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yifanlu0227 avatar yifanlu0227 commented on July 24, 2024

Other method like nerfacto can work well with my dataset with --auto-scale-poses False.

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maturk avatar maturk commented on July 24, 2024

@yifanlu0227 can you try colmap --auto-scale-poses False instead of just --auto-scale-poses False

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yifanlu0227 avatar yifanlu0227 commented on July 24, 2024

@maturk Hi! I think I have put colmap before --auto-scale-poses False. How should I modify my command? Thanks!

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dlazares avatar dlazares commented on July 24, 2024

@maturk I got this same error RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn on a fresh install. the dozer dataset works fine on nerfacto but throws this error on splatfacto

commands to repro on my machine:

  1. install from source based on readme
  2. ns-download-data nerfstudio --capture-name=dozer
  3. ns-train splatfacto --data data/nerfstudio/dozer/
    During the train run I got a warning message load_3D_points is true, but the dataset was processed with an outdated ns-process-data that didn't convert colmap points to .ply! Update the colmap dataset automatically?. which I clicked yes.

it works for library dataset which also has the warning so not sure what the root cause is.

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jb-ye avatar jb-ye commented on July 24, 2024

I think there are two issues that need to be addressed:
(1) the error message RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn isn't very helpful in terms of describe why it crashes. It often happens when pose is catastrophically wrong, or pose and initial point clouds are in different coordinates.

(2) The reason that --auto-scale-poses False doesn't work may reveal a bug on transforming point clouds.

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