ns-train ImportError on custom data

[casychow]

I am using the ns-train command on custom data & edited nerf algorithm. But I keep getting an "ImportError".

Steps to reproduce the behavior:

1. Created a new conda environment. The new environment is different than another conda environment that has been working perfectly with nerfstudio.
2. Copied existing nerf algorithm and tweaked it a bit in a new .py file located in the models folder
3. Added custom nerf algorithm name in method_configs to call it using the command line
4. Used command ns-train custom_name --data ./Video_apt/ --viewer.websocket-port 7008 (used same command on original conda environment)

It is supposed to run a copy of nerfacto. I tried using nerfacto and the edited nerfacto but they keep raising the same "ImportError" error about "cannot import name 'VanillaDataManagerConfig' from 'nerfstudio.data.datamanagers'" in this conda environment. But when I run nerfacto in the original conda environment, it works.

I have tried changing different variables in the method_configs file to see if any new code is messing up the project. I have also tried digging deep into the ns-train, train, base_datamanagers, and method_configs file to locate the problem, to no avail.

[akristoffersen]

instead of using ns-train, could you try using python scripts/train.py?

[tancik]

Can you try the latest github main version. It has some fixes regarding circular imports that may fix this issue.

[casychow]

Thanks, sorry for the late replies but neither option worked unfortunately.

[casychow]

Adding my partner @SanakovDiar who can test the data to this issue thread.

[tancik]

Hi, any updates?

[casychow]

Hi, any updates?

Hello, yes - unfortunately neither option worked. The error message remained the same.

[tancik]

Can you try pulling the latest github version and then post the error you are seeing.

[tancik]

Closing due to inactivity. Feel free to reopen if it is still and issue.