Open Source Python Video Software - Page 15
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Python Video Software
View 248 business solutionsBrowse free open source Python Video Software and projects below. Use the toggles on the left to filter open source Python Video Software by OS, license, language, programming language, and project status.
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Telegram WebRTC (VoIP)
Voice chats, private incoming and outgoing calls in Telegram
Telegram WebRTC (VoIP) is a Python and C++ library that enables real-time voice and video communication features for Telegram bots and clients. It provides an interface for joining, managing, and streaming audio or video in Telegram group calls and voice chats. The library is built on top of low-level communication protocols, ensuring efficient handling of real-time media streams. It supports integration with FFmpeg and other tools for processing audio and video before transmission. tgcalls allows developers to create bots that can play music, stream content, or interact with live voice channels programmatically. It also supports cross-platform usage and integration into larger automation systems. Overall, it serves as a powerful toolkit for building real-time communication features within Telegram ecosystems. -
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ThisisMyPlayer
Lightweight, elegant and simple media player powered by mpv.
ThisisMyPlayer is a bloat-free, resource-friendly media player built with Python 3 and PyQt6, utilizing the powerful mpv core library directly without relying on the standalone mpv player interface. . Features include: Direct embedded libmpv playback with X11/XWayland hardware acceleration. Automatic dynamic audio normalization filter (lavfi dynaudnorm). Eye-friendly custom subtitle styling and automated encoding fixes. Minimalist playlist support and smart auto-hiding controls in fullscreen. Native multi-language support (i18n via gettext). Github page: https://github.com/shampuan/ThisisMyPlayer My other apps: https://sourceforge.net/u/shampuan/profile -
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Tivo 4 Tiny is a Linux desktop app that fetches recordings from a Tivo on your home network, and lets you save them or take them with you -- it can auto-convert shows to fit your phone, iPod or BlackBerry. It's like Tivo Desktop for Linux.
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A python library and commandline tool for downloading shows from your Tivo. Does not require a hacked tivo. Combined with Tivodecode, it can decrypt the shows as well. I would recommend transcoding them after the fact with something like Handbrake for greater device compatibility.
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Transana is a cross-platform tool for the transcription and qualitative analysis of audio and video data. It also provides the ability to identify and organize analytically interesting portions of videos, as well as attach keywords to those video clips.
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Python tunnel that divides a connection over a number of intermediate tunnels and recombines it on the other side. Features include bandwidth aggregation, auto-reconnect, prioritization by percentage/preemption, tunnel groups, and bandwidth limiting.
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A clean and easy way to automatically convert a movie-file into an iTunes/iPhone friendly format, then importing it to iTunes and tagging it with accurate information.
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Twspace-dl
A python module to download twitter spaces
Twspace-dl is a Python-based tool designed to download audio content from Twitter Spaces, enabling users to archive live or recorded sessions locally. It works by extracting streaming URLs and processing them with FFmpeg to generate downloadable audio files. The tool supports both command-line and graphical interfaces, making it accessible to different types of users. It requires authentication via exported cookies due to API restrictions, ensuring access to protected content. twspace-dl also includes options for saving metadata, playlists, and cover art associated with the stream. It can handle both live and ended Spaces, providing flexibility in content retrieval. Overall, it offers a practical solution for capturing and preserving audio from social media streams. -
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Ultimate Media Downloader
An Open source media downloader for downloading videos and audios
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 -
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Upscale
This program is upscaling any image by a factor 2 using an algorithm
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. -
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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.
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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.
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VSGAN
VapourSynth Single Image Super-Resolution Generative Adversarial
Single Image Super-Resolution Generative Adversarial Network (GAN) which uses the VapourSynth processing framework to handle input and output image data. Transform, Filter, or Enhance your input video, or the VSGAN result with VapourSynth, a Script-based NLE. You can chain models or re-run the model twice-over (or more). Have low VRAM? Don’t worry! The Network will be applied in quadrants of the image to reduce up-front VRAM usage. You can use any RGB video input, including float32 (e.g., RGBS) inputs. Using VapourSynth you can pass a Video directly to VSGAN, without any frame extraction needed. Any edit you make in the VapourSynth script with or without VSGAN can be re-used for any other video. VSGAN is released under the MIT License, ensuring it will stay free, with the ability to be used commercially. -
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ViAmI-Server
Pattern recognition for ADL events
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. -
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Video Clips Merger 2-6B8 (P.F+ Rev2B)
Video Clips Merger 2-6B8 (Perfected.Further+ Revised 2B)
'Video Clips Merger' is an desktop application developed using python 3.6.8 and other add-on libaries. Can combine extracted clips into one video file. Compatible only for windows OS. -
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Video Clips Rotator [I.S.A]
Video Clips Rotator [Improved.Simplified.Alternative]
'Video Clips: Rotator' is an desktop application developed using python 3.6.8 and other add-on libaries. Rotates video files to requested angle (eg:360°). Compatible only for windows OS. -
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Video DeDup
Find duplicate videos by content
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. -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance. -
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Video Pre-Training
Learning to Act by Watching Unlabeled Online Videos
The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction. The repository contains demonstration models of different widths, fine-tuned variants (e.g. for building houses or early-game tasks), and inference scripts that instantiate agents from pretrained weights. Key modules include the behavioral cloning logic, the agent wrapper, and data loading pipelines (with an accessible skeleton for loading Minecraft demonstration data). The repo also includes a run_agent.py script for testing an agent interactively, and an agent.py module encapsulating the control logic. -
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A python-based frontend for the popular MythTV PVR. This frontend runs on xboxmediacenter on the XBOX
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