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Thx author again!I have train x4 nettwork and then train x8 network.
source myenv/bin/activate
cd code
python train.py -opt ./confs/SRFlow_DF2K_4X.yml
python train.py -…
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#14
**I run command again.** (python train.py -opt ./confs/SRFlow_DF2K_4X.yml # Diverse Images 4X (Dataset Included)) and the result is
(myenv) (base) ubuntu@ubuntu:~/Desktop/data1024/SRFlow-maste…
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At the early beginning, the loss like this
![image](https://user-images.githubusercontent.com/7822492/110098852-9bcac880-7ddb-11eb-847c-fa0819bdfe8a.png)
But after 3 k epoch, the loss meet NaN prob…
ccJia updated
3 years ago
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Can this code run with multi-GPU?
I got a mistake
[2021-05-28 17:07:27,724] - [trainer.py file line:53] - INFO: load_model_path: ./model_00048.pt
Traceback (most recent call last):
File "main.…
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Thx author!This is a great work!
But I train x4(python train.py -opt ./confs/SRFlow_DF2K_4X.yml) with problem.And with origin code.
Skipping ERROR caught in nll = model.optimize_parameters(current_s…
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Dear author:
You SRFlow work is really insightful. Lots of researchers just like me are looking forward to try your models. Please kindly share the source code asap. Thank you very much!
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Are we assumed to use final training output to calculate the loss as in eq (3)?
In GLOW, ```(-loss / (log(2) * n_pixel)).mean()``` is implemented as well. It is not mentioned in SRFLOW, do we need s…
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Any ETA on that?