Hi,
As far as I understand, this function: https://libigl.github.io/libigl-python-bindings/igl_docs/#average_onto_vertices would be performing a matrix (incidence with voronoi weight?) vector multiplication. I don't understand why it's restricted to 3-dim input? It's not very clear from the doc, but when I would try a 4-dim input, I get the error, ValueError: Parameter s has invalid shape, expected s.shape = [13776, 3] but got s.shape = [13776, 4]
Shouldn't it accept any k-dim vector?
Thank you!
Hi,
As far as I understand, this function: https://libigl.github.io/libigl-python-bindings/igl_docs/#average_onto_vertices would be performing a matrix (incidence with voronoi weight?) vector multiplication. I don't understand why it's restricted to 3-dim input? It's not very clear from the doc, but when I would try a 4-dim input, I get the error,
ValueError: Parameter s has invalid shape, expected s.shape = [13776, 3] but got s.shape = [13776, 4]Shouldn't it accept any k-dim vector?
Thank you!