williamcfrancis commited on
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188b6d4
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1 Parent(s): f01b57a

Update app.py

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  1. app.py +1 -1
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/img1.jpg'
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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()