def vectorise( image_filename, resolution=1024, draw_contours=False, # suggested value: 2 repeat_contours=1, # increase to draw the contours multiple times draw_hatch=False, # suggested value: 16 repeat_contours=1, # increase to draw the hatching multiple times ):
image_filename: all images are expected to be found in the
resolution: the number of points that will be processed across the largest dimension of the image - larger is more detailed, but slower - and you’re unlikely to find that the resolution of the plotter itself merits increasing this value
draw_contours: find and draw outlines, using the value provided (smaller is more detailed, and slower)
repeat_contours: how many times should the contours be drawn?
draw_hatch: hatch (shade) the processed image, using the value provided (smaller is more detailed, and slower).
repeat_contours: how many times should the hatching be drawn?
At least one of
draw_contours must be given otherwise nothing will be drawn.
vectorise returns a list of
lines, each of which is a list of points. It also creates an SVG file at
images/<image_filename>.svg, to give you an idea of the vectorised version.
image_to_json() takes the same parameters, but saves the result as a JSON file.
image_to_json("africa.jpg", draw_hatch=16, draw_contours=2) will save a file at
also creates an SVG file, at