DOODS

Dedicated Open Object Detection Service - Yes, it's a backronym, so what...

DOODS is a GRPC service that detects objects in images. It's designed to be run as a container, optionally remotely.

HASS

This is a hass component that follows the image_processing component type.

It loosely follows the tensorflow configuration.

image_processing:
  - platform: doods
    scan_interval: 1000
    url: "http://<my docker host>:8080"
    detector: default
    file_out:
      - "/tmp/{{ camera_entity.split('.')[1] }}_latest.jpg"
    source:
      - entity_id: camera.front_yard
    confidence: 50
    area:
      # All detections must be inside this area to trigger
      top: 0.1
      # If true the entire detection must be inside the box
      # If false if any part of the detection is in the box it will trigger
      # defaults to true for legacy compatibility
      contains: true
    labels:
      - name: person
        confidence: 40
        area:
          # Exclude top 10% of image
          top: 0.1
          # Exclude right 15% of image
          right: 0.85
          # If true the entire detection must be inside the area
          # If false, if any part of the detection is in the box it will trigger
          # defaults to true for legacy compatibility
          contains: false
      - car
      - truck