Closed NorthanX closed 2 years ago
Hi!
You can retrain the model with input in 512 by specifying --load_size 512
or --crop_size 512
(I forget which one). If you get any error saying dimension doesn't match, please fix the hard code (which gives the error) from 256
to the input argument opt.load_size
, otherwise the code should be runnable.
GFLA flownet is likely requiring some retraining to 512 as well, because GFLA is also trained at 256x256. I am not sure how robust GFLA is with higher input resolution.
I'm not sure if the performance would maintain the same, as this work is only tested at 256. Some related work in higher resolution that may be interesting are:
https://pose-with-style.github.io/ https://tryongan.github.io/tryongan/
Thank you for your advice! I will try with that.
Hi, thanks for the great work! I am curious about the results with high resolution, like 512*358, so I want to train by my own, but I am not so sure about how to change the training process. Could you please give me some advice?