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80 lines
1.6 KiB
Markdown
80 lines
1.6 KiB
Markdown
# Dataset configuration
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#### Specifying dataset
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The dataset path and type is specified in the model config. Both `dataset_inputs_train` and a `dataset_inputs_eval` need to be set. You can see `configs/graph_default.yaml` for more details on what a full config would look like.
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```yaml
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data:
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dataset_inputs_train:
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data_directory: data/instant_ngp/fox
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dataset_format: instant_ngp
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alpha_color: white
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dataset_inputs_eval:
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data_directory: data/instant_ngp/fox
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dataset_format: instant_ngp
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alpha_color: white
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```
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#### Visualize dataset
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TODO
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#### Supported datasets
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We include support for a set of standard dataset formats.
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###### Blender Synthetic
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```{button-link} https://drive.google.com/drive/u/1/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1
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:color: primary
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:outline:
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Download
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```
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```yaml
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dataset_format: blender
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```
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Classic NeRF dataset including the "lego bulldozer" scene that was released with the original NeRF paper.
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###### Instant NGP
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```{button-link} https://github.com/NVlabs/instant-ngp#nerf-fox
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:color: primary
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:outline:
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Download
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```
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```yaml
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dataset_format: instant_ngp
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```
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###### MipNeRF 360
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```{button-link} https://jonbarron.info/mipnerf360/
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:color: primary
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:outline:
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Download
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```
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```yaml
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dataset_format: mipnerf_360
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```
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###### Record3D
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```{button-link} https://record3d.app/
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:color: primary
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:outline:
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Download
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```
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```yaml
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dataset_format: record_3d
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```
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Directly import dataset recorded from a >= iPhone 12 Pro using the Record3D app.
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Record a video and export with the `EXR + JPG sequence` format. Unzip export and `rgb` folder before training.
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