Files
AareLC_train/tools/measure_weights.py
T
2026-09-28 16:48:24 +02:00

54 lines
2.1 KiB
Python

#!/usr/bin/env python3
"""Measure any weights on the gold set and store the report in the registry.
Used once to give the deployed model its ``gold_report.json``, the baseline the
gate compares every new run against:
python tools/measure_weights.py /path/to/best.pt --version yolo26n-seg-overlap-false-2026-04-12
"""
from __future__ import annotations
import argparse
import json
import sys
from datetime import datetime
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))
from tools.train_run import measure # noqa: E402
DEFAULT_NAMES = ["loop_all", "pin", "crystal", "loop_face", "ice", "needle"]
def main(argv=None) -> int:
ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
ap.add_argument("weights")
ap.add_argument("--version", required=True, help="registry directory name to write gold_report.json into")
ap.add_argument("--conf", type=float, default=0.25)
ap.add_argument("--names", default=",".join(DEFAULT_NAMES))
args = ap.parse_args(argv)
reg = ROOT / "models" / "registry" / args.version
reg.mkdir(parents=True, exist_ok=True)
work = ROOT / "runs" / f"_measure_{args.version}"
work.mkdir(parents=True, exist_ok=True)
report = measure(Path(args.weights), work, args.names.split(","), conf=args.conf)
report["weights"] = str(Path(args.weights).resolve())
report["measured_at"] = datetime.now().isoformat(timespec="seconds")
out = reg / "gold_report.json"
out.write_text(json.dumps(report, indent=2) + "\n", encoding="utf-8")
meta = reg / "metadata.json"
if not meta.exists():
meta.write_text(json.dumps({"model_id": args.version, "task": "segmentation",
"metrics": report["overall"], "note": "metadata written by measure_weights.py"},
indent=2) + "\n", encoding="utf-8")
o = report["overall"]
print(f"{args.version}: f1 {o['f1']:.3f} mask IoU {o['mean_mask_iou']:.3f} -> {out}")
return 0
if __name__ == "__main__":
raise SystemExit(main())