Search Results for "ios"
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Showing 21 open source projects for "ios"
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sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter. -
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unidbg
Allows you to emulate an Android native library
...Support iOS objc and swift runtime. Support dynarmic fast backend. Support Apple M1 hypervisor, the fastest ARM64 backend. Support Linux KVM backend with Raspberry Pi B4. -
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Vosk Speech Recognition Toolkit
Offline speech recognition API for Android, iOS, Raspberry Pi
Vosk is an offline open source speech recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish. More to come. Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API,... -
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Porcupine
On-device wake word detection powered by deep learning
...Compact and computationally-efficient. It is perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, and BeagleBone. Android and iOS. Chrome, Safari, Firefox, and Edge. Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64). Scalable. It can detect multiple always-listening voice commands with no added runtime footprint. Self-service. Developers can train custom wake word models using Picovoice Console. Porcupine is the right product if you need to detect one or a few static (always-listening) voice commands. ... -
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openHAB Distribution
The binary distribution of openHAB
The open Home Automation Bus (openHAB) project aims to provide a universal integration platform for all things around home automation. It is a pure Java solution, fully based on OSGi. It is designed to be vendor-neutral as well as hardware/protocol-agnostic. openHAB brings together different bus systems, hardware devices, and interface protocols by dedicated bindings. These bindings send and receive commands and status updates on the openHAB event bus. This concept allows designing user... -
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level
Universal abstract-level database for Node.js and browsers
...At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android. -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
...Additional support libraries and examples are provided in separate repositories, links to these are provided below. The software currently builds under Linux (desktops variants through to Jetson & Raspberry Pi), Windows (VisualStudio, MinGW & Cygwin), Android, and macOS & iOS (using MoltenVk). -
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QxOrm library
C++ Qt ORM (Object Relational Mapping) and ODM library
...QxEntityEditor is multi-platform (available for Windows, Linux, and Mac OS X) and generates native code for all environments, desktop (Windows, Linux, Mac OS X), embedded and mobile (Android, iOS, Windows Phone, Raspberry Pi, etc.). A user manual (documentation) for QxEntityEditor application is available on QxOrm website. -
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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. -
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avbuild
ffmpeg build tool and prebuilt packages for all platforms
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 -
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Unreal Speccy portable
Portable ZX-Spectrum emulator based on UnrealSpeccy 0.37.3 by SMT
...Supported formats: sna, z80, szx, rzx, tap, tzx, csw, trd, scl, fdi, zip. Created to be ported to many platforms such as Windows/Linux/Mac/Symbian/Dingoo A320/Android/iOS/PSP/Raspberry Pi, ... -
12
Blynk C++ Library
Blynk library for embedded hardware
...With Blynk Library you can connect over 400 hardware models (including ESP8266, ESP32, NodeMCU, all Arduinos, Raspberry Pi, Particle, Texas Instruments, etc.)to the Blynk Cloud. With Blynk apps for iOS and Android apps you can easily drag-n-drop graphic interfaces for any DIY or commercial project. It's a pure WYSIWG experience, no coding on iOS or Android required. Hardware can connect to Blynk Cloud (open-source server) over the Internet using hardware connectivity available on your board (like ESP32), or with the use of various shields (Ethernet, WiFi, GSM, LTE, etc). ... -
13
TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
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Gideros Mobile
Cross platform SDK
Develop your app in Lua language and export it to most popular platforms, from desktop PC and Mac to mobile (Android, iOS, Windows Phone) and even Web. While Gideros is mainly dedicated to game development, it is also a good fit for professional apps. Code once, run everywhere! Intro documentation: http://docs.giderosmobile.com/ Reference documentation: http://docs.giderosmobile.com/reference/ Forum: http://giderosmobile.com/forum Full source code: https://github.com/gideros/gideros -
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RaspberryLight
Make your Raspberry Pi to a Wi-Fi controllable LED Light
Make your Raspberry Pi to a Wi-Fi controllable LED Light using LED stripes with WS 2811 controller. This software enables the raspberry to provide a web server interface (HTTP / Rest) for controlling the connected LED stripe. That project bases on the WiringPi lib, Indy for Lazarus and also on the Tinkerforge bindungs for Lazarus. The Stripe must be connected with the Tinkerforge Masterbrick and the LED-Stripe bricklet. WiringPi is used to control the GPIOs for some feature and Indy... -
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...To use VitOS on your Raspberry Pi 4 Model B (1/2/4/8GB version), just download the image file and write to the micro SD card with dd or other applications. Then plug in the micro SD card to your Raspberry Pi4. You can use iOS app and Android app named "VitOS Manager" to manage the VitOS. VitOS V1.0 supports USB DAC as audio output device. You can connect your USB DAC to the USB port on your RPi4 board. With VitOS Manager, you are able to install Roon Bridge to the VitOS. Then you can discover the RPi4 board with Roon apps and play music.
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17
PiCamera
An easy visualization tool for pictures running on Raspberry Pi
...The simple web interface can be used to take a look into the images, create videos or create time-lapse. Operating System Compatibility - Windows - Linux - macOS - Android - iOS Raspberry Pi Compatibility - Pi 2 Modell B - Pi 3 Modell B - Pi 3 Modell B+ - Pi 4 Modell B - also compatible with desktop pcs and notebooks -
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SDL2 binding for Go
SDL2 binding for Go
go-sdl2 is SDL2 wrapped for Go users. It enables interoperability between Go and the SDL2 library which is written in C. That means the original SDL2 installation is required for this to work. Some older versions of the distributions such as Ubuntu 13.10 may also be used but it may miss an optional package such as libsdl2-ttf-dev on Ubuntu 13.10's case which is available in Ubuntu 14.04. Note that the first build may take several minutes on machines that are not powerful such as Raspberry Pi. -
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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. ... -
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rSnap
Take pictures with a Raspberry Pi Camera Module from your iThing
That's pretty much it: tell the Raspberry Pi to take a picture and send it to you. -
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OpenRemote
Open Source for Internet of Things
An Open Community in the Home Automation and Domotics space. 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...
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