Open Source Mac Raspberry Pi Software - Page 7
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Raspberry Pi Software for Mac
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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging. Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.). -
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Financial Freedom
An open source alternative to Mint, YNAB, and more
Financial Freedom is an open source alternative to Mint, YNAB, and more. With open source at its core, you have the freedom to review exactly what's happening with your data and participate in the improvement of the product. Break free from third parties tracking every financial footstep you have. Run this application on any device or host that supports Docker -- if that's something like AWS, Digital Ocean, or even your own Raspberry Pi running in your basement. -
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FreeNIX RPI LE
FreeNix Raspberry PI Light Edition (noX)
Welcome to FreeNIX RPI LE (Raspberry Pi Light Edition) If you find bugs contact us on the forum https://www.freenixsecurity.net/forum/ or by email to freenixsecurity[at]riseup[dot]net Developer/s: davenull - dave-null[at]riseup[dot]net - https://www.freenixsecurity.net This is a Debian-Based (Debian Stretch) distro for Raspberry Pi. It's developed for Raspberry Pi 3 Model B and works on Raspberry Pi 2 Model B too. It starts without X Window System, just SSH. It starts in DHCP mode, you can find it with nmap or other software like this. It has Raspbian, Backports and Deb-Multimedia Repositories. Username: root Password: freenixsecurity -
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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS. -
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Homebridge Docker Image
HomeKit support for the impatient using Docker on x86_64
This Ubuntu Linux based Docker image allows you to run Nfarina's Homebridge on your home network which emulates the iOS HomeKit API. This is a multi-arch image and will run on x86_64, Raspberry Pi 2, 3, 4, Zero 2 W, or other Docker-enabled ARMv7/8 devices. Docker will automatically pull the correct image for your system. Homebridge requires full access to your local network to function correctly. This image will not work when using Docker for Mac or Docker for Windows. The parameters are split into two halves, separated by a colon, the left-hand side representing the host and the right container side. This image comes with the Homebridge UI pre-installed and is the easiest way to manage all aspects of Homebridge. Automated updates of the Homebridge Docker Image using tools such as Watchtower or similar are strongly discouraged and are done so at your own risk. You can update Homebridge, the Homebridge UI and the Node.js runtime from inside the container. -
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Homie for ESP8266
ESP8266 framework for Homie, a lightweight MQTT convention
An Arduino for ESP8266 / ESP32 implementation of Homie, an MQTT convention for the IoT. This branch of Homie for ESP8266 implements Homie 3.0.1 and adds support for ESP32. PlatformIO is an open-source ecosystem for IoT development with the cross-platform build system, library manager and full support for Espressif ESP8266 development. It works on the popular host OS, Mac OS X, Windows, Linux 32/64, Linux ARM (like Raspberry Pi, BeagleBone, CubieBoard). Available in the PlatformIO registry. Pretty straightforward sketches, a simple light for example (TODO: adapt to V3). Cute HTTP API/Web UI/App to remotely send the configuration to the device and get information about it. ESP8266 framework for Homie, a lightweight MQTT convention for the IoT. -
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Software to replace your analog cd changer in BMW cars. Prepared for Raspberry Pi, but can be run on any Linux platform with Mono installed.Makes use of I-Bus Gateway from OpenBM project.
