Real time object detection in video using YOLO on iPhone

Real time object detection in video using YOLO on iPhone, available at $54.99, has an average rating of 4.13, with 24 lectures, based on 4 reviews, and has 22 subscribers.

You will learn about Use apples coreml and vision api to detect object in images on mobile devices This course is ideal for individuals who are Intermediate mobile developers who would like to get into deep learning and computer vision area It is particularly useful for Intermediate mobile developers who would like to get into deep learning and computer vision area.

Enroll now: Real time object detection in video using YOLO on iPhone

Summary

Title: Real time object detection in video using YOLO on iPhone

Price: $54.99

Average Rating: 4.13

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Use apples coreml and vision api to detect object in images on mobile devices

Who Should Attend

Intermediate mobile developers who would like to get into deep learning and computer vision area

Target Audiences

Intermediate mobile developers who would like to get into deep learning and computer vision area

Course Description

Learn to build real time object detection engine using YOLO deep learning algorithm.  Deep learning is popular where a machine can be trained to detect objects in video and images.  Once trained, it can be used to detect objects in any video or image.

Yolo (You only look Once) algorithm has become popular because of its real time nature. It can detect objects at 45 frames per second or within 20 ms. This makes it attractive to use it in self driving car where detecting objects in real time is key to avoid collisions. Unlike its predecessor, YOLO looks at image only once.

Build a strong foundation in image search engines  with this tutorial for beginners.

Understanding fundamentals of YOLO

Understanding fundamentals of deep learning and CNN 

Benefits of YOLO for self driving car use case

Build a real life object detection in video  using YOLO, coreml and swift

Build a real life object detection in image  using YOLO, coreml and swift

A Powerful Skill at Your Fingertips  Learning the fundamentals of real time object detection  puts a powerful and very useful tool at your fingertips. swift, YOLO and coreml are free, easy to learn, has excellent documentation.

No prior knowledge of CNN or deep learning is assumed. I’ll be covering topics like CNN from scratch.

Jobs in object detection area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is  state of art technology that can quickly help you achieve your goal.

Learning object detection with YOLO will help you become a computer vision developer which is in high demand.

Content and Overview  

This course teaches you on how to build real time object detection engine using open source YOLO, OPNCV and Python .  You will work along with me step by step to build following answers

Real time object detection in Video

Real time object detection in image

Fundamentals of CNN and YOLO

What am I going to get from this course?

Learn YOLO and build real time object detection engine from professional trainer from your own desk.

Over 10 lectures teaching you how to build real time object detection engine

Suitable for beginner programmers and ideal for users who learn faster when shown.

Visual training method, offering users increased retention and accelerated learning.

Breaks even the most complex applications down into simplistic steps.

Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Why YOLO?

Lecture 3: About Author

Chapter 2: Fundamentals of deep learning

Lecture 1: What is deep learning?

Lecture 2: Difference between Machine Learning, Deep Learning and Artificial Intelligence

Lecture 3: Why deep learning is taking off?

Chapter 3: Internals of deep learning

Lecture 1: Linear Regression

Lecture 2: Logistic regression

Lecture 3: Cost Function

Lecture 4: Gradient Descent

Chapter 4: Deep learning networks

Lecture 1: Multi Layer Perceptron

Lecture 2: CNN

Lecture 3: How yolo works?

Chapter 5: Building App

Lecture 1: Code workflow

Lecture 2: Set up xcode project

Lecture 3: Set up live capture

Lecture 4: Connect video preview layer to UI

Lecture 5: Set up Image Orientation

Lecture 6: Set up detection layer

Lecture 7: Performing Inference using Yolo V3 model

Lecture 8: Drawing Bounding Boxes Part I

Lecture 9: Drawing Bounding Box Part II

Lecture 10: Running Object Detetction on iPhone and iPad

Lecture 11: Next Steps

Instructors

Evergreen Technologies
Software Mentor

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 2 votes

5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!