Mercurial > hg > orthanc-stone
view OrthancStone/Sources/Loaders/IFetchingItemsSorter.h @ 1953:0661115af939 deep-learning
first successful application of deep learning
author | Sebastien Jodogne <s.jodogne@gmail.com> |
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date | Tue, 16 Aug 2022 15:05:51 +0200 |
parents | 7053b8a0aaec |
children | 07964689cb0b |
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/** * Stone of Orthanc * Copyright (C) 2012-2016 Sebastien Jodogne, Medical Physics * Department, University Hospital of Liege, Belgium * Copyright (C) 2017-2022 Osimis S.A., Belgium * Copyright (C) 2021-2022 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 <vector> namespace OrthancStone { class IFetchingItemsSorter : public boost::noncopyable { public: class IFactory : public boost::noncopyable { public: virtual ~IFactory() { } virtual IFetchingItemsSorter* CreateSorter(unsigned int itemsCount) const = 0; }; virtual ~IFetchingItemsSorter() { } virtual unsigned int GetItemsCount() const = 0; // Sort a set of items given the current item virtual void Sort(std::vector<unsigned int>& target, unsigned int current) = 0; }; };