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differentiable-rendering

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benemer
benemer commented Jun 18, 2021

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

documentation good first issue question

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