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https://github.com/introlab/rtabmap.git
synced 2026-09-02 09:30:25 +08:00
integrating c++17 fixes from #959 (ref:https://github.com/flann-lib/flann/pull/392), fixed pop_t error (b6e37553de)
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@@ -80,7 +80,7 @@ void FlannIndex::release()
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UDEBUG("");
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}
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unsigned int FlannIndex::indexedFeatures() const
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size_t FlannIndex::indexedFeatures() const
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{
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if(!index_)
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{
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@@ -108,13 +108,13 @@ unsigned int FlannIndex::indexedFeatures() const
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}
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// return Bytes
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unsigned long FlannIndex::memoryUsed() const
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size_t FlannIndex::memoryUsed() const
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{
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if(!index_)
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{
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return 0;
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}
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unsigned long memoryUsage = sizeof(FlannIndex);
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size_t memoryUsage = sizeof(FlannIndex);
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memoryUsage += addedDescriptors_.size() * (sizeof(int) + sizeof(cv::Mat) + sizeof(std::map<int, cv::Mat>::iterator)) + sizeof(std::map<int, cv::Mat>);
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memoryUsage += sizeof(std::list<int>) + removedIndexes_.size() * sizeof(int);
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if(featuresType_ == CV_8UC1)
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@@ -324,7 +324,10 @@ public:
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#endif
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/** Strict less ordering by name of key only */
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struct KeyOrder : std::binary_function<Entry, Entry, bool> {
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struct KeyOrder {
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using result_type = bool;
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using first_argument_type = Entry;
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using second_argument_type = Entry;
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bool operator()(const Entry & lhs, const Entry & rhs) const {
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const static SI_STRLESS isLess = SI_STRLESS();
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return isLess(lhs.pItem, rhs.pItem);
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@@ -332,7 +335,10 @@ public:
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};
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/** Strict less ordering by order, and then name of key */
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struct LoadOrder : std::binary_function<Entry, Entry, bool> {
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struct LoadOrder {
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using result_type = bool;
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using first_argument_type = Entry;
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using second_argument_type = Entry;
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bool operator()(const Entry & lhs, const Entry & rhs) const {
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if (lhs.nOrder != rhs.nOrder) {
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return lhs.nOrder < rhs.nOrder;
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@@ -477,6 +477,10 @@ struct HammingPopcnt
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ResultType operator()(Iterator1 a, Iterator2 b, size_t size, ResultType /*worst_dist*/ = -1) const
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{
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ResultType result = 0;
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//for portability just use unsigned long -- and use the __builtin_popcountll (see docs for __builtin_popcountll)
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typedef unsigned long long pop_t;
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#if __GNUC__
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#if ANDROID && HAVE_NEON
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static uint64_t features = android_getCpuFeatures();
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@@ -37,6 +37,7 @@
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#include <cstring>
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#include <stdarg.h>
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#include <cmath>
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#include <random>
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#include "rtflann/general.h"
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#include "rtflann/algorithms/nn_index.h"
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@@ -677,7 +678,9 @@ protected:
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/* Construct the randomized trees. */
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for (int i = 0; i < trees_; i++) {
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/* Randomize the order of vectors to allow for unbiased sampling. */
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std::random_shuffle(ind.begin(), ind.end());
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std::random_device rd;
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std::mt19937 g(rd());
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std::shuffle(ind.begin(), ind.end(), g);
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tree_roots_[i] = divideTree(&ind[0], int(size_) );
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}
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delete[] mean_;
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@@ -115,8 +115,11 @@ public:
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count = 0;
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}
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struct CompareT : public std::binary_function<T,T,bool>
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struct CompareT
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{
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using result_type = bool;
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using first_argument_type = T;
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using second_argument_type = T;
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bool operator()(const T& t_1, const T& t_2) const
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{
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return t_2 < t_1;
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@@ -47,6 +47,7 @@
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#endif
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#include <math.h>
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#include <stddef.h>
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#include <random>
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#include "rtflann/util/dynamic_bitset.h"
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#include "rtflann/util/matrix.h"
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@@ -364,7 +365,9 @@ inline LshTable<unsigned char>::LshTable(unsigned int feature_size, unsigned int
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// A bit brutal but fast to code
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std::vector<size_t> indices(feature_size * CHAR_BIT);
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for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) indices[i] = i;
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std::random_shuffle(indices.begin(), indices.end());
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std::random_device rd;
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std::mt19937 g(rd());
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std::shuffle(indices.begin(), indices.end(), g);
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// Generate a random set of order of subsignature_size_ bits
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for (unsigned int i = 0; i < key_size_; ++i) {
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@@ -35,6 +35,7 @@
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#include <cstdlib>
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#include <cstddef>
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#include <vector>
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#include <random>
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#include "rtflann/general.h"
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@@ -76,13 +77,6 @@ inline int rand_int(int high = RAND_MAX, int low = 0)
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}
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class RandomGenerator
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{
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public:
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ptrdiff_t operator() (ptrdiff_t i) { return rand_int(i); }
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};
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/**
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* Random number generator that returns a distinct number from
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* the [0,n) interval each time.
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@@ -110,14 +104,15 @@ public:
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*/
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void init(int n)
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{
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static RandomGenerator generator;
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// create and initialize an array of size n
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vals_.resize(n);
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size_ = n;
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for (int i = 0; i < size_; ++i) vals_[i] = i;
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// shuffle the elements in the array
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std::random_shuffle(vals_.begin(), vals_.end(), generator);
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std::random_device rd;
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std::mt19937 g(rd());
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std::shuffle(vals_.begin(), vals_.end(), g);
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counter_ = 0;
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}
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