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VMAFOptimiser/SETUP.md

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# VMAF Optimisation Pipeline - Setup Guide
## Quick Start
### Prerequisites
- Python 3.8+
- FFmpeg with VMAF support (`ffmpeg -filters 2>&1 | grep libvmaf`)
- ab-av1 binary (v0.10.3+)
### Installation
**On Linux (Server/WSL):**
>>>>>>> 91418fa898de4a73e144a9fb9202b2315e922ab9
```bash
# Clone repository
git clone https://gitea.theflagroup.com/bnair/VMAFOptimiser.git /opt/Optmiser
# Download ab-av1
cd /opt/Optmiser/bin
wget https://github.com/alexheretic/ab-av1/releases/download/v0.10.3/ab-av1-x86_64-unknown-linux-musl
chmod +x ab-av1
# Set up directories
mkdir -p /opt/Optmiser/tmp /opt/Optmiser/logs /opt/Optmiser/.lock
```
**On Windows:**
```powershell
# Clone repository
git clone https://gitea.theflagroup.com/bnair/VMAFOptimiser.git C:\Optmiser
# Install dependencies
winget install ffmpeg
# Install Rust and ab-av1
# Download from https://rust-lang.org/
cargo install ab-av1
# Set up directories
mkdir C:\Optmiser\tmp, C:\Optmiser\logs
```
**On macOS:**
```bash
# Clone repository
git clone https://gitea.theflagroup.com/bnair/VMAFOptimiser.git /opt/Optmiser
# Install dependencies
brew install ffmpeg
# Install Rust and ab-av1
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
cargo install ab-av1
# Set up directories
mkdir -p /opt/Optmiser/tmp /opt/Optmiser/logs /opt/Optmiser/.lock
```
## Running the Optimiser
### Choose Your Script
**Linux / WSL / macOS:**
```bash
# Interactive mode (shows prompts)
./run_optimisation.sh
# Direct execution with parameters
./run_optimisation.sh --directory /mnt/Media/Movies --vmaf 95 --preset 6 --workers 1
# For 50% CPU mode on server
./run_optimisation.sh --directory /mnt/Media/Movies --vmaf 95 --workers 1 --cpu-limit 50
```
**Windows:**
```powershell
# Interactive mode (shows prompts)
.\run_optimisation.ps1
# Direct execution with parameters
.\run_optimisation.ps1 -directory "D:\Movies" --vmaf 95 --preset 6 --workers 1
# For hardware acceleration (AMD GPU)
.\run_optimisation.ps1 -directory "D:\Movies" --vmaf 95 --hwaccel auto
```
## Script Parameters
All wrapper scripts (`run_optimisation.sh` on Linux, `run_optimisation.ps1` on Windows) accept these parameters:
| Parameter | Description | Default |
|------------|-------------|---------|
| `--directory <path>` | Root directory to scan | Current directory |
| `--vmaf <score>` | Target VMAF score | 95.0 |
| `--preset <value>` | SVT-AV1 Preset (4=best, 6=balanced, 8=fast) | 6 |
| `--workers <count>` | Concurrent files to process | 1 |
| `--samples <count>` | Samples for CRF search | 4 |
| `--thorough` | Use thorough mode (slower, more accurate) | false |
| `--encoder <name>` | ab-av1 encoder | svt-av1 |
| `--hwaccel <value>` | Hardware acceleration | none (auto: auto-detect) |
## Multi-Machine Setup
### How Lock Files Prevent Conflicts
Each video file has a lock file: `/opt/Optmiser/.lock/{video_filename}`
**Process:**
1. Machine A: Checks for lock → Not found, creates lock
2. Machine A: Starts encoding
3. Machine B: Checks for lock → Found, skips file
4. Machine A: Finishes, removes lock
5. Machine B: Can now process that file
**Result:** Different machines automatically process different files simultaneously!
### Setup for Multiple Machines
**Machine 1 - Linux Server (Intel i9-12900H):**
```bash
cd /opt/Optmiser
git pull origin main
./run_optimisation.sh /mnt/Media/movies --vmaf 95
```
**Machine 2 - Windows PC (AMD RX 7900 XT):**
```powershell
cd C:\Optmiser
git pull origin main
.\run_optimisation.ps1 D:\Media\movies --vmaf 95 --hwaccel auto
```
**Machine 3 - Another Linux PC:**
```bash
cd /opt/Optmiser
git pull origin main
./run_optimisation.sh /home/user/Media/tv --vmaf 95
```
All three can run simultaneously!
