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47 repositorios

Awesome GitHub RepositoriesVideo Encoding and Decoding

Hardware-accelerated compression and decompression of video data using industry-standard codecs.

Distinguishing note: Candidates cover Base64 or audio encoding; this is specifically for hardware-accelerated video codecs.

Explore 47 awesome GitHub repositories matching graphics & multimedia · Video Encoding and Decoding. Refine with filters or upvote what's useful.

Awesome Video Encoding and Decoding GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • infrasys-ai/aisystemAvatar de Infrasys-AI

    Infrasys-AI/AISystem

    17,017Ver en GitHub↗

    AISystem is a comprehensive AI full-stack infrastructure project covering the entire pipeline from AI chip architecture to high-level training frameworks. It encompasses the development of AI compiler frameworks, inference engines, and distributed training orchestrators designed to coordinate workloads across a heterogeneous compute stack of CPUs, GPUs, and NPUs. The project focuses on the deep integration of software and hardware, employing software-hardware co-design to align tensor layouts with physical memory structures. It provides specialized capabilities for accelerating Transformer mo

    Integrates hardware-specific acceleration units for efficient video and image encoding and decoding.

    Jupyter Notebookaiaiinfraaisys
    Ver en GitHub↗17,017
  • freerdp/freerdpAvatar de FreeRDP

    FreeRDP/FreeRDP

    13,336Ver en GitHub↗

    FreeRDP is a full software implementation of the Remote Desktop Protocol, providing both client and server capabilities for remote session management. It functions as an RDP client library and a standalone remote desktop client, enabling remote connectivity and interoperability across different operating systems. The project includes a dedicated network device redirector and an RDP gateway client to handle authentication and proxy routing. It allows developers to integrate remote desktop functionality into third-party software applications via its client library. The software covers a wide r

    Integrates external libraries like FFmpeg and OpenH264 to decode compressed video streams for remote desktop rendering.

    Candroidcfreerdp
    Ver en GitHub↗13,336
  • daniulive/smarterstreamingAvatar de daniulive

    daniulive/SmarterStreaming

    11,170Ver en GitHub↗

    SmarterStreaming is a cross-platform SDK for hardware-accelerated audio and video capture, encoding, and streaming. It provides a complete media pipeline for low-latency RTMP and RTSP streaming, and includes an embedded lightweight RTSP server that can serve live feeds directly from the source device to local network clients without requiring a separate server. The SDK also integrates with GB28181 surveillance platforms, enabling compliant device registration and streaming for standardized video monitoring systems. The project distinguishes itself through a set of integrated capabilities for

    Uses software decoding for broad compatibility or hardware decoding on supported platforms to reduce CPU usage.

    Javaandroid-rtmpgb28181hevc
    Ver en GitHub↗11,170
  • lipangit/jiaozivideoplayerAvatar de lipangit

    lipangit/JiaoZiVideoPlayer

    10,491Ver en GitHub↗

    JiaoZiVideoPlayer is an Android media player framework used to build mobile video interfaces. It serves as a unified interface layer that abstracts multiple backend playback engines to ensure consistent video delivery on mobile devices. The project integrates ExoPlayer and ijkPlayer, utilizing FFmpeg for broad codec support and efficient media decoding. This cross-backend approach allows the user interface to remain decoupled from specific playback engines, enabling the use of different decoding technologies based on hardware or software requirements. The framework provides a modular playbac

    Utilizes C-based libraries for native-layer media decoding to achieve high performance and broad codec compatibility.

    Javaproject
    Ver en GitHub↗10,491
  • nevcairiel/lavfiltersAvatar de Nevcairiel

    Nevcairiel/LAVFilters

    8,969Ver en GitHub↗

    LAVFilters is an open-source media filter pack consisting of splitters and decoders designed for the DirectShow framework. It functions as a set of software components that convert compressed media data into raw formats for hardware or software rendering. The collection includes a media splitter to separate combined audio and video container formats into individual streams, as well as a specialized Blu-ray disc player filter used to identify and extract movie titles and playlists from disc structures. The project provides capabilities for audio and video stream decoding, media stream demuxin

    Provides software-based decoding components for various audio and video codecs.

    C++
    Ver en GitHub↗8,969
  • dusty-nv/jetson-inferenceAvatar de dusty-nv

    dusty-nv/jetson-inference

    8,734Ver en GitHub↗

    jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

    NVIDIA accelerates video encoding and decoding using hardware-specific APIs on Windows and Linux.

