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

concatenation #92

Open
arminak6 opened this issue Apr 25, 2024 · 0 comments
Open

concatenation #92

arminak6 opened this issue Apr 25, 2024 · 0 comments

Comments

@arminak6
Copy link

arminak6 commented Apr 25, 2024

Hi, congrats on the fantastic work! These results are amazing.
To address the issue of RAM usage with large datasets, is there a technique available to concatenate two outputs in case of overlap?
something like this:

`
output1 = inference(pairs1, model, device, batch_size=batch_size)
scene1 = global_aligner(output1, device=device, mode=GlobalAlignerMode.PointCloudOptimizer)

output2 = inference(pairs2, model, device, batch_size=batch_size)
scene2 = global_aligner(output2, device=device, mode=GlobalAlignerMode.PointCloudOptimizer)
`

Then concatenate scene1 and scene2 together?

Thanks again for the wonderful work!

@arminak6 arminak6 reopened this Apr 30, 2024
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

1 participant