Release: Explore diversification, model-swap, Camie/centroid retirement, tag-API, crop proposers #155

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bvandeusen merged 10 commits from dev into main 2026-06-30 16:06:13 -04:00

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bvandeusen commented 2026-06-30 16:06:06 -04:00

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Promote dev→main (all green on dev). Batch since the last release:

• Explore diversification (#1188) — pHash dedup + MMR so neighbours span clusters.
• Operator model-swap flow (#1190) — embedder is a setting; GPU agent re-embeds; SigLIP 2 (so400m-patch16-512) is a 1152-d drop-in. Migration 0065.
• Centroid removal + Camie/allowlist retirement (#1189) — heads + CCIP are the tag source; accept applies to the image only (no allowlist fan-out). Migrations 0066, 0067.
• Dead-settings hygiene (#1199) — drop inert tagger/suggestion columns. Migration 0068.
• Agent tag-analysis API (#1136) — /api/tags/top, /api/tags/<id>/stats.
• Crop proposers (#1202) — agent gains booru_yolo anatomy + COCO-person merge + comic-panel detectors feeding the SigLIP bag (ultralytics; weights defaulted, self-disabling).
• Agent redeploy-survival (earlier).

Deploy: force re-pull web/ml :latest (runs migrations 0065→0068); then agent docker compose pull && docker compose up -d (new image bundles the detectors). Migrations are additive/drops, no data migration risk.

🤖 Generated with Claude Code

Promote dev→main (all green on dev). Batch since the last release: - **Explore diversification** (#1188) — pHash dedup + MMR so neighbours span clusters. - **Operator model-swap flow** (#1190) — embedder is a setting; GPU agent re-embeds; SigLIP 2 (so400m-patch16-512) is a 1152-d drop-in. **Migration 0065.** - **Centroid removal + Camie/allowlist retirement** (#1189) — heads + CCIP are the tag source; accept applies to the image only (no allowlist fan-out). **Migrations 0066, 0067.** - **Dead-settings hygiene** (#1199) — drop inert tagger/suggestion columns. **Migration 0068.** - **Agent tag-analysis API** (#1136) — `/api/tags/top`, `/api/tags/<id>/stats`. - **Crop proposers** (#1202) — agent gains booru_yolo anatomy + COCO-person merge + comic-panel detectors feeding the SigLIP bag (ultralytics; weights defaulted, self-disabling). - Agent redeploy-survival (earlier). **Deploy:** force re-pull web/ml `:latest` (runs migrations **0065→0068**); then agent `docker compose pull && docker compose up -d` (new image bundles the detectors). Migrations are additive/drops, no data migration risk. 🤖 Generated with [Claude Code](https://claude.com/claude-code)

bvandeusen added 10 commits 2026-06-30 16:06:06 -04:00

fix(explore): diversify "more like this" so it stops getting stuck (#1188) ... 0f472b2f9e

Pure nearest-cosine piled near-identical images into the neighbour grid — a
reposted banner filled all 24 slots, and once you wandered into a B&W /
comic-panel cluster every neighbour was more of the same with no way back to
colour without the Random button (operator-reported, with screenshot).

similar() now over-fetches a wide candidate pool (5x the requested limit, cap
200), then diversifies down to `limit`:
- pHash near-duplicate collapse: drop candidates within 6 Hamming bits of the
  anchor or an already-kept candidate, so a repost (and the anchor's own clones)
  appears at most once.
- MMR re-rank: greedily pick for closeness-to-anchor minus similarity-to-already
  -picked (lambda 0.55), so the result SPANS clusters instead of returning 40
  variations of one image. Falls back to nearest-order on any failure / small
  pool, so existing nearest-first behaviour is unchanged when there's nothing to
  diversify.

Frontend forwardTarget drops the now-redundant skip-nearest-third hack (the list
is already diversified server-side) — plain random-over-unvisited gives the
variance now.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

feat(ml): operator model swap — GPU re-embed + embedder as a setting (#1190) ... 4daa3f2790

Make the SigLIP embedder an operator choice (drop-in to SigLIP 2:
google/siglip2-so400m-patch16-512 is a verified 1152-d model at 512px → no
schema change, better small-cue fidelity). A swap = set model + re-embed +
retrain, all operator-driven; the GPU agent does the re-embed so it's fast.

