frigate_config.yml

tls:
  enabled: False

# Optional: Telemetry configuration
telemetry:
  # Optional: Enabled network interfaces for bandwidth stats monitoring (default: empty list, let nethogs search all)
  #network_interfaces:
   #- eth
   #- enp
   #- eno
   #- ens
   #- wl
   #- lo
  # Optional: Configure system stats
  #stats:
    # Optional: Enable AMD GPU stats (default: shown below)
    #amd_gpu_stats: True
    # Optional: Enable Intel GPU stats (default: shown below)
    #intel_gpu_stats: True
    # Optional: Treat GPU as SR-IOV to fix GPU stats (default: shown below)
    #intel_gpu_device: None
    # Optional: Enable network bandwidth stats monitoring for camera ffmpeg processes, go2rtc, and object detectors. (default: shown below)
    # NOTE: The container must either be privileged or have cap_net_admin, cap_net_raw capabilities enabled.
    #network_bandwidth: False
  # Optional: Enable the latest version outbound check (default: shown below)
  # NOTE: If you use the Home Assistant integration, disabling this will prevent it from reporting new versions
  version_check: true

# Optional
ui:
  # Optional: Set a timezone to use in the UI (default: use browser local time)
  # timezone: America/Denver
  # Optional: Set the time format used.
  # Options are browser, 12hour, or 24hour (default: shown below)
  time_format: browser
  # Optional: Set the date style for a specified length.
  # Options are: full, long, medium, short
  # Examples:
  #    short: 2/11/23
  #    medium: Feb 11, 2023
  #    full: Saturday, February 11, 2023
  # (default: shown below).
  date_style: short
  # Optional: Set the time style for a specified length.
  # Options are: full, long, medium, short
  # Examples:
  #    short: 8:14 PM
  #    medium: 8:15:22 PM
  #    full: 8:15:22 PM Mountain Standard Time
  # (default: shown below).
  time_style: medium
  # Optional: Ability to manually override the date / time styling to use strftime format
  # https://www.gnu.org/software/libc/manual/html_node/Formatting-Calendar-Time.html
  # possible values are shown above (default: not set)
  #strftime_fmt: "%Y/%m/%d %H:%M"
  # Optional: Set the unit system to either "imperial" or "metric" (default: metric)
  # Used in the UI and in MQTT topics
  unit_system: metric

# Include all cameras by default in Birdseye view
birdseye:
  enabled: true
  mode: motion

ffmpeg:
  path: '7.0'
  hwaccel_args: preset-rkmpp

detect:
  enabled: true

detectors: # required
  rknn: # required
    type: rknn # required
    # number of NPU cores to use
    # 0 means choose automatically
    # increase for better performance if you have a multicore NPU e.g. set to 3 on rk3588
    num_cores: 3

classification:
  bird:
    enabled: true
    threshold: 0.4

semantic_search:
  enabled: True
  model: "jinav1"
  model_size: small

# Optional: Configuration for face recognition capability
# NOTE: enabled, min_area can be overridden at the camera level
face_recognition:
  # Optional: Enable face recognition (default: shown below)
  enabled: true
  # Optional: Minimum face detection score required to detect a face (default: shown below)
  # NOTE: This only applies when not running a Frigate+ model
  detection_threshold: 0.5
  # Optional: Minimum face distance score required to mark as a potential match (default: shown below)
  unknown_score: 0.6
  # Optional: Minimum face distance score required to be considered a match (default: shown below)
  recognition_threshold: 0.7
  # Optional: Min area of detected face box to consider running face recognition (default: shown below)
  min_area: 480
  # Optional: Min face recognitions for the sub label to be applied to the person object (default: shown below)
  min_faces: 1
  # Optional: Number of images of recognized faces to save for training (default: shown below)
  save_attempts: 100
  # Optional: Apply a blur quality filter to adjust confidence based on the blur level of the image (default: shown below)
  blur_confidence_filter: true
  # Optional: Set the model size used face recognition. (default: shown below)
  model_size: small

lpr:
  enabled: false

audio:
  enabled: true
  listen:
    - bark
    - fire_alarm
    - scream
    - speech
    - yell

record:
  enabled: true
  retain:
    days: 3
    mode: all
  alerts:
    retain:
      days: 15
      mode: motion
  detections:
    retain:
      days: 16
      mode: motion

# Optional: Review configuration
# NOTE: Can be overridden at the camera level
review:
  # Optional: alerts configuration
  alerts:
    # Optional: enables alerts for the camera (default: shown below)
    enabled: true
    # Optional: labels that qualify as an alert (default: shown below)
    labels:
      - car
      - cat
      - dog
      - person
      - speech
  # Optional: detections configuration
  detections:
    # Optional: enables detections for the camera (default: shown below)
    enabled: true
    # Optional: labels that qualify as a detection (default: all labels that are tracked / listened to)
    #labels:
      #- car
      #- person
    # Optional: required zones for an object to be marked as a detection (default: none)
    # NOTE: when settings required zones globally, this zone must exist on all cameras
    #       or the config will be considered invalid. In that case the required_zones
    #       should be configured at the camera level.
    #required_zones:
      #- driveway

cameras:
  Hof: # <--- this will be changed to your actual camera later
    enabled: true
    ffmpeg:
      inputs:
        - path:
            rtsp://xxxxxxxxxxxxxxxxxxxxx/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
          roles:
            - record
        - path:
            rtsp://xxxxxxxxxxxxxxxxxxxxx/cam/realmonitor?channel=1&subtype=1&unicast=true&proto=Onvif
          roles:
            - audio
            - detect
    zones: {}
    motion:
      mask: 0.69,0.054,0.689,0.097,0.962,0.097,0.962,0.056
      threshold: 32
      contour_area: 8
      improve_contrast: true
    review:
      detections: {}
snapshots:
  # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
  enabled: true
  # Optional: save a clean PNG copy of the snapshot image (default: shown below)
  clean_copy: true
  # Optional: print a timestamp on the snapshots (default: shown below)
  timestamp: true
  # Optional: draw bounding box on the snapshots (default: shown below)
  bounding_box: true
  # Optional: crop the snapshot (default: shown below)
  crop: false
  # Optional: height to resize the snapshot to (default: original size)
  height: 480
  # Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
  required_zones: []
  # Optional: Camera override for retention settings (default: global values)
  retain:
    # Required: Default retention days (default: shown below)
    default: 15
    # Optional: Per object retention days
    objects:
      person: 30
  # Optional: quality of the encoded jpeg, 0-100 (default: shown below)
  quality: 80

model: # required
  # name of model (will be automatically downloaded) or path to your own .rknn model file
  # possible values are:
  # - deci-fp16-yolonas_s
  # - deci-fp16-yolonas_m
  # - deci-fp16-yolonas_l
  # your yolonas_model.rknn
  path: deci-fp16-yolonas_m
  model_type: yolonas
  width: 320
  height: 320
  input_pixel_format: bgr
  input_tensor: nhwc
  labelmap_path: /labelmap/coco-80.txt

camera_groups:
  Birdseye:
    order: 1
    icon: LuBird
    cameras: birdseye
version: 0.16-0