Mercurial > hg > orthanc-stone
view OrthancStone/Sources/Toolbox/Extent2D.cpp @ 1952:a1e0aae9c17f deep-learning
support interruption of deep learning
author | Sebastien Jodogne <s.jodogne@gmail.com> |
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date | Tue, 16 Aug 2022 13:49:52 +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/>. **/ #include "Extent2D.h" #include <algorithm> #include <cassert> #include <limits> namespace OrthancStone { Extent2D::Extent2D(double x1, double y1, double x2, double y2) : empty_(false), x1_(x1), y1_(y1), x2_(x2), y2_(y2) { if (x1_ > x2_) { std::swap(x1_, x2_); } if (y1_ > y2_) { std::swap(y1_, y2_); } } void Extent2D::Clear() { empty_ = true; x1_ = 0; y1_ = 0; x2_ = 0; y2_ = 0; } void Extent2D::AddPoint(double x, double y) { if (empty_) { x1_ = x; y1_ = y; x2_ = x; y2_ = y; empty_ = false; } else { x1_ = std::min(x1_, x); y1_ = std::min(y1_, y); x2_ = std::max(x2_, x); y2_ = std::max(y2_, y); } assert(x1_ <= x2_ && y1_ <= y2_); // This is the invariant of the structure } void Extent2D::Union(const Extent2D& other) { if (other.empty_) { return; } if (empty_) { *this = other; return; } assert(!empty_); x1_ = std::min(x1_, other.x1_); y1_ = std::min(y1_, other.y1_); x2_ = std::max(x2_, other.x2_); y2_ = std::max(y2_, other.y2_); assert(x1_ <= x2_ && y1_ <= y2_); // This is the invariant of the structure } bool Extent2D::IsEmpty() const { if (empty_) { return true; } else { assert(x1_ <= x2_ && y1_ <= y2_); return (x2_ <= x1_ + 10 * std::numeric_limits<double>::epsilon() || y2_ <= y1_ + 10 * std::numeric_limits<double>::epsilon()); } } bool Extent2D::Contains(double x, double y) const { if (empty_) { return false; } else { return (x >= x1_ && x <= x2_ && y >= y1_ && y <= y2_); } } }