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View Code? Open in Web Editor NEWEgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
License: MIT License
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
License: MIT License
Hi, thanks for your nice work.
I read your paper and found that you remove uninformative ground plane points with z coordinate below −0.9 m for the MulRan dataset and −1.6 m for the Apollo dataset. May I know how to set the parameters for removing ground plane points when I use other 3D point cloud data?
Thanks in advance.
thank you for your graet work!
I want to insert this models(egonn) into another net,to extract local features,how to handle it? Or which .py file should I run? I only found an egonn.txt files in your code files' floder,which confusing me a lot,i really appericate your reply!
Thank you for your reading, greatest bless to you!
Hi,
Thank you for releasing your code and checkpoints. I was able to recreate the results in the paper. This is not an issue but I couldn't find your contact details so I thought of posting here.
I was wondering if you could also release the checkpoints of other methods (eg. MinkLoc3D, DiSCO and DH3D).
Kind regards,
Kavisha
Dear Jacek,
I'd like to export the EgoNN model in TorchScript format.
At the moment, I get an error when loading the entire model. However, when loading only the weights in torch.jit.script
, there is no problem. My impression is maybe TorchScript is not compatible with ME. If you have any insights on this issue, I appreciate it if you share them with me.
Thanks!
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