mqtt:
  topic_prefix: frigate
  client_id: frigate
  host: 192.168.1.31
  port: 1883
  user: rtrnztmuzmuzkruk
  password: qadwejzetjzetjzetwf

tls:
  enabled: false

#ffmpeg:
#  hwaccel_args: -hwaccel vaapi -vaapi_device /dev/dri/renderD128 -hwaccel_output_format
#    yuv420p

ffmpeg:
  hwaccel_args: preset-intel-qsv-h264
  output_args:
    record: preset-record-generic-audio-aac
    detect: -threads 2 -f rawvideo -pix_fmt yuv420p

detectors:
  coral:
    type: edgetpu
    device: usb

semantic_search:
  enabled: true
  model_size: large

genai:
  enabled: true
  provider: gemini
  api_key: devdihvdfihvdsfnvonbjosfbgjofgbsf
  model: gemini-2.0-flash
  #gemini-1.5-flash

record:
  sync_recordings: true
  enabled: true
  retain:
    days: 4
    mode: all
  alerts:
    retain:
      days: 6
    pre_capture: 7
    post_capture: 7
  detections:
    retain:
      days: 6
    pre_capture: 7
    post_capture: 7
audio:
  enabled: true
  listen:
    #- bark
    - dog
    - crying
#    - whimper_dog
#    - fire_alarm
#    - scream
#    - speech
#    - yell
  filters:
    # Label that matches label in listen config.
    #bark:
    #  threshold: 0.6
    dog:
      threshold: 0.7
    whimper_dog:
      threshold: 0.6

objects:
  track:
    - person
    - dog
    - shoe
#  mask: 0,0,1000,0,1000,200,0,200
  # Optional: filters to reduce false positives for specific object types
  filters:
    person:
      # Optional: minimum width*height of the bounding box for the detected object (default: 0)
      min_area: 15000
      # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
#      max_area: 100000
      # Optional: minimum width/height of the bounding box for the detected object (default: 0)
#      min_ratio: 0.5
      # Optional: maximum width/height of the bounding box for the detected object (default: 24000000)
#      max_ratio: 2.0
      # Optional: minimum score for the object to initiate tracking (default: shown below)
      min_score: 0.7
      # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
      threshold: 0.7
      # Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
      # Checks based on the bottom center of the bounding box of the object
#      mask: 0,0,1000,0,1000,200,0,200
    dog:
      min_score: 0.7
      threshold: 0.7

telemetry:
#  network_interfaces:
#    - eth
#    - enp
#    - eno
#    - ens
#    - wl
#    - lo
  stats:
    intel_gpu_stats: true
    network_bandwidth: true
  version_check: true

go2rtc:
  streams:
    CameraEntree:

    CameraEntreeSub:

    CameraCommuns:

    CameraCommunsSub:

    CameraWinnie:

    CameraWinnieSub:

    CameraBaby:

    CameraBabySub:

