kxhit commited on
Commit
be6ccaa
1 Parent(s): 6509a18
Files changed (2) hide show
  1. app.py +2 -2
  2. gradio_demo/gradio_demo.py +2 -2
app.py CHANGED
@@ -1,4 +1,6 @@
1
  import spaces
 
 
2
 
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  import gradio as gr
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  import os
@@ -8,7 +10,6 @@ import numpy as np
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  import math
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  import open3d as o3d
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  from PIL import Image
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- import torch
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  import torchvision
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  import trimesh
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  from skimage.io import imsave
@@ -17,7 +18,6 @@ import cv2
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  import matplotlib.pyplot as pl
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  pl.ion()
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- print("cuda is available: ", torch.cuda.is_available())
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  CaPE_TYPE = "6DoF"
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  device = 'cuda' #if torch.cuda.is_available() else 'cpu'
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  weight_dtype = torch.float16
 
1
  import spaces
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+ import torch
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+ print("cuda is available: ", torch.cuda.is_available())
4
 
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  import gradio as gr
6
  import os
 
10
  import math
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  import open3d as o3d
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  from PIL import Image
 
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  import torchvision
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  import trimesh
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  from skimage.io import imsave
 
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  import matplotlib.pyplot as pl
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  pl.ion()
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  CaPE_TYPE = "6DoF"
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  device = 'cuda' #if torch.cuda.is_available() else 'cpu'
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  weight_dtype = torch.float16
gradio_demo/gradio_demo.py CHANGED
@@ -1,4 +1,6 @@
1
  import spaces
 
 
2
 
3
  import gradio as gr
4
  import os
@@ -8,7 +10,6 @@ import numpy as np
8
  import math
9
  import open3d as o3d
10
  from PIL import Image
11
- import torch
12
  import torchvision
13
  import trimesh
14
  from skimage.io import imsave
@@ -17,7 +18,6 @@ import cv2
17
  import matplotlib.pyplot as pl
18
  pl.ion()
19
 
20
- print("cuda is available: ", torch.cuda.is_available())
21
  CaPE_TYPE = "6DoF"
22
  device = 'cuda' #if torch.cuda.is_available() else 'cpu'
23
  weight_dtype = torch.float16
 
1
  import spaces
2
+ import torch
3
+ print("cuda is available: ", torch.cuda.is_available())
4
 
5
  import gradio as gr
6
  import os
 
10
  import math
11
  import open3d as o3d
12
  from PIL import Image
 
13
  import torchvision
14
  import trimesh
15
  from skimage.io import imsave
 
18
  import matplotlib.pyplot as pl
19
  pl.ion()
20
 
 
21
  CaPE_TYPE = "6DoF"
22
  device = 'cuda' #if torch.cuda.is_available() else 'cpu'
23
  weight_dtype = torch.float16