An X-T30 RAF shot in Acros embeds a black-and-white camera JPEG, so the
per-file look fits only the tone curve, and the colour came from the
neutral "camera RGB ~ sRGB" fallback: a grey sky and muted colours. The
raw decode (lossless compressed) was correct.
Add a hand-kept SAME_SENSOR alias list next to the generated
rawtoaces-data table: the 26.1 MP X-Trans CMOS 4 bodies (X-T30, X-T30 II,
X-Pro3, X100V, X-S10, X-E4) use the X-T3's measured matrices, and their
white balance reads in Kelvin through them.
The Print dialog's Page section gets Lightroom's Page Options for Single Image
and Contact Sheet: the page number at the bottom right, the print settings line
(sharpening, profile, resolution) at the bottom left, and crop marks at the
corners of each photo. They are `print.set {page: {pageNumbers, pageInfo,
cropMarks}}`, saved with templates, drawn in the preview and composed into the
PDF; marks and text turn white on a dark page.
Batches 36's doc conflicts kept main's side of rows both sides had touched; for some, main had not changed the row,
so the PR's update was lost. Restored: LR-VIEW-FILMSTRIP (#1482), KEYC-COMPARE (#1491 + #1555), LR-IMP-LOCAL
(#1547 + #1820), LR-LIB-STACK (#1556), gaps 28 (#1555), 2 (#1029) and 23 (#1038), ROADMAP UI/UX (#1038). The
raw-parity by-maker and by-use tables are re-measured with coverage.py (545 verified, ~94% / ~85%).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- Visualize HDR (#1555) has no default key: ⇧H cycles the Tool Overlay (#1473, issue #224)
- CR3 tests (#1461, #1462) accept adaptive QP 131–175, as #1694 decodes; cr3.md says the R6 Mark II files decode
- English fallbacks in the Czech and Polish catalogs use → for the menu triangle; Polish in the keyword-label test
- canvas handle tests show pins (Tool Overlay Always); a focused handle keeps its pins shown in Auto
- the model-install test and demo deadlock guards wait on deadlines long enough for a busy machine
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Nikon bodies from before ~2016 record no CropArea, so the decoder kept
their whole sensor data, less trailing dark columns. Where that data
holds masked lines above black or optical black, they were developed as
a coloured or dark bar on that edge: the D7000 and D5100's 36 columns at
~600 (#976), the D800's 14 (#914, the top in portrait), the D600 / D610's
8 (#1236), the D3200's 46, and others.
MEASURED_BODIES (crates/raw/src/vendor/nef.rs) now gives 44 more model /
data size / depth groups the frame of their camera JPEG inside the data,
next to the D4, D7100 and D90 entries already there: D7000, D5100, D800,
D800E, Df, the D4's 12-bit mode, D3, D3S, D700, D300, D300S, D600, D610,
D810, D4S, D5600, Coolpix A, D3000, D40X, D60, D80, D2Xs, D200, D3200
and Nikon 1 V1; and, on best-guess frames short of the evidence rule,
each with a comment naming its evidence, the D3100 (3 of 4 clean files
agree), D5000 (4 of 5, and the D90's sensor), D40 (2 of 2), D50 and D70
(one file each, agreeing) and D70s (next to them, between pixels).
Every best-guess frame keeps the masked lines out by several pixels.
An entry matches model, data size and depth exactly. Bodies whose data
holds only picture beyond the camera frame get no entry and render as
before.
`cargo xtask raw-frame FILE...` (crates/engine/examples/raw_frame.rs)
measures a body: it aligns each raw's embedded camera JPEG with the
sensor data (half-size luminance, gradient correlation, sub-pixel peak;
weak, ambiguous or between-pixel peaks are flagged), counts the edge
lines that hold no picture and reports what the decoder's crop keeps
beyond the camera frame. A masked line is flat and its two CFA phases
agree within the noise or within 0.4% of white, so filler with a small
fixed offset between them (D90, D5000) counts. It prints entries only
with evidence: at least 3 clean files agreeing exactly, of the model
(12- and 14-bit pooled) or, with at least one of its own, with sibling
models of the same readout (data and JPEG size) that agree on the same
frame. On the D7500, which records its CropArea, it finds that area
exactly; it declines the Z f, whose JPEG is distortion-corrected. It
works for any make whose raw embeds a full-size camera JPEG: on Sony,
Canon CR2 / CR3, Pentax and Samsung files it finds the decoder's own
crop (relative to the active area).
Every Nikon raw on raw.pixls.us without CropArea was surveyed this way
(its 138 CC0 samples, plus 124 other publicly posted sample files; only
the measurements are committed). Bodies whose data holds only picture
beyond the frame need no entry (D750, D5300, D5500, D3300, D2X, D2Hs,
D3X, D5200, Coolpix P6000, Nikon 1 AW1 / J3 / V2 / V3, the D800's crop
modes); raw-parity.md lists them, and no longer claims every NEF
coding but HE decodes. measured_bodies_are_consistent checks every entry lies
inside its data and is listed once; measured_older_dx_bodies_image_area
covers the D200, D3200, Nikon 1 V1 and best-guess entries.
Fixes#976Fixes#914Fixes#1236
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Task: LRC-LIB-CATALOG-IMPORT
Count offline records, Local promotions and virtual copies correctly. Keep destination, warnings and errors in a persistent import result, with Show in Library clearing filters. Preserve library-switch ownership, reimport identities, existing edits and one-step undo.
Avoid repeated missing-original probes and unnecessary staged-photo, catalog-operation and develop-patch copies. Preserve upstream phased progress and typed cancellation. Address Astra review findings with regression coverage.
Validated the combined main tree with all eight cargo xtask ci gates (3,462 passing test executions; zero failures), fresh 30k import/persistence/metadata checks, duplicate-free same-session and reopened reimports, and visually inspected headless screenshots. Historical performance comparisons apply to the f730805d production changes before main integration; native Windows import/GUI acceptance remains unqualified.
Generated with Codex.
Tested on real Sony A7R VI brackets (67 MP): the merged radiance agrees with every frame within ~1 % in all three
channels and the measured exposure steps match EXIF within 0.03 EV, and the black-hole stars and the merge memory are
fixed. What keeps the row 🟡 goes to gap 29: AI Denoise doesn't run on merged (linear) DNGs as Lightroom's does, JPEG
brackets have no camera response curve, and every frame is held as 32-bit float (~0.86 GB per 67 MP frame). Merge area
100 % → 88 % in target-app-parity.md.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Resolve doc conflicts in gaps, parity-checklist and raw-parity; coverage
numbers regenerated with docs/raw/coverage.py, parity summary refreshed.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Recheck all 54 files in the 41-model shortlist on main 25ef65c8.
Pin 40 accepted files by SHA-256 and full decoded sensor FNV-1a,
and record their camera-image correlation. Exclude eleven candidate
models after checking identity, camera module, provenance and references.
Update generated coverage and tracking documents to 265 verified models.
Keep Nikon coding limits and the own-matrix DNG rendering issue explicit.
Co-Authored-By: Codex <noreply@openai.com>
Brandon Thomas