- settings: embedder_model_name is now a setting (migration 0065) alongside the
  existing embedder_model_version; both editable + validated (non-empty) in the
  ml admin API. The server embedder loads by HF name (AutoImageProcessor/Model,
  model-agnostic), preferring the pre-downloaded local dir for the default so
  existing deploys don't re-download; rebuilds on a name change.
- agent: new 'embed' job = whole-image SigLIP embedding (mean-pool video frames)
  under the lease-announced model → POST /jobs/submit_embedding writes
  image_record.siglip_embedding + siglip_model_version. The lease now announces
  the model FROM THE SETTING (not a constant).
- re-embed routing: enqueue_gpu_backfill('embed') selects unembedded + stale-
  version images; 'siglip' now re-embeds concept crops whose version != current
  (so a swap re-triggers crops, not just the never-embedded back-catalogue). The
  CPU ml-worker backfill no longer re-embeds on a version mismatch (it can't
  churn the library at 512px) — the GPU agent owns version re-embeds. Daily
  'embed' + 'siglip' beats self-heal.
- scoring: score_image only bags embeddings in the CURRENT model's space (whole-
  image gated by siglip_model_version, concept regions by embedding_version) so a
  mid-swap stale vector isn't scored by new-space heads; legacy NULL = current.
- UI: GpuAgentCard "Embedding model (advanced)" — edit name/version, Save, and
  "Re-embed library (GPU)" (queues embed + siglip); points at SigLIP 2.

Tests: lease announces model + submit_embedding round-trip; enqueue 'embed'
selects stale/unembedded; stale-version excluded from scoring; embedder model
settable + empty rejected; siglip gate updated to current-version concept.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

refactor(ml): remove the dead per-tag centroid subsystem (#1189) ... 3d77a38a25

The v2 pivot replaced per-tag SigLIP centroids with learned heads + CCIP.
Centroids were still recomputed (on every tag merge + a daily beat) but NOTHING
read them — suggestions come from heads+CCIP and apply_allowlist_tags applies
via Camie predictions, not centroids. Pure dead wiring; remove it.

Removed: CentroidService, recompute_centroid/recompute_centroids tasks, the
daily beat, POST /api/ml/recompute-centroids, the recompute-on-merge trigger,
the tag_reference_embedding table + model, the centroid_similarity_threshold +
min_reference_images settings (migration 0066), the CentroidRecomputeCard +
its store action + MaintenancePanel tile, and the centroid slider in
MLThresholdSliders. _keep_as_alias drops its vestigial has-centroid branch (the
allowlist branch already covers "could re-emit"); tag merge no longer clears a
table that no longer exists.

NOT touched (still live, parallel to heads): the Camie tagger, ImagePrediction,
and the allowlist bulk-apply — accepting a suggestion still allowlists + applies
it across the library. The tag-eval "centroid" baseline metric is unrelated
(in-memory) and stays. (image_record.centroid_scores JSON column also remains —
separate legacy field, its own micro-cleanup.)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

refactor(ml): retire the Camie tagger + allowlist bulk-apply (#1189) ... 485387ff0b

Heads + CCIP are the tag source and head auto-apply is the earned propagation.
The Camie tagger ran only to feed the allowlist bulk-apply (its ImagePrediction
rows had no other consumer), and the allowlist was a SECOND, un-earned auto-apply
path firing in parallel with heads on every accept — exactly the un-earned spray
the v2 pivot replaced. Retire both.

Behavior change: accepting a suggestion now applies the tag to THAT image only
(source='ml_accepted', a head-training positive) — it no longer allowlists +
fans the tag across the library via Camie. Propagation is heads' earned
auto-apply. (Loses instant cold-start propagation for booru-vocab tags; that was
un-earned and bypassed the precision gate.)

- tag_and_embed is now EMBED-ONLY (no Camie load/infer, no ImagePrediction
  writes); backfill enqueues it for images with no embedding.
- Removed: services/ml/tagger.py, apply_allowlist_tags + helpers + daily beat +
  every enqueue caller (accept/alias/merge/per-image), api/allowlist.py +
  blueprint, ImagePrediction + TagAllowlist models/tables (migration 0067),
  AllowlistTable.vue + allowlist store, the accept coverage-projection payload.
- AllowlistService gutted to accept/dismiss/undismiss/reject (the rejection store
  the rail still needs); accept returns nothing, API returns {accepted, tag_id}.
- tag merge no longer repoints/triggers the allowlist; _keep_as_alias now keys on
  ML-applied image_tag sources (incl. head_auto) instead of the allowlist.
- UI: MLBackfillCard relabelled to embedding-only; accept toast simplified;
  MaintenancePanel drops the allowlist tile.

