{"id":323,"date":"2021-03-15T00:56:48","date_gmt":"2021-03-15T00:56:48","guid":{"rendered":"http:\/\/mike-netz.biz\/?p=323"},"modified":"2025-10-26T17:44:39","modified_gmt":"2025-10-26T17:44:39","slug":"meine-projekte-in-github-2","status":"publish","type":"post","link":"https:\/\/mike-netz.biz\/?p=323","title":{"rendered":"Meine Projekte in Github"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"> Seit Anfang 2021 ver\u00f6ffentliche ich eigene Projekte in <a href=\"https:\/\/github.com\/embmike\">Github.<\/a><br><br><\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Embedded Software<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>State Monitoring With AI<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> Anhand von Schaltzust\u00e4nden wird der Systemzustand mittels KI erlernt und das Modell auf einem Mikrocontroller verwendet. <\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"http:\/\/mike-netz.biz\/wp-content\/uploads\/2021\/03\/0017_LED_Monitoring_Terminal.png\" alt=\"\" width=\"90%\" height=\"90%\"><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Github<\/em>: <a href=\"https:\/\/github.com\/embmike\/State-Monitoring-With-AI\">https:\/\/github.com\/embmike\/State-Monitoring-With-AI<\/a><\/li><li><em>Programmiersprache<\/em>: Python, C<\/li><li><em>Technologien<\/em>: Deep Neural Network, Embedded Software und Mikrocontroller<\/li><li><em>Bibliotheken und Werkzeuge<\/em>: Numpy, Matplotlib, Keras\/Tensorflow, IDE: Anaconda Python, IDE: STM32CubeIDE mit STM32CubeMX.AI, uC: STM32 Cortex M7<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">   <br><strong>LED Running Light<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Die Applikation steuert ein LED-Lauflicht und dimmt zwei LEDs mittels Joystick.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/github.com\/embmike\/LED-Running-Light\/raw\/master\/led_strip_is_runnig.gif\" alt=\"\" width=\"30%\" height=\"30%\"><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Github<\/em>: <a href=\"https:\/\/github.com\/embmike\/LED-Running-Light\">https:\/\/github.com\/embmike\/LED-Running-Light<\/a><\/li><li><em>Programmiersprache<\/em>: C, OOP mit C++14<\/li><li><em>Technologien<\/em>: Embedded Software und Mikrocontroller, SPI<\/li><li><em>Bibliotheken und Werkzeuge<\/em>: IDE: STM32CubeIDE, uC: STM32 Cortex M3, IC: 74HC595<\/li><\/ul>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">    <br><strong>Computer Vision<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Image Captioning<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> Zu Bildern werden automatisiert Bildunterschriften erstellt. Die Software erkennt Objekte und beschreibt sie textuell. <\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/github.com\/embmike\/Image-Captioning\/raw\/master\/images-with-caption\/a-herd-of-sheeps.PNG\" alt=\"\" width=\"621\" height=\"415\"\/><\/figure><\/div>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Github:<\/em> <a href=\"https:\/\/github.com\/embmike\/Image-Captioning\">https:\/\/github.com\/embmike\/Image-Captioning<\/a><\/li><li><em>Technologien:<\/em> Convolutional Neural Networks (CNN), Recurrent Reural Networks (RNN mit LSTM) <\/li><li><em>Programmiersprache:<\/em> Python <\/li><li><em>Bibliotheken und Werkzeuge:<\/em> Numpy, Matplotlib, google_trans_new, Pytorch, OpenCV<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">   <br><strong>Facial Keypoint Detection<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> In Bildern werden Gesichter erkannt und markiert. <\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/github.com\/embmike\/Facial-Keypoint-Detection\/raw\/master\/output_images\/cnn_persons.png\" alt=\"\" width=\"60%\" height=\"60%\"><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Github:<\/em>  <a href=\"https:\/\/github.com\/embmike\/Facial-Keypoint-Detection\">https:\/\/github.com\/embmike\/Facial-Keypoint-Detection<\/a><\/li><li><em>Technologien:<\/em>  Haar Cascade Classifiers, Convolutional Neural Networks (CNN)<\/li><li><em>Programmiersprache:<\/em> Python<\/li><li><em>Bibliotheken und Werkzeuge:<\/em> Numpy, Matplotlib, Pytorch, OpenCV <\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">    <br><strong>Real Time Object Detection With Yolo<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> In Kamera-Streams werden Objekte erkannt und jeweils mit einem Kasten eingerahmt und textuell beschrieben.