VMAF Optimisation Pipeline

Automated video library optimization to AV1 using VMAF quality targeting.

Features

• ✅ Intelligent VMAF Fallback: 94 → 93 → 92 → 90
• ✅ 15% Savings Estimation: Finds exact VMAF needed for target savings
• ✅ Real-time Output: Live progress with ETA display
• ✅ Multi-Machine Support: Lock files prevent duplicate processing
• ✅ Skip AV1 Files: Won't re-encode already compressed content
• ✅ Separate Logging: TV/Movies and Content tracked separately
• ✅ Thorough CRF Search: More accurate VMAF/CRF determination
• ✅ Windows/WSL Compatible: Run on Windows or WSL with proper path mapping

Quick Start

# Clone repository
git clone https://gitea.theflagroup.com/bnair/VMAFOptimiser.git /opt/Optmiser

# Process media
python3 /opt/Optmiser/optimise_media_v2.py /path/to/media tv_movies

Documentation

• AGENTS.md - Complete technical documentation for AI agents/humans
• SETUP.md - Installation, configuration, and usage guide

Requirements

• Python 3.8+
• FFmpeg with VMAF support
• ab-av1 v0.10.3+

License

MIT License - See LICENSE file for details.

Contributing

Contributions welcome! Please read AGENTS.md for architecture before contributing.