Detection tags frozenval UI#405
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Fixed val (correct A/B metric comparison): - add_request.py --subset pins a batch to train/val; load_batch emits image__subset_hint; split honors it (random split only fills un-pinned images). Load base-val + night-val up front so val is frozen; add night-train only for the retrain. FiftyOne (ported from e2e_template/image_detection): - stage=fiftyone: download_images + publish GT and per-model predictions (predictions_model_a=baseline, predictions_model_b=retrained; slot by sorted model id); tag/subset as sample fields. mongo added to docker-compose; datapipe-ml[fiftyone]+fiftyone dep. Tag dimension: numeric tag_id (deterministic via config.TAG_IDS) + tag_name + tag_description; image__tag/tag_metrics key on tag_id, join tag for readable name. Bug fixes: - darken=NaN: a NULL numeric column arrives as NaN when several requests load in one batch; pd.isna guards so base batches are not darkened with gamma=NaN into garbage. - download_images: don't pass S3 storage options to fsspec.open of a public HTTP URL. Defaults/robustness: DB_SCHEMA defaults to public; standard ports. SKILL.md: two-part checkpoint flow (demo-only), fixed-val rationale, pre-flight port/schema checks, always-print-full-table rule, service-watch guidance, troubleshooting (polars-lts on pre-AVX2, count-metrics ordering, double-train, port/tunnel/proxy pitfalls); snapshot/rehearse as inline pg_dump/psql (no committed demo scripts). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Move all COCO/demo-only code (constants, download+cache, gamma darkening) into a dedicated detection/coco_demo.py (CocoDemoSource + darken). steps.load_batch is now source-agnostic plumbing: it pulls (bytes, boxes, labels) from the source and lays them into the pipeline tables. For real data you replace one file (coco_demo.py); steps.py/app.py are untouched. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
…nto add-e2e-template-claude-skill # Conflicts: # .claude/skills/setup-detection-tags/SKILL.md
Add Claude Code skills for the example pipelines
…d+verify; training triggered from the front)
…p numeric surrogate/tag_name
…plate-claude-skill' into detection-tags-frozenval-ui # Conflicts: # .claude/skills/setup-detection-tags/SKILL.md # examples/detection_tags/README.md # examples/detection_tags/detection/data.py # examples/detection_tags/detection/steps.py # examples/detection_tags/scripts/add_request.py
…plate-claude-skill' into detection-tags-frozenval-ui
…o detection-tags-frozenval-ui
…RKSPACE_CONFIG) for reproducible metrics
…er (sorted filenames + baked shuffle) so cache == download selection
…resolves when run from detection/
…etrics_* tables, FiftyOne via compose, night/val generalization caveat
…mbers, build_cache + freeze-rerun troubleshooting
…nv/weights) to localize cross-machine divergence
…A on both val sets, +0.09..+0.13), freeze debounce 1s for fast part-2, reference numbers
…ts sync the lock unmodified — stops cross-machine lib drift (ultralytics 8.4.90 vs 8.4.89)
…e cross-machine reproducibility contract
…k) + fingerprint scans DATAPIPE_TAGS_DIR too
…lly on any machine in ~2min (images re-derived byte-identically from cache); live training stays per-GPU
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