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https://github.com/ani717/headless-jetson-nano-setup
Jetson Nano Setup without Monitor for JetBot Build. JupyterLab, ROS2 Dasing, Torch, Torch2trt, ONNX, ONNXRuntime-GPU and TensorFlow Installation Included. JupyterLab doesn't require Docker Container.
https://github.com/ani717/headless-jetson-nano-setup
aarch64 jetbot jetson-nano jupyterlab onnx onnxruntime onnxruntime-gpu python3 pytorch ros2 ros2-dashing tensorflow2 torch torch2trt torchvision ubuntu
Last synced: about 1 month ago
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Jetson Nano Setup without Monitor for JetBot Build. JupyterLab, ROS2 Dasing, Torch, Torch2trt, ONNX, ONNXRuntime-GPU and TensorFlow Installation Included. JupyterLab doesn't require Docker Container.
- Host: GitHub
- URL: https://github.com/ani717/headless-jetson-nano-setup
- Owner: ANI717
- License: mit
- Created: 2021-05-08T04:11:50.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-11-15T07:32:13.000Z (about 3 years ago)
- Last Synced: 2023-08-25T11:17:04.972Z (over 1 year ago)
- Topics: aarch64, jetbot, jetson-nano, jupyterlab, onnx, onnxruntime, onnxruntime-gpu, python3, pytorch, ros2, ros2-dashing, tensorflow2, torch, torch2trt, torchvision, ubuntu
- Language: Python
- Homepage:
- Size: 412 KB
- Stars: 5
- Watchers: 2
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Headless Jetson Nano Setup for Jetbot Build
Headless Jetson Nano 4GB setup with with Micro-USB cable Without Using Monitor. USB Dongle is required for Wifi Connection. JupyterLab setup included. JupyterLab doesn't need docker. Torch, Torch2trt, ONNX, ONNXRuntime-GPU Torchvision and TensorFlow Installation Included. ROS2 Dasing Installation Included.
## Colaborators
[Animesh Bala Ani](https://www.linkedin.com/in/ani717/)
## Table of Contents
* [Install Jetson Nano Image](#install)
* [Boot Jetson Nano](#boot)
* [Wifi Connection Setup](#wifi)
* [Download This Repository](#repository)
* [One Command Install All](#all)
* [Enable I2C Permissions](#i2c)
* [Install Jupyter Lab](#jupytarlab)
* [Setup Jetbot Stats](#stats)
* [Install ROS2 Dashing](#ros2dashing)
* [Install Torch](#torch)
* [Install Torch2trt and ONNX](#torch2trt)
* [Install TensorFlow](#tf)
* [Issues](#issue)
## Install Jetson Nano Image
Download [balenaEtcher](https://www.balena.io/etcher/) and install it.
Download [Jetson Nano Developer Kit SD Card Image](https://developer.nvidia.com/jetson-nano-sd-card-image-45-0), and write it on a microSD card with **balenaEtcher**.
## Boot Jetson Nano
Insert the microSD card to Jetson Nano.
Connect Jetson Nano with a PC/Laptop using Micro-USB cable.
Power On the Jetson Nano and wait for 1-2 minutes.
Download [PuTTY](https://www.putty.org/).
Open **Putty**, select connection type **serial**.
The serial line value `COM#` can be found from following in Windows OS.
```
Device Manager > Ports (COM&LPT) > USB Serial Device (COM#)
```
Once connected, go through initial setup until Network Configuration.
Select `dummy0: Unknown Interface`
Once it fails to connect, select `Do not configure the network at this time`
Go through the rest of the steps with the default settings.
Once completed, wait couple of minutes and go to next step.
## Wifi Connection Setup
Open Putty and connect using host name `192.168.55.1` or using COM Port
Run following command and reboot Jetson Nano.
```
sudo systemctl restart network-manager.service
```
Log into Jetson Nano and run following command to detect availability of your wifi SSID.
```
nmcli device wifi list
```
Connect to wifi using following command.
```
sudo nmcli device wifi connect password
```
Run following command to get the IP address (2nd one).
```
hostname -I
```
Open Putty and connect using the IP address.
Once login completes, the Micro-USB cable can be disconnected.
## Download Repository
```
git clone https://github.com/ANI717/Headless-Jetson-Nano-Setup
```
## One Command Install All
Installs `Jupyter Lab`, `ROS2 Dashing`, `PyTorch`, `Torchvision`, `Torch2trt`, `ONNX`, `ONNXRuntime-GPU`, `Inputs` and `Adafruit_MotorHat`.
Enables I2C Permissions.
Sets Jetbot Stats.
Takes aroud 20 minutes to 50 minutes.
```
cd ~/Headless-Jetson-Nano-Setup
chmod +x ./*.sh && ./install.sh
```
## Enable I2C Permissions
```
sudo usermod -aG i2c $USER
```
## Install Jupyter Lab
```
cd ~/Headless-Jetson-Nano-Setup
chmod +x ./jupyter.sh && ./jupyter.sh
```
Open Jupytar Lab in a browser with `:8888` link. Default password is `jetbot`.
The interface should look like this (without watermark).
[Reference](https://github.com/NVIDIA-AI-IOT/jetbot/wiki/Create-SD-Card-Image-From-Scratch)
## Setup Jetbot Stats
Setup Jetbot Stats Service to show Jebot status in OLED display.
```
cd ~/Headless-Jetson-Nano-Setup
chmod +x ./jetbot_stats.sh && ./jetbot_stats.sh
```
## Install ROS2 Dashing
```
cd ~/Headless-Jetson-Nano-Setup
chmod +x ./dashing.sh && ./dashing.sh
```
[Reference](https://docs.ros.org/en/dashing/Installation/Ubuntu-Install-Debians.html)
## Install Torch
Installs `PyTorch` and `TorchVision`.
```
cd ~/Headless-Jetson-Nano-Setup
chmod +x ./pytorch.sh && ./pytorch.sh
```
[PyTorch Wheel](https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-9-0-now-available/72048)
## Install Torch2trt and ONNX
Installs `Torch2trt`, `ONNX` and `ONNXRuntime-GPU`.
```
cd ~/Headless-Jetson-Nano-Setup
chmod +x ./torch2trt_onnx.sh && ./torch2trt_onnx.sh
```
## Install TensorFlow
Installs `TensorFLow`.
```
cd ~/Headless-Jetson-Nano-Setup
chmod +x ./tensorflow.sh && ./tensorflow.sh
```
## Issues
Installing or modifying `OpenCV` will break `Gstreamer Pipeline`.
Therefore `Albumation` package should not be installed for Deep Learning.
Also `Numpy` version `1.19.4` is required to work `Gstreamer Pipeline`.
Updating `Setuptools` will generate deprication error during ROS2 workspace building.