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# kisscut
**Author:** Victor Giers
> ⚠️ **This README.md has been automatically generated using AI and might contain hallucinations or inaccuracies. Please proceed with caution!**
# KissCut Vectorization Tool
## Description
KissCut is a simple tool to convert bitmap images into vectorized outlines suitable for laser cutting and other purposes. It processes images to extract contours, smooth them, and export as SVG files.
## Features
- Convert image masks to vector outlines.
- Adjustable parameters for contour detection and smoothing.
- Export vector graphics in SVG format.
- Drag-and-drop functionality for easy file loading.
- User-friendly GUI with sliders for fine-tuning settings.
## Requirements
- Python 3.6 or higher
- Required libraries: `numpy`, `Pillow`, `scikit-image`, `PyQt5`
Install the required libraries using pip:
```bash
pip install numpy pillow scikit-image PyQt5
```
## Usage
1. **Load an Image**: Drag and drop an image file into the preview window or use the "Update Preview" button to load.
2. **Adjust Parameters**:
- **DPI (Dots Per Inch)**: Resolution of the input image.
- **Inflation (inch)**: Additional margin around the detected contour.
- **Alpha Threshold**: Threshold for binarizing the image.
- **RDP Epsilon (mm)**: Precision of the RDP algorithm for simplifying contours.
- **Spline Smoothing**: Amount of smoothing applied to the contour.
- **Spline Points**: Number of points used in the spline approximation.
- **Corner Angle (deg)**: Threshold angle for detecting corners.
3. **Update Preview**: Click "Update Preview" to apply changes and see the result.
4. **Export Vector**: Click "Export Vector" to save the vectorized outline as an SVG file.
## License
This project is licensed under the [CC0-1.0](https://creativecommons.org/publicdomain/zero/1.0/) Public Domain Dedication, which means you can copy, modify, distribute and use the work, even commercially, without needing to give any attribution.