Search Results for "support"

whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples....

Support Apple M1 hypervisor, the fastest ARM64 backend. Support Linux KVM backend with Raspberry Pi B4.

This project provides a free Raspbian-based Raspberry Pi image with Homebridge and Homebridge Config UI X pre-installed. This image also provides a command called hb-config which helps you keep Node.js up-to-date, perform maintenance on your Homebridge server, and install additional optional software such as Pi Hole and deCONZ. The Homebridge service is installed using the method described in the Raspberry Pi Installation Guide on the Homebridge project wiki. The easiest way to flash the...

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...

iOS, android, raspberry pi, windows store, windows desktop, linux, macOS etc. Multiple toolchains support, include gcc, clang, vs2013, vs2015, vs2017. Hardware accelerated decoders and encoders support. Source code: https://github.com/wang-bin/avbuild

...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. ...

...We believe an Open Source approach can revolutionize the way people create, install, and maintain software in the industry. Our panel technology integrates with your favorite protocol and runtime hardware through Open Source software. We open up the front-end and support a unified panel and visual programming model. An installer can pick and choose hardware products from different vendors and still present one panel UI to the user. A proprietary hardware vendor can build modern panel support and integrate with existing vendors. Whether you are a DIY aficionado, a high-end installer, a hardware vendor or integrator, OpenRemote has something for you. ...