code: def get_img_id(image_name):
      return image_name.split("/")[-1].replace(".JPEG", "")
  
file_path: EfficientNet-PyTorch/sotabench.py
imports: import os
  import numpy
  import PIL
  import torch
  from torch.utils.data import DataLoader
  import torchvision.transforms
  from torchvision.datasets import ImageNet
  from efficientnet_pytorch import EfficientNet
  from sotabencheval.image_classification import ImageNetEvaluator
  from sotabencheval.utils import is_server
label_desc: Use image node_id 1 for calling a global function with example usage: get_img_id(image_name) and returns: image_name