Open Source Python Video Software - Page 5
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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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Mkchromecast
Cast macOS and Linux Audio/Video to your Google Cast and Sonos Devices
This is a program to cast audio and video from your macOS, or Linux desktop to your Google Cast devices or Sonos speakers. It is written in Python, and it streams via node.js, ffmpeg, or avconv. Mkchromecast is capable of using lossy and lossless audio formats provided that ffmpeg, avconv (Linux), or parec (Linux) are installed. It also supports Multi-room group playback, and 24-bits/96kHz high audio resolution. Linux users also can configure ALSA to capture audio. -
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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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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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StoryMem
Official code for StoryMem: Multi-shot Long Video Storytelling
StoryMem is a narrative-focused memory accumulation system that lets users build, store, and reference past conversational context or story elements with an AI, effectively enabling the AI to maintain and recall personalized story memories or character arcs over time. Instead of treating each interaction as stateless, it tracks user-defined memory nodes, tags, and story threads so that future interactions can draw on established narrative context like character traits, past events, or ongoing plotlines. This makes it especially valuable for applications like AI-enriched storytelling, long-term role-playing, personal journaling assistants, or persistent game worlds where continuity and coherence matter. StoryMem includes tools to define, edit, and review saved memories, letting users manage what should be retained, forgotten, or emphasized in later conversations. -
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Super-résolution via CNN
Super resolution using a CNN, based on the work of the DGtal team
Super-resolution using a CNN, based on the work of the DGtal team. First of all, an Nvidia graphics card (neither AMD nor Intel integrated) is highly recommended to parallelize the CNN. You will then need to install CUDA. No CUDA = dozens of times slower. This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test batch and lrto the learning rate. Low res images should be located in a "dataset/input" folder, and high res targets in a "dataset/target" folder, where each different quality image has the same name in both folders. -
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Verticals v3
Automated YouTube Shorts pipeline
Verticals v3 is an automated content generation workflow designed to create and process YouTube Shorts videos programmatically. It combines multiple tools and scripts to handle tasks such as downloading source material, editing clips, adding subtitles, and formatting output for vertical video platforms. The pipeline emphasizes automation, allowing users to produce short-form content at scale with minimal manual intervention. It integrates FFmpeg and other media processing tools to handle video transformations, resizing, and encoding. The system also supports adding overlays, captions, and audio enhancements to improve engagement. Designed for creators and developers, it enables repeatable workflows for generating social media content efficiently. Its modular structure allows customization of each stage in the pipeline, making it adaptable to different content strategies. -
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YouTube-8M
Starter code for working with the YouTube-8M dataset
youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured at ICCV 2019), enabling researchers and practitioners to benchmark video classification models on large-scale datasets with over millions of labeled videos. The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference. -
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base64io
A stream implementation for Python that provides transparent base64
A stream implementation for Python that provides transparent base64 encoding and decoding of an underlying stream. This project is designed to develop a class, :class:`base64io.Base64IO`, that implements a streaming interface for Base64 encoding. Python has supported native Base64 encoding since version 2.4. However, there is no streaming interface for Base64 encoding, and none is available from the community. The legacy base64.encode and base64.decode interface lets you shuffle data between two streams, but it assumes that you have two complete streams. We wanted a standard stream that applies Base64 encoding and decoding. :class:`base64io.Base64IO` provides an io streaming interface with context manager support that transparently Base64-encodes data read from it. You can use it to transform large files without caching the entire context in memory or to transform an existing stream. -
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PMS for REGZA
A DLNA-compliant UPnP Media Server
PMS for REGZA is a DLNA-compliant Media Server. As a fork build of well-known "PS3 Media Server", This aims especially to improve functionality on TOSHIBA REGZA TVs With preserving applicabilities to other Renderers. Details: Home Page: http://www32.atwiki.jp/pms_regza -
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Warlock-Studio
AI Suite for upscaling, interpolating & restoring images/videos
v6.0. Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system designed to overcome GPU VRAM limitations. -
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Youtube2mp3 is a cross-platform video downloader and converter that converts YouTube, Google Video, DVDs, and local media files into a wide range of audio and video formats.
