mqtt:
  host: localhost

frigate:
  url: http://localhost:5000

cameras:
  front-door:
    mqtt:
      timestamp: False
      bounding_box: False
      crop: True
      quality: 100
      height: 500

alias: Notify
trigger:
  - platform: state
    entity_id: sensor.double_take_david
  - platform: state
    entity_id: sensor.double_take_unknown
condition:
  - condition: template
    value_template: '{{ trigger.to_state.state != trigger.from_state.state }}'
action:
  - service: notify.mobile_app
    data:
      message: |-
        {% if trigger.to_state.attributes.match is defined %}
          {{trigger.to_state.attributes.friendly_name}} is near the {{trigger.to_state.state}} @ {{trigger.to_state.attributes.match.confidence}}% by {{trigger.to_state.attributes.match.detector}}:{{trigger.to_state.attributes.match.type}} taking {{trigger.to_state.attributes.attempts}} attempt(s) @ {{trigger.to_state.attributes.duration}} sec
        {% elif trigger.to_state.attributes.unknown is defined %}
          unknown is near the {{trigger.to_state.state}} @ {{trigger.to_state.attributes.unknown.confidence}}% by {{trigger.to_state.attributes.unknown.detector}}:{{trigger.to_state.attributes.unknown.type}} taking {{trigger.to_state.attributes.attempts}} attempt(s) @ {{trigger.to_state.attributes.duration}} sec
        {% endif %}
      data:
        attachment:
          url: |-
            {% if trigger.to_state.attributes.match is defined %}
              http://localhost:3000/api/storage/matches/{{trigger.to_state.attributes.match.filename}}?box=true&token={{trigger.to_state.attributes.token}}
            {% elif trigger.to_state.attributes.unknown is defined %}
               http://localhost:3000/api/storage/matches/{{trigger.to_state.attributes.unknown.filename}}?box=true&token={{trigger.to_state.attributes.token}}
            {% endif %}
        actions:
          - action: URI
            title: View Image
            uri: |-
              {% if trigger.to_state.attributes.match is defined %}
                http://localhost:3000/api/storage/matches/{{trigger.to_state.attributes.match.filename}}?box=true&token={{trigger.to_state.attributes.token}}
              {% elif trigger.to_state.attributes.unknown is defined %}
                 http://localhost:3000/api/storage/matches/{{trigger.to_state.attributes.unknown.filename}}?box=true&token={{trigger.to_state.attributes.token}}
              {% endif %}
mode: parallel
max: 10

mqtt:
  host: localhost

notify:
  gotify:
    url: http://localhost:8080
    token:

auth: true

version: '3.7'

volumes:
  double-take:

services:
  double-take:
    container_name: double-take
    image: jakowenko/double-take
    restart: unless-stopped
    volumes:
      - double-take:/.storage
    ports:
      - 3000:3000

# enable authentication for ui and api (default: shown below)
auth: false

# if authentication is enabled
# age of access token in api response and mqtt topics (default: shown below)
# expressed in seconds or a string describing a time span zeit/ms
# https://github.com/vercel/ms
token:
  image: 24h

# enable mqtt subscribing and publishing (default: shown below)
mqtt:
  host:
  username:
  password:
  client_id:

  tls:
    # cert chains in PEM format: /path/to/client.crt
    cert:
    # private keys in PEM format: /path/to/client.key
    key:
    # optionally override the trusted CA certificates: /path/to/ca.crt
    ca:
    # if true the server will reject any connection which is not authorized with the list of supplied CAs
    reject_unauthorized: false

  topics:
    # mqtt topic for frigate message subscription
    frigate: frigate/events
    #  mqtt topic for home assistant discovery subscription
    homeassistant: homeassistant
    # mqtt topic where matches are published by name
    matches: double-take/matches
    # mqtt topic where matches are published by camera name
    cameras: double-take/cameras

# global detect settings (default: shown below)
detect:
  match:
    # save match images
    save: true
    # include base64 encoded string in api results and mqtt messages
    # options: true, false, box
    base64: false
    # minimum confidence needed to consider a result a match
    confidence: 60
    # hours to keep match images until they are deleted
    purge: 168
    # minimum area in pixels to consider a result a match
    min_area: 10000

  unknown:
    # save unknown images
    save: true
    # include base64 encoded string in api results and mqtt messages
    # options: true, false, box
    base64: false
    # minimum confidence needed before classifying a name as unknown
    confidence: 40
    # hours to keep unknown images until they are deleted
    purge: 8
    # minimum area in pixels to keep an unknown result
    min_area: 0

# frigate settings (default: shown below)
frigate:
  url:

  # if double take should send matches back to frigate as a sub label
  # NOTE: requires frigate 0.11.0+
  update_sub_labels: false

  # stop the processing loop if a match is found
  # if set to false all image attempts will be processed before determining the best match
  stop_on_match: true

  # ignore detected areas so small that face recognition would be difficult
  # quadrupling the min_area of the detector is a good start
  # does not apply to MQTT events
  min_area: 0

  # object labels that are allowed for facial recognition
  labels:
    - person

  attempts:
    # number of times double take will request a frigate latest.jpg for facial recognition
    latest: 10
    # number of times double take will request a frigate snapshot.jpg for facial recognition
    snapshot: 10
    # process frigate images from frigate/+/person/snapshot topics
    mqtt: true
    # add a delay expressed in seconds between each detection loop
    delay: 0

  image:
    # height of frigate image passed for facial recognition
    height: 500

