title: How to Display Custom Images in Tensorboard (e.g. Matplotlib Plots)?
body: <p>The <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tensorboard/README.md#image-dashboard" rel="noreferrer">Image Dashboard</a> section of the Tensorboard ReadMe says:</p>
  
  <blockquote>
    <p>Since the image dashboard supports arbitrary pngs, you can use this to embed custom visualizations (e.g. matplotlib scatterplots) into TensorBoard.</p>
  </blockquote>
  
  <p>I see how a pyplot image could be written to file, read back in as a tensor, and then used with tf.image_summary() to write it to TensorBoard, but this statement from the readme suggests there is a more direct way. Is there? If so, is there any further documentation and/or examples of how to do this efficiently?  </p>