/usr/include/flann/util/params.h is in libflann-dev 1.9.1+dfsg-2.
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* Software License Agreement (BSD License)
*
* Copyright 2008-2011 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
* Copyright 2008-2011 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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*************************************************************************/
#ifndef FLANN_PARAMS_H_
#define FLANN_PARAMS_H_
#include "any.h"
#include "flann/general.h"
#include <iostream>
#include <map>
namespace flann
{
namespace anyimpl
{
SMALL_POLICY(flann_algorithm_t);
SMALL_POLICY(flann_centers_init_t);
SMALL_POLICY(flann_log_level_t);
SMALL_POLICY(flann_datatype_t);
}
typedef std::map<std::string, any> IndexParams;
typedef enum {
FLANN_False = 0,
FLANN_True = 1,
FLANN_Undefined
} tri_type;
struct SearchParams
{
SearchParams(int checks_ = 32, float eps_ = 0.0, bool sorted_ = true ) :
checks(checks_), eps(eps_), sorted(sorted_)
{
max_neighbors = -1;
use_heap = FLANN_Undefined;
cores = 1;
matrices_in_gpu_ram = false;
}
// how many leafs to visit when searching for neighbours (-1 for unlimited)
int checks;
// search for eps-approximate neighbours (default: 0)
float eps;
// only for radius search, require neighbours sorted by distance (default: true)
bool sorted;
// maximum number of neighbors radius search should return (-1 for unlimited)
int max_neighbors;
// use a heap to manage the result set (default: FLANN_Undefined)
tri_type use_heap;
// how many cores to assign to the search (used only if compiled with OpenMP capable compiler) (0 for auto)
int cores;
// for GPU search indicates if matrices are already in GPU ram
bool matrices_in_gpu_ram;
};
inline bool has_param(const IndexParams& params, std::string name)
{
return params.find(name)!=params.end();
}
template<typename T>
T get_param(const IndexParams& params, std::string name, const T& default_value)
{
IndexParams::const_iterator it = params.find(name);
if (it != params.end()) {
return it->second.cast<T>();
}
else {
return default_value;
}
}
template<typename T>
T get_param(const IndexParams& params, std::string name)
{
IndexParams::const_iterator it = params.find(name);
if (it != params.end()) {
return it->second.cast<T>();
}
else {
throw FLANNException(std::string("Missing parameter '")+name+std::string("' in the parameters given"));
}
}
inline void print_params(const IndexParams& params)
{
IndexParams::const_iterator it;
for(it=params.begin(); it!=params.end(); ++it) {
std::cout << it->first << " : " << it->second << std::endl;
}
}
inline void print_params(const SearchParams& params)
{
std::cout << "checks : " << params.checks << std::endl;
std::cout << "eps : " << params.eps << std::endl;
std::cout << "sorted : " << params.sorted << std::endl;
std::cout << "max_neighbors : " << params.max_neighbors << std::endl;
}
}
#endif /* FLANN_PARAMS_H_ */
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