Search Results for "gpu hardware"

...This makes it possible to swap technologies such as NVIDIA DLSS, AMD FSR, or Intel XeSS even if the game only supports one of them by default. 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.

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

Experimental cross-platform 3D media playback framework and a collection of demonstration applications built with Qt 6.11.1. The project is organized around a reusable Core library and several proof-of-concept frontends showcasing different Qt user interface technologies: - Qt Widgets - Qt Quick - Qt Quick 3D - Qt Quick 3D XR Qt Multimedia provides a solid foundation for video decoding and playback control. However, its standard presentation pipeline is primarily focused on...

...This allows efficient processing of video streams on embedded systems without overloading CPU resources. jetson-ffmpeg is particularly useful for edge computing applications such as robotics, surveillance, and real-time streaming. 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.

IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware: