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Plasma Bigscreen

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  • Plasma Bigscreen – A Dive Into Mycroft Skills, Voice Applications & More

    In this blog post I would like take you through an introduction to Mycroft GUI Skills and Voice Applications technology on Plasma Bigscreen and showcase some of the interesting stuff I have been working on for the Plasma Bigscreen Project which are available on the beta image release for the Raspberry PI 4. This beta image show cases not only media-rich voice applications but also applications specialised to fit the Bigscreen experience all developed under an open process, more information on them in the sections below.

    Plasma Bigscreen is the free open-source user interface experience for those big TV Screens, It consist of KDE Plasma technology powering the User Interface with Mycroft AI’s voice assistance technology packaged together on the image to provide a Smart TV platform and is based on KDE Neon.

    The experience when sitting 10 feet away from your TV just isn’t complete without having the ease of access to control it and that’s exactly the space in which Mycroft AI the open-source voice assistant experience fits right in to provide you with that hands free easy interaction.

  • Plasma Bigscreen

    Today I want to introduce a project I have been working on together (mostly in the background) with some colleagues of mine… Now with beta status reached, it’s time to more publicly talk about it: enter Plasma Bigscreen.

    Smart TVs are becoming more and more complete computers, but unfortunately there the experience tends to be a tight walled garden between proprietary platform, services and privacy-infringing features. Features which are very cool, like voice control, but in order to not pose a threat to the user privacy should be on a free software stack and depending less on proprietary cloud platforms where possible.

    Plasma BigScreen is a platform intended to use on smart TVs (trough a powerful enough small computing platform, such as the Raspberry Pi4, or any tiny computer if you need more power) with big remote-friendly UI controls, and Voice activation. What technology did we use for it? Plasma (of course!) and Mycroft.

Plasma on TV: Presenting Plasma Bigscreen

  • Plasma on TV: Presenting Plasma Bigscreen

    Plasma Bigscreen is KDE's user interface for big TV screens.

    Plasma Bigscreen powers the interface on a Single Board Computer and uses the Mycroft AI voice assistant to provide a Smart TV platform. Plasma Bigscreen will deliver not only media-rich applications, but also traditional desktop applications redesigned to fit the Bigscreen experience.

KDE’s Plasma Bigscreen Project Aims to Bring Plasma Desktop

  • KDE’s Plasma Bigscreen Project Aims to Bring Plasma Desktop to Smart TVs

    As its name suggests, Plasma Bigscreen will be a variant of KDE’s Plasma desktop environment for TVs that can be controlled with the remote control of your smart TV.

    The project is designed to support single-board computers like the Raspberry Pi and takes advantage of the open-source Mycroft AI voice assistant project to deliver voice control capabilities on big TV screens.

    By default, Mycroft AI uses Google’s speech-to-text (STT) system to send anonymized utterances to Google. However, users are free to de-activate voice recognition or switch to a different backend, including a self-hosted STT system like Mozilla Deepspeech.

Turn Your Regular TV into a Smart TV With KDE Plasma Bigscreen

  • Turn Your Regular TV into a Smart TV With KDE Plasma Bigscreen

    Smart TVs are the new normal these days. Mostly based on Android, these smart TVs let you play YouTube, Netflix, Spotify and other streaming services. You can even use voice commands to control your smart TV.

    One major problem with these so-called smart TVs are that they probably are spying on you. Your data is being collected with or without your knowledge.

    This is the problem KDE’s Plasma Bigscreen project is aiming to solve.

  • Plasma on TV: Presenting Plasma Bigscreen

    The KDE.News site is carrying an announcement for the Plasma Bigscreen environment, which is meant for large-screen televisions.

KDE’s Plasma Bigscreen is an open source user environment

  • KDE’s Plasma Bigscreen is an open source user environment design for TVs

    In a nutshell, Plasma Bigscreen brings the sort of features you’d expect from a smart TV platform like Apple TV, Android TV, Fire OS, or the Roku user interface. It’s optimized so that you can easily view everything while sitting on a couch ten feet from the screen. And you can navigate using a remote control or voice controls rather than a mouse and keyboard.

