TrueChartsCatalogClone/incubator/frigate/1.0.12/templates/configmap.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: {{ template "common.names.fullname" . }}-config
  labels:
    {{- include "common.labels" . | nindent 4 }}
data:
  config.yml: |
    mqtt:
      # Required: host name
      host: {{ .Values.frigate.mqtt.host }}
      # Optional: port (default: shown below)
      port: {{ .Values.frigate.mqtt.port }}
      # Optional: topic prefix (default: shown below)
      # NOTE: must be unique if you are running multiple instances
      topic_prefix: frigate
      # Optional: client id (default: shown below)
      # NOTE: must be unique if you are running multiple instances
      client_id: frigate
{{- if .Values.frigate.mqtt.authenticated }}
      user: {{ .Values.frigate.mqtt.username }}
      password: {{ .Values.frigate.mqtt.password }}
      # Optional: user
      # user: mqtt_user
      # Optional: password
      # NOTE: MQTT password can be specified with an environment variables that must begin with 'FRIGATE_'.
      #       e.g. password: '{FRIGATE_MQTT_PASSWORD}'
      # password: password
{{- end }}
      # Optional: tls_ca_certs for enabling TLS using self-signed certs (default: None)
      # tls_ca_certs: /path/to/ca.crt
      # Optional: tls_client_cert and tls_client key in order to use self-signed client
      # certificates (default: None)
      # NOTE: certificate must not be password-protected
      #       do not set user and password when using a client certificate
      # tls_client_cert: /path/to/client.crt
      # tls_client_key: /path/to/client.key
      # Optional: tls_insecure (true/false) for enabling TLS verification of
      # the server hostname in the server certificate (default: None)
      # tls_insecure: false
      # Optional: interval in seconds for publishing stats (default: shown below)
      stats_interval: 60

    # Optional: Detectors configuration. Defaults to a single CPU detector
    detectors:
    # Required: name of the detector
{{- if .Values.persistence.coral }}
{{- if .Values.persistence.coral.enabled }}
      coral:
        # Required: type of the detector
        # Valid values are 'edgetpu' (requires device property below) and 'cpu'.
        type: edgetpu
        # Optional: device name as defined here: https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
        device: usb
{{- else }}
      cpu1:
        type: cpu
        # Optional: num_threads value passed to the tflite.Interpreter (default: shown below)
        # This value is only used for CPU types
        num_threads: 2
{{- end }}
{{- end }}


    # Optional: Database configuration
    # database:
      # The path to store the SQLite DB (default: shown below)
      # path: /media/frigate/frigate.db

    # Optional: model modifications
    # model:
      # Optional: path to the model (default: automatic based on detector)
      # path: /edgetpu_model.tflite
      # Optional: path to the labelmap (default: shown below)
      # labelmap_path: /labelmap.txt
      # Required: Object detection model input width (default: shown below)
      # width: 320
      # Required: Object detection model input height (default: shown below)
      # height: 240
      # Optional: Label name modifications. These are merged into the standard labelmap.
      # labelmap:
        # 2: vehicle

    # Optional: logger verbosity settings
    logger:
      # Optional: Default log verbosity (default: shown below)
      default: info
      # Optional: Component specific logger overrides
      # logs:
        # frigate.event: info

    # Optional: set environment variables
    # environment_vars:
      # EXAMPLE_VAR: value

    # Optional: birdseye configuration
    birdseye:
      # Optional: Enable birdseye view (default: shown below)
      enabled: {{ .Values.frigate.birdseye.enabled }}
      # Optional: Width of the output resolution (default: shown below)
      width: 1280
      # Optional: Height of the output resolution (default: shown below)
      height: 720
      # Optional: Encoding quality of the mpeg1 feed (default: shown below)
      # 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
      quality: 8
      # Optional: Mode of the view. Available options are: objects, motion, and continuous
      #   objects - cameras are included if they have had a tracked object within the last 30 seconds
      #   motion - cameras are included if motion was detected in the last 30 seconds
      #   continuous - all cameras are included always
      mode: {{ .Values.frigate.birdseye.mode }}

