Comments (5)
I have solved my own problem. In my case, the change in the color is caused by under-fitting. And the black proble is caused by a wrong cell value. Hope my experience can solve you problem.
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I just trained more epoches and the problem was solved. (I was just verifying my code, so I just trained 5 epoches at first)
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I also have encountered this, and after I train more epoches, the whole image goes into totally black.
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How is the black problem solved? Does under-fitting mean training for a long time, or changing certain parameters? Thank you.
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@RisingEntropy Hello! May I know how long does the code takes to train 1 epoch? Thanks in advance!
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Related Issues (20)
- 运行demo.py出错 HOT 2
- Regarding local ensemble
- What is the difference between the proposed local ensemble and bilinear interpolation? HOT 1
- Why isn't the area swapped when local_ensemble is disabled?
- Question about train the code with multiple GPUs
- about the code HOT 1
- bsize? HOT 1
- about the code HOT 1
- About the experiments in the paper
- Regarding the code at line 86-90 in liif.py HOT 5
- error happen when run demo
- Why div2k and benchmarks have different calc_psnr? HOT 1
- About channel
- Pre-training model selection for testing HOT 1
- Why training needs 1000epoch?
- Does the data_norm is necessary?
- Training Question
- the epoch number is too large ,how to change?
- 如何使用自己的数据集进行训练?
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