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Refactored FlannIndex: Moved class into its own include file. Added radiusSearch() and buildKDtreeSingleIndex() methods. If dimensions <= 3 and float, use L2_Simple distance type.
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114
corelib/include/rtabmap/core/FlannIndex.h
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114
corelib/include/rtabmap/core/FlannIndex.h
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/*
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Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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All rights reserved.
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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 are met:
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* 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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* 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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* Neither the name of the Universite de Sherbrooke nor the
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names of its contributors may be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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ON ANY 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 THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#ifndef CORELIB_SRC_FLANNINDEX_H_
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#define CORELIB_SRC_FLANNINDEX_H_
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#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
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#include <opencv2/opencv.hpp>
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namespace rtabmap {
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class RTABMAP_EXP FlannIndex
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{
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public:
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FlannIndex();
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virtual ~FlannIndex();
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void release();
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unsigned int indexedFeatures() const;
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// return KB
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unsigned int memoryUsed() const;
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// Note that useDistanceL1 doesn't have any effect if LSH is used
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void buildLinearIndex(
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const cv::Mat & features,
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bool useDistanceL1 = false);
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void buildKDTreeIndex(
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const cv::Mat & features,
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int trees = 4,
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bool useDistanceL1 = false);
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void buildKDTreeSingleIndex(
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const cv::Mat & features,
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int leafMaxSize = 10,
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bool reorder = true,
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bool useDistanceL1 = false);
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void buildLSHIndex(
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const cv::Mat & features,
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unsigned int table_number = 12,
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unsigned int key_size = 20,
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unsigned int multi_probe_level = 2);
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bool isBuilt();
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int featuresType() const {return featuresType_;}
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int featuresDim() const {return featuresDim_;}
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unsigned int addPoints(const cv::Mat & features);
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void removePoint(unsigned int index);
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// return squared distances
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void knnSearch(
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const cv::Mat & query,
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cv::Mat & indices,
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cv::Mat & dists,
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int knn,
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int checks = 32,
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float eps = 0.0,
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bool sorted = true) const;
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// return squared distances
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void radiusSearch(
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const cv::Mat & query,
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std::vector<std::vector<size_t> > & indices,
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std::vector<std::vector<float> > & dists,
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float radius,
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int maxNeighbors = 0,
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int checks = 32,
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float eps = 0.0,
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bool sorted = true) const;
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private:
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void * index_;
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unsigned int nextIndex_;
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int featuresType_;
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int featuresDim_;
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bool isLSH_;
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bool useDistanceL1_; // true=EUCLEDIAN_L2 false=MANHATTAN_L1
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// keep feature in memory until the tree is rebuilt
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// (in case the word is deleted when removed from the VWDictionary)
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std::map<int, cv::Mat> addedDescriptors_;
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std::list<int> removedIndexes_;
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};
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} /* namespace rtabmap */
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#endif /* CORELIB_SRC_FLANNINDEX_H_ */
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