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Author: Oscar Deniz Suarez
Publisher: Packt Publishing Ltd
ISBN: 1783984252
Category : Computers
Languages : en
Pages : 331
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Book Description
This book is intended for C++ developers who want to learn how to implement the main techniques of OpenCV and get started with it quickly. Working experience with computer vision / image processing is expected.
Author: Oscar Deniz Suarez
Publisher: Packt Publishing Ltd
ISBN: 1783984252
Category : Computers
Languages : en
Pages : 331
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Book Description
This book is intended for C++ developers who want to learn how to implement the main techniques of OpenCV and get started with it quickly. Working experience with computer vision / image processing is expected.
Author: Michael Beyeler
Publisher: Packt Publishing Ltd
ISBN: 178398029X
Category : Computers
Languages : en
Pages : 368
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Book Description
Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book Load, store, edit, and visualize data using OpenCV and Python Grasp the fundamental concepts of classification, regression, and clustering Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide Evaluate, compare, and choose the right algorithm for any task Who This Book Is For This book targets Python programmers who are already familiar with OpenCV; this book will give you the tools and understanding required to build your own machine learning systems, tailored to practical real-world tasks. What You Will Learn Explore and make effective use of OpenCV's machine learning module Learn deep learning for computer vision with Python Master linear regression and regularization techniques Classify objects such as flower species, handwritten digits, and pedestrians Explore the effective use of support vector machines, boosted decision trees, and random forests Get acquainted with neural networks and Deep Learning to address real-world problems Discover hidden structures in your data using k-means clustering Get to grips with data pre-processing and feature engineering In Detail Machine learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. Computer vision is one of today's most exciting application fields of machine learning, with Deep Learning driving innovative systems such as self-driving cars and Google's DeepMind. OpenCV lies at the intersection of these topics, providing a comprehensive open-source library for classic as well as state-of-the-art computer vision and machine learning algorithms. In combination with Python Anaconda, you will have access to all the open-source computing libraries you could possibly ask for. Machine learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all the basics are covered, you will start exploring various algorithms such as decision trees, support vector machines, and Bayesian networks, and learn how to combine them with other OpenCV functionality. As the book progresses, so will your machine learning skills, until you are ready to take on today's hottest topic in the field: Deep Learning. By the end of this book, you will be ready to take on your own machine learning problems, either by building on the existing source code or developing your own algorithm from scratch! Style and approach OpenCV machine learning connects the fundamental theoretical principles behind machine learning to their practical applications in a way that focuses on asking and answering the right questions. This book walks you through the key elements of OpenCV and its powerful machine learning classes, while demonstrating how to get to grips with a range of models.
Author: Barrett Williams
Publisher: Barrett Williams
ISBN:
Category : Computers
Languages : en
Pages : 194
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Book Description
**Discover the Power of Raspberry Pi and Python Unleash Your Programming Potential** Unlock the endless possibilities of Raspberry Pi with our comprehensive guide, "Raspberry Pi Programming Essentials." This eBook is crafted to guide beginners and intermediate programmers through the incredible capabilities of Raspberry Pi, providing a thorough and practical approach to mastering Python programming and hardware integration. **Dive into the Basics** Get started with an insightful introduction to Raspberry Pi and Python. Learn how to set up your Raspberry Pi, familiarize yourself with its components, and begin your journey into Python programming with fundamental concepts such as syntax, variables, and control structures. **Hands-On Hardware Projects** Bring your code to life with practical tutorials on GPIO pins. Discover how to control LEDs, read inputs from various sensors, and build simple circuits using breadboards and push buttons. Explore exciting projects like temperature and humidity sensing, motion detection, and light sensing. **Advanced Display Techniques** Step up your game by interfacing with different displays, including LCD screens, OLED displays, and seven-segment displays. Learn to visualize data effectively, turning your Raspberry Pi into a versatile information hub. **Intermediate Python Mastery** Enhance your programming skills by delving into more complex Python concepts. Master functions, modules, exception handling, and file management to create robust and efficient programs. **Smart Home Automation** Transform your living space with home automation projects. From smart lighting systems to automated temperature control and comprehensive home security setups, this book guides you through integrating technology into everyday life. **Weather Stations and Networking** Build your own weather station to gather and display real-time weather data. Learn to set up network connections and communicate with other devices, enabling you to build simple web servers and connect to the internet of things (IoT). **Robotics and Advanced Projects** Venture into the fascinating world of robotics. Control motors and servos, build basic robots, and even delve into image processing and computer vision with OpenCV. Create innovative projects like personal assistants, media centers, and smart mirrors. **Debugging, Optimization, and Future Learning** Equip yourself with essential debugging and troubleshooting techniques for both software and hardware. Improve your code efficiency and hardware performance, ensuring your projects run smoothly. "Raspberry Pi Programming Essentials" is your ultimate guide to mastering Raspberry Pi and Python, loaded with practical projects and expert insights to ignite your creativity and technical skills. Take your first step towards becoming a Raspberry Pi virtuoso and let your innovations shine.
