[Olena-patches] milena r1798: Naive DT rebuilt. Does not compile

URL: https://svn.lrde.epita.fr/svn/oln/trunk/milena ChangeLog: 2008-03-22 Etienne FOLIO &lt;folio(a)lrde.epita.fr&gt; Naive DT rebuilt. Does not compile. * naive.cc: Uses a given function to calculate the norm. --- naive.cc | 149 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 149 insertions(+) Index: trunk/milena/sandbox/folio/naive.cc =================================================================== --- trunk/milena/sandbox/folio/naive.cc (revision 0) +++ trunk/milena/sandbox/folio/naive.cc (revision 1798) @@ -0,0 +1,149 @@ +// Copyright (C) 2007, 2008 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of the Olena Library. This library is free +// software; you can redistribute it and/or modify it under the terms +// of the GNU General Public License version 2 as published by the +// Free Software Foundation. +// +// This library is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with this library; see the file COPYING. If not, write to +// the Free Software Foundation, 51 Franklin Street, Fifth Floor, +// Boston, MA 02111-1307, USA. +// +// As a special exception, you may use this file as part of a free +// software library without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to +// produce an executable, this file does not by itself cause the +// resulting executable to be covered by the GNU General Public +// License. This exception does not however invalidate any other +// reasons why the executable file might be covered by the GNU General +// Public License. + +/*! \file TODO + * + * \brief Defines a function that creates a distance map corresponding to a + * given image. + */ + +#ifndef MLN_DT_NAIVE_HH +# define MLN_DT_NAIVE_HH + +# include <mln/core/concept/image.hh> +# include <mln/literal/zero.hh> +# include <mln/accu/min.hh> + +namespace mln +{ + + namespace dt + { + + /*! Calculates the distance map corresponding to a given image + * + * \param[in] input_ The binary reference image. + * \param[in] fun_ The function used for distance aclculus. + * \return New distance map image. + * + * \pre \p input_ has to be initialized. + * + * \fixme Use instead of R the result type of F::operator(). + */ + template <typename I, typename F, typename R> + mln_ch_value(I, R) + naive(const Image<I>& input_, F& fun_); + + +# ifndef MLN_INCLUDE_ONLY + + // Facade. + + template <typename I, typename F, typename R> + inline + mln_ch_value(I, R) + naive(const Image<I>& input_, F& fun_) + { + const I& input = exact(input_); + mln_precondition(input.has_data()); + + mln_ch_value(I, R) output; + initialize(input.domain()); + + mln_piter(I) p(input.domain()); + for_all(p) + { + if (input(p)) + output(p) = literal::zero; + else + { + // p is in the background so the distance has to be computed. + accu::min_<R> min; + min.init(); + + mln_piter(I) q(input.domain()); + for_all(q) + if (input(q)) + { + // q is in the object. +// metal::vec<2, int> vp = p.to_point(), vq = q.to_point(); +// min.take(fun_(vp, vq)); + min.take(fun_(p, q)); + } + output(p) = min; + } + } + + return output; + } + +# endif // ! MLN_INCLUDE_ONLY + + } // end of namespace mln::dt + +} // end of namespace mln + +#endif // ! MLN_DT_NAIVE_HH + +#include <iostream> +#include <mln/debug/println.hh> +#include <mln/core/image2d.hh> +#include <mln/level/fill.hh> +#include <mln/norm/l2.hh> + +struct l2norm +{ + template <typename C, typename D> + D + operator()(C a, C b) + { + return mln::norm::l2(a, b); + } +}; + +int main() +{ + using namespace mln; + + { + image2d<bool> ima(5,5); + bool vals[] = { 1, 1, 1, 0, 0, + 0, 0, 1, 0, 0, + 0, 0, 1, 0, 0, + 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0 }; + + level::fill(ima, vals); + debug::println(ima); + + l2norm fun; + image2d<float> out = dt::naive(ima, fun); + + std::cerr << "Distance:" << std::endl; + debug::println(out); + } +}