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Computer Vision Projects with OpenCV and Python 3

You're reading from   Computer Vision Projects with OpenCV and Python 3 Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789954555
Length 182 pages
Edition 1st Edition
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Author (1):
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Matthew Rever Matthew Rever
Author Profile Icon Matthew Rever
Matthew Rever
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Table of Contents (9) Chapters Close

Preface 1. Setting Up an Anaconda Environment FREE CHAPTER 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 8. Other Books You May Enjoy

Preface

In this book, you learn how to leverage the power of Python, OpenCV, and TensorFlow to solve problems in computer vision. Python is the ideal programming language for rapidly prototyping and developing production-grade code for image processing and computer vision, with its robust syntax and wealth of powerful libraries.

This book will be your practical guide to designing and developing production-grade computer vision projects that tackle real-world problems. You will learn how to set up Anaconda Python for the major OSes with cutting-edge third-party libraries for computer vision, and you will learn state-of-the-art techniques of classifying images and finding and identifying humans within videos. You will gain the expertise required to build your own computer vision projects using Python and its associated libraries by the end of this book.

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