24 Commits

Include renames

Author	SHA1	Message	Date
dtourolle	83f4253b6a	Filter the grid to a person with their eyes open ... An "Eyes open" chip beside the people chips, offered only while someone is chosen and dropped when the last person goes, so no term narrows the grid with nothing on the bar to say so. It compiles the rule in dr_face::eyes into the person's face subquery — Anna, eyes open, whoever else is blinking beside her — and drops a frame only on a closed eye that could be read: sunglasses, eyes too small or soft to read, and faces never read all pass, so an old library shows everything under the chip until the measuring pass has run. A test drives the same readings through the SQL and through the rule and requires them to agree. The People screen badges a face "Eyes closed", "Sunglasses" or "Eyes unclear" so the reason a frame is or is not in the grid can be read off the face; the sweep loads the three models when they are beside the pair and reads eyes on the indexing and measuring passes from the native render; the coverage line counts unread faces as work to measure so an already-indexed library keeps its Index button. The term travels with the place.	2026-09-19 14:04:35 +02:00
dtourolle	327decfab1	Fuse every detector's faces into one population per embedder ... Choosing "Thorough" made the library look empty. The detector setting writes under its own faces.model_id, and every reader of "the faces" keyed on that exact id: the clustering pass, the coverage figure, the sweep's work list, the shard export and import, and the sync merge's face matching. On the reference library that restarted coverage at 1,834 of 19,140, drew a People rail of 36 faces for a person with 520, queued a ~400 GB re-fetch on each device, and stranded the desktop's 3,583 confirmations under the old id: the tablet held the same faces under the new one and the merge refused to match them. Same photograph, same box, same embedder, two ids — that is one face, not two libraries. The embedder half of the id is now the key. embedder_of and embedder_sql give it to every query; writes keep the full id, so which detector drew a box stays on record. record_detections is unchanged and is where the generations meet: an image holds one pipeline's faces at a time, and a re-detection carries confirmations across by box overlap. The merge's match_faces applies the same rule within an embedder. The calibration is keyed on the embedder too, since the similarity space did not change. Shards travel every generation, each under its own id, and a peer adopts whichever it is sent — including a stronger detector's pass over an image it indexed itself with a weaker one, which is the re-detection its own sweep would otherwise queue, already done. Never downwards: a tablet on Fast keeps the desktop's Thorough faces. The sweep gains the same tail — images a weaker detector indexed, after the ones nothing has — driven by FaceDetector::supersedes, so choosing a stronger detector still improves the library over time without first making it disappear.	2026-09-19 10:49:28 +02:00
dtourolle	16f3fb41a3	Measure the faces already found rather than finding them again ... Every face stored before its quality was kept holds a unit vector, and V14 forgot the run marker of each image holding one so that the next sweep would look again. Looking again meant detecting again: a whole re-detection per image, with every suggestion on it thrown away and the confirmations carried across by box overlap, to recover one number. The sweep now has a measuring pass between the proxy repair and the un-indexed images. It lists every image holding an unmeasured face, fetches the original once, warps each stored face from the landmarks it already has, embeds it, and writes the raw vector and its length over the old row. Ids, boxes and identities are untouched; the marker is re-written fresh so the sync exports the measured vectors. A face whose landmarks no longer make a warp is dropped, as detection would have refused to store it. `faces_unindexed` leaves those images to the measuring pass, so the V14 deletion no longer costs a second detection.	2026-09-11 21:50:12 +02:00
dtourolle	8b3abdb787	Keep each face's quality, and never compare against a poor one ... The embedder's raw output has a length, and the length is a reading of how recognisable the crop was: a blur, an occlusion or a hard profile comes out short. Normalising threw it away. A short vector sits near the middle of the sphere and matches a little of everyone, which is how one bad crop bridges two people in a grouping pass. So the length is kept — the store now holds the raw vector, re-normalised on load, with the length beside it as `faces.quality` — and a face under MIN_GALLERY_QUALITY (14) is a probe: measured against the gallery and placed where it fits, but never what another face is measured against. Two probes are never paired, and a probe is nobody's evidence for a confidence. The People screen shows the number as "Quality 17.3", dimmed below the floor. Faces indexed before this stored unit vectors and have no reading; they are admitted to the gallery, and schema V14 forgets the run marker of every image holding one so the next indexing pass measures them. A peer's unmeasured shard faces are not adopted, or a sync would write that marker back.	2026-09-11 21:50:12 +02:00
dtourolleandClaude Opus 5	710fcbc1bd	Format the face work with the workspace's own rustfmt ... Not authored in this session. `cargo fmt --all` reformats every crate, so running it while working on `dr-segment` picked up five files from the recent face and library work that had been committed unformatted. Committed on its own rather than swept into the change that happened to produce it: the diff is pure whitespace, and mixed into a commit that alters an algorithm it would be noise in exactly the place someone is trying to read carefully. `cargo fmt --all -- --check` is a CI gate (tools/ci-local.sh), so this had to land somewhere regardless. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-30 21:29:12 +02:00
dtourolleandClaude Opus 5	a1e361e35a	Measure the native path against the one it replaces ... Everything argued for this change so far was read out of a catalog after the fact: crop_px across 18,671 faces the old code had already stored. That is evidence about what the previous implementation did. It is not evidence that the new one does better, and the difference matters because a landmark left in the detector's coordinates, or a box filter with an off-by-one in its source span, would both produce faces that look entirely plausible until somebody counted the pixels behind them. So examples/face_native.rs renders one file and indexes it twice, native and from a 1024 proxy, changing nothing else. Fourteen originals from the reference library, 5472x3648 CR2 and DNG: native 9 faces, mean crop 287px 1024 proxy 5 faces, mean crop 75px Crops 3.8x larger, and across the line that decides whether the crop is photographed or interpolated: 75px is below ALIGNED_EDGE, so the proxy path was upsampling into the embedder on average where this one downsamples into it. Fourteen images and nine faces is enough to show a direction and to catch a wrong scaling; §7b says so rather than quoting the ratio as a library-wide figure. It also corrects something §7b asserted two commits ago. I wrote that detector input resolution cannot affect recall, because §4.1 letterboxes everything to 640. Native found nine faces to the proxy's five, including four on files where the proxy found none, so it plainly can. The two paths differ in their resampling as well as their size, and this experiment does not separate those, so §7b now records the result as evidence for the double-resampling hypothesis rather than as its proof. M4 still owns settling it. The audit-summary test went stale when the ready/to-fetch split was collapsed and is updated to assert the single number, including that the old wording is gone. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-30 19:41:30 +02:00
dtourolleandClaude Opus 5	4af3b93dfa	Index faces from the native render, not from a preview of it ... Implements the FR-CULL-8 written two commits ago. The sweep fetched the JPEG preview embedded in each RAW and used that one buffer for both detection and the crop; it now fetches the original, renders it through the same path export uses, reduces that for the detector, and warps the crop back out of the native frame. Three pieces, and each exists for a reason worth stating. dr_face::Pixels lets the warp sample 8-bit RGBA directly. A 24 MP native frame is 96 MB as RGBA and 288 MB converted to the f32 RGB align.rs was written against, and the warp reads about forty thousand pixels out of it. Converting the whole frame to sample 0.2% of it is NFR-RES-2's budget spent on a copy, per image, for a whole library. The variant costs one branch per sample and a test asserts both layouts produce identical crops. The detector gets a box-filtered reduction to 1600px, not the native frame and not a point-sampled one. Averaging rather than sampling because the detector's job is finding small faces and decimation is precisely the operation that removes them: at 4x, fifteen of every sixteen pixels are discarded and a 40px face survives or not depending on where it falls relative to the sample grid. 1600 rather than 640 leaves the letterbox a mild 2.5x rather than a 9x, and bounds the f32 buffer at 20 MB. Landmarks come back in the reduction's coordinates and are scaled to native in one place before any crop pixel is read. This is the failure mode that would not announce itself -- unscaled landmarks put every crop near the top-left corner, which yields faces of something else, cleanly embedded and confidently clustered. The sweep fetches SWEEP_LANES-wide and renders sequentially. Not a placeholder for a parallel version: there is one GPU, so concurrent renders queue on it regardless, and each materialises a native frame. Overlapping them would multiply the one allocation that threatens the memory budget while buying parallelism that does not exist. The chunk drops from 96 to 6 for the same reason -- 96 held 8 MB previews, this holds whole RAWs. The stored edit is deliberately not applied, which is where this departs from export::render_from_library. Face geometry is normalised to the frame, so indexing a cropped render would record boxes against a frame that changes whenever the user changes their mind, and every stored box would quietly become wrong. Orientation is applied: that is a fact about the file rather than an edit. examples/face_native.rs renders one file and indexes it both ways, so the claim behind all of this can be checked against photographs rather than re-read out of the catalog it came from. