/usr/include/gamera/geostructs/kdtree.hpp is in python-gamera-dev 3.4.2+svn1437-2.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 | #ifndef __kdtree_HPP
#define __kdtree_HPP
//
// Copyright (C) 2009 Christoph Dalitz
//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 2
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
//
#include <vector>
#include <queue>
#include <cstdlib>
namespace Gamera { namespace Kdtree {
typedef std::vector<double> CoordPoint;
typedef std::vector<double> DoubleVector;
// for passing points to the constructor of kdtree
struct KdNode {
CoordPoint point;
void* data;
KdNode(const CoordPoint &p, void* d = NULL) {point = p; data = d;}
KdNode() {data = NULL;}
};
typedef std::vector<KdNode> KdNodeVector;
// base function object for search predicate in knn search
// returns true when the given KdNode is an admissible neighbor
// To define an own search predicate, derive from this class
// and overwrite the call operator operator()
struct KdNodePredicate {
virtual ~KdNodePredicate() {}
virtual bool operator()(const KdNode& kn) const {
return true;
}
};
//--------------------------------------------------------
// private helper classes used internally by KdTree
//
// the internal node structure used by kdtree
class kdtree_node;
// base class for different distance computations
class DistanceMeasure;
// helper class for priority queue in k nearest neighbor search
class nn4heap {
public:
size_t dataindex; // index of actual kdnode in *allnodes*
double distance; // distance of this neighbor from *point*
nn4heap(size_t i, double d) {dataindex = i; distance = d;}
};
class compare_nn4heap {
public:
bool operator()(const nn4heap &n, const nn4heap &m) {
return (n.distance < m.distance);
}
};
//--------------------------------------------------------
// kdtree class
class KdTree {
private:
// recursive build of tree
kdtree_node* build_tree(size_t depth, size_t a, size_t b);
// helper variable for keeping track of subtree bounding box
CoordPoint lobound, upbound;
// helper variables and functions for k nearest neighbor search
std::priority_queue<nn4heap, std::vector<nn4heap>, compare_nn4heap> *neighborheap;
bool neighbor_search(const CoordPoint &point, kdtree_node* node, size_t k);
bool bounds_overlap_ball(const CoordPoint &point, double dist, kdtree_node* node);
bool ball_within_bounds(const CoordPoint &point, double dist, kdtree_node* node);
// class implementing the distance computation
DistanceMeasure* distance;
// search predicate in knn searches
KdNodePredicate* searchpredicate;
public:
KdNodeVector allnodes;
size_t dimension;
kdtree_node* root;
// distance_type can be 0 (max), 1 (city block), or 2 (euklid)
KdTree(const KdNodeVector* nodes, int distance_type=2);
~KdTree();
void set_distance(int distance_type, const DoubleVector* weights = NULL);
void k_nearest_neighbors(const CoordPoint &point, size_t k, KdNodeVector* result, KdNodePredicate* pred = NULL);
};
}} // end namespace Gamera::Kdtree
#endif
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