mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
b7ff6735f6
* Add support for stationary and active timeline entires * Be sure to update stored event data copy with stationary
99 lines
3.3 KiB
Python
99 lines
3.3 KiB
Python
"""Record events for object, audio, etc. detections."""
|
|
|
|
import logging
|
|
import queue
|
|
import threading
|
|
from multiprocessing import Queue
|
|
from multiprocessing.synchronize import Event as MpEvent
|
|
|
|
from frigate.config import FrigateConfig
|
|
from frigate.events.maintainer import EventTypeEnum
|
|
from frigate.models import Timeline
|
|
from frigate.util.builtin 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":
|
|
# zones have been updated
|
|
if (
|
|
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 prev_event_data["stationary"] != event_data["stationary"]:
|
|
timeline_entry[Timeline.class_type] = (
|
|
"stationary" if event_data["stationary"] else "active"
|
|
)
|
|
Timeline.insert(timeline_entry).execute()
|
|
elif event_type == "end":
|
|
timeline_entry[Timeline.class_type] = "gone"
|
|
Timeline.insert(timeline_entry).execute()
|