Search Results for "cpu"

v5.1.1. Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system...

Free FPS is an open‑source desktop app and scripts to change a video file frame rate (FPS) using FFmpeg. Unlike video editors, it does not add effects or alter content - it only adjusts playback speed and, if needed, re-encodes audio as well. Useful if you work with multiple videos shot at different frame rates that cannot be combined or edited without interpolation or frame loss. Also doubles as a fast video compressor: keep the original FPS and raise compression (e.g., higher CRF or...

...HD 1080p images can be rendered in record time on low-end hardware. Installation is easy. Just install the addon. No special hardware or GPU is required. Upscaling is done entirely on the CPU. Blender renders a low-resolution image. The Real-ESRGAN Upscaler upscales the low-resolution image to a higher-resolution image. Real-ESRGAN is a deep learning upscaler that uses neural networks to achieve excellent results by adding in detail when it upscales.

...Scale images up to 4x their original size, all in Javascript. UpscalerJS ships with pre-trained models in the box covering a wide variety of use cases. Or bring your own! Browser, Node (CPU and GPU-accelerated), and Service Worker environments all supported. Supports inputs in a wide variety of formats - URL, HTMLImageElement, and more, and by default exports a base64 upscaled string. Pick your Javascript flavor! UpscalerJS ships with ESM and UMD (browser) and ESM and CJS (Node). Close to 100% test coverage, Typescript support, examples covering a wide variety of use cases, and thick documentation.

Anime4KSharp is a .Net Core library that implements bloc97's Anime4K Algorithm version 0.9 and 1.0 RC2. The Algorithm is executed on the CPU, but utilizing all available CPU Cores. This yields to a conversion time of "only" 4432 ms when upscaling from 1080p to 2160p. This time could possibly be reduced with further optimization. Images are processed in four phases that are executed on a pixel- per- pixel basis. Each phase takes a input image and renders it to a output image. ...