lmerza/frigate_plate_recognizer repository overview

⁠Frigate Plate Recognizer

Identify license plates via Plate Recognizer⁠ and add them as sublabels to blakeblackshear/frigate⁠

https://github.com/ljmerza/frigate_plate_recognizer⁠

⁠Setup

Create a config.yml file in your docker volume with the following contents:

frigate:
  frigate_url: http://127.0.0.1:5000
  mqtt_server: 127.0.0.1
  mqtt_auth: false
  mqtt_username: username
  mqtt_password: password
  main_topic: frigate
  camera:
    - driveway_camera
  min_score: .8
plate_recognizer:
  token: xxxxxxxxxx
  regions: 
    - us-ca
logger_level: INFO

Update your frigate url, mqtt server settings. If you are using mqtt authentication, update the username and password. Update the camera name(s) to match the camera name in your frigate config. Add your Plate Recognizer API key and region(s).

You'll need to make an account (free) here⁠ and get an API key. You get up to 2,500 lookups per month for free. You will also need to enable car object detection for the cameras you want to use this with.

You can specify a custom url for the plate_recognizer api by adding api_url to your config:

plate_recognizer:
  api_url: http://HOST-IP:8080/v1/plate-reader
  token: xxxxxxxxxx
  regions: 
    - us-ca

See here⁠ on how to locally host Plate Recognizer.

⁠Running

docker run -v /path/to/config:/config -e TZ=America/New_York -it --rm --name frigate_plate_recognizer lmerza/frigate_plate_recognizer:latest

or using docker-compose:

services:
  frigate_plate_recognizer:
    image: lmerza/frigate_plate_recognizer:latest
    container_name: frigate_plate_recognizer
    volumes:
      - /path/to/config:/config
    restart: unless-stopped
    environment:
      - TZ=America/New_York

https://github.com/ljmerza/frigate_plate_recognizer⁠

⁠Debugging

set logger_level in your config to DEBUG to see more logging information:

logger_level: DEBUG

Logs will be in /config/frigate_plate_recognizer.log