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zoom logic
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4fc2a5f340
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@ -547,6 +547,13 @@ class PtzAutoTracker:
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edge_threshold = 0.15
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velocity_threshold = 0.1
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far_from_edge = (
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bb_left > edge_threshold * camera_width
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and bb_right < (1 - edge_threshold) * camera_width
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and bb_top > edge_threshold * camera_height
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and bb_bottom < (1 - edge_threshold) * camera_height
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)
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# make sure object is centered in the frame
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below_distance_threshold = self._below_distance_threshold(camera, obj)
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@ -562,7 +569,7 @@ class PtzAutoTracker:
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abs(average_velocity[0]) * camera_fps < (camera_width * velocity_threshold)
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and abs(average_velocity[1]) * camera_fps
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< (camera_height * velocity_threshold)
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and distance <= 5
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and distance <= 10
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)
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logger.debug(f"Zoom test: left edge: {bb_left > edge_threshold * camera_width}")
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@ -573,6 +580,9 @@ class PtzAutoTracker:
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logger.debug(
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f"Zoom test: bottom edge: {bb_bottom < (1 - edge_threshold) * camera_height}"
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)
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logger.debug(
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f"Zoom test: below distance threshold {(below_distance_threshold or below_area_threshold)}"
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)
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logger.debug(
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f"Zoom test: below area threshold: {below_area_threshold} ratio: {obj.obj_data['area']/camera_area}, threshold value: {1-self.zoom_factor[camera]}"
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)
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@ -581,15 +591,19 @@ class PtzAutoTracker:
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)
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# returns True to zoom in, False to zoom out
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return (
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bb_left > edge_threshold * camera_width
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and bb_right < (1 - edge_threshold) * camera_width
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and bb_top > edge_threshold * camera_height
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and bb_bottom < (1 - edge_threshold) * camera_height
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and below_distance_threshold
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and below_area_threshold
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# Zoom in conditions
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if (
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far_from_edge
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and (below_distance_threshold or below_area_threshold)
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and below_velocity_threshold
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)
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):
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return True
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# Zoom out conditions
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if not far_from_edge and below_distance_threshold:
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return False
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return False
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def _autotrack_move_ptz(self, camera, obj):
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camera_config = self.config.cameras[camera]
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@ -624,7 +638,7 @@ class PtzAutoTracker:
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# get euclidean distance of the two points, sometimes the estimate is way off
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distance = np.linalg.norm([x2 - x1, y2 - y1])
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if distance <= 5:
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if distance <= 7:
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# this box could exceed the frame boundaries if velocity is high
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# but we'll handle that in _enqueue_move() as two separate moves
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predicted_box = [
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@ -648,8 +662,10 @@ class PtzAutoTracker:
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self._enqueue_move(camera, obj.obj_data["frame_time"], pan, tilt, zoom)
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def _autotrack_move_zoom_only(self, camera, obj):
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zoom = self._get_zoom_amount(camera, obj, obj.obj_data["box"])
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camera_config = self.config.cameras[camera]
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if camera_config.onvif.autotracking.zooming == ZoomingModeEnum.absolute:
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zoom = self._get_zoom_amount(camera, obj, obj.obj_data["box"])
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self._enqueue_move(camera, obj.obj_data["frame_time"], 0, 0, zoom)
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def _get_zoom_amount(self, camera, obj, predicted_box):
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@ -674,6 +690,7 @@ class PtzAutoTracker:
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zoom = min(1.0, zoom_level + 0.1)
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else:
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zoom = max(0.0, zoom_level - 0.1)
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# don't make small movements to zoom in if area hasn't changed significantly
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# but always zoom out if necessary
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if (
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@ -707,11 +724,13 @@ class PtzAutoTracker:
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if camera_config.onvif.autotracking.movement_weights
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else obj.obj_data["box"],
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):
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# if we want to zoom out less, this could be -(1 - zoom)
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zoom = -zoom
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return zoom
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def _lost_object_zoom(self, camera, obj):
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# absolutely zoom if we've lost an object and are waiting for return to preset
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camera_config = self.config.cameras[camera]
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if camera_config.onvif.autotracking.zooming != ZoomingModeEnum.disabled:
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if not self._should_zoom_in(
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@ -771,7 +790,7 @@ class PtzAutoTracker:
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and self.tracked_object_previous[camera] is not None
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and obj.obj_data["id"] == self.tracked_object[camera].obj_data["id"]
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and obj.obj_data["frame_time"] != self.previous_frame_time
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and obj.score_history[-1] != 0.0
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and not all(x == 0.0 for x in obj.score_history[-3:])
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):
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if (
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self._below_distance_threshold(camera, obj)
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