## Hardware Acceleration
### Automatic Detection
When `--hwaccel auto` is specified, the wrapper scripts automatically select the best available hardware acceleration:
| Platform | Auto Selection | Notes |
|-----------|----------------|--------|
| Windows | d3d11va | Direct3D Video Acceleration |
| macOS | videotoolbox | VideoToolbox framework |
| Linux/WSL | vaapi | Video Acceleration via VA-API |
### GPU vs iGPU Priority
- **Discrete GPU takes priority:** If a discrete GPU (like AMD RX 7900 XT) is present, it's selected over integrated GPU
- **For AMD RX 7900 XT:** Hardware encoding provides ~3-10x speedup over CPU
- **Note:** GPU encoding may need slightly lower VMAF targets to match CPU quality
## Customization
### Changing VMAF Targets
Edit `optimize_library.py`:
```python
# More aggressive (smaller files, lower quality)
TARGETS = [92.0, 90.0, 88.0]
# Conservative (larger files, higher quality)
TARGETS = [95.0, 94.0, 93.0]
```
### Changing Savings Threshold
```python
# More aggressive (encode more)
MIN_SAVINGS_PERCENT = 8.0
# Less aggressive (encode fewer)
MIN_SAVINGS_PERCENT = 15.0
```
### Changing Encoder Preset
```python
# Faster encodes (larger files, lower quality)
PRESET = 8
# Better quality (slower encodes, smaller files)
PRESET = 4
```
## Platform-Specific Tips
### For Linux Servers (Intel i9-12900H)
1. **Use 50% CPU mode** if running other services:
```bash
./run_optimisation.sh --directory /media --vmaf 95 --workers 1 --cpu-limit 50
```
2. **Run during off-peak hours** to minimize user impact
3. **Monitor CPU temperature:**
```bash
watch -n 2 'sensors | grep "Package id"'
```
4. **Use higher preset for faster encodes:**
```bash
./run_optimisation.sh --vmaf 93 --preset 8
```
### For Windows PCs (AMD RX 7900 XT)
1. **Enable hardware acceleration** for massive speedup:
```powershell
.\run_optimisation.ps1 --directory "D:\Movies" --hwaccel auto
```
2. **Test small sample first** to verify settings:
```powershell
.\run_optimisation.ps1 --directory "D:\Media\sample" --thorough --vmaf 95
```
3. **Monitor GPU usage** (Task Manager or third-party tools)
4. **Consider quality compensation** - GPU encoding may need slightly lower VMAF targets to match CPU quality
### For WSL (Ubuntu/Debian)
1. **Access Windows drives** via `/mnt/c/`:
```bash
ls /mnt/c/Media/movies
```
2. **Increase memory limits** if encoding 4K content:
```bash
# Edit ~/.wslconfig
[wsl2]
memory=16GB
```
## Running in Docker (Optional)
```bash
# Build image
docker build -t vmaf-optimiser .
