Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Train sequential descriptors through SeqNet on the MSLS dataset #12

Closed
fufj opened this issue Oct 1, 2022 · 2 comments
Closed

Train sequential descriptors through SeqNet on the MSLS dataset #12

fufj opened this issue Oct 1, 2022 · 2 comments

Comments

@fufj
Copy link

fufj commented Oct 1, 2022

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
Copy link
Owner

oravus commented Oct 3, 2022

Hi @fufj, thanks for your interest.

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

@fufj
Copy link
Author

fufj commented Oct 3, 2022

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

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants