NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
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Error using octree with multiscale_type='cat' #71
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patmjen opened 2 years ago
First, thank you for the great library!
Using
OctreeGrid
withmultiscale_type='cat'
gave me an error when callinginterpolate
at L273 https://github.com/NVIDIAGameWorks/kaolin-wisp/blob/7ca5c6f684fbf32d473ed5a4b05430d1780de677/wisp/models/grids/octree_grid.py#L273The problem is that
self.feature_dim
is too small as the entries haveself.feature_dim * num_feats
dimensions.I changed the code as follows, which seemed to fix it.