A DNG can state a white level the sensor never reaches (an iPhone 15 Pro Max Bayer DNG states 4095 but clips at 3567), so clipped highlights were not recognised and white balance tinted them magenta. On decode, samples that form a plateau clearly below the white level, with nothing above it, are raised to the white level. RENDER_CACHE_VERSION 25 (needs adjusting at merge).
With a CropAngle, Lightroom's CropLeft/CropTop and CropRight/CropBottom
are the top-left and bottom-right corners of the tilted crop on the
stored image, and its angle turns the other way to LightCraft's. The
import treated the edges as an axis-aligned rectangle in the rotated
frame and kept the angle's sign, so straightened crops came out the
wrong shape and size.
Carry the two corners through the orientation and then LightCraft's
straighten rotation (angle = -CropAngle, mirrored orientations flip it
back), using the stored image's aspect from fileWidth/fileHeight. On a
real catalog every one of 223 straightened crops now matches the frame
of Lightroom's export, and the content difference falls to that of
unstraightened crops.
Refs #483
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Quantile matching fits the held-out pixels slightly worse than the conditional-median fit it replaced. On 7 of 1023 archive files (compacts, bridge cameras, early Micro Four Thirds) the look passed the acceptance gates only with the old curve, and the quantile curve lost it. The search now runs with the quantile fit first (all pixels, away from edges, with and without the camera profile) and, only when no look passes, runs again with the earlier conditional-median plus isotonic fit, restored as fit_tone_conditional. The gates are unchanged, so no file loses its look relative to the previous fit, and the quantile curve is used wherever it passes. Tests: the flat-step test stays; a synthetic photo whose JPEG carries per-pixel noise misses the gates with the quantile fit and passes with the fallback, and the order of the two is checked.
crs crop edges are normalized to the stored (unrotated) image, while
LightCraft's crop rectangle lives in the oriented frame. Catalog import
applied them unchanged, so crops on portrait photos (EXIF 6 or 8) landed
along the wrong axes.
Read Lightroom's orientation code (Adobe_images.orientation: AB, BC, CD,
DA and the mirrored BA, CB, DC, AD) and map the rectangle into the
oriented frame with Orientation::map_norm_rect; a mirrored orientation
also mirrors the straighten angle. The code comes from the catalog, so
this works while the originals are still missing at import time.
Refs #483
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Lightroom Classic catalogs store the crop edges and straighten angle in
their develop settings but, unlike XMP, never a HasCrop flag. The shared
crs mapper only applies a crop when crs:HasCrop is True, so every crop in
an imported catalog was dropped and reported as unmapped.
Infer HasCrop in the catalog path when any crop field is present. The XMP
path is unchanged: there HasCrop="False" with crop fields means the crop
is switched off.
Refs #483
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The per-photo look fitted its tone curve as the camera JPEG's median per
scene-luminance bin followed by isotonic pooling. On lens-corrected, sharpened
JPEGs of busy scenes neighbouring bins disagree by more than the gap between
them, so pooling produced flat steps: 13 of 31 segments on a CC0 Z 6II sample,
flat segments in 9 of 13 fitted Nikon Z / ILCE-7 samples. Each step maps a
range of scene tones to one output tone, which renders as posterised patches
with hard edges (issue #475, also #211, #454), and the conditional medians
flatten both ends of the curve.
Quantile matching (sorted scene quantiles against sorted JPEG quantiles) is
increasing by construction and insensitive to misregistration. On the same 13
files no fit has a flat segment, all still pass the gates, held-out RMS within
0.005 of before. Regression test: a misregistered synthetic JPEG.
The one-strip Sony ARW layout was accepted when the raw strip was 1.00-1.25x width x height bytes. The DSLR-A200, A230 and A350 sample files carry strips of 1.06x, 1.23x and 1.04x, passed that test and decoded as colour noise. Every file that decodes correctly (108 in the test archive) has a strip of exactly width x height bytes, so the layout is now accepted only then; the rest report "Sony ARW version 1 / packed compressed variant" and open from the embedded preview like the A290/A380. Part of #461 (not a decoder). RENDER_CACHE_VERSION 16 -> 19.
