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Incrase frequency of secondary pipeline updates when an object needs it

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This commit is contained in:
Nicolas Mowen 2026-03-28 08:45:00 -06:00
parent c35cee2d2f
commit b08a1d0350
1 changed files with 43 additions and 5 deletions
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48
frigate/camera/state.py
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@ -54,6 +54,28 @@ class CameraState:
self.ptz_autotracker_thread = ptz_autotracker_thread
self.prev_enabled = self.camera_config.enabled
# Minimum object area thresholds for fast-tracking updates to secondary
# face/LPR pipelines when using a model without built-in detection.
self.face_recognition_min_obj_area: int = 0
self.lpr_min_obj_area: int = 0
if (
self.camera_config.face_recognition.enabled
and "face" not in config.objects.all_objects
):
# A face is roughly 1/8 of person box area; use a conservative
# multiplier so fast-tracking starts slightly before the optimal zone
self.face_recognition_min_obj_area = (
self.camera_config.face_recognition.min_area * 6
)
if (
self.camera_config.lpr.enabled
and "license_plate" not in self.camera_config.objects.track
):
# A plate is a smaller fraction of a vehicle box; use ~20x multiplier
self.lpr_min_obj_area = self.camera_config.lpr.min_area * 20
def get_current_frame(self, draw_options: dict[str, Any] = {}) -> np.ndarray:
with self.current_frame_lock:
frame_copy = np.copy(self._current_frame)
@ -372,13 +394,29 @@ class CameraState:
updated_obj.last_updated = frame_time
# if it has been more than 5 seconds since the last thumb update
# and the last update is greater than the last publish or
# the object has changed significantly or
# the object moved enough to update the path
# Determine the staleness threshold for publishing updates.
# Fast-track to 1s for objects in the optimal size range for
# secondary face/LPR recognition that don't yet have a sub_label.
obj_area = updated_obj.obj_data.get("area", 0)
has_sub_label = updated_obj.obj_data.get("sub_label") is not None
publish_threshold = 5
if not has_sub_label:
obj_label = updated_obj.obj_data.get("label")
if (
obj_label == "person"
and self.face_recognition_min_obj_area > 0
and obj_area >= self.face_recognition_min_obj_area
) or (
obj_label in ("car", "motorcycle")
and self.lpr_min_obj_area > 0
and obj_area >= self.lpr_min_obj_area
):
publish_threshold = 1
if (
(
frame_time - updated_obj.last_published > 5
frame_time - updated_obj.last_published > publish_threshold
and updated_obj.last_updated > updated_obj.last_published
)
or significant_update