Files
OrcaSlicer/deps_src/libigl/igl/copyleft/cgal/extract_cells.cpp
Donovan Baarda 807520ca1d Update eigen to v5.0.1 and libigl to v2.6.0. (#11311)
* Update eigen from v3.3.7 to v5.0.1.

This updates eigen from v3.3.7 released on  December 11, 2018-12-11 to v5.0.1
released on 2025-11-11. There have be a large number of bug-fixes,
optimizations, and improvements between these releases. See the details at;

https://gitlab.com/libeigen/eigen/-/releases

It retains the previous custom minimal `CMakeLists.txt`, and adds a
README-OrcaSlicer.md that explains what version and parts of the upstream
eigen release have been included, and where the full release can be found.

* Update libigl from v2.0.0 (or older) to v2.6.0.

This updates libigl from what was probably v2.0.0 released on 2018-10-16 to
v2.6.0 released on 2025-05-15. It's possible the old version was even older
than that but there is no version indicators in the code and I ran out of
patience identifying missing changes and only went back as far as v2.0.0.

There have been a large number of bug-fixes, optimizations, and improvements
between these versions. See the following for details;

https://github.com/libigl/libigl/releases

I retained the minimal custom `CMakeLists.txt`, added `README.md` from the
libigl distribution which identifies the version, and added a
README-OrcaSlicer.md that details the version and parts that have been
included.

* Update libslic3r for libigl v2.6.0 changes.

This updates libslic3r for all changes moving to eigen v5.0.1 and libigl
v2.6.0. Despite the large number of updates to both dependencies, no changes
were required for the eigen update, and only one change was required for the
libigl update.

For libigl, `igl::Hit` was changed to a template taking the Scalar type to
use. Previously it was hard-coded to `float`, so to minimize possible impact
I've updated all places it is used from `igl::Hit` to `igl::Hit<float>`.

* Add compiler option `-DNOMINMAX` for libigl with MSVC.

MSVC by default defines `min(()` and `max()` macros that break
`std::numeric_limits<>::max()`. The upstream cmake that we don't include
adds `-DNOMINMAX` for the libigl module when compiling with MSVC, so we need
to add the same thing here.

* Fix src/libslic3r/TriangleMeshDeal.cpp for the unmodified upstream libigl.

This fixes `TriangleMeshDeal.cpp` to work with the unmodified upstream
libigl v2.6.0. loop.{h,cpp} implementation.

This file and feature was added in PR "BBS Port: Mesh Subdivision" (#12150)
which included changes to `loop.{h,cpp}` in the old version of libigl. This PR
avoids modifying the included dependencies, and uses the updated upstream
versions of those files without any modifications, which requires fixing
TriangleMeshDeal.cpp to work with them.

In particular, the modifications made to `loop.{h,cpp}` included changing the
return type from void to bool, adding additional validation checking of the
input meshes, and returning false if they failed validation. These added
checks looked unnecessary and would only have caught problems if the input
mesh was very corrupt.

To make `TriangleMeshDeal.cpp` work without this built-in checking
functionality, I removed checking/handling of any `false` return value.

There was also a hell of a lot of redundant copying and casting back and forth
between float and double, so I cleaned that up. The input and output meshs use
floats for the vertexes, and there would be no accuracy benefits from casting
to and from doubles for the simple weighted average operations done by
igl::loop(). So this just uses `Eigen:Map` to use the original input mesh
vertex data directly without requiring any copy or casting.

* Move eigen from included `deps_src` to externaly fetched `deps`.

This copys what PrusaSlicer did and moved it from an included dependency under
`deps_src` to an externaly fetched dependency under `deps`. This requires
updating some `CMakeList.txt` configs and removing the old and obsolete
`cmake/modules/FindEigen3.cmake`. The details of when this was done in
PrusaSlicer and the followup fixes are at;

* 21116995d7
* https://github.com/prusa3d/PrusaSlicer/issues/13608
* https://github.com/prusa3d/PrusaSlicer/pull/13609
* e3c277b9ee

For some reason I don't fully understand this also required fixing
`src/slic3r/GUI/GUI_App.cpp` by adding `#include <boost/nowide/cstdio.hpp>` to
fix an `error: ‘remove’ is not a member of ‘boost::nowide'`. The main thing I
don't understand is how it worked before. Note that this include is in the
PrusaSlicer version of this file, but it also significantly deviates from what
is currently in OrcaSlicer in many other ways.

