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jetson-setup.md

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Setting up your Jetson

Introduction

The NVIDIA® Jetson Nano™ Developer Kit is a small AI computer for makers, learners, and developers. After following along with this brief guide, you’ll be ready to start building practical AI applications, cool AI robots, and more.

Write Image to the microSD Card

To prepare your microSD card, you’ll need a computer with Internet connection and the ability to read and write SD cards, either via a built-in SD card slot or adapter.

  1. Download the Jetson Nano Developer Kit SD Card Image, and note where it was saved on the computer.
  2. Format your microSD card using SD Memory Card Formatter from the SD Association:
    • Select card drive.
    • Select “Quick format”
    • Leave “Volume label” blank
    • Click “Format” to start formatting, and “Yes” on the warning dialog

  1. Use Etcher to write the Jetson Nano Developer Kit SD Card Image to your microSD card:

    • Click “Select image” and choose the zipped image file downloaded earlier.
    • Insert your microSD card if not already inserted
    • Click “Select drive” and choose the correct device
    • Click “Flash!” It will take Etcher about 10 minutes to write and validate the image if your microSD card is connected via USB3
    • After Etcher finishes, Windows may let you know it doesn’t know how to read the SD Card. Just click Cancel and remove the microSD card.

Boot your Jetson

  1. Insert the microSD card (with system image already written to it) into the slot on the underside of the Jetson Nano module.
  1. Connect Jetson Nano with mouse, keyboard, ethernet cable and monitor (HDIM or Display port).
  1. Connect a DC power supply to the J25 Power Jack (or Micro-USB power supply). The developer kit will power on automatically.

Install Requirements

1. Jetson Inference

Jetson Inference is a library of TensorRT-accelerated deep learning networks for image recognition, object detection with localization (i.e. bounding boxes), and semantic segmentation. This inferencing library (libjetson-inference) is intended to be run on the Jetson, and includes support for both C++ and Python. Various pre-trained DNN models are automatically downloaded to get you up and running quickly.

Here are the commands to build/install the project directly on your Jetson:

$ sudo apt-get update
$ sudo apt-get install git cmake libpython3-dev python3-numpy
$ git clone --recursive https://github.com/dusty-nv/jetson-inference
$ cd jetson-inference
$ mkdir build
$ cd build
$ cmake ../

Jetson Inference comes with many pre-trained networks that can you can choose to have downloaded and installed. if you don't mind about it, just skip it by clicking OK.

I recommend that you install Pytorch by ticking '*' into Pytorch v1.1.0 for Python 3.6.

Complete the installation with the following command lines:

$ make -j$(nproc)
$ sudo make install
$ sudo ldconfig

You can see more details about the instructions at Jetson Inference.

2. Tensorflow

Official TensorFlow release for Jetson Nano. Here are the commands to build/install the Tensorflow directly on your Jetson:

Check Jetpack version before install:

$ sudo apt-cache show nvidia-jetpack

Python 3.6+JetPack4.4:

$ sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
$ sudo apt-get install python3-pip
$ sudo pip3 install -U pip
$ sudo pip3 install -U pip testresources setuptools numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11

Tensorflow 2.X (Prefer for this project):

$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v44 tensorflow==2.3.0+nv20.9

Tensorflow 1.15:

$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v44 ‘tensorflow<2’

3. Others

  • Keras: 
    $ sudo pip3 install keras
  • Scipy: 
    $ sudo pip3 install scipy
  • Imutils: 
    $ sudo pip3 install imutils
  • Keyboard: 
    $ sudo pip3 install keyboard
  • Code OSS - Visual Studio Code: 
    $ sudo apt-get update
$ sudo apt-get install curl
$ curl -L https://github.com/toolboc/vscode/releases/download/1.32.3/code-oss_1.32.3-arm64.deb -o code-oss_1.32.3-arm64.deb
$ sudo dpkg -i code-oss_1.32.3-arm64.deb
$ code-oss

You have successfully set up Jetson nano to practice with Artificial Intelligence apps. Congratulations!

Reference

[1] https://github.com/dusty-nv/jetson-inference
[2] https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit