autoshade-mirror-autoshade-raw-denoise

autoshade-raw-denoise-v2.pth

AutoShade's RAW-mosaic denoiser: KAIR/DPIR's DRUNet-colour architecture (MIT) carrying weights fine-tuned by the AutoShade project for its own pipeline (generalised Anscombe transform, per-plane noise model and noise field) on real RawNIND pairs (Brummer & De Vleeschouwer, CC BY-SA 4.0) and synthetic sensor noise; v2 continues the v1 fine-tune with point sources injected on the clean side so that faint stars are no longer removed as noise (scripts/train_raw.py --stars 0.5 --loss l2x, 60000 steps, the step-50000 checkpoint chosen by the pre-committed acceptance lines).

This repo is the project's own SECOND host for the file it publishes on GitHub: https://github.com/skymanbp/autoshade/releases/download/v1.5.2/autoshade-raw-denoise-v2.pth. The sidecar (python/denoise_raw.py) tries this copy first and the release after it, and accepts either only when the bytes match the pin it carries:

• sha256 ffafa40a53f52092149db2fcf03636117ad6855e1068142d4f6b03b634e9f9c4
• 130,590,559 bytes

Licence: MIT for these weights and the architecture; see LICENSE beside this file. The RawNIND pairs the weights were fine-tuned on are CC BY-SA 4.0 and are credited in the project's docs/TECH_STACK.md.