Computer Vision Projects with OpenCV and Python 3

The only prerequisite for this book is that you should have a sound knowledge of Python programming.

Computer Vision Projects with OpenCV and Python 3

Computer Vision Projects with OpenCV and Python 3

Gain a working knowledge of advanced machine learning and explore Python’s powerful tools for extracting data from images and videos Key Features Implement image classification and object detection using machine learning and deep learning Perform image classification, object detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer Vision Book Description Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems. With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google’s Tesseract software, and tracking human body poses using DeeperCut within TensorFlow. By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries. What you will learn Install and run major Computer Vision packages within Python Apply powerful support vector machines for simple digit classification Understand deep learning with TensorFlow Build a deep learning classifier for general images Use LSTMs for automated image captioning Read text from real-world images Extract human pose data from images Who this book is for Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.

More Books:

Computer Vision Projects with OpenCV and Python 3
Language: en
Pages: 182
Authors: Matthew Rever
Categories: Computers
Type: BOOK - Published: 2018-12-28 - Publisher: Packt Publishing Ltd

Gain a working knowledge of advanced machine learning and explore Python’s powerful tools for extracting data from images and videos Key Features Implement image classification and object detection using machine learning and deep learning Perform image classification, object detection, image segmentation, and other Computer Vision tasks Crisp content with a
Learning OpenCV 4 Computer Vision with Python 3
Language: en
Pages: 372
Authors: Joseph Howse, Joe Minichino
Categories: Computers
Type: BOOK - Published: 2020-02-20 - Publisher: Packt Publishing Ltd

Updated for OpenCV 4 and Python 3, this book covers the latest on depth cameras, 3D tracking, augmented reality, and deep neural networks, helping you solve real-world computer vision problems with practical code Key Features Build powerful computer vision applications in concise code with OpenCV 4 and Python 3 Learn
OpenCV 4 with Python Blueprints
Language: en
Pages: 366
Authors: Dr. Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler
Categories: Computers
Type: BOOK - Published: 2020-03-20 - Publisher: Packt Publishing Ltd

Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks Key Features 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
OpenCV: Computer Vision Projects with Python
Language: en
Pages: 558
Authors: Joseph Howse, Prateek Joshi, Michael Beyeler
Categories: Computers
Type: BOOK - Published: 2016-10-24 - Publisher: Packt Publishing Ltd

Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This
OpenCV By Example
Language: en
Pages: 296
Authors: Prateek Joshi, David Millan Escriva, Vinicius Godoy
Categories: Computers
Type: BOOK - Published: 2016-01-22 - Publisher: Packt Publishing Ltd

Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a

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