Open Source Python Multimedia Software - Page 42

LinuxPlay is a multimedia playback project designed to provide a lightweight media player for Linux environments with support for common audio and video formats. It focuses on implementing playback functionality using FFmpeg and native Linux APIs to ensure efficient decoding and rendering. The project demonstrates how to build a media player from scratch, including handling audio-video synchronization and playback controls. It supports local file playback and may include streaming capabilities depending on configuration. LinuxPlay is structured as both a functional tool and a learning resource for developers interested in multimedia systems. Its design emphasizes simplicity and performance, avoiding unnecessary dependencies. Overall, it serves as a practical example of media player implementation on Linux.

Liquid multimedia is a one stop shop for all of your tv / movie playing needs. Built around the django framework with a python backend liquid multimedia is a very powerful utility for any media enthusiast.

A client/server media management solution built with mysql/python supports scanning directories and using online resources to parse and store TV and Movie details (Series/Season/Episode#/Title/Synopsis).

Listen 1 Desktop is a cross-platform music player focused on bringing multiple Chinese music services into one desktop app. It lets users search and play songs from several major platforms, making the music library feel more complete from one interface. Supported services include NetEase Cloud Music, QQ Music, Kugou, Kuwo, Bilibili, Migu Music, and Qianqian Music. The app includes a favorites function so users can build and manage their own playlists. It supports Windows, macOS, and Linux, making it accessible across common desktop systems. The project is useful for listeners who want one lightweight player instead of switching between several music platforms.

Listen is a Music player and management for GNOME This site is not up to date, please see http://www.listen-project.org/

If you want to do a drawing, you want a drawing program. If you want to write text, you want a text editor. If you want to show them, you want Liveshow Realtime Media Presenter.

Live graphical user interface, coding in runtime with python.

LiveAPI is an Open Source project that allows remote access to Ableton Live's user-interface API.

LiveAvatar is an open-source research and implementation project that provides a unified framework for real-time, streaming, interactive avatar video generation driven by audio and other control signals. It implements techniques from state-of-the-art diffusion-based avatar modeling to support infinite-length continuous video generation with low latency, enabling interactive AI avatars that maintain continuity and realism over extended sessions. The project co-designs algorithms and system optimizations, such as block-wise autoregressive processing and fast sampling strategies, to deliver real-time frame rates (e.g., ~45 FPS on appropriate GPU clusters) while handling non-stop generation without quality degradation. LiveAvatar focuses on delivering not just high-quality visuals but also the responsiveness necessary for immersive conversational experiences, making it suitable for advanced AI agents, virtual assistants, and interactive streaming contexts.

LiveFrame Gallery is an easily customized, web-based album and slideshow for sets of photographs. LiveFrame Lab is a jpeg processor that scales, rotates and captions images, and outputs LiveFrame Gallery directories and configuration files.

A musician's live performance VST host. This software is intended to help integrate VST technology into your live performances on stage, whether it'd be using virtual instruments or effects, or to automate audio routing.

Remote access to Ableton Live's Python API framework. Currently supporting telnet, access, UDP linewire, Open Sound Control, example code and API provided. Written in Python.

LiveRecorder is an automated live stream recording tool designed to monitor and capture broadcasts from multiple streaming platforms without manual intervention. It continuously checks specified channels and begins recording automatically when a stream goes live, enabling hands-free archiving of content. The system supports a wide range of platforms including popular global and regional streaming services, making it versatile for different use cases. It relies on tools like Streamlink and FFmpeg to handle stream extraction and recording, ensuring compatibility with various formats. LiveRecorder is built for long-running operation, allowing users to track multiple streams simultaneously over extended periods. It includes configuration options for output formats, storage paths, and monitoring intervals. Overall, it provides a reliable and automated solution for recording live streaming content at scale.

Proyecto para la IV Edición del Desafío Tecnológico planteado en la ETSIIT de la Universidad de Granada. Nuestro grupo propone una solución para que padres puedan ver en tiempo real a sus hijos mientras se encuentran Centros Infantiles. Nuestro producto se diferencia de otros en el que el cambio de cámara es automático, realizando para ello una triangulación de los niños.

This software provides video-on-demand servers which work cooperatively with each server and client.

Lora Youtube Player is a simple gtk application to manage YouTube video's playlists and play YouTube videos.

Lsongs is an All-in-one media player which lets you rip, play, burn and share your digital music collection in a seamless fashion. It is very intuitive and easy and even the biggest newbie will find it easy it is to manage his own music collection.

Lyricsgrabber is a very simple python script which searches lyrics for MP3s and embeds them in their tags.

MEncoder wrapper to encode video to play on a Meizu M6 miniPlayer

Media Center Extender for Boxee is a native application that displays TV Guide Listings and RecordedTV from a Windows Media Center PC. This version requires Remote Potato to be installed on the WMC Host.

Downloads videos with Yt-Dlp then converts them with ffmpeg. You can also just download videos in batch or select a folder with videos to convert.

MIPPY is a minimalistic DICOM image browser with built-in image processing modules. Its modular design means it can be extended with any number of user-created modules for image processing and analysis.

MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).

OpenMMLab's next generation video understanding toolbox and benchmark. MMAction2 is an open-source toolbox for video understanding based on PyTorch. It is a part of the OpenMMLab project. Modular design: We decompose a video understanding framework into different components. One can easily construct a customized video understanding framework by combining different modules. Support four major video understanding tasks: MMAction2 implements various algorithms for multiple video understanding tasks, including action recognition, action localization, Spatio-temporal action detection, and skeleton-based action detection. We support 27 different algorithms and 20 different datasets for the four major tasks. We provide detailed documentation and API reference, as well as unit tests. We support Multigrid on Kinetics400, achieve 76.07% Top-1 accuracy and accelerate training speed.

MMClassification is an open-source image classification toolbox based on PyTorch. It is a part of the OpenMMLab project. Supports DenseNet, VAN and PoolFormer, and provide pre-trained models. Supports training on IPU. Supports a series of CSP networks, such as CSP-ResNet, CSP-ResNeXt and CSP-DarkNet. MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedback. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to re-implement existing methods and develop their own new classifiers. MMClassification mainly uses python files as configs. The design of our configuration file system integrates modularity and inheritance, facilitating users to conduct various experiments.