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

Regarding the issue with the file '7scenes_ densevlad_detrieval_top_10' #5

Open
GottenZZP opened this issue Aug 19, 2024 · 2 comments

Comments

@GottenZZP
Copy link

Hello, thank you very much for open-sourcing this excellent project. I have a question: how can I apply it to my own dataset? I noticed that when evaluating the 7scenes dataset, it is necessary to download a file named "7scenes_densevlad_retrieval_top_10" from your Google Drive, which contains the top 10 retrieved reference images for each query image. If I want to apply this to my own dataset, do I need to manually select the 10 reference images corresponding to each query image every time?
image

@TruongKhang
Copy link
Owner

Hi @GottenZZP, the reference images are selected based on global feature extraction networka such as NetVLad, and CosPlace. You can refer to HLoc pipeline to see how to use these models. We don't manually select top-k reference images for each query image.

@GottenZZP
Copy link
Author

Sure! Thank you for your response. However, I have encountered a new issue now. When I was pretraining your model, I downloaded the 199GB Megadepth dataset as you mentioned. The downloaded dataset structure matches the one described in your README file (as shown in Figure 1). But during training, it threw an error saying it couldn't find the image file at this path: "data/megadepth/Undistorted_SfM/0034/images/17498130_ef46860f8c_o.jpg" (as shown in Figure 2). Could you please let me know where I can download this Undistorted_SfM folder?
figure1:
image
figure2:
image

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