21e83be26e
Add cleaned RealSense/OpenCV CV under cv/ with secret-free example config, MQTT disabled by default, and canonical README coverage for web + CV relationship without claiming production integration. Co-authored-by: Cursor <cursoragent@cursor.com>
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
"""JSONL-журнал решений классификатора — метрики для отчёта и защиты.
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Каждая строка — одно зафиксированное решение (LOCK):
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время, зона, габариты, circle_ratio, флаг «неуверенно», причина.
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Анализ (корректность, доля неуверенных, распределение зон):
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.venv/bin/python -c "
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import json;
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rows=[json.loads(l) for l in open('logs/decisions.jsonl')];
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from collections import Counter;
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print(Counter(r['zone'] for r in rows));
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print('uncertain:', sum(r['uncertain'] for r in rows), '/', len(rows))"
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"""
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from __future__ import annotations
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import json
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import time
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from pathlib import Path
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from classify import ClassificationResult
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def append_decision(
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path: str | Path,
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result: ClassificationResult,
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uncertain: bool = False,
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source: str = "main",
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track_id: int | None = None,
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) -> None:
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entry = {
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"track_id": track_id,
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"ts": time.strftime("%Y-%m-%dT%H:%M:%S"),
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"ts_ms": int(time.time() * 1000),
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"zone": result.category.zone,
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"category": result.category.value,
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"label_ru": result.category.ru_label,
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"dims_mm": [round(float(x), 1) for x in result.dims_sorted_mm],
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"circle_ratio": round(float(result.circle_ratio), 4),
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"uncertain": bool(uncertain),
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"reason": result.reason,
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"source": source,
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}
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p = Path(path)
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p.parent.mkdir(parents=True, exist_ok=True)
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with open(p, "a", encoding="utf-8") as f:
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f.write(json.dumps(entry, ensure_ascii=False) + "\n")
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