EstervQrCode 2.0.0
Library for qr code manipulation
Loading...
Searching...
No Matches
all_indices.h
1/***********************************************************************
2 * Software License Agreement (BSD License)
3 *
4 * Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
5 * Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
6 *
7 * Redistribution and use in source and binary forms, with or without
8 * modification, are permitted provided that the following conditions
9 * are met:
10 *
11 * 1. Redistributions of source code must retain the above copyright
12 * notice, this list of conditions and the following disclaimer.
13 * 2. Redistributions in binary form must reproduce the above copyright
14 * notice, this list of conditions and the following disclaimer in the
15 * documentation and/or other materials provided with the distribution.
16 *
17 * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
18 * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
19 * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
20 * IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
21 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
22 * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
23 * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
24 * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
25 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
26 * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
27 *************************************************************************/
28
29
30#ifndef OPENCV_FLANN_ALL_INDICES_H_
31#define OPENCV_FLANN_ALL_INDICES_H_
32
34
35#include "general.h"
36
37#include "nn_index.h"
38#include "kdtree_index.h"
39#include "kdtree_single_index.h"
40#include "kmeans_index.h"
41#include "composite_index.h"
42#include "linear_index.h"
43#include "hierarchical_clustering_index.h"
44#include "lsh_index.h"
45#include "autotuned_index.h"
46
47
48namespace cvflann
49{
50
51template<typename KDTreeCapability, typename VectorSpace, typename Distance>
52struct index_creator
53{
54 static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
55 {
56 flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
57
58 NNIndex<Distance>* nnIndex;
59 switch (index_type) {
60 case FLANN_INDEX_LINEAR:
61 nnIndex = new LinearIndex<Distance>(dataset, params, distance);
62 break;
63 case FLANN_INDEX_KDTREE_SINGLE:
64 nnIndex = new KDTreeSingleIndex<Distance>(dataset, params, distance);
65 break;
66 case FLANN_INDEX_KDTREE:
67 nnIndex = new KDTreeIndex<Distance>(dataset, params, distance);
68 break;
69 case FLANN_INDEX_KMEANS:
70 nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
71 break;
72 case FLANN_INDEX_COMPOSITE:
73 nnIndex = new CompositeIndex<Distance>(dataset, params, distance);
74 break;
75 case FLANN_INDEX_AUTOTUNED:
76 nnIndex = new AutotunedIndex<Distance>(dataset, params, distance);
77 break;
78 case FLANN_INDEX_HIERARCHICAL:
79 nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
80 break;
81 case FLANN_INDEX_LSH:
82 nnIndex = new LshIndex<Distance>(dataset, params, distance);
83 break;
84 default:
85 FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
86 }
87
88 return nnIndex;
89 }
90};
91
92template<typename VectorSpace, typename Distance>
93struct index_creator<False,VectorSpace,Distance>
94{
95 static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
96 {
97 flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
98
99 NNIndex<Distance>* nnIndex;
100 switch (index_type) {
101 case FLANN_INDEX_LINEAR:
102 nnIndex = new LinearIndex<Distance>(dataset, params, distance);
103 break;
104 case FLANN_INDEX_KMEANS:
105 nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
106 break;
107 case FLANN_INDEX_HIERARCHICAL:
108 nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
109 break;
110 case FLANN_INDEX_LSH:
111 nnIndex = new LshIndex<Distance>(dataset, params, distance);
112 break;
113 default:
114 FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
115 }
116
117 return nnIndex;
118 }
119};
120
121template<typename Distance>
122struct index_creator<False,False,Distance>
123{
124 static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
125 {
126 flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
127
128 NNIndex<Distance>* nnIndex;
129 switch (index_type) {
130 case FLANN_INDEX_LINEAR:
131 nnIndex = new LinearIndex<Distance>(dataset, params, distance);
132 break;
133 case FLANN_INDEX_KMEANS:
134 nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
135 break;
136 case FLANN_INDEX_HIERARCHICAL:
137 nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
138 break;
139 case FLANN_INDEX_LSH:
140 nnIndex = new LshIndex<Distance>(dataset, params, distance);
141 break;
142 default:
143 FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
144 }
145
146 return nnIndex;
147 }
148};
149
150template<typename Distance>
151NNIndex<Distance>* create_index_by_type(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
152{
153 return index_creator<typename Distance::is_kdtree_distance,
154 typename Distance::is_vector_space_distance,
155 Distance>::create(dataset, params,distance);
156}
157
158}
159
161
162#endif /* OPENCV_FLANN_ALL_INDICES_H_ */
cv::Error::StsBadArg
@ StsBadArg
function arg/param is bad
Definition base.hpp:74
cvflann
Definition flann.hpp:60