Three intertwined bodies of work developed and tested together this session. Full test suite green: python (edge) + phpunit (cloud). ## Edge/Pi install path - setup_online.sh: apt-lock retry (apt-daily contention), Type=exec unit + StartLimitIntervalSec in [Unit], journalctl-on-failure, crash-loop detection. - onnxruntime is now best-effort (no sdist / no 32-bit-ARM wheel); [6/8] probes the real backend and hard-fails if none works. - Hailo HEF auto-fetch: edge/tools/fetch_hailo_hef.py (pinned sha256, refuses to guess 8 vs 8L, HAILO_ARCH override for serial-less boards); hailo_pose.py run() timeout fix. - install_offline.sh: mirrors the backend gate; onnxruntime optional. ## Cafe24 cloud package (cloud/deploy/) - build_cafe24_package.sh emits move_detect_app/ (private, one folder) + www/move_detect/ (docroot subdir); no-dev classmap autoloader; preflight.php; hardened .htaccess. - Subdirectory mount support: Request::baseFrom/pathFor strip the mount prefix; index.php walks up to find the app root; views/JS prefix every URL with APP_BASE; session cookie scoped to the mount. ## Delivery audit — silent-failure & correctness (docs/delivery-audit.md) All 4 blockers + all Phase-1 silent-failure + Phase-2 HIGH correctness: - Edge cloud clients send a custom User-Agent (cafe24 WAF blocks python-requests) and allow_redirects=False. - Daemon fails loud on blank CAFE24_URL/DEVICE_SECRET; run_loop logs swallowed exceptions; heartbeat carries real fps + per-camera health; UvcSource reopens a dead camera; offline queue is size-capped and drops poison rows; TARGET_FPS/QUEUE_DB validated. - Zone coordinates normalized 0..1 on both sides (were canvas-px vs camera-px — every zone misplaced); pinch zones emit PINCH/HIGH (were downgraded to WARNING). - Fall detection uses bbox cues when keypoints are low-confidence (occluded fallen person); ghost incident not cancelled by a bystander; displacement normalized per-second (FPS-invariant). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019Xmn8KZWqiQUguEMRtn6rW
55 lines
2.5 KiB
Python
55 lines
2.5 KiB
Python
from dataclasses import dataclass
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from edge.tracking import Track
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_DANGEROUS = {"FALLING", "FALLEN", "NO_MOTION"}
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@dataclass
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class GhostConfig:
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reappear_s: float = 10.0
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reappear_dist: float = 1.0 # bbox 높이 배수
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class GhostIncidentDetector:
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def __init__(self, cfg: GhostConfig):
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self.cfg = cfg
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self._states: dict[int, str] = {}
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# 후보: track_id -> (spatial(x,y), last_state, height, lost_at)
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self._candidates: dict[int, tuple] = {}
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def note_state(self, track_id: int, state: str) -> None:
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self._states[track_id] = state
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def on_lost(self, lost_tracks: list[Track], now: float) -> None:
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for tr in lost_tracks:
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state = self._states.get(tr.track_id, "STANDING")
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if state in _DANGEROUS:
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b = tr.latest.bbox
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# Snapshot the OTHER tracks active at loss time. Only a track that did NOT
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# exist then can be the victim re-appearing (a re-acquired track gets a new
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# id); a track already present is a bystander/colleague and must not cancel
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# the incident by walking over the loss point.
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bystanders = set(self._states) - {tr.track_id}
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self._candidates[tr.track_id] = ((b.cx, b.cy), state, b.height, now, bystanders)
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self._states.pop(tr.track_id, None)
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def update(self, active_tracks: list[Track], now: float) -> list[dict]:
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# 인근 재출현이면 후보 취소 — 단, 손실 시점에 없던 새 트랙만 (진짜 재출현).
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for tid, (spatial, _state, height, _lost_at, bystanders) in list(self._candidates.items()):
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for tr in active_tracks:
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if tr.track_id in bystanders:
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continue # a colleague who was already here — not the reappearing victim
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b = tr.latest.bbox
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dist = ((b.cx - spatial[0]) ** 2 + (b.cy - spatial[1]) ** 2) ** 0.5
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if dist <= self.cfg.reappear_dist * (height or 1.0):
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self._candidates.pop(tid, None)
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break
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# 대기 초과 방출
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out = []
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for tid, (spatial, state, _height, lost_at, _by) in list(self._candidates.items()):
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if now - lost_at >= self.cfg.reappear_s:
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out.append({"track_id": tid, "spatial": spatial, "last_state": state,
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"waited_s": round(now - lost_at, 1)})
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self._candidates.pop(tid, None)
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return out
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