search

oravus / seqNet

SeqNet: Code for the RA-L (ICRA) 2021 paper "SeqNet: Learning Descriptors for Sequence-Based Hierarchical Place Recognition"
93 stars 12 forks source link

Train sequential descriptors through SeqNet on the MSLS dataset #12

Closed fufj closed 1 year ago

fufj commented 1 year ago

Hi! Thanks for your great work on SeqNet. And I met a problem when I trained the sequential descriptors on the MSLS dataset. I just run the command: python main.py --mode train --pooling seqnet --dataset msls --msls_trainCity melbourne --msls_valCity austin --seqL 5 --w 3 --outDims 4096 --expName "msls_w3". But ther is a problem: No such file or directory: './data/descData/netvlad-pytorch/msls_melbourne_databast.npy'. Maybe I did not find any corresponding ***.npy files about the MSLS dataset. Would you mind providing the corresponging download link of the MSLS dataset.? Kind regards!

oravus commented 1 year ago

Hi @fufj, thanks for your interest.

You will need to extract single image descriptors first, instructions for which can be found here.

fufj commented 1 year ago

Thanks for your prompt reply. I will try it again.