mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
488 lines
18 KiB
Python
488 lines
18 KiB
Python
import logging
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import multiprocessing as mp
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from multiprocessing.queues import Queue
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from multiprocessing.synchronize import Event as MpEvent
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import os
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import shutil
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import signal
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import sys
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from typing import Optional
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from types import FrameType
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import traceback
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from peewee_migrate import Router
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from playhouse.sqlite_ext import SqliteExtDatabase
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from playhouse.sqliteq import SqliteQueueDatabase
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from frigate.comms.dispatcher import Communicator, Dispatcher
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from frigate.comms.mqtt import MqttClient
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from frigate.comms.ws import WebSocketClient
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from frigate.config import FrigateConfig
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from frigate.const import (
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CACHE_DIR,
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CLIPS_DIR,
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CONFIG_DIR,
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DEFAULT_DB_PATH,
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MODEL_CACHE_DIR,
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RECORD_DIR,
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)
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from frigate.object_detection import ObjectDetectProcess
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from frigate.events import EventCleanup, EventProcessor
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from frigate.http import create_app
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from frigate.log import log_process, root_configurer
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from frigate.models import Event, Recordings, Timeline
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from frigate.object_processing import TrackedObjectProcessor
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from frigate.output import output_frames
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from frigate.plus import PlusApi
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from frigate.ptz import OnvifController
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from frigate.record.record import manage_recordings
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from frigate.stats import StatsEmitter, stats_init
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from frigate.storage import StorageMaintainer
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from frigate.timeline import TimelineProcessor
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from frigate.version import VERSION
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from frigate.video import capture_camera, track_camera
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from frigate.watchdog import FrigateWatchdog
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from frigate.types import CameraMetricsTypes, RecordMetricsTypes
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logger = logging.getLogger(__name__)
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class FrigateApp:
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def __init__(self) -> None:
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self.stop_event: MpEvent = mp.Event()
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self.detection_queue: Queue = mp.Queue()
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self.detectors: dict[str, ObjectDetectProcess] = {}
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self.detection_out_events: dict[str, MpEvent] = {}
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self.detection_shms: list[mp.shared_memory.SharedMemory] = []
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self.log_queue: Queue = mp.Queue()
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self.plus_api = PlusApi()
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self.camera_metrics: dict[str, CameraMetricsTypes] = {}
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self.record_metrics: dict[str, RecordMetricsTypes] = {}
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def set_environment_vars(self) -> None:
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for key, value in self.config.environment_vars.items():
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os.environ[key] = value
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def ensure_dirs(self) -> None:
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for d in [CONFIG_DIR, RECORD_DIR, CLIPS_DIR, CACHE_DIR, MODEL_CACHE_DIR]:
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if not os.path.exists(d) and not os.path.islink(d):
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logger.info(f"Creating directory: {d}")
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os.makedirs(d)
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else:
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logger.debug(f"Skipping directory: {d}")
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def init_logger(self) -> None:
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self.log_process = mp.Process(
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target=log_process, args=(self.log_queue,), name="log_process"
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)
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self.log_process.daemon = True
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self.log_process.start()
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root_configurer(self.log_queue)
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def init_config(self) -> None:
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config_file = os.environ.get("CONFIG_FILE", "/config/config.yml")
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# Check if we can use .yaml instead of .yml
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config_file_yaml = config_file.replace(".yml", ".yaml")
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if os.path.isfile(config_file_yaml):
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config_file = config_file_yaml
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user_config = FrigateConfig.parse_file(config_file)
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self.config = user_config.runtime_config(self.plus_api)
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for camera_name in self.config.cameras.keys():
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# create camera_metrics
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self.camera_metrics[camera_name] = {
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"camera_fps": mp.Value("d", 0.0),
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"skipped_fps": mp.Value("d", 0.0),
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"process_fps": mp.Value("d", 0.0),
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"detection_enabled": mp.Value(
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"i", self.config.cameras[camera_name].detect.enabled
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),
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"motion_enabled": mp.Value("i", True),
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"improve_contrast_enabled": mp.Value(
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"i", self.config.cameras[camera_name].motion.improve_contrast
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),
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"motion_threshold": mp.Value(
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"i", self.config.cameras[camera_name].motion.threshold
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),
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"motion_contour_area": mp.Value(
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"i", self.config.cameras[camera_name].motion.contour_area
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),
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"detection_fps": mp.Value("d", 0.0),
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"detection_frame": mp.Value("d", 0.0),
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"read_start": mp.Value("d", 0.0),
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"ffmpeg_pid": mp.Value("i", 0),
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"frame_queue": mp.Queue(maxsize=2),
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"capture_process": None,
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"process": None,
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}
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self.record_metrics[camera_name] = {
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"record_enabled": mp.Value(
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"i", self.config.cameras[camera_name].record.enabled
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)
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}
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def set_log_levels(self) -> None:
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logging.getLogger().setLevel(self.config.logger.default.value.upper())
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for log, level in self.config.logger.logs.items():
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logging.getLogger(log).setLevel(level.value.upper())
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if not "werkzeug" in self.config.logger.logs:
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logging.getLogger("werkzeug").setLevel("ERROR")
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if not "ws4py" in self.config.logger.logs:
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logging.getLogger("ws4py").setLevel("ERROR")
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def init_queues(self) -> None:
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# Queues for clip processing
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self.event_queue: Queue = mp.Queue()
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self.event_processed_queue: Queue = mp.Queue()
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self.video_output_queue: Queue = mp.Queue(
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maxsize=len(self.config.cameras.keys()) * 2
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)
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# Queue for cameras to push tracked objects to
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self.detected_frames_queue: Queue = mp.Queue(
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maxsize=len(self.config.cameras.keys()) * 2
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)
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# Queue for recordings info
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self.recordings_info_queue: Queue = mp.Queue()
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# Queue for timeline events
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self.timeline_queue: Queue = mp.Queue()