    C++caffecomputer-visiondeep-learning
    Ver en GitHub↗8,734
  • turanszkij/wickedengineAvatar de turanszkij

    turanszkij/WickedEngine

    7,117Ver en GitHub↗

    WickedEngine es un motor de juegos 3D en C++ y un framework diseñado para construir aplicaciones tridimensionales de alta fidelidad y proyectos gráficos. Cuenta con un renderizador gráfico moderno que implementa estándares actuales para producir geometría e iluminación complejas en diferentes tipos de hardware. El motor incluye un editor de escenas visual independiente para diseñar entornos y configurar propiedades sin escribir código. También proporciona un entorno de scripting Lua integrado para gestionar la lógica en tiempo de ejecución y automatizar tareas del motor. El framework cubre el renderizado de gráficos 3D y el desarrollo de aplicaciones, incluyendo un sistema de importación de modelos que convierte formatos de archivo externos en un formato de escena nativo. Su arquitectura incorpora un backend gráfico multi-API para admitir varios sistemas operativos e interfaces de hardware.

    Abstracts hardware communication to support multiple modern graphics APIs across different operating systems.

    C
    Ver en GitHub↗7,117
  • neutrinolabs/xrdpAvatar de neutrinolabs

    neutrinolabs/xrdp

    6,645Ver en GitHub↗

    xrdp is an open-source implementation of the Remote Desktop Protocol (RDP) that enables users to establish a remote graphical desktop session to a Linux machine. It provides a standard RDP connection to a Linux desktop, allowing clients to access and interact with the remote system's graphical interface. The project supports a wide range of platforms beyond standard x86 and ARM Linux environments, including macOS, FreeBSD, and other UNIX-like systems. It offers extensive configuration options for remote display management, such as matching the client display to the server screen, dynamic resi

    Allows tuning x264-specific encoding parameters via configuration files.

    Cclinuxremote-desktop
    Ver en GitHub↗6,645
  • phoboslab/jsmpegAvatar de phoboslab

    phoboslab/jsmpeg

    6,498Ver en GitHub↗

    jsmpeg is a JavaScript MPEG1 video decoder and canvas-based video renderer. It functions as a client-side media decoder that processes video frames in JavaScript, rendering them to an HTML5 canvas without relying on native browser video elements. The project provides a low-latency video player capable of receiving binary media data over WebSockets for real-time streaming. It also supports the progressive loading of static video files via Ajax to allow playback to begin before a file is fully downloaded. The system includes capabilities for playback state and event management, allowing for th

    Provides a software-based media decoder that processes raw streams and static files without relying on native browser video elements.

    JavaScript
    Ver en GitHub↗6,498
  • hooke007/mpv_playkitAvatar de hooke007

    hooke007/mpv_PlayKit

    6,473Ver en GitHub↗

    Provides guidance on configuring encoding parameters and presets for video compression.

    GLSLmpvmpv-configmpv-player
    Ver en GitHub↗6,473
  • lake1059/ffmpegfreeuiAvatar de Lake1059

    Lake1059/FFmpegFreeUI

    6,398Ver en GitHub↗

    Provides visual controls for common encoding parameters alongside a fully custom parameter field.

    Visual Basic .NETffmpegffmpeg-guiffmpeg-windows
    Ver en GitHub↗6,398
  • skyworkai/skyreels-v2Avatar de SkyworkAI

    SkyworkAI/SkyReels-V2

    6,356Ver en GitHub↗

    SkyReels-V2 is a video generation system that creates, extends, and refines video clips from text descriptions, images, or both. It operates as a diffusion-based video generation model that can produce videos of any duration by denoising frames sequentially, with each new frame conditioned on the ones that came before it. The system supports generating videos from scratch using text prompts, starting from a single image and producing subsequent frames, or constraining both the first and last frames to match user-provided images. What distinguishes SkyReels-V2 is its combination of infinite-le

    Encodes both the first and last user-provided images as constraints, ensuring the generated video begins and ends with specific visuals.

    Python
    Ver en GitHub↗6,356
  • nvidia/isaac-gr00tAvatar de NVIDIA

    NVIDIA/Isaac-GR00T

    6,222Ver en GitHub↗

    Provides hardware-accelerated video encode and decode APIs for high-performance processing on Windows and Linux.

    Jupyter Notebook
    Ver en GitHub↗6,222
  • cisco/openh264Avatar de cisco

    cisco/openh264

    6,079Ver en GitHub↗

    OpenH264 es una librería para codificar y decodificar video utilizando el estándar H.264. Proporciona herramientas para transformar frames de video crudos en flujos de bytes comprimidos y descomprimir dichos flujos de vuelta a frames de píxeles crudos. El proyecto incluye un generador de flujos de video simulcast que produce múltiples resoluciones desde una única fuente. Esta capacidad admite streaming de bitrate adaptativo y comunicación de video en tiempo real en diversas condiciones de red. El sistema implementa flujos de trabajo de procesamiento de video que incluyen control de tasa adaptativo, codificación paralela basada en slices y gestión de buffers planares YUV. Utiliza análisis de bitstream basado en estados para manejar dependencias secuenciales de frames de video.

