| |
| """Summarize Task-E pi0.5 eval logs.""" |
|
|
| from __future__ import annotations |
|
|
| import argparse |
| from pathlib import Path |
| import re |
| import statistics |
|
|
|
|
| RESULT_RE = re.compile(r"\[RESULT\].*?score=([0-9.]+).*?steps=([0-9]+).*?done=(True|False)") |
| BASKET_RE = re.compile(r"\[BASKET\].*?(object_[123]): .*?inside=(True|False)") |
|
|
|
|
| def summarize(eval_dir: Path) -> int: |
| logs = sorted(eval_dir.glob("seed*.log")) |
| if not logs: |
| print(f"[ERROR] No seed*.log files found in {eval_dir}") |
| return 1 |
|
|
| scores: list[float] = [] |
| for log in logs: |
| text = log.read_text(errors="replace") |
| result = RESULT_RE.search(text) |
| baskets = BASKET_RE.findall(text) |
| if not result: |
| print(f"{log.name}: missing result") |
| continue |
| score = float(result.group(1)) |
| steps = int(result.group(2)) |
| done = result.group(3) |
| scores.append(score) |
| basket_text = ", ".join(f"{obj}={inside}" for obj, inside in baskets) if baskets else "basket=unknown" |
| print(f"{log.name}: score={score:.2f}, steps={steps}, done={done}, {basket_text}") |
|
|
| if scores: |
| print( |
| f"[SUMMARY] n={len(scores)} mean={statistics.fmean(scores):.2f} " |
| f"best={max(scores):.2f} min={min(scores):.2f}" |
| ) |
| videos = sorted((eval_dir.parents[1] / "videos" / "task_e_pi05_eval").glob("*.mp4")) |
| if videos: |
| print(f"[VIDEO] latest={videos[-1]}") |
| return 0 |
|
|
|
|
| def main() -> int: |
| parser = argparse.ArgumentParser() |
| parser.add_argument("eval_dir", type=Path) |
| return summarize(parser.parse_args().eval_dir) |
|
|
|
|
| if __name__ == "__main__": |
| raise SystemExit(main()) |
|
|