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IPFS RPi
IPFS installer for the Raspberry Pi and other ARM-based devices
A bare-bones IPFS installer for the Raspberry Pi and other ARM-based devices. Log into your system with an administrator account, like the default OS user. For example, on the Raspberry Pi, most operating systems will default to the pi user, whereas on the Orange Pi that's going to be orangepi. You can find a lot of information on how to use IPFS on the official website. If you just want to test whether the installation was successful or not, you can list your node's peers. The IPFS daemon needs to be running in order for your IPFS node to appear online. The installer already takes care of running the daemon on system startup by default, but if you want to control that process manually, you can use the operating system's init system directly. -
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JPL Open Source Rover Project
A build-it-yourself, 6-wheel rover based on the rovers on Mars
The JPL Open Source Rover is an open source, build it yourself, scaled down version of the 6 wheel rover design that JPL uses to explore the surface of Mars. The Open Source Rover is designed almost entirely out of consumer off the shelf (COTS) parts. This project is intended to be a teaching and learning experience for those who want to get involved in mechanical engineering, software, electronics, or robotics. JPL is always looking to inspire the next generation of scientists, engineers, and roboticists to help us explore and learn about our solar system (and beyond!). We release the plans for this rover as a way to try and give budding enthusiasts a fun robotics project that will help teach them and get them involved in robotics sooner and at a lower cost. The specific attributes of the robot you build will depend slightly on the type of electronics and motors you buy for the system. -
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Kankin Linux
Distribuição baseada no Funtoo Linux para arquitetura ARM
O Kankin Linux é uma distribuição Stage4 do Funtoo Linux compilado para para uso em hardwares opensource com arquitetura ARM, * Preparada pra compilação distribuída * Sistema de ebuilds Portage, contendo todas as possibilidades de um sistema PORTS based, que só um sistema (Fu|Ge)ntoo faz por vc. :)))))))) * Primeira distribuição Linux Brasileira com releases para hardware opensource com processadores ARM * Suporte a redes DTN (Delay-Tolerant Networking) * Ferramentas da distribuição de software "Interplanetary Overlay Network" (ION-DNT - NASA) * Servidor X com suporte nativo a LXDE Manual de instalação para Raspberry Pi: http://a31.com.br/kankin-raspberrypi Manual de instalação para Cubieboard A20: http://a31.com.br/kankin-cubieboard-a20 Vídeo: http://youtu.be/CJ-P8O4 - Apoio da Fundação Raspberry Pi: http://a31.com.br/apoio-raspberrypi - Apoio do Funtoo Linux: http://a31.com.br/apoio-funtoo -
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KhadashPay
The KhadashPay project is an open-source payment system.
The KhadashPay project is my attempt to make a payment system from scratch. As for the customers of the store where the KhadashPay is deployed, Khadash pay doesn't keep any logs whatsoever and doesn't require a bit of your personal information to create an account. You can find the tutorials here: V2.0 (ESP32 Version): https://www.instructables.com/KhadashPay-V20/ V2.0 (Raspberry Pi Pico Version): https://www.instructables.com/KhadashPay-V20-Raspberry-Pi-Pico-Version/ V3.0 (STM32F401CCU6 Version): https://www.instructables.com/KhadashPay-V30-STM32F401CCU6-Version/ V3.0 (ESP32 Version): https://www.instructables.com/KhadashPay-V30/ V3.5 (ESP32 Version): https://www.instructables.com/KhadashPay-V35/ The version of the KhadashPay that stores the data in the cloud and allows you to operate several payment terminals is available on https://sourceforge.net/projects/khadashpay-firebase-edition/ -
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Kubernetes on Raspbian
Kubernetes on Raspbian (Raspberry Pi)
This repository holds the "original tutorial" for "Kubernetes on Raspbian" by Alex Ellis using kubeadm. It also has a list of reader clusters for your inspiration and Alex's newest work with k3s. -
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LEMP Raspberry Pi
Turn your Raspberry Pi into a Nginx HTTP server.
Change log: 07-16-2014 – After today’s changes RAM usage on first boot now down to <100mb. 07-16-2014 – Set most logs to write memory instead of SD card. (up to 10M or 1 day max) 07-16-2014 – Reduced system log level from “info” to “warning”. Reduce SD contention. 07-16-2014 – Uninstalled ntpd daemon. Replaced with systemd-timesyncd. 07-16-2014 – Enabled PHP’s mysql, mysqli and pdo extentions 07-16-2014 – Disabled innodb. 07-15-2014 – Switched PHP-FPM to “ondemand” to save memory. 07-15-2014 – Enabled gzip. Compress level set to 6 to save CPU. 07-14-2014 – Stripped down and optimized Arch OS even more. 07-14-2014 – Updated overclocking config /boot/config.txt Turn your Raspberry Pi into a Nginx HTTP server with Arch Linux ARM + Nginx + MariaDB(MySQL) + PHP. Preconfigured and packaged into a downloadable image. -
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LEMP Raspberry Pi 2
Turn your Raspberry Pi 2 into a Nginx HTTP server.
