The purpose of this repository is to help students of MVA master install DeepMimic and run tests as fast as possible. We actually lost several days attempting to make these installations. I hope it wouldn't be the case for you.

We will be using Google cloud Virtual Machines.

Note that there are two parts in DeepMimic :

• First, visualising the results
• Second, launching trainings

We will show only how to launch trainings which is the most important part of the project. One advice, start testing trainings early !! it takes minimum 24 hours for each test.

• Go to Compute Engine / VM Instances
• Create a new VM
• Choose a VM with 16vCPU
• Choose Ubuntu 16.04 LTS

• Clone the repository

git clone https://github.com/hamzakabbaj/DeepMimic_Cloud_Installation.git

• install packages

sudo apt-get update
sudo apt-get install cmake build-essential clang llvm python-dev freeglut3-dev libbullet-dev libbullet-extras-dev  libglew-dev swig libopenmpi-dev  python3-pip

• install virtualenv

pip3 install virtualenv

• Create a virtual environement and activate it (working with a virtual environment is necessary)

virtualenv env_deep_mimic
source env_deep_mimic/bin/activate

• install python packages

pip install pyopengl mpi4py tensorflow numpy

• install requirements

cd DeepMimic_Cloud_Installation/DeepMimic
pip install -r requirements.txt

• change Makefile and install DeepMimicCore

cd DeepMimicCore
vi Makefile

# DONT FORGET TO CHANGE EIGEN PATH !!!!!
EIGEN_DIR = /home/<Name of your machine>/DeepMimic_Cloud_Installation/eigen # <=== look for the actual path depending on the name of your machine
BULLET_INC_DIR = /usr/include/bullet 

PYTHON_INC = /usr/include/python3.5m
PYTHON_LIB = /usr/lib/ -lpython3.5m

• launch DeepMimicCore installation :

make python

• CONGRATULATION !! You can now launch training

cd ../
python mpi_run.py --arg_file args/train_humanoid3d_kick_args.txt --num_workers 16