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View Code? Open in Web Editor NEW[ICCV 23] Density-invariant Features for Distant Point Cloud Registration
License: MIT License
[ICCV 23] Density-invariant Features for Distant Point Cloud Registration
License: MIT License
Could you please provide a detailed description of how to use the KITTI dataset? Why are the labels and dataset both under the sequence folder after I unzip it?
Hi @liuQuan98 ,
Thank you very much for your interesting work and your detailed code.
I was trying to reproduce the results shown in the paper on kitti (table 1 and table 3), using your weights and the supplied test script.
I am not sure which flag I should use to reproduce the Registration Recall of <1.5 <60.
I saw that when using --lokitti false
the test size is 225 (with maximal gap between frame of ~35m).
When --lokitti true
we have ~550 problems.
Should I use --useRansac false
as well?
Can you guide me how to reproduce paper results?
Thanks
Yuval
as above
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