OpenCV History[edit] Advance vision research by providing not only open but also optimized code for basic vision infrastructure. No more reinventing the wheel.Disseminate vision knowledge by providing a common infrastructure that developers could build on, so that code would be more readily readable and transferable.Advance vision-based commercial applications by making portable, performance-optimized code available for free—with a license that did not require to be open or free themselves. The first alpha version of OpenCV was released to the public at the IEEE Conference on Computer Vision and Pattern Recognition in 2000, and five betas were released between 2001 and 2005. The first 1.0 version was released in 2006. The second major release of the OpenCV was on October 2009. In August 2012, support for OpenCV was taken over by a non-profit foundation, OpenCV.org, which maintains a developer[2] and user site.[3] Applications[edit] OpenCV's application areas include: Programming language[edit]
What Programming Language Should a Beginner Learn in 2016? Introduction It’s not news that STEM talents are in great demand and are paid well. Online postings for software jobs across the U.S. grew 31% from 2007 to 2012 - nearly 3x faster than overall job postings. The US Bureau of Labor Statistics estimates software developer jobs to continue to grow at 22% from 2012~2022, with a median pay of $100,080 for software app developers as of May 2016. If you’re looking to learn how to code, the sheer number of programming languages may be overwhelming – what language should you indeed learn? This article hopes to give you some pointers by comparing the salary, popularity, and prospective future associated with different programming languages. Here's a Fun Quiz to help you decide the best programming language you should learn in 2017 Table of Contents An Overview of Programming Languages Before we go into comparing programming languages, let’s first take a look at the languages we’re going to be covering. Dynamic Languages JavaScript Ruby Python Java Other Ruby
OpenCV Tutorials The following links describe a set of basic OpenCV tutorials. All the source code mentioned here is provide as part of the OpenCV regular releases, so check before you start copy & pasting the code. The list of tutorials below is automatically generated from reST files located in our GIT repository. As always, we would be happy to hear your comments and receive your contributions on any tutorial. Introduction to OpenCVcore module. The Core Functionalityimgproc module. Welcome The Way of the Gopher Then came the research, the testimonials, the tutorials, the side-projects and 6 months later I realized I had been doing nothing but Node since I first read about it. It was just too easy, especially since I was in the business of prototyping new ideas every couple months. But Node wasn’t just for prototypes and pet projects. Fast forward another couple months and I’m at my current job as a backend developer for Digg. Our troublesome Node service had a fairly straightforward purpose. Node Octo performed well except for when it didn’t. The requests to the service also pass along a strict timeout value. The code was heavily asynchronous and we were caching S3 key values aggressively. I reworked the code three times, digging deeper than ever into Node optimizations, gotchas, and tricks for squeezing every last bit of performance out of it. A theory eventually emerged and it had to do with the way Node’s event loop works. And the non-blocking code?
OPENCV \ library OpenCV is an open source computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform, and runs on Mac OS X, Windows and Linux. It focuses mainly towards real-time image processing, as such, if it finds Intel's Integrated Performance Primitives on the system, it will use these commercial optimized routines to accelerate itself. This implementation is not a complete port of OpenCV. real-time capture video file import basic image treatment (brightness, contrast, threshold, …) object detection (face, body, …) blob detection Future versions will include more advanced functions such as motion analysis, object and color tracking, multiple OpenCV object instances … For more information about OpenCV visit the Open Source Computer Vision Library Intel webpage, the OpenCV Library Wiki, and the OpenCV Reference Manual (pdf). Installation instructions Documentation Credits
Tjatse/pm2-gui: An elegant web & terminal interface for Unitech/PM2. vision_opencv electric: Documentation generated on January 11, 2013 at 11:58 AMfuerte: Documentation generated on December 28, 2013 at 05:43 PMgroovy: Documentation generated on March 27, 2014 at 12:20 PM (job status).hydro: Documentation generated on March 27, 2014 at 01:33 AM (job status).indigo: Documentation generated on March 27, 2014 at 01:22 PM (job status). Documentation The vision_opencv stack provides packaging of the popular OpenCV library for ROS. For information about the OpenCV library, please see the OpenCV main page at links to complete documentation for OpenCV, as well as other OpenCV resources (like the bug tracker on For OpenCV vision_opencv provides several packages: cv_bridge: Bridge between ROS messages and OpenCV. image_geometry: Collection of methods for dealing with image and pixel geometry In order to use ROS with OpenCV, please see the cv_bridge package. As of electric, OpenCV is a system dependency. Using OpenCV in your ROS code
GitHub - dahlbyk/posh-git: A PowerShell environment for Git DisposaBoy/GoSublime: A Golang plugin collection for SublimeText **3**, providing code completion and other IDE-like features. angularjs - how to set custom headers with a $resource action? How to add AngularJS to your ASP.NET 5 applications AngularJS can be a great addition to your ASP.NET applications, but getting started can be a bit daunting for the uninitiated. Thankfully, you don’t have to go it alone. Let's take a look at how you can add AngularJS to your ASP.NET applications with minimal stress. The tools Before we dig too deep here, let’s take a look at the tools we’ll be using. Next, we’ll use AngularJS 1.4. We’ll also use Visual Studio 2015. Creating a sample project We’ll need an ASP.NET project (in order to Add Angular to it). Click OK. It may take a few minutes, but Visual Studio will initialize your new project for you. Now we’re ready to add AngularJS to the mix. Installing AngularJS There are several ways to add AngularJS to our project. AngularJS is available as a NuGet pakage. Now, let’s use npm to install AngularJS. Your package.json file defines your application’s npm dependencies. The file already has a section for development dependencies, which are those that are used to build your application.
Books Books About NetBeans JavaFX Rich Client Programming on the NetBeans Platform Published: November 2014, Addison-Wesley Professional Language: English Now built into Java and able to integrate with the NetBeans Platform, JavaFX is today’s state-of-the-art Java-based toolkit. With JavaFX, you can create advanced user interfaces, manipulate media, generate graphical effects and animations, and much more. The NetBeans Platform provides a framework for building robust, modular applications with long life expectancies. Authors: Gail Anderson, Paul Anderson. NetBeans IDE 8 Cookbook Published: October 2014, PACKT Publishing Language: English If you’re a Java developer of any level using NetBeans and want to learn how to get the most out of NetBeans, then this book is for you. Authors: David Salter, Rhawi Dantas. NetBeans Platform for Beginners Published: March 2014, Leanpub.com Language: English Authors: Walter Nyland and Jason Wexbridge, 366 Pages. Java EE and HTML5 Enterprise Application Development
$resource A resource "class" object with methods for the default set of resource actions optionally extended with custom actions. The default set contains these actions: Calling these methods invoke an $http with the specified http method, destination and parameters. It is important to realize that invoking a $resource object method immediately returns an empty reference (object or array depending on isArray). The action methods on the class object or instance object can be invoked with the following parameters: HTTP GET "class" actions: Resource.action([parameters], [success], [error])non-GET "class" actions: Resource.action([parameters], postData, [success], [error])non-GET instance actions: instance. Success callback is called with (value (Object|Array), responseHeaders (Function), status (number), statusText (string)) arguments, where the value is the populated resource instance or collection object. Class actions return empty instance (with additional properties below).