Rana Hanocka

Hi @chesc100 , It currently does not have the 3D version (it is disorganized and I need to find some time to clean it up). Realistically, it will probably take...

Hi @christinezuzart , Note the argument `ninput_edges: 750` does not agree with faces = 2000 (which corresponds to 3000 edges). You need to set `--ninput_edges 3000 ` You should also...

Hi @abdullahkhan-z , We used a dataset (human seg) which has per-face segmentation labels at a high resolution. To make learning easier, we simplified the meshes to a lower resolution....

Hi @nitish11 , There is no fully automatic tool for segmenting shapes, if there was - you probably wouldn't need to use MeshCNN -> could just use that tool instead...

Did you try going through the segmentation example from the README?

Hi @kumarabhinav04 , Did you run the viewer scripts? For example, you can read an explanation in [this issue](https://github.com/ranahanocka/MeshCNN/issues/11#issuecomment-519249484). If you wanted to only view only segment, you could modify...

Hi @SorteKanin , Thanks for letting me know. So first of all, may I ask, are you trying to learn classification or segmentation? So currently the default configuration collapses the...

Hi @SaraCasti , Thanks for letting me know. It seems a bit odd to me to have a network which works on 10k and 300 faces, but I didn't try...

Hi @sana-aroua , Thanks for letting me know. In general, ShapeNet is not manifold. This assertion is failing because of a non-manifold geometry. You can open your model in meshlab,...

I see, thanks for the screenshot. [Maybe the issue is a very small connected component. How did you make this model manifold? Is it with this [code](https://github.com/hjwdzh/Manifold)? If so, when...