Seed failure-driven training from an evaluated incumbent
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This commit is contained in:
Jens
2026-07-30 00:28:01 +02:00
parent 15ff6f6433
commit 087704e326
2 changed files with 84 additions and 0 deletions
@@ -231,6 +231,13 @@ def main() -> int:
parser.add_argument("--workers", type=int, default=4)
parser.add_argument("--max-det", type=int, default=1000)
parser.add_argument("--imgsz", type=int, default=640)
parser.add_argument(
"--thresholds",
type=float,
nargs="+",
default=[0.05, 0.075, 0.1, 0.15, 0.2, 0.25, 0.3, 0.4],
help="Calibration-only confidence sweep used for threshold selection.",
)
parser.add_argument("--optimizer", default="auto")
parser.add_argument("--lr0", type=float)
parser.add_argument("--mosaic", type=float, default=1.0)
@@ -368,6 +375,8 @@ def main() -> int:
str(args.max_det),
"--imgsz",
str(args.imgsz),
"--thresholds",
*map(str, args.thresholds),
],
iteration_dir / f"{role}.log",
)
@@ -422,6 +431,7 @@ def main() -> int:
"--device", "cuda:0",
"--max-det", str(args.max_det),
"--imgsz", str(args.imgsz),
"--thresholds", *map(str, args.thresholds),
],
iteration_dir / f"{role}.log",
)