gangweix commited on
Commit
6b4539c
·
verified ·
1 Parent(s): 2fb6998

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -1
app.py CHANGED
@@ -47,7 +47,7 @@ css = """
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  set_seed(666)
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- DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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  # DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
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  default_steps = 10
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  model = PixelPerfectDepth(sampling_steps=default_steps)
@@ -74,6 +74,7 @@ def main(share=True):
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  @(spaces.GPU if HUGGINFACE_SPACES_INSTALLED else (lambda x: x))
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  def predict_depth(image, denoise_steps):
 
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  global model
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  model = model.to(DEVICE)
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  depth, resize_image = model.infer_image(image, sampling_steps=denoise_steps)
@@ -81,6 +82,7 @@ def main(share=True):
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  @(spaces.GPU if HUGGINFACE_SPACES_INSTALLED else (lambda x: x))
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  def predict_moge_depth(image):
 
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  image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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  image = torch.tensor(image / 255, dtype=torch.float32, device=DEVICE).permute(2, 0, 1)
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  global moge_model
 
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  set_seed(666)
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+ # DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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  # DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
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  default_steps = 10
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  model = PixelPerfectDepth(sampling_steps=default_steps)
 
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  @(spaces.GPU if HUGGINFACE_SPACES_INSTALLED else (lambda x: x))
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  def predict_depth(image, denoise_steps):
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+ DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  global model
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  model = model.to(DEVICE)
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  depth, resize_image = model.infer_image(image, sampling_steps=denoise_steps)
 
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  @(spaces.GPU if HUGGINFACE_SPACES_INSTALLED else (lambda x: x))
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  def predict_moge_depth(image):
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+ DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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  image = torch.tensor(image / 255, dtype=torch.float32, device=DEVICE).permute(2, 0, 1)
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  global moge_model