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Learning OpenCV 3 Computer Vision with Python (Update)
book

Learning OpenCV 3 Computer Vision with Python (Update)

by Joe Minichino, Joseph Howse
September 2015
Intermediate to advanced
266 pages
5h 38m
English
Packt Publishing

Overview

Dive into the world of computer vision by mastering OpenCV 3 with Python. This book takes you on a journey from the basics of image processing to advanced concepts like object detection and artificial neural networks, equipping you with the skills to build real-world applications.

What this Book will help me do

  • Master the fundamentals of image and video processing with OpenCV.
  • Learn to detect and recognize faces and objects in images and videos.
  • Discover techniques for object tracking and depth estimation.
  • Build and train classifiers for various image recognition tasks.
  • Create neural network-based applications with OpenCV.

Author(s)

Joe Minichino is an expert in computer vision and has worked on numerous projects utilizing OpenCV for real-world applications. Joseph Howse brings extensive experience in Python programming and machine learning, and co-authoring brings a styles-and-skills complementary approach. Their writing style is approachable and focused on providing practical value.

Who is it for?

This book is ideal for software developers, data scientists, and enthusiasts interested in computer vision. Whether you're a novice looking to learn the basics or an expert aiming to explore the latest features of OpenCV 3, this book has something for you. If you want to implement image processing and analysis in your projects, this is suitable. A Python programming background is expected.

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Publisher Resources

ISBN: 9781785283840