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Training from scratch.

Open make-j64 opened this issue 3 years ago • 7 comments

Hi @aiff22, Im training from scratch with EBB dataset, result at train_iters 40000 of level 1 is wrong, like this: https://ibb.co/bByGP4T

Is it normally? Should i continue training to 100000 iters as your recommend?

Thanks.

make-j64 avatar Apr 30 '21 10:04 make-j64

I meet the same problem, the color of the image was distorted at level 1.

C-water avatar May 05 '21 10:05 C-water

@unknow-dev hi, have you found a solution? I tried to modify loss function into L1*100, and adjust the lr of level-1, but it did not work. If you find the reason, could you share it with me? Thank you.

C-water avatar May 14 '21 09:05 C-water

@unknow-dev Hi, I recommend using the PyTorch code for training, and the author provides a basic version that requires modifications to level1 and level2. Unfortunately, the Tensorflow code I trained three times has gradient explosion that caused color distortion at level 1.

C-water avatar May 27 '21 02:05 C-water

@unknow-dev Hi, I recommend using the PyTorch code for training, and the author provides a basic version that requires modifications to level1 and level2. Unfortunately, the Tensorflow code I trained three times has gradient explosion that caused color distortion at level 1. Hi @chenquan-hdu , Thanks for your information, i will try.

make-j64 avatar May 27 '21 03:05 make-j64

@unknow-dev hi, have you found a solution? I tried to modify loss function into L1*100, and adjust the lr of level-1, but it did not work. If you find the reason, could you share it with me? Thank you.

@chenquan-hdu Hi, have you found a solution to the problem of image color distortion? If you find the solution, could you share it with me? Thank you!

JialeHu97 avatar Aug 17 '22 03:08 JialeHu97

Hi, I don't know how to solve this problem. Therefore, I used the PyTorch code for training, and the author provides a basic version (pynet-pytorch) that requires modifications to level1 and level2. PyTorch-version code is valid.

C-water avatar Aug 17 '22 04:08 C-water

@chenquan-hdu , Thanks for your information.

JialeHu97 avatar Aug 17 '22 06:08 JialeHu97