Commit Graph
47 Commits
Author SHA1 Message Date
Jens b996986d20 Upgrade async GPU analysis and workbench UX 2026-08-23 21:50:11 +02:00
JensandClaude Opus 5 f567a459b0 Laat een kapot paneel geen kapotte applicatie meer zijn
Er was nergens een error boundary: geen componentDidCatch, geen
getDerivedStateFromError. Eén component die gooit nam de hele werkbank mee,
inclusief de kaart en de navigatie. Nu blijft de schil staan, ziet de gebruiker
welk werkblad het liet afweten, en wist wegnavigeren de fout.

Daarnaast een patroon dat op zeven plekken half was toegepast: een optionele
keten die te vroeg stopt. report?.items?.filter(...) stond geguard, twintig
regels verderop stond report.items.map(...) zonder. Half geguard is de
eigenlijke fout, want het wekt zekerheid zonder die te bieden. Waar de lijst op
meerdere plekken gebruikt wordt staat nu één normalisatie aan de kop.

De brondetails hadden geen enkele afhandeling en werden met .catch(() => null)
overgeslagen; die melden nu wel. De overige elf catch-blokken bleken bovenop
hooks te staan die de fout al zelf opvangen en tonen, wat ik heb nagemeten door
een verzoek te laten mislukken.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-23 15:00:08 +02:00
JensandClaude Opus 5 438d0ec083 Voer de visuele audit door: fundament, donkere werkstand, kaart en schil
Achttien bevindingen uit de audit, met de metingen erbij in de betreffende
CSS-secties.

Fundament. Dertien tokens werden op 87 plaatsen aangeroepen zonder ooit
gedefinieerd te zijn; in de browser gaf getPropertyValue('--gi-text') een lege
string terug, dus die kleurregels vielen terug op overerving. Vorm en hoogte
zijn terug naar de schaal: radius via token van 17% naar 81%, unieke schaduwen
van 115 naar 71, losse kleurwaarden van 928 naar 352.

Typografie. De stylesheets declareerden negen gewichten terwijl er per familie
twee gezichten geladen werden, en font-synthesis-weight: none verbiedt
namaakvet. Alles van 650 tot 850 kwam dus als 600 op het scherm: 138 van de 148
declaraties rendereden identiek. Nu vier stappen die alle vier ook geladen
worden, en Manrope draagt de koppen zoals op de landingspagina.

Donkere werkstand. De werkbank staat tegen luchtbeelden aan; een lichte schil
daarnaast laat de kaart altijd verliezen. De landingspagina blijft licht.

Kaart. De ondergrond wordt ontkleurd en gedempt zodat alleen de eigen data nog
kleur draagt, en de symbologie staat niet langer als losse hexwaarden in
GeoMap. De zes zwevende vlakken zijn er drie: statuskaart, staprail en
resultaatchip bleken al één component te zijn die de opmaak over drie hoeken
van de kaart uiteentrok.

Schil. Eén kopbalk in plaats van drie (215px chroom naar 100px), het raster van
AI-vragen zonder botsingen, kapitalen op één niveau in plaats van 57
declaraties, en het leverancierslogo uit de navigatiebalk.

Van 47 echte !important naar 1, gemeten door telkens twee productiebuilds op
berekende stijlen te vergelijken. Contrast: nul tekstelementen onder AA op zes
werkbladen, in beide werkstanden.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-23 14:59:45 +02:00
JensandClaude Opus 5 5c509ca2a9 publish the accuracy that was measured
GeoIntel release gates / Compile, test, contracts and builds (push) Failing after 29s
GeoIntel release gates / Python and npm vulnerability policy (push) Failing after 22s
GeoIntel release gates / GIS image, SBOM and container scan (push) Failing after 2m57s
The recommended detection profile showed operators precision 0.614, recall
0.606 and F1 0.607. Those three numbers appear nowhere in this repository
except the file that publishes them and a test that pinned them as literal
strings. The only recorded evaluation of that model at that operating point —
tile 512, overlap 64, threshold 0.15, the exact key its promotion report
recommended — reported 0.590, 0.577 and 0.582. The published figures were about
two and a half points more flattering than anything that was measured, on the
profile labelled "aanbevolen", and the test made sure nobody would correct
them. They now carry the measured values.

