cd /python_visual_mpc/visual_mpc_core/infrastructure/utility
python parallel_data_collection.py <name_of_datafolder>
Note: <name_of_datafolder> is the folder-name inside lsdc/pushing_data Each of the folders in pushing_data must have a "/train" and "/test" subdirectory. The hyperparams.py file to specifies how the data-collection is done.
See Readme.md in python_visual_mpc/video_prediction
cd /python_visual_mpc/visual_mpc_core
python benchmarks.py <benchmark_folder_name>
In order to run rendering remotely on a different machine it is necessary to give remote users access to the x server: Log into graphical session on remote computer and give access by typing: xhost +
Also set the DISPLAY variable export DISPLAY=:0
cd visual_mpc/python_visual_mpc/sawyer/visual_mpc_rospkg/launch/bridgeonly.launch ./startkinect.sh
rosrun visual_mpc_rospkg joint_space_impedance.py
rosrun visual_mpc_rospkg visual_mpc_client.py <name_of_folder_inside:visual_mpc/experiments/cem_exp/benchmarks_sawyer>
rosrun visual_mpc_rospkg visual-mpc-server.py <name_of_folder_inside:visual_mpc/experiments/cem_exp/benchmarks_sawyer> --ngpu <number_of_gpus>