version:2.1.5
bugfixes: update:拨号使用ocr进行识别
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@@ -36,7 +36,8 @@
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#include <algorithm>
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#include <vector>
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namespace cvflann {
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namespace cvflann
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{
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/**
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* Priority Queue Implementation
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@@ -45,111 +46,122 @@ namespace cvflann {
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* (full) binary tree in which each parent is less than both of its
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* children, but the order of the children is unspecified.
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*/
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template<typename T>
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class Heap {
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template <typename T>
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class Heap
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{
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/**
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* Storage array for the heap.
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* Type T must be comparable.
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*/
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std::vector<T> heap;
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int length;
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/**
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* Storage array for the heap.
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* Type T must be comparable.
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*/
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std::vector<T> heap;
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int length;
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/**
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* Number of element in the heap
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*/
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int count;
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/**
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* Number of element in the heap
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*/
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int count;
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public:
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/**
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* Constructor.
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*
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* Params:
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* sz = heap size
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*/
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Heap(int sz) {
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length = sz;
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heap.reserve(length);
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count = 0;
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}
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public:
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/**
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* Constructor.
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*
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* Params:
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* sz = heap size
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*/
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/**
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*
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* Returns: heap size
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*/
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int size() {
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return count;
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}
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Heap(int sz)
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{
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length = sz;
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heap.reserve(length);
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count = 0;
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}
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/**
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* Tests if the heap is empty
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*
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* Returns: true is heap empty, false otherwise
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*/
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bool empty() {
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return size() == 0;
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}
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/**
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*
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* Returns: heap size
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*/
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int size()
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{
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return count;
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}
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/**
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* Clears the heap.
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*/
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void clear() {
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heap.clear();
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count = 0;
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}
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/**
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* Tests if the heap is empty
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*
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* Returns: true is heap empty, false otherwise
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*/
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bool empty()
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{
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return size()==0;
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}
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struct CompareT {
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bool operator()(const T &t_1, const T &t_2) const {
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return t_2 < t_1;
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}
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};
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/**
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* Clears the heap.
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*/
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void clear()
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{
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heap.clear();
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count = 0;
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}
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/**
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* Insert a new element in the heap.
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*
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* We select the next empty leaf node, and then keep moving any larger
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* parents down until the right location is found to store this element.
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*
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* Params:
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* value = the new element to be inserted in the heap
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*/
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void insert(T value) {
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/* If heap is full, then return without adding this element. */
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if (count == length) {
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return;
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}
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heap.push_back(value);
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static CompareT compareT;
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std::push_heap(heap.begin(), heap.end(), compareT);
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++count;
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}
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/**
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* Returns the node of minimum value from the heap (top of the heap).
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*
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* Params:
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* value = out parameter used to return the min element
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* Returns: false if heap empty
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*/
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bool popMin(T &value) {
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if (count == 0) {
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return false;
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}
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value = heap[0];
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static CompareT compareT;
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std::pop_heap(heap.begin(), heap.end(), compareT);
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heap.pop_back();
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--count;
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return true; /* Return old last node. */
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struct CompareT
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{
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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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}
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};
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/**
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* Insert a new element in the heap.
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*
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* We select the next empty leaf node, and then keep moving any larger
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* parents down until the right location is found to store this element.
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*
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* Params:
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* value = the new element to be inserted in the heap
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*/
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void insert(T value)
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{
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/* If heap is full, then return without adding this element. */
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if (count == length) {
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return;
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}
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heap.push_back(value);
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static CompareT compareT;
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std::push_heap(heap.begin(), heap.end(), compareT);
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++count;
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}
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/**
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* Returns the node of minimum value from the heap (top of the heap).
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*
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* Params:
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* value = out parameter used to return the min element
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* Returns: false if heap empty
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*/
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bool popMin(T& value)
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{
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if (count == 0) {
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return false;
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}
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value = heap[0];
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static CompareT compareT;
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std::pop_heap(heap.begin(), heap.end(), compareT);
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heap.pop_back();
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--count;
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return true; /* Return old last node. */
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}
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};
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}
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//! @endcond
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