Worse in kind: the conservative profile reported "gemeten achtergrondfouten 0".
Its nine-sample hard-negative matrix at threshold 0.35 recorded 198 background
detections with 55 in the worst sample. The one number that tells an operator
whether a high-precision model invents buildings on empty terrain said zero
where the evidence said 55.

Those zeros are not simply wrong everywhere, which is why the fix is not just a
number. The other two profiles genuinely produced zero — against a strict
pure-empty gate of three samples, a different and much weaker test than the
nine-sample hard-negative matrix. Printing 0, 0 and 55 side by side invites a
comparison the evidence does not support, so each profile now states its gate,
its background sample count and the evaluation behind its figures, and the
panel shows them.

A test refuses any published figure that does not appear in the evidence
record, with a negative control so it cannot pass by matching nothing. Pinning
the numbers as literal strings is what let an unsourced precision survive; that
assertion is gone.

Also ignoring .codex-artifacts/ — ~300 MB of the rejected SAM2 and
edge-alignment trials plus a deploy bundle. Kept on disk, out of the repository.
No credentials in it; the two token scripts generate from settings.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-23 00:51:53 +02:00
JensandClaude Opus 5 2cd2c49389 calibrate a confidence threshold from one inference pass
Threshold calibration ran the model over every tile once per threshold — three
GPU passes to compare 0.50, 0.25 and 0.15 on a hundred-tile raster. The answer
is already in a single run at the lowest value: detections above a higher cut
are a subset of it, and duplicate suppression walks candidates in descending
confidence, so a lower-confidence box can never displace a higher-confidence
one. The kept set above any cut is identical whichever threshold the run used,
which is what makes one pass sufficient rather than merely cheaper.

QA now takes calibration_thresholds and reads each operating point off the same
precision/recall walk it already performs, marking the F1-optimal cut. The lab
runs inference once and fills its table from the sweep.

The contract test asserted the per-threshold loop by name, pinning the waste it
was meant to describe. It now states what calibration owes an operator: a row
per requested threshold, from one run.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-22 19:37:19 +02:00
JensandClaude Opus 5 5b3839dc89 page detection and segmentation results instead of returning all of them
/detection/runs/{id}/detections and its GeoJSON sibling returned every
persisted detection, as did the segmentation equivalents. A regional run holds
tens of thousands, and these are the endpoints the results table and the map
overlay call after every run.

They now take limit and offset, default to 2.000, and report total, limit,
offset and truncated so the complete population stays visible while what is
transferred does not. The GeoJSON responses carry the same window in a
geointel_result_window foreign member.

Rows are ordered by confidence, so a capped overlay draws the strongest
detections rather than an arbitrary slice, and the lab says how many of how
many are being shown rather than silently presenting a page as the whole run.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-22 15:24:46 +02:00
JensandClaude Opus 5 b146b2143d surface the new analysis caveats in the workbench
The backend now says when a result covers a different area than was drawn, or
when a score belongs to one confidence cut only. None of that helps an
operator while it stays in the response body.

