Open Source Linux Multimedia Software - Page 60
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Multimedia Software for Linux
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PwshPaint
A PowerShell Module for drawing pixelated art in the terminal
PwshPaint is a fun and quirky pixel art drawing program made entirely in PowerShell, showcasing the flexibility of the scripting language. It provides a simple terminal-based interface for drawing and editing pixel art directly from the PowerShell console, making it a creative way to explore programming concepts or amuse fellow devs. -
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QtAV
A cross-platform multimedia framework based on Qt and FFmpeg
QtAV is a cross-platform multimedia framework built on top of Qt and FFmpeg that enables developers to create high-performance audio and video applications with minimal effort. It provides a flexible API for decoding, encoding, and rendering media streams, supporting a wide variety of formats through FFmpeg integration. The framework supports hardware acceleration technologies such as DXVA, VAAPI, and CUDA, ensuring efficient playback even for high-resolution or complex video formats. QtAV includes features like subtitle handling, video filters, frame-by-frame playback, and customizable rendering pipelines using OpenGL and other backends. It integrates seamlessly with Qt Widgets and QML, allowing developers to build modern user interfaces while maintaining performance. Designed to be extensible, it allows custom decoders, renderers, and filters, making it suitable for both media players and advanced multimedia processing tools. -
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React Color
Color pickers from Sketch, Photoshop, Chrome, Github, and Twitter
13 different pickers, for Sketch, Photoshop, Chrome and many more. Make your own, use the building block components to make your own. Color controls what color is active on the color picker. You can use this to initialize the color picker with a particular color, or to keep it in sync with the state of a parent component. Pass a function to call every time the color is changed. Use this to store the color in the state of a parent component or to make other transformations. Pass a function to call once a color change is complete. To make a custom color picker, create a top-level component that will act as the bridge with the CustomPicker high order component. Wrap the export with the CustomPicker function. Every color picker provided is made up of a collection of helper components. Those components are accessible for you to use to make a custom color picker. Use EditableInput to display an input / label that acts as the single source of truth until the input is blurred. -
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React Diagrams
Super simple, no-nonsense diagramming library written in react
A flow & process orientated diagramming library inspired by Blender, Labview and Unreal engine. Modern Codebase written entirely in Typescript and React, the library makes use of powerful generics, advanced software engineering principles and is broken up into multiple modules. Hackable and extensible the entire library including its core can be extended, rewired and re-assembled into fundamentally different software to suit your own software needs. HTML nodes as a first-class citizen the library was originally written to represent advanced dynamic nodes, that are difficult to represent as SVG's due to complex input requirements ux requirements. Designed for process the library is aimed for software engineers that want to rewire their programs at runtime, and that want to make their software more dynamic. Fast diagram editing the defaults provided give the highest priority to editing diagrams as fast as possible. -
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Relativty
An open source VR headset with SteamVR supports for $200
Relativty is not a consumer product. We made Relativty in my bedroom with a soldering iron and a 3D printer and we expect you to do the same, build it yourself. We started Relativty because after watching Sword Art Online we wanted to make our own VR games. Thus Relativty supports SteamVR games and can be modified to add support for any DIY or off-the-shelf VR device. The room-scaling AI can be used with any camera, it tracks your body based on video input. Precision and freedom of movement are still very far from dedicated sensors, however, we believe that the model can be trained and improved by orders of magnitude. We designed an affordable motherboard that runs the Relativty Firmware, it is based on the Atmel SAM3X8E ARM Cortex-M3 processor and uses an MPU-6050 as it’s IMU. The naked PCB and the components to solder on, cost in total about 25 dollars. -
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SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
SCAIL is a project developed by the ZAI Organization, focusing on AI-driven research initiatives. While specific documentation about SCAIL’s exact goals and implementation is limited from the repository context alone, the project appears to be part of a collection of machine learning and AI research tools that facilitate scalable model development, evaluation, or application workflows. Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL likely emphasizes scalable, composable AI learning frameworks that support researchers and practitioners in experimenting with learning algorithms, datasets, and model components. The repository structure suggests a focus on flexibility and extensibility, with potential integration into other ZAI tooling for training or analysis. -
