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Which methods can be used to extract a feature vector from a point cloud?

See original GitHub issue

I have a set of n m-dimensional points contained in a pointcloud P , where P.shape == (n, m) and n can vary. I want to map P to a feature vector v, like the global feature vector in the PointNet paper, where v.shape == (1024,). Is there a straightforward way to recreate the original PointNet with this library? And, are there any other comparable models that are easily recreatable?

Cheers!

Issue Analytics

State:
Created 3 years ago
Comments:5 (3 by maintainers)

Top GitHub Comments

1reaction

tchatoncommented, Aug 5, 2020

@cisprague Have a look at https://github.com/nicolas-chaulet/torch-points3d

0reactions

cispraguecommented, Aug 5, 2020

Perfect! Thanks again. Lastly, can you comment on the speed of executing those PointNet++ and PointCNN implementations? My application is a bit time-sensitive.

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