- the raster selection adapters carry the model-coverage and widened-cell
  warnings into the map panel and mark the result an estimate when either
  applies, so an existing warning slot renders them;
- the map workspace shows the selection-edge disclosure next to the object
  count;
- the detection panel shows average precision and the F1-optimal threshold
  beside the single-threshold figures, and the box-versus-footprint
  interpretation when candidates are detector boxes.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-22 14:33:54 +02:00
Jens b76cd1837b fix(ai): bind model scope to immutable geometry
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2026-08-09 10:54:52 +02:00
Jens dfcc11b0d5 Expand scoped demo analysis access
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2026-08-01 16:00:13 +02:00
Jens 96db4c966d Overhaul GeoIntel model selection and map UX 2026-08-01 15:18:06 +02:00
Jens 0cd84fa5c5 Complete GeoIntel visual system and portfolio case study
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2026-07-28 11:10:35 +02:00
Codex cee6cd05ae feat: complete Wallonia land cover and terrain sources
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2026-07-22 06:28:46 +02:00
Codex 0aff8e3b8c feat(scope): make Belgium and North Sea operational default
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2026-07-22 02:11:48 +02:00
Codex 75ab8f64ab Finish audit UI and live validation closure
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2026-07-17 14:36:55 +02:00
Codex 78a5f0b0b2 Close full operational audit findings
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2026-07-17 14:19:02 +02:00
Codex a29c787238 Complete operational map result workflow
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2026-07-17 12:35:50 +02:00
Codex ecc9f77732 docs: record fail-closed accuracy challenger
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2026-07-15 05:42:17 +02:00
Codex 845c4696e7 fix: clarify active AI result context
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2026-07-15 00:44:59 +02:00
Codex 2f9898bc82 feat: guide raster building analysis workflow
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2026-07-15 00:19:38 +02:00
Codex b50b250f72 feat: simplify regional workbench language
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2026-07-14 23:15:50 +02:00
Codex 36d6a92825 fix: polish live regional workbench labels
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2026-07-14 21:48:51 +02:00
Codex b5bcd9b041 feat: simplify regional end user workbench
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2026-07-14 21:40:32 +02:00
Codex d7eadbc6ca fix: harden release checks for grouped routes
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2026-07-14 11:41:16 +02:00
Codex 948e50b5e1 feat: scope detection QA to inference coverage
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2026-07-14 11:25:28 +02:00
Codex a2d9cef986 Refine premium workbench UX
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2026-07-14 05:10:36 +02:00
Codex d188014be2 Compact detection source tile rows
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2026-07-13 13:38:18 +02:00
Codex 4455e242c6 Harden detection result review
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2026-07-13 13:31:43 +02:00
Codex 1689dce928 Promote focused small-building detector
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2026-07-13 12:15:27 +02:00
Codex 1c16313ae6 Promote expanded building detector profile
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2026-07-13 02:21:42 +02:00
Codex b1a4074cc8 Add guarded promoted YOLO activation
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2026-07-11 10:45:06 +02:00
Codex 90048ffb4a Add detection operator profiles
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2026-07-09 20:19:10 +02:00
Codex 8089df3504 Add calibration summary export
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2026-07-08 13:31:11 +02:00
Codex 0c826ef736 Link calibration rows to QA evidence map
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2026-07-08 13:23:42 +02:00
Codex c0bebd609b Add guided detection calibration runner
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Codex 0e182ad69d Add detection threshold calibration comparison
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2026-07-08 12:33:07 +02:00
Codex 46204edbf4 Harden raster detection manifest handoff
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2026-07-08 12:04:21 +02:00
Codex 0ed71c6f1e Harden detection model asset selection
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2026-07-08 04:03:50 +02:00
Codex 6e2a8cbdc4 Add local model asset catalog
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2026-07-06 20:59:03 +02:00
Codex 7aa9382c9e Surface YOLO preflight in Detection Lab
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2026-07-06 10:52:26 +02:00
Codex 0bc3b2f2e3 Add AI lab action guardrails
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2026-06-24 23:59:25 +02:00
Codex 98fff63a97 Add AI lab run readiness panels
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2026-06-24 23:47:55 +02:00
Codex aaf1299a5d Improve useful default workbench context
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2026-06-22 23:19:35 +02:00
Codex 5544c92006 Polish AI Labs density
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2026-06-20 22:55:35 +02:00
Codex b3d1a1a5ee Polish workbench result states
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Codex 6fa41e11e4 Polish workbench visual shell
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Codex a3df753732 Polish workbench workspace usability
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Codex 6ea3586a3e Initial GeoIntel V1 foundation
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