f7266f5980
edge/engine.py keyed the ghost cooldown as (GHOST, round(x), round(y)) — purely spatial, ignoring track identity. Two distinct workers collapsing at ~the same pixel within the cooldown window would suppress each other's ghost event, potentially masking a second CRITICAL incident. edge/detectors/ghost.py GhostIncidentDetector.update now includes the candidate's track_id in each emitted dict. edge/engine.py keys the cooldown as (EventType.GHOST, track_id) and sets the emitted Event's track_id accordingly, matching how FALL/NO_MOTION/IMMOBILITY/zone events are already keyed per-track. Tests: tests/test_ghost.py asserts ghosts[0]["track_id"] == 1 on the existing reappear-timeout test.
48 lines
1.8 KiB
Python
48 lines
1.8 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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self._candidates[tr.track_id] = ((b.cx, b.cy), state, b.height, now)
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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
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for tid, (spatial, _state, height, _lost_at) in list(self._candidates.items()):
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for tr in active_tracks:
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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) 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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