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Jetson Nano

Computer Vision Course

Build Real-World Edge AI Apps with Jetson Nano in 2 Weeks!

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Jetson is Great for Computer Vision.

For On-Edge Computer Vision Projects, the Jetson Nano provides the following benefits: 

  • Small Size

  • Low Price

  • Real-Time AI

  • CUDA Libraries

  • Compatibly with TensorFlow, PyTorch etc.

 

But How Do I Get Started with Jetson for AI-CV Applications?

Presenting..

Jetson Computer Vision Course

Be at the Cutting-Edge of Computer Vision.

  1. Setting up any Jetson for AI.
  2. TensorRT
  3. DeepStream SDK
  4. 6 x Real-World Edge-CV Jetson Applications.

 

OS Image + Code

8 Hours+ Content

Beginner Friendly

Lifetime Access

"If you want to develop your own State-of-the-art, Low-Powered & Portable Machine Vision models On-Edge,

then this course is for you!"

Curriculum

Module 1

Introduction to Jetson.

  • Overview of Course
  • Jetson Nano Features
  • Applications of Jetson
  • Jetson Variants Comparison

Module 2

Getting Started with Jetson.

  • How Jetson is better than RPi.
  • Which SD-Card to buy.
  • How to download image & flash SD-Card
  •  Running Image on Jetson for the first time.

Module 3

Installing Libraries & Setting up AI Computer

  • Installing python and other supportive libraries.
  • Explanation on various libraries and their usage e.g opencv, pytorch etc.
  • Installing OpenCV from scratch with CUDA support.
  • Installing other supportive libraries.
  • Installing Pytorch and torchvision.

Module 4

Computer Vision Basics on Jetson + PyTorch

  • How to perform some basic image operations using OpenCV
  • PyTorch and torchvision Basics & How to use it.
  • Combining OpenCV & Torch to perform basic image operations.

Module 5

Object Detection

  • Object detection introduction and how it is performed.
  • Brief about different YOLO versions.
  • Demo of object detection using YOLOX

Module 6

YOLOX object detection on Custom Dataset

  • Number Plate Dataset & annotation for object detection.
  • Train the model on some existing dataset.
  • Perform object detection using pre-trained model for ANPR.

Module 7

TensorRT Intro & Setup

  • What is TensorRT (TRT)?
  • TensorRT benefits.
  • Installing dependencies for TRT.
  • Setting up the environment for TRT.

Module 8

Optimising YOLOX Model using TensorRT.

  • Converting the YOLOX model to TensorRT
  • Testing TensorRT model
  • Comparing Results

Module 9

What is DeepStream?

  • Introduction to DeepStream.
  • How it works?
  • DeepStream Demo
  • DeepStream Applications 
  • Setting up an environment for DeepStream SDK
  • Testing the DeepStream SDK on Jetson.

Module 10

Running DeepStream SDK with Multiple IP cameras 

  • Setting IP cameras with DeepStream.
  • Performing multiple camera synchronisation using DeepStream SDK.
  • Perform object detection on multiple cameras simultaneously.

Module 11

App 1 - Vehicle Counting + Tracking

  • Vehicle Detection
  • Object Tracking for Vehicles
  • Counting Vehicles

Module 12

App 2 - YOLOv7 Automatic Number Plate Recognition [ANPR] 

  • Introduction to Training with the Jetson.
  • How to annotate data in YOLOv7 format?
  • Brief about Google colab and setting environment for training data.
  • Training the model on custom dataset of number plates
  • Extract number plate using YOLO model
  • Apply Paddle-OCR to extract alphabets & digits on license plates. 

 

Module 13

App 3 - Pose Estimation on Jetson

  • How pose estimation is performed?
  • Installing PoseNet library. 
  • Implementing PoseNet estimation on Jetson.

Module 14

App 4 - Fake Face Classification

  • What is DeepFake?
  • Perform training on videos of DeepFake.
  • Fake/real video classification on pre-trained model.

 

Module 15

App 5 - Face Recognition and Attendance - Clock in, clock out.

  • Introduction to Face Recognition.
  • Implementing face recognition.
  • Face recognition for Attendance System.
DOWNLOAD FULL CURRICULUM

Requirements

Jetson Nano 4GB

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5V 4A Power Supply 

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128GB SD-Card

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Jetson Case with Fan

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Wifi Module

GET

C270 WebCam

GET

HDMI Cable 

GET

Keyboard & Mouse

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Download Full Bill of Materials List

Bonuses

Certification

Once you complete the course, you will graduate with an Official Certificate embedded with a unique ID that you can share on LinkedIn.

Your Instructor

Ritesh Kanjee

  • 100k+ Subscribers  YouTube

  • 71k Students Augmented Startups

  • M(Eng.) Electronic University of Joburg

  • 10k Followers LinkedIn

Pricing

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Jetson PRO

$399

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  • [Module 1] 
    Introduction to Jetson and Course Overview
  • [Module 2] 
    Comparison of Jetson and its variants along with RPi+SD Card Flashing
  • [Module 3] 
    Installing Libraries and Setting up AI Computer - Explain dependencies and their use
  • [Module 4]
    Computer Vision OpenCV Basics on Jetson + Pytorch
  • [Module 5]
    What is Object Detection+YOLOX object detection
  • [Module 6]
    Yolo object detection on custom dataset (number plate dataset)
  • [Module 7] 
    What is TensorRT? Setting up Jetson for TensorRT
  • [Module 8] 
    Optimizing YOLO Model for object detection using TensorRT
  • [Module 9]
    What is DeepStream? DeepStream Theory and how to implement this SDK.
  • [Module 10]
    Running Deepstream SDK and setting up multiple cameras including IP cameras 
  • [Module 11] 
    App 1 - Vehicle Tracking and Counting
  • [Module 12] 
    App 2
    - YOLOv7 Automatic Number Plate Recognition on Jetson Nano.
  • [Module 13]
    App 3 - Pose Estimation on Jetson Nano
  • [Module 14] 
    App 4 - Fake face classification on Deep Fakes
  • [Module 15] 
    App 5 - Face Recognition and Attendance - Clock in clock out  

  • LIFETIME ACCESS to Jetson PRO

  • Technical Support via Chat 

  • 1x Private 1-on-1 Coaching Session with Ritesh Kanjee

  • ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)

  • WhatsApp, Discord & Facebook Community

  • Certificate of Completion

  • [Bonus 1] Neural Networks Fundamentals Nano Course
  • [Bonus 2] Accelerate Deep Learning on RPi Course 
  • [Bonus 3] Project EDITH AI Glasses Course 
  • [Bonus 4] Face Detection Attendance Project in PyQt (1-hour) 
  • [Bonus 5] YOLOv5 Chess Piece Colab Training and Testing
  • [Bonus 6] 5 Hour OpenCV Python Course
  • [Bonus 7 - Prelaunch Only] OpenCV AI Kit & Raspberry Pro Computer Vision Applications Course
  • [Bonus 8 - Prelaunch Only] Siam Mask - Object Segmentation Course
  • [Bonus 9 - Prelaunch Only] Raspberry Pi & Neural Compute Stick AI Course.

[$399]

CYBER MONDAY SPECIAL 

50% Off for the Next 20 People [$199.5]  

Split Payment plans available - Contact me via email

It will cost you:

$2938+

Without this Course, to hire a developer to develop an end-to-end Jetson Edge AI model for you. That is 73+ hours at $40 per hour.

$399[$974]

By enrolling in this course, you save thousands of dollars and you are able to develop custom model for your own clients.

FAQ

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