title: Tensorflow: Does tf.image.resize still not align corners?
body: <p>I was reading this <a href="https://hackernoon.com/how-tensorflows-tf-image-resize-stole-60-days-of-my-life-aba5eb093f35" rel="nofollow noreferrer">blog post</a> in Hackernoon about how <code>Tensorflow's</code> <code>tf.image.resize_area()</code> function is not reflection equivariant. So if I was going to resize an image in some data augmentation step, that this might really mess up the model training. </p>
  
  <p>The author goes on to say that users should not use any of the <code>tf.image.resize</code> functions, because of potentially unpredictable behavior. The article is from Jan 2018, so not that long ago. I actually checked the article's comments section, and no one has mentioned that the problems were fixed. </p>
  
  <p>I was just wondering if these problems are still true and what the workaround is? Any changes in subsequent versions of <code>tensorflow</code>. Like can I use <code>tf.keras</code> augmentation functions instead to avoid these problems?</p>