code: def create_model(num_classes, box_thresh=0.5):
      backbone = resnet50_fpn_backbone()
      model = MaskRCNN(
          backbone,
          num_classes=num_classes,
          rpn_score_thresh=box_thresh,
          box_score_thresh=box_thresh,
      )
  
      return model
  
file_path: deep-learning-for-image-processing/pytorch_object_detection/mask_rcnn/predict.py
imports: import os
  import time
  import json
  import numpy
  from PIL import Image
  import matplotlib.pyplot
  import torch
  from torchvision import transforms
  from network_files import MaskRCNN
  from backbone import resnet50_fpn_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, box_thresh) and returns: model