12 रिपॉजिटरी
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.
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.
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.
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.
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.
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.
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.
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.
Ardour एक डिजिटल ऑडियो वर्कस्टेशन, मल्टीट्रैक ऑडियो मिक्सर और MIDI सीक्वेंसर है। यह एक नॉन-लीनियर ऑडियो एडिटर और थर्ड-पार्टी इफेक्ट्स व इंस्ट्रूमेंट्स चलाने के लिए एक प्लगइन होस्ट के रूप में कार्य करता है। यह सिस्टम वीडियो फ्रेम सिंक्रोनाइज़ेशन के माध्यम से पोस्ट-प्रोडक्शन ऑडियो स्कोरिंग के लिए विशेष क्षमताएं प्रदान करता है, साथ ही रीयल-टाइम में क्लिप और पैटर्न को ट्रिगर करने के लिए लाइव परफॉरमेंस सीक्वेंसिंग भी प्रदान करता है। यह कंट्रोल सरफेस मैपिंग और हार्डवेयर कंट्रोलर कॉन्फ़िगरेशन के माध्यम से टैक्टाइल मिक्सिंग का भी समर्थन करता है। सॉफ्टवेयर मल्टीट्रैक रिकॉर्डिंग, MIDI सीक्वेंसिंग और कंपोजिशन, प्रोफेशनल मिक्सिंग और मल्टीचैनल ऑडियो एक्सपोर्ट सहित ऑडियो प्रोडक्शन की जरूरतों की एक विस्तृत श्रृंखला को कवर करता है।
Provides precise temporal alignment of audio segments with corresponding video frames for post-production scoring.
VITS-fast-fine-tuning छोटे ऑडियो डेटासेट का उपयोग करके विशिष्ट टारगेट आवाज़ों के लिए स्पीच सिंथेसिस मॉडल्स को अनुकूलित करने के लिए एक पाइपलाइन है। यह एक तेज़ स्पीकर अनुकूलन टूल और एक बहुभाषी स्पीच सिंथेसाइज़र के रूप में कार्य करता है जो विभिन्न भाषाओं में बोले गए ऑडियो को जनरेट करने में सक्षम है। यह सिस्टम मेनी-टू-मेनी वॉयस कन्वर्ज़न के लिए एक फ़्रेमवर्क प्रदान करता है, जो मूल भाषाई सामग्री को संरक्षित करते हुए एक स्पीकर की पहचान को दूसरे में बदल देता है। यह ऑडियो क्लिप्स या वीडियो स्रोतों के साथ एक प्री-ट्रेंड मॉडल को फ़ाइन-ट्यून करके टेक्स्ट-टू-स्पीच के लिए आवाज़ के अनुकूलन की अनुमति देता है। यह प्रोजेक्ट एंड-टू-एंड स्पीच सिंथेसिस और ऑडियो प्रोसेसिंग को कवर करता है, जो उच्च-निष्ठा (high-fidelity) ऑडियो उत्पन्न करने के लिए एडवरसैरियल वेवफ़ॉर्म जनरेशन और मोनोटोनिक अलाइनमेंट सर्च का उपयोग करता है। यह बोलने की लय में विविधताओं को प्रबंधित करने के लिए एक स्टोकेस्टिक ड्यूरेशन प्रेडिक्टर को शामिल करता है और प्री-ट्रेंड मॉडल ट्रांसफर का समर्थन करता है।
Automatically learns the mapping between text characters and audio frames during the training process.
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.
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.
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.