    Instead of small icons, apps are represented by large cards that should be easy to see from your couch. And rows of apps are arranged by category such as games, applications, and voice apps. There’s a Recent section at the top of the screen to help you find that thing you were using last time you turned on your TV.

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More in Tux Machines

today's leftovers

  • QQ for Linux 2.0 Beta2 Released with Stability Improvements

    QQ for Linux, the popular instant messaging apps developed by Tencent, released the second Beta on April Fools’ Day. The development of QQ on Linux is quite slow. It has been 5 months since the last release.

  • LibreOffice's extension Formatting of All Math Formulas 0.1.9 is released

    We have updated our extension Formatting of All Math Formulas to 0.1.9 version. The extension allows you to change font and font size for all (or only for selected) Math formulas in your Writer, Calc, Draw or Impress document for one time.

  • Foundation is now close to Catalina compatibility

    I have worked hard to get it to this point, but all of the classes in Catalina are now present in GNUstep's base implementation. Soon, all of the classes available in AppKit will also be available in GNUstep's GUI implementation.

  • Bassel Khartabil Fellowship Awarded to Tarek Loubani—Using Open Access to Combat COVID-19

    The Fellowship award will allow Loubani to Combat COVID-19 through the release of Open Access plans for medical hardware, so that vital equipment may be produced cheaply by anyone with commonly available 3D printers. Loubani’s approach enables high quality devices to be made available during periods of global supply chain disruption, and in areas with limited access. Glia has released face shields already being used in the battle against COVID-19, as well as other hardware including stethoscopes, tourniquets, and otoscopes. Additional devices including pulse oximeters, electrocardiograms, and dialysis products are currently in development. See the full press release for more information about Loubani’s work and how the fellowship will support his efforts.

  • Code Search for Google open source projects

    We are pleased to launch Code Search for Google open source projects. Code Search is one of Google’s most popular internal tools, and now we have a version (same binary, different flags) targeted to open source communities. Googlers use Code Search every day to help understand the codebase: they search for half-remembered functions and usages; jump through the codebase to figure out what calls the function they are viewing; and try to identify when and why a particular line of code changed. The Code Search tool gives a rich code browsing experience. For example, the blame button shows which user last changed each line and you can display history on the same page as the file contents. In addition, it supports a powerful search language and, for some repositories, cross-references.

  • Google Opens Code Search For Angular, Dart, TensorFlow And More

    Google has announced the launch of Code Search for its popular open source projects — Angular, Bazel, Dart, ExoPlayer, Firebase SDK, Flutter, Go, gVisor, Kythe, Nomulus, Outline, and Tensorflow.

  • The Linux Foundation to Award 500 Training Scholarships
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    On March 31, the OpenDaylight Magnesium release became generally available marking the 12th release of the open source Software Defined Networking (SDN) controller platform. The OpenDaylight project was officially announced in April 2013 with a long list of marquee sponsor all focused on the goal of creating an open source SDN controller. OpenDaylight has two releases in any given year, with Magnesium following up the Sodium and Neon releases from 2019. As is often the case, there are updates to existing projects as well as the addition of new projects in the Magnesium release. OpenDaylight is a platform that is comprised of multiple modular component project that users can choose to mix and match in different configurations as needed.

  • Strange Times: During The COVID-19 Outbreak, Evictions Get A Pause...In Final Fantasy 14

    As the world navigates the reality of the COVID-19 worldwide pandemic, we've already noted several ways that the outbreak has changed our daily lives. Me being me, I noticed just how many professional sports organizations were moving into broadcast versions of their eSports as a way to fill the void. That of course isn't the only way video game life has changed.

  • Cellar Door Games have officially announced Rogue Legacy 2

    Rogue Legacy 2 from Cellar Door Games is a "genealogical" rogue-lite following the popular gameplay idea from the original, where you die and pass on your skills and continue to grow through new characters. While there's currently no platforms mentioned for release since they've only just begun teasing it (there's not even a trailer yet), it's likely it will come to Linux since both the original Rogue Legacy and Cellar Door's other title Full Metal Furies were on Linux and they were ported by Ethan Lee.

