Open Source C++ Raspberry Pi Software
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C++ Raspberry Pi Software
View 8552 business solutionsBrowse free open source C++ Raspberry Pi Software and projects below. Use the toggles on the left to filter open source C++ Raspberry Pi Software by OS, license, language, programming language, and project status.
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
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. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently. -
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Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full working server example is not bigger than the “Hello world”. Many projects/makefiles are ready to run to easily rebuild Snap7 in any platform without the need of be a C++ guru. Very detailed documentation provided. -
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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, reconfigurable vocabulary and speaker identification. Speech recognition bindings are implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others. Vosk supplies speech recognition for chatbots, smart home appliances, and virtual assistants. It can also create subtitles for movies, and transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphones to big clusters. -
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OpenAuto
AndroidAuto headunit emulator
OpenAuto is an AndroidAuto(tm) headunit emulator based on aasdk library and Qt libraries. Main goal is to run this application on the RaspberryPI 3 board computer smoothly. The OpenAuto Pro is the most advanced Raspberry Pi-based, custom head-unit solution ready to retrofit your vehicle. The main functionality of the OpenAuto Pro software is to bring Users access to modern head-unit features like Bluetooth Hands-Free Profile, music streaming, integrated media player, navigation via Android Auto, screen mirroring, rear camera support, and many more interesting options and possibilities. Moreover, OpenAuto Pro runs under regular Raspberry PI OS (Buster), therefore You can use all accessories and software dedicated to Raspberry Pi. OpenAuto Pro version provides features like brightness control, volume control, support of Kodi and integration with the Raspberry PI OS (Raspbian Desktop). -
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Udp2raw-tunnel
Turns UDP traffic into encrypted UDP/fakeTCP/ICMP traffic
A tunnel which turns UDP traffic into encrypted fakeTCP/UDP/ICMP traffic by using Raw Socket, helps you bypass UDP FireWalls(or unstable UDP environment). When used alone, Udp2raw tunnels only UDP traffic. Nevertheless, if you used udp2raw + any UDP-based VPN together, you can tunnel any traffic(include TCP/UDP/ICMP), currently, OpenVPN/L2TP/ShadowVPN and tinyfecVPN are confirmed to be supported. Linux host (including desktop Linux,Android phone/tablet,OpenWRT router,or Raspberry PI) with root account or cap_net_raw capability. ICMP/FakeTCP headers help you bypass UDP blocking, UDP QOS or improper UDP NAT behavior on some ISPs. In ICMP header mode,udp2raw works like an ICMP tunnel. UDP headers are also supported. In UDP header mode, it behaves just like a normal UDP tunnel, and you can just make use of the other features (such as encryption, anti-replay, or connection stalization). -
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NebiOS Alternative Mirror (Official)
An Ubuntu Linux-based OS that aims to end user.
NebiOS is Ubuntu-based secure, privacy-focused universal OS for daily life, creativity, gaming & more. Official mirror - use if main site has download issues. Main site: https://nebios.org ⚠️ DON'T DOWNLOAD FROM UNKNOWN SOURCES! 🛡️ Privacy: NebiOS has no telemetry, no background data services, no tracking daemons, and cannot send any personal data without user action. Full policy: nebisoftware.com/legal/privacy.html === 🚀 NebiOS X out now! ⚠️ Note on Virtual Machines: NebiOS X is optimized and designed for real hardware performance and native GPU acceleration. Virtualization platforms (VMware, VirtualBox, GNOME Boxes, etc.) may show degraded graphics or system performance. For accurate testing, please install NebiOS X on physical hardware. === System Requirements and informations about before installation can be found at https://nebios.org/download (select your version for it) -
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berryboot
Berryboot -- Boot menu / OS installer for ARM devices
Berryboot is a simple operating system installer and boot selection screen for ARM devices such as the Raspberry Pi and Cubieboard. It allows you to put multiple Linux distribution on a single SD card. -
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Raspberry Pi GCC Toolchains
CI maintained precompiled GCC ARM/ARM64 Toolchains for Raspberry Pi
This project provides latest Raspberry Pi hardware optimized GCC Cross Compiler & Native (ARM & ARM64) automated Build-Scripts and Precompiled standalone Toolchains binaries, that will save you tons of time & thereby helps you get quickly started with software development on Pi. -
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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. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page. -
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Blynk C++ Library
Blynk library for embedded hardware
Blynk is the most popular Internet of Things platform for connecting any hardware to the cloud, designing apps to control them, and managing your deployed products at scale. 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). Blynk Cloud is available for every user of Blynk for free. Direct connection over Bluetooth is also possible. Check the included examples on how to use different types of connections (transports) and explore Blynk features. -
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xsnow
Let it snow on your desktop
Finally, a working xsnow for Gnome, KDE, etc. Based on the original xsnow-1.42 created by Rick Jansen, after the xsnow-2019 conference in Antas (Spain) we now have available a xsnow that works on many desktop environments, even Raspian. By request of many beta-testers, a graphical front end has been created as well. For non-Unix users, there is https://sourceforge.net/projects/wsnow . -
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Linux Air Combat
Combat Flight Simulator for LINUX. WW2. Network and VOIP. Open-source.
