Chaerin5 commited on
Commit
a4e93b7
·
1 Parent(s): 497cfc8

enable zerogpu

Browse files
Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -262,6 +262,9 @@ def make_ref_cond(
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  ):
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  print("ready to run autoencoder")
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  # print(f"image.device: {image.device}, type(image): {type(image)}")
 
 
 
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  latent = opts.latent_scaling_factor * autoencoder.encode(image[None, ...]).sample()
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  return image[None, ...], latent
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@@ -338,9 +341,7 @@ def get_ref_anno(ref):
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  Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5], inplace=True),
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  ]
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  )
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- image = image_transform(img)
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- image = image.numpy()
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- # image = torch.tensor(image)
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  kpts_valid = check_keypoints_validity(keypts, opts.image_size)
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  heatmaps = torch.tensor(
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  keypoint_heatmap(
 
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  ):
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  print("ready to run autoencoder")
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  # print(f"image.device: {image.device}, type(image): {type(image)}")
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+ os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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+ torch.cuda.set_device(0)
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+ image = image.to("cuda")
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  latent = opts.latent_scaling_factor * autoencoder.encode(image[None, ...]).sample()
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  return image[None, ...], latent
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  Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5], inplace=True),
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  ]
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  )
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+ image = image_transform(img).to(device)
 
 
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  kpts_valid = check_keypoints_validity(keypts, opts.image_size)
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  heatmaps = torch.tensor(
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  keypoint_heatmap(