OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing. This book will help you tackle increasingly challenging computer vision problems by providing number of recipes that you can use to improvise your existing applications. In this book, you will le
OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications
โ Scribed by Alexey Spizhevoy, Aleksandr Rybnikov
- Publisher
- Packt Publishing
- Year
- 2018
- Tongue
- Russian
- Leaves
- 306
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs
Key Features
vBuild computer vision applications with OpenCV functionality via Python API
โข Get to grips with image processing, multiple view geometry, and machine learning
โข Learn to use deep learning models for image classification, object detection, and face recognition
Book Description
OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing. OpenCV's convenient high-level APIs hide very powerful internals designed for computational efficiency that can take advantage of multicore and GPU processing. This book will help you tackle increasingly challenging computer vision problems by providing a number of recipes that you can use to improve your applications.
In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms. Then, we'll show you how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene. Weโll explore techniques to achieve camera calibration and perform a multiple-view analysis.
Later, youโll work on reconstructing a 3D scene from images, converting low-level pixel information to high-level concepts for applications such as object detection and recognition. Youโll also discover how to process video from files or cameras and how to detect and track moving objects. Finally, you'll get acquainted with recent approaches in deep learning and neural networks.
By the end of the book, youโll be able to apply your skills in OpenCV to create computer vision applications in various domains.
What you will learn
โข Get familiar with low-level image processing methods
โข See the common linear algebra tools needed in computer vision
โข Work with different camera models and epipolar geometry
โข Find out how to detect interesting points in images and compare them
โข Binarize images and mask out regions of interest
โข Detect objects and track them in videos
Who This Book Is For
This book is for developers who have a basic knowledge of Python. If you are aware of the basics of OpenCV and are ready to build computer vision systems that are smarter, faster, more complex, and more practical than the competition, then this book is for you.
โฆ Table of Contents
- IO and GUI
- Matrices colors and filters
- Contours and segmentation
- Object detection and machine learning
- Deep learning
- Linear algebra
- Detectors and descriptors
- Image and video processing
- Multiple view geometry
โฆ Subjects
Machine Learning; Deep Learning; Computer Vision; Video; Image Processing; OpenCV; Image Analysis; Python; Cookbook; Linear Algebra; Image Segmentation
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