VTracer is an excellent project from visioncortex that converts binary and color raster images to vector SVGs. It's written in Rust, so this binding aims to make it accessible from Python.
pip install vtracerimport vtracer
input_path = "/path/to/some_file.jpg"
output_path = "/path/to/some_file.vtracer.jpg"
# Minimal example: use all default values, generate a multicolor SVG
vtracer.convert_image_to_svg_py(inp, out)
# Single-color example. Good for line art, and much faster
# than color runs:
vtracer.convert_image_to_svg_py(inp, out, colormode='binary')
# All the bells & whistles
vtracer.convert_image_to_svg_py(inp,
out,
colormode = 'color', # ["color"] or "binary"
hierarchical = 'stacked', # ["stacked"] or "cutout"
mode = 'spline', # ["spline"] "polygon", or "none"
filter_speckle = 4, # default: 4
color_precision = 6, # default: 6
layer_difference = 16, # default: 16
corner_threshold = 60, # default: 60
length_threshold = 4.0, # in [3.5, 10] default: 4.0
max_iterations = 10, # default: 10
splice_threshold = 45, # default: 45
path_precision = 3 # default: 8
)Note that the only image conversion method we expose (vtracer.convert_image_to_svg_py()) accepts string paths to read
and write images to/from disk. VTracer doesn't expose in-memory image transforms, so we don't do that in Python either. The computation time to trace an image is so much greater than the time to read/write from disk that this doesn't seem like a great loss.
Windows, man. Probably doable, but I haven't gotten there yet.
Please file an issue on Github, or send mail to me with comments.