jungfrauandClaude Fable 5.1 ddaa5a99e6 dedup study: suppressing nested duplicate outlines on the unseen gold frames ...

Containment (intersection over the smaller area) between human-drawn crystal pairs never
exceeds 0.42, while the model-drawn duplicates sit at 0.96-1.0, so a rule at 0.9 cannot
lose a real pair. On 231 unseen frames, v4: precision 0.831 -> 0.876, recall 0.881 -> 0.869,
F1 0.855 -> 0.873, 46 outlines removed, 8 true positives lost where the less confident of
two outlines was the one matching the label.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

2026-10-05 22:26:18 +02:00

..

__init__.py

training loop: run ledger, studio export importer with an image pool, train_run with gold gate and auto-promotion, SLURM template, CI

2026-09-28 16:06:06 +02:00

compare_unseen.py

gate: bootstrap by mount, light states and excluded frames of the gold set

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dedup_study.py

dedup study: suppressing nested duplicate outlines on the unseen gold frames

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gate_stats.py

gate: bootstrap by mount, light states and excluded frames of the gold set

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gold_groups.py

gate: bootstrap by mount, light states and excluded frames of the gold set

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import_studio_export.py

training loop: run ledger, studio export importer with an image pool, train_run with gold gate and auto-promotion, SLURM template, CI

2026-09-28 16:06:06 +02:00

ledger.py

training loop: run ledger, studio export importer with an image pool, train_run with gold gate and auto-promotion, SLURM template, CI

2026-09-28 16:06:06 +02:00

measure_weights.py

gate: baseline and candidate measured in the same environment

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spark_cycle.sh

noise-aware gate, frozen core of unseen frames, and a cycle script for the Spark

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train_run.py

gate: bootstrap by mount, light states and excluded frames of the gold set

2026-10-02 15:46:31 +02:00