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An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
The Easel Javascript library provides a full, hierarchical display list, a core interaction model, and helper classes to make working with the HTML5 Canvas element much easier.
VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.
NGraphics is a cross platform library for rendering vector graphics on .NET. It provides a unified API for both immediate and retained mode graphics using high quality native renderers.
Graphics32 is a graphics library for Delphi and Lazarus. Optimized for 32-bit pixel formats, it provides fast operations with pixels and graphic primitives. In most cases Graphics32 considerably outperforms the standard TBitmap/TCanvas methods.
Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort.
Hundreds of graphical effects, and a library that provides GLSL functionality in pure Delphi code
Provides lightweight utilities to draw MSDF text on LibGDX
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
Cross-platform C++ framework that allows you to quickly initialize Vulkan and provides easy-to-use abstraction above main objects
⚡ An Augmented Reality real-world length measuring web application built by the modification of the example being provided by babylonjs - concept of using WebXR HitTarget feature.
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.