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OpenCV 4 with Python Blueprints - Second Edition
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OpenCV 4 with Python Blueprints - Second Edition
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Overview of this book
OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks.
You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks.
By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs.
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Current Title:
OpenCV 4 with Python Blueprints - Second Edition
Table of Contents (14 chapters)
Preface
Fun with Filters
Free Chapter
Hand Gesture Recognition Using a Kinect Depth Sensor
Finding Objects via Feature Matching and Perspective Transforms
3D Scene Reconstruction Using Structure from Motion
Using Computational Photography with OpenCV
Tracking Visually Salient Objects
Learning to Recognize Traffic Signs
Learning to Recognize Facial Emotions
Learning to Classify and Localize Objects
Learning to Detect and Track Objects
Profiling and Accelerating Your Apps
Setting Up a Docker Container
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