3d-deep-learning

Hi,

In kaolin/kaolin/metrics/pointcloud.py it says that the sided_distance() method computes

For every point in p1 find the indices and euclidean distances of the closest point in p2.

However, it seems like the underlying _C.metrics.sided_distance_forward_cuda returns the squared euclidean distance. Can you please clarify this?

Thank you

In las file format, vlrs info is crucial to correctly describe point's spatial location.
However, if you try to use pyntcloud.las_header.vlrs, you wouldn't get anything, the value is alway none.

Through your source code, I can see you try to use
data["las_header"] = las.header
But it can not pass vlrs or evlrs info into new object, because in laspy, vlrs info is dynamically obtained afterw