code: def main():
      data_dir = "/data/mini-imagenet/"
      json_path = "./imagenet_class_index.json"
  
      # load imagenet labels
      label_dict = json.load(open(json_path, "r"))
      label_dict = dict([(v[0], v[1]) for k, v in label_dict.items()])
  
      calculate_split_info(data_dir, label_dict)
  
file_path: deep-learning-for-image-processing/pytorch_classification/mini_imagenet/restructure_csv.py
imports: import os
  import json
  import pandas
  from PIL import Image
  import matplotlib.pyplot
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types