Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -60,20 +60,21 @@ def predict_depth(input_image):
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if depth.ndim != 2:
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depth = depth.squeeze()
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#
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# Create a color map
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plt.figure(figsize=(10, 10))
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plt.imshow(
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plt.colorbar(label='Depth')
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plt.title('Predicted Depth Map')
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plt.axis('off')
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# Save the plot to a file
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output_path = "
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plt.savefig(output_path)
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plt.close()
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@@ -89,9 +90,9 @@ def predict_depth(input_image):
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iface = gr.Interface(
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fn=predict_depth,
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inputs=gr.Image(type="filepath"),
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outputs=[gr.Image(type="filepath", label="Depth Map"), gr.Textbox(label="Focal Length or Error Message")],
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title="DepthPro Demo",
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description="[DepthPro](https://huggingface.co/apple/DepthPro) is a fast metric depth prediction model. Simply upload an image to predict its depth map and focal length. Large images will be automatically resized."
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)
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# Launch the interface
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if depth.ndim != 2:
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depth = depth.squeeze()
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# Calculate inverse depth
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inverse_depth = 1.0 / depth
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# Clip inverse depth to 0-10 range
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inverse_depth_clipped = np.clip(inverse_depth, 0, 10)
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# Create a color map
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plt.figure(figsize=(10, 10))
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plt.imshow(inverse_depth_clipped, cmap='viridis')
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plt.colorbar(label='Inverse Depth')
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plt.title('Predicted Inverse Depth Map')
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plt.axis('off')
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# Save the plot to a file
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output_path = "inverse_depth_map.png"
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plt.savefig(output_path)
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plt.close()
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iface = gr.Interface(
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fn=predict_depth,
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inputs=gr.Image(type="filepath"),
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outputs=[gr.Image(type="filepath", label="Inverse Depth Map"), gr.Textbox(label="Focal Length or Error Message")],
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title="DepthPro Demo",
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description="[DepthPro](https://huggingface.co/apple/DepthPro) is a fast metric depth prediction model. Simply upload an image to predict its inverse depth map and focal length. Large images will be automatically resized."
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)
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# Launch the interface
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