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Reworked pad creation algorithm with new parameters:

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* brim size
* force pad around object everywhere
This commit is contained in:
tamasmeszaros 2019-09-24 15:15:49 +02:00
parent 9d775d0a43
commit e675a5d5c6
27 changed files with 1410 additions and 1448 deletions
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44
src/libslic3r/SLA/SLASupportTreeIGL.cpp
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@ -77,7 +77,7 @@ bool PointIndex::remove(const PointIndexEl& el)
}
std::vector<PointIndexEl>
PointIndex::query(std::function<bool(const PointIndexEl &)> fn)
PointIndex::query(std::function<bool(const PointIndexEl &)> fn) const
{
namespace bgi = boost::geometry::index;
@ -86,7 +86,7 @@ PointIndex::query(std::function<bool(const PointIndexEl &)> fn)
return ret;
}
std::vector<PointIndexEl> PointIndex::nearest(const Vec3d &el, unsigned k = 1)
std::vector<PointIndexEl> PointIndex::nearest(const Vec3d &el, unsigned k = 1) const
{
namespace bgi = boost::geometry::index;
std::vector<PointIndexEl> ret; ret.reserve(k);
@ -104,6 +104,11 @@ void PointIndex::foreach(std::function<void (const PointIndexEl &)> fn)
for(auto& el : m_impl->m_store) fn(el);
}
void PointIndex::foreach(std::function<void (const PointIndexEl &)> fn) const
{
for(const auto &el : m_impl->m_store) fn(el);
}
/* **************************************************************************
* BoxIndex implementation
* ************************************************************************** */
@ -274,6 +279,8 @@ double EigenMesh3D::squared_distance(const Vec3d &p, int& i, Vec3d& c) const {
* Misc functions
* ****************************************************************************/
namespace {
bool point_on_edge(const Vec3d& p, const Vec3d& e1, const Vec3d& e2,
double eps = 0.05)
{
@ -289,11 +296,13 @@ template<class Vec> double distance(const Vec& pp1, const Vec& pp2) {
return std::sqrt(p.transpose() * p);
}
}
PointSet normals(const PointSet& points,
const EigenMesh3D& mesh,
double eps,
std::function<void()> thr, // throw on cancel
const std::vector<unsigned>& pt_indices = {})
const std::vector<unsigned>& pt_indices)
{
if(points.rows() == 0 || mesh.V().rows() == 0 || mesh.F().rows() == 0)
return {};
@ -419,9 +428,17 @@ PointSet normals(const PointSet& points,
return ret;
}
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>(
@ -433,25 +450,22 @@ ClusteredPoints cluster(Index3D &sindex,
// 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);
auto cmp = [](const PointIndexEl& e1, const PointIndexEl& e2){
return e1.second < e2.second;
};
std::sort(tmp.begin(), tmp.end(), cmp);
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);
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);
std::sort(cluster.begin(), cluster.end(), cmp_ptidx_elements);
if(!newpts.empty() && (!max_points || cluster.size() < max_points))
group(newpts, cluster);
@ -479,7 +493,6 @@ ClusteredPoints cluster(Index3D &sindex,
return result;
}
namespace {
std::vector<PointIndexEl> distance_queryfn(const Index3D& sindex,
const PointIndexEl& p,
double dist,
@ -496,7 +509,8 @@ std::vector<PointIndexEl> distance_queryfn(const Index3D& sindex,
return tmp;
}
}
} // namespace
// Clustering a set of points by the given criteria
ClusteredPoints cluster(
@ -558,5 +572,5 @@ ClusteredPoints cluster(const PointSet& pts, double dist, unsigned max_points)
});
}
}
}
} // namespace sla
} // namespace Slic3r