Guide to install dlib on ubuntu 18.08 with CUDA support

install-dlib-ubuntu-with-cuda

# In this post, we will provide step by step instructions on how to install Dlib on Ubuntu.

# Step 1: Install OS libraries


sudo apt-get install build-essential cmake pkg-config
sudo apt-get install libx11-dev libatlas-base-dev
sudo apt-get install libgtk-3-dev libboost-python-dev
Step 2: Install Python libraries


sudo apt-get install python-dev python-pip python3-dev python3-pip
sudo -H pip2 install -U pip numpy
sudo -H pip3 install -U pip numpy
# We will use Virtual Environment to install Python libraries. It is generally a good practice in order to separate your project environment and global environment.


# Install virtual environment
sudo pip2 install virtualenv virtualenvwrapper
sudo pip3 install virtualenv virtualenvwrapper
echo "# Virtual Environment Wrapper" >> ~/.bashrc
echo "source /usr/local/bin/virtualenvwrapper.sh" >> ~/.bashrc
source ~/.bashrc
  
############ For Python 2 ############
# create virtual environment
mkvirtualenv facecourse-py2 -p python2
workon facecourse-py2
  
# now install python libraries within this virtual environment
pip install numpy scipy matplotlib scikit-image scikit-learn ipython
  
# quit virtual environment
deactivate
######################################
  
############ For Python 3 ############
# create virtual environment
mkvirtualenv facecourse-py3 -p python3
workon facecourse-py3
  
# now install python libraries within this virtual environment
pip install numpy scipy matplotlib scikit-image scikit-learn ipython
  
# quit virtual environment
deactivate
######################################
#Step 3: Compile DLib

# Install GCC v6 to CUDA ENABLE
sudo apt-get update && \
sudo apt-get install build-essential software-properties-common -y && \
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \
sudo apt-get update && \
sudo apt-get install gcc-6 g++-6 -y && \
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-6 60 --slave /usr/bin/g++ g++ /usr/bin/g++-6 && \
gcc -v

#Step 3.1: Compile C++ binary

#Davis King, creator of Dlib, recommends using CMake for using Dlib in your code.
#But if you want to use Dlib as a library follow these steps:

wget http://dlib.net/files/dlib-19.17.tar.bz2
tar xvf dlib-19.17.tar.bz2
cd dlib-19.17/
mkdir build
cd build
cmake ..
cmake --build . --config Release
sudo make install
sudo ldconfig
cd ..

#Now you can use pkg-config to provide path to Dlib’s include directory and link Dlib library file.

pkg-config --libs --cflags dlib-1

#Step 3.2: Compile Python module

#Activate Python virtual environment.

############ For Python 2 ############
workon facecourse-py2
 
############ For Python 3 ############
workon facecourse-py3
#Now let’s compile and install Dlib’s Python module.


# move to dlib's root directory
cd dlib-19.6
python setup.py install
# clean up(this step is required if you want to build dlib for both Python2 and Python3)
rm -rf dist
rm -rf tools/python/build
rm python_examples/dlib.so

#We have cleaned up few files and directories because Dlib creates Python modules for Python2 and Python3 with the same name. Suppose you ran the setup.py in Python2 virtual environment, it will generate dlib.so in python_examples directory. Now if you deactivate Python2 virtual env, activate Python3 virtual env and run setup.py file, it will replace dlib.so (which was compiled with Python2) in python_examples directory with newer one (which is compiled with Python3). When you will try to run any python_example from within this directory, it will import this dlib.so instead of one located in site-packages or dist-packages directory and throw an error. Although this error won’t occur is a local copy of dlib.so is not present in current directory but it is better to remove local copies to avoid any confusion.

#For consistency, we have installed Python and C++ binaries of Dlib using the same source code.

#If you are going to use only Python module of Dlib you can also install Python bindings for Dlib using pip.

pip install dlib
#Now you can exit from Python virtual environment.


deactivate
# Now, whenever you are going to run Python scripts which use Dlib you have to activate the virtual environment using workon command.

guide from: https://www.learnopencv.com/install-dlib-on-ubuntu/
and gcc install code from: https://gist.github.com/zuyu/7d5682a5c75282c596449758d21db5ed