Comments (6)
I also see this problem, and'train_set'seems to remain unchanged.
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@Wallace-he Have you solved this problem?
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This is correct. I'm actually working on migrating this over to keras (for multiple reasons), this will be one of the problems solved by that. Could use some help figuring out a problem with model saving in keras tho
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Sorry, this is my mistake! Now I want to output the PSNR value in each test. How can I achieve this?
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You can watch this using tensorboard, that's how I recommend doing it.
If you want to print PSNR, you'll have to edit the train loop to evaluate PSNR from the graph and print that
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Thank you. I'm sorry to bother you many times. But with your checkpoints and your own training results, the PSNR value of reconstructed images on set5 and test set and individual other pictures is even lower than that of traditional methods. Why?
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Related Issues (20)
- error in train.py HOT 4
- about training HOT 1
- I've implemented a Keras version of EDSR HOT 1
- training problem for tensorflow HOT 1
- What are the changes compared to the original paper? HOT 3
- test error HOT 2
- test_size in load_dataset
- train error HOT 3
- train error HOT 7
- ResourceExhaustedError HOT 1
- train_setOnly 200
- How to control the training epochs in the codes ? HOT 2
- test error HOT 2
- 14k times------loss suddenly increase HOT 3
- Did you use the GAN structure? HOT 5
- how to training MDSR HOT 2
- test error
- out of range HOT 4
- Versions?
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