Ubuntu 18.04 on Windows 10 64 bit
https://discuss.openai.com/t/installing-openai-gym-universe-on-windows/2092
Or
Clean installation of Ubuntu 18.04
Python 3.6
OpenCV 3.4.0
Tensorflow 1.9
sudo su -
apt-get update
apt-get install -y python3-pip
pip3 install --upgrade pip
sudo apt-get install python-numpy
sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python3.6-dev
python3.6-config --includes
#The output would be
-I/usr/include/python3.6m -I/usr/include/python3.6m
cd /usr/include/python3.6m
mv pyconfig.h pyconfig.h.bak
cp /usr/include/x86_64-linux-gnu/python3.5m/pyconfig.h /usr/include/python3.5m/
cd /root
mkdir OpenCV-tmp
cd OpenCV-tmp
git clone https://github.com/Itseez/opencv.git
cd opencv
git checkout 3.4.0
cd ../OpenCV-tmp
git clone https://github.com/Itseez/opencv_contrib.git
cd opencv_contrib
git checkout 3.4.0
cd ../opencv
$ mkdir build
$ cd build
$ cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D INSTALL_C_EXAMPLES=ON \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D OPENCV_EXTRA_MODULES_PATH=/root/OpenCV-tmp/opencv_contrib/modules \
-D BUILD_EXAMPLES=ON ..
make -j $(nproc --all)
sudo make install
sudo ldconfig
Checking
python3
import cv2
cv2.__version__
(Optional)Install tqdm for model evaluation
pip3 install tqdm
install numpy matplotlib pandas
pip3 install numpy
pip3 install matplotlib
pip3 install pandas
pip3 install tensorflow
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
sudo apt install nvidia-390
Check driver installation is success
nvidia-smi
Install CUDA Toolkit 9.0
https://developer.nvidia.com/cuda-90-download-archive
sudo apt install nvidia-cuda-toolkit gcc-6 g++-6
nvcc --version
Could use update alternatives
https://askubuntu.com/questions/26498/how-to-choose-the-default-gcc-and-g-version
sudo chmod +x cuda_9.0.176_384.81_linux.run
./cuda_9.0.176_384.81_linux.run --override
Install CUDNN (ensure you are registered for the NVIDIA Developer Program)
https://developer.nvidia.com/cudnn
tar -zxvf cudnn-9.0-linux-x64-v7.1.tgz
Move the unpacked contents to your CUDA directory
sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
sudo cp cuda/include/cudnn.h /usr/local/cuda-9.0/include/
Give read access to all users
sudo chmod a+r /usr/local/cuda-9.0/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
sudo apt-get install libcupti-dev
Add environment variables
export PATH=/usr/local/cuda-9.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
Restart your terminal before proceeding to the next step. Install tensorflow-gpu
python3 -m pip install --upgrade tensorflow-gpu
python3
import tensorflow as tf
print(tf.__version__)
https://www.pyimagesearch.com/2015/07/20/install-opencv-3-0-and-python-3-4-on-ubuntu/
http://cyaninfinite.com/tutorials/installing-opencv-in-ubuntu-for-python-3/
https://linuxconfig.org/how-to-install-the-nvidia-drivers-on-ubuntu-18-04-bionic-beaver-linux