cameras:
  CameraEntree:
    audio:
      enabled: false
    ffmpeg:
      hwaccel_args: preset-intel-qsv-h264
      inputs:
        - path: rtsp://172.17.0.1:8554/CameraEntreeSub
          input_args: preset-rtsp-restream
          roles:
            - detect
        - path: rtsp://172.17.0.1:8554/CameraEntree?video=copy&audio=aac
          input_args: preset-rtsp-restream
          roles:
            - record
    review:
      alerts:
        labels:
          - person
          - shoe
        required_zones: FrontDoor
      detections:
        labels:
          - person
          - dog
    live:
      stream_name: CameraEntree
    snapshots:
      enabled: true
    detect:
      width: 896
      height: 672
      fps: 7
      stationary:
        interval: 50
        threshold: 50
    motion:
      contour_area: 15
      threshold: 30
      improve_contrast: 'true'
      mask:
        - 0.95,0.295,0.869,0.676,0.769,1,1,1,1,0,0.962,0
        - 0,0,0.71,0,0.711,0.067,0.282,0.064,0,0.304
        - 0.188,1,0,1,0,0.874,0.075,0.952,0.098,0.926
    objects:
      filters:
        person:
          threshold: 0.74
          mask: 0.406,0.585,0.763,0.222,0.819,0.427,0.52,0.844
    genai:
      use_snapshot: true
      prompt: Analyze the {label} in these images from the {camera} security camera
        at the front door. Focus on the actions and potential intent of the {label}.
        Max 255 characters.
      object_prompts:
        person: Analyze the video feed from the "frontdoor" camera (main entrance).
          Focus on detecting activity and providing general, humorous commentary.
          Detect, 1. Any person entering. Respond with, "Someone approaches! Prepare
          for potential social interaction." OR "The door creaks open...releasing
          the unknown." OR "Intruder alert! (Just kidding...probably)." 2. Any person
          exiting. Respond with, "Someone departs. The world is now slightly emptier."
          OR "Exit stage left. On to new adventures (or errands)." OR "And they're
          gone. The house breathes a sigh of relief (or disappointment)." 3. Multiple
          people entering. Respond with, "A gathering! Mayhem is imminent." OR "They
          multiply! The noise level is about to spike." OR "The cavalry arrives! Pizza
          is now a strategic imperative." General Notes, Maintain a dry, slightly
          cynical tone. Focus on the *act of entering or exiting* rather than who
          is doing it. Max 255 characters.
      objects:
        - person
      required_zones:
        - FrontDoor
    zones:
      FrontDoor:
        coordinates: 
          0.507,0.069,0.283,0.066,0.001,0.306,0.002,0.871,0.075,0.948,0.096,0.923,0.191,1,0.765,1,0.787,0.93,0.589,0.77
        loitering_time: 0
        inertia: 3
      Voisin:
        coordinates: 0.866,0.002,0.974,0.001,0.966,0.143,0.933,0.388,0.845,0.33
        loitering_time: 0
        inertia: 3
    ui:
      order: 1
  CameraCommuns:
    #enabled: False
    audio:
      enabled: false
    ffmpeg:
      hwaccel_args: preset-intel-qsv-h264
      inputs:
        - path: rtsp://172.17.0.1:8554/CameraCommuns?video=copy&audio=aac
          input_args: preset-rtsp-restream
          roles:
            - record
        - path: rtsp://172.17.0.1:8554/CameraCommunsSub
          input_args: preset-rtsp-restream #preset-rtsp-restream
          roles:
            - detect
    review:
      detections:
        labels:
          - person
          - dog
    #    - speech
        required_zones:
          - Reserve_Mike
          - Couloir
    live:
      stream_name: CameraCommuns
    snapshots:
      enabled: true
    detect:
      width: 896
      height: 672
      fps: 7
      stationary:
        interval: 50
        threshold: 50
    motion:
      contour_area: 15
      threshold: 30
      improve_contrast: 'true'
      mask:
        - 896,294,896,672,746,672,840,476
        - 190,195,188,60,0,102,0,0,778,0,896,0,896,104,780,71
    genai:
      use_snapshot: true
      prompt: Analyze the {label} in these images from the {camera} security camera
        at the front door. Focus on the actions and potential intent of the {label}.
        Max 255 characters.
      object_prompts:
        person: Analyze the video feed from "Entrée Principale" (main building door
          entrance, central position). Focus on detecting activity near the hair salon
          door, back office, and letterboxes. Specific landmarks Bottom Right, Hair
          salon door ("Salon Door") Bottom Left, Back office of hair salon ("Back
          Office") Center, Letterboxes When ANY activity is detected near the "Salon
          Door", respond with a short, darkly humorous comment about the potential
          risks or absurdities of hairstyling or salon visits. Use phrases like, "haircut
          gone wrong," "dye job disaster," "style crimes," "bad hair day prevention,"
          "existential hair crisis." Examples, "Another soul braves the Salon Door.
          Hope they come out alive...and with the same color they went in with." or
          "Someone's risking it all for a new 'do. Let's hope their stylist is having
          a good day." When ANY activity is detected near the "Back Office", respond
          with a short, darkly humorous comment hinting at financial shenanigans,
          boredom, or corporate drudgery. Use phrases like, "bean counting," "paperclip
          audit," "spreadsheet of doom," "budget cuts," "existential dread of accounting."
          Examples, "Something's brewing in the Back Office. Probably just tax evasion,
          but maybe a stapler fight?" or "The Back Office calls...with reports of
          existential spreadsheet-induced ennui." When ANY activity is detected near
          the Letterboxes, respond with a short, darkly humorous comment about bills,
          junk mail, or the general disappointment of postal delivery. Use phrases
          like, "bill shock," "junk mail apocalypse," "the void of correspondence,"
          "dreams crushed by postage," "the tyranny of the mailbox." Examples, "The
          Letterboxes are hungry for souls...and overdue notices." or "Another victim
          of the Letterbox lottery. Odds are it's a pizza coupon and a bill." When
          Loitering or suspicious behavior is detected near the "Salon Door", "Back
          Office", or Letterboxes" (define "Loitering" as remaining in the area for
