title: Is Tensorflow Object Detection Aspect Ratio height/width or width/height?
body: <p>I'm playing around with Tensorflow's Object Detection models and want to provide my own custom aspect ratios. In the config file it could look something like this:</p>
  
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  <pre class="snippet-code-html lang-html prettyprint-override"><code>    anchor_generator {
        ssd_anchor_generator {
          num_layers: 4
          min_scale: 0.2
          max_scale: 0.95
          aspect_ratios: 1.0
          aspect_ratios: .5
          aspect_ratios: 2.
          aspect_ratios: 10.0
          reduce_boxes_in_lowest_layer: true
        }</code></pre>
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  </p>
  
  <p>Digging through the source code, it isn't obvious to me whether the aspect ratio is defined as height/width or width/height. I assumed that it's width/height (so 10 would have w:h of 10:1) but if I'm wrong I know my model will train very poorly!</p>