Author: Richard Grimmett
Publisher: Packt Publishing Ltd
ISBN: 1785285645
Category : Computers
Languages : en
Pages : 158
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Book Description
The Raspberry Pi B2 is an inexpensive embedded processor that provides a high-performance Linux development environment. This book is a fast-paced guide that will show you how to use Raspberry Pi technology to build a biped robot that can interact with its environment. We start off by explaining the basics of getting your Raspberry Pi up and running, ready to be mounted on your biped platform. After this, you will be introduced to the art of constructing a mechanism for the biped platform. You will then learn to develop a vision system for your robot, as well as a means by which you can control and monitor it. At the end of this book, you will have learned enough to build a complex biped robot that can walk, turn, find its way, and "see" its environment.
Author: Prateek Joshi
Publisher: Packt Publishing Ltd
ISBN: 1785287079
Category : Computers
Languages : en
Pages : 297
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Book Description
Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images Who This Book Is For If you are a software developer with a basic understanding of Computer Vision and image processing and want to develop interesting Computer Vision applications with Open CV, this is the book for you. Knowledge of C++ is required. What You Will Learn Install OpenCV 3 on your operating system Create the required CMake scripts to compile the C++ application and manage its dependencies Get to grips with the Computer Vision workflows and understand the basic image matrix format and filters Understand the segmentation and feature extraction techniques Remove backgrounds from a static scene to identify moving objects for video surveillance Track different objects in a live video using various techniques Use the new OpenCV functions for text detection and recognition with Tesseract In Detail Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition. Style and approach This book is a practical guide with lots of tips, and is closely focused on developing Computer vision applications with OpenCV. Beginning with the fundamentals, the complexity increases with each chapter. Sample applications are developed throughout the book that you can execute and use in your own projects.
Author: Samarth Brahmbhatt
Publisher: Apress
ISBN: 1430260793
Category : Computers
Languages : en
Pages : 229
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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
Author: Gary R. Bradski
Publisher:
ISBN: 9787564116293
Category : Computer vision
Languages : zh-CN
Pages : 555
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Book Description
本书介绍了计算机视觉,例证了如何迅速建立使计算机能“看”的应用程序,以及如何基于计算机获取的数据作出决策.
Author: Joseph Howse
Publisher:
ISBN: 9781782163923
Category : Computers
Languages : en
Pages : 0
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Book Description
A practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.OpenCV Computer Vision with Python is written for Python developers who are new to computer vision and want a practical guide to teach them the essentials. Some understanding of image data (for example, pixels and color channels) would be beneficial. At a minimum you will need access to at least one webcam. Certain exercises require additional hardware like a second webcam, a Microsoft Kinect or an OpenNI-compliant depth sensor such as the Asus Xtion PRO.
Author: Sunila Gollapudi
Publisher: Apress
ISBN: 1484242610
Category : Computers
Languages : en
Pages : 163
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Book Description
Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you’ll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision. After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work. What You Will LearnUnderstand what computer vision is, and its overall application in intelligent automation systems Discover the deep learning techniques required to build computer vision applications Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis Who This Book Is ForThose who have a basic understanding of machine learning and Python and are looking to learn computer vision and its applications.
Author: Murat Durmus
Publisher: Murat Durmus
ISBN:
Category : Computers
Languages : en
Pages : 160
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Book Description
Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know. "Python is not just a language, it's a community where developers can learn, collaborate and create wonders." ~ Guido van Rossum (Creator of Python)
