Search Results for "recognition"
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Showing 13 open source projects for "recognition"
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pixelmatch
The smallest, simplest JavaScript pixel-level image comparison library
The smallest, simplest and fastest JavaScript pixel-level image comparison library, originally created to compare screenshots in tests. Features accurate anti-aliased pixels detection and perceptual color difference metrics. Inspired by Resemble.js and Blink-diff. Unlike these libraries, pixelmatch is around 150 lines of code, has no dependencies, and works on raw typed arrays of image data, so it's blazing fast and can be used in any environment (Node or browsers). Compares two images,... -
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Jimp
An image processing library written entirely in JavaScript for Node
An image processing library for Node written entirely in JavaScript, with zero native dependencies. If you're using this library with TypeScript the method of importing slightly differs from JavaScript. Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't... -
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Venom
Venom is the most complete javascript library for Whatsapp
Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp. It's a high-performance alternative API to whatzapp, you can send, text messages, files, images, videos and more. Remember, the API was developed on a platform called RESTful Web services, providing interoperability between computer systems on the Internet. ... -
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OmegaT - multiplatform CAT tool
The free computer aided translation (CAT) tool for professionals
OmegaT is a free and open source multiplatform Computer Assisted Translation tool with fuzzy matching, translation memory, keyword search, glossaries, and translation leveraging into updated projects. -
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ARC-AGI
The Abstraction and Reasoning Corpus
...The dataset is structured as grid-based puzzles, where each task requires understanding transformations such as symmetry, counting, or spatial manipulation. Unlike traditional machine learning benchmarks, ARC emphasizes generalization and reasoning over statistical pattern recognition, making it particularly challenging for current AI systems. The repository also includes a browser-based interface that allows humans to attempt solving the tasks manually, providing a baseline for comparison. -
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img2css
Convert any image to pure CSS. Recreates images using only box-shadows
This is a tool that can convert any image into a pure CSS image. I also made a per-pixel animation experiment using the box-shadow idea, see morphin. Pure CSS, this output was created by resizing and setting each pixel as a box shadow of a single-pixel div, so no IMG tag or background image is needed. This can result in huge outputs, and the use of this output is not recommended for production unless there is no other option. Base64, the entire image file is embedded inside the <img> tag... -
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AR.js
Efficient Augmented Reality for the Web
AR.js is a lightweight JavaScript library for delivering augmented reality experiences on the web. It supports image tracking, location-based AR, and marker-based interactions—all without requiring native applications or plugins. AR.js was among those great projects, with great technologies, often disruptive ones, that eventually were lacking from documentation and support. We tried to carry on the author's terrific work by maintaining this project, handling new versions, issues, pull... -
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Face-Detection-JavaScript
Small browser-based computer vision demo
Face-Detection-JavaScript is a small browser-based computer vision demo that uses JavaScript and face-api.js to analyze live webcam video. It loads face detection, facial landmark, face recognition, and facial expression models from a local models folder. Once the webcam stream starts, the app creates a canvas overlay and draws detection results directly over the video feed. It can identify face boxes, map facial landmark points, and display detected expressions in near real time. The project is simple enough for beginners to study, but it still demonstrates the core pieces needed for webcam access, model loading, detection loops, result resizing, and canvas rendering. ... -
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clmtrackr
Javascript library for precise tracking of facial features
clmtrackr is a javascript library for fitting facial models to faces in videos or images. It currently is an implementation of constrained local models fitted by regularized landmark mean-shift, as described in Jason M. Saragih's paper. clmtrackr tracks a face and outputs the coordinate positions of the face model as an array. The library provides some generic face models that were trained on the MUCT database and some additional self-annotated images. Check out clmtools for building your... -
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CSSgram
CSS library for Instagram filters
Simply put, CSSgram is a library for editing your images with Instagram-like filters directly using CSS. What we're doing is adding filters to the images, as well as applying color and/or gradient overlays via various blending techniques to mimic filter effects. This means less manual image processing and more fun filter effects on the web! We are using pseudo-elements (i.e. :before and :after) to create the filter effects, so you must apply these filters on a containing element (i.e. not a... -
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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PHP5 RAD and object oriented PHP framework for building event-driven stateful web applications. Based on Zend Framework, features tableless HTML, multiple databases, accesskey support, auto data type recognition, transparent AJAX, UTF-8, i18n/l10n.
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facial-recognition-authentication
Enhanced WordPress login security with email, password, and facial rec
This WordPress plugin adds an additional layer of security by requiring users to authenticate using their email, password, and facial recognition before accessing the login page. Ideal for high-security websites and those wanting to enhance user authentication beyond traditional login methods. With this plugin, you ensure that only authorized users can enter your WordPress site, minimizing the risk of unauthorized access. Protect your site and data with this triple-layer authentication system.
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