<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.8.5">Jekyll</generator><link href="https://hyperrixel.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://hyperrixel.github.io/" rel="alternate" type="text/html" /><updated>2020-03-17T11:32:15+00:00</updated><id>https://hyperrixel.github.io/feed.xml</id><title type="html">hyperrixel.github.io</title><subtitle>home for rixel project sources</subtitle><author><name>rixel</name></author><entry><title type="html">History of covid-19 disease as dataset</title><link href="https://hyperrixel.github.io/repository/covid19.html" rel="alternate" type="text/html" title="History of covid-19 disease as dataset" /><published>2020-03-16T00:00:00+00:00</published><updated>2020-03-16T00:00:00+00:00</updated><id>https://hyperrixel.github.io/repository/covid19</id><content type="html" xml:base="https://hyperrixel.github.io/repository/covid19.html">&lt;p&gt;As a data scientist at rixel we feel the importance of clear knowledge of a specific dataset. Therefore we decided to make a clean historical overview about covid-19, coronavirus disease. Besides the raw data, we made a simple visualization to help understand how the virus spreads over the globe.&lt;/p&gt;

&lt;p&gt;You can find the visualization &lt;a href=&quot;https://www.hyperrixel.com/covid19map/&quot;&gt;here&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;&lt;img src=&quot;https://www.hyperrixel.com/covid19map/screenshot.jpg&quot; alt=&quot;screenshot&quot; /&gt;&lt;/p&gt;

&lt;p&gt;Developers might “play” with the data from our &lt;a href=&quot;https://github.com/hyperrixel/covid19map-dataset&quot;&gt;repository&lt;/a&gt;.&lt;/p&gt;</content><author><name>rixel</name></author><category term="repository" /><summary type="html">As a data scientist at rixel we feel the importance of clear knowledge of a specific dataset. Therefore we decided to make a clean historical overview about covid-19, coronavirus disease. Besides the raw data, we made a simple visualization to help understand how the virus spreads over the globe.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/covid19.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/covid19.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Find and train the optimum visual classifier</title><link href="https://hyperrixel.github.io/project/visualsprinkler.html" rel="alternate" type="text/html" title="Find and train the optimum visual classifier" /><published>2020-02-27T00:00:00+00:00</published><updated>2020-02-27T00:00:00+00:00</updated><id>https://hyperrixel.github.io/project/visualsprinkler</id><content type="html" xml:base="https://hyperrixel.github.io/project/visualsprinkler.html">&lt;h1 id=&quot;find-and-train-the-optimum-visual-classifier&quot;&gt;Find and train the optimum visual classifier&lt;/h1&gt;

&lt;p&gt;When performance matters artificial intelligence developers should make experiments and even more experiments. &lt;em&gt;Python&lt;/em&gt;, &lt;em&gt;PyTorch&lt;/em&gt; and &lt;em&gt;TorchVision&lt;/em&gt; are ideal frameworks to observe how pretrained models perform on various visual tasks. However those frameworks are very handy to do all of this developers need to code a lot to implement every pretrained model, data loaders, data preprocessing, train loop and evaluation loop. Therefore we made a complex script which put all that together for every developer.&lt;/p&gt;

&lt;p&gt;Related repository coming soon.&lt;/p&gt;</content><author><name>rixel</name></author><category term="project" /><summary type="html">Find and train the optimum visual classifier</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/vs_1.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/vs_1.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">NewsCenter - informative playlist for you</title><link href="https://hyperrixel.github.io/project/newscenter.html" rel="alternate" type="text/html" title="NewsCenter - informative playlist for you" /><published>2020-02-26T00:00:00+00:00</published><updated>2020-02-26T00:00:00+00:00</updated><id>https://hyperrixel.github.io/project/newscenter</id><content type="html" xml:base="https://hyperrixel.github.io/project/newscenter.html">&lt;h1 id=&quot;newscenter---informative-playlist-for-you&quot;&gt;NewsCenter - informative playlist for you&lt;/h1&gt;

&lt;p&gt;If you used to consume information daily it’s definitely something interesting for you. NewsCenter is just a news player application. It offers a simple UI in news television style and it can be widely configured with rule files. Rules are simple and well documented. You can connect the application with your favorite speech synthesizer and enjoy the best news playlist you had ever heard.&lt;/p&gt;

