Approximates images in svg format. Now supports Bezier curves!
| input image | output svg (polygonal) |
|---|---|
 |
 |
Use the recursive submodule option to clone the necessary submodules.
git clone --recurse-submodules https://github.com/loicland/img2svg
Otherwise, clone the following repo in the root:
- https://gitlab.com/1a7r0ch3/parallel-cut-pursuit
- https://gitlab.com/1a7r0ch3/multilabel-potrace
- https://gitlab.com/1a7r0ch3/grid-graph
You need numpy, matplotlib
pip install numpy matplotlib
In a command prompt run:
python setup.py build_ext
Test with
python img2svg.py
python img2svg -f filename -r reg_strength -c contour_color -s stroke_width -o out_size -p output_path
With
- -f --file: path to image
- -r --reg_strength : how much simplification to do. Default = 1.0
- -c --contour_color: color of the contour, if any. Default = '' (no contour). Exemple : 'red'
- -s --stroke_width: width of the contour (only if contour_color != ''). Default = 2.0 (thick)
- -o --out_size: size of the largest side of the image. Default = 500
- -p --output_path: output path. Default = replace the image extension by `svg`
- -a --apply: Function to apply before partition: sqrt, log, none (default)
- -s --smooth: Smoothing term. 0 = polygonal, >0 cubic Bezier curves. Default = 1.0
- -lt --line_tolerance: How far are lines allowed to deviate from the borders. Default = 1.0
- -ct --curve_tolerance: max difference area ratio diff between original and simplified polygons. Default=0.2