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https://github.com/blakeblackshear/frigate.git
synced 2026-04-27 09:07:41 +03:00
Fix typing and imports of centroid tracker
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parent
4872bb6bc9
commit
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@ -1,25 +1,26 @@
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import random
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import random
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import string
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import string
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from collections import defaultdict
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from collections import defaultdict
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from typing import Any
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import numpy as np
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import numpy as np
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from scipy.spatial import distance as dist
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from scipy.spatial import distance as dist
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from frigate.config import DetectConfig
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from frigate.config import DetectConfig
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from frigate.track import ObjectTracker
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from frigate.track import ObjectTracker
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from frigate.util import intersection_over_union
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from frigate.util.image import intersection_over_union
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class CentroidTracker(ObjectTracker):
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class CentroidTracker(ObjectTracker):
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def __init__(self, config: DetectConfig):
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def __init__(self, config: DetectConfig):
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self.tracked_objects = {}
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self.tracked_objects: dict[str, Any] = {}
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self.untracked_object_boxes = []
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self.untracked_object_boxes: list[tuple[int, int, int, int]] = []
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self.disappeared = {}
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self.disappeared: dict[str, Any] = {}
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self.positions = {}
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self.positions: dict[str, Any] = {}
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self.max_disappeared = config.max_disappeared
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self.max_disappeared = config.max_disappeared
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self.detect_config = config
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self.detect_config = config
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def register(self, index, obj):
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def register(self, obj: dict[str, Any]) -> None:
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rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
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rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
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id = f"{obj['frame_time']}-{rand_id}"
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id = f"{obj['frame_time']}-{rand_id}"
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obj["id"] = id
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obj["id"] = id
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@ -39,13 +40,13 @@ class CentroidTracker(ObjectTracker):
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"ymax": self.detect_config.height,
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"ymax": self.detect_config.height,
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}
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}
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def deregister(self, id):
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def deregister(self, id: str) -> None:
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del self.tracked_objects[id]
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del self.tracked_objects[id]
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del self.disappeared[id]
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del self.disappeared[id]
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# tracks the current position of the object based on the last N bounding boxes
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# tracks the current position of the object based on the last N bounding boxes
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# returns False if the object has moved outside its previous position
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# returns False if the object has moved outside its previous position
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def update_position(self, id, box):
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def update_position(self, id: str, box: tuple[int, int, int, int]) -> bool:
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position = self.positions[id]
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position = self.positions[id]
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position_box = (
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position_box = (
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position["xmin"],
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position["xmin"],
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@ -88,7 +89,7 @@ class CentroidTracker(ObjectTracker):
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return True
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return True
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def is_expired(self, id):
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def is_expired(self, id: str) -> bool:
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obj = self.tracked_objects[id]
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obj = self.tracked_objects[id]
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# get the max frames for this label type or the default
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# get the max frames for this label type or the default
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max_frames = self.detect_config.stationary.max_frames.objects.get(
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max_frames = self.detect_config.stationary.max_frames.objects.get(
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@ -108,7 +109,7 @@ class CentroidTracker(ObjectTracker):
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return False
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return False
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def update(self, id, new_obj):
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def update(self, id: str, new_obj: dict[str, Any]) -> None:
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self.disappeared[id] = 0
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self.disappeared[id] = 0
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# update the motionless count if the object has not moved to a new position
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# update the motionless count if the object has not moved to a new position
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if self.update_position(id, new_obj["box"]):
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if self.update_position(id, new_obj["box"]):
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@ -129,14 +130,16 @@ class CentroidTracker(ObjectTracker):
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self.tracked_objects[id].update(new_obj)
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self.tracked_objects[id].update(new_obj)
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def update_frame_times(self, frame_name, frame_time):
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def update_frame_times(self, frame_name: str, frame_time: float) -> None:
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for id in list(self.tracked_objects.keys()):
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for id in list(self.tracked_objects.keys()):
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self.tracked_objects[id]["frame_time"] = frame_time
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self.tracked_objects[id]["frame_time"] = frame_time
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self.tracked_objects[id]["motionless_count"] += 1
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self.tracked_objects[id]["motionless_count"] += 1
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if self.is_expired(id):
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if self.is_expired(id):
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self.deregister(id)
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self.deregister(id)
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def match_and_update(self, frame_time, detections):
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def match_and_update(
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self, frame_name: str, frame_time: float, detections: list[dict[Any, Any]]
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) -> None:
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# group by name
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# group by name
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detection_groups = defaultdict(lambda: [])
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detection_groups = defaultdict(lambda: [])
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for obj in detections:
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for obj in detections:
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@ -180,7 +183,7 @@ class CentroidTracker(ObjectTracker):
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if len(current_objects) == 0:
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if len(current_objects) == 0:
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for index, obj in enumerate(group):
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for index, obj in enumerate(group):
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self.register(index, obj)
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self.register(obj)
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continue
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continue
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new_centroids = np.array([o["centroid"] for o in group])
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new_centroids = np.array([o["centroid"] for o in group])
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@ -238,4 +241,4 @@ class CentroidTracker(ObjectTracker):
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# register each new input centroid as a trackable object
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# register each new input centroid as a trackable object
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else:
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else:
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for col in unusedCols:
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for col in unusedCols:
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self.register(col, group[col])
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self.register(group[col])
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