CODEWITHSUNDEEP
pythonmeshscikit-imagemarching-cubes
KRS-fun
KRS-fun

Reputation: 724

Scikit Image Marching Cubes

I'm using the Scikit Image implementation of the marching cubes algorithm to generate an isosurface. 

verts, faces,normals,values = measure.marching_cubes(stack,0)

generates the following error:

ValueError: need more than 2 values to unpack

but 

 verts, faces = measure.marching_cubes(stack,0)

works fine so it seems the algorithm is simply not generating the values for normals and values. Has anyone had any experience with this type of issue?

Furthermore, I don't understand the need for the faces output of the algorithm, as a set of 3 vertices for each triangle in the mesh should be sufficient to describe the isosurface?

Upvotes: 4

Views: 10021

Answers (2)

RahulVerma
RahulVerma

Reputation: 61

from Version 0.14 marching_cubes() has-been removed

skimage.measure.marching_cubes has been removed in favor of skimage.measure.marching_cubes_lewiner

so make sure which version you are using.

Upvotes: 3

Luka
Luka

Reputation: 177

The docs of marching_cubes on the development version of scikit-image show that it should return normals and values as well. However it has only been introduced recently. They were not returned in version 0.12, as can be seen in the docs from that version. To get them you'd have to update to the current development version. A guide on how to install the development version can be found here.

Upvotes: 6

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