Search Results for "vision"
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Showing 27 open source projects for "vision"
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GoogleTest
Google Testing and Mocking Framework
GoogleTest is Google's C++ mocking and test framework. It's used by many internal projects at Google, as well as a number of notable projects such as The Chromium projects, the OpenCV computer vision library, and the LLVM compiler. This GoogleTest project is actually a union of what used to be two separate projects: the old GoogleTest and GoogleMock, an extension of GoogleTest for writing and using C++ mock classes. Since they were so closely related, they were merged to create an even better GoogleTest. GoogleTest features an xUnit test framework, a rich set of assertions, user-defined assertions, death tests, among many others. ... -
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Posturr
A macOS app that blurs your screen when you slouch
Posturr is a macOS application that uses computer vision and machine learning — specifically Apple’s Vision framework — to monitor a user’s posture in real time and encourage healthier habits by visually responding when poor posture is detected. Running locally on the Mac, the app accesses the built-in camera to detect when you slouch or sit incorrectly, and when it recognizes sustained slouching, it applies a progressive visual blur to the screen as a subtle but effective cue to straighten up. ... -
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The Optimism Monorepo
Optimism is Ethereum, scaled
...We're particularly focused on creating a sustainable funding stream for the public goods and infrastructure upon which the ecosystem so heavily relies but has so far been unable to adequately reward. We'd love for you to check out The Optimistic Vision to understand more about why we do what we do. Optimism is a fast, stable, and scalable L2 blockchain built by Ethereum developers, for Ethereum developers. -
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superfluid protocol-monorepo
Superfluid protocol specification, implementations and development kit
...Create, modify or close streams in a single interface, even if the stream was started on other applications. The Superfluid Protocol is a framework that realizes the real-time finance vision where user accounts are connected together, and transactions can happen between user accounts instantaneously as a result. This repository implements the superfluid protocol as Ethereum contracts. It also contains a Javascript SDK for developing Web3 applications using the superfluid protocol. -
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5
FerretDB
A truly Open Source MongoDB alternative
...The core of our solution is a stateless proxy, which converts MongoDB protocol queries to SQL, and uses PostgreSQL as a database engine. This will be compatible with MongoDB drivers, and should work as a drop-in replacement to MongoDB in many cases. Our vision is to enable the open source community and developers to reap the benefits of easy-to-use document databases, while staying away from vendor lock-in, and fauxpen licenses. We are open source advocates at heart, and we release FerretDB with an open source license recognized by the Open Source Initiative. -
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Hyperf
A coroutine framework that focuses on hyperspeed and flexibility
...Although there are many new PHP frameworks, we still haven't found a framework that matches an elegant design with ultra-high performance, nor have we found a framework that paves the way for PHP microservices. With this vision in mind, we will continue to invest in the future of this framework, and you are welcome to join us in contributing to the open-source development of Hyperf. -
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tvm
Open deep learning compiler stack for cpu, gpu, etc.
Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet and more. ... -
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Flutter
Flutter makes it easy and fast to build beautiful apps for mobile
Flutter is Google’s open-source UI toolkit for building natively compiled, high-performance, visually expressive apps from a single codebase targeting mobile (iOS, Android), web, desktop (Windows, macOS, Linux), and embedded platforms. We want to enable designers to deliver their full creative vision without being forced to water it down due to limitations of the underlying framework. Flutter's layered architecture gives you control over every pixel on the screen and its powerful compositing capabilities let you overlay and animate graphics, video, text, and controls without limitation. Flutter includes a full set of widgets that deliver pixel-perfect experiences, whether you're building for iOS (Cupertino) or other platforms (Material), along with support for customizing or creating entirely new visual components. -
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pipeless
A computer vision framework to create and deploy apps in minutes
Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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TuiCss
Text-based user interface CSS library
...This kind of interface is very legible because the ultra-contrast colors used and because the reduced effects used on the components in the view. The base of this project is Turbo Vision Framework, but some other frameworks were also checked to introduce some features to TuiCss, like curses, ncurses, Newt, etc. Check the examples page in the wiki to stay on top of some creations, or check the getting started page to start using this library! To start to use TuiCss in your project, you can just download the repository content and import the files that are in the dist folder with the html directives. ... -
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ClassyVision
An end-to-end PyTorch framework for image and video classification
Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring distributed training, reproducible experiments, and flexible configuration tools. ... -
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Darknet
Convolutional Neural Networks
...With GPU acceleration via CUDA and OpenCV integration, it achieves high performance in image recognition tasks. Its simplicity, combined with powerful capabilities, has made Darknet one of the most influential projects in the computer vision community. -
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Advanced REST Client application
Advanced REST Client - Desktop application
...ARC was built as an open-source and free for everyone API tool out of a passion for giving the developer community tools they need. The application and related projects (like API Console) are created and distributed to our users for free. Our vision is that API tools are available for every developer and organization, regardless of their size, for free and without forced relationship. API tools are using open standards to communicate with other applications so developers can build integrations. Originally the application was created by the author for own convenience while developing APIs. ... -
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Model Search
Framework that implements AutoML algorithms
...Instead of hand-crafting models, you define a search space and objectives, then the system explores candidate architectures using controllers and population-based strategies. It supports multiple tasks (such as vision or text) by letting you express reusable building blocks—layers, cells, and topologies—that the search can recombine. Training, evaluation, and promotion of candidates are orchestrated automatically, with strong emphasis on reproducibility and fair comparisons. The framework logs trials, metrics, and artifacts so you can analyze what the search learned and why certain designs dominate. ... -
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VIDGUI
A simple, friendly framework for Free Pascal text mode GUI creation.
A framework for creating Free Pascal text mode GUIs, it aims to be simple and friendly. Not as powerful as Free Vision but much easier to use. -
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Gluon CV Toolkit
Gluon CV Toolkit
GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. -
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MMF
A modular framework for vision & language multimodal research
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. -
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GPUImage 2
Framework for GPU-accelerated video and image processing
...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. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS. -
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Accord.NET Framework
Machine learning, computer vision, statistics and computing for .NET
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. ... -
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Caffe
A fast open framework for deep learning
...Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and a great community of contributors that continue to make Caffe state-of-the-art in both code and models. It’s been used in numerous projects, from startup prototypes and academic research projects, to large scale industrial applications. -
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reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.
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QuickCrt
Object-oriented RAD framework for Turbo Pascal 7.0
Based upon my 20+ year old super fast QCrt text mode display driver, QuickCrt is an event driven object-oriented framework for rapid application development using Turbo Pascal 7.0 for DOS. Completely self contained, it uses no 3rd party or original Borland units (excluding the built-in System unit). It uses no Turbo Vision and is more like Delphi minus the drag and drop. It has support for String formatting, Custom text fonts, Themes, Keyboard mappings, Config files and Multiple languages baked into it. However, this initial version is more of a "Proof of Concept" and engine for PGME. Rather than an actual project. It has some serious limitations. ... -
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Small add-on library for Struts that minimizes coupling between pages. It is based on a new software architecture vision using pages as independent components.
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PACL - PHP Advanced Component Library is an advanced "java-style" PHP5 framework/class library for easy building robust web applications. The vision is to enable abstract and rapid development of sophisticated PHP applications in few lines of code.