To do: – Update my.cnf for RPi2 (1G of memory) and enable InnoDB by default. – Fix broken PHP modules. (gd, imap and mcrypt) Changelog: 09-16-2015 – Fixed sshd root access and enabled autostart of sshd on boot. 09-12-2015 – Tested image on 3 different Raspberry Pi 2 boards. 09-10-2015 – Performed pacman -Syu 09-10-2015 – Updated to work with Raspberry Pi 2 (Arm7) Known Bugs: – When using the wifi-menu command to connect to the internet instead of a network cable. There’s the following output: “cfg80211: Calling CRDA to update world regulatory domain” …this can be safely ignored. Let me know if you find the fix in comments below. I’ve tried several. It does not affect the function of wifi. Turn your Raspberry Pi 2 into a Nginx HTTP server with Arch Linux ARM + Nginx + MariaDB(MySQL) + PHP. Preconfigured and packaged into a downloadable image. -
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LaMa
LaMa - A Localization and Mapping library
LaMa is a C++11 software library for robotic localization and mapping developed at the Intelligent Robotics and Systems (IRIS) Laboratory at the University of Aveiro - Portugal. It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching, and two SLAM solutions (an Online SLAM and a Particle Filter SLAM). The main feature is efficiency. Low computational effort and low memory usage whenever possible. The minimum viable computer to run our localization and SLAM solutions is a Raspberry Pi 3 Model B+. We provide a fast scan-matching approach to mobile robot localization supported by a continuous likelihood field. It can be used to provide accurate localization for robots equipped with a laser and a not-so-good odometry. Nevertheless, good odometry is always recommended. -
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Lego Raspberry Pi Case
Lego Raspberry Pi case
A Simple lego case designed to house a raspberry pi model b -
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Early version of Manjaro-Arm (experimental) with a Mate desktop for Raspberry Pi 2/3 is ready for testing. Just like Lxqt, this edition is based on Manjaro-Arm 16.08 Minimal. Except for standard GPU and sound drivers it contains a set of basic applications: DE - Mate 1.16 (Gtk2) Display Manager - Lxdm Internet - Firefox, x11vnc Multimedia - Kodi (works on click ;) ) Apps - Mate basic applications (Atril, Engrampa, Eol, Mate-terminal...) (Pamac and xscreensaver are not added intentionally - waste of system resources) Others: - GPU change from 64 MB to 192 MB - Auto-login to the system - Automatic installation of external devices - Optimization of themes, icons, widgets and fonts - Remote communication: SSH: sudo ssh manjaro@ip_adress VNC: sudo x11vnc --display :0 -auth guess
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MashBerry
Beer brewing with Raspberry Pi
MashBerry is a Raspberry PI based beer-brewing controller. It is designed to automate the mashing-process for the homebrewer. MashBerry can be operated via a Web-interface or via a Display and an IR-remote. The temperature is controlled using a PID-controller, the temperature-measurement is done with a PT1000 or a Dallas 18B20. For power-control an external Solid-State-Relay is used. -
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Max2Play
easiest way to configure video and audio player by Web interface
Max2Play offers a browser based administration interface for mini-computers like Raspberry Pi or Odroid on a Linux basis. With Max2Play, applications, so-called Max2Play extensions can be installed and administrated on your mini-computer without any Linux knowledge. The controls can be accessed via smartphone, tablet or computer, no connection of any mouse or keyboard to the mini-computer necessary. Max2Play is focusing on audio player features: Max2Play supports 3 different audio player, MPD, shairport and squeezelite. Max2Play supports Multi-room Audio and most relevant Raspberry Pi sound cards. Max2Play is available for Raspberry Pi, Raspberry Pi2, Odroid U2/U3, Odroid XU4, Odroid C1 -
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Midbar
Midbar is more than just an open source password vault!
