view OrthancStone/Sources/Toolbox/Internals/BucketMapper.h @ 2123:538c7b7c6e46 deep-learning

integration mainline->deep-learning
author Sebastien Jodogne <s.jodogne@gmail.com>
date Fri, 22 Mar 2024 16:11:42 +0100
parents c23eef785569
children 16c01cc201e7
line wrap: on
line source

/**
 * Stone of Orthanc
 * Copyright (C) 2012-2016 Sebastien Jodogne, Medical Physics
 * Department, University Hospital of Liege, Belgium
 * Copyright (C) 2017-2024 Osimis S.A., Belgium
 * Copyright (C) 2021-2024 Sebastien Jodogne, ICTEAM UCLouvain, Belgium
 *
 * This program is free software: you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public License
 * as published by the Free Software Foundation, either version 3 of
 * the License, or (at your option) any later version.
 *
 * This program 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
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this program. If not, see
 * <http://www.gnu.org/licenses/>.
 **/


#pragma once

#include <boost/noncopyable.hpp>
#include <stddef.h>


namespace OrthancStone
{
  namespace Internals
  {
    class BucketMapper : public boost::noncopyable
    {
    private:
      double  minValue_;
      double  maxValue_;
      size_t  bucketsCount_;

    public:
      BucketMapper(double minValue,
                   double maxValue,
                   size_t bucketsCount);

      size_t GetSize() const
      {
        return bucketsCount_;
      }

      void CheckIndex(size_t i) const;

      double GetBucketLow(size_t i) const;

      double GetBucketHigh(size_t i) const;

      double GetBucketCenter(size_t i) const;
      
      size_t GetBucketIndex(double value) const;
    };
  }
}