Mercurial > hg > orthanc-stone
view OrthancStone/Sources/Toolbox/BucketAccumulator1D.cpp @ 2115:de049fd88697 deep-learning
integration mainline->deep-learning
author | Sebastien Jodogne <s.jodogne@gmail.com> |
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date | Wed, 24 Jan 2024 16:44:40 +0100 |
parents | c23eef785569 |
children | 16c01cc201e7 |
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/** * 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/>. **/ #include "BucketAccumulator1D.h" #include "LinearAlgebra.h" #include <OrthancException.h> namespace OrthancStone { BucketAccumulator1D::BucketAccumulator1D(double minValue, double maxValue, size_t countBuckets, bool storeValues) : mapper_(minValue, maxValue, countBuckets), buckets_(countBuckets), storeValues_(storeValues) { } size_t BucketAccumulator1D::GetBucketContentSize(size_t i) const { mapper_.CheckIndex(i); return buckets_[i].count_; } void BucketAccumulator1D::AddValue(double value) { Bucket& bucket = buckets_[mapper_.GetBucketIndex(value)]; bucket.count_++; if (storeValues_) { bucket.values_.push_back(value); } } size_t BucketAccumulator1D::FindBestBucket() const { size_t best = 0; for (size_t i = 0; i < buckets_.size(); i++) { if (buckets_[i].count_ > buckets_[best].count_) { best = i; } } return best; } double BucketAccumulator1D::ComputeBestMedian() const { if (!storeValues_) { throw Orthanc::OrthancException(Orthanc::ErrorCode_BadSequenceOfCalls); } const std::list<double>& values = buckets_[FindBestBucket()].values_; std::vector<double> v; v.reserve(values.size()); for (std::list<double>::const_iterator it = values.begin(); it != values.end(); ++it) { v.push_back(*it); } return LinearAlgebra::ComputeMedian(v); } }