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https://github.com/FULU-Foundation/OrcaSlicer-bambulab.git
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2ae2672ee9
Fixing dep build script on Windows and removing some warnings. Use bundled igl by default. Not building with the dependency scripts if not explicitly stated. This way, it will stay in Fix the libigl patch to include C source files in header only mode.
117 lines
4.3 KiB
C++
117 lines
4.3 KiB
C++
// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2017 Oded Stein <oded.stein@columbia.edu>
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//
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// This Source Code Form is subject to the terms of the Mozilla Public License
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// v. 2.0. If a copy of the MPL was not distributed with this file, You can
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// obtain one at http://mozilla.org/MPL/2.0/.
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#include "isolines.h"
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#include <vector>
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#include <array>
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#include <iostream>
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#include "remove_duplicate_vertices.h"
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template <typename DerivedV,
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typename DerivedF,
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typename DerivedZ,
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typename DerivedIsoV,
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typename DerivedIsoE>
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IGL_INLINE void igl::isolines(
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const Eigen::MatrixBase<DerivedV>& V,
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const Eigen::MatrixBase<DerivedF>& F,
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const Eigen::MatrixBase<DerivedZ>& z,
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const int n,
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Eigen::PlainObjectBase<DerivedIsoV>& isoV,
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Eigen::PlainObjectBase<DerivedIsoE>& isoE)
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{
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//Constants
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const int dim = V.cols();
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assert(dim==2 || dim==3);
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const int nVerts = V.rows();
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assert(z.rows() == nVerts &&
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"There must be as many function entries as vertices");
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const int nFaces = F.rows();
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const int np1 = n+1;
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const double min = z.minCoeff(), max = z.maxCoeff();
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//Following http://www.alecjacobson.com/weblog/?p=2529
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typedef typename DerivedZ::Scalar Scalar;
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typedef Eigen::Matrix<Scalar, Eigen::Dynamic, 1> Vec;
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Vec iso(np1);
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for(int i=0; i<np1; ++i)
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iso(i) = Scalar(i)/Scalar(n)*(max-min) + min;
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typedef Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic> Matrix;
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std::array<Matrix,3> t{{Matrix(nFaces, np1),
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Matrix(nFaces, np1), Matrix(nFaces, np1)}};
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for(int i=0; i<nFaces; ++i) {
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for(int k=0; k<3; ++k) {
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const Scalar z1=z(F(i,k)), z2=z(F(i,(k+1)%3));
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for(int j=0; j<np1; ++j) {
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t[k](i,j) = (iso(j)-z1) / (z2-z1);
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if(t[k](i,j)<0 || t[k](i,j)>1)
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t[k](i,j) = std::numeric_limits<Scalar>::quiet_NaN();
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}
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}
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}
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std::array<std::vector<int>,3> Fij, Iij;
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for(int i=0; i<nFaces; ++i) {
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for(int j=0; j<np1; ++j) {
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for(int k=0; k<3; ++k) {
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const int kp1=(k+1)%3, kp2=(k+2)%3;
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if(std::isfinite(t[kp1](i,j)) && std::isfinite(t[kp2](i,j))) {
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Fij[k].push_back(i);
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Iij[k].push_back(j);
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}
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}
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}
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}
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const int K = Fij[0].size()+Fij[1].size()+Fij[2].size();
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isoV.resize(2*K, dim);
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int b = 0;
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for(int k=0; k<3; ++k) {
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const int kp1=(k+1)%3, kp2=(k+2)%3;
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for(int i=0; i<Fij[k].size(); ++i) {
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isoV.row(b+i) = (1.-t[kp1](Fij[k][i],Iij[k][i]))*
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V.row(F(Fij[k][i],kp1)) +
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t[kp1](Fij[k][i],Iij[k][i])*V.row(F(Fij[k][i],kp2));
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isoV.row(K+b+i) = (1.-t[kp2](Fij[k][i],Iij[k][i]))*
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V.row(F(Fij[k][i],kp2)) +
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t[kp2](Fij[k][i],Iij[k][i])*V.row(F(Fij[k][i],k));
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}
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b += Fij[k].size();
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}
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isoE.resize(K,2);
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for(int i=0; i<K; ++i)
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isoE.row(i) << i, K+i;
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//Remove double entries
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typedef typename DerivedIsoV::Scalar LScalar;
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typedef typename DerivedIsoE::Scalar LInt;
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typedef Eigen::Matrix<LInt, Eigen::Dynamic, 1> LIVec;
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typedef Eigen::Matrix<LScalar, Eigen::Dynamic, Eigen::Dynamic> LMat;
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typedef Eigen::Matrix<LInt, Eigen::Dynamic, Eigen::Dynamic> LIMat;
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LIVec dummy1, dummy2;
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igl::remove_duplicate_vertices(LMat(isoV), LIMat(isoE),
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2.2204e-15, isoV, dummy1, dummy2, isoE);
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}
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#ifdef IGL_STATIC_LIBRARY
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// Explicit template instantiation
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template void igl::isolines<Eigen::Matrix<double, -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<int, -1, -1, 0, -1, -1> >(Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const&, int const, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> > &, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > &);
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#endif
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