Из этого руководства вы узнаете, как работать с префабами и образцами, идущими в комплекте с Unity* Toolkit в Intel® RealSense™ SDK R2 (v4.0). Предполагается, что вы уже импортировали Toolkit в среду Unity и умеете применять сценарий RealSense к объекту Unity. Если вы используете Unity 5, добавьте в проект две 64-битные библиотеки, которые находятся в папке \RSSDK\bin\x64.
In DirectX 12, Microsoft reduced resource overhead to improve application efficiency, cutting CPU usage by more than half. This decreases energy consumption and allows gamers a longer play time on mobile devices. Wolfgang Engel of Confetti describes the new resource binding mechanisms that developers will need for managing and tracking resources with DirectX 12.
Lee Bamber describes how you can scan a person with your front facing Intel RealSense 3D camera, generate a 3D character, and place this character in a virtual 3D world on your device.
My current job is to lead our company's work on dynamic server languages, such as performance optimization and feature enabling. Besides PHP and HHVM, we want to improve Python. There is a huge amount of Python code in use out there, for example running OpenStack, Swift, DropBox and many others. What I didn't realize when I took the job was that much of this use is in a "dead" language.
Parallel Universe is Intel's quarterly magazine that explores inroads and innovations in software development. The new issue takes a deep dive into the subject of vectorization and what it can do for you. Our first feature article looks at the SIMD directives for explicit vector programming now available in OpenMP. The second article walks you through Vectorization Advisor, a new tool in the latest version of Intel® Advisor XE that can help answer your questions about vectorization.
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.
Intel® IPP is an extensive library which includes thousands of optimized functions covering frequently used fundamental algorithms including those for creating digital media, enterprise data, embedded, communications, and scientific/technical applications. Intel IPP includes routines for Image Processing, Computer Vision, Data Compression, Signal Processing and (with an optional add-on) Cryptography. Intel IPP is available for Linux*, OS X* and Windows*.
New memory access analysis in XE 2016 version, combines functions from old Memory Access and Bandwidth. And there is a new feature to trace system memory allocation / de-allocation in your code. Note that this feature uses of instrumenting system memory allocation / de-allocation APIs, it will increase additional runtime overhead. The limitations are: 1. It is only available in Linux* operation system 2. Only support Sandy Bridge processors or later