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"OpenCV Computer Vision with Python" is a practical, hands-on guide that covers the fundamental tasks of computer vision-capturing, filtering and analyzing images-with step-by-step instructions for writing both an application and reusable library classes.
"OpenCV Computer Vision with Python" shows you how to use the Python bindings for OpenCV. By following clear and concise examples you will develop a computer vision application that tracks faces in live video and applies special effects to them. If you have always wanted to learn which version of these bindings to use, how to integrate with cross-platform Kinect drivers and and how to efficiently process image data with NumPy and SciPy then this book is for you.
Approach
A practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.
Who this book is for
OpenCV Computer Vision with Python is written for Python developers who are new to computer vision and want a practical guide to teach them the essentials. Some understanding of image data (for example, pixels and color channels) would be beneficial. At a minimum you will need access to at least one webcam. Certain exercises require additional hardware like a second webcam, a Microsoft Kinect or an OpenNI-compliant depth sensor such as the Asus Xtion PRO.
132 pages, Paperback
First published January 1, 2013
Joseph Howse writes fiction, as well as technical books on computer programming and image analysis. He lives in a Nova Scotian fishing village, where he chats with his cats and nurtures an orchard of hardy fruit trees. His debut novel, The Girl in the Water, has won the 2023 Independent Press Award for Literary Fiction, the 2023 IAN Awards for Outstanding Multicultural Fiction, and the 2023 IPPY Awards Bronze Medal for Best Regional Ebook (Fiction). He is currently working on a sequel.