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Print Length: 329 pages
Size: 128 MB
Publisher: Packt Publishing (April 9, 2020)
Publication Date: April 9, 2020
Sold by: Amazon.com Services LLC
Practical end-to-end projects covering cutting-edge computer vision concepts such as image processing, machine learning, augmented reality, and artificial neural networks
Build computer vision projects to capture high-quality image data, detect and track objects, and process the actions of animals or humans
Implement your learning in different areas of computer vision
Get to grips with advanced concepts in OpenCV and develop modern computer vision applications
The goal of this book is to 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 will begin by understanding concepts such as image filters, Kinect depth sensor, and feature matching. You will also learn to reconstruct and visualize a scene in 3D and track visually salient objects. Further on, you will learn to recognize traffic signs and emotions on faces. Towards the end of the book, you will understand how to align images and detect and track objects using neural networks.
By the end of this OpenCV Python book, you will have gained hands-on experience and become proficient at developing your own advanced computer vision applications according to specific business needs.
What you will learn
Generate real-time visual effects using filters and image manipulation techniques such as dodging and burning
Recognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor
Learn feature extraction and feature matching to track arbitrary objects of interest
Reconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniques
Detect faces using a cascade classifier and identify emotions in human faces using multilayer perceptrons
Understand how to align images with OpenCV
Who This Book Is For
This OpenCV book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced practical applications. Familiarity with OpenCV concepts and Python libraries and basic Python programming knowledge are assumed.