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Comments (5)

alik-git avatar alik-git commented on May 31, 2024 1

Ah yes, thank you, the link you mentioned allowed me to fix my issue, and yes thank you for linking the sample data as well! Cheers!

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notmahi avatar notmahi commented on May 31, 2024

Hi, thanks for trying out CLIP-Fields!

I am using Ubuntu 20.04. The error looks like it is coming from trying to compile the grid_encoder, which is taken from the Torch NGP repo. I am not an expert in it, and I think you may get more help and knowledgable responses if you raise this issue there.

Edit: Googling the problem seems like there's a potential fix here, have you tried this already? pytorch/extension-cpp#71

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notmahi avatar notmahi commented on May 31, 2024

Also, I am sorry, but I did not see the second part of your question.

Additionally if I ignore this error and just try to run the demo notebook clip-fields/demo/1 - parse rgbd.ipynb I am stuck because I don't have an RGB-D video myself, or an iPhone 13. Would it be possible for you to supply a demo file, or a link to one? Thank you.

You can find some sample data hosted at OSF at the data link on the readme, right here.

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alik-git avatar alik-git commented on May 31, 2024

Hi there, another quick question. I keep getting out of memory errors when I try to run the demo notebooks.

Could you please give me an estimate of the kind of hardware necessary to run the demo scripts? What are you using? Mainly I would like to know how much RAM to create the dataset, and how much GPU memory to run inference.

Thank you.

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notmahi avatar notmahi commented on May 31, 2024

I would like to know how much RAM to create the dataset, and how much GPU memory to run inference.

I have run the code on machine with a 10 GB GPU memory (Nvidia 3080) and 64 GB RAM, but I have not run proper benchmarking so I cannot tell you if that is the minimum requirement for inference.

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