Comments (4)
alvin2ye
commented on June 15, 2024
stop here about 2 hours.
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alvin2ye
commented on June 15, 2024
when the train 4500 files, test 700 files is stop.
but 1000 files, test 150 files is ok.
I am afraid the effect
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alvin2ye
commented on June 15, 2024
Sorry , It's also stop. at Epoch 3
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yu4u
commented on June 15, 2024
Hmm, it's storage and hard to reproduce...
The number of val images might matter because current code reads all val images and stores them on main memory. How about reducing the number of val images again?
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Related Issues (20)
- Already have Input-Output Noisy Pairs HOT 1
- Hi ! Any kinds of pictures can be fit for your net? HOT 12
- How do I get this to work and can it work for what I want it to? HOT 8
- How do clean document scans with this? HOT 1
- How do I use the trained model file to remove noise from my photos? HOT 1
- How to modify random text noise for custom image noise? HOT 1
- can this use in point cloud denoising? HOT 1
- I want to use our own noisy data to train the model HOT 3
- Tensorflow error HOT 5
- run error
- AttributeError: module 'tensorflow' has no attribute 'log' HOT 2
- remove other watermarking HOT 2
- Deleting dataset causes error (Google Colab) HOT 2
- I have GPU GeForce GTX 1050 and 32GB RAM but still issuse of OOM HOT 2
- one-dimensional data instead of pictures HOT 1
- There's some problem in the training process
- EEE students, Beginners in the field need assistance
- loss nan or inf HOT 7
- > @HongChow
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