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@ -22,7 +22,7 @@ logger = logging.getLogger(__name__)
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THRESHOLD_STATIONARY_IOU_AVERAGE = 0.6
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MAX_STATIONARY_IOU_HISTORY = 10
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MAX_STATIONARY_HISTORY = 10
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# Normalizes distance from estimate relative to object size
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@ -78,7 +78,7 @@ class NorfairTracker(ObjectTracker):
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self.untracked_object_boxes: list[list[int]] = []
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self.disappeared = {}
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self.positions = {}
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self.stationary_iou: dict[str, list[int]] = {}
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self.stationary_box_history: dict[str, list[list[int, int, int, int]]] = {}
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self.camera_config = config
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self.detect_config = config.detect
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self.ptz_metrics = ptz_metrics
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@ -144,7 +144,7 @@ class NorfairTracker(ObjectTracker):
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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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def update_position(self, id: str, box: [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_box = (
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position["xmin"],
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@ -153,19 +153,18 @@ class NorfairTracker(ObjectTracker):
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position["ymax"],
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)
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xmin, ymin, xmax, ymax = box
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self.stationary_box_history[id].append(box)
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iou = intersection_over_union(position_box, box)
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self.stationary_iou[id].append(iou)
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if len(self.stationary_iou[id]) > MAX_STATIONARY_IOU_HISTORY:
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self.stationary_iou[id] = self.stationary_iou[id][
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-MAX_STATIONARY_IOU_HISTORY:
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if len(self.stationary_box_history[id]) > MAX_STATIONARY_HISTORY:
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self.stationary_box_history[id] = self.stationary_box_history[id][
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-MAX_STATIONARY_HISTORY:
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]
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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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xmin, ymin, xmax, ymax = box
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# if the iou drops below the threshold
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# assume the object has moved to a new position and reset the computed box
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if avg_iou < THRESHOLD_STATIONARY_IOU_AVERAGE:
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