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69 lines
2.1 KiB
C
69 lines
2.1 KiB
C
/***********************************************************************
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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 CONSTANTS_H
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#define CONSTANTS_H
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const double FLANN_VERSION = 1.20;
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/* Nearest neighbor index algorithms */
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enum flann_algorithm_t {
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LINEAR = 0,
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KDTREE = 1,
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KMEANS = 2,
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COMPOSITE = 3,
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SAVED = 254,
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AUTOTUNED = 255,
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};
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enum flann_centers_init_t {
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CENTERS_RANDOM = 0,
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CENTERS_GONZALES = 1,
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CENTERS_KMEANSPP = 2
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};
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enum flann_log_level_t {
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LOG_NONE = 0,
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LOG_FATAL = 1,
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LOG_ERROR = 2,
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LOG_WARN = 3,
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LOG_INFO = 4
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};
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enum flann_distance_t {
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EUCLIDEAN = 1,
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MANHATTAN = 2,
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MINKOWSKI = 3
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};
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#endif // CONSTANTS_H
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