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Segmentation Models
Segmentation models with pretrained backbones. PyTorch
Segmentation models with pre trained backbones. High-level API (just two lines to create a neural network) 9 models architectures for binary and multi class segmentation (including legendary Unet) 124 available encoders (and 500+ encoders from timm) All encoders have pre-trained weights for faster and better convergence. Popular metrics and losses for training routines. All encoders have pretrained weights. Preparing your data the same way as during weights pre-training may give you better results (higher metric score and faster convergence). It is not necessary in case you train the whole model, not only the decoder. Pytorch Image Models (a.k.a. timm) has a lot of pretrained models and interface which allows using these models as encoders in smp, however, not all models are supported. Input channels parameter allows you to create models, which process tensors with an arbitrary number of channels. -
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Silk.NET
About The high-speed OpenGL, OpenCL bindings library
Spruce up your games and applications with cross-platform 3D graphics, audio, compute and haptics. Fast, free, cross-platform. With an efficient bindings regeneration mechanism, we are committed to ensuring our bindings reflect the latest specifications with monthly updates generated straight from the upstream sources. In addition to providing high-speed, direct, and transparent bindings, we provide high-level utilities and wrappers to maximize productivity in common workloads such as platform-agnostic abstractions around Windowing and Input, bringing your apps to a vast number of platforms without changing a single line! Silk.NET caters for anything you could need in swift development of multimedia, graphics, compute applications. Silk.NET is an all-in-one solution, complete with Graphics, Compute, Audio, Input, and Windowing. -
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Simula
Linux VR Desktop
Simula is a virtual reality (VR) window manager and desktop environment for Linux, built atop the Godot engine. It provides a VR-based Linux desktop experience, enabling productive workflows in AR/VR with immersive window management. A common objection to the viability of VR Desktop is that it exhibits poor text quality; however, with our low pass filter, Simula has taken special care to make text quality as clear as possible. The left image is a VR terminal without our filter applied; the right is the same image with our filter applied. Compared to other VR Desktops, Simula allows for longer sessions without uncomfortable eye strain. In Simula, VR Windows become “active” once you look at them. Active windows receive (i) typing events from the keyboard and (ii) cursor events from any mouse movement. -
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Sketch Map Generator 4
Sketch plugin to fill a shape with a map generated from given location
Design beautiful map interfaces, mobile applications and more in less time with Map Generator. Now powered by Google and Mapbox. You will need to provide your own Google Maps API Key or your own Mapbox tokens so that the plugin can work properly. If you already use this plugin please backup your Google API Key, Mapbox tokens and map settings. The plugin will try to use the data you have saved but if something unexpected happens, it is better to have that data at hand. Generate maps with Google Maps, generate maps with Mapbox. If you use Mapbox, now you can use your own custom styles. Map preview! Now you can see a live preview before generating a map. You can move the map preview, drag a pin to pick a location and change the zoom with no effort. Snazzy styles support. A beautiful whole new UI, dark mode support, an improved user experience. -
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SkiaSharp
SkiaSharp is a cross-platform 2D graphics API for .NET platforms
SkiaSharp is a cross-platform 2D graphics API for .NET platforms based on Google's Skia Graphics Library. It provides a comprehensive 2D API that can be used across mobile, server and desktop models to render images. Building SkiaSharp is mostly straight forward. The main issue is the multiple dependencies for each platform. However, these are easy to install as they are found on the various websites. If you are just working on managed code, it is even easier as there mays to skip all the native builds. Because there are multiple distros of Linux, and we cannot possibly support them all, we have a separate NuGet package that will contain the supported binaries for a few distros. -
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Skija
Java bindings for Skia
Skija is a high-performance, Java bindings library for the Skia graphics engine, allowing JVM and Kotlin applications to access the full capabilities of Skia’s 2D GPU-accelerated graphics without writing native code. Skia is the same graphics engine used in Chrome, Android, Flutter, and other platforms, and Skija leverages this robust foundation to provide fast rendering of paths, text, images, transformations, filters, and animations within desktop and embedded Java environments. The project focuses on delivering idiomatic Java/Kotlin APIs that map cleanly to Skia primitives, giving developers a powerful tool for building custom graphics, charting, GUIs, games, and visual effects with minimal overhead. Because Skija runs on top of native Skia libraries via JNI, it delivers performance suitable for real-time interactive applications, high-resolution rendering, and complex vector artwork. -
