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This project is a browser-based graphics editor and image processing library that performs visual transformations directly within the web environment. It provides a toolset for loading local image files, applying complex visual effects, and exporting the modified results without requiring server-side data processing.
The main features of evanw/webgl-filter are: Browser-Based Editors, GPU-Accelerated Image Processing Frameworks, GPU-Accelerated Shaders, WebGL, Image Visual Filters, Browser-Based Image Processing, Texture-Based Data Pipelines, Image Import and Export.
Open-source alternatives to evanw/webgl-filter include: bradlarson/gpuimage2 — GPUImage2 is a Swift framework for applying real-time filters and effects to images and video using the GPU. It… wasabeef/android-gpuimage — android-gpuimage is an OpenGL image processing library for Android that provides a GPU-powered framework for applying… una/cssgram — CSSgram is a CSS image filter library and framework that provides a system of reusable mixins and classes for… brianchirls/seriously.js — Seriously.js is a WebGL video processing framework and browser-based graphics engine designed for real-time video… bradlarson/gpuimage — GPUImage is a GPU-accelerated image processing framework for iOS designed to apply real-time filters and effects to… pintaproject/pinta — Pinta is a cross-platform raster graphics editor and digital image manipulation tool. It provides a drawing…
GPUImage2 is a Swift framework for applying real-time filters and effects to images and video using the GPU. It provides a real-time video filter library, an image geometry manipulation engine, and an OpenGL shading pipeline for processing visual data on graphics hardware. The framework enables the construction of visual effect pipelines by chaining image sources to consumers in sequential flows. It supports the development of custom fragment and vertex shaders for bespoke image processing and offers the ability to bundle these operations into reusable units via graph-based grouping. Capabil
android-gpuimage is an OpenGL image processing library for Android that provides a GPU-powered framework for applying real-time shaders, blending layers, and processing live video streams. It functions as a real-time video filter and image blending engine to modify the luminance, vibrance, and geometry of visual content. The library enables the application of graphical effects to both static photos and live camera feeds. It supports complex image transformations, including the merging of multiple image layers through various blending modes. Capabilities cover a broad range of image manipulat
CSSgram is a CSS image filter library and framework that provides a system of reusable mixins and classes for implementing visual image effects. It enables CSS-based image processing to modify the appearance of images directly in the browser without requiring server-side processing. The project facilitates client-side photo processing and frontend visual styling by applying photographic style filters and color presets to web images. It uses a combination of CSS filters and blend modes to achieve these effects through the assignment of predefined class names to HTML elements.
Seriously.js is a WebGL video processing framework and browser-based graphics engine designed for real-time video composition and image manipulation. It functions as a node-based visual compositor that organizes media sources and effects into a directed acyclic graph, using a custom fragment shader compiler to transform these graphs into optimized GLSL shaders for GPU-accelerated rendering. The engine features a modular web media pipeline and a plugin-based architecture, allowing for the integration of custom effects, input sources, and output targets. It enables the development of interactiv