title: Can you use LIME for Object Detection? My image needs a Dim attribute
body: <p>I want to use the Lime library to evaluate an image for explainability.
  I have these lines of code;</p>
  <pre><code>iter = 3500
  top_labels = 5
  num_super_pixels = 10
  fasterrcnn_model.eval()
  explainer = lime_image.LimeImageExplainer()
  explanation = explainer.explain_instance(img, fasterrcnn_model, top_labels = top_labels, hide_color = 0, num_samples = iter)
  </code></pre>
  <p>It seems line where I execute the explain_instance method, it does not like the image being a tensor.
  When I convert it from a PILImage to a nump array, I have a problem because I need this image to have a dim attribute, which it does not have.</p>
  <pre><code>def get_image(file):
      path = os.path.join(Constants.dir_individual_image, file)
      p_img = PILImage.open(path)
      img = np.array(p_img)
      t_img = transform_img(img)
      return t_img, img, path
  </code></pre>
  <p>I am wondering if I can use LIME for object detection and Pytorch?</p>