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An implementation of loopy belief propagation for binary image denoising. Both sequential and parallel updates are implemented.
Hello, I am new to belief propagation. I saw your program and I think it is exactly what I need (a parallel loopy bp).
However, I am not using parallel loopy bp to denoise pics, but I want to do Bayesian inference on a Ising model, whose factor graph is as follows. I wonder if your code can be modified and apply to my case? That is, I need to input a factor graph like the one in the picture but in your code I can only input an image. Would you please give me some hints on what should I modify in your program?
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