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/github.com\/embmike\/Real-Time-Object-Detection-With-Yolo\/raw\/master\/images\/car_and_truck.PNG\" alt=\"\"\/><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li><em> Github:<\/em> <a href=\"https:\/\/github.com\/embmike\/Real-Time-Object-Detection-With-Yolo\">https:\/\/github.com\/embmike\/Real-Time-Object-Detection-With-Yolo<\/a><\/li><li><em>Technologien:<\/em>  Convolutional Neural Networks (CNN) , Yolo<\/li><li><em>Programmiersprache:<\/em> Python<\/li><li><em>Bibliotheken und Werkzeuge:<\/em> Numpy, Pytorch, Darknet, IDE: Anaconda Python, PyCharm, Google Colab<\/li><\/ul>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">    <br><strong>Robotics<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Kalman Filter<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Mittels Kalmanfilter wird aus einem verrauschten Geschwindigkeitssignal die aktuelle Position gesch\u00e4tzt.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/github.com\/embmike\/Kalman-Filter\/raw\/master\/images\/6_plotted_speed_and_posotion.PNG\" alt=\"\"\/><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Github<\/em>: <a href=\"https:\/\/github.com\/embmike\/Kalman-Filter\">https:\/\/github.com\/embmike\/Kalman-Filter<\/a><\/li><li><em>Programmiersprache:<\/em> Python, OOP mit C++17<\/li><li><em>Technologien:<\/em>  Kalmanfilter<\/li><li><em>Bibliotheken und Werkzeuge:<\/em> Numpy,  Matplotlib, Eigen, IDE: Anaconda Python, PyCharm, Visual Studio<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">    <br><strong>Landmark Detection And Tracking SLAM<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> In einer 2D-Welt erkundet ein Roboter seine Umgebung. <\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/github.com\/embmike\/Landmark-Detection-And-Tracking-SLAM\/raw\/master\/images\/constraints2D.png\" alt=\"\" width=\"50% height=\" 50%\"=\"\"><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Github:<\/em> <a href=\"https:\/\/github.com\/embmike\/Landmark-Detection-And-Tracking-SLAM\">https:\/\/github.com\/embmike\/Landmark-Detection-And-Tracking-SLAM<\/a><\/li><li><em>Technologien:<\/em>  Graph SLAM<\/li><li><em>Programmiersprache:<\/em> Python<\/li><li><em>Bibliotheken und Werkzeuge:<\/em> Numpy,  Matplotlib, Seaborn<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">    <br><strong>RobotND Go Chase It<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> Ein Roboter jagt in einer Simulation einen wei\u00dfen Ball. <\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"http:\/\/mike-netz.biz\/wp-content\/uploads\/2021\/11\/go_chase_it.png\" alt=\"\" width=\"60%\" height=\"60%\"><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Github:<\/em> <a href=\"https:\/\/github.com\/embmike\/RobotND-Go-Chase-It\">https:\/\/github.com\/embmike\/RobotND-Go-Chase-It<\/a><\/li><li><em>Technologien:<\/em>  Robot Operating System, Simulation<\/li><li><em>Programmiersprache:<\/em> OOP mit C++17<\/li><li><em>Bibliotheken und Werkzeuge:<\/em>  Robot Operating System (ROS) mit Catkin, CMake, Gazebo<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Seit Anfang 2021 ver\u00f6ffentliche ich eigene Projekte in Github. Embedded Software State Monitoring With AI Anhand von Schaltzust\u00e4nden wird der Systemzustand mittels KI erlernt und das Modell auf einem Mikrocontroller verwendet. Github: https:\/\/github.com\/embmike\/State-Monitoring-With-AI Programmiersprache: Python, C Technologien: Deep Neural Network,<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13,31],"tags":[24,25,26],"class_list":["post-323","post","type-post","status-publish","format-standard","hentry","category-kuenstliche-intelligenz","category-software-entwicklung","tag-computer-vision","tag-embedded-software","tag-robotics"],"_links":{"self":[{"href":"https:\/\/mike-netz.biz\/index.php?rest_route=\/wp\/v2\/posts\/323","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mike-netz.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mike-netz.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mike-netz.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mike-netz.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=323"}],"version-history":[{"count":16,"href":"https:\/\/mike-netz.biz\/index.php?rest_route=\/wp\/v2\/posts\/323\/revisions"}],"predecessor-version":[{"id":370,"href":"https:\/\/mike-netz.biz\/index.php?rest_route=\/wp\/v2\/posts\/323\/revisions\/370"}],"wp:attachment":[{"href":"https:\/\/mike-netz.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=323"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mike-netz.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=323"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mike-netz.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=323"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}