Open Source Python Multimedia Software - Page 63

UPnP-Music-Server. It serves a sqlite-database of your mp3 music collection to a upnp-client. I tested it with Noxon from Terratec. Written in Python. I no longer work on this project since I do not have access to the hardware any more.

Ultimate Media Downloader (UMD) is a professional-grade, open-source command-line tool that consolidates media downloading across 1000+ platforms into a single, intuitive interface. Built with Python and powered by industry-standard extraction engines, it delivers enterprise-level capabilities with consumer-friendly simplicity. Whether you're downloading a single YouTube video, extracting audio from Spotify playlists, archiving TikTok content, or batch-processing entire music libraries, UMD handles it all with elegance and efficiency. IT CONSISTS OF : 1. Unified Interface: One command, 1000+ platforms. No tool shopping, no mental model switching. 2. Production-Ready, Zero Friction Installation: Most users go from hearing about the tool to downloading content in under 5 minutes. 3. Active Maintenance: Codeberg hosting (after GitHub suspension) demonstrates commitment to long-term availability

VLC based IPTV player

UIMP(Unified Image Manipulation Program) is an OS independent Image Processing system, which provides over 1000 algorithms and supports web online, console and GUI program.

A Maya plugin-in which allows you to bake particle instances into geometry, animation, and blendshapes that can be modified and updated without messing around with dynamics and expressions.

Universal Color Picker is project aimed to create a color picker and pallet making tool for artist. UCP allow user to pick color from whole window (not bounded by the boundaries of software). Currently this software is windows only. Note: Executable is made using pyinstaller on windows

A general purpose passthrough import graphics filter compatible with Microsoft Word 97 or 2003, allows the ability to paste graphics of potentially any format into a Word document. Compiles with Microsoft Visual C++ 6 or above.

WE ARE NO LONGER USING SOURCEFORGE. Please visit http://www.upstage.org.nz for the most up-to-date code (v3 to be released january 2014, beta version available November 2013) and information. UpStage is a web-based venue for cyberformance: artists compile digital media in real time to create live theatrical performance for online audiences.

This program is upscaling any image by a factor 2 using an algorithm of cubic interpolation. You may need to install the following libraries to run the program, tqdm, itertools, and OpenCV.

Uzoo is a platform/UI independent clone for SoriBada which is the overwhelming killer-app for sharing mp3 files in Korea. This project will implement opensource protocol libraries, GUI applications for many platforms including Cocoa(Aqua), Curses, Qt.

VCD Commander aims to produce (S)VCD image (and video) disks with minimal user intervention. Simply arrange the files into directories - VCD Commander will recurse the subdirectories and build menu structures to reflect this.

A Python library for the Video Disk Recorder ('VDR') project(http://www.cadsoft.de/people/kls/vdr/).

VGGSfM is an advanced structure-from-motion (SfM) framework jointly developed by Meta AI Research (GenAI) and the University of Oxford’s Visual Geometry Group (VGG). It reconstructs 3D geometry, dense depth, and camera poses directly from unordered or sequential images and videos. The system combines learned feature matching and geometric optimization to generate high-quality camera calibrations, sparse/dense point clouds, and depth maps in standard COLMAP format. Version 2.0 adds support for dynamic scene handling, dense point cloud export, video-based reconstruction (1000+ frames), and integration with Gaussian Splatting pipelines. It leverages tools like PyCOLMAP, poselib, LightGlue, and PyTorch3D for feature matching, pose estimation, and visualization. With minimal configuration, users can process single scenes or full video sequences, apply motion masks to exclude moving objects, and train neural radiance or splatting models directly from reconstructed outputs.

VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk

This project is an initial reference implementation of the VSI-E protocol. The implementation has been done using the C/C++ language and is in the form of a re-useable library developed on the Linux platform.

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.

VR Juggler is a virtual platform for virtual reality application development created at the Virtual Reality Applications Center at Iowa State University. Applications developed in VR Juggler can transparently move between a wide range of VR systems.

The VR Juggler Toolbox is a collection of libraries and tools for use with VR Juggler applications.

An image-masking application which revolves around the new user-friendly and interactive use of the standard 'magic wand' tool. Features an extensive preview system, interactive parameter adjustment and a node-based structure.

Venom is a small framework for writing 3d games and applications.

This software uses computer vision algorithms for mining sequence data from telemonitoring data with CBRs. We propose an approach which treats the detection of changes in behavior detected with a sensor/video fusion, which occur at radically different time-scales, through a CBR in two levels: low and high level. The system is always updating the database with the daily data.

Python framework for video processing and content analysis using CUDA for acceleration.

VidGear is a high-performance Python framework that provides a unified and extensible solution for building real-time video processing applications. It acts as an abstraction layer over powerful multimedia libraries such as OpenCV, FFmpeg, and ZeroMQ, simplifying complex workflows into concise and efficient APIs. The framework is built around modular components called “gears,” each responsible for tasks such as video capture, streaming, encoding, and network transmission. It supports multi-threaded and asynchronous operations, enabling low-latency processing and efficient handling of high-throughput video streams. VidGear is designed to handle a wide range of use cases, including live streaming, video stabilization, screencasting, and distributed video systems. Its emphasis on simplicity allows developers to implement advanced multimedia pipelines with minimal code while maintaining performance and flexibility.

'Video Cropper' an desktop application developed using python 3.6.8 and other add-on libaries. Crops video file into external video file. Compatible only for windows OS.

VIDEO DeDup Find duplicate videos by content. Parse a video directory to create one image every n seconds, then identify duplicate images and show possible video duplicates for manual analysis. . 1f_parse scan video source folder, replicate with ffmpeg an image folder, then for each image create a fingerprint. . CompareV2 perform the fingerprints comparison and works in memory with constant memory usage. It is folder agnostic and parse fingerprints ordered by source file name. Since 201906 in free Pascal for x3 speed and less memory usage in multi-threading. . 3h_analyse is folder agnostic by first loading in memory current source and image folder. Then a lot of options and cache mechanism enable to get correct performance. At the end all duplicates are copied in an analysed folder. . To finalise you'll have to look at analysed folder to make your decisions : remove duplicate, flag some images as irrelevent or flag pair of videos as NOT dupes.