Search Results for "idl image processing" - Page 3
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Showing 1015 open source projects for "idl image processing"
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C3D is a command-line tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling.
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SwarmUI
Modular AI image and video generation web UI with extensible tools
SwarmUI is a modular web-based user interface designed for AI-driven image generation, with a strong focus on usability, performance, and extensibility. It serves as a unified environment for working with multiple AI models, including Stable Diffusion and newer image and video generation systems, allowing users to create and manage outputs through a browser interface. SwarmUI is built to accommodate both beginners and advanced users by offering a simple “Generate” interface alongside more... -
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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. -
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ComfyUI Essentials
Essential nodes that are weirdly missing from ComfyUI core
ComfyUI_essentials is a ComfyUI custom node collection that adds practical nodes the author considers missing from the ComfyUI core. The project focuses on useful workflow building blocks rather than generic duplicates, with nodes for image handling, mask processing, sampling, segmentation, conditioning, text, and miscellaneous operations. Its image tools include functions for batching, cropping, flipping, resizing, compositing, background removal, color matching, LUT application, sharpening, tiling, and latent previewing. Its mask tools include blur, smoothing, fixing, flipping, color-based masks, segmentation masks, bounding boxes, transition masks, and batch utilities. ... -
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OmniTools
Self-hosted collection of powerful web-based tools for everyday tasks
...It’s designed to replace the random assortment of “free online tools” people use for quick tasks, while avoiding ads, tracking, and the need to upload sensitive files to unknown servers. A key design choice is that file processing happens entirely on the client side, meaning your data stays in your browser instead of being sent to the backend. The tool catalog spans both technical and non-technical needs, including image, video, audio, PDF, text, date/time, math, and data format utilities like JSON/CSV/XML helpers. It’s also packaged for straightforward self-hosting, with a lightweight Docker image and simple run commands, so it can be deployed quickly on a homelab or internal network. -
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The Book of Shaders
Step-by-step guide through the complex universe of fragment Shaders
...It begins with shader fundamentals, uniforms, and the process of running GLSL code. Later chapters explain shaping functions, colors, geometric forms, matrices, patterns, randomness, noise, and fractal techniques. The material then expands into image processing, simulations, lighting, normal maps, ray marching, environmental mapping, reflection, and refraction. Interactive examples help readers connect mathematical expressions with rendered results. The repository also contains translations, galleries, a glossary, offline navigation guidance, and instructions for running examples on devices such as Raspberry Pi. -
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Milvus Bootcamp
Dealing with all unstructured data, such as reverse image search
Milvus Bootcamp is a collection of tutorials, examples, and best practices for using Milvus, an open-source vector database designed for AI-powered similarity search and retrieval applications. -
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Dream Textures
Stable Diffusion built-in to Blender
...Outpaint to increase the size of an image by extending it in any direction. Perform style transfer and create novel animations with Stable Diffusion as a post processing step. Dream Textures has been tested with CUDA and Apple Silicon GPUs. Over 4GB of VRAM is recommended. -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. -
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ComfyUI SUPIR
SUPIR upscaling wrapper for ComfyUI
The ComfyUI-SUPIR project is a ComfyUI integration of the SUPIR model, which is designed for high-quality image restoration and super-resolution. It enables users to enhance low-resolution or degraded images using advanced diffusion-based techniques. The integration provides nodes that allow users to control parameters such as noise levels, guidance strength, and output quality. It is particularly useful for workflows that require upscaling or restoring images before further processing. ... -
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Unstructured.IO
Open source libraries and APIs to build custom preprocessing pipelines
The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of unstructured revolve around streamlining and optimizing the data processing workflow for LLMs. unstructured modular bricks and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and is efficient in transforming unstructured data into... -
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clip-retrieval
Easily compute clip embeddings and build a clip retrieval system
...It allows developers to compute embeddings for both images and text efficiently and then index them for fast similarity search across massive datasets. The system is optimized for performance and scalability, capable of processing tens or even hundreds of millions of embeddings using GPU acceleration. It includes components for inference, indexing, filtering, and serving results through APIs, making it a complete pipeline for building production-ready retrieval systems. The framework also supports querying by image, text, or embedding, enabling flexible use cases such as reverse image search or multimodal content discovery. ... -
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OpenAI Go
The official Go library for the OpenAI API
...It enables developers to integrate OpenAI’s models and features into Go applications with a clean and idiomatic interface. The library provides support for a wide range of API endpoints including chat completions, assistants, embeddings, image generation, audio processing, and batch jobs. It includes built-in tools for handling authentication, managing API requests, and parsing structured responses. The repository also offers examples to help developers quickly set up projects and test different API calls. Designed for reliability and ease of use, it is maintained to stay aligned with the evolving OpenAI API specifications. -
