In laplace_matrix function, Eigen SparseMatrix setFromTriplets gives "double free or corruption (out)" Error. about pmp-library HOT 5 OPEN

Could you please provide the mesh on which the adaptive remeshing fails?

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Could you please provide the mesh on which the adaptive remeshing fails?

Here is the poly (*.ply) file on which the adaptive remeshing fails. I have changed its extension from *.ply to *.txt.
cube_outInt.txt

As you can see, it is a simple mesh. I use the above mesh for test purpose.

I create the pmp::SurfaceMesh object using the following snippet.

// copy surface mesh to pmp mesh
pmp::SurfaceMesh m;
vector<pmp::Vertex> vs;
for (auto& p : pts)
	vs.emplace_back(m.add_vertex(pmp::Point(p.x,p.y,p.z)));
	
for (auto& t : tri) {
	int v0 = t[0], v1 = t[1], v2 = t[2];
	m.add_triangle(vs[v0],vs[v1],vs[v2]);
}

Here, tri is a vector<vector> object while pts is a vector object, which contain the face information and the vertex information respectively.
Is the above code sufficient to correctly create SurfaceMesh object?

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I'm sorry but I cannot reproduce the problem. Does the problem also occur when you use this mesh in the remeshing example app?

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Can't reproduce this either, calling adaptive_remeshing with above parameters on the provided example mesh works fine.

Smells like a memory issue somewhere else in your program. Do you get the same error when compiling in Debug mode?

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