Renders a raw's DNG ProfileGainTableMap (Apple ProRAW's local tone mapping)
when the photo's Profile option "Camera local tone mapping" is on
(`profile.camera_local_tone`, off by default: Lightroom Classic renders
ProRAW without it). Built on #427's parser; supersedes the decode-time
applier of the first version of #273.
- raw/gaintable: GainTableMap::gain / evaluator (GainEval) per DNG 1.7.1:
bilinear between tables with edges replicated, input clamp(weights .
(R,G,B,min,max))^gamma in linear ProPhoto after the baseline exposure,
index input x MapPointsN clamped to the last point. Saturating cell
math; maps whose sizes don't match their gains aren't evaluated.
SourcePlacement: where a developed source sits in the active area.
- pipeline/local_tone: the gain per output pixel in the scene-linear
stage, before the white balance, mapped back through the frame (crop,
user orientation, warp) and the EXIF orientation. lin_needs_cpu routes
the stage to the CPU when it's on (CPU and GPU match); lin_key includes
it. SourceInfo::local_tone carries the map from the decoder.
- develop: Profile::camera_local_tone (omitted from JSON when off, so
existing settings and their hashes are unchanged); Profile row checkbox
when the source has a map; translations.
- RENDER_CACHE_VERSION 17. Docs: parity row and What's New as an opt-in.
Off renders pixel-identical to main on two iPhone 15 Pro ProRAWs (12 and
48 MP). On adds ~60-75 ms to the scene-linear stage at 1536x2048 on a
2-core VM, the same for both files (cost follows output pixels).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01VFqow2P1EtDxt6nRjjQoTA
1.Added Simplified Chinese font support for web and desktop builds.
2.Kept Inter as the default font, with Chinese used only as a fallback.
3.Verified Chinese glyph tests and a macOS universal build.
Signed-off-by: supper_yijie <syj794844854@163.com>
Samsung SRW raws whose raw IFD (private compression 32769 or 32770) stores the samples uncompressed are decoded from the sensor data: 12-bit samples packed two in three bytes (bit order told apart from the samples; NX5, NX10, NX11 and NX20, NX200, NX210, NX1000, NX1100) and 16-bit little-endian words (EX1, WB2000). CFA layout from the raw IFD's CFAPattern; framing, white balance, black and saturation levels from the maker note (value offsets relative to the note; the vectors are stored offset by its EncryptionKey); a one-direction Exif picture size crops to the centre of the framing; black from dark rows or columns when the file states none; saturation plateau below the stated level wins. Compressed codings (32770 with fewer bytes, 32772, 32773) stay preview only with that reason. srw is imported from folders; SRW takes the file-local camera look. RENDER_CACHE_VERSION 17.
sRAW and mRAW store subsampled YCbCr in a lossless-JPEG frame cut into
slices of whole MCUs. Reuse the subsampled lossless decoder added for
Sony M/S ARW with Canon's per-component sequential prediction, re-chop
the stream into image planes, and convert to linear white-balanced RGB
with chroma gains measured per file against the camera's own IFD2 RGB.
Render cache version 17.
Every demo-photo source load evaluated the procedural scene from scratch. A 24 MP demo
original costs ~200 CPU-seconds (AlpineLake, the photo the Detail tests open), and #323
added ~30 loupe tests that each load it at 1:1, Before and After separately. On the 4-vCPU
FreeBSD VM the ui-egui lib tests went from 1198 s to 3046 s, and the tests' 120 s/300 s
waits expired (loupe windows, fixture thumbnails starved of the shared rayon pool, the demo
detail snapshot).
Demo scene pixels are now generated once per (scene, size) and shared: concurrent loads
wait for one generation (Before/After at 1:1 no longer generate the original twice) and
the most recent results are kept up to half the memory budget. Locally, pinned to 4 CPUs,
the ui-egui lib suite now finishes in 155 s; without the change it had done 231 of 338
tests after 25 minutes.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
One config-dir helper (engine::config::config_dir; camera_profiles re-exports it) with both
the face-models and denoise-models defaults; hosts set up both model folders; Settings has
Faces and AI Denoise tabs; both command sets registered; both model dialogs; locale entries
from both; one [features] table per app manifest; Cargo.lock regenerated by cargo; the
DecodedSource cache cost counts both segmentation mattes and the denoised twin.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
TIFF raws that describe a full-resolution CFA IFD with DNG's tags (levels, crop, AsShotNeutral) but carry no DNG version tag are read by the DNG reader (RawFormat::CfaTiff, dng::decode_as). RGGB when the file states no CFAPattern. Lossless JPEG scans with a predictor selection value above 7 are rejected with that reason and stay preview-only. .3fr and .fff are imported from folders. RENDER_CACHE_VERSION 17.
