Steps to quickly create a deep learning environment on Mac with TensorFlow and OpenCV

Introduction

Now that you've purchased a new MacBook Air, here's what you need to do to build the same environment as your old MacBook Air. It feels like I'm writing it down for myself so I don't have to worry about re-setup, but I'm hoping that sharing it might be good for someone else.

Main steps

Install in the following order.

1. Xcode
2. pyenv
3. anaconda
4. autoconf、automake、libtool、CMake
5. OpenCV
6. TensorFlow

Xcode

Launch the App Store and install Xcode.

pyenv and anaconda

Create and execute the following script.

• Here, install the latest version 4.3.1 anaconda as of May 6, 2017.

pyenv_installer.sh

git clone https://github.com/yyuu/pyenv.git ~/.pyenv

echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo 'eval "$(pyenv init -)"' >> ~/.bashrc

echo 'if [ -f ~/.bashrc ] ; then' >> ~/.bash_profile
echo '. ~/.bashrc' >> ~/.bash_profile
echo 'fi' >> ~/.bash_profile

source ~/.bashrc

pyenv install anaconda3-4.3.1
pyenv rehash
pyenv global anaconda3-4.3.1

echo 'export PATH="$PYENV_ROOT/versions/anaconda3-4.3.1/bin/:$PATH"' >> ~/.bashrc
source ~/.bashrc

XGBoost

Execute the following command.

python

conda install py-xgboost

Jupyter Notebook Settings

Download the IPA font.

Download IPA font

After downloading, create and execute the following script

jupyter_setup.sh

cd ~/Downloads
unzip IPAfont00303.zip
mv IPAfont00303/*.ttf ~/.pyenv/versions/anaconda3-4.3.1/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/ttf/

jupyter notebook --generate-config
echo "c.NotebookApp.notebook_dir = u'notebook'" >> ~/.jupyter/jupyter_notebook_config.py

autoconf、automake、libtool、CMake

Create the following script.

tools_installer.sh

cd ~/Downloads
curl -OL http://ftpmirror.gnu.org/autoconf/autoconf-latest.tar.gz
tar xzf autoconf-latest.tar.gz
cd autoconf-*
./configure --prefix=/usr/local
make && sudo make install

cd ~/Downloads
curl -fL http://ftpmirror.gnu.org/automake/automake-1.15.tar.gz | tar xzf -
cd automake-*
./configure --prefix=/usr/local
make && sudo make install

cd ~/Downloads
curl -fL http://ftpmirror.gnu.org/libtool/libtool-2.4.6.tar.gz | tar xzf -
cd libtool-*
./configure --prefix=/usr/local
make && sudo make install

cd ~/Downloads
curl -OL https://cmake.org/files/v3.8/cmake-3.8.1-Darwin-x86_64.tar.gz
tar xzf cmake-3.8.1-Darwin-x86_64.tar.gz
cd cmame-*
cp CMake.app /Applications/

ln -s "/Applications/CMake.app/Contents/bin/ccmake" /usr/local/bin/ccmake
ln -s "/Applications/CMake.app/Contents/bin/cmake" /usr/local/bin/cmake
ln -s "/Applications/CMake.app/Contents/bin/cmake-gui" /usr/local/bin/cmake-gui
ln -s "/Applications/CMake.app/Contents/bin/cmakexbuild" /usr/local/bin/cmakexbuild
ln -s "/Applications/CMake.app/Contents/bin/cpack" /usr/local/bin/cpack
ln -s "/Applications/CMake.app/Contents/bin/ctest" /usr/local/bin/ctest

Execute with administrator privileges.

python

$ sudo sh tools_installer.sh

FFmpeg

Install FFmpeg to handle videos with OpenCV. It also installs pkg-config and yasm, which are required to install FFmpeg.

ffmpeg_installer.sh

cd ~/Downloads
curl -LO https://pkg-config.freedesktop.org/releases/pkg-config-0.29.2.tar.gz
tar xf pkg-config-0.29.2.tar.gz
cd pkg-config-0.29.2
./configure --with-internal-glib
make && make install

cd ~/Downloads
curl -LO http://www.tortall.net/projects/yasm/releases/yasm-1.3.0.tar.gz
tar xf yasm-1.3.0.tar.gz
cd yasm-1.3.0
./configure
make && make install

cd ~/Downloads
curl -LO http://www.ffmpegmac.net/resources/ffmpeg-3.3.1.tar.bz2
tar xf ffmpeg-3.3.1.tar.bz2
cd ffmpeg-3.3.1
./configure
make && make install

Execute with administrator privileges.

python

$ sudo sh ffmpeg_installer.sh

OpenCV

Create the following script.

• Please rewrite the [username] part in the script according to each environment.

opencv_installer.sh

cd ~/Downloads
git clone https://github.com/Itseez/opencv.git opencv
git clone https://github.com/Itseez/opencv_contrib.git opencv_contrib

cd opencv
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D BUILD_SHARED_LIBS=OFF \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D FFMPEG=ON \
-D PYTHON3_EXECUTABLE=/Users/[username]/.pyenv/versions/anaconda3-4.3.1/bin/python \
-D PYTHON3_INCLUDE_DIR=/Users/[username]/.pyenv/versions/anaconda3-4.3.1/include/python3.6m \
-D PYTHON3_LIBRARY=/Users/[username]/.pyenv/versions/anaconda3-4.3.1/lib/libpython3.6m.dylib \
-D PYTHON3_NUMPY_INCLUDE_DIRS=/Users/[username]/.pyenv/versions/anaconda3-4.3.1/lib/python3.6/site-packages/numpy/core/include \
-D PYTHON3_PACKAGES_PATH=/Users/[username]/.pyenv/versions/anaconda3-4.3.1/lib/python3.6/site-packages \
-D INSTALL_C_EXAMPLES=OFF \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D BUILD_EXAMPLES=ON \
-D BUILD_opencv_python3=ON \
-D OPENCV_EXTRA_MODULES_PATH=~/Downloads/opencv_contrib/modules \
..
make -j4
make install

Execute with administrator privileges.

python

$ sudo sh opencv_installer.sh

TensorFlow

Execute the following command.

python

$ pip install tensorflow

Operation check

Check if OpenCV and TensorFlow can be read. If there is no error, OK.

python

$ python
Python 3.6.0 |Anaconda 4.3.1 (x86_64)| (default, Dec 23 2016, 13:19:00) 
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
>>> import tensorflow as tf
>>> exit()
$ 

It was done (^-^)

This will set up the operating environment for the code in the following article.

Try porting the code of the article "Determining which university a beautiful woman is likely to be in by CNN" to Python3 series

bonus

I also installed iRuby, which enables you to use Ruby with Jupyter Notebook. Create and execute the following script.

iruby_installer.sh

git clone git://github.com/sstephenson/rbenv.git ~/.rbenv
git clone https://github.com/sstephenson/ruby-build.git ~/.rbenv/plugins/ruby-build

echo 'export RBENV_ROOT="$HOME/.rbenv"' >> ~/.bashrc
echo 'export PATH="$RBENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo 'eval "$(rbenv init -)"' >> ~/.bashrc

source ~/.bashrc

rbenv install 2.4.1
rbenv rehash
rbenv global 2.4.1

gem install rbczmq
gem install iruby
gem install erector
iruby notebook

It was done (^-^)

Another bonus

In order for Safari to start automatically when jupyter notebook is started, add the following line to the configuration file.

python

c.NotebookApp.browser = u'/usr/bin/open -a Safari %s'