#WebGL

Keras.js enables running Keras models in browsers with GPU acceleration via WebGL, compatible with backends like TensorFlow and CNTK. Despite being inactive, its demos, including MNIST CNN and ResNet-50, offer insights on model execution, supporting Node.js in CPU mode. For updates, refer to TensorFlow.js. Compatible with Keras 2.1.2.

The annotation tool, employing Python and JavaScript technologies, is designed for efficiently annotating the KITTI-360 dataset, which is pivotal for urban scene understanding. It includes features like demo data integration, user-task management, and XML result parsing. The tool's structured setup and compatibility ensure ease of use, making it a valuable resource for researchers. Offered under the MIT license, it is accessible and adaptable for varied research needs.

jeelizFaceFilter is a lightweight JavaScript library designed for real-time face tracking and augmented reality applications. It allows integration with popular WebGL 3D engines including THREE.JS and BABYLON.JS, enabling features such as multi-face tracking and face rotation detection. The library is framework agnostic, offering flexibility for integration with different development frameworks and maintaining robust performance in varying lighting conditions.

This resource details computer vision and machine learning technologies including Fast Fourier Transforms, stereo matching, and Poisson image editing. It covers methods such as fish-eye transforms, decision tree learning, and clustering techniques. Suitable for web and Node environments, the project offers hands-on experience with neural networks, gradient boosting, and 3D shape drawing using WebGL and ONNX Runtime.

Discover FILTER.js, a comprehensive JavaScript library for image and video processing, utilizing HTML5 technologies such as WebGL, WebAssembly, and Web Workers. Offering an array of filters and plugins for synchronous and parallel processing with CPU and GPU support, it is versatile for both browser and Node.js applications. This framework supports custom builds with a wide selection of filters for efficient media processing, making it ideal for integrating advanced image manipulation and real-time computer vision into projects.

ANGLE provides a framework for executing WebGL and OpenGL ES across various OS by converting OpenGL ES API calls to Vulkan, Direct3D, and other supported graphics interfaces. Compatible with systems such as Windows, Mac OS, and Android, it supports leading browsers. ANGLE also experiments with OpenCL integration, extending its graphics translation capacities. It serves as a critical tool for developers handling complex rendering.

Mapbox GL JS is a JavaScript library that facilitates the creation of interactive vector maps for web applications through customizable styles and WebGL rendering. Part of the Mapbox GL ecosystem, it ensures compatibility with native SDKs across multiple platforms, including Android and iOS. Without the inclusion of promotional adjectives, it is suited for developers seeking to include comprehensive map functionalities such as navigation and search. The library is well-supported with extensive documentation and community resources for enhancement.