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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

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788835824
Length 486 pages
Edition 1st Edition
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Author (1):
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Syed Muhammad Fahad Akhtar Syed Muhammad Fahad Akhtar
Author Profile Icon Syed Muhammad Fahad Akhtar
Syed Muhammad Fahad Akhtar
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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...

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