lightcraft-denoise
L1 pure-Rust AI RAW denoise primitives and CPU inference. No weights are bundled. See user workflow and limitations.
lightcraft-denoise-core provides metadata, Bayer helpers and cache formats,
re-exported here. manifest and known validate opt-in models; onnx reads a bounded operator subset
into net; cpu executes it and reference supplies scalar checks. bayer, tiles
and run pack sensor data and blend overlapping tiles while preserving clipped
highlights. product reads/writes the disposable .lcdn cache. runtime supplies
the installation self-test. Synthetic networks are generated in Rust for tests.
Run cargo test -p lightcraft-denoise --features runtime. The CPU backend is optional;
featureless and web builds keep the model metadata and cache format without faer/GEMM.
The rawnind-model feature enables the otherwise empty download catalog and requires
an explicit release-policy decision. Real-model tests are ignored by default and
require an explicitly supplied local model. The GPU twin is lightcraft-gpu::nn;
model management, background jobs and export integration live in lightcraft-engine.