Comments (1)
Good catch. The large size was due to saving the optimizer variables. The code has been updated to only save constant values. The model size is now ~230mb,
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Related Issues (20)
- The encoded image can only be 400*400? HOT 4
- Which parameter or loss is the most important for the decodability of the printed image?
- How to convert encoded_image from tensor to numpy ? HOT 2
- Problem with parameter
- according to bash scripts/base.sh EXP_NAME,Model test after training HOT 5
- How to fine tune the model?
- Is the loss of the discriminator negative?
- How could I transform my picture like what displayed in the paper?
- what does the Cos dropoff means?
- How to train the model on 256x256?
- Secret Loss is not being optimized HOT 2
- How to embed url into imgs? HOT 1
- dataset HOT 1
- Can you provide the dataset you use?
- Questions about the tensorflow version HOT 3
- ValueError: The first layer in a Sequential model must get an `input_shape` or `batch_input_shape` argument. HOT 1
- Can't download trained models HOT 9
- About the encoder model
- Models download link provided. HOT 11
- Some Code Problem HOT 2
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