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williamcfrancis
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188b6d4
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Parent(s):
f01b57a
Update app.py
Browse files
app.py
CHANGED
@@ -97,5 +97,5 @@ gr.Interface(
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description="This application uses deep learning to deblur motion-blurred images by computing the fast Fourier transform of the input and estimating the angle and length of blur using a deep convolutional neural network. It is based on a novel approach to blind motion deblurring, where a non-blind method (Weiner Deconvolution) is converted to a blind method using deep learning. Sample motion-blurred images can be found [here](https://github.com/williamcfrancis/Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning/tree/main/readme_imgs). GitHub Repository: [Blind Motion Deblurring for Legible License Plates](https://github.com/williamcfrancis/Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning).",
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allow_flagging="never",
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css=css,
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examples = 'readme_imgs
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).launch()
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description="This application uses deep learning to deblur motion-blurred images by computing the fast Fourier transform of the input and estimating the angle and length of blur using a deep convolutional neural network. It is based on a novel approach to blind motion deblurring, where a non-blind method (Weiner Deconvolution) is converted to a blind method using deep learning. Sample motion-blurred images can be found [here](https://github.com/williamcfrancis/Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning/tree/main/readme_imgs). GitHub Repository: [Blind Motion Deblurring for Legible License Plates](https://github.com/williamcfrancis/Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning).",
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allow_flagging="never",
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css=css,
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examples = 'readme_imgs'
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).launch()
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