akhaliq HF staff commited on
Commit
c64a577
1 Parent(s): 8bc2e9b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -3
app.py CHANGED
@@ -10,11 +10,9 @@ utils = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_convnets_
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  resnet50.eval().to(device)
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  def inference(img):
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-
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  img_transforms = transforms.Compose(
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  [transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor()]
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  )
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-
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  img = img_transforms(img)
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  with torch.no_grad():
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  # mean and std are not multiplied by 255 as they are in training script
@@ -29,7 +27,7 @@ def inference(img):
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  [img]
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  ).to(device)
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- with torch.no_grad():
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  output = torch.nn.functional.softmax(resnet50(batch), dim=1)
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  results = utils.pick_n_best(predictions=output, n=5)
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  resnet50.eval().to(device)
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  def inference(img):
 
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  img_transforms = transforms.Compose(
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  [transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor()]
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  )
 
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  img = img_transforms(img)
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  with torch.no_grad():
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  # mean and std are not multiplied by 255 as they are in training script
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  [img]
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  ).to(device)
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+ with torch.no_grad():
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  output = torch.nn.functional.softmax(resnet50(batch), dim=1)
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  results = utils.pick_n_best(predictions=output, n=5)