mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
24ac9f3e5a
* swap sqlite_vec for chroma in requirements * load sqlite_vec in embeddings manager * remove chroma and revamp Embeddings class for sqlite_vec * manual minilm onnx inference * remove chroma in clip model * migrate api from chroma to sqlite_vec * migrate event cleanup from chroma to sqlite_vec * migrate embedding maintainer from chroma to sqlite_vec * genai description for sqlite_vec * load sqlite_vec in main thread db * extend the SqliteQueueDatabase class and use peewee db.execute_sql * search with Event type for similarity * fix similarity search * install and add comment about transformers * fix normalization * add id filter * clean up * clean up * fully remove chroma and add transformers env var * readd uvicorn for fastapi * readd tokenizer parallelism env var * remove chroma from docs * remove chroma from UI * try removing custom pysqlite3 build * hard code limit * optimize queries * revert explore query * fix query * keep building pysqlite3 * single pass fetch and process * remove unnecessary re-embed * update deps * move SqliteVecQueueDatabase to db directory * make search thumbnail take up full size of results box * improve typing * improve model downloading and add status screen * daemon downloading thread * catch case when semantic search is disabled * fix typing * build sqlite_vec from source * resolve conflict * file permissions * try build deps * remove sources * sources * fix thread start * include git in build * reorder embeddings after detectors are started * build with sqlite amalgamation * non-platform specific * use wget instead of curl * remove unzip -d * remove sqlite_vec from requirements and load the compiled version * fix build * avoid race in db connection * add scale_factor and bias to description zscore normalization
107 lines
2.6 KiB
Python
107 lines
2.6 KiB
Python
import re
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CONFIG_DIR = "/config"
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DEFAULT_DB_PATH = f"{CONFIG_DIR}/frigate.db"
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MODEL_CACHE_DIR = f"{CONFIG_DIR}/model_cache"
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BASE_DIR = "/media/frigate"
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CLIPS_DIR = f"{BASE_DIR}/clips"
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RECORD_DIR = f"{BASE_DIR}/recordings"
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EXPORT_DIR = f"{BASE_DIR}/exports"
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BIRDSEYE_PIPE = "/tmp/cache/birdseye"
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CACHE_DIR = "/tmp/cache"
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FRIGATE_LOCALHOST = "http://127.0.0.1:5000"
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PLUS_ENV_VAR = "PLUS_API_KEY"
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PLUS_API_HOST = "https://api.frigate.video"
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# Attribute & Object constants
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DEFAULT_ATTRIBUTE_LABEL_MAP = {
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"person": ["amazon", "face"],
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"car": ["amazon", "fedex", "license_plate", "ups"],
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}
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LABEL_CONSOLIDATION_MAP = {
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"car": 0.8,
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"face": 0.5,
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}
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LABEL_CONSOLIDATION_DEFAULT = 0.9
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LABEL_NMS_MAP = {
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"car": 0.6,
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}
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LABEL_NMS_DEFAULT = 0.4
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# Audio constants
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AUDIO_DURATION = 0.975
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AUDIO_FORMAT = "s16le"
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AUDIO_MAX_BIT_RANGE = 32768.0
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AUDIO_SAMPLE_RATE = 16000
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AUDIO_MIN_CONFIDENCE = 0.5
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# DB constants
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MAX_WAL_SIZE = 10 # MB
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# Ffmpeg constants
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DEFAULT_FFMPEG_VERSION = "7.0"
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INCLUDED_FFMPEG_VERSIONS = ["7.0", "5.0"]
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FFMPEG_HWACCEL_NVIDIA = "preset-nvidia"
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FFMPEG_HWACCEL_VAAPI = "preset-vaapi"
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FFMPEG_HWACCEL_VULKAN = "preset-vulkan"
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# Regex constants
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REGEX_CAMERA_NAME = r"^[a-zA-Z0-9_-]+$"
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REGEX_RTSP_CAMERA_USER_PASS = r":\/\/[a-zA-Z0-9_-]+:[\S]+@"
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REGEX_HTTP_CAMERA_USER_PASS = r"user=[a-zA-Z0-9_-]+&password=[\S]+"
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REGEX_JSON = re.compile(r"^\s*\{")
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# Known Driver Names
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DRIVER_ENV_VAR = "LIBVA_DRIVER_NAME"
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DRIVER_AMD = "radeonsi"
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DRIVER_INTEL_i965 = "i965"
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DRIVER_INTEL_iHD = "iHD"
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# Preview Values
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PREVIEW_FRAME_TYPE = "webp"
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# Record Values
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CACHE_SEGMENT_FORMAT = "%Y%m%d%H%M%S%z"
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MAX_PRE_CAPTURE = 60
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MAX_SEGMENT_DURATION = 600
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MAX_SEGMENTS_IN_CACHE = 6
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MAX_PLAYLIST_SECONDS = 7200 # support 2 hour segments for a single playlist to account for cameras with inconsistent segment times
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# Internal Comms Topics
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INSERT_MANY_RECORDINGS = "insert_many_recordings"
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INSERT_PREVIEW = "insert_preview"
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REQUEST_REGION_GRID = "request_region_grid"
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UPSERT_REVIEW_SEGMENT = "upsert_review_segment"
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CLEAR_ONGOING_REVIEW_SEGMENTS = "clear_ongoing_review_segments"
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UPDATE_CAMERA_ACTIVITY = "update_camera_activity"
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UPDATE_EVENT_DESCRIPTION = "update_event_description"
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UPDATE_MODEL_STATE = "update_model_state"
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# Stats Values
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FREQUENCY_STATS_POINTS = 15
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# Autotracking
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AUTOTRACKING_MAX_AREA_RATIO = 0.6
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AUTOTRACKING_MOTION_MIN_DISTANCE = 20
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AUTOTRACKING_MOTION_MAX_POINTS = 500
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AUTOTRACKING_MAX_MOVE_METRICS = 500
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AUTOTRACKING_ZOOM_OUT_HYSTERESIS = 1.1
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AUTOTRACKING_ZOOM_IN_HYSTERESIS = 0.95
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AUTOTRACKING_ZOOM_EDGE_THRESHOLD = 0.05
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# Auth
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JWT_SECRET_ENV_VAR = "FRIGATE_JWT_SECRET"
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PASSWORD_HASH_ALGORITHM = "pbkdf2_sha256"
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