KTibow / lobe-home-assistant

Custom integration to use Lobe with cameras in Home Assistant.

Lobe

This is a Home Assistant custom component for Lobe. Lobe is an AI tool that can classify images. This component lets you easily use an exported model along with another server to classify a camera entity's feed with it.

Installation

Use HACS for the integration. You'll also need a seperate server. Steps to install on another server:

• Install the Lobe library.
• Install Flask.
• Export a Tensorflow Lite model into a folder on the server.
• Copy over app.py and change the folder location.
• Run app.py.
• You'll probably want to make it run on start.

Configuration

This is the configuration format:

image_processing:
  - platform: lobe
    entity_id: camera.front_door_livestream # Camera entity ID
    name: "Front Door Status" # Optional; Custom name
    server: "http://lobeserver.local:5623" # Server address
    scan_interval: 2 # Optional; How often to update

It will produce an entity something like this: