code: def __init__(self, model, predict_fn=None):
      super(LimeImagenetExplainer, self).__init__(
          model, predict_fn or self._imagenet_predict
      )
  
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 LimeImagenetExplainer object from inherited base classes: LimeImageExplainer with example: obj = LimeImagenetExplainer(model, predict_fn)