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Xlideit Image Viewer
A lightweight image viewer with basic image processing
This is a lightweight image viewer with basic image processing. A thumbnail bar is shown at the bottom of the window with all the images in the folder. The name of the current image and the toolbar are shown at the top of the window. Use the toolbar to access basic commands like: image slideshow, adjust zoom, rotate, delete, crop or resize the image, sort the list or access the program settings. -
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reverse-SynthID
Reverse engineering Gemini's SynthID detection
Reverse-SynthID is a research-focused project that analyzes and reverse-engineers Google’s SynthID watermarking system used in AI-generated images. It leverages signal processing and spectral analysis techniques to identify hidden watermark patterns without access to proprietary encoding methods. The project introduces a multi-resolution “SpectralCodebook” that maps watermark characteristics across different image sizes. Using this approach, it can detect SynthID watermarks with high accuracy and selectively reduce or remove them through frequency-domain manipulation. ... -
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Waifu2x-Extension-GUI
Video, Image and GIF upscale/enlarge(Super-Resolution)
...Beta builds are more unstable than the stable builds because the beta builds have not been fully tested before release. Multimedia support: Supports processing Image & GIF&APNG & Video at the same time. Full image style support: Multiple built-in algorithms, 2D anime, or your daily photos & videos, this software can handle all of them. Video frame interpolation: Automatically use AI to interpolate frames after enlarge the video. -
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Keras Hub
Pretrained model hub for Keras 3
Keras Hub is a repository of pre-trained models for Keras 3, offering a collection of ready-to-use models for various machine-learning tasks. KerasHub is an extension of the core Keras API; KerasHub components are provided as Layer and Model implementations. If you are familiar with Keras, congratulations. You already understand most of KerasHub. -
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Depth Anything 3
Recovering the Visual Space from Any Views
Depth Anything 3 is a research-driven project that brings accurate and dense depth estimation to any input image or video, enabling foundational understanding of 3D structure from 2D visual content. Designed to work across diverse scenes, lighting conditions, and image types, it uses advanced neural networks trained on large, heterogeneous datasets, producing depth maps that reveal scene depth relationships and object surfaces with strong fidelity. -
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Delphi-OpenCV
Project Delphi-OpenCV. Translation of OpenCV library header files
Delphi-OpenCV is a set of Object Pascal bindings and tools that bring OpenCV functionality into the Delphi development environment. It provides access to computer vision capabilities such as image processing, feature detection, and video analysis within native Delphi applications. The project includes sample programs, preconfigured packages, and integration with related libraries like SDL and OpenGL. It supports multiple OpenCV versions and includes resources such as Haar cascades for face detection tasks. Developers can use it to build desktop applications that leverage real-time vision processing. ... -
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ExifCleaner
Desktop app to sweep away exif metadata from images and other files
ExifCleaner is a cross-platform desktop app for cleaning metadata from images, videos, PDFs and other files. With ExifCleaner you can keep file sizes to a minimum and keep potential attackers from being able to use your GPS and device metadata. -
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Google AI Edge Gallery
A gallery that showcases on-device ML/GenAI use cases
...The project bundles runnable samples that show how to run TensorFlow Lite/Edge TPU models (and similar lightweight runtimes) on mobile and embedded platforms, demonstrating common tasks like image classification, object detection, audio recognition, and pose estimation. Each sample is intended to be both a learning aid and a practical starting point: code is organized to show model loading, pre/post-processing, performance measurement, and common optimization knobs (quantization, NNAPI/Delegate usage, and hardware accelerators). ... -
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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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Scrimage
JVM - Java, Kotlin, Scala image processing library
Scrimage is an immutable, functional, and performant JVM library for the manipulation of images. The aim of this library is to provide a simple and concise way to do common image operations, such as resizing to fit a required width and height, converting between formats, applying filters, and so on. It is easy to use from any language on the JVM. A typical use case for this library would be creating thumbnails of images uploaded by users in a web app, bounding a set of product images so that... -
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PaddleNLP
Easy-to-use and powerful NLP library with Awesome model zoo
PaddleNLP It is a natural language processing development library for flying paddles, with Easy-to-use text area API, Examples of applications for multiple scenarios, and High-performance distributed training Three major features, aimed at improving the modeling efficiency of the flying oar developer's text field, aiming to improve the developer's development efficiency in the text field, and provide rich examples of NLP applications. Provide rich industry-level pre-task capabilities... -
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watermarks-remover
Strip multi-vendor AI provenance marks
Watermarks Remover is an agent skill and Python service for removing AI provenance marks from text and files that users own. It cleans invisible Unicode characters, exotic spaces, bidirectional controls, and other hidden text artifacts through deterministic processing. Statistical text watermarks can be addressed through agent rewriting and an optional rewrite hook. The service also strips provenance and metadata such as C2PA, EXIF, XMP, and document properties from many media and document...
