A simple demonstration of the use of a probability matrix to select from two candidate colours. In this case, both colours contribute equally to the initial input colour. The normalised threshold matrix value at for a given pixel is compared against the cumulative probability of each candidate.
Data flows left to right. Each stage reads input, does its work, writes output. There's no pipe reader to acquire, no controller lock to manage. If a downstream stage is slow, upstream stages naturally slow down as well. Backpressure is implicit in the model, not a separate mechanism to learn (or ignore).
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