<p>In <a href="https://github.com/mlpack/mlpack/pull/683#discussion_r66457157">src/mlpack/methods/edge_boxes/feature_extraction_impl.hpp</a>:</p>
<pre style='color:#555'>> + n_color_ch: number of color channels
> + n_grad_ch: number of gradient channels
> + n_ch: total number of channels
> + */
> + int n_color_ch, n_grad_ch, n_ch;
> + if (this->options["rgbd"] == 0)
> + n_color_ch = 3;
> + else
> + n_color_ch = 4;
> +
> + n_grad_ch = 2 * (1 + this->options["n_orient"]);
> +
> + n_ch = n_color_ch + n_grad_ch;
> + P[0] = pow((p_size / shrink) , 2) * n_ch;
> + P[1] = pow(n_cell , 2) * (pow (n_cell, 2) - 1) / 2 * n_ch;
> + return P;
</pre>
<p>maybe std::pow is a better choice, since c++ version provide lot of overloads, c only convert the type to double.</p>
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