  • X-Plane 11.50 has a first Beta with Vulkan API support which should improve performance

    X-Plane 11 is a very highly rated flight simulation game and Laminar Research have been working on advancing the graphics side of it, with a first Beta out for the next version with Vulkan support. Announced on their official blog yesterday, Laminar mentioned that had 50+ third-party developers do plenty of private testing for them but as this is the first public Beta it will likely have some issues. For the Linux version any Linux distribution that can run recent GPU drivers should be fine, with any somewhat recent GPU that supports Vulkan. On the NVIDIA side you need at least driver version 440.26 but Mesa version for AMD was not mentioned (Intel seems not supported).

Python Programming

  • Split String in Python

    When a string of multiple words is divided into the specific number of words based on a particular separator then it is called string splitting. Most of the programming languages use the split() method to divide a string into multiple words. The return type of this method is an array for many standard programming languages. the split() method is used in Python also to divide a string into words and it returns a list of words based on the separator. How to split() method can be used in Python is shown in this article by using different examples. Spyder3 editor is used here to write and execute the python script.

  • Send and receive UDP packets via Python

    We already know about two main transport layer protocols like TCP and UDP. For more information about TCP and UDP you can check reference section. In this article we will learn how to send and receive UDP packets using python program.

  • The 7 most popular ways to plot data in Python

    "How do I make plots in Python?" used to have a simple answer: Matplotlib was the only way. Nowadays, Python is the language of data science, and there's a lot more choice. What should you use? This guide will help you decide. It will show you how to use each of the four most popular Python plotting libraries—Matplotlib, Seaborn, Plotly, and Bokeh—plus a couple of great up-and-comers to consider: Altair, with its expressive API, and Pygal, with its beautiful SVG output. I'll also look at the very convenient plotting API provided by pandas. For each library, I've included source code snippets, as well as a full web-based example using Anvil, our platform for building web apps with nothing but Python. Let's take a look.

  • Episode 3: Effective Python and Python at Google Scale

    In this episode, Christopher interviews Brett Slatkin about the 2nd edition of his book Effective Python. Brett talks about the revisions he made for the book, and updating it for the newest versions of Python 3. Christopher asks who is the intended developer for the book. Brett also discusses working on Google App Engine, and what it’s like to develop and maintain Python applications at Google Scale. Brett mentions a brief anecdote about working with Guido van Rossum, while they both worked at Google. He also provides advice about maintaining a large and aging Python code base.

  • Randy Zwitch: Building pyarrow with CUDA support

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  • Python String Formatting

    The string Formatting is a very important task of any type of programming language. It helps the user to understand the output of the script properly. The string formatting can be done in Python in various ways, such as using ‘%’ symbol, format() method, string interpolation, etc. This article shows how the string data can be formatted in Python by using different string formatting methods. Spyder3 editor is used here to write and run the script. Two types of formatting parameters can be used in Python. These are positional parameters and keyword parameters. The parameter which is accessed by the index is called the positional parameter and the parameter which is accessed by key is called the keyword parameter. The uses of these parameters are shown in the next part of this article.

  • 30 Days Of Python | Day 3 Project: A Simple Earnings Calculator

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  • When to use the Clean Architecture?

    There are few possible reactions after learning about the Clean Architecture or Hexagonal Architecture (AKA Ports & Adapters) or even merely innocent service layer in Django. Some developers are enthusiastic and try to apply these techniques immediately, some are hesitant, full of doubts. The rest is strongly opposing, declaring openly this is an abomination. Then they say we already have excellent tools, like Django. Then they argue others don’t know about the advanced features of common tools. Then they call you Java developer in disguise. As a speaker and an author of the book Implementing the Clean Architecture , I have faced all the reactions from this spectrum. What two extremes fail to do, is to ask the right question – WHEN? When the Clean Architecture should be used?

Android Leftovers

New Manjaro Linux ARM 20.04 Released For Single Board Computers

With the successful shipment of Manjaro Linux ARM to Pinebook Pro, the Manjaro ARM team has released a new ARM v20.4 for single board computers. The latest version is a successor to the previous ARM 20.02 with major system changes. Manjaro ARM is an Arch and Manjaro Linux-based small distribution by a developer team from Manjaro Linux. The ARM edition is a dedicated operating system for devices using ARM architecture-based processors. Read more