* Whups... I missed adding the deps/Eigen/Eigen.cmake file...

* Tidy some whitespace indenting in CMakeLists.txt.

* Ugh... tabs indenting needing fixes.

* Change the include order of deps/Eigen.

It turns out that although Boost includes some references to Eigen, Eigen also
includes some references to Boost for supporting some of it's additional
numeric types.

I don't think it matters much since we are not using these features, but I
think technically its more correct to say Eigen depends on Boost than the
other way around, so I've re-ordered them.

* Add source for Eigen 5.0.1 download to flatpak yml config.

* Add explicit `DEPENDS dep_Boost to deps/Eigen.

I missed this before. This ensures we don't rely on include orders to make
sure Boost is installed before we configure Eigen.

* Add `DEPENDS dep_Boost dep_GMP dep_MPFR` to deps/Eigen.

It turns out Eigen can also use GMP and MPFR for multi-precision and
multi-precision-rounded numeric types if they are available.

Again, I don't think we are using these so it doesn't really matter, but it is
technically correct and ensures they are there if we ever do need them.

* Fix deps DEPENDENCY ordering for GMP, MPFR, Eigen, and CGAL.

I think this is finally correct. Apparently CGAL also optionally depends on
Eigen, so the correct dependency order from lowest to highest is GMP, MPFR, Eigen, and CGAL.

---------

Co-authored-by: Donovan Baarda <dbaarda@google.com>
Co-authored-by: Noisyfox <timemanager.rick@gmail.com>
2026-05-12 20:35:21 +08:00

