9386dfc580
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
60 lines
2 KiB
Python
60 lines
2 KiB
Python
from edge.config import Config
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from edge.tracking import IouTracker
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from edge.smoothing import TrackSmootherPool
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from edge.detectors.fall import FallDetector
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from edge.detectors.immobility import ImmobilityWatchdog
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from edge.detectors.ghost import GhostIncidentDetector
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from edge.detectors.zone import ZoneIntrusionDetector
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from edge.engine import EventEngine
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from edge.snapshot import RingBuffer, FaceBlurrer, Snapshotter
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from edge.models import BBox
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def _head_boxes(persons: list) -> list:
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# 배경인물 머리영역 근사: 코 주변 작은 박스 (MVP; 실제는 얼굴 검출 포트로 교체)
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boxes = []
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for p in persons:
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nose = p.keypoints[0]
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boxes.append(BBox(nose.x - 20, nose.y - 25, nose.x + 20, nose.y + 15))
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return boxes
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def run_once(source, pose, tracker, pool, engine, ring, snapshotter, sink, now_fn):
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ok, frame = source.read()
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if not ok:
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return []
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now = now_fn()
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persons = pose.infer(frame)
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tracks = tracker.update(persons, now) # RAW keypoints; smoothing happens per-track below
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lost = tracker.lost()
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for tr in tracks:
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f = tr.latest
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f.keypoints = pool.smoother_for(tr.track_id).smooth(f.keypoints, now)
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ring.push(now, frame)
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h, w = frame.shape[:2]
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events = engine.process(tracks, lost, now, frame_wh=(w, h))
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for tr in lost:
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pool.forget(tr.track_id)
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if events:
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snaps = snapshotter.capture([frame], [_head_boxes(persons)])
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for e in events:
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sink.try_send(e, snaps)
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return events
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def build_pipeline(config: Config, source, pose) -> dict:
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return {
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"source": source,
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"pose": pose,
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"tracker": IouTracker(),
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"pool": TrackSmootherPool(),
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"engine": EventEngine(
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FallDetector(config.fall),
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ImmobilityWatchdog(config.immobility),
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GhostIncidentDetector(config.ghost),
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ZoneIntrusionDetector([], config.zone),
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config.engine,
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),
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"ring": RingBuffer(),
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"snapshotter": Snapshotter(FaceBlurrer()),
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}
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