The numpy module can be used to find the required distance when the coordinates are in the form of an array. It has thenorm()function, which can return the vector norm of an array. It can help in calculating the Euclidean Distance between two coordinates, as shown below. ...
(2,1)]# Input = One scalar plus two vectorsRs_out=[(1,1)]# Output = One single vector# Radial model: R+ -> R^dRadialModel=partial(GaussianRadialModel,max_radius=3.0,number_of_basis=3,h=100,L=1,act=swish)# kernel: composed on a radial part that contains the learned parameters#...
Voxelization: The point cloud tensor is expressed as C = ({Pc, Fc}), where Pc = (xi, yi, zi) defines the 3D coordinates of the point cloud and Fc represents the feature vector of the points [21]. The sparse tensor is described as S = ({Ps, Fs}, v), where Ps is the ratio...