Raspberry Pi Computer Vision Programming Second Edition

Raspberry Pi Computer Vision Programming   Second Edition PDF Book Detail:
Author: Ashwin Pajankar
Publisher:
ISBN:
Size: 53.60 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 306
View: 6207

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Book Description: 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 Description Raspberry 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 for This book is...

Raspberry Pi Computer Vision Programming

Raspberry Pi Computer Vision Programming PDF Book Detail:
Author: Ashwin Pajankar
Publisher:
ISBN: 9781784398286
Size: 48.70 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 178
View: 1096

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Book Description: This book is intended for novices, as well as seasoned Raspberry Pi and Python enthusiasts, who would like to explore the area of computer vision. Readers with very little programming or coding/scripting experience can create wonderful image processing and computer vision applications with relatively fewer lines of code in Python.

Raspberry Pi Computer Vision Programming

Raspberry Pi Computer Vision Programming PDF Book Detail:
Author: Ashwin Pajankar
Publisher: Packt Publishing Ltd
ISBN: 1800201028
Size: 49.21 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 306
View: 3493

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Book Description: 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 Description Raspberry 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 for This 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.

Raspberry Pi Kochbuch

Raspberry Pi Kochbuch PDF Book Detail:
Author: Simon Monk
Publisher: O'Reilly
ISBN: 3960101171
Size: 19.78 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : de
Pages : 484
View: 3255

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Book Description: Das Raspberry-Pi-Universum wächst täglich. Ständig werden neue Erweiterungs-Boards und Software-Bibliotheken für den Single-Board-Computer entwickelt. Die zweite Ausgabe dieses beliebten Kochbuchs bietet mehr als 240 Hands-on-Rezepte für den Betrieb des kleinen Low-Cost-Computers mit Linux und für die Programmierung des Pi mit Python. Außerdem erläutert es die Anbindung von Sensoren, Motoren und anderer Hardware, einschließlich Arduino und das Internet der Dinge. Power-Maker und Autor Simon Monk vermittelt grundlegendes Know-how, das Ihnen hilft, auch neue Technologien und Entwicklungen zu verstehen und so mit dem Raspberry-Pi-Ökosystem mitzuwachsen. Dieses Kochbuch ist ideal für Programmierer und Bastler, die mit dem Pi bereits erste Erfahrungen gemacht haben. Alle Codebeispiele sind auf der Website zum Buch verfügbar. - Richten Sie Ihren Raspberry Pi ein und verbinden Sie ihn mit dem Netz. - Arbeiten Sie mit seinem Linux-basierten Betriebssystem Raspbian. - Lernen Sie, den Pi mit Python zu programmieren. - Verleihen Sie Ihrem Pi "Augen" für Anwendungen, die maschinelles Sehen erfordern. - Steuern Sie Hardware über den GPIO-Anschluss. - Verwenden Sie den Raspberry Pi, um unterschiedliche Motoren zu betreiben. - Arbeiten Sie mit Schaltern, Tastaturen und anderen digitalen Eingaben. - Verwenden Sie Sensoren zur Messung von Temperatur, Licht und Entfernung. - Realisieren Sie auf verschiedenen Wegen eine Verbindung zu IoT-Geräten. - Entwerfen Sie dynamische Projekte mit Raspberry Pi und dem Arduino.

Practical Opencv

Practical OpenCV PDF Book Detail:
Author: Samarth Brahmbhatt
Publisher: Apress
ISBN: 1430260793
Size: 80.83 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 244
View: 6927

