Tanay Pant Livres

Create web-based VR applications and deploy them to GitHub pages with this short, practical tutorial crammed with hands-on examples. This book covers topics such as VR, the WebVR API, and A-Frame. In Learning Web-based Virtual Reality, you will build a number of 3D VR-based applications. In these apps, you will be able to test the VR environments, walk through the virtual world, interact with the objects, and perceive these virtual realities with the help of Google Cardboard. By the end of the book, you will have a complete understanding of what WebVR is, knowledge of what VR devices are available, and the requirements to start working on WebVR. You will also be comfortable in using A-Frame and its various components to build your own VR projects. What You Will Learn Experience WebVR, the WebVR API, and WebVR libraries Make use of various pieces of VR hardware See popular WebVR projects Use A-Frame to build your own WebVR projects Who This Book Is For Developers who want to build and deploy web-based virtual reality technology. Understanding of HTML5, JavaScript, and CSS is required.

Build a voice-controlled virtual assistant using speech-to-text engines, text-to-speech engines, and conversation modules. This book shows you how to program the virtual assistant to gather data from the internet (weather data, data from Wikipedia, data mining); play music; and take notes. Each chapter covers building a mini project/module to make the virtual assistant better. You'll develop the software on Linux or OS X before transferring it to your Raspberry Pi, ready for deploying in your own home-automation or Internet of Things applications. Building a Virtual Assistant for Raspberry Pi walks you through various STTs and TTSs and the implementation of these components with the help of Python. After that you will start implementing logic for handling user queries and commands, so that the user can have conversations with Melissa. You will then work to improve logic handling to detect what the user wants Melissa to do. You will also work on building some useful applications/modules for Melissa, which will allow you to gain interesting information from Melissa such as the time, weather information, and data from Wikipedia. You will develop a music playing application as well as a note taking application for Melissa, laying the foundations for how Melissa can be further extended. Finally, you will learn how to deploy this software to your Raspberry Pi and how you can further scale Melissa to make her more intelligent, interactive and how you can use her in other projects such as home automation as well. What You'll Learn Design the workflow and discover the concepts of building a voice controlled assistant Develop modules for having conversations with the assistant Enable the assistant to retrieve information from the internet Build utilities like a music player and a note taking application for the virtual assistant Integrate this software with a Raspberry Pi Who This Book Is For Anyone who has built a home automation project with Raspberry Pi and now want to enhance it by making it voice-controlled. The book would also interest students from computer science or related disciplines