Jetson Nano Boot Camp

Jetson Nano Boot Camp, available at $69.99, has an average rating of 4.4, with 91 lectures, based on 215 reviews, and has 1133 subscribers.

You will learn about Jetson Nano OpenCV, Object detection, Arduino, GPIO, Python basics and Serial communication. This course is ideal for individuals who are For engineering students (EEE, CE etc.), or Interested in Machine Learning(ML), or Interested in Computer Vision (OpenCV Module) and or Interested in AI PC (Jetson Nano). It is particularly useful for For engineering students (EEE, CE etc.), or Interested in Machine Learning(ML), or Interested in Computer Vision (OpenCV Module) and or Interested in AI PC (Jetson Nano).

Enroll now: Jetson Nano Boot Camp

Summary

Title: Jetson Nano Boot Camp

Price: $69.99

Average Rating: 4.4

Number of Lectures: 91

Number of Published Lectures: 91

Number of Curriculum Items: 91

Number of Published Curriculum Objects: 91

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Jetson Nano

OpenCV,

Object detection,

Arduino,

GPIO,

Python basics and

Serial communication.

Who Should Attend

For engineering students (EEE, CE etc.),

Interested in Machine Learning(ML),

Interested in Computer Vision (OpenCV Module) and

Interested in AI PC (Jetson Nano).

Target Audiences

For engineering students (EEE, CE etc.),

Interested in Machine Learning(ML),

Interested in Computer Vision (OpenCV Module) and

Interested in AI PC (Jetson Nano).

Hello everyone,

Welcome to the introduction of my Jetson Nano Boot Camp course. Nowadays, image processing, computer vision and Python programming language are becoming very popular. In order to realize our own machine learning projects, we will carry out a machine learning project with Jetson Nano which is a powerful artificial intelligence computer. Not limited to this, we will learn about Python, Image Processing and machine learning.

Of course, we will start with Python and learn the basics of Python well.We will learn about the concept of variables, standard input and output functions, loops, conditional structures, functions, modules and more.

And then we will get into the topic of image processing. We will learn the basics of the OpenCV library, which has been developed for a long time, and detect the objects we want in real time with the software using the machine learning method.

Of course, in addition to detecting objects, we will also be able to control the Arduino board, which is very popular in the world, according to the object we have detected.

Thanks to the school crossing sign project included in the course, we will detect our school crossing sign together with our Jetson Nano board and then reduce its speed according to the school crossing sign where we detect our DC motor that we connect to our Arduino board.

Since the course was created as a result of years of academic and technical experience, you will be able to carry out your own machine learning projects together with Jetson Nano when you finish the course.

No previous programming or electronics knowledge is required.

“You are never too old to set another goal or to dream a new dream.” –C.S.Lewis

“Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles begins with a single step” –Lao Tzu

You get the best information that I have compiled over years of trial and error and experience!

Best wishes,

Y?lmaz ALACA

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome!

Chapter 2: Hardwares

Lecture 1: Hardware Requirements

Chapter 3: Python Basics (Optional)

Lecture 1: Introduction

Lecture 2: Python Installation

Lecture 3: IDE Installation

Lecture 4: Variables -1

Lecture 5: Variables -1 Article

Lecture 6: Variables -2

Lecture 7: Variables -3 (Rules)

Lecture 8: Operators -1

Lecture 9: Operators -2

Lecture 10: Operators -3

Lecture 11: Standart Input And Output

Lecture 12: Conditional Statements -1

Lecture 13: Conditional Statements -2

Lecture 14: Conditional Statements -3

Lecture 15: Lists

Lecture 16: Tuples

Lecture 17: Loops -1

Lecture 18: Loops -2

Lecture 19: break

Lecture 20: Functions -1

Lecture 21: Functions -2

Lecture 22: Functions -3

Lecture 23: Modules -1

Lecture 24: Modules -2

Lecture 25: Outro

Chapter 4: OpenCV (Optional)

Lecture 1: Introduction

Lecture 2: OpenCV Installation on PyCharm

Lecture 3: Image Reading and Showing

Lecture 4: Image Resizing

Lecture 5: Color Transformation

Lecture 6: Basic Drawing Operations -1

Lecture 7: Basic Drawing Operations -2

Lecture 8: Basic Drawing Operations -3

Lecture 9: What is Machine Learning?

Lecture 10: Face Detection

Lecture 11: About Scale Factor

Lecture 12: Outro

Chapter 5: Machine Learning

Lecture 1: Capture Video from Webcam

Lecture 2: Extras: Texting

Lecture 3: Theory

Lecture 4: Images Capturing

Lecture 5: Gray Scale Capturing

Lecture 6: Capturing Positive Images for Arduino Board

Lecture 7: Capturing Negative Images

Lecture 8: Machine Learning Training Software and Cropping Operations

Lecture 9: Training Objects

Chapter 6: Real Time Object Detection (Arduino Board)

Lecture 1: Intro

Lecture 2: Coding The Detection Function

Lecture 3: Outro

Chapter 7: Arduino Basics (Optional)

Lecture 1: Installation of Arduino IDE

Lecture 2: Interface of Arduino IDE

Lecture 3: Pin Control (INPUT – OUTPUT)

Lecture 4: Digital OUTPUT

Lecture 5: Reaction Time

Lecture 6: Serial Port -1

Lecture 7: Comment

Lecture 8: Serial Port and Conditional Structures (if) -1

Lecture 9: Serial Port and Conditional Structures (else if) -2

Chapter 8: Project 1: Controlling Arduino with Python

Lecture 1: Intro

Lecture 2: Python Codes

Lecture 3: Arduino Codes

Chapter 9: Jetson Nano Board Set Up

Lecture 1: Intro

Lecture 2: SD Card

Lecture 3: Operating System

Lecture 4: Jetson Nano Board Connections -1

Lecture 5: Jetson Nano Board Connections -2

Lecture 6: System Configurations

Lecture 7: Remote Control (For Jetson Nano)

Lecture 8: Remote Control (For Windows)

Chapter 10: OpenCV and Python Installation on Jetson Nano

Lecture 1: Installation IDE

Lecture 2: Installation of Python

Lecture 3: Installation of OpenCV

Lecture 4: Serial (pip)

Chapter 11: Installation of Camera

Lecture 1: Getting Frames Using CSI Camera

Chapter 12: L298N

Lecture 1: Introduction and Motor Soldering

Lecture 2: Circuit

Lecture 3: Speed Control of DC Motor

Chapter 13: Project 2: School Crossing Sign (for Autonomous Vehicles)

Lecture 1: School Crossing Sign Project Overview

Lecture 2: Creating a School Crossing Sign.

Lecture 3: Capturing Positive Images

Lecture 4: Capturing Negative Images

Lecture 5: Drive

Lecture 6: Training School Crossing Sign (Cropping Process)

Lecture 7: Training School Crossing Sign

Lecture 8: Coding The Detection Function

Instructors

Y?lmaz Alaca
Electrical and Electronics Engineer | Author | Instructor

Rating Distribution

1 stars: 1 votes

2 stars: 2 votes

3 stars: 11 votes

4 stars: 22 votes

5 stars: 179 votes

Frequently Asked Questions

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