path}/luminoth.predict.yml"
  
      if not os.path.exists(config_path):
          self._generate_predict_luminoth_config()
  
      config = get_config(config_path)
  
      return PredictorNetwork(config)
  
imports: import os
  import yaml
  import json
  import subprocess
  import shlex
  import time
  import tensorflow
  from luminoth.tools.dataset.readers.object_detection import ObjectDetectionReader
  from luminoth.tools.dataset.writers.object_detection_writer import ObjectDetectionWriter
  from luminoth.tools.checkpoint import get_checkpoint_config
  from luminoth.utils.dataset import read_xml, read_image
  from luminoth.utils.config import get_config
  from luminoth.utils.predicting import PredictorNetwork
  from luminoth.train import run
  from luminoth.predict import predict_image
  from serpent.machine_learning.object_recognition.object_recognizer import ObjectRecognizer
  from serpent.utilities import SerpentError
label_desc: Use image node_id 10 for calling the LuminothObjectRecognizer obj's underlying member method code with example usage: obj._load_model() and returns: PredictorNetwork