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Learning OpenCV 3 PDF Deatils
|PDF Title:||Learning OpenCV 3|
|Total Page:||1018 Pages|
|PDF Size:||8.0 MB|
Learning OpenCV 3 PDF description
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.
Many models in the ML library may be trained on a selected feature subset and/or on a selected sample subset of the training set. To make this easier for the user, the cv::ml::TrainData::create() method includes the vectors varIdx and sampleIdx as parameters. The varIdx vector can be used to identify specific variables (features) of interest, while sampleIdx can identify specific data points of interest.
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.