Left for a follow-up hygiene pass (now-inert, harmless): the dead settings
columns (tagger_store_floor, tagger_model_version, suggestion_threshold_*,
video_min_tag_frames), image_record.tagger_model_version, MLThresholdSliders
trim, and the Camie model download in download_models.py.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

fix(lint): drop unused select import in tags.py after allowlist removal ... 3d97667f5b

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

refactor(ml): drop dead tagger/suggestion settings + columns (#1199) ... bc6d43d3f2

Hygiene follow-up to the Camie retirement (#1189) — these were left inert to
bound that change; nothing reads them now. Migration 0068 drops:
- ml_settings: tagger_store_floor, tagger_model_version, suggestion_threshold_
  character/general (already dead pre-retirement — scoring uses per-head
  thresholds), video_min_tag_frames (only the deleted video-prediction
  aggregator used it).
- image_record: tagger_model_version (no writer), centroid_scores (dead JSON
  cache, no reader).

Also: ml_admin _EDITABLE/GET/_validate pruned (dropped the store-floor invariant
+ video_min_tag_frames check); MLThresholdSliders trimmed to a video-embedding
card (interval + max frames only); importer no longer resets the dropped cols;
download_models drops the Camie fetch; stale CASCADE comments in cleanup_service
no longer name the removed tables. Tests updated.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

feat(api): agent-friendly tag analysis endpoints — /tags/top + /tags/<id>/stats (#1136) ... 9a3cda007a

Fast, read-only, indexed aggregates shaped for ANALYSIS (not the paged UI
directory, which is alphabetical + builds previews and timed out at 10 min on a
full count sweep).

- GET /api/tags/top — top tags by image count, desc. ?kind, ?limit (cap 500),
  ?min_count, ?source=all|human|manual|accepted|auto (human=manual+ml_accepted,
  auto=head_auto+ccip_auto+ml_auto). One GROUP BY over image_tag (indexed on
  tag_id).
- GET /api/tags/<id>/stats — per-tag dataset health: total + per-source counts
  (manual/accepted/head_auto/ccip_auto), human vs auto rollups, rejection count,
  and whether a trained head exists. Backs concept-readiness + source-split
  analysis.

Plain-HTTP homelab posture, no auth change. Tests cover ranking, source filter,
min_count, the source breakdown, and 404.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

fix(lint): use dict() not a dict-comprehension in tag_stats (C416) ... 3d7f60a6e3

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

feat(agent): crop proposers — booru_yolo anatomy + COCO person + comic panels (#1202) ... d5f29f7056

Better region PROPOSERS feeding the existing crop→SigLIP→max-over-bag heads (no
change to the learned-tagging approach; no per-tag cost — propose once, embed
each region, all heads in one matmul).

- detectors.py: lazy ultralytics YOLO wrapper, each proposer independently
  optional + guarded (a bad weight spec / inference error self-disables that one,
  logged, never breaks the worker). Weights resolve from an ultralytics name |
  http(s) URL | "hf_repo::file", cached under HF_HOME. NMS merge so a figure two
  detectors both find collapses to one crop.
- worker: figure boxes = imgutils detect_person ∪ general COCO person (merged)
  → CCIP + concept (anime + Western/realistic coverage); booru_yolo anatomy
  components (head/cat-head/anatomy/…) → concept crops; comic panels → kind=
  'panel' concept crops. Capped per frame (MAX_COMPONENTS/MAX_PANELS).
- config + compose: PERSON_WEIGHTS (default yolo11n.pt, works OOB),
  ANATOMY_WEIGHTS + PANEL_WEIGHTS (operator sets booru_yolo URL + mosesb panel
  hf::file; empty = off). ultralytics added to requirements.
- backend: image_region 'kind' doc notes 'panel'; no migration (free String,
  and the bag scorer keys on a non-null siglip_embedding, not the kind, so any
  SigLIP region joins the bag automatically).

Agent is outside CI — py-compiled here; operator tests on the GPU and checks
Western-vs-anime crop quality via /api/ccip observability.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

chore(agent): default the anatomy + panel proposer weights to working values ... ce5db5caaf

booru_yolo yolov11m_aa22.pt (40MB) + mosesb/best-comic-panel-detection::best.pt.
Each self-disables if its download fails, so defaulting them on is safe.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

bvandeusen merged commit 9a979ee808 into main 2026-06-30 16:06:13 -04:00

bvandeusen referenced this pull request 2026-06-30 16:13:30 -04:00

Release: GPU re-process trigger (apply new crop detectors to the existing library) #156

bvandeusen referenced this issue from a commit 2026-07-10 22:38:28 -04:00

feat(translation): tunable acceptance floor (0.90) + per-post sticky override (#155)

bvandeusen referenced this pull request 2026-07-10 22:47:39 -04:00

feat(translation): tunable acceptance floor (0.90) + per-post sticky override (#155) #210

bvandeusen referenced this issue from a commit 2026-07-10 22:47:47 -04:00

Merge pull request 'feat(translation): tunable acceptance floor (0.90) + per-post sticky override (#155)' (#210) from dev into main

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Reference: bvandeusen/FabledCurator#155