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Pytorch version training #35
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Hi @surajiitd Thanks for using our code! loop_gt_seq00_0.3overlap_inactive.npz contains N lists for N laser scans of sequence 00. In each list n, there are indices of laser scans that have overlap > 0.3 with respect to the n th laser scan (exclude near 100 scans). As to the calculation of overlap, you can refer to OverlapNet Demo4. BTW, you can find our newer works OverlapTransformer and SeqOT to implement faster retrieval. We have released the code to generate distance-based loop git files for NCLT dataset here. The data structures are quite similar. The only difference is that each list in git files for NCLT contains the loop indices in database. |
@BIT-MJY Thank you so much for your instant reply! |
We have uploaded our newest version of this related script to generate ground truth files in the OT repo. You can find it here. Please pull our new code, modify the paths in this file (
Note that the poses file is from semantic kitti, which is refined by SLAM. |
Hi @BIT-MJY
In OverlapTransformer you have used semanticKitti poses, but in OverlapNet you have just used kitti poses right? |
I suppose so, but we recommend using semanticKitti poses in your work which are more accurate. |
Thank you so much @BIT-MJY |
您好,我正在学习您的OverlapTransformer这篇论文,您在论文中给出的新数据集Haomo数据集似乎仅仅给出了激光序列和位姿文件而没有提供训练OT所需要的训练集,如果我想要得到训练集应该怎么做呢。 |
LY0406, would be nice to write in english so that everybody (include me) could read it ! |
Thank you for sharing your pytorch code. @Chen-Xieyuanli @laebe
In your recommended Data Structure how to generate
loop_gt_seq00_0.3overlap_inactive.npz
file for training?I have used the tensorflow branch to generate the preprocessed data, but no such file is generated.
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