Search Results for "python raspberry pi"
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Showing 66 open source projects for "python raspberry pi"
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1
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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Vosk Speech Recognition Toolkit
Offline speech recognition API for Android, iOS, Raspberry Pi
...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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DynamixelSDK
ROBOTIS Dynamixel SDK (Protocol1.0/2.0)
DYNAMIXEL SDK is a software development kit that provides DYNAMIXEL control functions using packet communication. The API of DYNAMIXEL SDK is designed for DYNAMIXEL actuators and DYNAMIXEL-based platforms. You need to be familiar with C/C++ programming language for right use of the software. This e-Manual provides comprehensive information on ROBOTIS products and applications. -
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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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5
RF24
OSI Layer 2 driver for nRF24L01 on Arduino & Raspberry Pi/Linux
Optimized high-speed driver for nRF24L01(+) 2.4GHz wireless transceiver. More compliant with the manufacturer specified operation of the chip, while allowing advanced users to work outside the recommended operation. Utilize the capabilities of the radio to their full potential via Arduino. More reliable, responsive, bug-free and feature-rich. Easy for beginners to use, with well-documented examples and features. Consumed with a public interface that's similar to other Arduino standard... -
6
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.... -
7
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. ... -
8
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. -
9
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). -
QA Wolf | We Write, Run and Maintain TestsQA Wolf is an AI-native service that delivers 80% automated E2E test coverage for web & mobile apps in weeks not years.
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10
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. ... -
11
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). ... -
12
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 . -
13
Midbar
Midbar is more than just an open source 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/ -
14
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, ... -
15
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:... -
16
Linux Air Combat
Combat Flight Simulator for LINUX. WW2. Network and VOIP. Open-source.
...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. ... -
17
IEC60870-5 101 tools library download
IEC 101 Server and Client Simulator Source code Library, Win, Linux
... * 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?... -
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DNP3 Protocol Code Win Linux download
DNP3 Protocol Source code Library Outstation and client Win Linux
...list=PL4tVfIsUhy1abOTxSed3l56FQux5Bn_gj Interoperability : http://www.freyrscada.com/docs/FreyrSCADA-DNP-Driver-Object-Variation-Support.pdf FreyrSCADA offering Static and Dynamic Libraries (DLL, LIB), DNP3 Source Code Library, Demo Kit (Raspberry Pi & BeagleBone Black) or Customer specific Hardware windows, Linux, QNX -
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DNP3 Protocol Win Linux test tool code
DNP3 Outstation and client simulator, Source code Library, win, Linux
...DNP3 Protocol RTU Outstation Server Simulator, Client Master Simulator, Source Code Library, Static and Dynamic Libraries for Windows, Linux, QNX - C, C++, C# .NET Demo Kit (Raspberry Pi & BeagleBone Black) or Customer specific Hardware. http://www.freyrscada.com/dnp3-ieee-1815.php Get a free DNP3 Protocol Development Bundle In the Development Bundle, We included DNP3 Outstation Server & Master Client Simulator, Windows & Linux SDK. DNP3 protocol Video Tutorial https://www.youtube.com/playlist?... -
20
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: ●... -
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NexTask
Custom, simple, timed audio and visual reminders using cron scheduling
NexTask is intended for the Raspberry Pi, though the source can be compiled of any Linux distribution. Using cron scheduling, the user can code reminders for their household. Currently, the display program has been built. The scheduling using cron must be set up manually. In the future, a GUI will be available to help build the scheduling scripts. -
22
KhadashPay
The KhadashPay project is an open-source payment system.
...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/ -
23
Udp2raw-tunnel
Turns UDP traffic into encrypted UDP/fakeTCP/ICMP 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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Urho3D
Urho3D Game engine
...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. ... -
25
LaMa
LaMa - A Localization and Mapping library
...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.
