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])