code: def score_model(model, x_data, mask_data, n_classes):
      results = model.predict(x_data)
      return (
          np.array([iou(results, mask_data, i) for i in BDD_IDS]).T,
          results,
      )
  
imports: import os
  import pickle
  import shutil
  import time
  import numpy
  import wandb
  from PIL import Image
label_desc: Use image node_id 16 for calling a global function with example usage: score_model(model, x_data, mask_data, n_classes) and returns: np,  results