Open Source Computer Vision Library https://opencv.org/
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// License Agreement
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#include "precomp.hpp"
using namespace std;
using namespace cv;
void cv::DisjointSets::createOneElemSets(int n)
{
rank_.assign(n, 0);
size.assign(n, 1);
parent.resize(n);
for (int i = 0; i < n; ++i)
parent[i] = i;
}
int cv::DisjointSets::findSetByElem(int elem)
{
int set = elem;
while (set != parent[set])
set = parent[set];
int next;
while (elem != parent[elem])
{
next = parent[elem];
parent[elem] = set;
elem = next;
}
return set;
}
int cv::DisjointSets::mergeSets(int set1, int set2)
{
if (rank_[set1] < rank_[set2])
{
parent[set1] = set2;
size[set2] += size[set1];
return set2;
}
if (rank_[set2] < rank_[set1])
{
parent[set2] = set1;
size[set1] += size[set2];
return set1;
}
parent[set1] = set2;
rank_[set2]++;
size[set2] += size[set1];
return set2;
}
void cv::Graph::addEdge(int from, int to, float weight)
{
edges_[from].push_back(GraphEdge(from, to, weight));
}
bool cv::overlapRoi(Point tl1, Point tl2, Size sz1, Size sz2, Rect &roi)
{
int x_tl = max(tl1.x, tl2.x);
int y_tl = max(tl1.y, tl2.y);
int x_br = min(tl1.x + sz1.width, tl2.x + sz2.width);
int y_br = min(tl1.y + sz1.height, tl2.y + sz2.height);
if (x_tl < x_br && y_tl < y_br)
{
roi = Rect(x_tl, y_tl, x_br - x_tl, y_br - y_tl);
return true;
}
return false;
}
Rect cv::resultRoi(const vector<Point> &corners, const vector<Mat> &images)
{
vector<Size> sizes(images.size());
for (size_t i = 0; i < images.size(); ++i)
sizes[i] = images[i].size();
return resultRoi(corners, sizes);
}
Rect cv::resultRoi(const vector<Point> &corners, const vector<Size> &sizes)
{
CV_Assert(sizes.size() == corners.size());
Point tl(numeric_limits<int>::max(), numeric_limits<int>::max());
Point br(numeric_limits<int>::min(), numeric_limits<int>::min());
for (size_t i = 0; i < corners.size(); ++i)
{
tl.x = min(tl.x, corners[i].x);
tl.y = min(tl.y, corners[i].y);
br.x = max(br.x, corners[i].x + sizes[i].width);
br.y = max(br.y, corners[i].y + sizes[i].height);
}
return Rect(tl, br);
}
Point cv::resultTl(const vector<Point> &corners)
{
Point tl(numeric_limits<int>::max(), numeric_limits<int>::max());
for (size_t i = 0; i < corners.size(); ++i)
{
tl.x = min(tl.x, corners[i].x);
tl.y = min(tl.y, corners[i].y);
}
return tl;
}
void cv::selectRandomSubset(int count, int size, vector<int> &subset)
{
subset.clear();
for (int i = 0; i < size; ++i)
{
if (randu<int>() % (size - i) < count)
{
subset.push_back(i);
count--;
}
}
}