This project reads the telemetry data from a physical AWS DeepRacer car and displays the current throttle as a live Gauge chart.
The background is set as a bright green colour, designed to be used as an overlay graphic in OBS for use in the DeepRacer Underground series of streamed races.
There are two moving parts:
- A small web server which publishes the gauge chart as a simple HTML page.
- A client app which SSH's to the DeepRacer car and streams the telemetry data, and then pushes to the web server via a websocket connection.
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
The server can be installed anywhere, locally or elsewhere (I use a micro EC2 instance when it needs to be public)
Unless you are running the server on the same machine as your web browser you must edit server/html/index.html
and set websocket_url
to the IP of the machine running the server.
source venv/bin/activate (if not already active)
cd server
uvicorn main:app --reload
Note that by default it will only listen on http://127.0.0.1:8000
If you want the server to be exposed publically then use the following command instead:
uvicorn main:app --host 0.0.0.0 --port 8000
Do this in another terminal window.
Edit telemetry_client.py and set the car IP and password. You also need to set the hostname/IP of the server URL. If you're running the server locally then you can leave this at it's default.
source venv/bin/activate
python ./telemetry_client.py
Now browse to the URL of the server (defaults to http://127.0.0.1:8000) to view the gauge. When you change the throttle via the standard DeepRacer web interface the gauge should update.