@Author: damminhtien 
@LastUpdate: 16/11/2019
This tutorial for Ubuntu 18.x and computer with Nvidia GPU, install tensorflow-gpu and opencv.
It require you must install specific version of Cuda, CuDnn to use GPU power. Find more on this link.
Let’s start! 
1. Install anaconda
# Download Anaconda from it's official website:
https://www.anaconda.com/distribution/#download-section
# Execute anaconda downloaded file:
bash Anaconda3-5.2.0-Linux-x86_64.sh
# Add environment path to use conda everywhere:
PATH=/home/u/anaconda3/bin:$PATH
# Install anaconda-navigator and update:
conda install -c anaconda anaconda-navigator -y
conda update conda
conda update --all
# Create conda environment for tensorflow (example)
conda create -n tf python=3.6 tensorflow-gpu keras-gpu tensorflow keras
conda activate tf
conda deactivate
2. Install OpenCV 3.4.4
https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv/
3. Install Nvidia driver
There are two way to install nvida driver on ubuntu: GUI or CMD. Find more in this link.
sudo apt-get install --no-install-recommends nvidia-driver-418
# Reboot. Check that GPUs are visible using the command: nvidia-smi
4. Add Nvidia package
Add NVIDIA package repositories
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo apt-get update
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt-get update
5. Install CUDA, CuDnn and TensorRT
# Install development and runtime libraries (~4GB)
sudo apt-get install --no-install-recommends \
cuda-10-0 \
libcudnn7=7.6.0.64-1+cuda10.0 \
libcudnn7-dev=7.6.0.64-1+cuda10.0
# Install TensorRT. Requires that libcudnn7 is installed above.
sudo apt-get update && \
&& sudo apt-get install -y --no-install-recommends libnvinfer-dev=5.1.5-1+cuda10.0
Conclusion
Well done, if you run above command lines without error, you would get powerful libraries for computer vision. In this tutorial, we intro how to install neccessary packages for computer vision - focus in tensorflow-gpu - in 5 steps:
- Install Anaconda
- Install OpenCV
- Install NVIDIA driver
- Install NVIDIA packages
- Install CUDA, CUDNN and TensorRT
Finallyyy, you can enjoy them now!!! 