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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's 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.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "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.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
namespace cv {
namespace detail {
void 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 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 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 Graph::addEdge(int from, int to, float weight)
{
edges_[from].push_back(GraphEdge(from, to, weight));
}
bool overlapRoi(Point tl1, Point tl2, Size sz1, Size sz2, Rect &roi)
{
int x_tl = std::max(tl1.x, tl2.x);
int y_tl = std::max(tl1.y, tl2.y);
int x_br = std::min(tl1.x + sz1.width, tl2.x + sz2.width);
int y_br = std::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 resultRoi(const std::vector<Point> &corners, const std::vector<UMat> &images)
{
std::vector<Size> sizes(images.size());
for (size_t i = 0; i < images.size(); ++i)
sizes[i] = images[i].size();
return resultRoi(corners, sizes);
}
Rect resultRoi(const std::vector<Point> &corners, const std::vector<Size> &sizes)
{
CV_Assert(sizes.size() == corners.size());
Point tl(std::numeric_limits<int>::max(), std::numeric_limits<int>::max());
Point br(std::numeric_limits<int>::min(), std::numeric_limits<int>::min());
for (size_t i = 0; i < corners.size(); ++i)
{
tl.x = std::min(tl.x, corners[i].x);
tl.y = std::min(tl.y, corners[i].y);
br.x = std::max(br.x, corners[i].x + sizes[i].width);
br.y = std::max(br.y, corners[i].y + sizes[i].height);
}
return Rect(tl, br);
}
Rect resultRoiIntersection(const std::vector<Point> &corners, const std::vector<Size> &sizes)
{
CV_Assert(sizes.size() == corners.size());
Point tl(std::numeric_limits<int>::min(), std::numeric_limits<int>::min());
Point br(std::numeric_limits<int>::max(), std::numeric_limits<int>::max());
for (size_t i = 0; i < corners.size(); ++i)
{
tl.x = std::max(tl.x, corners[i].x);
tl.y = std::max(tl.y, corners[i].y);
br.x = std::min(br.x, corners[i].x + sizes[i].width);
br.y = std::min(br.y, corners[i].y + sizes[i].height);
}
return Rect(tl, br);
}
Point resultTl(const std::vector<Point> &corners)
{
Point tl(std::numeric_limits<int>::max(), std::numeric_limits<int>::max());
for (size_t i = 0; i < corners.size(); ++i)
{
tl.x = std::min(tl.x, corners[i].x);
tl.y = std::min(tl.y, corners[i].y);
}
return tl;
}
void selectRandomSubset(int count, int size, std::vector<int> &subset)
{
subset.clear();
for (int i = 0; i < size; ++i)
{
if (randu<int>() % (size - i) < count)
{
subset.push_back(i);
count--;
}
}
}
int& stitchingLogLevel()
{
static int _log_level=1;
return _log_level;
}
} // namespace detail
} // namespace cv