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About this product
Product Identifiers
PublisherPackt Publishing, The Limited
ISBN-101782163921
ISBN-139781782163923
eBay Product ID (ePID)166547580
Product Key Features
Number of Pages122 Pages
LanguageEnglish
Publication NameOpencv Computer Vision with Python
SubjectOperating Systems / General, Computer Vision & Pattern Recognition, Programming Languages / Python
Publication Year2013
FeaturesNew Edition
TypeTextbook
AuthorJoseph Howse
Subject AreaComputers
FormatTrade Paperback
Dimensions
Item Height0.3 in
Item Weight8 Oz
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Dewey Edition23
IllustratedYes
Dewey Decimal006.37
Edition DescriptionNew Edition
SynopsisA practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.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., Computer Vision can reach consumers in various contexts via webcams, camera phones and gaming sensors like Kinect. OpenCV's Python bindings can help developers meet these consumer demands for applications that capture images, change their appearance and extract information from them, in a high-level language and in a standardized data format that is interoperable with scientific libraries such as NumPy and SciPy."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.
