<p>In <a href="https://github.com/mlpack/mlpack/pull/683#discussion_r66424464">src/mlpack/methods/edge_boxes/feature_extraction_impl.hpp</a>:</p>
<pre style='color:#555'>> + this->options = inMap;
> +}
> +
> +template<typename MatType, typename CubeType>
> +MatType StructuredForests<MatType, CubeType>::
> +LoadData(MatType& images, MatType& boundaries, MatType& segmentations)
> +{
> + int num_images = this->options["num_images"];
> + int row_size = this->options["row_size"];
> + int col_size = this->options["col_size"];
> + MatType input_data(num_images * row_size * 5, col_size);
> + // we store the input data as follows:
> + // images (3), boundaries (1), segmentations (1).
> + int loop_iter = num_images * 5;
> + size_t row_idx = 0;
> + int col_i = 0, col_s = 0, col_b = 0;
</pre>
<p>use size_t maybe is a better choice, since this type guarantee it is large enough for the index of array</p>
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