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SmartYouTubeTV
Watch YouTube videos on your TV and set-top-box with comfort
SmartTubeLegacy is an alternative YouTube client designed for Android TV devices, focusing on providing a cleaner and more customizable viewing experience. It removes ads and unnecessary distractions, allowing users to focus on content without interruptions. The application includes advanced playback features such as background play, customizable controls, and improved navigation. It is optimized for TV interfaces, ensuring smooth performance and usability with remote controls. The project also supports user preferences, enabling customization of the interface and playback behavior. It is particularly popular among users who want a more streamlined and user-controlled YouTube experience. Overall, SmartTubeLegacy enhances the default YouTube experience by prioritizing usability, customization, and performance. -
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SpotSeekBot
spotify music downloader telegram bot (tracks, albums, playlists)
SpotSeekBot is a Discord music bot designed to stream and control Spotify-based playback within voice channels. It allows users to search for tracks, play songs, and manage queues directly through chat commands. The bot integrates with Spotify APIs to retrieve track information and playlists while using external sources for actual audio playback. It supports common playback controls such as pause, skip, and seek, enabling interactive music sessions in real time. The system is designed to handle multiple users and maintain queue consistency during playback. It also includes configuration options for customizing behavior and command handling. Overall, it provides a convenient way to bring Spotify-based music experiences into Discord environments. -
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Standing Wave 3
Flash ActionScript3 dynamic audio library
Standing Wave 3 is an ActionScript 3 audio library that provides high-level control over the Flash Player’s SampleDataEvent API for streaming audio output. It builds on the foundation of Standing Wave 2 but has been extensively refactored, with its core sample storage and manipulation routines rewritten using Adobe Alchemy for significant performance improvements. Originally derived from the audio engine used in the Noteflight Score Editor, the library allows developers to combine and chain together audio sources, filters, and sequences to create dynamic, real-time sound experiences. Supported audio sources include MP3s, WAV files, and algorithmic generators, while filters enable effects such as echo, equalization, and envelope shaping. The system is flexible enough to handle complex timing sequences of audio, making it suitable for advanced audio applications or interactive projects. -
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Stargazer
Celebrate with a video of your stargazers
Stargazer is a template project for creating celebratory videos when a GitHub repository reaches a star milestone. It uses Remotion to generate a video featuring the people who starred a repository. Users can create the video locally by providing a GitHub token, installing dependencies, previewing the composition, and rendering the final output. The project also supports a GitHub Actions workflow for generating the video without running everything on a local machine. It is designed as a fun open-source community artifact rather than a general video editor. Stargazer is useful for maintainers who want to thank supporters, share milestones, and create social content around repository growth. -
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Stremio Core
Types, addon system, UI models, core logic
Stremio Core is the Rust engine that powers Stremio’s apps by centralizing all reusable logic behind discovery, catalogs, metadata, streams, add-ons, and user/library state. It exposes a clean set of modules—types, addon_transport, and state_types—so apps can talk to add-ons, model UI state, and react to events without duplicating code. The architecture is inspired by Elm: immutable state, message-driven updates, and explicit side-effects (“effects”) keep behavior predictable and testable. An environment abstraction lets hosts provide implementations for things like storage, networking, and timers, making the core portable to desktop, mobile, and web. The project targets WebAssembly as well, so the same Rust logic can run inside the browser via a small bridge layer. -
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Surface Defect Detection Dataset Papers
Constantly summarizing open source dataset and critical papers
At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery manufacturing, semiconductors and electronics, chemical, pharmaceutical, aerospace, light industry and other industries. Traditional surface defect detection methods based on machine vision often use conventional image processing algorithms or artificially designed features plus classifiers. Generally speaking, imaging schemes are usually designed by using the different properties of the inspected surface or defects. A reasonable imaging scheme helps to obtain images with uniform illumination and clearly reflect the surface defects of the object. In recent years, many defect detection methods based on deep learning have also been widely used in various industrial scenarios. -
