00
DAYS
00
HOURS
00
MINS
00
SECS
Jetson Nano
Computer Vision Course
Build Real-World Edge AI Apps with Jetson Nano in 2 Weeks!
ENROLLJetson 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.
- Setting up any Jetson for AI.
- TensorRT
- DeepStream SDK
- 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.
Requirements
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
Price goes back up to $399 in:
00
DAYS
00
HOURS
00
MINS
00
SECS
Jetson PRO
$399
🔥ONCE OFF🔥
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
Can I still learn if I don't have a Jetson?
When will the Course be Released
Will I have lifetime access to this course?
What happens once I buy this course?
This course is WRONG for you if…
This course is RIGHT for you if…
“Price is too much I can’t afford it…”
Should I enroll if I'm a beginner?
Should I enroll if I am a seasoned developer?
Why do I have to pay for Jetson?
What GPUs do you recommend for the course?
Can I use higher models of Jetson?
Why code in Python?
Which Option should I choose?
Which Operating System should I use?
Will I learn how to build CV models from scratch?
I have another question.
Will I receive a certificate for this training?
Is there a Refund Policy?
What Skills Do I Require for this Course?
What Hardware do I require for the course?
Do you provide other Payment Options?
Still Have Questions?
Contact me on LinkedIn
Testimonials
What people have to say about Courses & Tutorials at Augmented Startups
