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* added volinga model to NeRFStudio * Removed unused dependencies * Modified dockerfile to match main * Corrected typo in core_code_checks.yml * Corrected typo in core_code_checks.yml * updated test with Volinga * Added conversion to NVOL documentation * [WIP] Refactor documentation and removing Volinga config * Volinga use existing NerfactoModelConfig * Added Unreal Engine documentation to extensions * removed unused field class import * Updated docs * Documentation ready * Update Dockerfile --------- Co-authored-by: Matthew Tancik <tancik@berkeley.edu>
40 lines
1.3 KiB
Markdown
40 lines
1.3 KiB
Markdown
# Exporting to Unreal Engine
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```{image} imgs/desolation_unreal.png
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:width: 800
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:align: center
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:alt: NeRF in Unreal Engine
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```
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## Overview
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NeRFStudio models can be used in Unreal Engine if they are converted to an NVOL file. NVOL is a new standard file format to store NeRFs in a fast and efficient way. NVOL files can be obtained from NeRFStudio checkpoints files (.ckpt) using the [Volinga Suite](https://volinga.ai/).
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:::{admonition} Note
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:class: warning
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Volinga Suite is not yet publicly available. If you are interested in converting your models to NVOL, sign up for the beta at [volinga.ai](https://volinga.ai).
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:::
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## Exporting your model to NVOL
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Currently NVOL file only supports Volinga model (which is based on nerfacto). You can train your model using the following command:
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```bash
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ns-train volinga --data /path/to/your/data --vis viewer
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```
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Once the training is done, you can find your checkpoint file in the `outputs/path-to-your-data/volinga` folder. Then, you can drag it to Volinga Suite to export it to NVOL.
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```{image} imgs/export_nvol.png
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:width: 400
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:align: center
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:alt: Nvol export in Voliga Suite
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```
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Once the NVOL is ready, you can download it and use it in Unreal Engine.
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```{image} imgs/nvol_ready.png
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:width: 800
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:align: center
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:alt: NVOL ready to use
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``` |