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SwiftFFmpeg
A Swift wrapper for the FFmpeg API
SwiftFFmpeg is a Swift wrapper for FFmpeg that provides direct access to multimedia processing capabilities within Apple development environments. It exposes FFmpeg’s libraries through Swift-friendly APIs, enabling developers to perform encoding, decoding, and stream manipulation tasks. The project is designed to maintain performance while improving usability through modern language features. It supports working with media containers, codecs, and frames at a low level, offering fine control over processing pipelines. SwiftFFmpeg integrates seamlessly with iOS, macOS, and other Apple platforms, making it suitable for native app development. It requires FFmpeg libraries to be installed separately, allowing flexibility in configuration. Overall, it bridges FFmpeg functionality with Swift development workflows. -
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TTS
Deep learning for text to speech
TTS is a library for advanced Text-to-Speech generation. It's built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed, and quality. TTS comes with pre-trained models, tools for measuring dataset quality, and is already used in 20+ languages for products and research projects. Released models in PyTorch, Tensorflow and TFLite. Tools to curate Text2Speech datasets underdataset_analysis. Demo server for model testing. Notebooks for extensive model benchmarking. Modular (but not too much) code base enabling easy testing for new ideas. Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech). Speaker Encoder to compute speaker embeddings efficiently. Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN). If you are only interested in synthesizing speech with the released TTS models, installing from PyPI is the easiest option. -
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Twometer VR
Low budget open-source Virtual Reality controllers
TwometerVR is an open-source alternative to commercial VR hand/body tracking systems. It's primarily intended for those who have VR headsets such as the Oculus DK2 that don't include controllers. It is a low-cost alternative to expensive commercial devices such as the PS Move or Oculus Touch system. An open-source alternative to commercial hand trackers such as Oculus Touch or PS Move, because Virtual Reality should not be expensive. Although there is currently no implementation of full-body-tracking, the system is technically fully capable of supporting it. -
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VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM
This repository is a voice activity detection (VAD) toolkit that implements multiple models (DNN, bDNN, LSTM, ACAM) for detecting speech versus non-speech in audio. It also provides a recorded dataset in varied real-world settings (e.g. bus stop, construction site, park, room) with ground truth labeling. Acoustic feature extraction (multi-resolution cochleagram, MRCG). Post-processing modules (e.g. smoothing, thresholds). The toolkit supports both MATLAB and Python/TensorFlow components (for feature extraction, classification, postprocessing). Acoustic feature extraction (multi-resolution cochleagram, MRCG). Provided real-world dataset with manual annotations. -
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VMZ (Video Model Zoo)
VMZ: Model Zoo for Video Modeling
The codebase was designed to help researchers and practitioners quickly reproduce FAIR’s results and leverage robust pre-trained backbones for downstream tasks. It also integrates Gradient Blending, an audio-visual modeling method that fuses modalities effectively (available in the Caffe2 implementation). Although VMZ is now archived and no longer actively maintained, it remains a valuable reference for understanding early large-scale video model training, transfer learning, and multimodal integration strategies that influenced modern architectures like SlowFast and X3D. -
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VR Neuroanatomy
Explore and dissect a complete brain model in VR
Understanding the anatomy of complex organs such as the human brain can be a challenge for students, so there is a definite advantage given to students who can experience the structures in a spatial way through real or virtual experiences. Since 2016, the Marquette Visualization Lab has been utilizing a dataset of 3 and 7 Tesla MRI scans from the Structural Informatics Group at University of Washington to visualize the structures of the brain in their Cave, utilizing the Unity game engine and 10 stereoscopic 3D projectors. Most MRI scans are presented as a volumetric rendering, but this dataset is unique because it was fully labelled and parcellated, allowing lab users to not only view the structures of the brain, but also virtually dissect it in a large scale, collaborative virtual reality environment. This year, in the interest of making the learning experience more mobile and accessible, the visualization was ported to the Oculus Quest. -
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VirtualGraphicTablets
Use android phone or tablet as a digitizer (with screen mirroring)
An experimental project to use an Android phone as a pen display. A 32-bit Java runtime environment is required (the DLL driven by the virtual tablet is only 32-bit)
