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#!/usr/bin/env python3
import numpy as np
import subprocess
import sys
class SVGObject:
def __init__(self, attrlist):
self.id = attrlist[0]
self.x = float(attrlist[1])
self.y = float(attrlist[2])
self.w = float(attrlist[3])
self.h = float(attrlist[4])
self.x_ = self.x + self.w
self.y_ = self.y + self.h
def is_path(self):
return self.id.startswith("path")
def is_tspan(self):
return self.id.startswith("tspan")
def __repr__(self):
return "{}<x={}, y={}, w={}, h={}>".format(
self.id, self.x, self.y, self.w, self.h
)
def main(infile, outfile):
ret = subprocess.run(
["inkscape", "--query-all", infile], capture_output=True, check=True
)
objects = ret.stdout.decode("ascii").split("\n")
# remove last (empty) line
objects.pop()
# objects = [[ID, X, Y, W, H], ... ]
objects = list(map(lambda x: x.split(","), objects))
objects = list(map(lambda x: SVGObject(x), objects))
ys = list()
for o in objects:
if o.is_path() and o.h > 2 and o.h < 4 and o.w > 10:
ys.append(o.y)
bins = np.bincount(ys)
candidates = list(filter(lambda i: bins[i] > 2, range(len(bins))))
crop_y_min = np.min(candidates) - 1
crop_y_max = np.max(candidates) + 4
objects_to_delete = list()
x_positions = list()
for o in objects:
if (o.is_path or o.is_tspan) and (o.y < crop_y_min or o.y_ > crop_y_max):
objects_to_delete.append(o.id)
elif o.is_path and o.y >= crop_y_min and o.y_ <= crop_y_max:
x_positions.append(o.x)
x_positions.append(o.x_)
crop_x_min = int(np.min(x_positions))
crop_x_max = int(np.max(x_positions)) + 1
objects_to_delete = ",".join(objects_to_delete)
export_area = f"--export-area={crop_x_min}:{crop_y_min}:{crop_x_max}:{crop_y_max}"
select_objects = f"--select={objects_to_delete}"
subprocess.run(
[
"xvfb-run",
"inkscape",
export_area,
select_objects,
"--verb=EditDelete",
"--batch-process",
"--export-dpi=600",
"-o",
outfile,
infile,
]
)
if __name__ == "__main__":
main(*sys.argv[1:])
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