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12 repository-uri

Awesome GitHub RepositoriesFrame Extractors

Utilities for sampling and outputting individual image frames from a source.

Distinct from Image Processing: Distinct from Image Processing: focuses on the extraction of specific frames for pipeline analysis rather than general image manipulation.

Explore 12 awesome GitHub repositories matching graphics & multimedia · Frame Extractors. Refine with filters or upvote what's useful.

Awesome Frame Extractors GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • bodymovin/bodymovinAvatar bodymovin

    bodymovin/bodymovin

    31,928Vezi pe GitHub↗

    Bodymovin is a motion graphics pipeline tool and plugin that exports After Effects animations into JSON files for native rendering on web and mobile platforms. It serves as a cross-platform animation bridge, converting complex vector motion designs into a portable Lottie format for use across different operating systems and frameworks. The project enables high-performance web animation by rendering motion graphics using SVG, Canvas, or HTML. It ensures consistent playback across diverse environments by converting dynamic expressions into static keyframes during the export process. The toolse

    Extracts individual image frames from the animation timeline for use as poster images.

    JavaScript
    Vezi pe GitHub↗31,928
  • graphiteeditor/graphiteAvatar GraphiteEditor

    GraphiteEditor/Graphite

    24,258Vezi pe GitHub↗

    Graphite is a node-based visual design environment that integrates vector illustration, raster image processing, and motion graphics generation into a single platform. It utilizes a functional reactive pipeline and a data-flow execution model to propagate state changes through a graph of interconnected nodes, allowing users to construct complex, automated design workflows. The platform distinguishes itself through a context-aware evaluation engine that injects runtime metadata—such as coordinate data and loop indices—directly into the node graph. This enables the creation of procedural geomet

    Extracts and outputs raster image frames from sources to facilitate further processing within the graphics pipeline.

    Rust2d-graphicsanimationart
    Vezi pe GitHub↗24,258
  • rudrabha/wav2lipAvatar Rudrabha

    Rudrabha/Wav2Lip

    13,045Vezi pe GitHub↗

    Wav2Lip is a deep learning lip sync model and neural talking head framework designed to synchronize the lip movements in a video to match a provided audio file. It functions as a computer vision lip synchronizer and speech-to-lip generator that maps speech patterns to visual mouth movements to produce realistic talking head videos. The system utilizes a framework for training and evaluating models that align audio and video frames. This includes the ability to train lip-sync models and visual discriminators using speech-to-lip datasets and evaluating the resulting synchronization accuracy thr

    Processes video sequences as individual frames to ensure perfect alignment with corresponding audio slices.

    Python
    Vezi pe GitHub↗13,045
  • d2phap/imageglassAvatar d2phap

    d2phap/ImageGlass

    12,241Vezi pe GitHub↗

    ImageGlass is a lightweight image viewer and editor designed for Windows environments. It provides a unified interface for displaying a wide range of file types, including raw camera files, vector graphics, and web formats, while offering tools for basic image transformation and metadata inspection. The application distinguishes itself through deep integration with the host operating system, including the ability to synchronize its internal viewing order with the file explorer's sorting state. It supports complex media by providing playback controls for multi-frame and animated files, allowin

    The application provides playback controls for animated or multi-frame files, including pausing, resuming, and extracting individual frames.

    C#avifcsharpdirect2d
    Vezi pe GitHub↗12,241
  • jaywalnut310/vitsAvatar jaywalnut310

    jaywalnut310/vits

    7,862Vezi pe GitHub↗

    This project is an end-to-end text-to-speech engine and deep learning voice synthesizer. It functions as a neural speech synthesis framework that converts written text directly into audio waveforms using a single neural network. The system implements an adversarial framework and a conditional variational autoencoder to generate high-fidelity artificial speech. It utilizes a generative adversarial network to ensure synthesized audio is indistinguishable from real human speech. The toolkit provides capabilities for neural speech synthesis, text-to-audio generation, and the training of custom v

    Automatically learns the alignment and duration between text characters and audio frames without external tools.

    Pythondeep-learningpytorchspeech-synthesis
    Vezi pe GitHub↗7,862
  • hotwired/turboAvatar hotwired

    hotwired/turbo

    7,343Vezi pe GitHub↗

    Hotwire Turbo is a server-driven navigation and HTML streaming framework that intercepts link clicks and form submissions to fetch pages in the background and replace content without full browser reloads. It provides a Turbo Frame component that scopes page regions into independent contexts, enabling partial page updates where only a specific area of the page navigates or loads content. The framework includes a page cache and morph system that stores recently visited pages for instant restoration and applies minimal DOM changes on refresh, preserving scroll position and element state. The fra

    Loads frame content by fetching a parent page and extracting the target nested frame.

    JavaScript
    Vezi pe GitHub↗7,343
  • worldveil/dejavuAvatar worldveil

    worldveil/dejavu

    6,764Vezi pe GitHub↗

    Dejavu is a Python audio fingerprinting library and recognition engine. It functions as a digital audio signature tool used to analyze sound waves and create unique identifiers for the purposes of audio search and retrieval. The project enables automatic music identification by matching live audio feeds or recorded clips against a database of fingerprints. It covers audio content matching and digital audio archiving to identify original source recordings from a stored collection. The system incorporates capabilities for generating audio fingerprints, identifying audio tracks, and recognizing

    Validates candidate matches by ensuring the temporal distance between fingerprints is consistent across the recording.