    # Optional: ffmpeg configuration
    ffmpeg:
      # Optional: global ffmpeg args (default: shown below) warning instead of debug
      global_args: -hide_banner -loglevel debug
      # Optional: global hwaccel args (default: shown below)
      # NOTE: See hardware acceleration docs for your specific device
      # hwaccel_args: []
      # Optional: global input args (default: shown below)
      # input_args: -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1
      # Optional: global output args
      # output_args:
        # Optional: output args for detect streams (default: shown below)
        # detect: -f rawvideo -pix_fmt yuv420p
        # Optional: output args for record streams (default: shown below)
        # record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an
        # Optional: output args for rtmp streams (default: shown below)
        # rtmp: -c copy -f flv

    # Optional: Detect configuration
    # NOTE: Can be overridden at the camera level
    detect:
      # Optional: width of the frame for the input with the detect role (default: shown below)
      width: 1280
      # Optional: height of the frame for the input with the detect role (default: shown below)
      height: 720
      # Optional: desired fps for your camera for the input with the detect role (default: shown below)
      # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
      fps: 5
      # Optional: enables detection for the camera (default: True)
      # This value can be set via MQTT and will be updated in startup based on retained value
      enabled: True
      # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
      # max_disappeared: 25
      # Optional: Frequency for running detection on stationary objects (default: 10x the frame rate)
      # stationary_interval: 50

    # Optional: Object configuration
    # NOTE: Can be overridden at the camera level
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - person
        - car
        - motorcyle
        - cat
        - dog
      # Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
      # Checks based on the bottom center of the bounding box of the object.
      # NOTE: This mask is COMBINED with the object type specific mask below
      # 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: 5000
          # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
          max_area: 100000
          # Optional: minimum score for the object to initiate tracking (default: shown below)
          # min_score: 0.5
          # 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

    # Optional: Motion configuration
    # NOTE: Can be overridden at the camera level
    motion:
      # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
      # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
      # The value should be between 1 and 255.
      # threshold: 25
      # Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
      # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
      # make motion detection more sensitive to smaller moving objects.
      # As a rule of thumb:
      #  - 15 - high sensitivity
      #  - 30 - medium sensitivity
      #  - 50 - low sensitivity
      contour_area: 30
      # Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
      # Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
      # Too low and a fast moving person wont be detected as motion.
      # delta_alpha: 0.2
      # Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
      # Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
      # Low values will cause things like moving shadows to be detected as motion for longer.
      # https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
      # frame_alpha: 0.2
      # Optional: Height of the resized motion frame  (default: 50)
      # This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense
      # of higher CPU usage. Lower values result in less CPU, but small changes may not register as motion.
      # frame_height: 50
      # Optional: motion mask
      # NOTE: see docs for more detailed info on creating masks
      # mask: 0,900,1080,900,1080,1920,0,1920

    # Optional: Record configuration
    # NOTE: Can be overridden at the camera level
    record:
      # Optional: Enable recording (default: shown below)
      enabled: False
      # Optional: Retention settings for recording
      retain:
        # Optional: Number of days to retain recordings regardless of events (default: shown below)
        # NOTE: This should be set to 0 and retention should be defined in events section below
        #       if you only want to retain recordings of events.
        days: 7
        # Optional: Mode for retention. Available options are: all, motion, and active_objects
        #   all - save all recording segments regardless of activity
        #   motion - save all recordings segments with any detected motion
        #   active_objects - save all recording segments with active/moving objects
        # NOTE: this mode only applies when the days setting above is greater than 0
        mode: motion
      # Optional: Event recording settings
      events:
        # Optional: Maximum length of time to retain video during long events. (default: shown below)
        # NOTE: If an object is being tracked for longer than this amount of time, the retained recordings
        #       will be the last x seconds of the event unless retain->days under record is > 0.
        max_seconds: 300
        # Optional: Number of seconds before the event to include (default: shown below)
        pre_capture: 5
        # Optional: Number of seconds after the event to include (default: shown below)
        post_capture: 5
        # Optional: Objects to save recordings for. (default: all tracked objects)
        # objects:
          # - person
        # Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones)
        # required_zones: []
        # Optional: Retention settings for recordings of events
        retain:
          # Required: Default retention days (default: shown below)
          default: 14
          # Optional: Mode for retention. (default: shown below)
          #   all - save all recording segments for events regardless of activity
          #   motion - save all recordings segments for events with any detected motion
          #   active_objects - save all recording segments for event with active/moving objects
          #
          # NOTE: If the retain mode for the camera is more restrictive than the mode configured
          #       here, the segments will already be gone by the time this mode is applied.
          #       For example, if the camera retain mode is "motion", the segments without motion are
          #       never stored, so setting the mode to "all" here won't bring them back.
          mode: active_objects
          # Optional: Per object retention days
          # objects:
            # person: 15

