Files
OrcaSlicer/deps_src/libigl/igl/readPLY.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

648 lines
24 KiB
C++

#include "readPLY.h"
#include <string>
#include <set>
#include <fstream>
#include <iostream>
#include <cstdint>
#include <Eigen/Core>
#include "tinyply.h"
#include "read_file_binary.h"
#include "FileMemoryStream.h"
namespace igl
{
template <typename T, typename Derived>
IGL_INLINE bool _tinyply_buffer_to_matrix(
tinyply::PlyData & D,
Eigen::PlainObjectBase<Derived> & M,
size_t rows,
size_t cols )
{
Eigen::Map< Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> >
_map( reinterpret_cast<T *>( D.buffer.get()), rows, cols );
M = _map.template cast<typename Derived::Scalar>();
return true;
}
template <typename Derived>
IGL_INLINE bool tinyply_buffer_to_matrix(
tinyply::PlyData & D,
Eigen::PlainObjectBase<Derived> & M,
size_t rows,
size_t cols )
{
switch(D.t)
{
case tinyply::Type::INT8 :
return _tinyply_buffer_to_matrix<std::int8_t,Derived>(D, M,rows,cols);
case tinyply::Type::UINT8 :
return _tinyply_buffer_to_matrix<std::uint8_t,Derived>(D, M,rows,cols);
case tinyply::Type::INT16 :
return _tinyply_buffer_to_matrix<std::int16_t,Derived>(D, M,rows,cols);
case tinyply::Type::UINT16 :
return _tinyply_buffer_to_matrix<std::uint16_t,Derived>(D, M,rows,cols);
case tinyply::Type::INT32 :
return _tinyply_buffer_to_matrix<std::int32_t,Derived>(D, M,rows,cols);
case tinyply::Type::UINT32 :
return _tinyply_buffer_to_matrix<std::uint32_t,Derived>(D, M,rows,cols);
case tinyply::Type::FLOAT32 :
return _tinyply_buffer_to_matrix<float,Derived>(D, M,rows,cols);
case tinyply::Type::FLOAT64 :
return _tinyply_buffer_to_matrix<double,Derived>(D, M,rows,cols);
default:
return false;
}
}
template <typename T, typename Derived>
IGL_INLINE bool _tinyply_tristrips_to_trifaces(
tinyply::PlyData & D,
Eigen::PlainObjectBase<Derived> & M,
size_t el,
size_t el_len )
{
Eigen::Map< Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> >
_map( reinterpret_cast<T *>( D.buffer.get()), el, el_len );
// to make it more interesting, triangles in triangle strip can be separated by negative index elements
// 1. count all triangles
size_t triangles=0;
// TODO: it's possible to optimize this , i suppose
for(size_t i=0; i<el; i++)
for(size_t j=0; j<(el_len-2); j++)
{
if(_map(i,j)>=0 && _map(i,j+1)>=0 && _map(i,j+2)>=0)
triangles++;
}
// 2. convert triangles to faces, skipping over the negative indeces, indicating separate strips
M.resize(triangles, 3);
size_t k=0;
for(size_t i=0; i<el; i++)
{
int flip=0;
for(size_t j=0; j<(el_len-2); j++)
{
if(_map(i,j)>=0 && _map(i,j+1)>=0 && _map(i,j+2)>=0)
{
// consequtive faces on the same strip have to be flip-flopped, to preserve orientation
M( k,0 ) = static_cast<typename Derived::Scalar>( _map(i, j ) );
M( k,1 ) = static_cast<typename Derived::Scalar>( _map(i, j+1+flip ) );
M( k,2 ) = static_cast<typename Derived::Scalar>( _map(i, j+1+(flip^1) ) );
k++;
flip ^= 1;
} else {
// reset flip on new strip start
flip = 0;
}
}
}
assert(k==triangles);
return true;
}
template <typename Derived>
IGL_INLINE bool tinyply_tristrips_to_faces(
tinyply::PlyData & D,
Eigen::PlainObjectBase<Derived> & M,
size_t el,
size_t el_len )
{
switch(D.t)
{
case tinyply::Type::INT8 :
return _tinyply_tristrips_to_trifaces<std::int8_t,Derived>(D, M,el,el_len);
case tinyply::Type::UINT8 :
return _tinyply_tristrips_to_trifaces<std::uint8_t,Derived>(D, M,el,el_len);
case tinyply::Type::INT16 :