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YouT Video Mp3 Downloader
YouTube video and audio download tool
YouT Video Mp3 Downloader is an open-source Python application that can download YouTube videos in the highest quality MP4 format and/or as MP3 audio files. The application supports adaptive video/audio streams such as HD, Full HD, 2K, and 4K, offered by YouTube, using the yt-dlp framework. The FFmpeg requirement is automatically resolved; if FFmpeg is not already present when the application is launched, it will download and configure it. It is easily usable from the terminal, fast, lightweight, and extensible. The project runs seamlessly on Windows and is published as fully open source on GitHub. Github: https://github.com/onderxyilmaz/YouT-Video-Mp3-Downloader -
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Video Frame Extractor
Extracts semi-random frames from all MP4 videos
This simple tool extracts frames from all MP4 videos in the same folder as this program. ## How to use: - Place this program in the folder containing your MP4 videos. - Double-click on VideoFrameExtractor.exe to run it. - When prompted, enter the number of frames you want to extract from each video. - Wait for the program to finish processing all videos. - Find your extracted frames in the 'extracted_frames' folder. The frames are extracted at evenly distributed points throughout each video. For example, if you choose 3 frames, they will be taken at the 25%, 50%, and 75% marks of each video. (Source code is included with the program .zip file.) -
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Glypdl
A fast, lightweight native media downloader for Linux , Windows and An
Glypdl is a free and open-source cross-platform media downloader powered by yt-dlp and FFmpeg. It provides native applications for Linux, Windows, and Android, allowing users to download video and audio from supported websites through a simple graphical interface. Glypdl supports video and audio downloads, playlists, multiple formats, thumbnails, progress tracking, and other yt-dlp-powered features. It is designed as a lightweight native alternative to command-line downloaders and proprietary download applications. -
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Freevo is an open source HTPC media centre integrating PVR / DVR funtionality along with music, video, gaming, home automation and more. It is written in python and uses existing popular software such as mplayer, xine and vlc.
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Grabbit
Free Windows app to download videos from YouTube, TikTok, Instagram an
Grabbit is a desktop video downloader for Windows. Download videos and audio from YouTube, TikTok, Instagram, Facebook, Twitter and more — up to 4K/8K quality. Includes a Chrome Extension to grab videos directly from your browser. No cloud, no account needed. Free tier available. Pro plan from $8.99/month. -
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YD YouTube Video Downloader
YoutubeDownloader is an application that can download YouTube videos.
YD YoutubeDownloader is an application that can download YouTube videos. You can copy and paste the URL of any video, playlist, or channel and download it directly in your chosen format. It also supports the SOCKS5 protocol, a feature not found in other software. YD YoutubeDownloader 是一款可以下载 YouTube 视频的应用程序。您可以复制粘贴任何视频、播放列表或频道的 URL，并直接以您选择的格式下载,并且还支持SOCKS5协议，这是其它软件没有的功能。 Source code from other GitHub projects included in the software. yt-dlp FFmpeg -
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Elltube is a YouTube Downloader and Converter. The only you have to do is to put YouTube URL and choose the desired format, then, push Download!
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pyTivo is both an HMO and GoBack server. Similar to TiVo Desktop pyTivo loads many standard video compression codecs and outputs mpeg2 video to the TiVo. However, pyTivo is able to load MANY more file types than TiVo Desktop.
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Youtube-To-MP3
A simple Youtube to mp3 application written in python.
A simple Youtube to mp3 application written in python. I did my best to make it have a simple intuitive design, so now you don't have to go to the sketchy converters. IF NOT ON WINDOWS I believe it should work on other operating systems but I've not tested. If your OS can't run an .exe file then you must run the .py file (source code) directly. -
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This is a program with one, specific purpose: to provide the ability to demux ALL of the streams in any number of Matroska container (mkv) files automatically.
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Youtube Video Downloader
Youtube Video Downloader is Open Source GUI tool
Youtube Video Downloader is Open Source GUI tool to download Youtube video. It is Developed with Python, Qt, and Pytube Library. It is Multi-thread Application. Best Available Option download video in highly available Quality . Download Videos in 720p, 480p, 360p etc. -
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This is Christine a Python, GTK+, GStreamer based media player. Is intended to be beautiful, useful and fat free.
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Pymedia is a C/C++/Python multimedia module to allow encode/decode/play multimedia information in mp3,ogg,avi etc. formats. Based on ffmpeg with added features and simple Python interface. To be used in multimedia apps written in Python.
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4allDownloader Converter
Video,audio&Files Downloader&Convert with built-in browser with AI.
The most advanced downloader & converter tool that combines the power of leading open-source technologies under an intuitive GUI. Download videos, Audio, from 10000+ of sites, and also files from any platform with advanced format conversion capabilities. Features a built-in browser with JavaScript injection support that remembers logins while maintaining complete privacy. Five powerful tabs streamline your workflow: Home tab for pasting URLs, channels, playlists, and direct search; Browser tab for seamless web navigation; Downloads tab with resume/cancel support and download history; Utilities tab offering lossless conversion for all file formats plus URL analysis tools; Settings tab for proxy configuration, search limits, download engine selection, and advanced customization. Experience lightning-fast downloads, universal format support, and privacy-focused browsing in one revolutionary application. Perfect for content creators, researchers, media enthusiasts and anyone who demand.
