brandonsmart commited on
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597cdce
1 Parent(s): 12c2bcf

Fixing spelling mistake

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Files changed (1) hide show
  1. demo.py +2 -2
demo.py CHANGED
@@ -111,7 +111,7 @@ if __name__ == '__main__':
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  ## Output
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  Below we show the generated 3D Gaussian Splat.
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  The generated splats are 30-40MB, so please allow up to 30 seconds for them to be downloaded from Hugging Face before rendering.
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- In the mean time your previous generations may be visible.
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  The arrow in the top right of the window below can be used to download the .ply for rendering with other viewers,
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  such as [here](https://projects.markkellogg.org/threejs/demo_gaussian_splats_3d.php?art=1&cu=0,-1,0&cp=0,1,0&cla=1,0,0&aa=false&2d=false&sh=0) or [here](https://playcanvas.com/supersplat/editor).
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  ''')
@@ -124,7 +124,7 @@ if __name__ == '__main__':
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  ## Examples
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  A gallery of examples generated from ScanNet++ and from 'in the wild' images taken with a mobile phone.
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  These examples are 30-40MB, so please allow up to 30 seconds for them to be downloaded from Hugging Face before rendering.
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- In the mean time your previous generations may be visible.
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  ''')
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  snapshot_1 = gradio.Image(None, visible=False)
 
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  ## Output
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  Below we show the generated 3D Gaussian Splat.
113
  The generated splats are 30-40MB, so please allow up to 30 seconds for them to be downloaded from Hugging Face before rendering.
114
+ As it downloads your previous generations may be visible.
115
  The arrow in the top right of the window below can be used to download the .ply for rendering with other viewers,
116
  such as [here](https://projects.markkellogg.org/threejs/demo_gaussian_splats_3d.php?art=1&cu=0,-1,0&cp=0,1,0&cla=1,0,0&aa=false&2d=false&sh=0) or [here](https://playcanvas.com/supersplat/editor).
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  ''')
 
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  ## Examples
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  A gallery of examples generated from ScanNet++ and from 'in the wild' images taken with a mobile phone.
126
  These examples are 30-40MB, so please allow up to 30 seconds for them to be downloaded from Hugging Face before rendering.
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+ As it downloads your previous generations may be visible.
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  ''')
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  snapshot_1 = gradio.Image(None, visible=False)