title: What does image_resizer mean in the Tensorflow Faster RCNN config file
body: <p>When training a model using Tensorflow Faster RCNN, what will the image_resizer do to the input image? 
  Supposing the image_resizer in the Faster_RCNN config file is set as</p>
  
  <pre><code>image_resizer {
    keep_aspect_ratio_resizer {
      min_dimension: 1000
      max_dimension: 1000
    }
  }
  </code></pre>
  
  <p>I have one input image <strong>A.jpg</strong> with 1000*1000 pixels, then I do data augmentation by resizing (enlarging) this image by a ratio of 1.2 using a third party tool, which gives me another image <strong>B.jpg</strong> with 1200*1200 pixels.</p>
  
  <p>When these two images are fed into the Faster RCNN model, what will the image resizer do to A.jpg and B.jpg? If I have understood correctly, A.jpg is kept as it is, B.jpg will be resized to 1000*1000, which means the resized B.jpg will be exactly the same image as A.jpg?! So, this kind of image resizing for data augmentation is useless?</p>