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@ -88,6 +88,12 @@ 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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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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