Video Montage Linker

A PyQt6 application for creating sequenced symlinks from image folders with advanced cross-dissolve transitions. Perfect for preparing image sequences for video editing, time-lapse assembly, or montage creation.

Features

Source Folder Management

• Add multiple source folders to merge images from different locations
• Drag & drop folders directly onto the window
• Alternating folder types: odd positions = Main, even positions = Transition
• Override folder types via right-click context menu
• Reorder folders with up/down buttons
• Per-folder trim settings (exclude frames from start/end)

Cross-Dissolve Transitions

Smooth blending between folder boundaries with three blend methods:

Method	Description	Quality	Speed
Cross-Dissolve	Simple alpha blend	Good	Fastest
Optical Flow	Motion-compensated blend using OpenCV Farneback	Better	Medium
RIFE (AI)	Neural network frame interpolation	Best	Fast (GPU)

• Asymmetric overlap: Set different frame counts for each side of a transition
• Blend curves: Linear, Ease In, Ease Out, Ease In/Out
• Output formats: PNG, JPEG (with quality), WebP (lossless with method setting)
• RIFE auto-download: Automatically downloads rife-ncnn-vulkan binary

Preview

• Video Preview: Play video files from source folders
• Image Sequence Preview: Browse frames with zoom (scroll wheel) and pan (drag)
• Sequence Table: 2-column view showing Main/Transition frame pairing
• Trim Slider: Visual frame range selection per folder

Dual Export Destinations

• Sequence destination: Regular symlinks only
• Transition destination: Symlinks + blended transition frames

Session Persistence

• SQLite database tracks all sessions and settings
• Resume previous session by selecting the same destination folder
• Restores: source folders, trim settings, folder types, transition settings, per-transition overlaps

Installation

Requirements

• Python 3.10+
• PyQt6
• Pillow
• NumPy
• OpenCV (optional, for Optical Flow)

pip install PyQt6 Pillow numpy opencv-python

RIFE (Optional)

For AI-powered frame interpolation, the app can auto-download rife-ncnn-vulkan or you can install it manually:

• Select RIFE (AI) as the blend method
• Click Download to fetch the latest release
• Or specify a custom binary path

Usage

GUI Mode

python symlink.py        # Launch GUI (default)
python symlink.py --gui  # Explicit GUI launch

Workflow:

1. Add source folders (drag & drop or click "Add Folder")
2. Adjust trim settings per folder if needed (right-click or use trim slider)
3. Set destination folder(s)
4. Enable transitions and configure blend method/settings
5. Click Export Sequence or Export with Transitions

CLI Mode

# Create symlinks from source folders
python symlink.py --src /path/to/folder1 --src /path/to/folder2 --dst /path/to/dest

# List all tracked sessions
python symlink.py --list

# Clean up symlinks and remove session
python symlink.py --clean /path/to/dest

File Structure

video-montage-linker/
├── symlink.py          # Entry point, CLI
├── config.py           # Constants, paths
├── core/
│   ├── models.py       # Enums, dataclasses
│   ├── database.py     # SQLite session management
│   ├── blender.py      # Image blending, RIFE downloader
│   └── manager.py      # Symlink operations
└── ui/
    ├── widgets.py      # TrimSlider, custom widgets
    └── main_window.py  # Main application window

Supported Formats

Images: PNG, WEBP, JPG, JPEG, TIFF, BMP, EXR

Videos (preview only): MP4, MOV, AVI, MKV, WEBM

Database

Session data stored at: ~/.config/video-montage-linker/symlinks.db

System Installation (Linux)

# Make executable
chmod +x symlink.py

# Add to PATH
ln -s /full/path/to/symlink.py ~/.local/bin/video-montage-linker

# Create desktop entry
cat > ~/.local/share/applications/video-montage-linker.desktop << 'EOF'
[Desktop Entry]
Name=Video Montage Linker
Comment=Create sequenced symlinks with cross-dissolve transitions
Exec=/full/path/to/symlink.py
Icon=emblem-symbolic-link
Terminal=false
Type=Application
Categories=Utility;Graphics;AudioVideo;
EOF

update-desktop-database ~/.local/share/applications/

License

MIT