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9a33ecc
1 Parent(s): 587fb28

Update app.py

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Files changed (1) hide show
  1. app.py +2 -3
app.py CHANGED
@@ -4,7 +4,7 @@ import torch
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  import numpy as np
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  from PIL import Image
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- torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/000000039769.jpg', 'cats.jpg')
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  feature_extractor = DPTFeatureExtractor.from_pretrained("Intel/dpt-large")
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  model = DPTForDepthEstimation.from_pretrained("Intel/dpt-large")
@@ -34,13 +34,12 @@ def process_image(image):
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  title = "Demo: zero-shot depth estimation with DPT"
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  description = "Demo for Intel's DPT, a Dense Prediction Transformer for state-of-the-art dense prediction tasks such as semantic segmentation and depth estimation."
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- examples =[['cats.jpg']]
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  iface = gr.Interface(fn=process_image,
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  inputs=gr.inputs.Image(type="pil"),
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  outputs=gr.outputs.Image(type="pil", label="predicted depth"),
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  title=title,
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  description=description,
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- examples=examples,
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  enable_queue=True)
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  iface.launch(debug=True)
 
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  import numpy as np
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  from PIL import Image
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+ #torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/000000039769.jpg', 'cats.jpg')
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  feature_extractor = DPTFeatureExtractor.from_pretrained("Intel/dpt-large")
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  model = DPTForDepthEstimation.from_pretrained("Intel/dpt-large")
 
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  title = "Demo: zero-shot depth estimation with DPT"
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  description = "Demo for Intel's DPT, a Dense Prediction Transformer for state-of-the-art dense prediction tasks such as semantic segmentation and depth estimation."
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+
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  iface = gr.Interface(fn=process_image,
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  inputs=gr.inputs.Image(type="pil"),
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  outputs=gr.outputs.Image(type="pil", label="predicted depth"),
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  title=title,
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  description=description,
 
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  enable_queue=True)
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  iface.launch(debug=True)