    Divides video frames into horizontal strips to enable simultaneous compression across multiple CPU cores.

    C++
    Ver en GitHub↗6,079
  • neuphonic/neuttsAvatar de neuphonic

    neuphonic/neutts

    6,007Ver en GitHub↗

    Neutts is a neural text-to-speech engine designed for real-time streaming output on edge devices such as phones and laptops. It supports voice cloning from short audio references, enabling zero-shot reproduction of a target speaker's voice, and can be fine-tuned or retrained from scratch for custom voices and styles. The system distinguishes itself through a decoder-only architecture that halves memory and accelerates generation on constrained hardware, combined with quantized model inference for reduced memory footprint. Its streaming decoder loop interleaves synthesis with playback, deliver

    Pre-encodes reference audio samples to skip the encoding step during repeated generations, reducing latency.

    Python
    Ver en GitHub↗6,007
  • android/camera-samplesAvatar de android

    android/camera-samples

    5,422Ver en GitHub↗

    Una colección de implementaciones de referencia y muestras de código para integrar hardware de cámara Android y APIs de software. El proyecto proporciona demostraciones para usar tanto la librería Jetpack CameraX como la API Camera2 de bajo nivel para implementar funciones de captura de fotos y vídeo. El repositorio incluye implementaciones especializadas para grabación de alto rendimiento, como cámara lenta de alta tasa de fotogramas y vídeo de alto rango dinámico (HDR). También cuenta con ejemplos de visión por aprendizaje automático, demostrando cómo analizar fotogramas de cámara en vivo para la detección de objetos y escaneo de códigos QR. El proyecto cubre capacidades de imagen amplias, incluyendo adquisición de imágenes fijas, renderizado de visor en vivo y configuración de calidad de vídeo. Detalla además el uso de extensiones de hardware específicas del fabricante para aplicar efectos como bokeh, modo nocturno y HDR. Las muestras incluyen utilidades para el mapeo de coordenadas para renderizar superposiciones visuales y monitoreo de eventos para rastrear estados de grabación.

    Demonstrates the capture of high dynamic range video and the rendering of real-time HDR viewfinders.

    Kotlinkotlinsamples
    Ver en GitHub↗5,422
  • gfx-rs/gfxAvatar de gfx-rs

    gfx-rs/gfx

    5,398Ver en GitHub↗

    gfx es una abstracción de API de gráficos agnóstica al hardware que traduce un conjunto unificado de comandos de gráficos y cómputo en instrucciones nativas para múltiples controladores de GPU. Proporciona una interfaz común para el renderizado multiplataforma y la programación de cómputo de GPU de propósito general. El proyecto cuenta con un sistema de traducción de shaders de representación intermedia que convierte el código fuente y SPIR-V en lenguajes específicos para el objetivo. Emplea un framework de pruebas de referencia basado en datos para verificar que la salida de gráficos permanezca consistente a través de diferentes plataformas de hardware. Las capacidades incluyen la codificación de buffers de comandos en paralelo a través de múltiples hilos y la encapsulación de estados de pipeline en objetos únicos para minimizar cambios de estado redundantes. El sistema gestiona recursos de GPU de bajo nivel, incluyendo asignación de memoria, mapeo de buffers asíncrono y presentación explícita de fotogramas a través de swapchains. La implementación apunta a entornos nativos y navegadores web a través de WebAssembly, proporcionando capas de traducción para WebGL y WebGL2.

    Abstracts multiple low-level graphics backends through a standardized set of commands for cross-platform compatibility.

    Rustdx11dx12gfx
    Ver en GitHub↗5,398
  • mpc-hc/mpc-hcAvatar de mpc-hc

    mpc-hc/mpc-hc

    5,266Ver en GitHub↗

    Este proyecto es un software de reproductor multimedia y receptor de televisión digital diseñado para renderizar una amplia variedad de formatos de archivos de audio y video y señales de transmisión digital. Funciona como un reproductor multimedia DirectShow, proporcionando una interfaz de renderizado de video para gestionar ajustes de salida y calidad visual. El software incluye capacidades para sintonización de televisión digital, permitiendo la captura, grabación y reproducción de señales de transmisión en vivo mediante tarjetas sintonizadoras de hardware compatibles. También cuenta con decodificación multimedia acelerada por hardware e integración de decodificadores internos para asegurar la reproducción multiformato en diversas especificaciones de hardware. El sistema cubre la gestión de salida de video mediante el uso de shaders y gestión de color, así como el renderizado de subtítulos para superposiciones de texto e imagen. Los usuarios pueden personalizar el espacio de trabajo mediante la personalización del diseño de la interfaz y la creación de barras de herramientas personalizadas.

