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Prerequisite

sudo apt update
sudo apt install software-properties-common -y

Add custom APT repository

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$ sudo apt update
$ sudo apt install python3-opencv


$ sudo apt install build-essential cmake git pkg-config libgtk-3-dev
$ sudo apt install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libxvidcore-dev libx264-dev
$ sudo apt install libjpeg-dev libpng-dev libtiff-dev gfortran openexr libatlas-base-dev
$ sudo apt install python3-dev python3-numpy libtbb2 libtbb-dev libdc1394-22-de

$ mkdir ~/opencv_build && cd ~/opencv_build

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# version
Nvidia driver 440
Cuda 10
Cudnn 7.6.4

# Nvidia deriver
// $ sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev
// $ sudo apt install nvidia-cuda-toolkit gcc-6
$ sudo add-apt-repository ppa:graphics-drivers/ppa
$ sudo apt update

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$ sudo apt-get install python-dev python-pip libxml2-dev libxslt1-dev zlib1g-dev libffi-dev libssl-dev
$ sudo apt install python3-pip

ubuntu18 have numpy version 1.19.1, downgrade to 1.16.4
$ pip3 uninstall numpy
$ pip3 install numpy==1.16.4


$ sudo pip3 install keras==2.3.1
$ sudo pip3  install --user --upgrade tensorflow-gpu==1.14.0

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sudo apt-get install python-dev python-pip libxml2-dev libxslt1-dev zlib1g-dev libffi-dev libssl-dev
sudo pip3 install scrapy
sudo apt install libzmq3-dev
sudo pip3 install pyzmq 
sudo pip3 install pygments
sudo apt-get install qt4-dev-tools qt4-doc qt4-qtconfig qt4-demos qt4-designer
sudo pip3 install qtconsole
sudo pip3 install ipython
sudo pip3 install nbconvert

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version mapping  
https://www.tensorflow.org/install/source_windows#tested_build_configurations  
  
version  
CUDA: 10.0  
Cudnn: 7.4.2  
  
=== CUDA ===
Download: https://developer.nvidia.com/cuda-toolkit-archive?spm=a2c4e.10696291.0.0.7b5819a4F6rq7s
$ sudo sh cuda_10.0.130_410.48_linux.run

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安裝 nvidia driver
試過幾種方法，最後還是覺得用apt來安裝比較妥當 先新增repository、update、裝driver

$ sudo add-apt-repository ppa:graphics-drivers/ppa
$ sudo apt update
$ sudo apt install ubuntu-drivers-common
然後用這個指令

$ ubuntu-drivers devices
看一下現在的驅動程式狀態

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# execute on background

1. create folder "autostart"
create a file named xxx.desktop in /home/pi/.config/autostart/
$ cd /home/pi/.config
$ mkdir autostart

2. create file "xxx.desktop"
content as following

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Step #1: Expand filesystem and reclaim space
The first step is to run, raspi-config and expand your filesystem:
$ sudo raspi-config
“7 Advanced Options” -> “A1 Expand filesystem”
$ sudo reboot

deleting both Wolfram Engine and LibreOffice to reclaim ~1GB of space on your Raspberry Pi:
$ sudo apt-get purge wolfram-engine
$ sudo apt-get purge libreoffice*
$ sudo apt-get clean

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install virtualenv
$ pip3 install virtualenv

create virtualenv
$ sudo virtualenv test

activate virtualenv
$ cd test
$ source bin/activate