To install simply navigate to the installation directory and run
docker build -t lofasmtools .To start the Docker instance and make use of the bundled tools on locally hosted data you will need to mount the local directory containing your dataset at runtime.
docker run -it -v </path/to/data/directory>:/root/data lofasmtools The above command will drop you in a bash shell. The following working Python3 tools are already in the path:
explorebbx2d: plot BBX files (.bbx or .bbx.gz formats)
The following Python3 tools are in the path but need to be fixed in the Docker installation:
lofasm_plot.py: plot and animate filterbank files stored in the old .lofasm (or .lofasm.gz) formatloco2bx.py: convert .lofasm and .lofasm.gz files into BBX format (saved as .bbx.gz files)
The following C/C++ tools are compiled and test working but not in the path:
lofasm2bbx: convert .lofasm and .lofasm.gz files into BBX format.- located at: /root/repos/lofasmio2/build/src/lofasm2bbx/lofasm2bbx