Chris Leo commited on
scorevision: push artifact
Browse files
detect_crime_ops/scripts/log_challenge.py
ADDED
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| 1 |
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#!/usr/bin/env python3
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from __future__ import annotations
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import argparse
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import csv
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from datetime import datetime, timezone
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from pathlib import Path
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FIELDS = [
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"timestamp_utc",
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"challenge_id",
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"scene",
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"lighting",
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"camera_angle",
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"motion_blur",
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"crowd_level",
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"my_model_id",
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"my_score",
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"king_model_id",
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"king_score",
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"delta_score",
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"my_pred_count",
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"king_pred_count",
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"my_latency_p50_ms",
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"my_latency_p95_ms",
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"my_latency_p99_ms",
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"dropped_frames",
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"timeout_count",
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"balaclava_hits",
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"bat_hits",
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"glove_hits",
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"graffiti_hits",
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"hoodie_hits",
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"spray_paint_hits",
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"tag_list",
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"data_source_mix",
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"notes",
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]
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def main() -> int:
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ap = argparse.ArgumentParser()
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ap.add_argument("--csv", required=True)
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ap.add_argument("--challenge-id", required=True)
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ap.add_argument("--scene", default="")
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ap.add_argument("--lighting", default="")
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ap.add_argument("--camera-angle", default="")
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ap.add_argument("--motion-blur", default="")
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ap.add_argument("--crowd-level", default="")
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ap.add_argument("--my-model-id", required=True)
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ap.add_argument("--my-score", type=float, required=True)
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ap.add_argument("--king-model-id", default="alfred8995/crime001")
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ap.add_argument("--king-score", type=float, required=True)
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ap.add_argument("--my-preds", type=int, default=0)
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ap.add_argument("--king-preds", type=int, default=0)
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ap.add_argument("--p50-ms", type=float, default=0.0)
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ap.add_argument("--p95-ms", type=float, default=0.0)
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ap.add_argument("--p99-ms", type=float, default=0.0)
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ap.add_argument("--dropped-frames", type=int, default=0)
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ap.add_argument("--timeouts", type=int, default=0)
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ap.add_argument("--balaclava-hits", type=int, default=0)
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ap.add_argument("--bat-hits", type=int, default=0)
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ap.add_argument("--glove-hits", type=int, default=0)
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ap.add_argument("--graffiti-hits", type=int, default=0)
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ap.add_argument("--hoodie-hits", type=int, default=0)
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ap.add_argument("--spray-paint-hits", type=int, default=0)
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ap.add_argument("--tags", default="")
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ap.add_argument("--data-sources", default="")
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ap.add_argument("--notes", default="")
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args = ap.parse_args()
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out = Path(args.csv)
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out.parent.mkdir(parents=True, exist_ok=True)
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new_file = not out.exists()
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row = {
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"timestamp_utc": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
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"challenge_id": args.challenge_id,
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"scene": args.scene,
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"lighting": args.lighting,
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| 80 |
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"camera_angle": args.camera_angle,
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| 81 |
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"motion_blur": args.motion_blur,
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| 82 |
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"crowd_level": args.crowd_level,
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| 83 |
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"my_model_id": args.my_model_id,
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| 84 |
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"my_score": args.my_score,
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| 85 |
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"king_model_id": args.king_model_id,
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| 86 |
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"king_score": args.king_score,
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| 87 |
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"delta_score": round(args.my_score - args.king_score, 6),
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| 88 |
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"my_pred_count": args.my_preds,
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| 89 |
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"king_pred_count": args.king_preds,
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| 90 |
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"my_latency_p50_ms": args.p50_ms,
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| 91 |
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"my_latency_p95_ms": args.p95_ms,
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| 92 |
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"my_latency_p99_ms": args.p99_ms,
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| 93 |
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"dropped_frames": args.dropped_frames,
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| 94 |
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"timeout_count": args.timeouts,
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| 95 |
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"balaclava_hits": args.balaclava_hits,
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| 96 |
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"bat_hits": args.bat_hits,
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| 97 |
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"glove_hits": args.glove_hits,
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| 98 |
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"graffiti_hits": args.graffiti_hits,
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| 99 |
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"hoodie_hits": args.hoodie_hits,
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| 100 |
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"spray_paint_hits": args.spray_paint_hits,
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| 101 |
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"tag_list": args.tags,
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| 102 |
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"data_source_mix": args.data_sources,
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| 103 |
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"notes": args.notes,
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}
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with out.open("a", newline="") as f:
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w = csv.DictWriter(f, fieldnames=FIELDS)
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if new_file:
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w.writeheader()
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w.writerow(row)
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| 111 |
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print(f"[ok] logged challenge {args.challenge_id} delta={row['delta_score']:+.4f}")
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return 0
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| 114 |
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if __name__ == "__main__":
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raise SystemExit(main())
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