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def init_database(self) -> None:
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# Migrate DB location
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old_db_path = DEFAULT_DB_PATH
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if not os.path.isfile(self.config.database.path) and os.path.isfile(
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old_db_path
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):
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os.rename(old_db_path, self.config.database.path)
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# Migrate DB schema
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migrate_db = SqliteExtDatabase(self.config.database.path)
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# Run migrations
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del logging.getLogger("peewee_migrate").handlers[:]
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router = Router(migrate_db)
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router.run()
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migrate_db.close()
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def init_recording_manager(self) -> None:
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recording_process = mp.Process(
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target=manage_recordings,
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name="recording_manager",
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args=(self.config, self.recordings_info_queue, self.record_metrics),
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)
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recording_process.daemon = True
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self.recording_process = recording_process
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recording_process.start()
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logger.info(f"Recording process started: {recording_process.pid}")
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def bind_database(self) -> None:
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"""Bind db to the main process."""
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# NOTE: all db accessing processes need to be created before the db can be bound to the main process
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self.db = SqliteQueueDatabase(self.config.database.path)
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models = [Event, Recordings, Timeline]
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self.db.bind(models)
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def init_stats(self) -> None:
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self.stats_tracking = stats_init(
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self.config, self.camera_metrics, self.detectors
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)
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def init_web_server(self) -> None:
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self.flask_app = create_app(
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self.config,
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self.db,
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self.stats_tracking,
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self.detected_frames_processor,
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self.storage_maintainer,
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self.onvif_controller,
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self.plus_api,
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)
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def init_onvif(self) -> None:
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self.onvif_controller = OnvifController(self.config)
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def init_dispatcher(self) -> None:
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comms: list[Communicator] = []
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if self.config.mqtt.enabled:
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comms.append(MqttClient(self.config))
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comms.append(WebSocketClient(self.config))
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self.dispatcher = Dispatcher(
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self.config,
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self.onvif_controller,
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self.camera_metrics,
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self.record_metrics,
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comms,
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)
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def start_detectors(self) -> None:
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for name in self.config.cameras.keys():
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self.detection_out_events[name] = mp.Event()
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try:
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largest_frame = max(
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[
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det.model.height * det.model.width * 3
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for (name, det) in self.config.detectors.items()
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]
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)
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shm_in = mp.shared_memory.SharedMemory(
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name=name,
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create=True,
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size=largest_frame,
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)
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except FileExistsError:
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shm_in = mp.shared_memory.SharedMemory(name=name)
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try:
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shm_out = mp.shared_memory.SharedMemory(
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name=f"out-{name}", create=True, size=20 * 6 * 4
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)
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except FileExistsError:
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shm_out = mp.shared_memory.SharedMemory(name=f"out-{name}")
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self.detection_shms.append(shm_in)
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self.detection_shms.append(shm_out)
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for name, detector_config in self.config.detectors.items():
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self.detectors[name] = ObjectDetectProcess(
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name,
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self.detection_queue,
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self.detection_out_events,
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detector_config,
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)
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def start_detected_frames_processor(self) -> None:
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self.detected_frames_processor = TrackedObjectProcessor(
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self.config,
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self.dispatcher,
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self.detected_frames_queue,
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self.event_queue,
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self.event_processed_queue,
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self.video_output_queue,
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self.recordings_info_queue,
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self.stop_event,
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)
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self.detected_frames_processor.start()
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def start_video_output_processor(self) -> None:
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output_processor = mp.Process(
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target=output_frames,
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name=f"output_processor",
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args=(
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self.config,
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self.video_output_queue,
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),
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)
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output_processor.daemon = True
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self.output_processor = output_processor
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output_processor.start()
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logger.info(f"Output process started: {output_processor.pid}")
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def start_camera_processors(self) -> None:
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for name, config in self.config.cameras.items():
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if not self.config.cameras[name].enabled:
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logger.info(f"Camera processor not started for disabled camera {name}")
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continue
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camera_process = mp.Process(
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target=track_camera,
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name=f"camera_processor:{name}",
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args=(
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name,
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config,
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self.config.model,
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self.config.model.merged_labelmap,
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self.detection_queue,
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self.detection_out_events[name],
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self.detected_frames_queue,
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self.camera_metrics[name],
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),
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)
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camera_process.daemon = True
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self.camera_metrics[name]["process"] = camera_process
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camera_process.start()
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logger.info(f"Camera processor started for {name}: {camera_process.pid}")
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def start_camera_capture_processes(self) -> None:
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for name, config in self.config.cameras.items():
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if not self.config.cameras[name].enabled:
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logger.info(f"Capture process not started for disabled camera {name}")
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continue
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capture_process = mp.Process(
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target=capture_camera,
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name=f"camera_capture:{name}",
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args=(name, config, self.camera_metrics[name]),
