SSIM was chosen over CNN-based approaches for a deliberate reason: reproducibility without infrastructure. SSIM is a deterministic mathematical function. No training data, no model weights, no GPU, no framework dependencies. Anyone with fontconfig and node-canvas can reproduce these exact numbers on the same platform.
"[Nini]'s coming to the end of its lifetime," he says.
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For implementers, there's no Transformer protocol with start(), transform(), flush() methods and controller coordination passed into a TransformStream class that has its own hidden state machine and buffering mechanisms. Transforms are just functions or simple objects — far simpler to implement and test.
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