Ahsen Khaliq
commited on
Commit
•
363c085
1
Parent(s):
a4d2b90
Update app.py
Browse files
app.py
CHANGED
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@@ -3,13 +3,14 @@ os.system("hub install openpose_body_estimation==1.0.0")
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import gradio as gr
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import paddlehub as hub
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import numpy as np
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model = hub.Module(name='openpose_body_estimation')
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def inference(image):
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result = model.predict(image.name)
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return Image.fromarray(np.uint8(result[0])[:,:,::-1]).convert('RGB')
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title = "
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description = "Gradio demo for UGATIT-selfie2anime. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1907.10830' target='_blank'>U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation</a> | <a href='https://github.com/taki0112/UGATIT' target='_blank'>Github Repo</a></p>"
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import gradio as gr
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import paddlehub as hub
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import numpy as np
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from PIL import Image
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model = hub.Module(name='openpose_body_estimation')
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def inference(image):
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result = model.predict(image.name)
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return Image.fromarray(np.uint8(result[0])[:,:,::-1]).convert('RGB')
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title = "OpenPose"
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description = "Gradio demo for UGATIT-selfie2anime. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1907.10830' target='_blank'>U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation</a> | <a href='https://github.com/taki0112/UGATIT' target='_blank'>Github Repo</a></p>"
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