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-30 19:41:30 +02:00
dtourolleandClaude Opus 5	9ddc1273c0	Make a sweep that fails everything say so ... A run over 169 images failed all 169, in fourteen seconds, and reported "0 face(s) in 0 image(s)" -- the same sentence a run that indexed nothing because there was nothing to index produces. Three separate places dropped the information on its way to the screen. The progress count only moved on success. FaceSweepMessage had no failure variant at all, so a pass where every image failed sat at 0/169 from the first tick to the last: the receiver was told the total, told nothing, and told the pass had ended. That is indistinguishable from a hung job, and it is what it was taken for. Finished already carried a failed count and identity_ui matched it with `Finished { .. }`, throwing the number away and printing the tidy success line regardless. And the reason each image failed was logged at debug, which is off, so 169 consecutive failures left no trace of why anywhere. Failed { images } now carries the count back per lane batch, the progress counter advances on it, and both the running status line and the finishing activity row say how many could not be read. A batch rather than one message per image because failures come back lane-sized and the useful number is how many. Also renames the store sweep's guard to MIN_CROP_EDGE with the rest of that constant's move, since the two touch the same lines. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-30 19:41:20 +02:00
dtourolleandClaude Opus 5	e7b526c550	Specify face indexing at native resolution, and say what the proxy cost ... FR-CULL-8 said detection runs against the thumbnail or proxy tier and never a full decode, and faces.md §5 said the aligned crop is sampled from that same proxy. Both are wrong in the same place: they treat detection and cropping as one resolution problem when they are two, with opposite answers. Detection does not care. §4.1 fixes the graph's input at 640x640 and letterboxes whatever arrives, so a face filling 2% of the frame reaches the model at 12px whether the buffer handed over is 1024px or 6000px. Every pixel above the detector's own input is discarded before inference. The crop cares about nothing else. §5's warp produces the fixed 112x112 ArcFace sees, so source resolution converts directly into whether those 112 pixels were photographed or interpolated. Reading crop_px across the 18,671 faces the proxy-tier implementation stored: 47.3% were upsampled to reach the embedder, 314 of them by more than 2x, the smallest from 34 source pixels. An upsampled crop does not fail loudly -- it yields a confident embedding of detail that was never there, and the damage appears three stages later as clusters that will not separate. So FR-CULL-8 now specifies four stages with the resolutions named separately: render native through FR-EXP-9's pipeline, downscale for the detector, map boxes and landmarks back to native, crop and align from the native render. The affordability the old rule bought is met instead by when the pass runs -- background, preempted, resumable -- and the requirement says plainly what it now costs on a remote library: the original rather than FR-NC-3's byte range, 412 GB across the reference library's 19,107 images, so a whole-library pass is a transfer under FR-NC-6 rather than something that may start on its own. MIN_CROP_EDGE replaces the MIN_DETECT_EDGE this branch briefly had. Same number, guarding the quantity that turned out to matter. faces.md §7b records both measurements, and marks the second as unexplained rather than dressing it as a finding. Grouped by the buffer detection ran against, faces per image was 0.078 at 1024 or below and 1.82 at 2048 or better, controlled for file type and size. That gap is real and reproducible and I cannot account for it, because the letterbox above says detector input should not matter. M4 is where it gets settled. The crop measurement does not depend on it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-30 19:41:20 +02:00
