Read More... “Doonesbury is one of the most overrated strips out there. Mediocre at best.” --Donald Trump, 1989
He tried to warn us. Ever since the release of the first Trump-for-President trial balloon in 1987, Doonesbury’s Garry Trudeau has tirelessly tracked and highlighted the unsavory career of the most unqualified candidate to ever aspire to the White House. It’s all there--the hilarious narcissism, the schoolyard bullying, the loathsome misogyny, the breathtaking ignorance; and a good portion of the Doonesbury cast has been tangled up in it. Join Duke, Honey, Earl, J.J., Mike, Mark, Roland, Boopsie, B.D., Sal, Alice, Elmont, Sid, Zonker, Sam, Bernie, Rev. Sloan, and even the Red Rascal as they cross storylines with the big, orange airhorn who’s giving the GOP such fits.
Garry Trudeau is the “sleazeball” “third-rate talent” who draws the “overrated” comic strip Doonesbury, which “very few people read.” He lives in New York City with his wife Jane Pauley, who “has far more talent than he has."
Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You’ll learn what it takes to build applications that enable computers to "see" and make decisions based on that data.
With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you’ve learned.
This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision.
Learn OpenCV data types, array types, and array operations
Capture and store still and video images with HighGUI
Transform images to stretch, shrink, warp, remap, and repair
Explore pattern recognition, including face detection
Track objects and motion through the visual field
Reconstruct 3D images from stereo vision
Discover basic and advanced machine learning techniques in OpenCV