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:

pip install numpy pillow scikit-image PyQt5

Usage

Load an Image: Drag and drop an image file into the preview window or use the "Update Preview" button to load.
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.
Update Preview: Click "Update Preview" to apply changes and see the result.
Export Vector: Click "Export Vector" to save the vectorized outline as an SVG file.

License

This project is licensed under the CC0-1.0 Public Domain Dedication, which means you can copy, modify, distribute and use the work, even commercially, without needing to give any attribution.

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