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

Install Python Dependencies:
```
pip install -r requirements.txt
```
Install FFmpeg (if not already installed):
- Windows: Download from https://ffmpeg.org/download.html
- Or use: winget install ffmpeg
Configure Paths:
- Default input: R:\mux\input
- Default output: R:\mux\output
- Default logs: R:\mux\logs
Run the Application:
```
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

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