f, distort, conf.rescale)
          out = self.convert_locs_to_targets(locs)
          # Return the results as float32.
          out_32 = [o.astype('float32') for o in out]
          return [ims.astype('float32'), locs.astype('float32'), info.astype('float32')] + out_32

    </code></pre>

<p>For more control over training, you can also override the following functions:</p>


<h2><a id="posebasegeneral"> Inheriting PoseBaseGeneral</a></h2>
    <p>This class provides more flexibility for adding tensorflow 1