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python nerfstudio/scripts/train.py neurad pandaset-data meets error #35
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Hi, when I am building the docker, I ran into
Can you please elaborate on how to solve this problem? Thank you. |
How are you building your docker? Did you clone this repo and then run @zjcs your trace looks like you are trying to run nerfstudio, not neurad-studio, as many of those methods are not in our method_config.py. |
It seems a long time after I met this issue. In my memory, it seems that you should update the setuptools to higher version. But I am not sure, this issue is due to the new python projection manangement, toml instead of setup.py. |
Thanks for your reply. I almost have forgot this issuse since other work. It seems that you are right, but I have no time to check it. |
I should mention that there seem to be some installation issues, as raised in #33. Investigating this currently. |
@zjcs @georghess Thank you very much for the help. I was new to docker and had no idea that running |
@Andyshen555 could you elaborate on what spans of versions you used? |
I specifically set:
Works with cu117 and cu118, both tested. |
-e option is no need, remove this option and try anain,I am not sure
…---- Replied Message ----
| From | ***@***.***> |
| Date | 07/02/2024 22:10 |
| To | georghess/neurad-studio ***@***.***> |
| Cc | zjcs ***@***.***>,
Mention ***@***.***> |
| Subject | Re: [georghess/neurad-studio] python nerfstudio/scripts/train.py neurad pandaset-data meets error (Issue #35) |
I specifically set:
"setuptools==69.5.1,"
...
"torch==2.0.1",
"torchvision==0.15.2",
"torchmetrics[image]==1.3.2"
Works with cu117 and cu118, both tested.
When using the original .toml, both my docker and my conda env had a problem that tried to install torchmetrics 1.4.0 but could not solve dependencies conflicts with torch.
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After some digging, I found that pinning |
thans for your great work.when i use the docker,and root@4133cb1494b4:/workspace# python nerfstudio/scripts/train.py neurad pandaset-data
╭─ Parsing error ──────────────────────────────────────────────────────────────╮
│ Argument │
│ {depth-nerfacto,dnerf,generfacto,instant-ngp,instant-ngp-bounded,mipnerf,ner │
│ facto,nerfacto-big,nerfacto-huge,neus,neus-facto,phototourism,semantic-nerfw │
│ ,splatfacto,splatfacto-big,tensorf,vanilla-nerf,BioNeRF,igs2gs,in2n,in2n-sma │
│ ll,in2n-tiny,kplanes,kplanes-dynamic,lerf,lerf-big,lerf-lite,nerfgs,nerfplay │
│ er-nerfacto,nerfplayer-ngp,nerfsh,pynerf,pynerf-occupancy-grid,pynerf-synthe │
│ tic,seathru-nerf,seathru-nerf-lite,signerf,signerf_nerfacto,tetra-nerf,tetra │
│ -nerf-original,volinga,zipnerf}: invalid choice: 'neurad' (choose from │
│ 'depth-nerfacto', 'dnerf', 'generfacto', 'instant-ngp', │
│ 'instant-ngp-bounded', 'mipnerf', 'nerfacto', 'nerfacto-big', │
│ 'nerfacto-huge', 'neus', 'neus-facto', 'phototourism', 'semantic-nerfw', │
│ 'splatfacto', 'splatfacto-big', 'tensorf', 'vanilla-nerf', 'BioNeRF', │
│ 'igs2gs', 'in2n', 'in2n-small', 'in2n-tiny', 'kplanes', 'kplanes-dynamic', │
│ 'lerf', 'lerf-big', 'lerf-lite', 'nerfgs', 'nerfplayer-nerfacto', │
│ 'nerfplayer-ngp', 'nerfsh', 'pynerf', 'pynerf-occupancy-grid', │
│ 'pynerf-synthetic', 'seathru-nerf', 'seathru-nerf-lite', 'signerf', │
│ 'signerf_nerfacto', 'tetra-nerf', 'tetra-nerf-original', 'volinga', │
│ 'zipnerf') │
│ ──────────────────────────────────────────────────────────────────────────── │
│ For full helptext, run train.py --help │
also,pandaset-data is not work
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