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95 lines
3.3 KiB
95 lines
3.3 KiB
/*********************************************************************** |
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* Software License Agreement (BSD License) |
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* |
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* Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved. |
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* Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved. |
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* |
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* THE BSD LICENSE |
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* |
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* Redistribution and use in source and binary forms, with or without |
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* modification, are permitted provided that the following conditions |
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* are met: |
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* |
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* 1. Redistributions of source code must retain the above copyright |
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* notice, this list of conditions and the following disclaimer. |
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* 2. Redistributions in binary form must reproduce the above copyright |
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* notice, this list of conditions and the following disclaimer in the |
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* documentation and/or other materials provided with the distribution. |
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* |
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR |
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES |
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* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. |
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* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, |
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT |
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* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, |
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY |
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF |
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* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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*************************************************************************/ |
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#ifndef OPENCV_FLANN_GROUND_TRUTH_H_ |
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#define OPENCV_FLANN_GROUND_TRUTH_H_ |
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#include "dist.h" |
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#include "matrix.h" |
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namespace cvflann |
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{ |
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template <typename Distance> |
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void find_nearest(const Matrix<typename Distance::ElementType>& dataset, typename Distance::ElementType* query, int* matches, int nn, |
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int skip = 0, Distance distance = Distance()) |
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{ |
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typedef typename Distance::ElementType ElementType; |
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typedef typename Distance::ResultType DistanceType; |
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int n = nn + skip; |
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std::vector<int> match(n); |
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std::vector<DistanceType> dists(n); |
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dists[0] = distance(dataset[0], query, dataset.cols); |
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match[0] = 0; |
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int dcnt = 1; |
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for (size_t i=1; i<dataset.rows; ++i) { |
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DistanceType tmp = distance(dataset[i], query, dataset.cols); |
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if (dcnt<n) { |
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match[dcnt] = (int)i; |
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dists[dcnt++] = tmp; |
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} |
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else if (tmp < dists[dcnt-1]) { |
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dists[dcnt-1] = tmp; |
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match[dcnt-1] = (int)i; |
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} |
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int j = dcnt-1; |
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// bubble up |
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while (j>=1 && dists[j]<dists[j-1]) { |
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std::swap(dists[j],dists[j-1]); |
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std::swap(match[j],match[j-1]); |
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j--; |
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} |
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} |
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for (int i=0; i<nn; ++i) { |
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matches[i] = match[i+skip]; |
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} |
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} |
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template <typename Distance> |
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void compute_ground_truth(const Matrix<typename Distance::ElementType>& dataset, const Matrix<typename Distance::ElementType>& testset, Matrix<int>& matches, |
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int skip=0, Distance d = Distance()) |
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{ |
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for (size_t i=0; i<testset.rows; ++i) { |
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find_nearest<Distance>(dataset, testset[i], matches[i], (int)matches.cols, skip, d); |
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} |
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} |
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} |
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#endif //OPENCV_FLANN_GROUND_TRUTH_H_
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