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The-Learning-And-Vision-Atelier-LAVA / BUFFER

[CVPR 2023] BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
MIT License
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Simple inference demo? #5

Open Parskatt opened 1 year ago

Parskatt commented 1 year ago

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 commented 1 year ago

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 commented 11 months ago

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 commented 11 months ago

Hi, no I did not.