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increase distance threshold for stationary object
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@ -495,13 +495,33 @@ class PtzAutoTracker:
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# Returns true if Euclidean distance from object to center of frame is
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# less than 15% of the of the larger dimension (width or height) of the frame,
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# multiplied by a scaling factor for object size.
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# Distance is increased if object is not moving to prevent small ptz moves
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# Adjusting this percentage slightly lower will effectively cause the camera to move
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# more often to keep the object in the center. Raising the percentage will cause less
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# movement and will be more flexible with objects not quite being centered.
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# TODO: there's probably a better way to approach this
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camera_config = self.config.cameras[camera]
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distance = np.linalg.norm(
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stationary = False
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# Norfair gives us two points for the velocity of an object represented as x1, y1, x2, y2
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x1, y1, x2, y2 = obj.obj_data["estimate_velocity"]
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average_velocity = (
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(x1 + x2) / 2,
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(y1 + y2) / 2,
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)
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# get euclidean distance of the two points, sometimes the estimate is way off
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velocity_distance = np.linalg.norm([x2 - x1, y2 - y1])
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if (
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velocity_distance <= 5
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and abs(average_velocity[0]) <= 1
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and abs(average_velocity[1]) <= 1
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):
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stationary = True
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centroid_distance = np.linalg.norm(
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[
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obj.obj_data["centroid"][0] - camera_config.detect.width / 2,
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obj.obj_data["centroid"][1] - camera_config.detect.height / 2,
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@ -517,11 +537,15 @@ class PtzAutoTracker:
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# larger objects should lower the threshold, smaller objects should raise it
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scaling_factor = 1 - (max_obj / max_frame)
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# increase distance if object is stationary
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if stationary:
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scaling_factor *= 2
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distance_threshold = 0.15 * (max_frame) * scaling_factor
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logger.debug(f"Distance: {distance}, threshold: {distance_threshold}")
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logger.debug(f"Distance: {centroid_distance}, threshold: {distance_threshold}")
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return distance < distance_threshold
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return centroid_distance < distance_threshold
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def _should_zoom_in(self, camera, obj, box):
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camera_config = self.config.cameras[camera]
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@ -733,17 +757,19 @@ class PtzAutoTracker:
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zoom = 0
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else:
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zoom_level = obj.obj_data["area"] / (camera_width * camera_height)
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zoom = min(1, zoom_level * (1 / self.zoom_factor[camera]) ** 1.2)
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# test if we need to zoom out
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if not self._should_zoom_in(
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if self._should_zoom_in(
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camera,
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obj,
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predicted_box
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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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zoom = -zoom
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# zoom in
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zoom = min(1, zoom_level * (1 / self.zoom_factor[camera]) ** 1.2)
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else:
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# zoom out
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zoom = -(1 - zoom)
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logger.debug(f"Zoom amount: {zoom}")
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