Search Results for "state machine c"
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Showing 12 open source projects for "state machine c"
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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. ... -
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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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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... -
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Raspberry_Quemu_forWindows
This is QEMU virtual machine with Raspbian OS for students KNUCA
Це віртуальна машина QEMU із зібраною операційною системою Raspbian для емуляції Raspberry Pi на Windows 7, 8, 10. Використовується для занять з робототехніки в Київському національному університеті будівництва і архітектури. pi/raspberry -
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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... -
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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. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. ... -
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haikuVM
A Java VM for ARDUINO and other micros using the leJOS runtime.
HaikuVM has been started for hobbyists who develop applications for ARDUINO to open the world of JAVA and leJOS. Yes, you can program an ARDUINO with JAVA! HaikuVM is so small that it even runs on an atmega8 (and the ASURO robot). And yes, you can program an ASURO robot with JAVA! And since version 1.4.0 the RCX lego brick. -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. ... -
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OpenRTDynamics
A framework for implementing real-time control systems
- - - T H I S P R O J E C T M O V E D T O G I T H U B - - - A framework for the implementation of advanced real-time control systems which uses signal/block-based schematics (like Simulink) extended by several features like state machines and online-exchangeable sub-simulations. Besides, this framework properly handles multiple threads, their communication, allows to synchronise control systems to external events (e.g. variable timers or incoming network packages) and provides many other nice features. ... -
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10
RPi-64
computer simulation for my raspberry pi
Pi64 is not an emulator, it just mimics the 80's classic 8bit computers with SDL based graphics and RtAudio based sound. The fullscreen editor for shell and the built-in program editor help you create your own programs and games. Programming language is LUA, but Pi64 is open for any library plugins written in your favourite language. Source was written in pure C, so should compile on Windows, Mac OS X and Linux without issues. -
11
MashBerry
Beer brewing with Raspberry Pi
MashBerry is a Raspberry PI based beer-brewing controller. It is designed to automate the mashing-process for the homebrewer. MashBerry can be operated via a Web-interface or via a Display and an IR-remote. The temperature is controlled using a PID-controller, the temperature-measurement is done with a PT1000 or a Dallas 18B20. For power-control an external Solid-State-Relay is used. -
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Ham Radio Software Based Repeater Controller Daemon. Tested under Linux but, according to documentation, should compile and run under several Unices, to include, Darwin, OS X, Linux, BSD(Free,Net,Open) and Solaris (too incl OpenSolaris) on various platforms to include i386, X86-64 (amd64), ARMv6, ARMv7.1, and Raspberry Pi. !!Not designed for Microsoft Windows based computers!!
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