dtourolleandClaude Opus 5	41c655c176	Stop the local-store pass pretending it can still index ... spawn_store_face_sweep detects on what the thumbnail store holds, and the store's largest tier is FACE_TIER -- 1024, which the floor now refuses. Left alone it would list every outstanding image, decode every proxy it had, and report every single one as failed: twenty thousand refusals all saying the same thing, with the real explanation buried at debug level. There is no repair available inside this pass. It has no larger tier to read; the pixels the detector needs have to come off the server, which is spawn_face_sweep's job and always was. So the honest behaviour is to check the tier against the floor once, say plainly which pass to use instead, and stop. It is only reached from examples/face_index.rs, so this costs the tool its --run mode and no shipped behaviour. FACE_TIER keeps its value and loses its meaning. It is now the tier a stored crop is *cut from*, which 1024 is entirely adequate for -- the face has already been located and the crop only has to be looked at -- and no longer the tier faces are *found* on, which is the thing that was returning 0.078 faces per image. IndexAudit's ready/awaiting_proxy split goes the same way. It existed because one of the two passes could only do images that already had a proxy; now that detection refuses that proxy's size, both halves cost the same fetch, and a status line reading "169 ready to index" implies a distinction that no longer decides anything. One number. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-30 19:41:04 +02:00
dtourolleandClaude Opus 5	d0ebc9f571	Count the same images in the progress figure that the sweeps index ... The Identity screen said 4,593 images were left to index and stayed there for hours across repeated runs, which is what a stuck job looks like. It was not stuck. 4,424 of those 4,593 are shadowed -- the JPEG half of a RAW+JPEG pair -- and no sweep will ever index one, because every work list is built on VISIBLE, which excludes them. They are not separate photographs and the grid does not show them either. But faces::coverage counted them: its denominator was "images WHERE trashed_at IS NULL", with no shadowed_by clause. So the outstanding figure had a floor of 4,424 that no amount of work could bring down, and Coverage::is_complete could never once return true no matter how completely the library had been indexed. A progress number that cannot reach its own target is worse than no progress number. The fix is to count the population the sweeps actually draw from, in all three places that were describing it differently: coverage's denominator and its indexed join, and audit's split of the outstanding set, which had the same gap and fed the same status line. On the reference library the denominator goes from 23,531 to 19,107 and outstanding from 4,593 to 169 -- the second of which is a number the user can watch go down, and which turns out to be a real and separate fetch failure worth chasing. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-30 19:41:04 +02:00
dtourolleandClaude Opus 5	d0b671d4db	Put the grouping dials where the regrouping is ... The merge probability was `dr_face`'s constant and the smallest group was a bare `< 2` in the clustering pass. Both were tuned on one library — 1,813 faces of one photographer's family — and the quantity they optimise is a property of the population, not of the model. A household at close family resemblance and two thousand strangers at a wedding want different answers, and neither of them is the reference library. The doc comment already conceded the point and pointed at `face_index --tune`; a photographer does not have a terminal. So they are `FaceSettings` now, saved per device beside the cache budgets and edited from the People screen — beside the Regroup button that applies them and the rail that shows what they did, because a value changed three screens away from its effect is one nobody can tune. Moving them is safe by construction, which is why nothing asks for confirmation: a regroup writes only the suggested half, and confirmations, names and ignores enter as anchors and come back unchanged. The smallest-group rule is applied only to groups the system invented — a group the user named or set aside survives it whatever its size, because a display preference does not overrule a judgement. **Withdrawal, without which the setting does nothing visible.** Raising the smallest group stops the pass creating small groups; it does not remove the ones a previous pass made, because those still hold their suggestions, so they are not empty, so the prune leaves them. The pass now releases every unanchored face it did not place before pruning. And a dial you cannot see the effect of is not a dial. "What would this do?" runs the same population through the clusterer without opening a transaction and reports groups, faces grouped and largest group — one row of `--tune`'s table, on the user's own library, on a worker thread. The line leads with the group count because that is the number that says which side of the right setting you are on: it climbs as fragments are gathered into people and falls as separate people start being welded, while the grouped-face count rises straight through both. The preview parks its poll timer in a slot of its own. A preview and a regroup are allowed to be in flight together, and sharing the sweep's single slot would have the second to start drop the first's timer — visible as a Regroup that finished on its worker and never said so. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-29 23:18:46 +02:00
