code: def create_model(num_classes):
      backbone = Backbone()
      model = SSD300(backbone=backbone, num_classes=num_classes)
  
      return model
  
file_path: deep-learning-for-image-processing/pytorch_object_detection/ssd/predict_test.py
imports: import os
  import json
  import time
  import torch
  from PIL import Image
  import matplotlib.pyplot
  import transforms
  from src import SSD300, Backbone
  from draw_box_utils import draw_objs
label_desc: Use image node_id 1 for calling a global function with example usage: create_model(num_classes) and returns: model