File size: 2,692 Bytes
eafbe80 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | #!/usr/bin/env python3
"""Average mean_mse, mean_psnr, mean_ssim, mean_lpips from replay_gt_error.py outputs under a root."""
from __future__ import annotations
import argparse
import json
import os
import sys
from typing import Any, Dict, List, Optional
def main() -> int:
ap = argparse.ArgumentParser()
ap.add_argument("--root", required=True, help="e.g. .../static_consistency/in_domain/long_horizon_gt_replay")
ap.add_argument("--output_json", required=True)
args = ap.parse_args()
root = os.path.abspath(args.root)
rows: List[Dict[str, Any]] = []
for dirpath, _dirnames, filenames in os.walk(root):
if "replay_gt_metrics.json" not in filenames:
continue
p = os.path.join(dirpath, "replay_gt_metrics.json")
try:
with open(p, "r", encoding="utf-8") as f:
data = json.load(f)
m = (data.get("metrics") or {})
rows.append(
{
"rel": os.path.relpath(p, root),
"video_name": m.get("video_name"),
"start_frame": m.get("start_frame"),
"num_chunks": m.get("num_chunks"),
"mean_mse": m.get("mean_mse"),
"mean_psnr": m.get("mean_psnr"),
"mean_ssim": m.get("mean_ssim"),
"mean_lpips": m.get("mean_lpips"),
}
)
except Exception as e:
rows.append({"rel": os.path.relpath(p, root), "error": str(e)})
mse_vals = [float(r["mean_mse"]) for r in rows if r.get("mean_mse") is not None]
psnr_vals = [float(r["mean_psnr"]) for r in rows if r.get("mean_psnr") is not None]
ssim_vals = [float(r["mean_ssim"]) for r in rows if r.get("mean_ssim") is not None]
lpips_vals = [float(r["mean_lpips"]) for r in rows if r.get("mean_lpips") is not None]
def _mean(xs: List[float]) -> Optional[float]:
return float(sum(xs) / len(xs)) if xs else None
summary = {
"root": root,
"num_runs": len(rows),
"aggregate_mean_mse": _mean(mse_vals),
"aggregate_mean_psnr": _mean(psnr_vals),
"aggregate_mean_ssim": _mean(ssim_vals),
"aggregate_mean_lpips": _mean(lpips_vals),
"per_run": rows,
}
outp = os.path.abspath(args.output_json)
_par = os.path.dirname(outp)
if _par:
os.makedirs(_par, exist_ok=True)
with open(outp, "w", encoding="utf-8") as f:
json.dump(summary, f, indent=2)
print(f"[aggregate_long_horizon_mse] runs={len(rows)} mean_mse={summary['aggregate_mean_mse']} -> {outp}")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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