README.md

ARFlow Simple Example

simple.py demonstrates how to build your own custom server by extending the default ARFlow server.

First, let's start the server:

simple

Once you have your server running, you can start your ARFlow clients and connect them to the server. The server will start collecting data from the clients and save them to RRD files.

You can visualize the data using the Rerun Viewer through the ARFlow CLI rerun wrapper:

arflow rerun ./FRAME_DATA_PATH.rrd

Replace FRAME_DATA_PATH with the path to your saved RRD files and you will see the ARFlow data visualized in the Rerun Viewer.