pamphlett / segregator Goto Github PK
View Code? Open in Web Editor NEW[ICRA 2023] Segregator: Global Point Cloud Registration with Semantic and Geometric Cues
License: Apache License 2.0
[ICRA 2023] Segregator: Global Point Cloud Registration with Semantic and Geometric Cues
License: Apache License 2.0
Hello, thanks for your great work!
How can I reproduce the KITTI benchmark to follow your work?
Could you provide preprocessed dataset of KITTI?
Yo bro, I saw the updated README.md; LGTM!
Btw, I'm writing this issue to ask you how to set the parameters when I run your Segregator on the MulRan dataset.
In fact, I'm curious about the generalization capability of Segregator, so I extracted .label
files and tested your algorithm on the MulRan dataset; unfortunately, it just breaks down.
Could you test it if I give you labels and corresponding bin files?
Hello, I'm the author of Quatro and I really like your paper! Haha
I'm writing this issue to ask you how to get .label
file efficiently.
I followed your instruction, and noticed Salsanext already has saving pipeline; unfortunately, Salsanext does not guarantee the number of labels, so mostly # of labels != # points.
Could you please provide me with your label files? Thank you in advance!
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