nerfbaselines

nerfbaselines [OPTIONS] COMMAND [ARGS]...

download-dataset

nerfbaselines download-dataset [OPTIONS] DATASET

Options

-o, --output <output>
-v, --verbose

Arguments

DATASET

Required argument

evaluate

nerfbaselines evaluate [OPTIONS] PREDICTIONS

Options

-o, --output <output>

Required

--disable-extra-metrics

Disable extra metrics which need additional dependencies.

Arguments

PREDICTIONS

Required argument

render

nerfbaselines render [OPTIONS]

Options

--checkpoint <checkpoint>

Required

--data <data>

Required

--output <output>

output directory or tar.gz file

--split <split>
-v, --verbose
--backend <backend>
Options:

conda | docker | apptainer | python

render-dataset-results

nerfbaselines render-dataset-results [OPTIONS]

Options

--results <results>
--dataset <dataset>
--output-type <output_type>
Options:

markdown | json

Options:

paper | website | results | none

--output <output>

shell

nerfbaselines shell [OPTIONS]

Options

--method <method>

Required

Options:

instant-ngp | tetra-nerf:latest | nerfacto:huge | nerfacto | tetra-nerf | nerfacto:big | mipnerf360:single-gpu | gaussian-splatting | mipnerf360

--backend <backend>
Options:

conda | docker | apptainer | python

-v, --verbose

train

nerfbaselines train [OPTIONS]

Options

--method <method>

Required Method to use

Options:

gaussian-splatting | instant-ngp | mipnerf360 | mipnerf360:single-gpu | nerfacto | nerfacto:big | nerfacto:huge | tetra-nerf | tetra-nerf:latest

--checkpoint <checkpoint>
--data <data>

Required

--output <output>
--vis <vis>

Logger to use. Defaults to tensorboard.

Options:

none | wandb | tensorboard | wandb+tensorboard

-v, --verbose
--eval-single-iters <eval_single_iters>

When to evaluate a single image

--eval-all-iters <eval_all_iters>

When to evaluate all images

--backend <backend>
Options:

conda | docker | apptainer | python

--disable-extra-metrics

Disable extra metrics which need additional dependencies.

--disable-output-artifact

Disable producing output artifact containing final model and predictions.

--force-output-artifact

Force producing output artifact containing final model and predictions.

viewer

nerfbaselines viewer [OPTIONS]

Options

--checkpoint <checkpoint>

Required

--data <data>
-v, --verbose
--backend <backend>
Options:

conda | docker | apptainer | python

--port <port>