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check euclidean distance of estimate points

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Josh Hawkins 2023-09-28 08:50:22 -05:00
parent 79790908f3
commit c389d832b2
1 changed files with 13 additions and 6 deletions
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19
frigate/ptz/autotrack.py
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@ -532,12 +532,19 @@ class PtzAutoTracker:
(y1 + y2) / 2, (y1 + y2) / 2,
) )
# this box could exceed the frame boundaries if velocity is high # get euclidean distance of the two points, sometimes the estimate is way off
# but we'll handle that in _enqueue_move() as two separate moves distance = np.linalg.norm([x2 - x1, y2 - y1])
predicted_box = [
round(x + camera_fps * predicted_movement_time * v) if distance <= 5:
for x, v in zip(obj.obj_data["box"], average_velocity) # this box could exceed the frame boundaries if velocity is high
] # but we'll handle that in _enqueue_move() as two separate moves
predicted_box = [
round(x + camera_fps * predicted_movement_time * v)
for x, v in zip(obj.obj_data["box"], average_velocity)
]
else:
# estimate was bad
predicted_box = obj.obj_data["box"]
centroid_x = round((predicted_box[0] + predicted_box[2]) / 2) centroid_x = round((predicted_box[0] + predicted_box[2]) / 2)
centroid_y = round((predicted_box[1] + predicted_box[3]) / 2) centroid_y = round((predicted_box[1] + predicted_box[3]) / 2)