Midbar is more than just a password vault! It's made to significantly increase the cost of unauthorized access to its your personal data. Some tutorials: ESP32 V4.0: https://www.instructables.com/Midbar-V40/ Raspberry Pi Pico V2.0: https://www.instructables.com/Midbar-Raspberry-Pi-Pico-Version-V20/ ESP32 V5.0: https://www.instructables.com/Midbar-V50/ STM32F401CCU6 + Arduino Uno Version V1.0: https://www.instructables.com/Midbar-STM32F401CCU6-Arduino-Uno-Version/ RTL8720DN + Arduino Uno V1.0: https://www.instructables.com/Midbar-RTL8720DN-Arduino-Uno-Version/ ESP8266 V2.0: https://www.instructables.com/Midbar-ESP8266-Version-V20/ STM32F407VET6 + Arduino Uno Version V1.0: https://www.instructables.com/Midbar-STM32F407VET6-Arduino-Uno-Version/ STM32F407VET6 Version V2.0: https://www.instructables.com/Midbar-STM32F407VET6-Version-V20/ ESP32 V6.0: https://www.instructables.com/Midbar-V60/ Teensy 4.1 V3.0: https://www.instructables.com/DIY-Hardware-Data-Vault-With-Teensy-41/ -
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MoodeNuxii
Moode Fork for Nuxii Case
Moode fork for Nuxii box. Only work with Raspberry Pi. Visit http://www.nuxii.fr to find our products.Added lirc with longpress detection, LEDs, Button control, rotary encoder support. Corrected bug of Digital Mixer distorsion when volume exceeds 81 (at least on Hifiberry cards). Updated kernel 4.1.16. Auto change mixer name when activate or deactivate I2S system. Added some webradios -
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OpenTK.GameWindowControls
2D Controls Library using OpenTK/GL (Linux)
This project's goal is making a rich, modern, and pure (not X11 dependent) OpenGL implementation of controls for 2D applications and HUDs for 3D games. Supporting the OpenTK project (C# + OpenGL). If we should keep actions/logic and UI separate, should we not also keep control appearance and UI (In/Out) separate? For example a "Button" is only a container, that has content, with some sort of border of a particular geometric shape (as are many controls), the only logic in a button is it that it responds to certain user events. I define it as such in OpenTK.GameWindowControls. Please note that this project is in early development. And I am currently looking for supporting developers. Especially people strong in OpenGL. See Wiki Page for more info. -
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Smart home automation webserver on OpenWRT router WR703N interfaced to Arduino, compared to Raspberry Pi and Ubuntu
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Overboot
OverlayFS toolkit composing system layers at boot time
The Overboot project uses manageable read-only layers to compose the system image at boot time. The general concept can be compared to Docker, but run earlier and on a system-wide basis. The two main components are obinit, written in C and run at boot time, and the extensible C++ obctl application that provides administration tools (CLI, API, management panel, etc.). Possible applications: - creating, testing, and distributing update packages, - creating and managing system snapshots without using virtual machines, - protecting the root partition from unwanted changes and damage, - speeding up services and applications running in the user space, - reducing the number of write cycles in flash drives, - versioning changes across the system, - quick rollback of changes or updates, - quick and easy device role switching, - debugging, - practice systems for students and trainers. See https://github.com/chodak166/overboot to learn more. -
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A software music synthesizer inspired by 8-bit Atari Softsynth. It can import, edit and play Atari Softsynth tunes on PC. You can write your music in BASIC-like language and create your instruments with graphic editor. Now available for Raspberry Pi 2
