Free e-Book OpenCV Computer Vision with Python

Free e-Book OpenCV Computer Vision with Python

Free e-Book OpenCV Computer Vision with Python
Free e-Book OpenCV Computer Vision with Python

OpenCV Computer Vision with Python

Author(s): Joseph Howse
Publisher: Packt Publishing, Year: 2013
ISBN: 1782163921,9781782163923


Learn how to capture video, image processing, and object tracking with Python using the OpenCV library overview OpenCV setup and Python linking and optional Kinect drivers on Windows, Mac or Ubuntu Create an app that tracks and manages faces Specify facial areas using regular colors Computer vision can reach customers in detail In various contexts via webcams, camera phones, and game sensors such as Kinect. 

OpenCV's Python links can help developers meet these consumer demands for apps that take pictures, change their look and extract information from them, in high-level language and in interoperable standard data format with scientific libraries such as NumPy and SciPy. 
"OpenCV Computer Vision with Python" is a practical, practical guide that covers the basic computer vision tasks - taking, filtering and analyzing images - with step-by-step instructions for writing both the application and reusable library chapters. "OpenCV Computer Vision with Python" shows you how to use Python links for OpenCV.
 By following clear and brief examples, you will develop a computer vision application that tracks faces in live video and applies special effects to them. If you always want to know which version of these links to use, how to integrate with Kinect cross-platform drivers and how to efficiently process image data with NumPy and SciPy, then this book is for you. 

What you'll learn from this book

Install OpenCV and related software like Python, NumPy, SciPy, OpenNI and SensorKinect - all on Windows, Mac or Ubuntu Capture, view and save photos and videos in real time Dealing with window events and input events using OpenGV's HighGui or Pygame module Understanding OpenCV image format and how to perform efficient operations on OpenCV images using NumPy and SciPy Apply "curves" and other color transitions to simulate the appearance of old photos, movies or video games Apply effect only to edges in an image Copy and resize image parts Apply effect only to depths Specific in an image using data from a depth sensor such as Kinect track faces, eyes, nose, and mouth using pre-tracked data sets Tracking random objects by creating native data sets Approach a Project-based tutorial for Python developers and amateurs who want to start seeing the computer with OpenCV and Python. Who wrote this book for OpenCV Computer Vision with Python has written for new Python developers to see a computer and wants a practical guide to teach them the basics. It may be helpful to understand some of the image data (for example, pixels and color channels). You will need at least access to at least one webcam. Some exercises require additional hardware such as a second webcam, Microsoft Kinect, or an OpenNI compatible depth sensor like Asus Xtion PRO.

About the author

The fictional Joseph House (Joe). For him, the virtual world always seemed within reach Into reality. 
One of his earliest memories is watching a moving time bomb on Tandy Color Computer Screen.
 The animation is programmed into BASIC by Joe's older brother, Sam, who explained, "I'm making a bomb. Get ready!" the bomb It exploded in the rain from the dots and a sign from the whistling as Joe and Sam ran to hide from Drops.

Today, Joe still fancies that a computer program can blow a tunnel on the ground. 
As a hobby, he loves looking at reality through a digital viewfinder tunnel. 

K Profession, he developed an augmented reality program, which uses cameras and other sensors to Real and virtual scenes installed interactively in real time.

Joe holds a master’s degree in computer science from Dalhousie University. 
Do Research in software engineering as applied to augmented reality.
Joe works for Ad-Dispatch, the augmented reality company, where he develops Applications for mobile devices, kiosks and the web.
Loves the atmosphere of cats, cats, oceans and seas. Supported by cunning and salt water. 
He lives with his multi-species family in Halifax, on the Atlantic coast of Canada.

I am able to write and enjoy writing because I feel the constant encouragement of Sam's memory and the company of my mom, dad and cats. They are mine
The basics.
I owe the editors and reviewers to direct this book to completion. 
Their professionalism, compliments, good judgment, and passion for books are highly appreciated. 

About auditors

David Millán Escrivá was eight years old when he wrote his first program on an 8086 computer in a basic language, which enabled the drawing of basic two-dimensional equations; He started out with his own computer development relationship and created many applications and games.
In 2005, he finished his studies in Information Technology from the University of Politénica de Valencia with
Honors in human-computer interaction with the support of computer vision with OpenCV
Honors in human-computer interaction with the support of computer vision with OpenCV(v0.96).
 He had a final project based on this topic and published it on HCI Spanish Conference.
Participated in Blender source code, open source and 3D software project, and worked on his first commercial movie Plumiferos - Aventuras voladoras as a computer graphics software developer.
David now has more than 10 years of experience in the IT field, with more than seven years
Experience in seeing the computer and computer graphics and learning about the patterns you work on Various projects and startups, applying his knowledge of computer visual and visual Get to know the characters, and the augmented reality.

He is the author of DamilesBlog (, where he publishes
Research articles and tutorials on OpenCV, computer vision in general, and OCR algorithms.
 He is co-author of OpenCV Mastering with Computer Vision Projects, Daniel Lilis Baggio, Shervin Imami, David Milan Escriva, Khvidishiniya Evgen, Noren Mahmoud, Jasonel Sergej, Roy Schilkrott, Packt Publishing.
 He is also a reviewer for GnuPlot Cookbook, Lee Phillips and Packt Publishing.

I thank my wife Isaacon and my daughter Eder for their patience and support. I love you. 
I also thank the OpenCV team and the community for giving us this great library.
Congratulations to the author for this perfect introduction to Python and OpenCV.


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