ando-khachatryan

Thanks for the prompt reply. Screenshots: S3, TensorBoard folder. TensorBoard, showing the "runs". TensorBoard, showing the "runs" and the scalars. All the scalar groups except the last two (train and...

Git repo & branch: https://github.com/ando-khachatryan/HiDDeN/tree/sagemaker-debug-issue data: https://ando-public-sagemaker.s3.amazonaws.com/small.zip Extract and put the files into your S3 bucket. ``` % cd wm % cp util/sagemaker_config_example.py util/sagemaker_config.py ``` Open and fill in the...

Update: I found an issue on in my code, fixed it and pushed. However the problem is not completely gone. For diagnostics, I removed all statements which write into TensorBoard....

Yes, I ran it on the local machine and there is only the the file within the TensorBoard folder which contains the info that I write. The GLOBAL folder is...

@matthewmoss Nope, ended up just deleting those redundant files every time after the simulation.

Hi, The noise layer implementation is a bit different (more general) from the paper. You can obtain the effect of the paper noise layers but you'd need to tweak with...

Yes, you are right, this repo only reproduces the end-to-end training and validation. Real jpeg, Digimarc, and other experiments are outside the scope of this repo.

I've already forgotten what was going on here so I had a brief look; it seems the noise configuration is the same for training and validation. However, you can easily...