    # Optional: Configuration for the jpg snapshots written to the clips directory for each event
    # NOTE: Can be overridden at the camera level
    snapshots:
      # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
      # This value can be set via MQTT and will be updated in startup based on retained value
      enabled: False
      # Optional: print a timestamp on the snapshots (default: shown below)
      # timestamp: False
      # Optional: draw bounding box on the snapshots (default: shown below)
      # bounding_box: False
      # Optional: crop the snapshot (default: shown below)
      # crop: False
      # Optional: height to resize the snapshot to (default: original size)
      # height: 175
      # 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: 10
        # Optional: Per object retention days
        objects:
          person: 15

    # Optional: RTMP configuration
    # NOTE: Can be overridden at the camera level
    rtmp:
      # Optional: Enable the RTMP stream (default: True)
      enabled: True

    # Optional: Live stream configuration for WebUI
    # NOTE: Can be overridden at the camera level
    live:
      # Optional: Set the height of the live stream. (default: 720)
      # This must be less than or equal to the height of the detect stream. Lower resolutions
      # reduce bandwidth required for viewing the live stream. Width is computed to match known aspect ratio.
      # height: 720
      # Optional: Set the encode quality of the live stream (default: shown below)
      # 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
      quality: 8

    # Optional: in-feed timestamp style configuration
    # NOTE: Can be overridden at the camera level
    # timestamp_style:
      # Optional: Position of the timestamp (default: shown below)
      #           "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
      # position: "tl"
      # Optional: Format specifier conform to the Python package "datetime" (default: shown below)
      #           Additional Examples:
      #             german: "%d.%m.%Y %H:%M:%S"
      # format: "%m/%d/%Y %H:%M:%S"
      # Optional: Color of font
      # color:
        # All Required when color is specified (default: shown below)
        # red: 255
        # green: 255
        # blue: 255
      # Optional: Line thickness of font (default: shown below)
      # thickness: 2
      # Optional: Effect of lettering (default: shown below)
      #           None (No effect),
      #           "solid" (solid background in inverse color of font)
      #           "shadow" (shadow for font)
      effect: solid

    # Required
    cameras:
{{- range .Values.frigate.cameras }}
      # Required: name of the camera
      {{ .name }}:
        objects:
          # Optional: list of objects to track from labelmap.txt (default: shown below)
          track:
            {{- range .objects.track }}
              - {{ . }}
            {{- end }}
        detect:
          width: {{ .detect.width }}
          height: {{ .detect.height }}
        # Required: ffmpeg settings for the camera
        ffmpeg:
          # Required: A list of input streams for the camera. See documentation for more information.
          inputs:
            {{- range .inputs }}
            - path: {{ .path }}
              roles:
                {{- range .roles }}
                - {{ . }}
                {{- end }}
            {{- end }}
        record:
          enabled: {{ .record.enabled }}
        # Optional: timeout for highest scoring image before allowing it
        # to be replaced by a newer image. (default: shown below)
        best_image_timeout: 60
        snapshots:
          enabled: {{ .snapshots.enabled }}

        # Optional: zones for this camera
        # zones:
          # Required: name of the zone
          # NOTE: This must be different than any camera names, but can match with another zone on another
          #       camera.
          # front_steps:
            # Required: List of x,y coordinates to define the polygon of the zone.
            # NOTE: Coordinates can be generated at https://www.image-map.net/
            # coordinates: 545,1077,747,939,788,805
            # Optional: List of objects that can trigger this zone (default: all tracked objects)
            # objects:
              # - person
            # Optional: Zone level object filters.
            # NOTE: The global and camera filters are applied upstream.
            # filters:
              # person:
                # min_area: 5000
                # max_area: 100000
                # threshold: 0.7

        # Optional: Configuration for the jpg snapshots published via MQTT
        # mqtt:
          # Optional: Enable publishing snapshot via mqtt for camera (default: shown below)
          # NOTE: Only applies to publishing image data to MQTT via 'frigate/<camera_name>/<object_name>/snapshot'.
          # All other messages will still be published.
          # enabled: 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: True
          # Optional: height to resize the snapshot to (default: shown below)
          # height: 270
          # Optional: jpeg encode quality (default: shown below)
          # quality: 70
          # Optional: Restrict mqtt messages to objects that entered any of the listed zones (default: no required zones)
          # required_zones: []
{{- end }}