The Canon maker note's AspectInfo (tag 0x009a: aspect code, cropped width,
height, left, top) holds the rectangle of the shot, measured from the
recommended image crop. Use it as the CR3 default crop, so 3:2, 4:3, 16:9 and
1:1 shots develop in the shape the photographer chose. The tag is ignored when
it is missing, does not fit, or the recommended crop itself is inconsistent.
RENDER_CACHE_VERSION 15 -> 16. The M50 C-RAW corpus sample (raw.pixls.us 2663)
was shot at 1:1 and now develops at 4000 x 4000.
Keep current upstream UI behavior and the later detector contract checks. Validate candidate models before replacing working weights and records, with a synthetic regression that failed before the fix. Remove the unrelated GPU equivalence-test relaxation. All seven quality gates pass with the pinned hosted fonts.
Generated with Codex.
Photo > Detect Faces runs the YuNet detector (a small pure-Rust interpreter over the ONNX graph, no
runtime dependency) and adds the faces it finds as unnamed face regions in one undo step. The detector
and the recognition models are opt-in downloads: Settings > Faces shows each model's licence and
training-data note, Download stays disabled until the terms are accepted, and the file is fetched over
https with lightcraft-fetch from the model's own repository at a commit-pinned address, checked against
its recorded size and SHA-256 and then installed. Detect Faces offers the detector's download the first
time it is used. No model file is part of the repository (the real-model tests read LC_YUNET_MODEL; two
ignored tests download from the real hosts).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Recover the unpublished denoise work against current upstream. Preserve later opt-in model setup, shared Rust HTTPS downloads, pending-photo resume and an Amount-independent switch. Keep original RAWs unchanged and share the current color finish between ordinary and denoised sources.
Bound public tiling inputs, refuse corrupt-cache exports, and retain synthetic/real-model coverage. Include two Windows path spelling fixes in existing tests. No model weights, face code, media or Tract runtime are included.
Validation: cargo xtask ci (all seven gates); installed RawNIND CPU/GPU agreement 1.38e-6; native CPU preview/export on a public 24 MP Sony RAW, unchanged original SHA-256.
Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: Claude Sonnet 5.5 <noreply@anthropic.com>
Generated with Codex.
Keep upstream tests and the fixed SAM worker, refresh the workspace version and parity summary, and route the model picker through the case-insensitive native filter helper. Carry the shared translated font-symbol correction; validation includes the pinned hosted fonts and all seven CI gates.
Generated with Codex.
The model list marked the YuNet detector as bundled with LightCraft and installed, but no model ships
inside LightCraft (the weights are opt-in downloads or files the user adds). Drop the notion: a
model is installed when its folder is, it can be removed like any other, and the licence notice no
longer says it is bundled.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
An off-by-default "Recognise faces" toggle and the face model list in Settings,
with a one-drop install: pick a .onnx (Add a model file…) or drop one on the
window. The engine inspects it (recognised by hash, or described from its
shape), a dialog shows its licence, whether commercial use is allowed, what it
was trained on and what LightCraft had to assume, and Install stays disabled
until "I accept" is ticked. "Get…" opens a model's own page in the browser:
LightCraft never fetches a model itself. A file it cannot use says why.
The models folder is shared by the app, the CLI and the MCP server
(`engine::config`, `$LIGHTCRAFT_FACE_MODELS` overrides `<config>/models`), so a
model installed from one is there for the others. A session has none until a host
asks (`with_default_face_models`), which keeps tests hermetic.
Nothing runs a model yet, and the tab says so. Headless tests cover the whole
flow (the dialog, refusing until accepted, installing, a file it cannot use).
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
radialmonster
Brandon Thomas
rock-meister
BuonBreda
supper_yijie
midasdf
Daniel Voshart