dtourolleandClaude Opus 5	da20d42d33	Merge master: pluggable storage, and a name that anchors ... Conflicts were docs/traceability.md alone, and it is generated — so it was regenerated rather than hand-merged. dr-face was untouched on the other side; ui/dr-ui/src/faces.rs and identity_ui.rs auto-merged, the first around recluster's anchoring and the second around load_faces. Worth recording because the two branches met on the same problem from different ends. Master's "Let a name hold a group together" is the fix for the sixteen Catherines — fourteen of them empty — that this branch found while measuring the library and reported without fixing. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-29 12:30:01 +02:00
dtourolleandClaude Opus 5	ebb7d3cf5c	Score a suggestion against the people the user has named ... The number beside a suggestion was the mean calibrated probability between the face and the rest of its group, which measures the wrong thing twice. It punishes coverage: a person with two hundred faces over fifteen years is *meant* to have members a given photograph is orthogonal to, so a correct suggestion onto a well-photographed person scored low for being well photographed. And it never asked who else the face might be — a face matching Anna at 0.95 and nobody else, and one matching Anna at 0.95 and her sister at 0.93, came out identical, when the second is the only one worth the user's attention. dr_face::assign answers both, and multiplies them: the mean of the best ten calibrated matches into the identity (the old mean, capped, which is what stops coverage counting against it), times that identity's share of the evidence against every *named* rival. Only named people compete, and per person rather than per group. Both halves of that had to be measured on a real 18,000-face library rather than reasoned about. Normalising across every group made the number useless — median suggestion 21%, four in five under half — because clustering leaves one person spread over many groups, so a face competed against itself; and keying rivals by group left Catherine competing with Catherine, median 39%. Per named person: median 99.5%. Rivals are gathered below the merge threshold, down to even odds: a named person matching at 0.6 will never be merged into but is exactly the competition to discount for. That would be a second similarity scan, the expensive half of regrouping a library, so cluster_scored scans once at the looser floor and hands the merge engine the subset at or above the threshold — pair for pair what it would have scanned for itself, held to that by a test. Leave-one-out over that library's 2,702 confirmations across 54 named people: 99.33% of faces placed on the right person against the old mean's 99.15%, and the number shown for the right person moves from a median of 90.4% to 99.3%. It errs low — 100% correct wherever it states 80% or more — which is the safe direction, and docs/faces.md §9.1 says plainly that the low bands are not calibrated. The example that measures it comes too: this is a claim about a library's numbers, and nobody should have to take it on faith. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-29 10:44:01 +02:00
dtourolleandClaude Opus 5	1b8b7998a2	Let a name hold a group together, the way a confirmation does ... Sixteen people called Catherine, fourteen of them holding no faces at all, and her actual photographs split across the two that did. That is not a sync fault; it is this function, and it has been quietly doing it on every Regroup. Naming a cluster does not confirm its faces. They stay *suggestions* — and only confirmed faces anchored here, so the next pass cut them loose, regrouped them into a brand new person, and left the named one holding nothing. `prune_empty_unnamed` will not clean that up, because it has a name. Name the new group the same thing, and it happens again. Repeat over a few sessions and you have sixteen of her. A name is a judgement about *this group*, of exactly the kind FR-CULL-12 says travels and inference does not — the same argument that already anchors a group the user set aside. So all three kinds of ruling anchor now: confirmed, ignored, and named. It also fixes the quieter half of the same fault. A face indexed later that matches a named person now merges *into* them, rather than arriving as a rival group the user has to name all over again. Two tests, and the first fails without the change — it reports "Catherine" finishing the pass with zero faces while a fresh unnamed person holds the two she was named for. This does not retro-fit an existing library: the fourteen empty Catherines stay until they are merged by hand, and the two holding faces are separate identities that only the user can say are one person. What it stops is making more. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-29 09:48:32 +02:00
