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@@ -6,16 +6,16 @@ We provide a command line interface for training your own NeRFs (no coding neces
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Here are the popular commands that we offer. If you've cloned the repo, you can also look at the [pyproject.toml file](https://github.com/nerfstudio-project/nerfstudio/blob/main/pyproject.toml) at the `[project.scripts]` section for details.
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| Command | Description | Filename |
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| ------------------------------------ | -------------------------------------- | --------------------------------------------- |
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| [ns-install-cli](ns_install_cli) | Install tab completion for all scripts | nerfstudio/scripts/completions/install.py |
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| [ns-process-data](ns_process_data) | Generate a dataset from your own data | nerfstudio/scripts/process_data.py |
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| [ns-download-data](ns_download_data) | Download existing captures | nerfstudio/scripts/downloads/download_data.py |
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| [ns-train](ns_train) | Generate a NeRF | nerfstudio/scripts/train.py |
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| [ns-viewer](ns_viewer) | View a trained NeRF | nerfstudio/scripts/viewer/run_viewer.py |
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| [ns-eval](ns_eval) | Run evaluation metrics for your Model | nerfstudio/scripts/eval.py |
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| [ns-render](ns_render) | Render out a video of your NeRF | nerfstudio/scripts/render.py |
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| [ns-export](ns_export) | Export a NeRF into other formats | nerfstudio/scripts/exporter.py |
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| Command | Description | Filename |
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| ------------------------------------ | -------------------------------------- | ---------------------------------- |
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| [ns-install-cli](ns_install_cli) | Install tab completion for all scripts | scripts/completions/install.py |
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| [ns-process-data](ns_process_data) | Generate a dataset from your own data | scripts/process_data.py |
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| [ns-download-data](ns_download_data) | Download existing captures | scripts/downloads/download_data.py |
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| [ns-train](ns_train) | Generate a NeRF | scripts/train.py |
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| [ns-viewer](ns_viewer) | View a trained NeRF | scripts/viewer/run_viewer.py |
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| [ns-eval](ns_eval) | Run evaluation metrics for your Model | scripts/eval.py |
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| [ns-render](ns_render) | Render out a video of your NeRF | scripts/render.py |
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| [ns-export](ns_export) | Export a NeRF into other formats | scripts/exporter.py |
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```{toctree}
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:maxdepth: 1
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@@ -2,7 +2,7 @@
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```{eval-rst}
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.. argparse::
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:module: nerfstudio.scripts.downloads.download_data
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:module: scripts.downloads.download_data
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:func: get_parser_fn
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:prog: ns-download-data
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:nodefault:
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@@ -2,7 +2,7 @@
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```{eval-rst}
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.. argparse::
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:module: nerfstudio.scripts.eval
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:module: scripts.eval
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:func: get_parser_fn
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:prog: ns-eval
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:nodefault:
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@@ -2,7 +2,7 @@
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```{eval-rst}
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.. argparse::
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:module: nerfstudio.scripts.exporter
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:module: scripts.exporter
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:func: get_parser_fn
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:prog: ns-export
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:nodefault:
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@@ -2,7 +2,7 @@
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```{eval-rst}
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.. argparse::
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:module: nerfstudio.scripts.completions.install
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:module: scripts.completions.install
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:func: get_parser_fn
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:prog: ns-install-cli
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:nodefault:
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@@ -8,7 +8,7 @@ You may also want to install [hloc](https://github.com/cvg/Hierarchical-Localiza
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```{eval-rst}
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.. argparse::
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:module: nerfstudio.scripts.process_data
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:module: scripts.process_data
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:func: get_parser_fn
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:prog: ns-process-data
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:nodefault:
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@@ -7,7 +7,7 @@ Make sure to have [FFmpeg](https://ffmpeg.org/download.html) installed.
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```{eval-rst}
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.. argparse::
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:module: nerfstudio.scripts.render
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:module: scripts.render
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:func: get_parser_fn
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:prog: ns-render
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:nodefault:
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@@ -2,7 +2,7 @@
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```{eval-rst}
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.. argparse::
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:module: nerfstudio.scripts.viewer.run_viewer
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:module: scripts.viewer.run_viewer
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:func: get_parser_fn
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:prog: ns-viewer
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:nodefault:
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