blakeblackshear.frigate/frigate/timeline.py
Sergey Krashevich e640981cc4
Performance: multiprocessing improvement (#6936)
* Add faster-fifo dependency for improved performance

* isort
2023-06-28 05:39:39 -05:00

94 lines
3.0 KiB
Python

"""Record events for object, audio, etc. detections."""
import logging
import queue
import threading
from multiprocessing.synchronize import Event as MpEvent
from faster_fifo import Queue
from frigate.config import FrigateConfig
from frigate.events.maintainer import EventTypeEnum
from frigate.models import Timeline
from frigate.util import to_relative_box
logger = logging.getLogger(__name__)
class TimelineProcessor(threading.Thread):
"""Handle timeline queue and update DB."""
def __init__(
self,
config: FrigateConfig,
queue: Queue,
stop_event: MpEvent,
) -> None:
threading.Thread.__init__(self)
self.name = "timeline_processor"
self.config = config
self.queue = queue
self.stop_event = stop_event
def run(self) -> None:
while not self.stop_event.is_set():
try:
(
camera,
input_type,
event_type,
prev_event_data,
event_data,
) = self.queue.get(timeout=1)
except queue.Empty:
continue
if input_type == EventTypeEnum.tracked_object:
self.handle_object_detection(
camera, event_type, prev_event_data, event_data
)
def handle_object_detection(
self,
camera: str,
event_type: str,
prev_event_data: dict[any, any],
event_data: dict[any, any],
) -> None:
"""Handle object detection."""
camera_config = self.config.cameras[camera]
timeline_entry = {
Timeline.timestamp: event_data["frame_time"],
Timeline.camera: camera,
Timeline.source: "tracked_object",
Timeline.source_id: event_data["id"],
Timeline.data: {
"box": to_relative_box(
camera_config.detect.width,
camera_config.detect.height,
event_data["box"],
),
"label": event_data["label"],
"region": to_relative_box(
camera_config.detect.width,
camera_config.detect.height,
event_data["region"],
),
},
}
if event_type == "start":
timeline_entry[Timeline.class_type] = "visible"
Timeline.insert(timeline_entry).execute()
elif (
event_type == "update"
and prev_event_data["current_zones"] != event_data["current_zones"]
and len(event_data["current_zones"]) > 0
):
timeline_entry[Timeline.class_type] = "entered_zone"
timeline_entry[Timeline.data]["zones"] = event_data["current_zones"]
Timeline.insert(timeline_entry).execute()
elif event_type == "end":
timeline_entry[Timeline.class_type] = "gone"
Timeline.insert(timeline_entry).execute()