Comments (3)
lchunleo
commented on August 29, 2024
Is it possible to fine tune based on the given pretrained weights for the images that I have? May I check how to do so?Thank you
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lcj951
commented on August 29, 2024
Thank you for answering my question.
I train the network use the model of DBPN-LL , the dataset i use to train for my net is DIV2K and Flickr30K , i have test your model with the Set5 dataset but the result is still a gap with the paper's result.
So i want to know which dataset you use to train your net to achieve your paper's result(PSNR) ?
Hope you can talk something about it. Thank you very much .
Best wishes to you!
Thankyou!
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1136831151
commented on August 29, 2024
how gpus cost
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Related Issues (20)
- What's class D_DownBlock(torch.nn.Module) mean?What's num_stages mean?
- I inserted some layers into dbpn.py,and it can be trained successfully.But failed to test. HOT 1
- I inserted some layers into dbpn.py,and it can be trained successfully.But failed to test.
- How to use correctly
- Question in main.py HOT 1
- normalization for DBPNITER
- cannot download zip file in any way
- I trained and eval got black images HOT 3
- what is the size of input ?
- Can't get the same results as in the article with pretrained model. HOT 2
- About training on GAN HOT 1
- Is it appropriate that the last convolutional layer of DBPN has no activation function?
- Training on other datasets HOT 1
- Did you initialize all models with zero 'a'?
- what's real critertion in main.py?
- Questions about the setting of network when denoising.
- Doubt about the patch_size parameter
- Discriminator pretrained model missing
- no valid convolution algorithms available in CuDNN
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