to be described
Copyright RRD
python3 is used.
Under Linux, a standard installation in a local environment is obtained using:
python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install -r src/pi_walk_slope/requirements.txt
pip install -e src/pi_walk_slope
#once done
deactivate
Under Linux, assuming the folder out is already created:
# focusing on the gait analysis
run_pi_gait test/input/subject_00_cond_5_run_00_gaitEvents.yaml out
# looking at the joint parameter as well
run_pi_joint test/input/subject_00_cond_5_run_00_gaitEvents.yaml test/input/subject_00_cond_5_run_00_jointAngles.csv out
# checking th emg file:
run_pi_emg test/input/subject_00_cond_5_run_00_emg.csv test/input/subject_00_cond_5_run_00_gaitEvents.yaml out
# combining the three
run_pi_walk_slope test/input/subject_00_cond_5_run_00_gaitEvents.yaml test/input/subject_00_cond_5_run_00_jointAngles.csv test/input/subject_00_cond_5_run_00_emg.csv out
(only tested under Linux)
Run the following command in order to create the docker image for this PI:
docker build . -t pi_walk_slopeAssuming test/input contains the input data, and that the directory out/ is already created, and will contain the PI output:
docker run --rm -v $PWD/test/input:/in -v $PWD/out:/out pi_walk_slope run_pi_walk_slope /in/subject_00_cond_5_run_00_gaitEvents.yaml /in/subject_00_cond_5_run_00_jointAngles.csv /in/subject_00_cond_5_run_00_emg.csv /out
Supported by Eurobench - the European robotic platform for bipedal locomotion benchmarking. More information: Eurobench website
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 779963.
The opinions and arguments expressed reflect only the author‘s view and reflect in no way the European Commission‘s opinions. The European Commission is not responsible for any use that may be made of the information it contains.