# Run with mount
docker run -v /path/to/media:/media vmaf-optimiser /media
```
## Troubleshooting
### Issue: Scripts not found
**Solution:** Ensure you're in the correct directory with the scripts installed.
### Issue: "ab-av1: command not found"
**Solution:** Install ab-av1 via cargo:
```bash
cargo install ab-av1
```
### Issue: FFmpeg VMAF not available
**Solution:** Recompile FFmpeg with VMAF support or download a pre-built version that includes libvmaf.
### Issue: Out of Memory
**Solution:** Reduce workers or increase swap:
```bash
# Increase swap
sudo fallocate -l 4G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
# Use more conservative settings
./run_optimisation.sh --workers 1 --vmaf 93
```
### Issue: Multiple machines encoding same file
**Solution:** This is prevented by lock files. If you see duplicates, check `/opt/Optmiser/.lock/` for stale locks.
### Issue: Encoding fails
**Solution:** Check logs:
```bash
cat /opt/Optmiser/logs/failed_encodes.jsonl | jq '.'
```
### Issue: "unexpected argument" error
**Solution:** Use correct flags for your ab-av1 version. The wrapper scripts now validate support at runtime.
## Git Workflow
### Initial Setup
```bash
cd /opt/Optmiser
git init
git remote add origin https://gitea.theflagroup.com/bnair/VMAFOptimiser.git
git branch -M main
git add .
git commit -m "Initial commit: VMAF optimisation pipeline"
git push -u origin main
```
### Daily Updates
```bash
cd /opt/Optmiser
git pull origin main
# Run optimisation
./run_optimisation.sh /media tv_movies
# Review changes
git diff
```
### Committing Changes
```bash
cd /opt/Optmiser
git status
# Add changed files
git add optimize_library.py run_optimisation.sh run_optimisation.ps1
# Commit with message
git commit -m "feat: add Windows and Linux wrapper scripts"
# Push
git push
```
### Viewing Logs
```bash
# Watch logs in real-time
tail -f /opt/Optmiser/logs/tv_movies.jsonl | jq '.'
# Check files logged for review
cat /opt/Optmiser/logs/low_savings_skips.jsonl | jq '.[] | select(.recommendations=="logged_for_review")'
# Statistics
jq -r '.status' /opt/Optmiser/logs/tv_movies.jsonl | sort | uniq -c
# Find what CRF/VMAF combinations are being used most
jq -r '[.vmaf, .crf] | @tsv' /opt/Optmiser/logs/tv_movies.jsonl | sort | uniq -c
```
### View History
```bash
cd /opt/Optmiser
git log --oneline
git log --graph --all
```
## FAQ
**Q: Can I run this on multiple machines at once?**
A: Yes! Each machine will process different files due to lock file mechanism.
**Q: Should I use Windows or WSL?**
A: WSL is recommended for Linux compatibility. Use Windows native if you need direct hardware access or performance.
**Q: Will hardware encoding work better than CPU?**
A: For AMD RX 7900 XT, hardware AV1 encoding is ~3-10x faster than CPU. However, GPU encoding may need slightly lower VMAF targets to match CPU quality.
**Q: What VMAF target should I use?**
A: Start with VMAF 94 or 95. Drop to 92-90 if you need more savings.
**Q: How do I know which files are being processed?**
A: Check `.lock/` directory: `ls -la /opt/Optmiser/.lock/`
**Q: Can I pause/resume?**
A: Pause by stopping the script (Ctrl+C). Resume by running again - it skips processed files.
**Q: What happens if encoding fails?**
A: Error is logged to `failed_encodes.jsonl`. Original file is NOT modified.
**Q: How much CPU does encoding use?**
A: Full CPU by default. Use `--workers 1` for single-threaded, or limit with `--cpu-limit 50` for 50% (12 threads on 24-core).
**Q: What are the log files?**
A:
- `tv_movies.jsonl` - Successful TV & Movie encodes
- `content.jsonl` - Successful Content folder encodes
- `low_savings_skips.jsonl` - Files with <12% savings + 15% estimates
- `failed_searches.jsonl` - Files that couldn't hit any VMAF target
- `failed_encodes.jsonl` - Encoding errors
**Q: How do I see real-time progress?**
A: The script streams all ab-av1 output in real-time, showing ETA, encoding speed, and frame count.
---
**Last Updated:** December 31, 2025
**Version:** 2.0 with Windows and Linux Wrapper Scripts