Updated FLANN to version 1.5
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modules/flann/src/flann.cpp
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222
modules/flann/src/flann.cpp
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/***********************************************************************
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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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* 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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#include <cstdio>
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#include <cstdarg>
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#include <sstream>
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#include "opencv2/flann/dist.h"
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#include "opencv2/flann/index_testing.h"
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#include "opencv2/flann/logger.h"
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#include "opencv2/flann/logger.h"
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#include "opencv2/flann/saving.h"
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#include "opencv2/flann/general.h"
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// index types
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#include "opencv2/flann/all_indices.h"
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namespace cvflann
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{
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// ----------------------- dist.cpp ---------------------------
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/** Global variable indicating the distance metric
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* to be used.
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*/
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flann_distance_t flann_distance_type = EUCLIDEAN;
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/**
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* Zero iterator that emulates a zero feature.
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*/
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ZeroIterator<float> zero;
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/**
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* Order of Minkowski distance to use.
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*/
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int flann_minkowski_order;
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double euclidean_dist(const unsigned char* first1, const unsigned char* last1, unsigned char* first2, double acc)
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{
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double distsq = acc;
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double diff0, diff1, diff2, diff3;
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const unsigned char* lastgroup = last1 - 3;
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while (first1 < lastgroup) {
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diff0 = first1[0] - first2[0];
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diff1 = first1[1] - first2[1];
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diff2 = first1[2] - first2[2];
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diff3 = first1[3] - first2[3];
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distsq += diff0 * diff0 + diff1 * diff1 + diff2 * diff2 + diff3 * diff3;
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first1 += 4;
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first2 += 4;
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}
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while (first1 < last1) {
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diff0 = *first1++ - *first2++;
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distsq += diff0 * diff0;
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}
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return distsq;
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}
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// ----------------------- index_testing.cpp ---------------------------
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int countCorrectMatches(int* neighbors, int* groundTruth, int n)
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{
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int count = 0;
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for (int i=0;i<n;++i) {
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for (int k=0;k<n;++k) {
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if (neighbors[i]==groundTruth[k]) {
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count++;
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break;
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}
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}
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}
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return count;
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}
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// ----------------------- logger.cpp ---------------------------
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Logger logger;
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int Logger::log(int level, const char* fmt, ...)
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{
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if (level > logLevel ) return -1;
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int ret;
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va_list arglist;
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va_start(arglist, fmt);
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ret = vfprintf(stream, fmt, arglist);
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va_end(arglist);
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return ret;
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}
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int Logger::log(int level, const char* fmt, va_list arglist)
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{
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if (level > logLevel ) return -1;
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int ret;
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ret = vfprintf(stream, fmt, arglist);
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return ret;
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}
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#define LOG_METHOD(NAME,LEVEL) \
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int Logger::NAME(const char* fmt, ...) \
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{ \
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int ret; \
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va_list ap; \
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va_start(ap, fmt); \
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ret = log(LEVEL, fmt, ap); \
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va_end(ap); \
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return ret; \
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}
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LOG_METHOD(fatal, LOG_FATAL)
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LOG_METHOD(error, LOG_ERROR)
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LOG_METHOD(warn, LOG_WARN)
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LOG_METHOD(info, LOG_INFO)
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// ----------------------- random.cpp ---------------------------
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void seed_random(unsigned int seed)
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{
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srand(seed);
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}
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double rand_double(double high, double low)
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{
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return low + ((high-low) * (std::rand() / (RAND_MAX + 1.0)));
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}
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int rand_int(int high, int low)
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{
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return low + (int) ( double(high-low) * (std::rand() / (RAND_MAX + 1.0)));
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}
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// ----------------------- saving.cpp ---------------------------
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const char FLANN_SIGNATURE[] = "FLANN_INDEX";
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const char FLANN_VERSION[] = "1.5.0";
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IndexHeader load_header(FILE* stream)
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{
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IndexHeader header;
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int read_size = fread(&header,sizeof(header),1,stream);
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if (read_size!=1) {
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throw FLANNException("Invalid index file, cannot read");
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}
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if (strcmp(header.signature,FLANN_SIGNATURE)!=0) {
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throw FLANNException("Invalid index file, wrong signature");
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}
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return header;
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}
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// ----------------------- flann.cpp ---------------------------
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void log_verbosity(int level)
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{
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if (level>=0) {
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logger.setLevel(level);
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}
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}
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void set_distance_type(flann_distance_t distance_type, int order)
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{
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flann_distance_type = distance_type;
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flann_minkowski_order = order;
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}
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class StaticInit
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{
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public:
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StaticInit()
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{
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ParamsFactory::instance().register_<LinearIndexParams>(LINEAR);
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ParamsFactory::instance().register_<KDTreeIndexParams>(KDTREE);
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ParamsFactory::instance().register_<KMeansIndexParams>(KMEANS);
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ParamsFactory::instance().register_<CompositeIndexParams>(COMPOSITE);
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ParamsFactory::instance().register_<AutotunedIndexParams>(AUTOTUNED);
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// ParamsFactory::instance().register_<SavedIndexParams>(SAVED);
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}
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};
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StaticInit __init;
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} // namespace cvflann
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