IMDER

Image & Video Pixel Blender - Plugin Edition

A streamlined, CLI-first Python package for pixel-sorting image and video transformations. This is the lightweight, automation-friendly version of the full IMDER tool, designed for integration into pipelines, scripts, and other applications.

What it does

IMDER rearranges pixels between a base and target media using spatial sorting algorithms, creating glitch-art style transitions and data-bending effects without neural networks or heavy dependencies.

Supported formats:

• Images: PNG, JPG, WebP
• Video: MP4, AVI, MOV, MKV, FLV, WMV

Installation

pip install imder

Requirements: Python 3.8+, OpenCV, NumPy, Pillow. FFmpeg optional (required for audio features).

Usage

As a Python Library

import imder

# Process two images, output PNG and GIF
imder.process(
    base="path/to/image1.jpg",
    target="path/to/image2.jpg",
    result="path/to/output/",
    results=["png", "gif"],      # Options: png, gif, mp4
    algo="shuffle",              # shuffle, merge, missform, fusion
    res=512,                     # 128, 256, 512, 1024, 2048
    sound="mute"                 # mute, gen (generated), target (from video)
)

# CLI mode
imder.launch_interactive()

Command Line

# Interactive mode
imder

# Direct processing
imder base.jpg target.jpg ./output --results gif mp4 --algo missform --res 1024

# With target audio extraction (quality 1-10)
imder base.jpg target.mp4 ./out --results mp4 --sound target --sq 5

Algorithm Selection

Sound options:

• mute: Silent output
• gen: Generate synthetic audio from pixel color values
• target: Extract audio from target video (requires FFmpeg, --sq for quality 1-10)

Limitations vs Full Version

This PyPI distribution is a minimal, headless build optimized for automation:

Use this package when you need to batch process files, integrate into web services, or call from other Python applications. Use the GitHub version for interactive artistic workflows.

GitHub Repository

For the full-featured GUI application, source code, and detailed algorithm documentation:
👉 https://github.com/HAKORADev/IMDER

License

MIT License