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Book Description: Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library. Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It's used by major companies like Google (in its autonomous car), Intel, and Sony; and it is the backbone of the Robot Operating System’s computer vision capability. In short, if you're working with computer vision at all, you need to know OpenCV. With Practical OpenCV, you'll be able to: Get OpenCV up and running on Windows or Linux. Use OpenCV to control the camera board and run vision algorithms on Raspberry Pi. Understand what goes on behind the scenes in computer vision applications like object detection, image stitching, filtering, stereo vision, and more. Code complex computer vision projects for your class/hobby/robot/job, many of which can execute in real time on off-the-shelf processors. Combine different modules that you develop to create your own interactive computer vision app. What you’ll learn The ins and outs of OpenCV programming on Windows and Linux Transforming and filtering images Detecting corners, edges, lines, and circles in images and video Detecting pre-trained objects in images and video Making panoramas by stitching images together Getting depth information by using stereo cameras Basic machine learning techniques BONUS: Learn how to run OpenCV on Raspberry Pi Who this book is for This book is for programmers and makers with little or no previous exposure to computer vision. Some proficiency with C++ is required. Table of ContentsPart 1: Getting comfortable Chapter 1: Introduction to Computer Vision and OpenCV Chapter 2: Setting up OpenCV on your computer Chapter 3: CV Bling – OpenCV inbuilt demos Chapter 4: Basic operations on images and GUI windows Part 2: Advanced computer vision problems and coding them in OpenCV Chapter 5: Image filtering Chapter 6: Shapes in images Chapter 7: Image segmentation and histograms Chapter 8: Basic machine learning and keypoint-based object detection Chapter 9: Affine and Perspective transformations and their applications to image panoramas Chapter 10: 3D geometry and stereo vision Chapter 11: Embedded computer vision: Running OpenCV programs on the Raspberry Pi

Raspberry Pi Supercomputing And Scientific Programming

Raspberry Pi Supercomputing and Scientific Programming PDF Book Detail:
Author: Ashwin Pajankar
Publisher: Apress
ISBN: 1484228782
Size: 50.77 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 171
View: 337

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Book Description: Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis. Once the cluster is built, its power has to be exploited by means of programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, you will learn the concepts of the Message Passing Interface (MPI) standards and will explore the fundamentals of parallel programming on your inexpensive cluster. This will make this book a great starting point for supercomputing enthusiasts who want to get started with parallel programming. The book finishes with details of symbolic mathematics and scientific and numerical programming in Python, using SymPi, SciPy, NumPy, and Matplotlib. You’ll see how to process signals and images, carry out calculations using linear algebra, and visualize your results, all using Python code. With the power of a Raspberry Pi supercomputer at your fingertips, data-intensive scientific programming becomes a reality at home. What You Will Learn Discover the essentials of supercomputing Build a low-cost cluster of Raspberry Pis at home Harness the power of parallel programming and the Message Passing Interface (MPI) Use your Raspberry Pi for symbolic, numerical, and scientific programming Who This Book Is For Python 3 developers who seek the knowledge of parallel programming, Raspberry Pi enthusiasts, researchers, and the scientific Python community.

Computer Vision For The Web

Computer Vision for the Web PDF Book Detail:
Author: Foat Akhmadeev
Publisher: Packt Publishing Ltd
ISBN: 1785889877
Size: 72.72 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 116
View: 688

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Book Description: Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content About This Book Explore the exciting world of image processing, and face and gesture recognition, and implement them in your website Develop wonderful web projects to implement Computer Vision algorithms in an effective way A fast-paced guide to help you deal with real-world Computer Vision applications using JavaScript libraries Who This Book Is For If you have an interest in Computer Vision or wish to apply Computer Vision algorithms such as face, custom object, and gesture recognition for an online application, then this book is ideal for you. Prior understanding of the JavaScript language and core mathematical concepts is recommended. What You Will Learn Apply complex Computer Vision algorithms in your applications using JavaScript Put together different JavaScript libraries to discover objects in photos Get to grips with developing simple computer vision applications on your own Understand when and why you should use different computer vision methods Apply various image filters to images and videos Recognize and track many different objects, including face and face particles using powerful face recognition algorithms Explore ways to control your browser without touching the mouse or keyboard In Detail JavaScript is a dynamic and prototype-based programming language supported by every browser today. JavaScript libraries boast outstanding functionalities that enable you to furnish your own Computer Vision projects, making it easier to develop JavaScript–based applications, especially for web-centric technologies. It makes the implementation of Computer Vision algorithms easier as it supports scheme-based functional programming. This book will give you an insight into controlling your applications with gestures and head motion and readying them for the web. Packed with real-world tasks, it begins with a walkthrough of the basic concepts of Computer Vision that the JavaScript world offers us, and you'll implement various powerful algorithms in your own online application. Then, we move on to a comprehensive analysis of JavaScript functions and their applications. Furthermore, the book will show you how to implement filters and image segmentation, and use tracking.js and jsfeat libraries to convert your browser into Photoshop. Subjects such as object and custom detection, feature extraction, and object matching are covered to help you find an object in a photo. You will see how a complex object such as a face can be recognized by a browser as you move toward the end of the book. Finally, you will focus on algorithms to create a human interface. By the end of this book, you will be familiarized with the application of complex Computer Vision algorithms to develop your own applications, without spending much time learning sophisticated theory. Style and approach This book is an easy-to-follow project-based guide that throws you directly into the excitement of the Computer Vision theme. A “more in less” approach is followed by important concepts explained in a to-the-point, easy-to-understand manner.

