and effectively a fork of this repo, with modifications from @fabian-horst
In folder python, the file install.sh contains instructions to setup Miniconda3-based virtual environments for python, as required by our code.
Option A only considers CPU hardware, while option B enables GPU support
for neural network training and evaluation. Comment/uncomment the lines appropriately.
All recorded gait data used in the paper is available in folder python/data.
Training- and evaluation scripts for fully reproducing the data splits, models and prediction explanations are
provided with files python/gait_experiments_batch*.py.
The folder sge contains files *.args, presenting the mentioned training-evaluation runs as (probably more) handy command line parameters, one per line, either to be called directly as
python gait_experiments.py ${ARGS_LINE}
or to be submitted to a SUN Grid Engine with
python sge_job_simple.py your_file_of_choice.args
Some paths and variables need to be adjusted.