Add training-kit/monitor_ppocr_eval.py
Browse files
training-kit/monitor_ppocr_eval.py
ADDED
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#!/usr/bin/env python3
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"""Stop PP-OCR training when held-out normalized edit similarity stalls or diverges."""
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from __future__ import annotations
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import argparse
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import os
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import re
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import signal
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import time
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from pathlib import Path
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PATTERN = re.compile(r"cur metric,.*norm_edit_dis: ([0-9.eE+-]+)")
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def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("--log", type=Path, required=True)
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parser.add_argument("--pid-file", type=Path, required=True)
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parser.add_argument("--min-evals", type=int, default=5)
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parser.add_argument("--patience", type=int, default=5)
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parser.add_argument("--min-delta", type=float, default=0.002)
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parser.add_argument("--divergence-delta", type=float, default=0.03)
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parser.add_argument("--divergence-patience", type=int, default=2)
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parser.add_argument("--initial-best", type=float, default=-1.0)
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args = parser.parse_args()
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best = args.initial_best
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stale = diverged = seen = 0
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while True:
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if not args.pid_file.exists():
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time.sleep(2)
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continue
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pid = int(args.pid_file.read_text())
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try:
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os.kill(pid, 0)
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except ProcessLookupError:
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return
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scores = [float(value) for value in PATTERN.findall(args.log.read_text(errors="ignore"))]
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for score in scores[seen:]:
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seen += 1
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if score > best + args.min_delta:
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best, stale = score, 0
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else:
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stale += 1
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diverged = diverged + 1 if score < best - args.divergence_delta else 0
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print(
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f"eval={seen} score={score:.6f} best={best:.6f} "
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f"stale={stale} diverged={diverged}",
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flush=True,
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)
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if seen >= args.min_evals and (
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stale >= args.patience or diverged >= args.divergence_patience
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):
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os.kill(pid, signal.SIGTERM)
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print("EARLY_STOP", flush=True)
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return
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time.sleep(3)
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if __name__ == "__main__":
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main()
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