- Conda, e.g. Miniconda download
- Coppelia Sim simulator (install)
- (Recommended) Use version 4.1 (PyRep can have problems with newer versions)
- Please install Coppelia Sim files to your home folder:
~/CoppeliaSim
cd ~
wget --no-check-certificate https://www.coppeliarobotics.com/files/CoppeliaSim_Edu_V4_1_0_Ubuntu20_04.tar.xz
tar -xf CoppeliaSim_Edu_V4_1_0_Ubuntu20_04.tar.xz
mv CoppeliaSim_Edu_V4_1_0_Ubuntu20_04 CoppeliaSim
rm CoppeliaSim_Edu_V4_1_0_Ubuntu20_04.tar.xz
- Leap Motion Controller as a hand sensor (install, use version 2.3.1)
tar -xvzf Leap_Motion_SDK_Linux_2.3.1.tgz
cd LeapDeveloperKit_2.3.1+31549_linux/
sudo dpkg -i Leap-2.3.1+31549-x64.deb
- Packages install with mamba:
conda install mamba -c conda-forge # Install mamba
mamba create -n cbgo_env python=3.8
conda activate cbgo_env
mamba env update -n cbgo_env --file environment.yml
# Reactivate conda env before proceeding.
conda deactivate
conda activate cbgo_env
export ws=<path/to/catkin/ws>
mkdir -p $ws/src
cd $ws/src
git clone https://github.com/imitrob/context_based_gesture_operation.git
git clone https://github.com/imitrob/teleop_gesture_toolbox.git
git clone https://github.com/imitrob/coppelia_sim_ros_interface.git
cd $ws
rosdep init
rosdep update
rosdep install --from-paths src --ignore-src -r -y
catkin build
source $ws/devel/setup.bash
# make activation script
echo "export ws=$ws
conda activate cbgo_env
source $ws/devel/setup.bash
export COPPELIASIM_ROOT=$HOME/CoppeliaSim
export LD_LIBRARY_PATH=$HOME/CoppeliaSim;
export QT_QPA_PLATFORM_PLUGIN_PATH=$HOME/CoppeliaSim;" > ~/activate_cbgo.sh
source ~/activate_cbgo.sh
cd $ws/src
git clone https://github.com/imitrob/PyRep.git
cd PyRep
pip install .
- Use sample NN example:
- Download model (12MB) and move the file to
context_based_gesture_operation/trained_networks
folder or use thedownload_sample.py
script which should do the download by automatically
- Download model (12MB) and move the file to
# In terminal 1:
source ~/activate_cbgo.sh
roscore
# in terminal 2:
source ~/activate_cbgo.sh
jupyter-lab
TODO: ADD VISUALS
- Dataset generator (
nb11_dataset_generation_complete
) - Mapping gestures to intent, model evaluation (
nb12_model_classification_complete
) - System pipeline (
nb15_system_pipeline_complete
)
- Robot simulation (
nb10_robot_interface
) - Behavior tree (
nb14_btree_complete
) - Scene model introduction (
nb01_scene_and_actions
) - Scene model moves (
nb04_moves
) - Scene model additional features (
nb07_scene_additional_features
)