    Python
    Vezi pe GitHub↗6,764
  • ardour/ardourAvatar Ardour

    Ardour/ardour

    5,057Vezi pe GitHub↗

    Ardour este o stație de lucru audio digitală (DAW), mixer audio multitrack și sequencer MIDI. Funcționează ca un editor audio non-liniar și un host de plugin-uri pentru rularea efectelor și instrumentelor terțe. Sistemul oferă capabilități specializate pentru post-producția audio prin sincronizarea cadrelor video, precum și secvențierea pentru performanțe live pentru declanșarea clipurilor și modelelor în timp real. De asemenea, suportă mixarea tactilă prin maparea suprafețelor de control și configurarea controllerelor hardware. Software-ul acoperă o gamă largă de nevoi de producție audio, inclusiv înregistrare multitrack, secvențiere și compoziție MIDI, mixare profesională și export audio multicanal. Framework-ul său de procesare include suport pentru plugin-uri standard în industrie și un sistem de rutare a semnalului de tip matrice.

    Provides precise temporal alignment of audio segments with corresponding video frames for post-production scoring.

    C++audioc-plus-plusdaw
    Vezi pe GitHub↗5,057
  • plachtaa/vits-fast-fine-tuningAvatar Plachtaa

    Plachtaa/VITS-fast-fine-tuning

    5,016Vezi pe GitHub↗

    VITS-fast-fine-tuning este un pipeline pentru adaptarea modelelor de sinteză vocală la voci țintă specifice folosind seturi mici de date audio. Funcționează ca un instrument de adaptare rapidă a vorbitorului și un sintetizator vocal multilingv capabil să genereze audio vorbit în diferite limbi. Sistemul oferă un framework pentru conversia vocală many-to-many, transformând identitatea unui vorbitor în alta, păstrând în același timp conținutul lingvistic original. Permite adaptarea unei voci pentru text-to-speech prin fine-tuning-ul unui model pre-antrenat cu clipuri audio sau surse video. Proiectul acoperă sinteza vocală end-to-end și procesarea audio, utilizând generarea de forme de undă adversariale și căutarea alinierii monotonice pentru a produce audio de înaltă fidelitate. Încorporează un predictor de durată stocastic pentru a gestiona variațiile în ritmul vorbirii și suportă transferul de modele pre-antrenate.

    Automatically learns the mapping between text characters and audio frames during the training process.

    Python
    Vezi pe GitHub↗5,016
  • hpjansson/chafaAvatar hpjansson

    hpjansson/chafa

    4,264Vezi pe GitHub↗

    Chafa is a terminal graphics library that converts images and animated GIFs into character art for display in terminal emulators. It supports multiple output formats including ANSI escape sequences, Sixel graphics, and Unicode block characters, making it a versatile tool for rendering images directly within the terminal environment. The library is built as a shared C library with official bindings for Python and JavaScript, allowing developers to integrate terminal image rendering capabilities into applications across different programming environments. Chafa handles the full pipeline from im

    Assigns a single frame of pixel data as the content of an image object.

    Cansicligraphics
    Vezi pe GitHub↗4,264
  • gpac/gpacAvatar gpac

    gpac/gpac

    3,205Vezi pe GitHub↗

    GPAC is an open-source multimedia framework built around a pluggable filter graph pipeline, where modular processing units called filters connect into a directed graph to handle media workflows. At its core, the framework centers all media packaging and manipulation on the ISO Base Media File Format (ISOBMFF), with specialized tools for reading, writing, fragmenting, and encrypting MP4 and related containers. It also provides a declarative scene graph composition system for describing interactive multimedia scenes using MPEG-4 BIFS, X3D, SVG, or VRML syntax, alongside a hardware-accelerated re

    Compares key-frame intervals and sync sample positions across files to detect misalignment before DASH packaging.

    Catsc3broadcastcenc
    Vezi pe GitHub↗3,205
  • intro-skipper/intro-skipperAvatar intro-skipper

    intro-skipper/intro-skipper

    2,469Vezi pe GitHub↗

    Intro Skipper is a media server plugin and automated playback utility designed to identify and bypass television opening sequences. It functions as an automated content sequence skipper that detects repeated introduction segments in video files to improve viewing efficiency. The tool employs audio fingerprinting to analyze audio patterns during playback, comparing waveforms against known templates to trigger skip events. It allows for the management of playback preferences across multiple client devices to determine how these opening sequences are handled. The project covers automated media

    Analyzes time-stamped audio data to determine precise skip intervals for media files.

    C#jellyfinjellyfin-mediasegment-providerjellyfin-plugin
    Vezi pe GitHub↗2,469
  1. Home
  2. Graphics & Multimedia
  3. Image Processing & Editing
  4. Image Processing
  5. Frame Extractors

Explorează sub-etichetele

  • Frame Content Setters1 sub-tagAssigns a single frame of pixel data as the content of an image object. **Distinct from Frame Extractors:** Distinct from Frame Extractors: focuses on setting frame content into an image object, not extracting frames from a source.
  • Temporal Frame Alignment2 sub-tag-uriProcesses individual video frames to ensure precise temporal synchronization with corresponding audio segments. **Distinct from Frame Extractors:** Focuses on the temporal alignment of frames to audio, rather than just sampling or extracting frames.