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sunny2109 avatar sunny2109 commented on June 2, 2024 1

Yeah, but can it be a few days later?
I've had a paper going deadline recently.
I expect to add this part of the code around the 15th.

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sunny2109 avatar sunny2109 commented on June 2, 2024 1

Hello, the code is available here

You can use this script to achieve memory-efficient forward, but the output may have a checkerboard effect.

python inference/inference_real_safmn.py --large_input

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sunny2109 avatar sunny2109 commented on June 2, 2024

For the super-resolution of a large image with 2K or 4K pixels,
we can crop the input image into patches and perform SR on each of these sub-images and then merge them together.

You can refer this code to do so.

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zelenooki87 avatar zelenooki87 commented on June 2, 2024

could you please help and more advice, cause I am not very familiar to python code.
could you please make .ipynb or .py file that can do this for me but in SAFMN project.
results are fantastic, I am very impressed, better than with swinir in most cases
(for inference without ground throuth images)
thanks

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zelenooki87 avatar zelenooki87 commented on June 2, 2024

that is OK. keep hard work!
greetz

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zelenooki87 avatar zelenooki87 commented on June 2, 2024

thank you very much

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