File size: 2,074 Bytes
2bfd19c | 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 | #!/usr/bin/env python3
"""Re-evaluate all runs in a sweep directory and refresh results.csv."""
import argparse
import csv
import subprocess
from pathlib import Path
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--sweep_dir", required=True)
parser.add_argument("--baseline", required=True)
parser.add_argument("--eval_script", required=True)
args = parser.parse_args()
sweep = Path(args.sweep_dir)
csv_path = sweep / "report" / "results.csv"
rows = list(csv.DictReader(open(csv_path))) if csv_path.exists() else []
updated = []
for row in rows:
out = Path(row["video_path"])
log = Path(row["log_path"])
metric = out.parent / "metrics.json"
if not out.exists():
updated.append(row)
continue
cmd = [
"python3", args.eval_script,
"--baseline", args.baseline,
"--generated", str(out),
"--log", str(log),
]
if metric.exists():
cmd += ["--metric", str(metric)]
proc = subprocess.run(cmd, capture_output=True, text=True)
metrics = {}
for line in proc.stdout.splitlines():
if "=" in line:
k, v = line.split("=", 1)
metrics[k] = v
row["psnr_db"] = metrics.get("PSNR", row.get("psnr_db", "NA"))
row["ssim"] = metrics.get("SSIM", row.get("ssim", "NA"))
row["black_ratio"] = metrics.get("BLACK", row.get("black_ratio", "NA"))
row["reuse_rate_pct"] = metrics.get("REUSE", row.get("reuse_rate_pct", "NA"))
row["peak_gb"] = metrics.get("PEAK", row.get("peak_gb", "NA"))
updated.append(row)
print(f"{row['variant']}: PSNR={row['psnr_db']} reuse={row['reuse_rate_pct']}%")
fieldnames = list(updated[0].keys()) if updated else []
with open(csv_path, "w", newline="") as f:
w = csv.DictWriter(f, fieldnames=fieldnames)
w.writeheader()
w.writerows(updated)
print(f"Updated {csv_path}")
if __name__ == "__main__":
main()
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