WW2 Combat Flight Simulator. Free. Current Version: 9.83. This is now the world's leading open-source combat flight sim for LINUX. Linux Air Combat ("LAC") runs on almost any desktop LINUX system (even Steam Deck & Raspberry Pi) and generates smooth, high-performance flight. If it runs TOO fast on your hardware (framerates beyond 100 FPS), you should activate LAC's built-in FrameRate Limiter as documented here: https://askmisterwizard.com/2019/LinuxAirCombat/FrameRateLimiter.htm Clean, open source code provides an option to compile yourself, or use our precompiled executable AppImage to eliminate compiling on all popular X86 LINUX distros. Control flight with mouse and keyboard, console game controller, or joystick. Learn all about LAC from our primary, official Web Page: http://askmisterwizard.com/2019/LinuxAirCombat/LacOnlineDocs.htm Recent video clip: https://youtu.be/C77C-e8axWs -
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hyperion-project
An open source ambient light for many systems
Hyperion is an open source ambient light implementation controlled primarily by an Raspberry Pi. The main features of Hyperion are: 1. Low CPU load. For a led string of 50 leds the CPU usage will typically be below 2% on a non-overclocked Pi. 2. Json interface which allows easy integration into scripts. 3. A command line utility allows easy testing and configuration of the color transforms (Transformation settings are not preserved over a restart at the moment...). 4. Priority channels are not coupled to a specific led data provider which means that a provider can post led data and leave without the need to maintain a connection to Hyperion. This is ideal for a remote application (like our Android app). 5. HyperCon. A tool which helps generate a Hyperion configuration file. The tool will also remember your settings from the previous run. 6 Android remote control to set a static color. 7.Kodi-checker which checks the playing and screensaver status of Kodi -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. A WeightsProvider specialization can implement any type of loading, caching, and prefetching of the model parameters. -
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Urho3D
Urho3D Game engine
Urho3D is a game engine made by developers, for developers. The code is clean and well-commented. Urho3D is free and will always be free. There is no hidden royalties. It is IDE-agnostic and has no vendor lock-in. Urho3D runs on Windows, Linux, macOS/iOS/tvOS, Android, and even on Raspberry Pi. It also runs on your browsers. You need an installed Urho3D library for the desired target platform to proceed. Although the Urho3D build system also supports linking the Urho3D library directly from its build tree, this quick start section will not be discussing it here. Assuming you have been following along from the previous section, execute the following commands to create a new UrhoApp project, and then build it. The build artifacts from DBE can be found in the usual location as the conventional (non-dockerized) build environment. In fact the build artifacts from DBE should function and work as if they are built using the conventional way too. -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. 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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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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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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MySensors
MySensors library and examples
MySensors is an open-source hardware and software community focusing on do-it-yourself home automation and Internet of Things. We're here to help people who'd like to create original and affordable sensors and actuators based on components like Arduino, ESP8266, Raspberry Pi, NRF24L01+ and RFM69. Does it sound complicated? Don’t worry, we’ll explain everything. We provide easy-to-follow build instructions, ready-to-use code examples, and adaptable open-source hardware designs. All of this runs on the MySensors software library for secure communication that has been battle-tested with more than 20 of the leading home automation controllers on the market. So, join in, have fun and create your own connected home experience! We've combined the Arduino platform with a small radio transceiver into a fun, flexible world of low cost wireless sensors. -
