The ARFlow Python server collects streaming data from your ARFlow clients. The server is designed to be easily extensible and can be integrated with your own research prototype. Data is streamed to the rerun logger and saved to a pickle file at the end of a session, which can be visualized later using the ARFlow Player.
The ARFlow server can be simply installed via pip:
# Create a python environment using your favorite tool, then
pip install arflowHere are some example usages of the ARFlow server CLI:
arflow serve # ARFlow port 8500, no save file
arflow serve -p 1234 -s ./ # ARFlow port 1234, save to current working directory
arflow replay ./FRAME_DATA_PATH.pkl # replay ARFlow data file
arflow -h # show helpCheck out the examples. We recommend starting with the simple example.
We welcome contributions to ARFlow! Please refer to the CONTRIBUTING.md file for more information.