blakeblackshear.frigate/frigate/const.py
Josh Hawkins 96d89eb50c
Lower timeout in object processing (#17970)
On startup, the object processing pipeline would be delayed for 10ms every iteration through the loop while the end event subscriber blocked. For users with large numbers of cameras and a fair amount of detected objects, this would cause the detected objects queue length to rise and frames to be eventually dropped, leading to processing delays, incorrect frame times applied to thumbnail_data, and other seemingly unexplainable things.
2025-04-30 07:42:53 -06:00

136 lines
3.3 KiB
Python

import os
import re
INSTALL_DIR = "/opt/frigate"
CONFIG_DIR = "/config"
DEFAULT_DB_PATH = f"{CONFIG_DIR}/frigate.db"
MODEL_CACHE_DIR = f"{CONFIG_DIR}/model_cache"
BASE_DIR = "/media/frigate"
CLIPS_DIR = f"{BASE_DIR}/clips"
EXPORT_DIR = f"{BASE_DIR}/exports"
FACE_DIR = f"{CLIPS_DIR}/faces"
THUMB_DIR = f"{CLIPS_DIR}/thumbs"
RECORD_DIR = f"{BASE_DIR}/recordings"
BIRDSEYE_PIPE = "/tmp/cache/birdseye"
CACHE_DIR = "/tmp/cache"
FRIGATE_LOCALHOST = "http://127.0.0.1:5000"
PLUS_ENV_VAR = "PLUS_API_KEY"
PLUS_API_HOST = "https://api.frigate.video"
SHM_FRAMES_VAR = "SHM_MAX_FRAMES"
# Attribute & Object constants
DEFAULT_ATTRIBUTE_LABEL_MAP = {
"person": ["amazon", "face"],
"car": [
"amazon",
"an_post",
"dhl",
"dpd",
"fedex",
"gls",
"license_plate",
"nzpost",
"postnl",
"postnord",
"purolator",
"ups",
"usps",
],
"motorcycle": ["license_plate"],
}
LABEL_CONSOLIDATION_MAP = {
"car": 0.8,
"face": 0.5,
}
LABEL_CONSOLIDATION_DEFAULT = 0.9
LABEL_NMS_MAP = {
"car": 0.6,
}
LABEL_NMS_DEFAULT = 0.4
# Audio constants
AUDIO_DURATION = 0.975
AUDIO_FORMAT = "s16le"
AUDIO_MAX_BIT_RANGE = 32768.0
AUDIO_SAMPLE_RATE = 16000
AUDIO_MIN_CONFIDENCE = 0.5
# DB constants
MAX_WAL_SIZE = 10 # MB
# Ffmpeg constants
DEFAULT_FFMPEG_VERSION = os.environ.get("DEFAULT_FFMPEG_VERSION", "")
INCLUDED_FFMPEG_VERSIONS = os.environ.get("INCLUDED_FFMPEG_VERSIONS", "").split(":")
LIBAVFORMAT_VERSION_MAJOR = int(os.environ.get("LIBAVFORMAT_VERSION_MAJOR", "59"))
FFMPEG_HWACCEL_NVIDIA = "preset-nvidia"
FFMPEG_HWACCEL_VAAPI = "preset-vaapi"
FFMPEG_HWACCEL_VULKAN = "preset-vulkan"
FFMPEG_HVC1_ARGS = ["-tag:v", "hvc1"]
# Regex constants
REGEX_CAMERA_NAME = r"^[a-zA-Z0-9_-]+$"
REGEX_RTSP_CAMERA_USER_PASS = r":\/\/[a-zA-Z0-9_-]+:[\S]+@"
REGEX_HTTP_CAMERA_USER_PASS = r"user=[a-zA-Z0-9_-]+&password=[\S]+"
REGEX_JSON = re.compile(r"^\s*\{")
# Known Driver Names
DRIVER_ENV_VAR = "LIBVA_DRIVER_NAME"
DRIVER_AMD = "radeonsi"
DRIVER_INTEL_i965 = "i965"
DRIVER_INTEL_iHD = "iHD"
# Preview Values
PREVIEW_FRAME_TYPE = "webp"
# Record Values
CACHE_SEGMENT_FORMAT = "%Y%m%d%H%M%S%z"
MAX_PRE_CAPTURE = 60
MAX_SEGMENT_DURATION = 600
MAX_SEGMENTS_IN_CACHE = 6
MAX_PLAYLIST_SECONDS = 7200 # support 2 hour segments for a single playlist to account for cameras with inconsistent segment times
# Internal Comms Topics
INSERT_MANY_RECORDINGS = "insert_many_recordings"
INSERT_PREVIEW = "insert_preview"
REQUEST_REGION_GRID = "request_region_grid"
UPSERT_REVIEW_SEGMENT = "upsert_review_segment"
CLEAR_ONGOING_REVIEW_SEGMENTS = "clear_ongoing_review_segments"
UPDATE_CAMERA_ACTIVITY = "update_camera_activity"
UPDATE_EVENT_DESCRIPTION = "update_event_description"
UPDATE_MODEL_STATE = "update_model_state"
UPDATE_EMBEDDINGS_REINDEX_PROGRESS = "handle_embeddings_reindex_progress"
NOTIFICATION_TEST = "notification_test"
# Stats Values
FREQUENCY_STATS_POINTS = 15
# Autotracking
AUTOTRACKING_MAX_AREA_RATIO = 0.6
AUTOTRACKING_MOTION_MIN_DISTANCE = 20
AUTOTRACKING_MOTION_MAX_POINTS = 500
AUTOTRACKING_MAX_MOVE_METRICS = 500
AUTOTRACKING_ZOOM_OUT_HYSTERESIS = 1.1
AUTOTRACKING_ZOOM_IN_HYSTERESIS = 0.95
AUTOTRACKING_ZOOM_EDGE_THRESHOLD = 0.05
# Auth
JWT_SECRET_ENV_VAR = "FRIGATE_JWT_SECRET"
PASSWORD_HASH_ALGORITHM = "pbkdf2_sha256"
# Queues
FAST_QUEUE_TIMEOUT = 0.00001 # seconds