The message length of the diffusion model

[python-pop]

Thanks for your code.
The message length of the diffusion model is 30 bits, and 256 bits when fully connected. When I change the length to another value for testing, I get an error. If I want to increase the message length, e.g. to 128 or 256 bits, what should I do, do I need to retrain.

[jzyustc]

Sure, you need to change the message length in the settings files and then retrain the model.

[python-pop]

Thank you, I would like to ask a question, as shown below.
I see that you use image_and_cover many times when passing parameters in your code, it is a list of length 2.
But I can't find where it's defined. so for image, cover_image=img_and_cover,can you tell me what these two variables represent?
Thanks again.

[jzyustc]

Sorry for the late reply. Normally, "image" represents the encoded image, while "cover_image" represents the original image.

They are defined here:
https://github.com/jzyustc/MBRS/blob/c0f31767bfe4262ea633c5779dacda6264795f7a/network/Encoder_MP_Decoder.py#L20C1-L20C1

[jzyustc]

Closing due to inactivity. Feel free to reopen if needed. Thanks.