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)
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capture_process.daemon = True
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self.camera_metrics[name]["capture_process"] = capture_process
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capture_process.start()
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logger.info(f"Capture process started for {name}: {capture_process.pid}")
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def start_timeline_processor(self) -> None:
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self.timeline_processor = TimelineProcessor(
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self.config, self.timeline_queue, self.stop_event
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)
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self.timeline_processor.start()
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def start_event_processor(self) -> None:
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self.event_processor = EventProcessor(
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self.config,
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self.camera_metrics,
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self.event_queue,
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self.event_processed_queue,
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self.timeline_queue,
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self.stop_event,
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)
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self.event_processor.start()
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def start_event_cleanup(self) -> None:
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self.event_cleanup = EventCleanup(self.config, self.stop_event)
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self.event_cleanup.start()
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def start_storage_maintainer(self) -> None:
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self.storage_maintainer = StorageMaintainer(self.config, self.stop_event)
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self.storage_maintainer.start()
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def start_stats_emitter(self) -> None:
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self.stats_emitter = StatsEmitter(
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self.config,
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self.stats_tracking,
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self.dispatcher,
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self.stop_event,
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)
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self.stats_emitter.start()
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def start_watchdog(self) -> None:
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self.frigate_watchdog = FrigateWatchdog(self.detectors, self.stop_event)
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self.frigate_watchdog.start()
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def check_shm(self) -> None:
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available_shm = round(shutil.disk_usage("/dev/shm").total / 1000000, 1)
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min_req_shm = 30
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for _, camera in self.config.cameras.items():
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min_req_shm += round(
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(camera.detect.width * camera.detect.height * 1.5 * 9 + 270480)
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/ 1048576,
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1,
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)
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if available_shm < min_req_shm:
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logger.warning(
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f"The current SHM size of {available_shm}MB is too small, recommend increasing it to at least {min_req_shm}MB."
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)
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def start(self) -> None:
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self.init_logger()
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logger.info(f"Starting Frigate ({VERSION})")
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try:
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self.ensure_dirs()
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try:
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self.init_config()
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except Exception as e:
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print("*************************************************************")
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print("*************************************************************")
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print("*** Your config file is not valid! ***")
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print("*** Please check the docs at ***")
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print("*** https://docs.frigate.video/configuration/index ***")
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print("*************************************************************")
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print("*************************************************************")
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print("*** Config Validation Errors ***")
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print("*************************************************************")
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print(e)
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print(traceback.format_exc())
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print("*************************************************************")
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print("*** End Config Validation Errors ***")
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print("*************************************************************")
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self.log_process.terminate()
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sys.exit(1)
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self.set_environment_vars()
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self.set_log_levels()
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self.init_queues()
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self.init_database()
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self.init_onvif()
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self.init_recording_manager()
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self.bind_database()
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self.init_dispatcher()
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except Exception as e:
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print(e)
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self.log_process.terminate()
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sys.exit(1)
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self.start_detectors()
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self.start_video_output_processor()
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self.start_detected_frames_processor()
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self.start_camera_processors()
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self.start_camera_capture_processes()
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self.start_storage_maintainer()
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self.init_stats()
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self.init_web_server()
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self.start_timeline_processor()
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self.start_event_processor()
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self.start_event_cleanup()
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self.start_stats_emitter()
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self.start_watchdog()
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self.check_shm()
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def receiveSignal(signalNumber: int, frame: Optional[FrameType]) -> None:
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self.stop()
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sys.exit()
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signal.signal(signal.SIGTERM, receiveSignal)
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try:
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self.flask_app.run(host="127.0.0.1", port=5001, debug=False)
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except KeyboardInterrupt:
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pass
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self.stop()
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def stop(self) -> None:
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logger.info(f"Stopping...")
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self.stop_event.set()
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for detector in self.detectors.values():
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detector.stop()
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# Empty the detection queue and set the events for all requests
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while not self.detection_queue.empty():
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connection_id = self.detection_queue.get(timeout=1)
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self.detection_out_events[connection_id].set()
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self.detection_queue.close()
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self.detection_queue.join_thread()
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self.dispatcher.stop()
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self.detected_frames_processor.join()
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self.event_processor.join()
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self.event_cleanup.join()
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self.stats_emitter.join()
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self.frigate_watchdog.join()
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self.db.stop()
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while len(self.detection_shms) > 0:
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shm = self.detection_shms.pop()
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shm.close()
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shm.unlink()
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for queue in [
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self.event_queue,
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self.event_processed_queue,
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self.video_output_queue,
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self.detected_frames_queue,
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self.recordings_info_queue,
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self.log_queue,
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]:
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while not queue.empty():
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queue.get_nowait()
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queue.close()
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queue.join_thread()
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