Search Results for "digital image processing projects"
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Showing 8 open source projects for "digital image processing projects"
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OpenAI Quickstart Node
Node.js example app from the OpenAI API quickstart tutorial
...The repository provides structured sample code for a variety of API endpoints, including chat completions, assistants, embeddings, fine-tuning, moderation, batch processing, and image generation. Each folder contains runnable scripts that demonstrate both basic usage and more advanced scenarios. By following the examples, developers can quickly understand how to authenticate with an API key, send requests, and handle responses within a Node.js environment. The project is a practical starting point for building AI-powered applications, serving as a foundation for experimentation and integration into larger projects. ... -
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OSHMI - Open Substation HMI
SCADA HMI for substations, IoT and automation applications
Now with IEC61850 support! This project combines existing open source projects and tools to create a very capable, mobile and cloud-friendly HMI system that can rival proprietary software. This approach makes it possible to join forces of each project (Chromium, SVG/HTML5, PHP, Lua, SQLite, Inkscape, Lib61850, OpenDNP3, Nginx, Vega, PostgreSQL, Grafana,…) to achieve a great set of open, evergreen, modular and customizable tools for building great HMIs for automation projects. This is not... -
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Frontend Park
Frontend projects and experiments
frontend-park is a collection of engaging frontend projects and experiments, showcasing various web technologies. It includes examples ranging from pose and face recognition using TensorFlow.js to WebRTC-based video calls and Three.js 3D animations. This repository serves as a playground for exploring and learning modern frontend development techniques. -
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glfx.js
An image effects library for JavaScript using WebGL
glfx.js is a JavaScript image-effects library that uses WebGL to apply real-time filters and transformations directly in the browser. It exposes a simple API where images are uploaded into GPU textures, processed with shader-based filters, and rendered to a WebGL canvas. Because the work is done on the GPU, many effects that would be too slow in pure JavaScript (like complex blurs, lens effects, or tilt-shift) can run interactively, even on large images. The library is structured around... -
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WePY
Framework that allows programs to support componentized development
A framework that allows small programs to support componentized development. One of the most popular small program framework. Component development, perfect solution to the problems of component isolation, component nesting, component communication, etc. Supports the use of third-party npm resources, automatically handles dependencies between npm resources, and is perfectly compatible with all npm resource packages without platform dependencies. Through polyfill, the mini program perfectly... -
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Dissapearing-People
Removing people from complex backgrounds in real time
Person removal from complex backgrounds over time. Removing people from complex backgrounds in real-time using TensorFlow.js in the web browser using JavaScript. This code attempts to learn over time the makeup of the background of a video such that I can attempt to remove any humans from the scene. This is all happening in real-time, in the browser, using TensorFlow.js. This is an experiment. It may not be perfect in all situations. Go ahead and try it right now in your own web browser.... -
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WebDjVuTextEd
Edit the OCR text layer of DjVu documents in a web browser
WebDjVuTextEd allows to edit the text layer of OCR'ed DjVu documents in a web browser. You can modify the structure (paragraphs, lines, words...) create, delete, edit text nodes, modify their container box by mouse, and run a spellchecker. The program does not directly read the DjVu files, it requires exported XML text data and images. When using without a webserver, you can open and save local files, but cannot take advantages of auto-save and spell checking. Note that current SVN... -
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CLEF
CIRMMT Live Electronics Framework
CLEF is a Max-based modular environment for composition and performance of live electronics, developed at CIRMMT/McGill University. CLEF follows structural design concepts and allows users to rapidly create digital signal processing topologies and control data taking advantage of the provided infrastructure and feature set. CLEF separates domain model from data access layer and user interface, relying on dedicated technologies: OpenSoundControl for data access, Max dictionaries for module description and pattr for storage management. ...
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