dtourolleandClaude Opus 5	41daa4cca7	Keep a group set aside actually set aside ... "Not interested" hid a group, and the next Regroup brought it straight back. Reclustering anchors the faces the user has ruled on so a pass cannot move them. It took *confirmations* as the only kind of ruling — but setting a group aside is a ruling too, and the faces it covers are only ever suggestions. So an ignored group's faces entered clustering loose, regrouped into a fresh person that carried no ignore flag, and reappeared in the rail. The original group was left behind holding nothing, hidden and empty. Anchoring them on `ignored` as well as on `confirmed` fixes it, and does one better: a face indexed later that matches a group which was set aside now merges *into* it, so a stranger photographed again stays set aside instead of arriving as somebody new. That is the case that would otherwise have made the feature feel like it only half worked. Three tests, and the first fails without the change — it reports the group coming back with its two faces while the original sits ignored and empty. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-28 08:30:16 +02:00
dtourolleandClaude Opus 5	a1790c3e67	Stop indexing faces too small or too blurred to be anyone ... The library was storing faces at 52 source pixels and embedding whatever came back. There was a size floor, but it was 40 pixels on the *bounding box*, and there was no blur gate at all — so a subject walking through a half-second exposure detected confidently, aligned cleanly, and produced a perfectly ordinary-looking 512-vector. Nothing downstream can tell that apart from a real face, and because blurs resemble each other more than they resemble the people they were, they cluster together and weld unrelated identities into one group. Two floors, both measured rather than guessed. `face_index --quality` runs the detector over real proxies with both gates disabled and prints the distribution; over 1,503 faces in 600 images of the reference library: percentile crop px sharpness 1% 16 0.0006 25% 23 0.0025 50% 38 0.0071 75% 76 0.0284 99% 352 0.4282 The median face in a personal library is 38 pixels. Most of what the detector finds is background: people across a square, a face on a poster, a stranger at the next table. They are real detections and useless identifications. **Size, on the crop rather than the box.** "At least 64x64" has to mean the pixels the *embedder* sees, and the box is not that — the ArcFace template reaches past it for forehead and chin, so the aligned crop spans roughly 1.3x the box's shorter edge. The floor is therefore `min_source_px` on the aligned crop, applied after the warp fixes the scale, and `min_face_px` drops to 48 as what it always really was: a cheap pre-filter set low enough that it cannot reject a face the real floor would have kept. **Sharpness.** Variance of the Laplacian divided by the variance of the luma it was taken over. The division is the part that matters: raw Laplacian variance scales with contrast, so a threshold on it would quietly discard every backlit portrait in the library. The ratio asks how much of the crop's variation is edges rather than broad gradients, and is invariant to exposure. What each pair removes, cumulatively, of everything the detector finds: min crop min sharp size cut blur cut kept 64 0.000 70% 0% 30% 64 0.010 70% 3% 27% 64 0.020 70% 7% 23% 80 0.010 76% 2% 21% 64 and 0.020. The size floor does most of the work, and the blur floor removing only 7% on top of it is the point rather than a disappointment: at 64 pixels most faces are already sharp, and what it takes out is the large-but-soft one — precisely the face that would otherwise contribute a confident, wrong embedding. The two gates are not independent and the doc comments say so: a face under 112 pixels was upsampled to reach the embedder, and upsampling invents no edges, so small faces score low on sharpness even when the original was crisp. That is why `--quality` prints them together. **This will re-index.** Around 70% of what the current settings store falls below the new floors — faces between 20 and 40 pixels that nobody could identify. The People screen gets shorter and every group in it gets better. 66 dr-face tests pass, including that a blurred crop scores below a sharp one, that halving the contrast does not move the score, and that an upsampled face scores below the same face at full size. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-27 22:17:38 +02:00
