Dylan M. Taylor
d8ceb3a6af
XMP flattening, sparse-focus EXIF decode (plus the maker-note and TIFF value budgets), lossy-DNG chunk staging, panorama stitch frames, the reference ONNX executor's tensors and the denoise product reader all now reject or cap what a malformed file can make them allocate: each result is checked before the memory behind it is reserved, every regression carrying a test that fails without its bound.
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.