class_docstr: This is the object detection class for using your custom trained models. It supports your custom trained YOLOv3 model and allows to you to perform object detection in images.
docstr: 'loadModel' is used to load the model into the CustomObjectDetection class
  :return: None
docstr_tok: ["'loadModel","'","is","used","to","load","the","model","into","the","CustomObjectDetection","class",":","return",":","None"]
code: def loadModel(self):
      """
      'loadModel' is used to load the model into the CustomObjectDetection class
      :return: None
      """
  
      if self.__model_type == "yolov3":
          detection_model_json = json.load(
              open(self.__detection_config_json_path)
          )
  
          self.__model_labels = detection_model_json["labels"]
          self.__model_anchors = detection_model_json["anchors"]
  
          self.__detection_utils = CustomDetectionUtils(
              labels=self.__model_labels
          )
  
          self.__model = yolov3_main(
              Input(shape=(None, None, 3)), 3, len(self.__model_labels)
          )
  
          self.__model.load_weights(self.__model_path)
  
imports: import os
  import re
  import numpy
  import json
  from imageai.Detection.Custom.voc import parse_voc_annotation
  from imageai.Detection.YOLO.yolov3 import yolov3_main, yolov3_train, dummy_loss
  from imageai.Detection.Custom.generator import BatchGenerator
  from imageai.Detection.Custom.utils.utils import normalize, evaluate, makedirs
  from tensorflow.keras.callbacks import ReduceLROnPlateau
  from tensorflow.keras.optimizers import Adam
  from imageai.Detection.Custom.callbacks import CustomModelCheckpoint
  from imageai.Detection.Custom.utils.multi_gpu_model import multi_gpu_model
  from imageai.Detection.Custom.gen_anchors import generateAnchors
  import tensorflow
  from tensorflow.keras.models import load_model
  from tensorflow.keras import Input
  from tensorflow.keras.callbacks import TensorBoard
  import tensorflow.keras.backend
  import cv2
label_desc: Use image node_id 5 for calling the CustomObjectDetection obj's underlying member method code with example usage: obj.loadModel() without return types