dtourolleandClaude Opus 5	d6380fecc8	Make the People screen a place work can be done ... Five faults, all on one screen, and the Slint and Rust halves of each have to land together. **Regroup froze the window.** It ran inside the Slint callback, on the UI thread. It is much faster now, but fast is not bounded — the work grows with the library, and the one thing that must not grow with the library is how long the window stops answering. It runs on a worker thread with an mpsc channel and a 250ms poll, like every other long pass in this module, and the button says what it is doing instead of the window going quiet. Cancellation is dropping the receiver. Reclustering also prunes the empty groups the previous pass left, so pressing the button twice no longer fills the rail with "Unnamed (0 faces)". **The faces were a single row running off the screen.** The comment on the layout claimed to be a wrapping row; Slint has no flow layout and a HorizontalLayout does not wrap, so a person with forty faces was a person whose faces could not be reviewed past the fifth. It is now laid out the way the library grid lays out thumbnails, with the same arithmetic: choose how many columns of roughly the requested size fit, then divide the width between them so the cells fill the row exactly and nothing overhangs. **The header did not fit a phone.** A 240px name field beside five buttons is wider than an Android screen — and worse than not fitting, a layout cannot be narrower than its children's minimums, so the row reported that oversized minimum upwards and inflated the whole screen. The faces grid is its sibling, so it would have been measured against a width that was never on the display. The header is now two rows, the actions sit in a Flickable that scrolls rather than overflowing, and the rail narrows to 132px on the compact class. **Strangers crowded out the people who matter.** Most clusters in a real library are passers-by and other people's guests. "Not interested" sets a group aside; the rail hides it and says how many are hidden, with one button to bring them back. Reversible, and never a deletion — see the catalog commit for why. **A face was a dead end.** Identifying someone and then having no way to see their photographs is a filing cabinet with no drawer handles. "Show photos" narrows the library grid to that person and leaves a chip on the filter bar saying so, which is also how it is cleared. It is a term on `RatingFilter` rather than a grid scope of its own, exactly as that struct's own doc says new narrowing terms should be — so the count and the cells are narrowed by the same thing, and it composes with the others for free. Suggested faces count, not only confirmed ones, or a freshly grouped person would show an empty grid. Crops are read from where they are now stored, falling back to cutting one out of the proxy for faces indexed before that existed. 480 tests pass. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-27 21:21:31 +02:00
dtourolleandClaude Opus 5	c8c6368542	Index the whole library by fetching what it has not seen ... "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>	2026-08-27 18:51:53 +02:00
dtourolleandClaude Opus 5	b846b312b8	Run the formatter over the face branch before it reaches CI ... The merge of the SCRFD/MobileFaceNet work brought 69 rustfmt diffs across dr-catalog, dr-face and dr-ui with it, so `cargo fmt --all -- --check` fails on master and the Desktop job stops at its Format step — before clippy, the tests or the release build have run at all. That makes the whole desktop half of CI blind: a real compile error behind this would look exactly the same from the outside. There was nothing behind it, as it turns out — with the formatting fixed, clippy, the test suite and the release build all pass. Every .rs hunk is `cargo fmt --all` on the pinned 1.92.0 toolchain, not a hand edit, but it is worth being precise about what that moved, because it is more than whitespace. Besides reflowing signatures and call chains, rustfmt reordered the `pub mod` and `pub use` items in dr-face/src/lib.rs so the `#[cfg(feature = "inference")]` entries sort in place, added the trailing semicolon inside `let ... else { return }` bodies in identity_ui.rs, wrapped a bare closure body in braces in cluster.rs, adjusted trailing commas, and dropped a stray blank line at the end of identity_ui.rs. All of it is semantically inert; none of it changes behaviour. docs/traceability.md rides along because it has to. The matrix records each TRACES tag by line number, and reflowing develop.rs, lib.rs, faces.rs, identity.rs and identity_ui.rs moved them — FR-CAT-8, FR-CAT-9, FR-CULL-10, FR-DEV-3, FR-DEV-3a and FR-DEV-3c all shift by a line or two. The matrix was verified up to date on d777f7f before this commit, so this is drift these formatting changes introduced, not pre-existing staleness being swept up. Leaving it for a follow-up commit would hand traceability-check.yml a failure caused entirely by a whitespace change. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>	2026-08-27 13:12:49 +02:00