&lt;p&gt;Related repository coming soon.&lt;/p&gt;</content><author><name>rixel</name></author><category term="project" /><summary type="html">NewsCenter - informative playlist for you</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/newscenter.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/newscenter.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">rixelAuto - chance for cars to get smarter</title><link href="https://hyperrixel.github.io/future/rixelauto.html" rel="alternate" type="text/html" title="rixelAuto - chance for cars to get smarter" /><published>2020-02-25T00:00:00+00:00</published><updated>2020-02-25T00:00:00+00:00</updated><id>https://hyperrixel.github.io/future/rixelauto</id><content type="html" xml:base="https://hyperrixel.github.io/future/rixelauto.html">&lt;h1 id=&quot;rixelauto---chance-for-cars-to-get-smarter&quot;&gt;rixelAuto - chance for cars to get smarter&lt;/h1&gt;

&lt;p&gt;However, smart onboard accessories in car industry doesn’t have to high costs they aren’t widely accessible in vehicles especially if we keep in mind that cars are supporting it since 2015. Yet today Android auto is available in 36 countries. Surprisingly not all EU countries are on that list. There are lot of vehicles out there which could act and serve much smarter. Therefore we develop rixelAuto.&lt;/p&gt;

&lt;p&gt;Instead of just mirroring your phone to the car’s device our software offer much more. Aside of the common functions like navigation, media playing and internet services we offer security services, a full office, games and artificial intelligence based functions as well. With some accessories our device offers visual detection of traffic signals, traffic lights, pedestrians, bicycles and motorcycles. The software helps you with prediction of other participants in the traffic. It warns you in case of too small distances or potential collision and it observes the driver’s emotions and actions to predict tiredness and other conditions that affects to the driver’s driving capability.&lt;/p&gt;

&lt;p&gt;Related repositories and more informations coming soon.&lt;/p&gt;</content><author><name>rixel</name></author><category term="future" /><summary type="html">rixelAuto - chance for cars to get smarter</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/rixelauto.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/rixelauto.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">SmartMower - AI powered string trimmer</title><link href="https://hyperrixel.github.io/project/smartmower.html" rel="alternate" type="text/html" title="SmartMower - AI powered string trimmer" /><published>2020-02-24T00:00:00+00:00</published><updated>2020-02-24T00:00:00+00:00</updated><id>https://hyperrixel.github.io/project/smartmower</id><content type="html" xml:base="https://hyperrixel.github.io/project/smartmower.html">&lt;h1 id=&quot;smartmower---ai-powered-string-trimmer&quot;&gt;SmartMower - AI powered string trimmer&lt;/h1&gt;

&lt;p&gt;SmartMower is a project that targets the construction of a fully autonomous string trimmer device to apply it everywhere where string trimming is usually needed. Everywhere means from middle size gardens to large fields and from urban parks to industrial zones as well. Therefore the flexibility and performance are essential musts.&lt;/p&gt;

&lt;p&gt;However string trimming doesn’t seem to be one of the hardest human activities to write a software framework for that special task is really though. The framework should perform several tasks at the same time continuously:&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;manage communication with all devices&lt;/li&gt;
  &lt;li&gt;calculate and store position&lt;/li&gt;
  &lt;li&gt;sense environment&lt;/li&gt;
  &lt;li&gt;calculate space to go and to trim&lt;/li&gt;
  &lt;li&gt;drive the device according to calculations&lt;/li&gt;
  &lt;li&gt;avoid accidents&lt;/li&gt;
  &lt;li&gt;validate work efficiency&lt;/li&gt;
  &lt;li&gt;validate condition of tools&lt;/li&gt;
  &lt;li&gt;communicate with the user via local terminal (touch screen)&lt;/li&gt;
  &lt;li&gt;listen and communicate via wifi&lt;/li&gt;
  &lt;li&gt;communicate with software and/or maintenance center&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;To perform all those task we have to use as cheap hardware as possible to be able to offer a low market price for our potential buyers. Therefor we decided to use micro computers Raspberry Pi mark 3 and 4 and NVidia Jetson Nano. Jetsons are responsible for visual and artificial intelligence tasks in general, Raspberries are everything else.&lt;/p&gt;

&lt;p&gt;Related repositories and more informations coming soon.&lt;/p&gt;</content><author><name>rixel</name></author><category term="project" /><summary type="html">SmartMower - AI powered string trimmer</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/smartmower.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/smartmower.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Tesseract-OCR in Python, faster!</title><link href="https://hyperrixel.github.io/repository/module/tessy.html" rel="alternate" type="text/html" title="Tesseract-OCR in Python, faster!" /><published>2020-02-23T00:00:00+00:00</published><updated>2020-02-23T00:00:00+00:00</updated><id>https://hyperrixel.github.io/repository/module/tessy</id><content type="html" xml:base="https://hyperrixel.github.io/repository/module/tessy.html">&lt;h1 id=&quot;tesseract-ocr-in-python-faster&quot;&gt;Tesseract-OCR in Python, faster!&lt;/h1&gt;