return _tinyply_tristrips_to_trifaces<std::int16_t,Derived>(D, M,el,el_len);
case tinyply::Type::UINT16 :
return _tinyply_tristrips_to_trifaces<std::uint16_t,Derived>(D, M,el,el_len);
case tinyply::Type::INT32 :
return _tinyply_tristrips_to_trifaces<std::int32_t,Derived>(D, M,el,el_len);
case tinyply::Type::UINT32 :
return _tinyply_tristrips_to_trifaces<std::uint32_t,Derived>(D, M,el,el_len);
case tinyply::Type::FLOAT32 :
return _tinyply_tristrips_to_trifaces<float,Derived>(D, M,el,el_len);
case tinyply::Type::FLOAT64 :
return _tinyply_tristrips_to_trifaces<double,Derived>(D, M,el,el_len);
default:
return false;
}
}
template <
typename DerivedV,
typename DerivedF,
typename DerivedE,
typename DerivedN,
typename DerivedUV,
typename DerivedVD,
typename DerivedFD,
typename DerivedED
>
IGL_INLINE bool readPLY(
FILE *fp,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F,
Eigen::PlainObjectBase<DerivedE> & E,
Eigen::PlainObjectBase<DerivedN> & N,
Eigen::PlainObjectBase<DerivedUV> & UV,
Eigen::PlainObjectBase<DerivedVD> & VD,
std::vector<std::string> & Vheader,
Eigen::PlainObjectBase<DerivedFD> & FD,
std::vector<std::string> & Fheader,
Eigen::PlainObjectBase<DerivedED> & ED,
std::vector<std::string> & Eheader,
std::vector<std::string> & comments
)
{
// buffer the whole file in memory
// then read from memory buffer
try
{
std::vector<std::uint8_t> fileBufferBytes;
// read_file_binary will call fclose
read_file_binary(fp,fileBufferBytes);
FileMemoryStream stream((char*)fileBufferBytes.data(), fileBufferBytes.size());
return readPLY(stream,V,F,E,N,UV,VD,Vheader,FD,Fheader,ED,Eheader,comments);
}
catch(const std::exception& e)
{
std::cerr << "ReadPLY error: " << e.what() << std::endl;
}
fclose(fp);
return false;
}
template <
typename DerivedV,
typename DerivedF
>
IGL_INLINE bool readPLY(
FILE *fp,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F
)
{
Eigen::MatrixXd N,UV,VD,FD,ED;
Eigen::MatrixXi E;
std::vector<std::string> Vheader,Eheader,Fheader,comments;
return readPLY(fp,V,F,E,N,UV,VD,Vheader,FD,Fheader,ED,Eheader,comments);
}
template <
typename DerivedV,
typename DerivedF,
typename DerivedE
>
IGL_INLINE bool readPLY(
FILE *fp,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F,
Eigen::PlainObjectBase<DerivedE> & E
)
{
Eigen::MatrixXd N,UV,VD,FD,ED;
std::vector<std::string> Vheader,Eheader,Fheader,comments;
return readPLY(fp,V,F,E,N,UV,VD,Vheader,FD,Fheader,ED,Eheader,comments);
}
template <
typename DerivedV,
typename DerivedF,
typename DerivedE,
typename DerivedN,
typename DerivedUV,
typename DerivedVD,
typename DerivedFD,
typename DerivedED
>
IGL_INLINE bool readPLY(
std::istream & ply_stream,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F,
Eigen::PlainObjectBase<DerivedE> & E,
Eigen::PlainObjectBase<DerivedN> & N,
Eigen::PlainObjectBase<DerivedUV> & UV,
Eigen::PlainObjectBase<DerivedVD> & VD,
std::vector<std::string> & Vheader,
Eigen::PlainObjectBase<DerivedFD> & FD,
std::vector<std::string> & Fheader,
Eigen::PlainObjectBase<DerivedED> & ED,
std::vector<std::string> & Eheader,
std::vector<std::string> & comments
)
{
tinyply::PlyFile file;
file.parse_header(ply_stream);
std::set<std::string> vertex_std{ "x","y","z", "nx","ny","nz", "u","v", "texture_u", "texture_v", "s", "t"};
std::set<std::string> face_std { "vertex_index", "vertex_indices"};
std::set<std::string> edge_std { "vertex1", "vertex2"}; //non-standard edge indexes
// Tinyply treats parsed data as untyped byte buffers.
