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Raspberry Pi Computer Vision Programming - Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R969
Discovery Miles 9 690
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Raspberry Pi Computer Vision Programming - Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3, 2nd Edition (Paperback, 2nd Revised edition)
Expected to ship within 18 - 22 working days
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Perform a wide variety of computer vision tasks such as image
processing and manipulation, feature and object detection, and
image restoration to build real-life computer vision applications
Key Features Explore the potential of computer vision with
Raspberry Pi and Python programming Perform computer vision tasks
such as image processing and manipulation using OpenCV and
Raspberry Pi Discover easy-to-follow examples and screenshots to
implement popular computer vision techniques and applications Book
DescriptionRaspberry Pi is one of the popular single-board
computers of our generation. All the major image processing and
computer vision algorithms and operations can be implemented easily
with OpenCV on Raspberry Pi. This updated second edition is packed
with cutting-edge examples and new topics, and covers the latest
versions of key technologies such as Python 3, Raspberry Pi, and
OpenCV. This book will equip you with the skills required to
successfully design and implement your own OpenCV, Raspberry Pi,
and Python-based computer vision projects. At the start, you'll
learn the basics of Python 3, and the fundamentals of single-board
computers and NumPy. Next, you'll discover how to install OpenCV 4
for Python 3 on Raspberry Pi, before covering major techniques and
algorithms in image processing, manipulation, and computer vision.
By working through the steps in each chapter, you'll understand
essential OpenCV features. Later sections will take you through
creating graphical user interface (GUI) apps with GPIO and OpenCV.
You'll also learn to use the new computer vision library, Mahotas,
to perform various image processing operations. Finally, you'll
explore the Jupyter Notebook and how to set up a Windows computer
and Ubuntu for computer vision. By the end of this book, you'll be
able to confidently build and deploy computer vision apps. What you
will learn Set up a Raspberry Pi for computer vision applications
Perform basic image processing with libraries such as NumPy,
Matplotlib, and OpenCV Demonstrate arithmetical, logical, and other
operations on images Work with a USB webcam and the Raspberry Pi
Camera Module Implement low-pass and high-pass filters and
understand their applications in image processing Cover advanced
techniques such as histogram equalization and morphological
transformations Create GUI apps with Python 3 and OpenCV Perform
machine learning with K-means clustering and image quantization Who
this book is forThis book is for beginners as well as experienced
Raspberry Pi and Python 3 enthusiasts who are looking to explore
the amazing world of computer vision. Working knowledge of the
Python 3 programming language is assumed.
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