  # only process images from specific cameras
  cameras:
    # - front-door
    # - garage

  # only process images from specific zones
  zones:
    # - camera: garage
    #   zone: driveway

  # override frigate attempts and image per camera
  events:
    # front-door:
    #   attempts:
    #     # number of times double take will request a frigate latest.jpg for facial recognition
    #     latest: 5
    #     # number of times double take will request a frigate snapshot.jpg for facial recognition
    #     snapshot: 5
    #     # process frigate images from frigate/<camera-name>/person/snapshot topic
    #     mqtt: false
    #     # add a delay expressed in seconds between each detection loop
    #     delay: 1

    #   image:
    #     # height of frigate image passed for facial recognition (only if using default latest.jpg and snapshot.jpg)
    #     height: 1000
    #     # custom image that will be used in place of latest.jpg
    #     latest: http://camera-url.com/image.jpg
    #     # custom image that will be used in place of snapshot.jpg
    #     snapshot: http://camera-url.com/image.jpg

# camera settings (default: shown below)
cameras:
  front-door:
    # apply masks before processing image
    # masks:
    #   # list of x,y coordinates to define the polygon of the zone
    #   coordinates:
    #     - 1920,0,1920,328,1638,305,1646,0
    #   # show the mask on the final saved image (helpful for debugging)
    #   visible: false
    #   # size of camera stream used in resizing masks
    #   size: 1920x1080

    # override global detect variables per camera
    # detect:
    #   match:
    #     # save match images
    #     save: true
    #     # include base64 encoded string in api results and mqtt messages
    #     # options: true, false, box
    #     base64: false
    #     # minimum confidence needed to consider a result a match
    #     confidence: 60
    #     # minimum area in pixels to consider a result a match
    #     min_area: 10000

    #   unknown:
    #     # save unknown images
    #     save: true
    #     # include base64 encoded string in api results and mqtt messages
    #     # options: true, false, box
    #     base64: false
    #     # minimum confidence needed before classifying a match name as unknown
    #     confidence: 40
    #     # minimum area in pixels to keep an unknown result
    #     min_area: 0

    # snapshot:
    #   # process any jpeg encoded mqtt topic for facial recognition
    #   topic:
    #   # process any http image for facial recognition
    #   url:

# detector settings (default: shown below)
detectors:
  compreface:
    url:
    # recognition api key
    key:
    # number of seconds before the request times out and is aborted
    timeout: 15
    # minimum required confidence that a recognized face is actually a face
    # value is between 0.0 and 1.0
    det_prob_threshold: 0.8
    # require opencv to find a face before processing with detector
    opencv_face_required: false
    # comma-separated slugs of face plugins
    # https://github.com/exadel-inc/CompreFace/blob/master/docs/Face-services-and-plugins.md)
    # face_plugins: mask,gender,age
    # only process images from specific cameras, if omitted then all cameras will be processed
    # cameras:
    #   - front-door
    #   - garage

  rekognition:
    aws_access_key_id: !secret aws_access_key_id
    aws_secret_access_key: !secret aws_secret_access_key
    aws_region:
    collection_id: double-take
    # require opencv to find a face before processing with detector
    opencv_face_required: true
    # only process images from specific cameras, if omitted then all cameras will be processed
    # cameras:
    #   - front-door
    #   - garage

  deepstack:
    url:
    key:
    # number of seconds before the request times out and is aborted
    timeout: 15
    # require opencv to find a face before processing with detector
    opencv_face_required: false
    # only process images from specific cameras, if omitted then all cameras will be processed
    # cameras:
    #   - front-door
    #   - garage

  facebox:
    url:
    # number of seconds before the request times out and is aborted
    timeout: 15
    # require opencv to find a face before processing with detector
    opencv_face_required: false
    # only process images from specific cameras, if omitted then all cameras will be processed
    # cameras:
    #   - front-door
    #   - garage

# opencv settings (default: shown below)
# docs: https://docs.opencv.org/4.6.0/d1/de5/classcv_1_1CascadeClassifier.html
opencv:
  scale_factor: 1.05
  min_neighbors: 4.5
  min_size_width: 30
  min_size_height: 30

# schedule settings (default: shown below)
schedule:
  # disable recognition if conditions are met
  disable:
    # - days:
    #     - monday
    #     - tuesday
    #   times:
    #     - 20:00-23:59
    #   cameras:
    #     - office
    # - days:
    #     - tuesday
    #     - wednesday
    #   times:
    #     - 13:00-15:00
    #     - 18:00-20:00
    #   cameras:
    #     - living-room

# notify settings (default: shown below)
notify:
  gotify:
    url:
    token:
    priority: 5

    # only notify from specific cameras
    # cameras:
    #   - front-door
    #   - garage

    # only notify from specific zones
    # zones:
    #   - camera: garage
    #     zone: driveway

# time settings (default: shown below)
time:
  # defaults to iso 8601 format with support for token-based formatting
  # https://github.com/moment/luxon/blob/master/docs/formatting.md#table-of-tokens
  format:
  # time zone used in logs
  timezone: UTC

# log settings (default: shown below)
# options: silent, error, warn, info, http, verbose, debug, silly
logs:
  level: info

# ui settings (default: shown below)
ui:
  # base path of ui
  path:

  pagination:
    # number of results per page
    limit: 50

  thumbnails:
    # value between 0-100
    quality: 95
    # value in pixels
    width: 500

  logs:
    # number of lines displayed
    lines: 500

# telemetry settings (default: shown below)
# self hosted version of plausible.io
# 100% anonymous, used to help improve project
# no cookies and fully compliant with GDPR, CCPA and PECR
telemetry: true

mqtt:
  host: localhost
  username: mqtt
  password: !secret mqtt_password

detectors:
  compreface:
    url: localhost:8000
    key: !secret compreface_key

mqtt_password: <password>
compreface_key: <api-key>