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Mastering Opencv 4 With Python A Practical Guide Covering Topics From Image Processing Augmented Reality To Deep Learning With Opencv 4 And Python 37 1st Edition Alberto Fernndez Villn

  • SKU: BELL-9983438
Mastering Opencv 4 With Python A Practical Guide Covering Topics From Image Processing Augmented Reality To Deep Learning With Opencv 4 And Python 37 1st Edition Alberto Fernndez Villn
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Mastering Opencv 4 With Python A Practical Guide Covering Topics From Image Processing Augmented Reality To Deep Learning With Opencv 4 And Python 37 1st Edition Alberto Fernndez Villn instant download after payment.

Publisher: Packt Publishing
File Extension: EPUB
File size: 50.52 MB
Pages: 517
Author: Alberto Fernández Villán
ISBN: 9781789349757, 1789349753
Language: English
Year: 2019
Edition: 1

Product desciption

Mastering Opencv 4 With Python A Practical Guide Covering Topics From Image Processing Augmented Reality To Deep Learning With Opencv 4 And Python 37 1st Edition Alberto Fernndez Villn by Alberto Fernández Villán 9781789349757, 1789349753 instant download after payment.

Mastering OpenCV 4 with Python is a comprehensive guide to help you to get acquainted with various computer vision algorithms running in real-time. This book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vision techniques.
In this book, you'll get started by setting up OpenCV and delving into
the key concepts of computer vision. You'll then proceed to study more
advanced concepts and discover the full potential of OpenCV. The book
will also introduce you to the creation of advanced applications using
Python and OpenCV, enabling you to develop applications that include
facial recognition, target tracking, or augmented reality. Next, you'll
learn machine learning techniques and concepts, understand how to apply
them in real-world examples, and also explore their benefits, including
real-time data production and faster data processing. You'll also
discover how to translate the functionality provided by OpenCV into
optimized application code projects using Python bindings. Toward the
concluding chapters, you'll explore the application of artificial
intelligence and deep learning techniques using the popular Python
libraries TensorFlow, and Keras.

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