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nCine
A cross-platform 2D game engine
nCine is a cross-platform 2D game engine that runs on PC (Linux, Windows, macOS), Android, Raspberry Pi, and the web (Emscripten). The project has been in active development since June 2011. Source code is released under the MIT license and is available on GitHub. Visit the donate page to discover different ways to support and sponsor the project. Join the Discord server and meet the community of developers, users and players. Indent with tabs (4 spaces) but use spaces for continuation line alignment. Pascal case for classes, enumerations, typedefs and constants. Put Doxygen brief descriptions in header files and additional documentation in implementation ones. Use Qt style for Doxygen detailed descriptions (/*! */) and end them with a period. -
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GoldBug - Encrypted Communications
Chat Messenger. E-Mail-Client. Websearch. Filetransfer.
GoldBug is a decentralized & secure communication suite that offers an integrated e-mail client, an instant messenger & a file transfer. Also included is an URL-RSS-DB & a p2p web search. Current vers. w/ McEliece Algorithm. GoldBug has been 2013 - 2023 ten years just another Graphical User Interface of the Spot-On Encryption Suite. Main GUI features: Minimal & colorful Interface with Tabs in the East. Microsoft & Qt MinGW deprecated Win32 & for Compiling: ● https://sourceforge.net/p/goldbug/wiki/compiling As Spot-On implemented the minimal GB-concept & Nuvola Icons, GoldBug has now been fully integrated into Spot-On Win64: Just choose Tabs at East & Mini-View in Options - w/ Nuvola Icons of course! Voilá! & Many Thanks, Pro-Files can be found archived at ● current source: https://github.com/textbrowser/spot-on ● EN Manual: https://www.amazon.com/dp/3749435065 ● DE: https://compendio.github.io/goldbug-manual-de/ ● Study: https://www.amazon.com/asin/dp/3750408971 -
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raspicam
C++ library for controlling Raspberry Pi Camera (with/without OpenCV)
This library allows to use the Raspberry Pi Camera. Main features: - Provides class RaspiCam for easy and full control of the camera - Provides class RaspiCam_Cv for easy control of the camera with OpenCV. - Easy compilation/installation using cmake. - No need to install development file of userland. Implementation is hidden. - Many examples -
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IEC60870-5 101 tools library download
IEC 101 Server and Client Simulator Source code Library, Win, Linux
v21,06.012 IEC101 RTU Server Simulator, IEC101 Client Master Simulator, Static and Dynamic Libraries, Source Code Library. Driver for Windows, POSIX Linux, ARM , PowerPC, QNX & more * Make your RTU, protocol converter, Gateway, HMI, Data concentrator compatible with iec 101. * Download Free Evaluation Kit - IEC 60870-5-101 Development Bundle. * In the Bundle included IEC 101 Server & Client Simulator, Windows and Linux SDK, C# projects, Doxygen , Raspberry Pi, BeagleBone Demo library. http://www.freyrscada.com/iec-60870-5-101.php http://www.freyrscada.com/iec-60870-5-101-Server-Simulator.php http://www.freyrscada.com/iec-60870-5-101-Client-Simulator.php http://freyrscada.com/iec-60870-5-101-Windows-Software-Development-Kit(SDK).php http://freyrscada.com/iec-60870-5-101-Linux-Software-Development-Kit(SDK).php video tutorial: https://www.youtube.com/playlist?list=PL4tVfIsUhy1bsVPrJVW4nknHozdfcWE5u -
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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/
