Search Results for "gpu max performance"

...The tool effectively acts as a compatibility layer between the game engine and multiple upscaling frameworks, enabling cross-GPU access to features that might otherwise be restricted to specific hardware ecosystems. In addition to replacing upscalers, OptiScaler can enable frame generation features in titles that do not officially support them, improving frame rates and perceived smoothness during gameplay.

Anime4KCPP provides an optimized bloc97's Anime4K algorithm version 0.9, and it also provides its own CNN algorithm ACNet, it provides a variety of way to use, including preprocessing and real-time playback, it aims to be a high-performance tool to process both image and video. This project is for learning and the exploration task of the algorithm course in SWJTU. Anime4K is a simple high-quality anime upscale algorithm. Version 0.9 does not use any machine learning approaches and can be...

...It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance-critical for live experiences. Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control. For example, it can form the basis for yoga, dance, and fitness applications. ...

Apollo is a self-hosted desktop streaming host designed to enable low-latency game streaming from a personal computer to remote clients using protocols compatible with Moonlight and Artemis. It acts as a server that captures, encodes, and streams desktop or game sessions while supporting hardware acceleration across AMD, Intel, and NVIDIA GPUs. The project includes a web-based interface that allows users to configure streaming settings, manage connected clients, and control application...

QtAV is a cross-platform and high performance multimedia playback framework based on Qt and FFmpeg. Features: timeline preview, gpu decoding etc

...It requires building both the library and a patched version of FFmpeg to fully enable hardware features. Overall, it extends FFmpeg functionality to better suit embedded GPU-powered environments.

...The project is designed for real-time communication and live broadcasting applications, offering low-latency streaming and compatibility with standard RTMP servers and CDNs. It integrates support for multiple protocols such as RTMP, HLS, HTTP, and RTSP, enabling flexible streaming scenarios. The framework also includes features like GPU-based filters, screen sharing, custom rendering pipelines, and multi-stream playback, making it adaptable for complex media applications. With a focus on performance optimization and minimal resource usage, it serves as a practical reference for building production-ready streaming systems.