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

Saving a Model Snapshot #5

Open
mateuszwyszynski opened this issue May 30, 2023 · 3 comments
Open

Saving a Model Snapshot #5

mateuszwyszynski opened this issue May 30, 2023 · 3 comments

Comments

@mateuszwyszynski
Copy link

Hi, I would like to save a snapshot of a model trained with ParticleNeRF. I tried to use testbed.save_snapshot method. However, if I save a model like this and then reload it into the instant-ngp app with --load_snapshot I see only a ghost-like shape of an object

  • example for the wheel dataset (the ghost-like shape is barely visible):

Screenshot from 2023-05-30 20-31-45

From what I have checked it does not matter if the scene is dynamic or not - I get similar behaviour on the fox dataset.

If I restart the training from this ghost-like state the model usually converges more quickly, so clearly some information is saved.

Is there a way to save a ParticleNeRF model in such a way that one has a fully ready visualisation after reloading a snapshot - without the need to restart the training?

@jc211
Copy link
Owner

jc211 commented May 30, 2023

Unfortunately, the save snapshot was not implemented - mainly because it was not needed for the original paper. The network however is being saved which explains the ghosting.

@mateuszwyszynski
Copy link
Author

mateuszwyszynski commented Jun 14, 2023

@jc211 are you planning to implement this in the future?

If not, could you point me on how one could go about implementing this?

@jc211
Copy link
Owner

jc211 commented Jul 4, 2023

I don't have any plans to at the moment. I can help guide the process if you want to have a go.

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