def align(self, p1, p2, index):
"""
Yields predictions of alignments.
Parameters
----------
p1, p2 : A pair of Page's
The two pages to be aligned
index :
An identifiers of the pair.
"""
t = [p1.y, p2.y]
for op in im_utils.fuzzy_box_align(p1.y, p2.y):
if op[0] != "equal":
range = Range.from_op(op)
side = 0 if r[0].num_lines() > r[1].num_lines() else 1
# for box in boxes[side][r[side].start.line:r[side].end.line]:
# images.draw_box(ims[side], box)
text = 0 #no text prediction
position = t[side][r[side].start.line].y
# Assume we are looking at line index for predictions.
yield Prediction(index, side,
text,
position,
range[side])
def align(self, p1, p2, index):
"""
Yields predictions of alignments.
Parameters
----------
p1, p2 : A pair of Page's
The two pages to be aligned
index :
An identifiers of the pair.
"""
# align = dp.AlignAlgorithm(p1, p2)
# t1, i1 = p1.x, p1.y
# t2, i2 = p2.x, p2.y
ops = text_utils.fuzzy_text_align(p1.x, p2.x)
t = [p1.x, p2.x]
for op in ops:
if op[0] != "equal":
r = Range.from_op(op)
side = 0 if r[0].num_lines() > r[1].num_lines() else 1
yield Prediction(index, side,
r[side].text_from_range(t[side]),
0, r[side])