Jetson Nano Computer Vision

Free

Jetson Nano Course

Course
40 Lessons

This is a comprehensive Jetson Starter course that will help you accelerate your AI-CV development using Jetson Nano.

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Module 1: Introduction to Jetson

Lecture 1.1: Jetson Introduction

Lecture 1.2: Explanation On How To Use It

Lecture 1.3: Course Overview

Jetson Introduction PDF

Jetson Course Complete Material.zip

Module 2 - Comparison of Jetson and Its Variants Along with RPi+SD Card Flashing

Lecture 2.1: How Jetson Is Better Than Raspberry Pi

Lecture 2.2: Comparison Among Different Variants

Lecture 2.3: SD Card Flashing

Lecture 2.4: Which Card To Buy

Lecture 2.5: Running Jetson For The First Time

Module 2 Slides

Module 3 - Installing Libraries and Setting Up AI Computer - Explain Dependencies and Their Use

Lecture 3.1: Various Libraries and Their Usage e.g. OpenCV PyTorch Etc.

Lecture 3.2: Installing Supportive Libraries

Lecture 3.3: Installing OpenCV From Scratch With CUDA Support

Lecture 3.4: Installing Other Supportive Libraries

Lecture 3.5: Installing PyTorch and TorchVision

Lecture_3.pdf

Module 3:Installing Libraries and Setting Up AI Computer Explain Dependencies and Their Use.zip

Installation-updated-latest.odt

Installation.odt

Module 4 - Computer Vision OpenCV Basics on Jetson + Pytorch

Lecture 4.1: Perform Some Basic Image Operations Using OpenCV

Lecture 4.2: Import Libraries, Image Read and Display

Lecture 4.3: Color Conversion

Lecture 4.4: Basic Filtration

Lecture 4.5: Transformation

Lecture 4.6: Edge Detection

Lecture 4.7 Morphological Operations

Lecture 4.8: Corner Detection

Lecture 4.9: Basics About PyTorch

Lecture 4.10: Basics About TorchVision

Lecture 4.11: Combining OpenCV and Torch To Perform Basic Image Operations

Module 5 - What is Object Detection + Yolo Object Detection

Lecture 5.1: Introduction to Object Detection and How It Is Performed

Lecture 5.2: YOLO Variants

Lecture 5 Slides

Module 6 - YOLO Object Detection on Custom Dataset (Number Plate Dataset)

Lecture 6.1: About The Dataset and Its Annotation for Object Detection

Lecture 6.2: Train The Model On Some Existing Dataset

Lecture 6.3: Perform Object Detection Using Pre-trained Model

Lecture 6 Slides

Module 7: Where to from here?

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Frequently Asked Questions (FAQ)

How Do I Run the Project Files?

There will be instructions in the lesson of each project.

I've tried running the project files, but I am a beginner.

Ensure that you have the required hardware like a CUDA enabled GPU and have followed the tutorial video step-by-step.

If you are still struggling to get the project working or installed, we provide a 1 hour Remote Desktop Technical Session. In this session, our technical team will log into your PC and help you install all of the require libraries and dependencies and get the project running*.

You can apply for the Remote Technical Assistance HERE

*(Assuming that you have the required hardware).

Where can I connect with AI and CV Developers?

You can Join our Free WhatsApp Computer Vision Community HERE.

Here you can connect and network with likeminded developers.

Are the projects refundable?

This course is free :)