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Adjust kalman filter used for norfair tracker (#9538)
* Adjust kalman filter * Add comment * Formatting
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@ -3,7 +3,13 @@ import random
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import string
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import string
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import numpy as np
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import numpy as np
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from norfair import Detection, Drawable, Tracker, draw_boxes
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from norfair import (
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Detection,
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Drawable,
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OptimizedKalmanFilterFactory,
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Tracker,
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draw_boxes,
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)
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from norfair.drawing.drawer import Drawer
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from norfair.drawing.drawer import Drawer
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from frigate.config import CameraConfig
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from frigate.config import CameraConfig
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@ -82,6 +88,13 @@ class NorfairTracker(ObjectTracker):
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distance_threshold=2.5,
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distance_threshold=2.5,
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initialization_delay=self.detect_config.min_initialized,
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initialization_delay=self.detect_config.min_initialized,
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hit_counter_max=self.detect_config.max_disappeared,
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hit_counter_max=self.detect_config.max_disappeared,
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# use default filter factory with custom values
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# R is the multiplier for the sensor measurement noise matrix, default of 4.0
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# lowering R means that we trust the position of the bounding boxes more
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# testing shows that the prediction was being relied on a bit too much
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# TODO: could use different kalman filter values along with
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# the different tracker per object class
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filter_factory=OptimizedKalmanFilterFactory(R=3.4),
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)
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)
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if self.ptz_autotracker_enabled.value:
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if self.ptz_autotracker_enabled.value:
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self.ptz_motion_estimator = PtzMotionEstimator(
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self.ptz_motion_estimator = PtzMotionEstimator(
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