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https://github.com/blakeblackshear/frigate.git
synced 2026-02-08 20:25:26 +03:00
Use average of boxes instead of average of iou
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parent
f61b06fd61
commit
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@ -17,6 +17,7 @@ from frigate.ptz.autotrack import PtzMotionEstimator
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from frigate.track import ObjectTracker
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from frigate.track import ObjectTracker
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from frigate.types import PTZMetricsTypes
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from frigate.types import PTZMetricsTypes
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from frigate.util.image import intersection_over_union
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from frigate.util.image import intersection_over_union
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from frigate.util.object import average_boxes
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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@ -132,7 +133,7 @@ class NorfairTracker(ObjectTracker):
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"xmax": self.detect_config.width,
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"xmax": self.detect_config.width,
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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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self.stationary_iou[id] = []
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self.stationary_box_history[id] = []
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def deregister(self, id, track_id):
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def deregister(self, id, track_id):
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del self.tracked_objects[id]
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del self.tracked_objects[id]
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@ -146,13 +147,6 @@ class NorfairTracker(ObjectTracker):
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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: str, box: list[int, int, int, int]):
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def update_position(self, id: str, box: list[int, int, int, int]):
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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["xmin"],
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position["ymin"],
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position["xmax"],
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position["ymax"],
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)
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self.stationary_box_history[id].append(box)
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self.stationary_box_history[id].append(box)
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if len(self.stationary_box_history[id]) > MAX_STATIONARY_HISTORY:
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if len(self.stationary_box_history[id]) > MAX_STATIONARY_HISTORY:
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@ -161,7 +155,9 @@ class NorfairTracker(ObjectTracker):
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]
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]
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# TODO calculate mean of boxes
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# TODO calculate mean of boxes
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avg_iou = np.mean(self.stationary_iou[id])
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avg_iou = intersection_over_union(
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box, average_boxes(self.stationary_box_history[id])
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)
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xmin, ymin, xmax, ymax = box
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xmin, ymin, xmax, ymax = box
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@ -234,7 +230,7 @@ class NorfairTracker(ObjectTracker):
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):
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):
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self.tracked_objects[id]["position_changes"] += 1
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self.tracked_objects[id]["position_changes"] += 1
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self.tracked_objects[id]["motionless_count"] = 0
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self.tracked_objects[id]["motionless_count"] = 0
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self.stationary_iou[id] = []
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self.stationary_box_history[id] = []
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self.tracked_objects[id].update(obj)
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self.tracked_objects[id].update(obj)
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@ -323,6 +323,22 @@ def reduce_boxes(boxes, iou_threshold=0.0):
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return [tuple(c) for c in clusters]
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return [tuple(c) for c in clusters]
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def average_boxes(boxes: list[list[int, int, int, int]]) -> list[int, int, int, int]:
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"""Return a box that is the average of a list of boxes."""
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x_mins = []
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y_mins = []
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x_max = []
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y_max = []
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for box in boxes:
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x_mins.append(box[0])
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y_mins.append(box[1])
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x_max.append(box[2])
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y_max.append(box[3])
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return [np.mean(x_mins), np.mean(y_mins), np.mean(x_max), np.mean(y_max)]
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def intersects_any(box_a, boxes):
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def intersects_any(box_a, boxes):
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for box in boxes:
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for box in boxes:
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if box_overlaps(box_a, box):
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if box_overlaps(box_a, box):
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