Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV,Python,and TensorFlow
Authors: Matthew Rever
ISBN-10: 178995455X
ISBN-13: 9781789954555
Publication Date 出版日期: 2018-12-28
Print Length 页数: 182 pages
Book Description
By finelybook
Gain a working knowledge of advanced machine learning and explore Python’s powerful tools for extracting data from images and videos
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
contents
1 Setting Up an Anaconda Environment
2 Image Captioning with TensorFlow
3 Reading License Plates with OpenCV
4 Human Pose Estimation with TensorFlow
5 Handwritten Digit Recognition with scikit-learn and TensorFlow
6 Facial Feature Tracking and Classification with dlib
7 Deep Learning Image Classification with TensorFlow