dtourolleandClaude Opus 5	f00b92a0e6	Turn face boxes back into sensor space before matching regions ... Faces are found on the thumbnail, which is cached the right way up -- the grid would lie on its side otherwise. Segmentation runs on a proxy rendered through a neutral edit graph, which carries no orientation and is therefore in sensor order. For anything shot in portrait the two differ by a quarter turn, so a face and the person containing it were being compared in spaces 90 degrees apart: no match, or worse, a match against somebody else's region. The transform goes on the face rather than on the proxy. Instance masks are defined in the proxy's space and sampled long afterwards, so turning that space would be a far larger change than naming a region warrants. Also two things the first screenshot of the running app showed that no test would have: 110 of 23,528 displayed as "0%", which reads as the feature having done nothing. One decimal below ten percent, and a floor so real progress never shows as none. The rail picked some near-black covers, because the largest face in a group is often the nearest one in a badly lit frame and a black square beside a name identifies nobody. It now cuts the best few and takes the first legible one, falling back to the largest when a person's every photograph is dark -- which happens, and showing it beats showing nothing. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-26 23:28:52 +02:00
dtourolleandClaude Opus 5	26a1eb7e28	Record that face detection has run, not just what it found ... An image with no faces in it was indistinguishable from one that had never been looked at, so every landscape, still life and document scan in the library was re-detected on every pass, for ever. In a real library that is most of it: on the 23,527-image test library, 64 of the first 110 images indexed contain no face at all. Schema v9 adds face_index, a run marker per (image, model) carrying the face count and the proxy edge it read. Keyed on the model, so a model change puts every image back in the queue by itself. That makes a coverage figure possible, which is the thing a user actually wants to see. The audit also splits the outstanding set by whether a proxy exists, because 23,417 awaiting a proxy and 110 ready to index are different problems, and telling the user to run indexing again would not fix the first. The Identity screen gains Index faces, Stop, and the coverage line. examples/face_index.rs is the same check and sweep without a window, which is the right shape for an overnight pass. Measured on the real library in release: 3.5 images/second, 110 images and 125 faces in 30 seconds, and a second run correctly finds nothing left to do. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-26 22:13:41 +02:00
dtourolleandClaude Opus 5	10b10569e2	Add the Identity screen ... A third top-level screen beside the library and develop, because naming a cluster and pulling a stranger out of it are tasks with their own rhythm and need the whole window. The screen is designed around the clustering being wrong, which is FR-CULL-10 rather than pessimism: grouping over-merges on siblings, on parents and children, and on the same person a decade apart. So Split off sits next to Confirm all rather than behind a menu, the confirm/reject pair is on the face itself, and a group the system found is drawn differently from a person the user has vouched for. Splitting rejects before it confirms. Without that the next clustering pass suggests the face straight back and the user's correction becomes an argument they keep having. Face crops come from the proxies the grid already built, one decode per image rather than per face -- a group photograph holding six faces of one family is one JPEG. Where the calibration is not fitted the screen says confidence is unavailable instead of printing a percentage that looks measured, which is FR-CULL-9's rule at the point it becomes visible. The verdict controls use drawn icons, not tick and cross characters: ui/icons.slint exists because those render as tofu on Android. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-26 21:05:41 +02:00
dtourolleandClaude Opus 5	2ac069a6b3	Index the library's faces, and group them into people ... Wires dr-face to dr-catalog: a background sweep that reads the proxy the grid already built, detects, aligns, embeds and stores, then a clustering pass that turns those embeddings into suggested people. Detection runs on the Large thumbnail tier and nowhere else. That is what makes the feature affordable -- a browsed library has already paid for its proxies, so face indexing adds no RAW decode that was not already happening -- and it is why an image whose proxy is missing is skipped rather than fetched: requesting one here would put face indexing on the network path FR-CULL-8 keeps it off. The sweep keeps no cursor. It asks the catalog what is missing, so it resumes after process death with no repeated work beyond the in-flight image, and cancelling is dropping the receiver. recluster writes only the suggested half. Confirmed faces go in as anchors and come back untouched, and a cluster of one stays nameless -- naming every stray face would fill the People view with noise the user then has to dismiss. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-26 20:49:30 +02:00