We're wanting to see how well we can push the accuracy of the algorithm. With this in mind there's a few questions I'd love to find answers for:
Busy developer Stan Bogdanov graciously gave us a few minutes of his time this week to talk about his development background, his current app projects, and his thoughts on the software development landscape, and other interesting tidbits (like how he hacked his way into his mom’s work computer as a young lad!). Without further ado, here’s our interview.
Intel® Numeric String Conversion Library (libistrconv) is a new component introduced in Intel® C++ compiler version 14.0 Update 1. This library provides a collection of routines for converting between ASCII strings of decimal numbers and C numeric data types. These routines provide similar functionality as the GLIBC functions strtol, strtoll, strtof, strtod, and snprintf, but are highly optimized for performance. See the attached PDF file for an "Introduction to the Intel® Numeric String Conversion Library".
Hi everyone !
I got that camera for 3 days now and I've some trouble. I want to know why sometimes when I'm using the depth sensor I have some interference in the image.
A screen in the attachment.
I tried to use the camera in a room without light but it didn't change something. So is it normal or it is in my code ?
Using VS2013, trying to create the app that is in the document titled
"How to Use the Face Detection Module"
Created a new project, typed in the code exactly as it appears in the document which is on page 3. There is one difference though. When i created my console application, VS automatically puts a #include "stdafx." directive at the top of the main file.
Anyway, I created the source code, tried to compile, I then get the error
Code size optimization is a key factor, especially critical in embedded systems requiring code size reduction at the cost of application speed! Application developed for an embedded system is generally tuned for a particular processor with a finite memory size and hence memory is the main cost component of an embedded product. Directly impacting the memory requirement in an embedded system is the code size of the application, as reduced code size means lesser memory usage and lower cost of the product.
Remember back in the good old days when developers only had to create applications for one, maybe two different platforms? In the last ten years, this has changed dramatically: the number of form factors – smartphones, tablets, phablets, PCs, etc. – has absolutely exploded corresponding with the number of operating environments, making the job of a developer markedly more difficult. That’s where the need for cross-platform development comes in.
The user is the target
在企业安全技术（1）：检查平台AESNI支持和企业安全技术（2）：检查平台Secure Key支持中，我们默认的平台是Intel平台，所以有网友问我：如果在其他平台会怎么样？这是一个好问题！对于其他平台，最好的方法是根据它们的软件开发员手册仔细对照一下是否同样支持AESNI或者Secure Key？是否也有同样的检测办法？若开发者仅仅关心Intel平台，并且想自己的企业软件对其他平台免疫，那么最好的方法还是加入平台检查功能。在Intel平台尝试硬件解决方案，其他平台用软件解决方案。那么如何检查当前平台是Intel平台呢？本篇博客将介绍一种软件自动检查的方法。