    Uses platform-specific hardware decoders to efficiently render media and reduce CPU load.

    Caudioc-plus-pluscinema
    Ver en GitHub↗5,266
  • yixia/vitamiobundleAvatar de yixia

    yixia/VitamioBundle

    5,257Ver en GitHub↗

    VitamioBundle es una librería de reproductor multimedia y framework de reproducción para Android diseñado para decodificar y renderizar contenido de audio y video de alto rendimiento. Proporciona un decodificador de video acelerado por hardware para reducir la carga de CPU y el consumo de batería en dispositivos móviles. El proyecto incluye un cliente de streaming de bitrate adaptativo que ajusta la calidad de video en tiempo real según las condiciones de la red para evitar interrupciones en la reproducción. También cuenta con un motor de renderizado de video capaz de configurar formatos de píxel y salida de croma para optimizar la calidad visual en pantallas móviles. La librería cubre amplias capacidades multimedia, incluyendo gestión de subtítulos, control de velocidad de reproducción y el uso de cabeceras HTTP personalizadas para la carga de streams. Soporta streaming de medios seguro mediante SSL, TLS y HTTPS integrados, y utiliza caché de almacenamiento local para reducir el uso de ancho de banda.

    Utilizes dedicated hardware decoders to efficiently play video and audio while reducing CPU load.

    Java
    Ver en GitHub↗5,257
  • doikki/dkvideoplayerAvatar de Doikki

    Doikki/DKVideoPlayer

    5,317Ver en GitHub↗

    DKVideoPlayer is an Android video player library and media playback framework designed to integrate advanced streaming and playback capabilities into mobile applications. It provides a hardware-accelerated video renderer and a customizable UI kit for building player interfaces, including support for picture-in-picture floating windows. The framework distinguishes itself through specialized interactive features, such as real-time comment overlays, frame capture snapshots, and gesture-based controls for adjusting volume, brightness, and playback progress. It also supports multi-stream playback,

    Provides hardware-accelerated video decoding options to ensure compatible playback across different devices.

    Javaandroidexoplayerffmpeg
    Ver en GitHub↗5,317
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Explorar subetiquetas

  • Android Video Encoding Guides1 sub-etiquetaDocumentation of challenges and solutions encountered during video encoding development on Android platforms. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on platform-specific Android encoding challenges, not general codec implementations.
  • Encoding Parameter Guides4 sub-etiquetasDocumentation and presets for configuring video compression parameters and codec settings. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on user-facing configuration guidance rather than the codec implementation itself.
  • Encoding Progress EstimatorsReal-time calculators for remaining processing time and projected output file size during encoding. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on progress estimation rather than the codec implementation.
  • External Filter IntegrationsPasses video frames through external scripting frameworks like AviSynth and VapourSynth for advanced filtering before encoding. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on integration with external scripting frameworks rather than codec-level encoding.
  • Frame Constraint EncodersTechniques for encoding user-provided start and end images as constraints to ensure generated videos begin and end with specific visuals. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: encodes visual constraints for generation, not compression or decompression of video data.
  • Graphics API AbstractionsInterfaces that simplify targeting multiple low-level graphics backends through a standardized set of commands. **Distinct from Low-Level Codec Controls:** Distinct from codec controls or system debuggers by focusing on the abstraction of 3D graphics APIs.
  • Latency AnalysesExplanations of how video compression standards and GOP settings create trade-offs between bandwidth and playback delay. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on latency analysis and trade-offs, not the encoding/decoding process itself.
  • Low-Level Codec ControlsProvides C-style APIs for granular, low-level control over rate control, framerate, codec profile, and format selection. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on low-level C-style API control over encoding parameters, not on the general hardware-accelerated codec implementation.
  • Mezzanine Video EncodersEncoders specifically for high-quality intermediate formats used in professional post-production. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: specifically targets high-fidelity mezzanine formats like ProRes and DNxHR.
  • Parallel Encoding and Decoding1 sub-etiquetaDistributes compression and decompression work across multiple threads to improve overall throughput. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on parallel processing of JPEG XL codec operations, not video codec support.
  • Pause and Resume TranscodersEncoding tools that can suspend an active job and later resume it from the interruption point without data loss. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: adds the pause/resume lifecycle capability to the encoding process.
  • Pre-Encoded Packet IngestorsAccepts already-encoded video and audio packets and writes them directly into the output file, preserving original quality. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on ingesting pre-encoded packets without re-encoding, not on compression or decompression.
  • Software-Based Video Encoders4 sub-etiquetasSoftware-based video encoding using libraries like FFmpeg with x264 or openh264 for broader feature support and higher compression ratios. **Distinct from Video Encoding and Decoding:** Distinct from Video Encoding and Decoding: focuses on software codecs (FFmpeg, x264) rather than hardware-accelerated encoding.