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SUNet_AWGN_denoising

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52Hz commited on Jan 22, 2022

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8ab1010

1 Parent(s): 479f9f1

Update app.py

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app.py CHANGED Viewed

@@ -23,7 +23,7 @@ title = "SUNet: Swin Transformer with UNet for Image Denoising"
 description = "Gradio demo for SUNet. SUNet has competitive performance results in terms of quantitative metrics and visual quality. See the paper and project page for detailed results below. Here, we provide a demo for AWGN image denoising. To use it, simply upload your image, or click one of the examples to load them. Reference from: https://huggingface.co/akhaliq"
 article = "<p style='text-align: center'><a href='https://' target='_blank'>SUNet: Swin Transformer with UNet for Image Denoising</a> | <a href='https://github.com/FanChiMao/SUNet' target='_blank'>Github Repo</a></p>"
-examples = [['butterfly.png']]
 gr.Interface(
     inference,
     [gr.inputs.Image(type="pil", label="Input")],

 description = "Gradio demo for SUNet. SUNet has competitive performance results in terms of quantitative metrics and visual quality. See the paper and project page for detailed results below. Here, we provide a demo for AWGN image denoising. To use it, simply upload your image, or click one of the examples to load them. Reference from: https://huggingface.co/akhaliq"
 article = "<p style='text-align: center'><a href='https://' target='_blank'>SUNet: Swin Transformer with UNet for Image Denoising</a> | <a href='https://github.com/FanChiMao/SUNet' target='_blank'>Github Repo</a></p>"
+examples = [['set5/baby.png'], ['set5/bird.png'],['set5/butterfly.png'],['set5/head.png'],['set5/woman.png']]
 gr.Interface(
     inference,
     [gr.inputs.Image(type="pil", label="Input")],