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How to train on 1024 x 1024 face images? #475
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Originally created by @danial880 on GitHub (Mar 28, 2024).
Hi, Thanks for your great work.
I have cropped faces of size 1024x1024. Right now, I am slicing the face into 4 equal slices of 512x512, applying face restoration on each slice, and then concatenating these slices.
I want to directly train a model on 1024x1024 images. So I can skip concatenating. What modification can I make to train_gfpgan_v1.yml, to achieve this?
@OmlineEditor commented on GitHub (Apr 4, 2024):
Have you been able to find a solution to your problem? Share the solution if you have found it.
@O-O1024 commented on GitHub (Apr 5, 2024):
I find his project is work: GFPGAN-1024 #356
@luser350 commented on GitHub (May 21, 2024):
GFPGAN-1024 takes input 512 and gives 1024 as output. I also want input as 1024. @OmlineEditor @danial880 @jkla139 @tuhins @VincentSC any idea?
@OmlineEditor commented on GitHub (Jun 11, 2024):
do you want to have a 1024 photo at the input and the exact same 1024 photo at the output? I don't quite understand what you want to achieve?