blakeblackshear.frigate/frigate/const.py
Nicolas Mowen 13e90fc6e0 Face recognition backend (#14495)
* Add basic config and face recognition table

* Reconfigure updates processing to handle face

* Crop frame to face box

* Implement face embedding calculation

* Get matching face embeddings

* Add support face recognition based on existing faces

* Use arcface face embeddings instead of generic embeddings model

* Add apis for managing faces

* Implement face uploading API

* Build out more APIs

* Add min area config

* Handle larger images

* Add more debug logs

* fix calculation

* Reduce timeout

* Small tweaks

* Use webp images

* Use facenet model
2024-11-24 08:33:08 -07:00

123 lines
2.9 KiB
Python

import re
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"
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"
# 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",
],
}
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 = "7.0"
INCLUDED_FFMPEG_VERSIONS = ["7.0", "5.0"]
FFMPEG_HWACCEL_NVIDIA = "preset-nvidia"
FFMPEG_HWACCEL_VAAPI = "preset-vaapi"
FFMPEG_HWACCEL_VULKAN = "preset-vulkan"
# 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"
# 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"