Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Big Data Architect???s Handbook

You're reading from   Big Data Architect???s Handbook A guide to building proficiency in tools and systems used by leading big data experts

Arrow left icon
Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788835824
Length 486 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Syed Muhammad Fahad Akhtar Syed Muhammad Fahad Akhtar
Author Profile Icon Syed Muhammad Fahad Akhtar
Syed Muhammad Fahad Akhtar
Arrow right icon
View More author details
Toc

Table of Contents (21) Chapters Close

Preface 1. Why Big Data? FREE CHAPTER 2. Big Data Environment Setup 3. Hadoop Ecosystem 4. NoSQL Database 5. Off-the-Shelf Commercial Tools 6. Containerization 7. Network Infrastructure 8. Cloud Infrastructure 9. Security and Monitoring 10. Frontend Architecture 11. Backend Architecture 12. Machine Learning 13. Artificial Intelligence 14. Elasticsearch 15. Structured Data 16. Unstructured Data 17. Data Visualization 18. Financial Trading System 19. Retail Recommendation System 20. Other Books You May Enjoy

Object detection using YOLO


YOLO stands for you only look once. It's an object detection API. It uses a convolutional neural network to detect objects in an image. In the traditional detection system, it applies a model into different parts of the captured image to detect whether the same model is present. YOLO uses a neural network for this purpose. It divides an image into chunks and then applies edge detection to identify the object and calculate the probability of having an object in that region. It then picks up from there and detects the object from within its pre-trained data.

Let's get our hands dirty with YOLO by starting with its installation process.

Installation

The full code base of YOLO is available in the GitHub repository for everyone to download. It is allowed to be used by everyone freely. To clone the git repository, make sure that git is installed on your computer. Issue the following command to install git:

$ sudo apt-get install git

This command will install git on your...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime