Esempi di codice

Intel Real Sense - Voice Recognition

Abstract

In questo post  andremo a vedere come utilizzare la Real Sense F200-Front Facing Camera ed il Real Sense SDK 2014 per realizzare una applicazione di ‘voice recognition’. 

  • Sviluppatori
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Tecnologia Intel® RealSense™
  • C/C++
  • Intermedio
  • SDK Intel® RealSense™
  • Tecnologia Intel® RealSense™
  • Intel RealSense
  • Voice Recognition
  • R200 Event Based Sensor Code Sample

    The Intel® RealSense™ 3D Camera Rear R200 (DS4) Event Based Sensor sample illustrates how to use on-board sensors to aid in 3D capture stability when using Intel® RealSense™ technology.
  • Sviluppatori
  • Microsoft Windows* 8.x
  • Tecnologia Intel® RealSense™
  • C/C++
  • Principiante
  • Tecnologia Intel® RealSense™
  • R200
  • WindowsCodeSample
  • Sensori
  • Консервативное морфологическое сглаживание (CMAA) — обновление за март 2014 г.

    Эта статья взята из блога Ли Дейвиса (Leigh Davies) на IDZ. Здесь описывается работа Ли и его коллеги Филипа Стругара (Filip Strugar) над новым алгоритмом сглаживания, который называется «консервативное морфологическое сглаживание». Ниже приводится содержимое блога и доступный для загрузки проект с исходным кодом.  

  • Sviluppatori
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Sviluppo di videogame
  • Windows*
  • C/C++
  • Avanzato
  • Intermedio
  • Microsoft DirectX*
  • GameCodeSample
  • Sviluppo di videogame
  • Contratto di licenza: 

    Transformada rápida de Fourier para procesar imágenes en DirectX* 11

    This sample demonstrates an optimized FFT that uses compute shaders and Shared Local Memory (SLM) to improve performance by reducing memory bandwidth.Two FFT techniques are discussed. The first is UAV and operates by ping-ponging data repeatedly between Unordered Access Views (UAVs). SLM (Shared Local Memory) is the second technique and is a more memory-bandwidth-efficient method, showing significant performance gains when bottlenecked by memory bandwidth.
  • Sviluppatori
  • Microsoft Windows* 8.x
  • Sviluppo di videogame
  • Windows*
  • C/C++
  • Intermedio
  • GameCodeSample
  • Discrete Fourier Transform
  • DFT
  • Unordered Access View
  • Compute Shader
  • dx11
  • directx 11
  • Sviluppo di videogame
  • 使用安卓* 电话通过英特尔® Edison的蓝牙串行端口 (SPP) 与Arduino代码通信

    简介:

    在 Arduino 环境中,可以非常便捷地访问 BT SPP(比如串行端口),并响应 BT 串行端口 传来的命令字符串。 许多 Arduino 项目均运用这种方法支持项目的远程控制。 以前,您需要 采用额外的 BT shield 或 BT 套件在英特尔® Galileo 上存档。 现在,借助英特尔® Edison 的内置 BT 支持,您可以使用带有 Arduino breakout 开发板的 Edison 模块完成存档。 不再 需要额外的 BT shield。

    System Architecture

    要求:

    • Android* 手机或运行 Android 系统的平板电脑,且带有蓝牙。

    Ejemplos de código del SDK de Intel® RealSense™

    Kickstart your use of the Intel® RealSense™ SDK with twelve simple C# code samples. Build simple console applications to demonstrate camera calibration and device enumeration, emotion, face, hand, and speech modalities, object tracking, segmentation, and camera streams.
  • Sviluppatori
  • Microsoft Windows* 8.x
  • Tecnologia Intel® RealSense™
  • Windows*
  • C#
  • Intermedio
  • SDK Intel® RealSense™
  • Tecnologia Intel® RealSense™
  • Intel® RealSense™ Technology
  • Intel® RealSense™
  • Intel RealSense
  • RealSense SDK
  • face tracking
  • camera calibration
  • Emotion Detection
  • Gesture Recognition
  • object tracking
  • user segmentation
  • speech recognition
  • hands-on lab
  • Brazil
  • Code Samples for Detection of System GPU, Battery Mode, and Windows* 8 On-screen Keyboard in Unity*

    Download the Intel® Toolkit from the Unity* Asset Store for code samples to help you display Windows native mode touch and touch feedback visuals, use the on-screen keyboard in Windows* 8 with Unity*, and find the device's current battery mode and its GPU type.
  • Sviluppatori
  • Sviluppo di videogame
  • Unity
  • Principiante
  • Intermedio
  • unity
  • Unity Asset.
  • Intel Toolkit
  • game development
  • GameDev
  • Code sample
  • detect gpu
  • battery mode
  • windows on-screen keyboard
  • Sviluppo di videogame
  • Hadoop RPC机制+源码分析

     一、RPC基本原理


    RPC是一种通过网络从远程计算机上请求服务的机制,封装了具体实现,使用户不需要了解底层网络技术。目前存在许多开源RPC框架,比较有名的有Thrift、Protocol Buffers和Avro。Hadoop RPC与他们一样,均由两部分组成:对象序列化和远程过程调用。
    RPC采用客户机/服务器模型,在OSI网络通信模型中,RPC跨越了传输层和应用层,它使得开发分布式应用程序更加容易。一个典型的RPC框架主要包括以下几个部分:
    1.通信模块:两个相互协作的通信模块实现请求应答协议,他们在客户机与服务器之间传递请求和应答消息,一般不会对数据包进行任何处理。
    注意:请求应答协议有两种方式:同步与异步。同步指客户端程序一致阻塞到服务器端发送的应答请求到达本地。异步指客户端将请求发送到服务器端后,不必等待应答返回,可以继续做其他的事情,带服务器端处理完请求后,主动通知客户端。在高并发情景中,异步方式可以有效降低访问延迟和提高宽带利用率。

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