code: def __init__(self, model, predict_fn):
      self.model = model
      self.predict_fn = predict_fn
  
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 1 to create a new LimeImageExplainer object  with example: obj = LimeImageExplainer(model, predict_fn)