Simple inference demo?

[Parskatt]

Hi again,

I'm wondering if you could provide a simple inference demo on a single point cloud pair.
Right now it seems like I have to use the functions defined in the dataset dataloaders to convert the pointclouds to the input format of the network. Could this perhaps be included as a method in the network itself?
I think this would greatly simplify using BUFFER for downstream tasks.

[Parskatt]

For example, you could have an API like

buffer.register(pc_1, pc_2)

where $pc_1 \in \mathbb{R}^{N \times 3}$, $pc_2 \in \mathbb{R}^{M \times 3}$.

[klein0809]

For example, you could have an API like

buffer.register(pc_1, pc_2)

where pc1∈RN×3, pc2∈RM×3.

hello, have you solved this problem?

[Parskatt]

Hi, no I did not.