Join students from top institutions
Jetson is Great for Computer Vision.
For On-Edge Computer Vision Projects, the Jetson Nano provides the following benefits:
Compatibly with TensorFlow, PyTorch etc.
Jetson Computer Vision Course
Be at the Cutting-Edge of Computer Vision.
- Module 1 - Introduction to Jetson
Explore Jetson's world: course overview, Jetson Nano features, diverse applications, and variant comparisons.
Module 2 - Getting Started with Jetson
Jumpstart your Jetson journey: why it beats RPi, selecting SD cards, image downloads, flashing, and the inaugural Jetson run.
Module 3 - Installing Libraries & Setting up AI Computer
Master AI essentials: Python installation, library insights (OpenCV, PyTorch), CUDA-enabled OpenCV setup, additional libraries, PyTorch, and torchvision.
Module 4 - Computer Vision Basics on Jetson + PyTorch
Dive into Jetson's computer vision basics: OpenCV image ops, PyTorch and torchvision essentials, and their seamless integration.
Module 5 - Object Detection
Demystify object detection: principles, YOLO variants overview, and a hands-on YOLOX object detection demo.
Module 6 - YOLOX object detection on Custom Dataset
Create and train YOLOX models for specific tasks like ANPR using custom datasets and pre-trained models.
Module 7 - TensorRT Intro & Setup
Uncover TensorRT: what it is, its benefits, and setting up the TRT environment with dependencies.
Module 8 - Optimising YOLOX Model using TensorRT
Optimize your YOLOX model with TensorRT, convert it efficiently, test, and compare the enhanced results.
Module 9 - What is DeepStream?
Discover DeepStream: its introduction, working principles, applications, and hands-on setup and testing on Jetson.
Module 10 - Running DeepStream SDK with Multiple IP cameras
Master the art of setting up and synchronizing multiple IP cameras with DeepStream SDK for simultaneous object detection.
Module 11 - App 1 - Vehicle Tracking and Counting
Vehicle Detection, Object Tracking, and precise Vehicle Counting for advanced analytics.
Module 12 - App 2 - YOLOv7 Number Plate Recognition on Jetson Nano
Train, extract license plates, and recognize characters with YOLOv7 for Automatic Number Plate Recognition (ANPR).
Module 13 - App 3 - Pose Estimation on Jetson Nano
Learn Pose Estimation: Installation of PoseNet library and hands-on implementation for robust posture assessment on Jetson.
Module 14 - App 4 - Fake face classification on Deep Fakes
Dive into DeepFake detection: Understand DeepFake technology, train on DeepFake videos, and classify real vs. fake using pre-trained models.
Module 15 - App 5 - Face Recognition and Attendance
Explore Face Recognition basics and implement it for an efficient Attendance System with clock-in and clock-out functionality.
OS Image + Code
10 Hours+ Content
This is what our students say:
"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!"
Introduction to Jetson.
- Overview of Course
- Jetson Nano Features
- Applications of Jetson
- Jetson Variants Comparison
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.
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.
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.
- Object detection introduction and how it is performed.
- Brief about different YOLO versions.
- Demo of object detection using YOLOX
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.
TensorRT Intro & Setup
- What is TensorRT (TRT)?
- TensorRT benefits.
- Installing dependencies for TRT.
- Setting up the environment for TRT.
Optimising YOLOX Model using TensorRT.
- Converting the YOLOX model to TensorRT
- Testing TensorRT model
- Comparing Results
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.
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.
App 1 - Vehicle Counting + Tracking
- Vehicle Detection
- Object Tracking for Vehicles
- Counting Vehicles
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.
App 3 - Pose Estimation on Jetson
- How pose estimation is performed?
- Installing PoseNet library.
- Implementing PoseNet estimation on Jetson.
App 4 - Fake Face Classification
- What is DeepFake?
- Perform training on videos of DeepFake.
- Fake/real video classification on pre-trained model.
What do industry leaders say about our program?
Medical Design Innovations Lab at UTSA
Ritesh is truly one of the most Intelligent and resourceful Individuals I have ever met and collaborated on activities with. He is always enthusiastic about taking on challenges and providing actionable and effective solutions, whether it be in the field of Computer Vision, graphics, and Machine learning for practical applications or it is in any other field where an innovative approach to problem-solving is Indispensable. Most impressive and inspirational are his Communication, Interpersonal, and leadership skills that accentuate his technical expertise in the fields of Al and ML for Machine vision applications. These qualitative and quantitative skills and traits he possesses, position him well to thrive in any endeavor and environment.
Data Scientist at Cognyte
As someone who has not yet dealt with image segmentation, I found this course to be quite helpful. It emphasizes the background theory appropriately, which I believe is quite crucial to get some idea of the topic and not "dive" straight into the coding part without actually understanding how things should operate. In addition, the course is designed in such a way that even someone who is not an expert AI coder may follow along without wondering "what the F* is going on here?". The instructions are clear, and the information is well-organized. A lot of the information regarding the entire process of building and preprocessing a custom dataset is also applicable to a variety of different tasks in the image domain, thus the course is also a very valuable source of reference.
Data Scientist at Alfred Health
You won't find courses with higher quality, I’ve done countless online courses from many different platforms and individuals but the courses produced by Ritesh and Augmented Startups are the best Computer Vision courses you’ll find. Their project ideas are extremely innovative, and they’re always implementing the latest state-of-the-art algorithms, so it’s no surprise that their models achieve elite results. My favorite project was the Heart Rate Detection and which achieved amazing FPS which is a testament to the quality of their code. I just enrolled in their YOLO+ course and I look forward to enrolling in future courses their team creates too.
Thank you, Ritesh, and Augmented Startups, all the best 😊
Access to Private Inner Circle
You get access to a private online and Whatsapp community where you can network with other students and industry professionals. Ask questions and get feedback on your projects.
Monthly A.I. Challenges
Gain new skills in our Inner Circle with additional monthly projects & challenges that provide hands-on experience applying your A.I. knowledge in creative ways, expanding your expertise beyond the course material.
VIP Tech Support - Fast Assistance
Get fast and reliable technical assistance with VIP Tech Support. Our expert technicians are available 24/7 to solve any issues, ensuring that your code runs smoothly and hassle-free.
Computer Vision Internship Opportunities
Augmented Startups offers internships and apprenticeships to launch your career in AI. Gain hands-on experience and real-world skills to succeed in this growing industry.
[Bonus 1] Computer Vision Foundations
where innovation meets sight! Dive into the world of visual intelligence, where machines understand and interpret the world as we do. Join our community of visionaries.
Bonus Project 1
Human Image/Video Segmentation App
Detailed Explanation of Human Image and Video Segmentation App. The codes and detailed lectures are included.
Bonus Project 2
Train PaddleOCR: A Comprehensive Tutorial
Training PaddleOCR involves utilizing the PaddlePaddle deep learning framework and the provided OCR toolkit to develop custom models for text recognition tasks. By leveraging the flexibility and extensibility of PaddleOCR, developers and researchers can train models tailored to specific industries or applications.
Once you complete the course, you will graduate with an Official Certificate embedded with a unique ID that you can share on LinkedIn.
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71k Students Augmented Startups
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