Showing 10 open source projects for "idl image processing"

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  • 1
    MCP Image Compression

    MCP Image Compression

    A high-performance image compression microservice based on MCP

    The MCP Image Compression server is a high-performance microservice based on the Model Context Protocol architecture. It focuses on providing fast and high-quality image compression capabilities to help developers optimize image resources for websites and applications, improving loading speed and user experience. ​
    Downloads: 0 This Week
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  • 2
    MagicMirror

    MagicMirror

    Instant AI Face Swap

    MagicMirror is an open-source desktop application for AI-powered face swapping and appearance experimentation. Users can drag and drop photos to preview different faces, hairstyles, and outfits without configuring a complex generation workflow. Processing is performed entirely offline, so source images do not need to leave the local computer. The project is designed to run on ordinary hardware without a dedicated GPU and keeps its installer and model footprint relatively small. It combines a web-style interface with Tauri and Python-based image processing components. MagicMirror supports macOS 13 or later and Windows 10 or later, and it is intended for personal creative and entertainment use rather than impersonation or deceptive content.
    Downloads: 1 This Week
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  • 3
    AI App Lab

    AI App Lab

    Implementing large models into scenario-based applications

    ...The project focuses on helping developers bridge the gap between AI models and practical business use cases by offering a structured environment for creating production-ready AI systems. It includes a high-level SDK called Arkitect, which provides workflows and tools for integrating models, plugins, and multimodal capabilities such as text, image, and voice processing. The repository also contains a large collection of prototype applications that demonstrate how AI can be applied to scenarios such as customer service, education, content generation, and mobile automation. These examples allow developers to quickly replicate and customize solutions for their own business needs.
    Downloads: 0 This Week
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  • 4
    React Native AI

    React Native AI

    Full stack framework for building cross-platform mobile AI apps

    React Native AI is a full-stack framework designed to simplify the development of AI-powered mobile applications using React Native. The project provides a ready-to-use infrastructure for building cross-platform apps that integrate large language models and other AI services. It supports real-time streaming responses from multiple AI providers and enables developers to build chat interfaces, AI-driven image generation tools, and natural language features within mobile apps. The framework...
    Downloads: 2 This Week
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  • 5
    Readest

    Readest

    Readest is a modern, feature-rich ebook reader

    Readest is a project meant to facilitate reading, studying, or consuming content by integrating reading tools with AI-powered assistance. Although the repository is not as widely documented or popular as some, the idea is that Readest supports features to help with reading comprehension — likely combining OCR / text retrieval, translation, note-taking, or summarization for reading materials (eBooks, articles, PDFs). The goal appears to be to let users feed in arbitrary reading material and...
    Downloads: 33 This Week
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  • 6
    Replicate Flux MCP

    Replicate Flux MCP

    MCP for Replicate Flux Model

    The Replicate Flux MCP is an advanced Model Context Protocol server that empowers AI assistants to generate high-quality images and vector graphics. It leverages Black Forest Labs' Flux Schnell model for raster images and Recraft's V3 SVG model for vector graphics via the Replicate API. ​
    Downloads: 1 This Week
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  • 7
    ChatGPT Exporter

    ChatGPT Exporter

    Export and Share your ChatGPT conversation history

    ChatGPT Exporter is a browser-based userscript tool designed to export ChatGPT conversations into multiple structured and shareable formats, enabling users to preserve, analyze, and reuse AI-generated content outside the ChatGPT interface. It integrates directly into the ChatGPT web environment, typically via tools like Tampermonkey, and adds export functionality without requiring backend services or complex setup. The tool supports a wide range of output formats including plain text, HTML,...
    Downloads: 5 This Week
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  • 8
    Spring AI Alibaba Examples

    Spring AI Alibaba Examples

    Spring AI Alibaba examples for building and testing AI apps

    ...It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem. Each module focuses on a specific use case such as chat, image processing, audio handling, graph workflows, and retrieval-augmented generation. The examples highlight how to integrate AI models, manage prompts, handle memory, and build multi-model or multi-agent workflows. Developers can explore individual project folders for detailed instructions and implementation guidance. Spring AI Alibaba Examples also supports experimentation through playground modules and encourages contributions to expand real-world AI use cases and improve development practices.
    Downloads: 0 This Week
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  • 9
    RuoYi AI

    RuoYi AI

    Enterprise AI platform for building, deploying, and managing apps

    RuoYi AI is a full-stack enterprise-oriented AI development platform designed to help developers rapidly build, deploy, and manage intelligent applications using modern large language models and AI ecosystems. It provides a unified framework for integrating multiple AI models from different providers, allowing teams to switch or combine models through a consistent interface without vendor lock-in. RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations...
    Downloads: 0 This Week
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  • 10
    face-api.js

    face-api.js

    JavaScript API for face detection and face recognition in the browser

    ...High-level chained methods let developers combine detection and analysis tasks in a compact workflow. Browser applications can draw boxes, labels, landmarks, and results on overlay canvases. Node.js support is available through image and canvas polyfills, with native TensorFlow bindings recommended for faster processing.
    Downloads: 8 This Week
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