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|---|---|---|---|
| 1 | /* | ||
| 2 | * Copyright (c) 2000-2022 Inria | ||
| 3 | * All rights reserved. | ||
| 4 | * | ||
| 5 | * Redistribution and use in source and binary forms, with or without | ||
| 6 | * modification, are permitted provided that the following conditions are met: | ||
| 7 | * | ||
| 8 | * * Redistributions of source code must retain the above copyright notice, | ||
| 9 | * this list of conditions and the following disclaimer. | ||
| 10 | * * Redistributions in binary form must reproduce the above copyright notice, | ||
| 11 | * this list of conditions and the following disclaimer in the documentation | ||
| 12 | * and/or other materials provided with the distribution. | ||
| 13 | * * Neither the name of the ALICE Project-Team nor the names of its | ||
| 14 | * contributors may be used to endorse or promote products derived from this | ||
| 15 | * software without specific prior written permission. | ||
| 16 | * | ||
| 17 | * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | ||
| 18 | * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
| 19 | * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | ||
| 20 | * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE | ||
| 21 | * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | ||
| 22 | * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | ||
| 23 | * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | ||
| 24 | * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | ||
| 25 | * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | ||
| 26 | * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | ||
| 27 | * POSSIBILITY OF SUCH DAMAGE. | ||
| 28 | * | ||
| 29 | * Contact: Bruno Levy | ||
| 30 | * | ||
| 31 | * https://www.inria.fr/fr/bruno-levy | ||
| 32 | * | ||
| 33 | * Inria, | ||
| 34 | * Domaine de Voluceau, | ||
| 35 | * 78150 Le Chesnay - Rocquencourt | ||
| 36 | * FRANCE | ||
| 37 | * | ||
| 38 | */ | ||
| 39 | |||
| 40 | #include <geogram/points/nn_search.h> | ||
| 41 | #include <geogram/points/kd_tree.h> | ||
| 42 | #include <geogram/basic/command_line.h> | ||
| 43 | #include <geogram/basic/logger.h> | ||
| 44 | |||
| 45 | /****************************************************************************/ | ||
| 46 | |||
| 47 | namespace GEO { | ||
| 48 | |||
| 49 | 174 | NearestNeighborSearch::NearestNeighborSearch( | |
| 50 | coord_index_t dimension | ||
| 51 | 174 | ) : | |
| 52 | 174 | dimension_(dimension), | |
| 53 | 174 | nb_points_(0), | |
| 54 | 174 | stride_(0), | |
| 55 | 174 | points_(nullptr), | |
| 56 | 174 | exact_(true) { | |
| 57 | 174 | } | |
| 58 | |||
| 59 | ✗ | void NearestNeighborSearch::get_nearest_neighbors( | |
| 60 | index_t nb_neighbors, | ||
| 61 | const double* query_point, | ||
| 62 | index_t* neighbors, | ||
| 63 | double* neighbors_sq_dist, | ||
| 64 | KeepInitialValues | ||
| 65 | ) const { | ||
| 66 | ✗ | get_nearest_neighbors( | |
| 67 | nb_neighbors, | ||
| 68 | query_point, | ||
| 69 | neighbors, | ||
| 70 | neighbors_sq_dist | ||
| 71 | ); | ||
| 72 | ✗ | } | |
| 73 | |||
| 74 | ✗ | void NearestNeighborSearch::get_nearest_neighbors( | |
| 75 | index_t nb_neighbors, | ||
| 76 | index_t query_point, | ||
| 77 | index_t* neighbors, | ||
| 78 | double* neighbors_sq_dist | ||
| 79 | ) const { | ||
| 80 | ✗ | get_nearest_neighbors( | |
| 81 | nb_neighbors, | ||
| 82 | point_ptr(query_point), | ||
| 83 | neighbors, | ||
| 84 | neighbors_sq_dist | ||
| 85 | ); | ||
| 86 | ✗ | } | |
| 87 | |||
| 88 | ✗ | void NearestNeighborSearch::set_points( | |
| 89 | index_t nb_points, const double* points | ||
| 90 | ) { | ||
| 91 | ✗ | nb_points_ = nb_points; | |
| 92 | ✗ | points_ = points; | |
| 93 | ✗ | stride_ = dimension_; | |
| 94 | ✗ | } | |
| 95 | |||
| 96 | ✗ | bool NearestNeighborSearch::stride_supported() const { | |
| 97 | ✗ | return false; | |
| 98 | } | ||
| 99 | |||
| 100 | ✗ | void NearestNeighborSearch::set_points( | |
| 101 | index_t nb_points, const double* points, index_t stride | ||
| 102 | ) { | ||
| 103 | ✗ | if(stride == index_t(dimension())) { | |
| 104 | ✗ | set_points(nb_points, points); | |
| 105 | ✗ | return; | |
| 106 | } | ||
| 107 | ✗ | geo_assert(stride_supported()); | |
| 108 | ✗ | nb_points_ = nb_points; | |
| 109 | ✗ | points_ = points; | |
| 110 | ✗ | stride_ = stride; | |
| 111 | } | ||
| 112 | |||
| 113 | 3 | void NearestNeighborSearch::set_exact(bool x) { | |
| 114 | 3 | exact_ = x; | |
| 115 | 3 | } | |
| 116 | |||
| 117 | 348 | NearestNeighborSearch::~NearestNeighborSearch() { | |
| 118 | 348 | } | |
| 119 | |||
| 120 | 174 | NearestNeighborSearch* NearestNeighborSearch::create( | |
| 121 | coord_index_t dimension, const std::string& name_in | ||
| 122 | ) { | ||
| 123 |
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378 | geo_register_NearestNeighborSearch_creator( |
| 124 | BalancedKdTree, "BNN" | ||
| 125 | ); | ||
| 126 | |||
| 127 |
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378 | geo_register_NearestNeighborSearch_creator( |
| 128 | AdaptiveKdTree, "CNN" | ||
| 129 | ); | ||
| 130 | |||
| 131 | std::string name = name_in; | ||
| 132 |
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174 | if(name == "default") { |
| 133 |
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220 | name = CmdLine::get_arg("algo:nn_search"); |
| 134 | } | ||
| 135 | |||
| 136 | NearestNeighborSearch* nns = | ||
| 137 | NearestNeighborSearchFactory::create_object(name, dimension); | ||
| 138 |
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174 | if(nns != nullptr) { |
| 139 | return nns; | ||
| 140 | } | ||
| 141 | |||
| 142 | ✗ | Logger::warn("NNSearch") | |
| 143 | << "Could not create NNSearch algorithm: " << name | ||
| 144 | << std::endl | ||
| 145 | << "Falling back to BNN" | ||
| 146 | << std::endl; | ||
| 147 | |||
| 148 | ✗ | return new BalancedKdTree(dimension); | |
| 149 | } | ||
| 150 | } | ||
| 151 |