Computer Vision Projects with OpenCV and Python 3

Rever, Matthew

ISBN 10: 178995455X / ISBN 13: 9781789954555

Published by Packt Publishing, 2018

About this Item

This book demonstrates techniques to leverage the power of Python, OpenCV, and TensorFlow to solve problems in Computer Vision. This book also shows you how to build an application that can estimate human poses within images. You will also classify images a. Seller Inventory # 516816425

Bibliographic Details

Title: Computer Vision Projects with OpenCV and ...

Publisher: Packt Publishing

Publication Date: 2018

Binding: Soft cover

Condition: New

About this title

Synopsis:

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.

Table of Contents

1. Download & install Anaconda for your platform and Introduction to Tool Setup
2. Image Captioning with TensorFlow
3. Reading license plates with Tesseract & OpenCV
4. Human pose estimation with TensorFlow
5. Handwritten digit recognition with scikit-learn & TensorFlow
6. Facial feature tracking and classification with dlib
7. Deep learning image classification with TensorFlow

About the Author:

Matthew Rever is an image processing and computer vision engineer at a major national laboratory. He has years of experience in automating the analysis of complex scientific data, as well as in controlling sophisticated instruments. He has applied computer vision technology to save a great many hours of valuable human labor. He is also enthusiastic about making the latest developments in computer vision accessible to developers of all backgrounds.