395 lines
15 KiB
C++

// This file is part of libigl, a simple c++ geometry processing library.
//
// Copyright (C) 2015 Qingnan Zhou <qnzhou@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla Public License
// v. 2.0. If a copy of the MPL was not distributed with this file, You can
// obtain one at http://mozilla.org/MPL/2.0/.
//
#include "extract_cells.h"
#include "extract_cells_single_component.h"
#include "closest_facet.h"
#include "outer_facet.h"
#include "submesh_aabb_tree.h"
#include "../../extract_manifold_patches.h"
#include "../../facet_components.h"
#include "../../IGL_ASSERT.h"
#include "../../parallel_for.h"
#include "../../get_seconds.h"
#include "../../PlainMatrix.h"
#include "../../triangle_triangle_adjacency.h"
#include "../../unique_edge_map.h"
#include "../../C_STR.h"
#include "../../vertex_triangle_adjacency.h"
#include <CGAL/AABB_tree.h>
#include <CGAL/AABB_traits.h>
#include <CGAL/AABB_triangle_primitive.h>
#include <CGAL/intersections.h>
#include <CGAL/Exact_predicates_exact_constructions_kernel.h>
#include <iostream>
#include <vector>
#include <queue>
#include <map>
#include <set>
//#define EXTRACT_CELLS_TIMING
template<
typename DerivedV,
typename DerivedF,
typename DerivedC >
IGL_INLINE size_t igl::copyleft::cgal::extract_cells(
const Eigen::MatrixBase<DerivedV>& V,
const Eigen::MatrixBase<DerivedF>& F,
Eigen::PlainObjectBase<DerivedC>& cells)
{
using Index = typename DerivedF::Scalar;
static_assert(
std::is_same<Index, typename DerivedC::Scalar>::value,
"Index type mismatch");
using MatrixXI = Eigen::Matrix<Index, Eigen::Dynamic, Eigen::Dynamic>;
using VectorXI = Eigen::Matrix<Index, Eigen::Dynamic, 1>;
const size_t num_faces = F.rows();
// Construct edge adjacency
MatrixXI E, uE;
VectorXI EMAP;
VectorXI uEC,uEE;
igl::unique_edge_map(F, E, uE, EMAP, uEC, uEE);
// Cluster into manifold patches
VectorXI P;
igl::extract_manifold_patches(F, EMAP, uEC, uEE, P);
// Extract cells
DerivedC per_patch_cells;
const size_t ncells = extract_cells(V,F,P,uE,EMAP,uEC,uEE,per_patch_cells);
// Distribute per-patch cell information to each face
cells.resize(num_faces, 2);
for (size_t i=0; i<num_faces; i++)
{
cells.row(i) = per_patch_cells.row(P[i]);
}
return ncells;
}
template<
typename DerivedV,
typename DerivedF,
typename DerivedP,
typename DeriveduE,
typename DerivedEMAP,
typename DeriveduEC,
typename DeriveduEE,
typename DerivedC >
IGL_INLINE size_t igl::copyleft::cgal::extract_cells(
const Eigen::MatrixBase<DerivedV>& V,
const Eigen::MatrixBase<DerivedF>& F,
const Eigen::MatrixBase<DerivedP>& P,
const Eigen::MatrixBase<DeriveduE>& uE,
const Eigen::MatrixBase<DerivedEMAP>& EMAP,
const Eigen::MatrixBase<DeriveduEC>& uEC,
const Eigen::MatrixBase<DeriveduEE>& uEE,
Eigen::PlainObjectBase<DerivedC>& cells)
{
// Trivial base case
if(P.size() == 0)
{
assert(F.size() == 0);
cells.resize(0,2);
return 0;
}
typedef CGAL::Exact_predicates_exact_constructions_kernel Kernel;
#ifdef EXTRACT_CELLS_TIMING
const auto & tictoc = []() -> double
{
static double t_start = igl::get_seconds();
double diff = igl::get_seconds()-t_start;
t_start += diff;
return diff;
};
const auto log_time = [&](const std::string& label) -> void {
printf("%50s: %0.5lf\n",
C_STR("extract_cells." << label),tictoc());
};
tictoc();
#else
// no-op
const auto log_time = [](const std::string){};
#endif
const size_t num_faces = F.rows();
typedef typename DerivedF::Scalar Index;
using VectorXI = Eigen::Matrix<Index, Eigen::Dynamic, 1>;
assert(P.size() > 0);
const size_t num_patches = P.maxCoeff()+1;
// Extract all cells...
DerivedC raw_cells;
const int num_raw_cells =
extract_cells_single_component(V,F,P,uE,uEC,uEE,raw_cells);
log_time("extract_cells_single_component");
// Compute triangle-triangle adjacency data-structure
std::vector<std::vector<std::vector<Index > > > TT,_1;
igl::triangle_triangle_adjacency(EMAP, uEC, uEE, false, TT, _1);
log_time("compute_face_adjacency");
// Compute connected components of the mesh
Eigen::VectorXi C, counts;
igl::facet_components(TT, C, counts);
log_time("form_components");
const size_t num_components = counts.size();
// components[c] --> list of face indices into F of faces in component c
