def flatten_beziers(svg_d):
sp = parse_path(svg_d)
spn = SVGPath()
for seg in sp:
if isinstance(seg, Line):
spn.append(seg)
elif isinstance(seg, CubicBezier):
B = [seg.bpoints()]
foo = np.dot(B, CUBIC_TO_POLY_SAMPLE)
spn.extend([Line(x, y) for x, y in zip(foo[0, :-1], foo[0, 1:])])
else:
raise RuntimeError(f"unsupported {seg}")
return spn.d()
def order_paths(paths):
total_length = sum([path.length() for path in paths])
samples_per_path = [
round(args.N_points * path.length() / total_length) for path in paths
]
# Order the shapes in each path in paths
for i, path in enumerate(paths):
tmp = Path(path.pop(0))
while len(path) > 1:
curr_end = tmp[-1].end
next_start = np.argmin(
np.abs([next_path.start - curr_end for next_path in path]))
tmp.append(path.pop(next_start))
tmp.append(path[0])
paths[i] = tmp
# Sample points along the paths
shape = [[
path.point(i / samples_in_path) for i in range(samples_in_path)
if samples_in_path > 0
] for path, samples_in_path in zip(paths, samples_per_path)]
# Order the paths
tmp = shape.pop(0)
while len(shape) > 0:
curr_end = tmp[-1]
next_start = np.argmin(np.abs([path[0] - curr_end for path in shape]))
tmp.extend(shape.pop(next_start))
# Center and normalize the points
shape = np.conjugate(tmp)
shape -= np.mean(shape)
shape /= np.max(np.abs(shape))
return shape
