code: def __init__(
      self,
      raw_image,
      saliency,
      title,
      saliency_alpha=0.4,
      saliency_cmap="jet",
  ):
      self.raw_image, self.saliency, self.title = (
          raw_image,
          saliency,
          title,
      )
      self.saliency_alpha, self.saliency_cmap = (
          saliency_alpha,
          saliency_cmap,
      )
  
file_path: tensorwatch/tensorwatch/saliency/saliency.py
imports: from .gradcam import GradCAMExplainer
  from .backprop import VanillaGradExplainer, GradxInputExplainer, SaliencyExplainer, IntegrateGradExplainer, DeconvExplainer, GuidedBackpropExplainer, SmoothGradExplainer
  from .deeplift import DeepLIFTRescaleExplainer
  from .occlusion import OcclusionExplainer
  from .epsilon_lrp import EpsilonLrp
  from .lime_image_explainer import LimeImageExplainer, LimeImagenetExplainer
  import skimage.transform
  import torch
  import math
  from ..None import image_utils
label_desc: Use image node_id 1 to create a new ImageSaliencyResult object  with example: obj = ImageSaliencyResult(raw_image, saliency, title, saliency_alpha, saliency_cmap)