code: def _generate_train_luminoth_config(self, **kwargs):
      config = {
          "train": {
              "run_name": self.name,
              "job_dir": "datasets/object_recognition",
          },
          "dataset": {"type": "object_detection", "dir": "datasets"},
          "model": {
              "type": self.algorithm,
              "network": {"num_classes": len(self.classes)},
          },
      }
  
      if not os.path.exists("datasets/object_recognition"):
          os.mkdir("datasets/object_recognition")
  
      with open("datasets/luminoth.yml", "w") as f:
          f.write(yaml.dump(config))
  
      return get_config("datasets/luminoth.yml")
  
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 7 for calling the LuminothObjectRecognizer obj's underlying member method code with example usage: obj._generate_train_luminoth_config() and returns: get_config