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| 1 | /***********************************************************************
|
|---|---|
| 2 | * Software License Agreement (BSD License) |
| 3 | * |
| 4 | * Copyright 2008-2009 Marius Muja ([email protected]). All rights reserved. |
| 5 | * Copyright 2008-2009 David G. Lowe ([email protected]). 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_ALL_INDICES_H_
|
| 31 | #define _OPENCV_ALL_INDICES_H_
|
| 32 | |
| 33 | #include "opencv2/flann/general.h" |
| 34 | |
| 35 | #include "opencv2/flann/nn_index.h" |
| 36 | #include "opencv2/flann/kdtree_index.h" |
| 37 | #include "opencv2/flann/kmeans_index.h" |
| 38 | #include "opencv2/flann/composite_index.h" |
| 39 | #include "opencv2/flann/linear_index.h" |
| 40 | #include "opencv2/flann/autotuned_index.h" |
| 41 | |
| 42 | namespace cvflann |
| 43 | {
|
| 44 | |
| 45 | template<typename T> |
| 46 | NNIndex<T>* create_index_by_type(const Matrix<T>& dataset, const IndexParams& params) |
| 47 | {
|
| 48 | flann_algorithm_t index_type = params.getIndexType(); |
| 49 | |
| 50 | NNIndex<T>* nnIndex; |
| 51 | switch (index_type) {
|
| 52 | case LINEAR: |
| 53 | nnIndex = new LinearIndex<T>(dataset, (const LinearIndexParams&)params);
|
| 54 | break;
|
| 55 | case KDTREE: |
| 56 | nnIndex = new KDTreeIndex<T>(dataset, (const KDTreeIndexParams&)params);
|
| 57 | break;
|
| 58 | case KMEANS: |
| 59 | nnIndex = new KMeansIndex<T>(dataset, (const KMeansIndexParams&)params);
|
| 60 | break;
|
| 61 | case COMPOSITE: |
| 62 | nnIndex = new CompositeIndex<T>(dataset, (const CompositeIndexParams&) params);
|
| 63 | break;
|
| 64 | case AUTOTUNED: |
| 65 | nnIndex = new AutotunedIndex<T>(dataset, (const AutotunedIndexParams&) params);
|
| 66 | break;
|
| 67 | default:
|
| 68 | throw FLANNException("Unknown index type");
|
| 69 | } |
| 70 | |
| 71 | return nnIndex;
|
| 72 | } |
| 73 | |
| 74 | } //namespace cvflann
|
| 75 | |
| 76 | #endif /* _OPENCV_ALL_INDICES_H_ */ |
