code: def diagnosis(mask_path):
      return 1 if np.max(cv2.imread(mask_path)) > 0 else 0
  
file_path: BigDL/python/orca/example/learn/pytorch/brainMRI/dataset.py
imports: import numpy
  import random
  import cv2
  import torch
  import torchvision.transforms
  import torch.utils.data
label_desc: Use image node_id 2 for calling a global function with example usage: diagnosis(mask_path) and returns: unknown