code: def preprocess_label(self, label):
      return label
  
file_path: tensorwatch/tensorwatch/saliency/lime_image_explainer.py
imports: from skimage.segmentation import mark_boundaries
  from torchvision import transforms
  import torch
  from .lime import lime_image
  import numpy
  from ..None import imagenet_utils, pytorch_utils, utils
label_desc: Use image node_id 3 for calling the LimeImageExplainer obj's underlying member method code with example usage: obj.preprocess_label(label) and returns: label