<p>In <a href="https://github.com/mlpack/mlpack/pull/703#discussion_r74704389">src/mlpack/methods/edge_boxes/feature_extraction_impl.hpp</a>:</p>
<pre style='color:#555'>> + size_t y = loc(i, 1);
> +
> + /*(x,y) in channels, is ((x+p), (y+p)) in incCh*/
> + CubeType patch = incCh.tube((x + p) - p, (y + p) - p,
> + (x + p) + p - 1, (y + p) + p - 1);
> + // since each patch has 13 channel we have to increase the index by 13
> + features.slices(channel, channel + 12) = patch;
> + channel += 13;
> + }
> +}
> +
> +template<typename MatType, typename CubeType>
> +void StructuredForests<MatType, CubeType>::
> +Rearrange(const CubeType& channels, CubeType& ch)
> +{
> + //we do (16,16,13*1000) to 256, 1000, 13, in vectorized code.
</pre>
<p>Can you explain why we use 256, I think we could also use a value > 256.</p>
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