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Merge branch 'release-0.10.0' of github.com:blakeblackshear/frigate into retain-select-events
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commit
f7911c6ad7
@ -159,9 +159,11 @@ detect:
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enabled: True
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# Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
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max_disappeared: 25
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# Optional: Frequency for running detection on stationary objects (default: 0)
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# Optional: Frequency for running detection on stationary objects (default: shown below)
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# When set to 0, object detection will never be run on stationary objects. If set to 10, it will be run on every 10th frame.
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stationary_interval: 0
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# Optional: Number of frames without a position change for an object to be considered stationary (default: shown below)
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stationary_threshold: 10
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# Optional: Object configuration
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# NOTE: Can be overridden at the camera level
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@ -177,6 +177,11 @@ class DetectConfig(FrigateBaseModel):
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title="Frame interval for checking stationary objects.",
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ge=0,
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)
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stationary_threshold: Optional[int] = Field(
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default=10,
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title="Number of frames without a position change for an object to be considered stationary",
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ge=1,
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)
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class FilterConfig(FrigateBaseModel):
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@ -15,6 +15,16 @@ from frigate.models import Event
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logger = logging.getLogger(__name__)
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def should_update_db(prev_event, current_event):
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return (
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prev_event["top_score"] != current_event["top_score"]
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or prev_event["entered_zones"] != current_event["entered_zones"]
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or prev_event["thumbnail"] != current_event["thumbnail"]
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or prev_event["has_clip"] != current_event["has_clip"]
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or prev_event["has_snapshot"] != current_event["has_snapshot"]
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)
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class EventProcessor(threading.Thread):
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def __init__(
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self, config, camera_processes, event_queue, event_processed_queue, stop_event
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@ -48,7 +58,9 @@ class EventProcessor(threading.Thread):
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if event_type == "start":
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self.events_in_process[event_data["id"]] = event_data
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elif event_type == "update":
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elif event_type == "update" and should_update_db(
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self.events_in_process[event_data["id"]], event_data
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):
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self.events_in_process[event_data["id"]] = event_data
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# TODO: this will generate a lot of db activity possibly
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if event_data["has_clip"] or event_data["has_snapshot"]:
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@ -101,14 +101,13 @@ class TrackedObject:
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return median(scores)
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def update(self, current_frame_time, obj_data):
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significant_update = False
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zone_change = False
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self.obj_data.update(obj_data)
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thumb_update = False
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significant_change = False
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# if the object is not in the current frame, add a 0.0 to the score history
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if self.obj_data["frame_time"] != current_frame_time:
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if obj_data["frame_time"] != current_frame_time:
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self.score_history.append(0.0)
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else:
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self.score_history.append(self.obj_data["score"])
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self.score_history.append(obj_data["score"])
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# only keep the last 10 scores
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if len(self.score_history) > 10:
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self.score_history = self.score_history[-10:]
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@ -122,24 +121,24 @@ class TrackedObject:
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if not self.false_positive:
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# determine if this frame is a better thumbnail
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if self.thumbnail_data is None or is_better_thumbnail(
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self.thumbnail_data, self.obj_data, self.camera_config.frame_shape
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self.thumbnail_data, obj_data, self.camera_config.frame_shape
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):
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self.thumbnail_data = {
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"frame_time": self.obj_data["frame_time"],
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"box": self.obj_data["box"],
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"area": self.obj_data["area"],
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"region": self.obj_data["region"],
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"score": self.obj_data["score"],
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"frame_time": obj_data["frame_time"],
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"box": obj_data["box"],
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"area": obj_data["area"],
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"region": obj_data["region"],
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"score": obj_data["score"],
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}
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significant_update = True
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thumb_update = True
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# check zones
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current_zones = []
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bottom_center = (self.obj_data["centroid"][0], self.obj_data["box"][3])
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bottom_center = (obj_data["centroid"][0], obj_data["box"][3])
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# check each zone
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for name, zone in self.camera_config.zones.items():
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# if the zone is not for this object type, skip
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if len(zone.objects) > 0 and not self.obj_data["label"] in zone.objects:
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if len(zone.objects) > 0 and not obj_data["label"] in zone.objects:
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continue
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contour = zone.contour
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# check if the object is in the zone
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@ -150,12 +149,25 @@ class TrackedObject:
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if name not in self.entered_zones:
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self.entered_zones.append(name)
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# if the zones changed, signal an update
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if not self.false_positive and set(self.current_zones) != set(current_zones):
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zone_change = True
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if not self.false_positive:
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# if the zones changed, signal an update
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if set(self.current_zones) != set(current_zones):
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significant_change = True
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# if the position changed, signal an update
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if self.obj_data["position_changes"] != obj_data["position_changes"]:
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significant_change = True
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# if the motionless_count crosses the stationary threshold
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if (
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self.obj_data["motionless_count"]
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> self.camera_config.detect.stationary_threshold
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):
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significant_change = True
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self.obj_data.update(obj_data)
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self.current_zones = current_zones
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return (significant_update, zone_change)
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return (thumb_update, significant_change)
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def to_dict(self, include_thumbnail: bool = False):
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snapshot_time = (
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@ -466,11 +478,11 @@ class CameraState:
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for id in updated_ids:
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updated_obj = tracked_objects[id]
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significant_update, zone_change = updated_obj.update(
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thumb_update, significant_update = updated_obj.update(
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frame_time, current_detections[id]
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)
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if significant_update:
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if thumb_update:
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# ensure this frame is stored in the cache
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if (
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updated_obj.thumbnail_data["frame_time"] == frame_time
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@ -480,13 +492,13 @@ class CameraState:
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updated_obj.last_updated = frame_time
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# if it has been more than 5 seconds since the last publish
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# if it has been more than 5 seconds since the last thumb update
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# and the last update is greater than the last publish or
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# the object has changed zones
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# the object has changed significantly
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if (
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frame_time - updated_obj.last_published > 5
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and updated_obj.last_updated > updated_obj.last_published
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) or zone_change:
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) or significant_update:
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# call event handlers
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for c in self.callbacks["update"]:
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c(self.name, updated_obj, frame_time)
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@ -48,7 +48,7 @@ class ObjectTracker:
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del self.tracked_objects[id]
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del self.disappeared[id]
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# tracks the current position of the object based on the last 10 bounding boxes
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# tracks the current position of the object based on the last N bounding boxes
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# returns False if the object has moved outside its previous position
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def update_position(self, id, box):
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position = self.positions[id]
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@ -78,9 +78,9 @@ class ObjectTracker:
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}
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return False
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# if there are less than 10 entries for the position, add the bounding box
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# if there are less than stationary_threshold entries for the position, add the bounding box
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# and recompute the position box
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if len(position["xmins"]) < 10:
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if len(position["xmins"]) < self.detect_config.stationary_threshold:
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position["xmins"].append(xmin)
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position["ymins"].append(ymin)
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position["xmaxs"].append(xmax)
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@ -507,8 +507,8 @@ def process_frames(
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stationary_object_ids = [
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obj["id"]
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for obj in object_tracker.tracked_objects.values()
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# if there hasn't been motion for 10 frames
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if obj["motionless_count"] >= 10
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# if there hasn't been motion for N frames
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if obj["motionless_count"] >= detect_config.stationary_threshold
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# and it isn't due for a periodic check
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and (
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detect_config.stationary_interval == 0
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