![]() The $35 Model B was released first, around February 2012, originally with 256 MB of RAM. It all started when a chap named Eben Upton (now an employee at Broadcom) got together with his colleagues at the University of Cambridge's computer laboratory, to discuss how they could bring back the kind of simple programming and experimentation that was widespread among kids in the 1980s on home computers such as the BBC Micro, ZX Spectrum, and Commodore 64.Īfter several years of tinkering, the Foundation came up with two designs for the Raspberry Pi. General familiarity with object-oriented programming, application development, and usage of operating systems (OS), developer tools, and the command line is required.The Raspberry Pi is a credit-card-sized computer created by the non-profit Raspberry Pi Foundation in the UK. ![]() ![]() The book will also help existing OpenCV users who want upgrade their projects to OpenCV 4 and new versions of other libraries, languages, tools, and operating systems. If you are an experienced software developer who is new to computer vision or machine learning, and wants to study these topics through creative projects, then this book is for you. Develop OpenCV 4 Android applications in Android Studio and Unity.Build OpenCV 4 projects in Python 3 for desktops and Raspberry Pi.Make a physics simulation that detects shapes in a real-world drawing.Amplify motion in a real-time video to show heartbeats and breaths.Detect and recognize human and cat faces to trigger an alarm.Detect car headlights and estimate their distance.Detect motion and recognize gestures to control a smartphone game. ![]() In addition to this, you’ll also learn how to train a search engine to praise or criticize the images that it finds, and build a mobile app that speaks to you and responds to your body language.īy the end of this book, you will be equipped with the knowledge you need to advance your skills as an app developer and a computer vision specialist. You’ll be able to protect your home and car with intelligent camera systems that analyze obstacles, people, and even cats. Taking inspiration from the world of James Bond, this book will add a touch of adventure and computer vision to your daily routine. For Android app development, the book also supports Java in Android Studio, and C# in the Unity game engine. To enable you to build apps for diverse desktop systems and Raspberry Pi, the book supports multiple Python versions, from 2.7 to 3.7. OpenCV 4 for Secret Agents features a broad selection of projects based on computer vision, machine learning, and several application frameworks. With this handy library, you’ll be able to build a variety of impressive gadgets. It is open source, supports many programming languages and platforms, and is fast enough for many real-time applications. OpenCV 4 is a collection of image processing functions and computer vision algorithms. Work with images from diverse sources, including the web, research datasets, and various cameras.Detect, classify, recognize, and measure real-world objects in real-time.Build OpenCV 4 apps with Python 2 and 3 on desktops and Raspberry Pi, Java on Android, and C# in Unity.Turn futuristic ideas about computer vision and machine learning into demonstrations that are both functional and entertaining Key Features
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