administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-03-30 20:04:54 +03:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

Incrase frequency of secondary pipeline updates (#22673)

Browse Source 
* Incrase frequency of secondary pipeline updates when an object needs it

* Handle buffer timestamps correctly

* Consider LP that are not sub label
This commit is contained in:
Nicolas Mowen 2026-03-29 11:12:01 -06:00 committed by GitHub
parent 831cfc2444
commit decc8aa391
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
2 changed files with 49 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

49
frigate/camera/state.py
View File

@ -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 +394,30 @@ 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)
obj_label = updated_obj.obj_data.get("label")
publish_threshold = 5
if (
obj_label == "person"
and self.face_recognition_min_obj_area > 0
and obj_area >= self.face_recognition_min_obj_area
and updated_obj.obj_data.get("sub_label") is None
) or (
obj_label in ("car", "motorcycle")
and self.lpr_min_obj_area > 0
and obj_area >= self.lpr_min_obj_area
and updated_obj.obj_data.get("sub_label") is None
and updated_obj.obj_data.get("recognized_license_plate") is None
):
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

7
frigate/data_processing/post/review_descriptions.py
View File

@ -149,10 +149,13 @@ class ReviewDescriptionProcessor(PostProcessorApi):
additional_buffer_per_side = (MIN_RECORDING_DURATION - duration) / 2
buffer_extension = min(5, additional_buffer_per_side)
final_data["start_time"] -= buffer_extension
final_data["end_time"] += buffer_extension
thumbs = self.get_recording_frames(
camera,
final_data["start_time"] - buffer_extension,
final_data["end_time"] + buffer_extension,
final_data["start_time"],
final_data["end_time"],
height=480, # Use 480p for good balance between quality and token usage
)