import os import sys from datetime import datetime, timedelta from typing import Any, Dict, List, Optional, Tuple import cv2 import numpy as np sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from sort import Sort class LeavePostAlgorithm: def __init__( self, threshold_sec: int = 360, confirm_sec: int = 30, return_sec: int = 5, working_hours: Optional[List[Dict]] = None, ): self.threshold_sec = threshold_sec self.confirm_sec = confirm_sec self.return_sec = return_sec self.working_hours = working_hours or [] self.track_states: Dict[str, Dict[str, Any]] = {} self.tracker = Sort(max_age=10, min_hits=2, iou_threshold=0.3) self.alert_cooldowns: Dict[str, datetime] = {} self.cooldown_seconds = 300 def is_in_working_hours(self, dt: Optional[datetime] = None) -> bool: if not self.working_hours: return True dt = dt or datetime.now() current_minutes = dt.hour * 60 + dt.minute for period in self.working_hours: start_minutes = period["start"][0] * 60 + period["start"][1] end_minutes = period["end"][0] * 60 + period["end"][1] if start_minutes <= current_minutes < end_minutes: return True return False def process( self, camera_id: str, tracks: List[Dict], current_time: Optional[datetime] = None, ) -> List[Dict]: if not self.is_in_working_hours(current_time): return [] if not tracks: return [] detections = [] for track in tracks: bbox = track.get("bbox", []) if len(bbox) >= 4: detections.append(bbox + [track.get("conf", 0.0)]) if not detections: return [] detections = np.array(detections) tracked = self.tracker.update(detections) alerts = [] current_time = current_time or datetime.now() for track_data in tracked: x1, y1, x2, y2, track_id = track_data track_id = str(int(track_id)) if track_id not in self.track_states: self.track_states[track_id] = { "first_seen": current_time, "last_seen": current_time, "off_duty_start": None, "alerted": False, "last_position": (x1, y1, x2, y2), } state = self.track_states[track_id] state["last_seen"] = current_time state["last_position"] = (x1, y1, x2, y2) if state["off_duty_start"] is None: off_duty_duration = (current_time - state["first_seen"]).total_seconds() if off_duty_duration > self.confirm_sec: state["off_duty_start"] = current_time else: elapsed = (current_time - state["off_duty_start"]).total_seconds() if elapsed > self.threshold_sec: if not state["alerted"]: cooldown_key = f"{camera_id}_{track_id}" now = datetime.now() if cooldown_key not in self.alert_cooldowns or ( now - self.alert_cooldowns[cooldown_key] ).total_seconds() > self.cooldown_seconds: alerts.append({ "track_id": track_id, "bbox": [x1, y1, x2, y2], "off_duty_duration": elapsed, "alert_type": "leave_post", "message": f"离岗超过 {int(elapsed / 60)} 分钟", }) state["alerted"] = True self.alert_cooldowns[cooldown_key] = now else: if elapsed < self.return_sec: state["off_duty_start"] = None state["alerted"] = False cleanup_time = current_time - timedelta(minutes=5) for track_id, state in list(self.track_states.items()): if state["last_seen"] < cleanup_time: del self.track_states[track_id] return alerts def reset(self): self.track_states.clear() self.alert_cooldowns.clear() def get_state(self, track_id: str) -> Optional[Dict[str, Any]]: return self.track_states.get(track_id) class IntrusionAlgorithm: def __init__( self, check_interval_sec: float = 1.0, direction_sensitive: bool = False, ): self.check_interval_sec = check_interval_sec self.direction_sensitive = direction_sensitive self.last_check_times: Dict[str, float] = {} self.tracker = Sort(max_age=5, min_hits=1, iou_threshold=0.3) self.alert_cooldowns: Dict[str, datetime] = {} self.cooldown_seconds = 300 def process( self, camera_id: str, tracks: List[Dict], current_time: Optional[datetime] = None, ) -> List[Dict]: if not tracks: return [] detections = [] for track in tracks: bbox = track.get("bbox", []) if len(bbox) >= 4: detections.append(bbox + [track.get("conf", 0.0)]) if not detections: return [] current_ts = current_time.timestamp() if current_time else datetime.now().timestamp() if camera_id in self.last_check_times: if current_ts - self.last_check_times[camera_id] < self.check_interval_sec: return [] self.last_check_times[camera_id] = current_ts detections = np.array(detections) tracked = self.tracker.update(detections) alerts = [] now = datetime.now() for track_data in tracked: x1, y1, x2, y2, track_id = track_data cooldown_key = f"{camera_id}_{int(track_id)}" if cooldown_key not in self.alert_cooldowns or ( now - self.alert_cooldowns[cooldown_key] ).total_seconds() > self.cooldown_seconds: alerts.append({ "track_id": str(int(track_id)), "bbox": [x1, y1, x2, y2], "alert_type": "intrusion", "confidence": track_data[4] if len(track_data) > 4 else 0.0, "message": "检测到周界入侵", }) self.alert_cooldowns[cooldown_key] = now return alerts def reset(self): self.last_check_times.clear() self.alert_cooldowns.clear() class AlgorithmManager: def __init__(self, working_hours: Optional[List[Dict]] = None): self.algorithms: Dict[str, Dict[str, Any]] = {} self.working_hours = working_hours or [] self.default_params = { "leave_post": { "threshold_sec": 360, "confirm_sec": 30, "return_sec": 5, }, "intrusion": { "check_interval_sec": 1.0, "direction_sensitive": False, }, } def register_algorithm( self, roi_id: str, algorithm_type: str, params: Optional[Dict[str, Any]] = None, ): if roi_id in self.algorithms: if algorithm_type in self.algorithms[roi_id]: return if roi_id not in self.algorithms: self.algorithms[roi_id] = {} algo_params = self.default_params.get(algorithm_type, {}) if params: algo_params.update(params) if algorithm_type == "leave_post": self.algorithms[roi_id]["leave_post"] = LeavePostAlgorithm( threshold_sec=algo_params.get("threshold_sec", 360), confirm_sec=algo_params.get("confirm_sec", 30), return_sec=algo_params.get("return_sec", 5), working_hours=self.working_hours, ) elif algorithm_type == "intrusion": self.algorithms[roi_id]["intrusion"] = IntrusionAlgorithm( check_interval_sec=algo_params.get("check_interval_sec", 1.0), direction_sensitive=algo_params.get("direction_sensitive", False), ) def process( self, roi_id: str, camera_id: str, algorithm_type: str, tracks: List[Dict], current_time: Optional[datetime] = None, ) -> List[Dict]: algo = self.algorithms.get(roi_id, {}).get(algorithm_type) if algo is None: return [] return algo.process(camera_id, tracks, current_time) def update_roi_params( self, roi_id: str, algorithm_type: str, params: Dict[str, Any], ): if roi_id in self.algorithms and algorithm_type in self.algorithms[roi_id]: algo = self.algorithms[roi_id][algorithm_type] for key, value in params.items(): if hasattr(algo, key): setattr(algo, key, value) def reset_algorithm(self, roi_id: str, algorithm_type: Optional[str] = None): if roi_id not in self.algorithms: return if algorithm_type: if algorithm_type in self.algorithms[roi_id]: self.algorithms[roi_id][algorithm_type].reset() else: for algo in self.algorithms[roi_id].values(): algo.reset() def reset_all(self): for roi_algorithms in self.algorithms.values(): for algo in roi_algorithms.values(): algo.reset() def remove_roi(self, roi_id: str): if roi_id in self.algorithms: self.reset_algorithm(roi_id) del self.algorithms[roi_id] def get_status(self, roi_id: str) -> Dict[str, Any]: status = {} if roi_id in self.algorithms: for algo_type, algo in self.algorithms[roi_id].items(): status[algo_type] = { "track_count": len(getattr(algo, "track_states", {})), } return status