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# VodKeeper
A unified workflow application for video processing and management, integrating all workflows from R:\Videos\mux into one executable with UI.
## Overview
VodKeeper is designed to streamline video processing workflows by providing a single, user-friendly interface for all video-related tasks previously handled through various scripts and tools.
## Features
- **Input Tab**: File selection, encoding settings (codec, preset, CQ), bitrate management, preview encoding
- **Render Tab**: Progress monitoring, queue management, live FFmpeg output, pause/stop controls
- **QC Tab**: Quality control checks, frame-by-frame comparison, visual verification
## Setup
1. **Install Python Dependencies**:
```bash
pip install -r requirements.txt
```
2. **Install FFmpeg** (if not already installed):
- Windows: Download from https://ffmpeg.org/download.html
- Or use: `winget install ffmpeg`
3. **Configure Paths**:
- Default input: `R:\mux\input`
- Default output: `R:\mux\output`
- Default logs: `R:\mux\logs`
4. **Run the Application**:
```bash
python run.py
# or
python vodkeeper.py
```
## Usage
### Input Tab
- Browse and select input directory
- Choose encoding settings (h265_nvenc, vp9, av1)
- Set preset (p1-p7, default p7)
- Configure CQ value (0-51, default 0)
- Auto-detect or manually set bitrate cap
- Preview encode (1 minute test)
### Render Tab
- Add files to render queue
- Monitor progress with live FFmpeg output
- Pause/stop rendering operations
- View queue status and progress
### QC Tab
- Select source and output files for comparison
- Run quality control checks
- Compare frames side-by-side
- Export QC reports
## Development
This project uses:
- **Tkinter** for the UI
- **ffmpeg-python** for video processing
- **OpenCV** for frame analysis
- **Pillow** for image handling
## License
Private project - All rights reserved