Open Source Computer Vision Library https://opencv.org/
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#ifndef __OPENCV_STITCHING_UTIL_INL_HPP__
#define __OPENCV_STITCHING_UTIL_INL_HPP__
#include <queue>
#include "util.hpp" // Make your IDE see declarations
template <typename B>
B Graph::forEach(B body) const
{
for (int i = 0; i < numVertices(); ++i)
{
std::list<GraphEdge>::const_iterator edge = edges_[i].begin();
for (; edge != edges_[i].end(); ++edge)
body(*edge);
}
return body;
}
template <typename B>
B Graph::walkBreadthFirst(int from, B body) const
{
std::vector<bool> was(numVertices(), false);
std::queue<int> vertices;
was[from] = true;
vertices.push(from);
while (!vertices.empty())
{
int vertex = vertices.front();
vertices.pop();
std::list<GraphEdge>::const_iterator edge = edges_[vertex].begin();
for (; edge != edges_[vertex].end(); ++edge)
{
if (!was[edge->to])
{
body(*edge);
was[edge->to] = true;
vertices.push(edge->to);
}
}
}
return body;
}
//////////////////////////////////////////////////////////////////////////////
// Some auxiliary math functions
static inline
float normL2(const cv::Point3f& a, const cv::Point3f& b)
{
return (a.x - b.x) * (a.x - b.x) + (a.y - b.y) * (a.y - b.y) + (a.z - b.z) * (a.z - b.z);
}
static inline
double normL2sq(const cv::Mat &r)
{
return r.dot(r);
}
template <typename T>
static inline
T sqr(T x)
{
return x * x;
}
#endif // __OPENCV_STITCHING_UTIL_INL_HPP__