std::vector<std::vector<size_t> > components(num_components);
// Loop over all faces
for (size_t i=0; i<num_faces; i++)
{
components[C[i]].push_back(i);
}
// Convert vector lists to Eigen lists...
// and precompute data-structures for each component
std::vector<std::vector<size_t> > VF,VFi;
igl::vertex_triangle_adjacency(V.rows(), F, VF, VFi);
std::vector<VectorXI> Is(num_components);
std::vector<
CGAL::AABB_tree<
CGAL::AABB_traits<
Kernel,
CGAL::AABB_triangle_primitive<
Kernel, std::vector<
Kernel::Triangle_3 >::iterator > > > > trees(num_components);
std::vector< std::vector<Kernel::Triangle_3 > >
triangle_lists(num_components);
// O(num_components * num_faces)
// In general, extract_cells appears to have O(num_components * num_faces)
// performance. This could be painfully tested by a processing a cloud of
// tetrahedra.
std::vector<std::vector<bool> > in_Is(num_components);
// Find outer facets, their orientations and cells for each component
VectorXI outer_facets(num_components);
VectorXI outer_facet_orientation(num_components);
VectorXI outer_cells(num_components);
igl::parallel_for(num_components,[&](size_t i)
{
Is[i].resize(components[i].size());
std::copy(components[i].begin(), components[i].end(),Is[i].data());
bool flipped;
igl::copyleft::cgal::outer_facet(V, F, Is[i], outer_facets[i], flipped);
outer_facet_orientation[i] = flipped?1:0;
outer_cells[i] = raw_cells(P[outer_facets[i]], outer_facet_orientation[i]);
},1000);
#ifdef EXTRACT_CELLS_TIMING
log_time("outer_facet_per_component");
#endif
// Compute barycenter of a triangle in mesh (V,F)
//
// Inputs:
// fid index into F
// Returns row-vector of barycenter coordinates
const auto get_triangle_center = [&V,&F](const size_t fid)
{
return ((V.row(F(fid,0))+V.row(F(fid,1))+V.row(F(fid,2)))/3.0).eval();
};
std::vector<std::vector<size_t> > nested_cells(num_raw_cells);
std::vector<std::vector<size_t> > ambient_cells(num_raw_cells);
std::vector<std::vector<size_t> > ambient_comps(num_components);
// Only bother if there's more than one component
if(num_components > 1)
{
// construct bounding boxes for each component
PlainMatrix<DerivedV,Eigen::Dynamic,3> bbox_min(num_components, 3);
PlainMatrix<DerivedV,Eigen::Dynamic,3> bbox_max(num_components, 3);
// Assuming our mesh (in exact numbers) fits in the range of double.
bbox_min.setConstant(std::numeric_limits<double>::max());
bbox_max.setConstant(std::numeric_limits<double>::lowest());
// Loop over faces
for (size_t i=0; i<num_faces; i++)
{
// component of this face
const auto comp_id = C[i];
const auto& f = F.row(i);
for (size_t j=0; j<3; j++)
{
for(size_t d=0;d<3;d++)
{
bbox_min(comp_id,d) = std::min(bbox_min(comp_id,d), V(f[j],d));
bbox_max(comp_id,d) = std::max(bbox_max(comp_id,d), V(f[j],d));
}
}
}
// Return true if box of component ci intersects that of cj
const auto bbox_intersects = [&bbox_max,&bbox_min](size_t ci, size_t cj)
{
return !(
bbox_max(ci,0) < bbox_min(cj,0) ||
bbox_max(ci,1) < bbox_min(cj,1) ||
bbox_max(ci,2) < bbox_min(cj,2) ||
bbox_max(cj,0) < bbox_min(ci,0) ||
bbox_max(cj,1) < bbox_min(ci,1) ||
bbox_max(cj,2) < bbox_min(ci,2));
};
// Loop over components. This section is O(m²)
for (size_t i=0; i<num_components; i++)
{
// List of components that could overlap with component i
std::vector<size_t> candidate_comps;
candidate_comps.reserve(num_components);
// Loop over components
for (size_t j=0; j<num_components; j++)
{
if (i == j) continue;
if (bbox_intersects(i,j)) candidate_comps.push_back(j);
}
const size_t num_candidate_comps = candidate_comps.size();
if (num_candidate_comps == 0) continue;
// Build aabb tree for this component.
submesh_aabb_tree(V,F,Is[i],trees[i],triangle_lists[i],in_Is[i]);
// Get query points on each candidate component: barycenter of
// outer-facet
PlainMatrix<DerivedV,Eigen::Dynamic,3> queries(num_candidate_comps, 3);
for (size_t j=0; j<num_candidate_comps; j++)
{
const size_t index = candidate_comps[j];
queries.row(j) = get_triangle_center(outer_facets[index]);
}
// Gather closest facets in ith component to each query point and their
// orientations
const auto& I = Is[i];
const auto& tree = trees[i];