          more than 2 minutes without a clear purpose; define "Suspicious Behavior"
          as masked individual or tampering with locks), respond with a short, darkly
          humorous comment downplaying the threat while acknowledging it. Use phrases
          like, "harmlessly weird," "probably just bored," "nothing good ever starts
          with that," "practice caution," "preemptive paranoia." The phrase should
          be adapted for the location. Examples, "Someone's looking shady near the
          Salon Door. Probably just admiring the window display, but maybe call the
          hair police." Or, "Suspicious activity near the Back Office...might be an
          intern searching for the coffee machine." General Notes, Prioritize clear,
          concise language. Let your humor be wry and fatalistic. Max 255 characters.
      objects:
        - person
      required_zones:
        - Couloir
    zones:
      Reserve_Mike:
        coordinates: 0,0.16,0.204,0.1,0.208,0.296,0.267,0.28,0.316,1,0,1
        loitering_time: 0
        inertia: 3
      Couloir:
        coordinates: 0.345,0.257,0.871,0.108,1,0.159,1,0.429,0.831,0.999,0.377,1
        loitering_time: 0
    ui:
      order: 2
  CameraWinnie:
    record:
      enabled: true
      retain:
        mode: motion  # or active_objects
        days: 2       # shorter retention
      alerts:
        retain:
          days: 4
        pre_capture: 7
        post_capture: 7
      detections:
        retain:
          days: 4
        pre_capture: 7
        post_capture: 7
    audio:
      enabled: true
    ffmpeg:
      hwaccel_args: preset-intel-qsv-h264
      input_args: preset-rtsp-restream
      inputs:
        - path: rtsp://172.17.0.1:8554/CameraWinnie?video=copy&audio=aac
        #
          input_args: preset-rtsp-restream
          roles:
            - record
            - audio
            #- detect
        - path: rtsp://172.17.0.1:8554/CameraWinnieSub
          input_args: preset-rtsp-restream #preset-rtsp-restream
          roles:
            - detect
    review:
      alerts:
        labels:
          - audio
          - dog
    live:
      stream_name: CameraWinnie
    snapshots:
      enabled: true
    detect:
      width: 640
      height: 360
      fps: 7
      stationary:
        interval: 50
        threshold: 50
    motion:
      contour_area: 25
      threshold: 45
      improve_contrast: true
      mask: 0.349,0.022,0.64,0.021,0.64,0.067,0.351,0.063
    onvif:
      host: 192.168.1.139
      port: 8000
      user: rg9rugnrwphbirwéh
      password: rfvsergare9gjarehguarejpg
    genai:
      use_snapshot: true
      prompt: Analyze the {label} in these images from the {camera} security camera.
        Focus on the actions and potential intent of the {label}. Max 255 characters.
      object_prompts:
        dog: Analyze the video for a Spitz/Pomeranian dog (identified as "Winnie"
          in the bottom video overlay). Specifically detect if Winnie is urinating,
          with particular attention to the characteristic male leg lift. If Winnie
          is urinating with a raised leg, respond with a darkly humorous comment about
          Winnie marking his territory.  Possible phrases include, "Claiming what's
          his," "Conquering the hydrants," "Spreading his influence," "Asserting dominance."
          The tone should be cynical and slightly over-the-top. If Winnie is detected
          but not urinating with a raised leg, respond with a humorous observation
          about Winnie's suspicious behavior or hidden motives. Possible phrases include,
          "Under observation," "Plotting something," "Awaiting instructions," "Calculating
          the optimal angle for mischief." The tone should be slightly paranoid and
          conspiratorial. The tone should be slightly ominous. Max 255 characters.
      objects:
        - person
        - dog
    ui:
      order: 0
  CameraBaby:
    record:
      enabled: true
      retain:
        mode: motion  # or active_objects
        days: 2       # shorter retention
      alerts:
        retain:
          days: 4
        pre_capture: 7
        post_capture: 7
      detections:
        retain:
          days: 4
        pre_capture: 7
        post_capture: 7
    audio:
      enabled: true
      listen:
        - crying
        - yell
    ffmpeg:
      hwaccel_args: preset-intel-qsv-h264
      input_args: preset-rtsp-restream
      inputs:
        - path: rtsp://172.17.0.1:8554/CameraBaby
        #?video=copy&audio=aac
          input_args: preset-rtsp-restream
          roles:
            - record
            - audio
            #- detect
        - path: rtsp://172.17.0.1:8554/CameraBabySub
          input_args: preset-rtsp-restream #preset-rtsp-restream
          roles:
            - detect
    review:
      alerts:
        labels:
          - audio
          - crying
    live:
      stream_name: CameraBaby
    snapshots:
      enabled: true
    detect:
      width: 1280
      height: 720
      fps: 7
      stationary:
        interval: 50
        threshold: 50
    onvif:
      host: 192.168.1.61
      port: 8000
      user: egarwtezj
      password: arhw65htrhtezjezthg
    genai:
      use_snapshot: true
      prompt: Analyze if you see a baby acting strangely. Max 255 characters.
      objects:
        - person
        - dog

    motion:
      mask: 0.01,0.077,0.011,0.115,0.25,0.114,0.25,0.078
      threshold: 40
      contour_area: 10
      improve_contrast: true
camera_groups:
  Entrances:
    order: 1
    icon: LuDoorClosed
    cameras:
      - CameraCommuns
      - CameraEntree

version: 0.15-1

services:
  frigate:
    container_name: frigate-vmax
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    image: ghcr.io/blakeblackshear/frigate:stable
    shm_size: "204mb" # update for your cameras based on calculation above
    devices:
      - /dev/bus/usb:/dev/bus/usb # Passes the USB Coral, needs to be modified for other versions
      - /dev/dri/renderD128:/dev/dri/renderD128 # For intel hwaccel, needs to be updated for your hardware
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /run/media/johannsax/DATA1/docker/frigate/config:/config
      - /run/media/johannsax/DATA1/frigate media:/media/frigate
    ports:
      - "8971:8971"
      - "5056:5000" # Internal unauthenticated access. Expose carefully.
      - "8554:8554" # RTSP feeds
      - "8555:8555/tcp" # WebRTC over tcp
      - "8555:8555/udp" # WebRTC over udp
    network_mode: bridge