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#include "Clustering.hpp"
#include "boost/geometry/index/rtree.hpp"
#include <libslic3r/SLA/SpatIndex.hpp>
#include <libslic3r/SLA/BoostAdapter.hpp>
namespace Slic3r { namespace sla {
namespace bgi = boost::geometry::index;
using Index3D = bgi::rtree< PointIndexEl, bgi::rstar<16, 4> /* ? */ >;
namespace {
bool cmp_ptidx_elements(const PointIndexEl& e1, const PointIndexEl& e2)
{
return e1.second < e2.second;
};
ClusteredPoints cluster(Index3D &sindex,
unsigned max_points,
std::function<std::vector<PointIndexEl>(
const Index3D &, const PointIndexEl &)> qfn)
{
using Elems = std::vector<PointIndexEl>;
// Recursive function for visiting all the points in a given distance to
// each other
std::function<void(Elems&, Elems&)> group =
[&sindex, &group, max_points, qfn](Elems& pts, Elems& cluster)
{
for(auto& p : pts) {
std::vector<PointIndexEl> tmp = qfn(sindex, p);
std::sort(tmp.begin(), tmp.end(), cmp_ptidx_elements);
Elems newpts;
std::set_difference(tmp.begin(), tmp.end(),
cluster.begin(), cluster.end(),
std::back_inserter(newpts), cmp_ptidx_elements);
int c = max_points && newpts.size() + cluster.size() > max_points?
int(max_points - cluster.size()) : int(newpts.size());
cluster.insert(cluster.end(), newpts.begin(), newpts.begin() + c);
std::sort(cluster.begin(), cluster.end(), cmp_ptidx_elements);
if(!newpts.empty() && (!max_points || cluster.size() < max_points))
group(newpts, cluster);
}
};
std::vector<Elems> clusters;
for(auto it = sindex.begin(); it != sindex.end();) {
Elems cluster = {};
Elems pts = {*it};
group(pts, cluster);
for(auto& c : cluster) sindex.remove(c);
it = sindex.begin();
clusters.emplace_back(cluster);
}
ClusteredPoints result;
for(auto& cluster : clusters) {
result.emplace_back();
for(auto c : cluster) result.back().emplace_back(c.second);
}
return result;
}
std::vector<PointIndexEl> distance_queryfn(const Index3D& sindex,
const PointIndexEl& p,
double dist,
unsigned max_points)
{
std::vector<PointIndexEl> tmp; tmp.reserve(max_points);
sindex.query(
bgi::nearest(p.first, max_points),
std::back_inserter(tmp)
);
for(auto it = tmp.begin(); it < tmp.end(); ++it)
if((p.first - it->first).norm() > dist) it = tmp.erase(it);
return tmp;
}
} // namespace
// Clustering a set of points by the given criteria
ClusteredPoints cluster(
const std::vector<unsigned>& indices,
std::function<Vec3d(unsigned)> pointfn,
double dist,
unsigned max_points)
{
// A spatial index for querying the nearest points
Index3D sindex;
// Build the index
for(auto idx : indices) sindex.insert( std::make_pair(pointfn(idx), idx));
return cluster(sindex, max_points,
[dist, max_points](const Index3D& sidx, const PointIndexEl& p)
{
return distance_queryfn(sidx, p, dist, max_points);
});
}
// Clustering a set of points by the given criteria
ClusteredPoints cluster(
const std::vector<unsigned>& indices,
std::function<Vec3d(unsigned)> pointfn,
std::function<bool(const PointIndexEl&, const PointIndexEl&)> predicate,
unsigned max_points)
{
// A spatial index for querying the nearest points
Index3D sindex;
// Build the index
for(auto idx : indices) sindex.insert( std::make_pair(pointfn(idx), idx));
return cluster(sindex, max_points,
[max_points, predicate](const Index3D& sidx, const PointIndexEl& p)
{
std::vector<PointIndexEl> tmp; tmp.reserve(max_points);
sidx.query(bgi::satisfies([p, predicate](const PointIndexEl& e){
return predicate(p, e);
}), std::back_inserter(tmp));
return tmp;
});
}
ClusteredPoints cluster(const Eigen::MatrixXd& pts, double dist, unsigned max_points)
{
// A spatial index for querying the nearest points
Index3D sindex;
// Build the index
for(Eigen::Index i = 0; i < pts.rows(); i++)
sindex.insert(std::make_pair(Vec3d(pts.row(i)), unsigned(i)));
return cluster(sindex, max_points,
[dist, max_points](const Index3D& sidx, const PointIndexEl& p)
{
return distance_queryfn(sidx, p, dist, max_points);
});
}
}} // namespace Slic3r::sla
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