&lt;p&gt;The repository tessy is the home of the Python module Tessy. This module allows faster access to Tesseract-OCR from Python scripts.&lt;/p&gt;

&lt;p&gt;This module is always faster than common Tesseract-OCR wrappers like pytesseract because it uses direct access to Tesseract-OCR’s core library instead of calling its executable.&lt;/p&gt;

&lt;p&gt;The specification of the connection to the library is based on the &lt;a href=&quot;from here: https://github.com/UB-Mannheim/tesseract/blob/master/src/api/capi.cpp&quot;&gt;source code&lt;/a&gt;.&lt;/p&gt;</content><author><name>rixel</name></author><category term="repository" /><category term="module" /><summary type="html">Tesseract-OCR in Python, faster!</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/tessy.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/tessy.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Ultrasonic sensor never tested easier</title><link href="https://hyperrixel.github.io/repository/ultrasonic.html" rel="alternate" type="text/html" title="Ultrasonic sensor never tested easier" /><published>2020-02-22T00:00:00+00:00</published><updated>2020-02-22T00:00:00+00:00</updated><id>https://hyperrixel.github.io/repository/ultrasonic</id><content type="html" xml:base="https://hyperrixel.github.io/repository/ultrasonic.html">&lt;h1 id=&quot;ultrasonic-sensor-never-tested-easier&quot;&gt;Ultrasonic sensor never tested easier&lt;/h1&gt;

&lt;p&gt;Sensors have important role in the world of IoT. They help computers to sense that world. Before we use a sensor in a real-world machine it’s a must to know every parameters of it. Some important attributes are mentioned in guides and data sheets but to get to know the real-world behavior worths some testing or even some fine tuning as well.&lt;/p&gt;

&lt;p&gt;Therefore we publish our &lt;a href=&quot;https://github.com/hyperrixel/ultrasonic_sensor_test&quot;&gt;repository&lt;/a&gt; which includes a small script that helps to be more familiar with the strength and limits of you ultrasonic distance sensor.&lt;/p&gt;</content><author><name>rixel</name></author><category term="repository" /><summary type="html">Ultrasonic sensor never tested easier</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/ultrasonic.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/ultrasonic.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Test your PWM from command line</title><link href="https://hyperrixel.github.io/repository/pwm.html" rel="alternate" type="text/html" title="Test your PWM from command line" /><published>2020-02-21T00:00:00+00:00</published><updated>2020-02-21T00:00:00+00:00</updated><id>https://hyperrixel.github.io/repository/pwm</id><content type="html" xml:base="https://hyperrixel.github.io/repository/pwm.html">&lt;h1 id=&quot;test-your-pwm-from-command-line&quot;&gt;Test your PWM from command line&lt;/h1&gt;

&lt;p&gt;If you’re interested in any level of robotics as a software developer or you just want to jump in topic for a while getting to know how PWM works is essential. Therefore we built a small script that makes testing the behavior of a PWM controller very easy and straightforward because you can give commands to the controller runtime.&lt;/p&gt;

&lt;p&gt;The repository is available &lt;a href=&quot;https://github.com/hyperrixel/pwm_test&quot;&gt;here&lt;/a&gt;.&lt;/p&gt;</content><author><name>rixel</name></author><category term="repository" /><summary type="html">Test your PWM from command line</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/pwm.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/pwm.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Therm</title><link href="https://hyperrixel.github.io/repository/therm.html" rel="alternate" type="text/html" title="Therm" /><published>2020-02-20T00:00:00+00:00</published><updated>2020-02-20T00:00:00+00:00</updated><id>https://hyperrixel.github.io/repository/therm</id><content type="html" xml:base="https://hyperrixel.github.io/repository/therm.html">&lt;h1 id=&quot;therm&quot;&gt;Therm&lt;/h1&gt;

&lt;p&gt;Therm is a short python script to show thermal zone temperatures in human readable format on linux. Since almost everything is a file on Unix systems from a certain view it’s just a file reader tool. However it has a very straightforward advantage; you don’t have to read it.&lt;/p&gt;

&lt;p&gt;The script itself doesn’t accepts any parameters at the moment but we’ll might change this behavior in the future. Therm uses python 3 but is equipped with shebang to be able to work for you right after you download it.&lt;/p&gt;

&lt;p&gt;You can find the repository &lt;a href=&quot;https://github.com/hyperrixel/therm&quot;&gt;here&lt;/a&gt;.&lt;/p&gt;</content><author><name>rixel</name></author><category term="repository" /><summary type="html">Therm</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://hyperrixel.github.io/therm.jpg" /><media:content medium="image" url="https://hyperrixel.github.io/therm.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry></feed>