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OpenCV 4 with Python Blueprints
OpenCV 4 with Python Blueprints

OpenCV 4 with Python Blueprints: Build creative computer vision projects with the latest version of OpenCV 4 and Python 3 , Second Edition

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Profile Icon Dr. Menua Gevorgyan Profile Icon Michael Beyeler (USD) Profile Icon Mamikonyan Profile Icon Michael Beyeler
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£9.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (4 Ratings)
Paperback Mar 2020 366 pages 2nd Edition
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m
Arrow left icon
Profile Icon Dr. Menua Gevorgyan Profile Icon Michael Beyeler (USD) Profile Icon Mamikonyan Profile Icon Michael Beyeler
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (4 Ratings)
Paperback Mar 2020 366 pages 2nd Edition
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m

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Key benefits

  • Understand how to capture high-quality image data, detect and track objects, and process the actions of animals or humans
  • Implement your learning in different areas of computer vision
  • Explore advanced concepts in OpenCV such as machine learning, artificial neural network, and augmented reality

Description

OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs.

Who is this book for?

This book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.

What you will learn

  • Generate real-time visual effects using filters and image manipulation techniques such as dodging and burning
  • Recognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor
  • Learn feature extraction and feature matching to track arbitrary objects of interest
  • Reconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniques
  • Detect faces using a cascade classifier and identify emotions in human faces using multilayer perceptrons
  • Classify, localize, and detect objects with deep neural networks

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 20, 2020
Length: 366 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789801811
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Product Details

Publication date : Mar 20, 2020
Length: 366 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789801811
Category :
Languages :
Tools :

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Frequently bought together


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Total £ 112.97
OpenCV 4 with Python Blueprints
£36.99
Learning OpenCV 4 Computer Vision with Python 3
£37.99
Python Image Processing Cookbook
£37.99
Total £ 112.97 Stars icon
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Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(4 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
David Oct 01, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I really enjoyed the book. As a Machine Learning R&D engineer with about 5 years of experience I think it is well written and best suited for anyone who interested in computer vision, but mostly for the ones who are looking to build their own app. Let me go through the points I liked:- Each chapter is built around an independent application, such as Finding an Object or Facial Emotions detection. This opens a reader the possibility to start right off from the problem they have in mind.- The book describes neatly and with a good visual support important ML algorithms such as SVM, backpropagation, CNNs- The book contains guides and instructions not only from the algorithmic side, but from the developer's as well. Thus setting up an environment will not cause any problems.
Amazon Verified review Amazon
SJ Sep 07, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The authors did a good job of explaining various applications that can be build using OpenCV. OpenCV is a widely used Vision-based library but finding a proper guide that can explain all applications is hard to find. If you are looking for a place for a good start to learn traditional vision and write them as code, this is a book to go.
Amazon Verified review Amazon
David Buniatyan Nov 20, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book goes through application-specific examples and brings advanced concepts within their context. Ideal for practitioners who are interested in quickly seeing results and learning computer vision techniques as they build.
Amazon Verified review Amazon
Matthew Emerick Apr 17, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Disclaimer: The publisher asked me to review this book and gave me a review copy. I promise to be 100% honest in how I feel about this book, both the good and the less so.Overview:This book is for the intermediate or advanced Python programmer who is interested in computer vision with OpenCV. It's a computer vision book that lets you build projects to gain hands on experience in the field as well as a portfolio to show off to get hired. Outside of the libraries the book lists, you will need a depth sensor for the project in Chapter 2. If you can't or won't buy one, you can still do the remaining projects.What I Like:The very first chapter gives a good introduction to using OpenCV with some traditional computer vision work. This gives the reader some confidence when moving forward. The rest of the book flows from intermediate to advanced quite well with increasingly more difficult programs. Each chapter's project focuses on a different ability of the OpenCV library.What I Didn't LikeThere isn't much to dislike about this book. I do wish that there were more projects, I'm a bit of a sucker for that. I also wish that there were suggestions as how to further extend the code or additional code exercises. That would have been great for the programmers transitioning from students with textbooks to software developers.What I Would Like to SeeI touched upon this in the last section, but the book could have been longer. Or it could have been broken up into two books of the same length, one for intermediate programmer and the other for advanced. Thankfully, there are other books to fill in the space, as well as plenty to find online.Overall, this is a great book. I give it an easy 5 stars out of 5. It does exactly what is says it is going to and fills a gap that I had been trying to fill. Well done!
Amazon Verified review Amazon
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