Jetson Nano - Building Jetbot Environment from Scratch

1. Flash JetPack Image to SD Card

1. Follow the official Jetson Nano Developer Kit guide to download the image and flash it to the SD card · Use the account password: Jetbot / Jetbot · Ensure the system is set to auto-login (no password required) · Insert the SD card into the Jetson Nano motherboard and power on

2. Open Terminal After booting up, press the shortcut key to open Terminal: Ctrl + Alt + T

3. Enable i2c permissions

// Enable i2c permissions
sudo usermod -aG i2c $USER;

2. Install pip3 and Python Dependencies

// Install pip and some python dependencies
sudo apt-get update
sudo apt install python3-pip python3-pil
sudo pip3 install -U pip
sudo pip3 install -U numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.6 enum34 futures testresources setuptools protobuf
sudo pip3 install --upgrade numpy

3. Install TensorFlow

Install system packages required by TensorFlow

// Install system packages required by TensorFlow
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev

Now install TensorFlow

// Installing TensorFlow
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v42 tensorflow-gpu

Verify the installation: Open Terminal, enter Python3, then type:

import tensorflow

If no error occurs, TensorFlow is successfully installed and running

4. Install PyTorch

1. Download the PyTorch wheel file You need to download via the link (the editor will upload to Baidu Netdisk for direct download later)
2. Transfer the installation file via SCP Transfer the file to the Jetson Nano user directory /home/jetbot via SCP

// Installing PyTorch
sudo pip3 install torch-1.0.0a0+18eef1d-cp36-cp36m-linux_aarch64.whl
sudo pip3 install torchvision

5. Install Traitlets

// Install traitlets (master, to support the unlink() method)
sudo python3 -m pip install git+https://github.com/ipython/traitlets@master

6. Install Jupyter Lab

// Install jupyter lab
sudo apt install nodejs npm
sudo pip3 install jupyter jupyterlab
sudo jupyter labextension install @jupyter-widgets/jupyterlab-manager

// Install jupyter lab
sudo jupyter labextension install @jupyterlab/statusbar

If you see the above error, ignore it and continue

jupyter lab --generate-config
jupyter notebook password
// Set a password

cd 
cd .jupyter
sudo nano jupyter_notebook_config.py

Move to the last line and add the following to the config:

c.NotebookApp.allow_origin = ’*’ c.NotebookApp.ip = ‘0.0.0.0’

7. Install This Repo

cd
sudo apt install python3-smbus

// Clone the Jetbot project from Github
git clone https://github.com/NVIDIA-AI-IOT/jetbot

cd jetbot
sudo apt-get install cmake
sudo python3 setup.py install

8. Install Jetbot Services

cd jetbot/utils
python3 create_stats_service.py
sudo mv jetbot_stats.service /etc/systemd/system/jetbot_stats.service
sudo systemctl enable jetbot_stats
sudo systemctl start jetbot_stats
python3 create_jupyter_service.py
sudo mv jetbot_jupyter.service /etc/systemd/system/jetbot_jupyter.service
sudo systemctl enable jetbot_jupyter
sudo systemctl start jetbot_jupyter

9. Create Swap File

sudo fallocate -l 4G /var/swapfile
sudo chmod 600 /var/swapfile
sudo mkswap /var/swapfile
sudo swapon /var/swapfile
sudo bash -c 'echo "/var/swapfile swap swap defaults 0 0" >> /etc/fstab'

10. Copy JetBot Notebooks to Home Directory

cp -r ~/jetbot/notebooks ~/Notebooks