std::shared_ptr<tinyply::PlyData> vertices, normals, faces, texcoords, edges;
// Some ply files contain tristrips instead of faces
std::shared_ptr<tinyply::PlyData> tristrips;
std::shared_ptr<tinyply::PlyData> _vertex_data;
std::vector<std::string> _vertex_header;
std::shared_ptr<tinyply::PlyData> _face_data;
std::vector<std::string> _face_header;
std::shared_ptr<tinyply::PlyData> _edge_data;
std::vector<std::string> _edge_header;
for (auto c : file.get_comments())
comments.push_back(c);
for (auto e : file.get_elements())
{
if(e.name == "vertex" ) // found a vertex
{
for (auto p : e.properties)
{
if(vertex_std.find(p.name) == vertex_std.end())
{
_vertex_header.push_back(p.name);
}
}
}
else if(e.name == "face" ) // found face
{
for (auto p : e.properties)
{
if(face_std.find(p.name) == face_std.end())
{
_face_header.push_back(p.name);
}
}
}
else if(e.name == "edge" ) // found edge
{
for (auto p : e.properties)
{
if(edge_std.find(p.name) == edge_std.end())
{
_edge_header.push_back(p.name);
}
}
}
// skip the unknown entries
}
// The header information can be used to programmatically extract properties on elements
// known to exist in the header prior to reading the data. For brevity of this sample, properties
// like vertex position are hard-coded:
try {
vertices = file.request_properties_from_element("vertex", { "x", "y", "z" });
}
catch (const std::exception & ) { }
try {
normals = file.request_properties_from_element("vertex", { "nx", "ny", "nz" });
}
catch (const std::exception & ) { }
//Try texture coordinates with several names
try {
//texture_u texture_v are the names used by meshlab to store textures
texcoords = file.request_properties_from_element("vertex", { "texture_u", "texture_v" });
}
catch (const std::exception & ) { }
if (!texcoords)
{
try {
//u v are the naive names
texcoords = file.request_properties_from_element("vertex", { "u", "v" });
}
catch (const std::exception & ) { }
}
if (!texcoords)
{
try {
//s t were the names used by blender and the previous libigl PLY reader.
texcoords = file.request_properties_from_element("vertex", { "s", "t" });
}
catch (const std::exception & ) { }
}
// Providing a list size hint (the last argument) is a 2x performance improvement. If you have
// arbitrary ply files, it is best to leave this 0.
try {
faces = file.request_properties_from_element( "face", { "vertex_indices" }, 0);
}
catch (const std::exception & ) { }
if (!faces)
{
try {
// alternative name of the elements
faces = file.request_properties_from_element( "face", { "vertex_index" },0);
}
catch (const std::exception & ) { }
}
if (!faces)
{
try {
// try using tristrips
tristrips = file.request_properties_from_element( "tristrips", { "vertex_indices" }, 0);
}
catch (const std::exception & ) { }
if (!tristrips)
{
try {
// alternative name of the elements
tristrips = file.request_properties_from_element( "tristrips", { "vertex_index" }, 0);
}
catch (const std::exception & ) { }
}
}
try {
edges = file.request_properties_from_element("edge", { "vertex1", "vertex2" });
}
catch (const std::exception & ) { }
if(! _vertex_header.empty())
_vertex_data = file.request_properties_from_element( "vertex", _vertex_header);
if(! _face_header.empty())
_face_data = file.request_properties_from_element( "face", _face_header);
if(! _edge_header.empty())
_edge_data = file.request_properties_from_element( "edge", _edge_header);
// Parse the geometry data
file.read(ply_stream);
if (!vertices || !tinyply_buffer_to_matrix(*vertices,V,vertices->count,3) ) {
// Don't do this because V might have non-trivial compile-time size V.resize(0,0);
}
if (!normals || !tinyply_buffer_to_matrix(*normals,N,normals->count,3) ) {
// Don't do this (see above) N.resize(0,0);
}
if (!texcoords || !tinyply_buffer_to_matrix(*texcoords,UV,texcoords->count,2) ) {
// Don't do this (see above) UV.resize(0,0);
}
//HACK: Unfortunately, tinyply doesn't store list size as a separate variable
if (!faces || !tinyply_buffer_to_matrix(*faces, F, faces->count, faces->count==0?0:faces->buffer.size_bytes()/(tinyply::PropertyTable[faces->t].stride*faces->count) )) {
if(tristrips) { // need to convert to faces
// code based on blender importer for ply
// converting triangle strips into triangles
// tinyply supports tristrips of the same length only
size_t el_count = tristrips->buffer.size_bytes()/(tinyply::PropertyTable[tristrips->t].stride*tristrips->count);
// all strips should have tristrips->count elements
if(!tinyply_tristrips_to_faces(*tristrips, F , tristrips->count, el_count))
{
// Don't do this (see above) F.resize(0,0);
}
} else {
// Don't do this (see above) F.resize(0,0);
}
}
if(!edges || !tinyply_buffer_to_matrix(*edges,E, edges->count,2)) {
// Don't do this (see above) E.resize(0,0);
}
/// convert vertex data:
Vheader=_vertex_header;
if(_vertex_header.empty())
{
// Don't do this (see above) VD.resize(0,0);
}
else
{
VD.resize(vertices->count,_vertex_header.size());
tinyply_buffer_to_matrix(*_vertex_data, VD, vertices->count, _vertex_header.size());
}
/// convert face data:
Fheader=_face_header;
if(_face_header.empty())
{
// Don't do this (see above) FD.resize(0,0);
}
else
{
FD.resize(faces->count, _face_header.size());
tinyply_buffer_to_matrix(*_face_data, FD, faces->count, _face_header.size());
}
/// convert edge data:
Eheader=_edge_header;
if(_edge_header.empty())
{
// Don't do this (see above) ED.resize(0,0);
}
else
{
ED.resize(_edge_data->count, _edge_header.size());
tinyply_buffer_to_matrix(*_edge_data, ED, _edge_data->count, _edge_header.size());
}
return true;
}
template <
typename DerivedV,
typename DerivedF,
typename DerivedE,
typename DerivedN,
typename DerivedUV,
typename DerivedVD,
typename DerivedFD,
typename DerivedED
>
IGL_INLINE bool readPLY(
const std::string& ply_file,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F,
Eigen::PlainObjectBase<DerivedE> & E,
Eigen::PlainObjectBase<DerivedN> & N,
Eigen::PlainObjectBase<DerivedUV> & UV,
Eigen::PlainObjectBase<DerivedVD> & VD,
std::vector<std::string> & VDheader,
Eigen::PlainObjectBase<DerivedFD> & FD,
std::vector<std::string> & FDheader,
Eigen::PlainObjectBase<DerivedED> & ED,
std::vector<std::string> & EDheader,
std::vector<std::string> & comments
)
{
std::ifstream ply_stream(ply_file, std::ios::binary);
if (ply_stream.fail())
{
std::cerr << "ReadPLY: Error opening file " << ply_file << std::endl;
return false;
}
try
{
return readPLY(ply_stream, V, F, E, N, UV, VD, VDheader, FD,FDheader, ED, EDheader, comments );
} catch (const std::exception& e) {
std::cerr << "ReadPLY error: " << ply_file << e.what() << std::endl;
}
return false;
}
template <
typename DerivedV,
typename DerivedF,
typename DerivedE,
typename DerivedN,
typename DerivedUV,
typename DerivedD
>
IGL_INLINE bool readPLY(
const std::string & filename,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F,
Eigen::PlainObjectBase<DerivedE> & E,
Eigen::PlainObjectBase<DerivedN> & N,
Eigen::PlainObjectBase<DerivedUV> & UV,
Eigen::PlainObjectBase<DerivedD> & VD,
std::vector<std::string> & Vheader
)
{
Eigen::MatrixXd FD,ED;
std::vector<std::string> Fheader,Eheader;
std::vector<std::string> comments;
return readPLY(filename,V,F,E,N,UV,VD,Vheader,FD,Fheader,ED,Eheader,comments);
}
template <
typename DerivedV,
typename DerivedF,
typename DerivedE,
typename DerivedN,
typename DerivedUV
>
IGL_INLINE bool readPLY(
const std::string & filename,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F,
Eigen::PlainObjectBase<DerivedE> & E,
Eigen::PlainObjectBase<DerivedN> & N,
Eigen::PlainObjectBase<DerivedUV> & UV
)
{
Eigen::MatrixXd VD,FD,ED;
std::vector<std::string> Vheader,Fheader,Eheader;
std::vector<std::string> comments;
return readPLY(filename,V,F,E, N,UV,VD,Vheader,FD,Fheader,ED,Eheader,comments);
}
template <
typename DerivedV,
typename DerivedF,
typename DerivedN,
typename DerivedUV
>
IGL_INLINE bool readPLY(
const std::string & filename,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F,
Eigen::PlainObjectBase<DerivedN> & N,
Eigen::PlainObjectBase<DerivedUV> & UV
)
{
Eigen::MatrixXd VD,FD,ED;
Eigen::MatrixXi E;
std::vector<std::string> Vheader,Fheader,Eheader;
std::vector<std::string> comments;
return readPLY(filename,V,F,E, N,UV,VD,Vheader,FD,Fheader,ED,Eheader,comments);
