Search Results for "raspberry image"

...The easiest way to flash the Homebridge Raspberry Pi Image to your SD card is to use the Raspberry Pi Imager. Raspberry Pi Imager will now download and flash the latest version of the Homebridge Raspberry Pi Image to your SD card, this may take several minutes depending on the speed of your internet connection and SD card. The Homebridge UI web interface will allow you to install, remove and update plugins, and modify the Homebridge config.json and manage other aspects of your Homebridge service.

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.

ezBookkeeping is a lightweight, self-hosted personal finance app with a user-friendly interface and powerful bookkeeping features. It helps you record daily transactions, import data from various sources, and quickly search and filter your bills. You can analyze historical data using built-in charts or perform custom queries with your own chart dimensions to better understand spending patterns and financial trends. ezBookkeeping is easy to deploy, and you can start it with just one single...

...The iHome software system comes fully configured as a SD Card image file for Raspberry Pi Zero wifi Plug and Play capability complete with MBLogic, Node-RED and MQTT already fully installed and ready to go. See wiki instructions to burn the SD Card image file, insert into your RPi Zero and Plug and Play. The iHome is an Internet of Things (IOT) demo project for the ionware ionC1 hardware and the software system and is a complete SCADA platform c/w Modbus TCP Servers and Modbus RS485 serial clients for scalable building automation projects. ...

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. ...

This is an SD card image with RVM, Ruby, and SiriProxy pre-installed. Release notices: https://sourceforge.net/p/siriproxyrpi/news/ Instructions: https://sourceforge.net/p/siriproxyrpi/wiki/Home/