Raspberry Pi Image Processing Programming

Raspberry Pi Image Processing Programming PDF Book Detail:
Author: Ashwin Pajankar
Publisher: Apress
ISBN: 148422731X
Size: 77.40 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 126
View: 5405

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Book Description: Write your own Digital Image Processing programs with the use of pillow, scipy.ndimage, and matplotlib in Python 3 with Raspberry Pi 3 as the hardware platform. This concise quick-start guide provides working code examples and exercises. Learn how to interface Raspberry Pi with various image sensors. What You'll Learn Understand Raspberry Pi concepts and setup Understand digital image processing concepts Study pillow, the friendly PIL fork Explore scipy.ndimage and matplotlib Master use of the Pi camera and webcam Who This Book Is For Raspberry Pi and IoT enthusiasts, digital image processing enthusiasts, Python and Open Source enthusiasts and professionals

Raspberry Pi Amazing Projects From Scratch

Raspberry Pi  Amazing Projects from Scratch PDF Book Detail:
Author: Ashwin Pajankar
Publisher: Packt Publishing Ltd
ISBN: 1787121283
Size: 52.16 MB
Format: PDF
Category : Computers
Languages : en
Pages : 593
View: 3031

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Book Description: Explore the powers of Raspberry Pi and build your very own projects right out of the box About This Book From robotics to gaming, this Learning Path will unlock your creativity! Build your own impressive IoT projects to transform your home Featuring some of Packt's very best Raspberry Pi content, this Learning Path doesn't just get you to your destination – it opens up a whole horizon of possibilities! Who This Book Is For Want new ideas for your next Raspberry Pi project? Got one lying around gathering dust? This Learning Path gets you straight into the creative dirty work of programming and playing with your pi. Whether your new to Raspberry Pi, or an experienced maker, we think this Learning Path will inspire you and get your creative juices flowing! What You Will Learn Discover an aweome range of Raspberry Pi projects Bridge the gap between software and hardware through your Pi and find out how to make an operating system interact with cameras and other hardware Find out how to use your Raspberry Pi for gaming Secure your home with this tiny computer! Make science fiction a reality – build a walking robot In Detail Looking for inspiration for your next Raspberry Pi project? Not sure where to begin? This Learning Path is the perfect place to begin, providing you with an accessible yet comprehensive journey through Raspberry Pi. Following three modules, you'll soon be confident and prepared to get creative with your microcomputer. Raspberry Pi by Example is the first module in this Learning Path – and it does exactly what it says. It doesn't just teach, it shows you how to go and build some awesome Raspberry Pi projects immediately. Build and play your own games with the Pi, build a complete Internet of Things home automation system that controls your house through Twitter... let your imagination run wild! In the next module we'll look in more depth at building a home security system. You'll be using some of the skills you devoped through the first module, but apply them to something more intricate and impressive. Using a Linux based operating system as the foundations, you'll gradually build up an entire security infrastructure adding cameras, remote controls, and even intrusion alerts! In the final module, we'll take you into the world of Raspberry Pi robotics. By the end of it, you'll have built a biped robot that can interact with its environment! This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Raspberry Pi By Example by Ashwin Pajankar and Arush Kakkar Building a Home Security System with Raspberry Pi by Matthew Pole Raspberry Pi Robotics Essentials by Richard Grimmett Style and approach It's not every day you build a home automation system. It's not every day you build a walking robot. But with this Learning Path you'll do just that. So get started and let this tiny computer expand your imagination.