Search Results for "gpu max performance"
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Showing 13 open source projects for "gpu max performance"
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OptiScaler
OptiScaler bridges upscaling/frame gen across GPUs
...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. -
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Anime4KCPP
A high performance anime upscaler
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... -
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ffmpeg-over-ip
Connect to remote ffmpeg servers
ffmpeg-over-ip is a client-server system that enables remote execution of FFmpeg commands on a machine with GPU access while controlling it from another environment such as a container or virtual machine. It allows applications without direct GPU access to offload video transcoding tasks to a remote server, improving performance without requiring complex passthrough setups. The system works by coordinating commands through a lightweight protocol while using a shared filesystem to exchange media data. ... -
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Apollo
The easiest way to stream with the native resolution of your client
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... -
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5
Rivatuner
rivatuner statistics server
...Initially a small tool designed for graphics card utilities, the statistics server has in recent years been able to become a high-performance video capture service provider for virtual frame monitoring, on-screen display, and other graphics card utilities Download. -
6
Warlock-Studio
AI Suite for upscaling, interpolating & restoring images/videos
v6.0. 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... -
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QtAV
A multimedia framework based on Qt and FFmpeg
QtAV is a cross-platform and high performance multimedia playback framework based on Qt and FFmpeg. Features: timeline preview, gpu decoding etc -
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MediaCoder
Universal media transcoding software
MediaCoder is a universal media transcoding software actively developed and maintained since 2005. It puts together most cutting-edge audio/video technologies into an out-of-box transcoding solution with a rich set of adjustable parameters which let you take full control of your transcoding. New features and latest codecs are added or updated constantly. MediaCoder might not be the easiest tool out there, but what matters here is quality and performance. It will be your swiss army knife for... -
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Real-ESRGAN Video Enhance
Real-ESRGAN video upscaler with resumability
...It utilizes Real-ESRGAN-can-Vulkan, FFmpeg and MediaInfo under the hood. REVE employs a segment-based approach to video upscaling, allowing it to simultaneously upscale and encode videos. This results in a notable enhancement in performance and enables the feature of reusability. You can download Windows executable file for Intel/AMD/Nvidia GPU. This executable file is portable and includes all the binaries and models required. No CUDA or PyTorch environment is needed. -
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10
Robust Video Matting (RVM)
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX
We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX 1080Ti GPU. Unlike most existing methods that perform video matting frame-by-frame as independent images, our method uses a recurrent architecture to exploit temporal information in videos and achieves significant improvements in temporal coherence and matting quality. ... -
11
jetson-ffmpeg
ffmpeg support on jetson nano
...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. -
12
anyLive
RTMP streamer, RTMP (HLS) second-on player, live streaming on demand
...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. -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo...
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