PAIDF AnomalyGen

Multi-phase pipeline (0–7); the mode flag selects which phases run.

Phase	What runs	Mode(s)
0	Verify / download pretrained checkpoints	all
1	Fine-tune on `dataset_dir`	`full`, `finetune_only`
2	Prepare inference JSONL (AMP routing)	`full`, `inference_only`
3	SDG — generate synthetic anomaly images → `original/`	`full`, `inference_only`
4	Eval `original/` — emit `per_sample.csv` + `eval.log`, merge `nn_score` into `SDG_result.csv`	`full`, `inference_only`
5	Per-sample `(guidance, crop_ratio)` search rounds → `rounds/round_NN/` (each round runs SDG + eval)	`full`, `inference_only`
6	Assemble best-of-rounds into `searched/` (stitch only), plus `rounds/search_summary.csv`	`full`, `inference_only`
7	Filter `searched/` by `nn_threshold` (default `0.4`), regen dropped samples, then canonical bucket eval → `searched/{per_sample.csv, eval.log}`	`full`, `inference_only`

Run every phase through to completion without mid-run pauses. Collect all required parameters up front, and run every command from the repo root.

paidf-anomalygen