🏐 DV Live Video

DV Live Video is a professional desktop application for real‑time volleyball rally analysis. It combines live video capture (partial MP4 or HTTP stream) with DataVolley scout files (.dvw) to provide an interactive web interface with powerful filters, statistics, and HLS streaming to any device on your local network.

Documents:

• README Português Brasileiro

Manual:

• English (US)
• Português Brasileiro (PT-BR)

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Screenshots

Desktop Interface

Web Interface (Mobile)

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Features

• Real‑time rally list – Updated automatically when the scout file changes.
• Powerful filters – By set, home/away rotation, favorites, and wildcard search (_).
• Interactive statistics – Detailed tables with counts by skill (Serve, Reception, Attack, Block, Dig, Set) and evaluation codes (# + ! - / =).
• Desktop + Web – Choose to run only the desktop interface, only the web server, or both.
• Keyboard shortcuts – Space (play/pause), arrows (±2s), F (favorite), Enter (jump to selected rally), and more.
• Last serves shortcut – Dynamic buttons showing the most recent serves with score and short code.

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Download

Go to the Releases page and download the latest DVLiveVideo.rar. Extract everything to the same directory and run the .exe.

Note: The release package also includes ffmpeg.exe and the required folders and files. First start can take few minutes to open.

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Requirements

• Windows 10 / 11 (64‑bit)
• VLC Media Player installed (download here)
• The provided ffmpeg.exe (included in the release)

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Quick Start

1. Extract the release archive to a folder (e.g., C:\DVLiveVideo).
2. Install VLC if you haven’t already.
3. Run DVLiveVideo.exe.
4. Choose your execution mode.
5. Select your video source.
6. Start scouting! The web interface will be available at http://localhost:5000 (or your computer’s IP address).

Testing without a match? Use any .mp4 + .dvw.

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Built With

• Python 3.14 – Core logic
• PyQt5 – Desktop interface
• VLC (python‑vlc) – Video playback
• FFmpeg – HLS streaming generation
• Flask + Socket.IO – Web server and real‑time updates
• pandas – Data manipulation
• openvolley/py-datavolley – DataVolley .dvw parser

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Documentation

The web interface includes:

• User Manual – http://localhost:5000/manual
• Changelog – http://localhost:5000/changelog
• Resources & Credits – http://localhost:5000/resources

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Contributing

This project is distributed as a compiled executable. If you are a developer and wish to contribute to the source code, please contact the author.

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Contact

Developed by Felipe Lima (Ori) – [@felipeaplima]

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License

All rights reserved. This software is provided “as is” without warranty. Redistribution is not permitted without explicit permission from the author.