}
template <
typename DerivedV,
typename DerivedF
>
IGL_INLINE bool readPLY(
const std::string & filename,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F
)
{
Eigen::MatrixXd N,UV;
Eigen::MatrixXd VD,FD,ED;
Eigen::MatrixXi E;
std::vector<std::string> Vheader,Fheader,Eheader;
std::vector<std::string> comments;
return readPLY(filename,V,F,E,N,UV,VD,Vheader,FD,Fheader,ED,Eheader,comments);
}
template <
typename DerivedV,
typename DerivedF,
typename DerivedE
>
IGL_INLINE bool readPLY(
const std::string & filename,
Eigen::PlainObjectBase<DerivedV> & V,
Eigen::PlainObjectBase<DerivedF> & F,
Eigen::PlainObjectBase<DerivedE> & E
)
{
Eigen::MatrixXd N,UV;
Eigen::MatrixXd VD,FD,ED;
std::vector<std::string> Vheader,Fheader,Eheader;
std::vector<std::string> comments;
return readPLY(filename,V,F,E,N,UV,VD,Vheader,FD,Fheader,ED,Eheader,comments);
}
} //igl namespace
#ifdef IGL_STATIC_LIBRARY
// Explicit template instantiation
// generated by autoexplicit.sh
template bool igl::readPLY<Eigen::Matrix<double, -1, 3, 1, -1, 3>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 1, -1, 3> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
template bool igl::readPLY<Eigen::Matrix<float, -1, 3, 1, -1, 3>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 3, 1, -1, 3> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
template bool igl::readPLY<Eigen::Matrix<double, -1, 3, 0, -1, 3>, Eigen::Matrix<int, -1, 3, 0, -1, 3> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, -1, 3> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 3, 0, -1, 3> >&);
template bool igl::readPLY<Eigen::Matrix<double, -1, 3, 1, -1, 3>, Eigen::Matrix<int, -1, 3, 1, -1, 3> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 1, -1, 3> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 3, 1, -1, 3> >&);
template bool igl::readPLY<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
template bool igl::readPLY<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
template bool igl::readPLY<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
template bool igl::readPLY<Eigen::Matrix<float, -1, 3, 0, -1, 3>, Eigen::Matrix<int, -1, 3, 0, -1, 3> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 3, 0, -1, 3> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 3, 0, -1, 3> >&);
template bool igl::readPLY<Eigen::Matrix<float, -1, 3, 1, -1, 3>, Eigen::Matrix<unsigned int, -1, 3, 1, -1, 3> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 3, 1, -1, 3> >&, Eigen::PlainObjectBase<Eigen::Matrix<unsigned int, -1, 3, 1, -1, 3> >&);
template bool igl::readPLY<Eigen::Matrix<float, -1, 3, 1, -1, 3>, Eigen::Matrix<int, -1, 3, 1, -1, 3> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 3, 1, -1, 3> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 3, 1, -1, 3> >&);
template bool igl::readPLY<Eigen::Matrix<float, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1> >(FILE*, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
template bool igl::readPLY<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1> >(std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&, std::vector<std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&, std::vector<std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&, std::vector<std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, std::vector<std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&);
template bool igl::readPLY<Eigen::Matrix<float, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::Matrix<float, -1, -1, 0, -1, -1>, Eigen::Matrix<float, -1, -1, 0, -1, -1>, Eigen::Matrix<float, -1, -1, 0, -1, -1>, Eigen::Matrix<float, -1, -1, 0, -1, -1>, Eigen::Matrix<float, -1, -1, 0, -1, -1> >(std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> >&, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> >&, std::vector<std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> >&, std::vector<std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> >&, std::vector<std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, std::vector<std::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&);
#endif