const auto& in_I = in_Is[i];
const auto& triangles = triangle_lists[i];
VectorXI closest_facets, closest_facet_orientations;
closest_facet(
V,
F,
I,
queries,
EMAP,
uEC,
uEE,
VF,
VFi,
tree,
triangles,
in_I,
closest_facets,
closest_facet_orientations);
// Loop over all candidates
for (size_t j=0; j<num_candidate_comps; j++)
{
const size_t index = candidate_comps[j];
const size_t closest_patch = P[closest_facets[j]];
const size_t closest_patch_side = closest_facet_orientations[j] ? 0:1;
// The cell id of the closest patch
const size_t ambient_cell =
raw_cells(closest_patch,closest_patch_side);
if (ambient_cell != (size_t)outer_cells[i])
{
// ---> component index inside component i, because the cell of the
// closest facet on i to component index is **not** the same as the
// "outer cell" of component i: component index is **not** outside of
// component i (therefore it's inside).
nested_cells[ambient_cell].push_back(outer_cells[index]);
ambient_cells[outer_cells[index]].push_back(ambient_cell);
ambient_comps[index].push_back(i);
}
}
}
}
#ifdef EXTRACT_CELLS_TIMING
log_time("nested_relationship");
#endif
const size_t INVALID = std::numeric_limits<size_t>::max();
const size_t INFINITE_CELL = num_raw_cells;
std::vector<size_t> embedded_cells(num_raw_cells, INVALID);
for (size_t i=0; i<num_components; i++) {
const size_t outer_cell = outer_cells[i];
const auto& ambient_comps_i = ambient_comps[i];
const auto& ambient_cells_i = ambient_cells[outer_cell];
const size_t num_ambient_comps = ambient_comps_i.size();
assert(num_ambient_comps == ambient_cells_i.size());
if (num_ambient_comps > 0) {
size_t embedded_comp = INVALID;
size_t embedded_cell = INVALID;
for (size_t j=0; j<num_ambient_comps; j++) {
if (ambient_comps[ambient_comps_i[j]].size() ==
num_ambient_comps-1) {
embedded_comp = ambient_comps_i[j];
embedded_cell = ambient_cells_i[j];
break;
}
}
IGL_ASSERT(embedded_comp != INVALID);
IGL_ASSERT(embedded_cell != INVALID);
embedded_cells[outer_cell] = embedded_cell;
} else {
embedded_cells[outer_cell] = INFINITE_CELL;
}
}
for (size_t i=0; i<num_patches; i++) {
if (embedded_cells[raw_cells(i,0)] != INVALID) {
raw_cells(i,0) = embedded_cells[raw_cells(i, 0)];
}
if (embedded_cells[raw_cells(i,1)] != INVALID) {
raw_cells(i,1) = embedded_cells[raw_cells(i, 1)];
}
}
size_t count = 0;
std::vector<size_t> mapped_indices(num_raw_cells+1, INVALID);
// Always map infinite cell to index 0.
mapped_indices[INFINITE_CELL] = count;
count++;
for (size_t i=0; i<num_patches; i++) {
const size_t old_positive_cell_id = raw_cells(i, 0);
const size_t old_negative_cell_id = raw_cells(i, 1);
size_t positive_cell_id, negative_cell_id;
if (mapped_indices[old_positive_cell_id] == INVALID) {
mapped_indices[old_positive_cell_id] = count;
positive_cell_id = count;
count++;
} else {
positive_cell_id = mapped_indices[old_positive_cell_id];
}
if (mapped_indices[old_negative_cell_id] == INVALID) {
mapped_indices[old_negative_cell_id] = count;
negative_cell_id = count;
count++;
} else {
negative_cell_id = mapped_indices[old_negative_cell_id];
}
raw_cells(i, 0) = positive_cell_id;
raw_cells(i, 1) = negative_cell_id;
}
cells = raw_cells;
#ifdef EXTRACT_CELLS_TIMING
log_time("finalize");
#endif
return count;
}
#ifdef IGL_STATIC_LIBRARY
#include <CGAL/Exact_predicates_exact_constructions_kernel.h>
// Explicit template instantiation
// generated by autoexplicit.sh
template size_t igl::copyleft::cgal::extract_cells<Eigen::Matrix<CGAL::Epeck::FT, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(Eigen::MatrixBase<Eigen::Matrix<CGAL::Epeck::FT, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
template size_t igl::copyleft::cgal::extract_cells<Eigen::Matrix<CGAL::Epeck::FT, -1, -1, 1, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(Eigen::MatrixBase<Eigen::Matrix<CGAL::Epeck::FT, -1, -1, 1, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
template size_t igl::copyleft::cgal::extract_cells<Eigen::Matrix<CGAL::Epeck::FT, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(Eigen::MatrixBase<Eigen::Matrix<CGAL::Epeck::FT, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
#ifdef WIN32
#endif
#endif