"Index faces in the whole library" could not. Its work list was intersected
with the thumbnail store at `ThumbSize::Large`, and nothing fills that class for
a whole library — `SWEEP_THUMB_SIZE` is deliberately `Grid`, because the large
class is ~860 MB of shards against ~200 MB and every syncing device pays it. So
the only images with a large proxy were the ones the user had personally zoomed
into or opened in the loupe. On this library that was 220 of 23,529.
The comment defending it misread the requirement:
// Requesting one here would put face indexing on the network path,
// which FR-CULL-8 explicitly keeps it off.
FR-CULL-8 keeps indexing off the **full decode**, not the network, and then says
the opposite in the same paragraph: "where no proxy exists, the job requests one
at background priority rather than decoding inline". faces.md §7 repeats it.
Neither was implemented.
So the pass fetches. Same two-stage route the thumbnail sweep uses — the header,
then the located preview's own byte range (FR-NC-3) — so no whole file is pulled
and no RAW is decoded, because an embedded preview is a JPEG. The work list is
now every visible image with no `face_index` row for the model: 23,308 here,
against nearly none before.
**It indexes at the resolution the preview actually has**, not the 1024 the old
tier would have given. `locate_preview` already picks the largest embedded
preview, and the thumbnail sweep was decoding it and throwing the detail away at
`downscale_to(256)`. A face 2% across the frame is 5 px on a grid thumbnail and
~61 px at the cap here — and 112 is what the embedder samples, so this is the
difference between an upsampled crop and a real one. `crop_px` records which,
per face, as §7 intended.
Capped at 3072 rather than truly full: `index_proxy` needs packed `f32` RGB at
12 bytes a pixel, so a 24 MP frame is ~288 MB and the fetch lanes hold one each.
The constant is named and sits next to the reason.
Orientation is applied **before** detection, not after downscaling. That costs a
permutation of a larger buffer — ~15 ms against a ~150 ms decode — and buys the
entire class of bug this codebase keeps having: detection then runs on the
photograph rather than the sensor, so every box and landmark is already in the
space the catalog stores and the overlay draws, with no second mapping to get
backwards.
One detector and one embedder serve every lane. The lanes are concurrent futures
on a single thread, not threads, and inference contains no await, so a `RefCell`
borrow never overlaps another — a pair per lane would duplicate ~16 MB of
weights for no parallelism.
Images with no face in them are recorded too. `face_index` records that
detection *ran*, and zero is its most valuable value: without the row every
landscape and document scan returns on every pass, for ever, and in a personal
library that is most of it (§7a).
The old store-only pass survives as `spawn_store_face_sweep` for
`examples/face_index.rs`, which indexes a local store with no network. The
settings copy no longer claims indexing reads "the photographs already
thumbnailed above", and the audit line says "to fetch" rather than "awaiting a
proxy", which had become a blocker that no longer blocks.
Verified against the real catalog: the new work list returns 23,308 where the
old one returned effectively nothing. 469 tests pass.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
dtourolleandClaude Opus 5
c8c6368542