A Home Assistant custom component for Lobe. Lobe is an AI tool that can classify images.

Last update: Feb 28, 2022

Overview

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:

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Releases(v0.1.0)

v0.1.0(May 1, 2021)
First release of the Lobe component. Things I want to add in the future:

"Error" class handling that doesn't update the tag if the most likely prediction is "Error". You could use this feature if sometimes the camera malfunctions by creating an "Error" class.

A feature that requires a class to be predicted multiple times in order to be set, to account for the model sometimes being incorrect.

Post on reddit / HA forums

Source code(tar.gz)
Source code(zip)

Owner

Kendell R

Here to make stuff, do stuff, help out with stuff.

GitHub Repository

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