Issue with inference

[inamdarmihir]

Hi, can you help me out with the inference code for super resolution of my test images, I am trying to implement your inference.py in Colab, will it work there, any particular comments or suggestions to implement this? @Royalvice @eltociear
Thanks.

[Royalvice]

Hi, you need to replace the network structure of DocDiff with some classical super-resolution network structures (such as adding more upsampling modules or attention modules), and then train it on your own document dataset.

[inamdarmihir]

Hi, I just wish to use it for deblurring or regeneration on (5-10) few test examples only at inference, I don't wish to retrain the network completely. Is that possible? Thanks and Regards, Mihir Inamdar

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On Mon, Jun 3, 2024 at 1:34 PM Zongyuan Yang ***@***.***> wrote: Hi, you need to replace the network structure of DocDiff with some classical super-resolution network structures (such as adding more upsampling modules or attention modules), and then train it on your own document dataset. — Reply to this email directly, view it on GitHub <#30 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AJME6RKPD5JPKFTU6RBHGH3ZFQPRVAVCNFSM6AAAAABISLXNLGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNBUGUZTIMBTGI> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[Royalvice]

If possible, could you share some samples?

[inamdarmihir]

Hi, If you could run this with these example images(attached below one you can save in the demo folder of the cloned repo, as gt_image, and other as the input_image which is low_res) in colab, and check if it works and the final cell I wish to save the super res. image. I am using the DocDiff_inference.ipynb <https://drive.google.com/file/d/1LrdeUANyaWmSzbL9gDvOz8rwbwT4tPZ-/view?usp=sharing> file which is shared in the repo with some edits. Please do check, and let me know as soon as possible. Thank you Regards, Mihir Inamdar

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On Mon, Jun 3, 2024 at 1:45 PM Zongyuan Yang ***@***.***> wrote: If possible, could you share some samples? — Reply to this email directly, view it on GitHub <#30 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AJME6ROUHCMKGDIUG7RMICDZFQQYXAVCNFSM6AAAAABISLXNLGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNBUGU2TOMRUHE> . You are receiving this because you authored the thread.Message ID: ***@***.***>