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 a Rerun logger and saved to RRD files, which can be visualized later using the Rerun Viewer.
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 view # ARFlow port 8500, view mode, no save to files
arflow save -p 1234 -s ./ # ARFlow port 1234, save to current working directory
arflow rerun ./FRAME_DATA_PATH.rrd # replay ARFlow data file
arflow rerun *.rrd # replay multiple ARFlow data files
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.