<p>In <a href="https://github.com/mlpack/mlpack/pull/683#discussion_r66470893">src/mlpack/methods/edge_boxes/feature_extraction_impl.hpp</a>:</p>
<pre style='color:#555'>> + OutImage.slice(1) = U;
> + OutImage.slice(2) = V;
> + //OutImage = arma::join_slices(L,U);
> + //OutImage = arma::join_slices(OutImage, V);
> + return OutImage;
> +}
> +
> +template<typename MatType, typename CubeType>
> +MatType StructuredForests<MatType, CubeType>::
> +bilinearInterpolation(MatType const &src,
> + size_t height, size_t width)
> +{
> + MatType dst(height, width);
> + double const x_ratio = static_cast<double>((src.n_cols - 1)) / width;
> + double const y_ratio = static_cast<double>((src.n_rows - 1)) / height;
> + for(size_t row = 0; row != dst.n_rows; ++row)
</pre>
<p>opencv is row based, but armadillo is col based, if we want speed, we better iterate by col, but this could be done later on, write the unit test, make sure prototype is correct before we start to optimize.</p>
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