White Background Remover

This program does not use AI, which is ironic because AI was utilized in creating it lol.

Description

White Background Remover is a powerful and user-friendly desktop application designed to process images by removing white or white-like backgrounds and splitting them into distinct grayscale intensity layers. It supports batch processing, real-time previews, and GPU acceleration to ensure fast and efficient performance. The application is built to run seamlessly on Windows, macOS, and Linux.

Features

• Layer Splitting: Divide an image into multiple layers based on grayscale intensity.
• Adjustable Parameters: Customize the strength, number of layers, and black factor for fine-tuned results.
• Real-Time Previews: Instantly see changes as you adjust the parameters.
• Batch Processing: Process multiple images in one go.
• GPU Acceleration: Leverages GPU for faster image processing where supported.
• Flexible Background Options: Choose between transparent or solid color backgrounds for previews.
• Save Results: Export individual layers or the entire processed set.
• Cross-Platform Compatibility: Works on Windows, macOS, and Linux.

Setup Guide

1. Python Version: Ensure Python 3.8 or later is installed on your system. Download Python
2. Install Dependencies: Install the required libraries using pip:

python3 -m pip install -r requirements.txt

3. Clone the Repository:

git clone https://github.com/Marseel-E/White-Background-Remover.git

4. Verify GPU Support: (optional) To ensure GPU acceleration is available:

• For NVIDIA GPUs, install the required CUDA toolkit.
• for MacOS (Apple Silicon), ensure Metal Performance Shaders (MPS) is enabled.

5. Run the application:

python3 White-Background-Remover

How to Use

1. Load an Image:

• Click on the "Choose Image" button in the sidebar to select a single image.

2. Adjust Parameters:

• Strength: Use the slider or text input to adjust the removal intensity.
• Number of Layers: Use the spinbox to define how many layers you want to generate.
• Black Factor: Fine-tune the grayscale intensity mapping.

3. Preview Results:

• Use the tabbed view to switch between individual layers.
• Adjust the background settings (solid color or transparent) for better visualization.

4. Save Results:

• Save Current Layer: Click the "Save Current Layer" button to export the selected layer.
• Save All Layers: Use the "Save All Layers" button to export all layers into a designated Output folder.

Exiting

Click the close button or press Ctrl + C in the terminal to exit the application.

License

Mit

Support

For issues, feature requests, or contributions, feel free to create an issue or pull request in the repository.