qurator-spk/page2tsv
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This commit is contained in:
Kai 2021-05-07 11:28:24 +02:00
parent e5b635ec2d
commit 5e60fabe4a
1 changed files with 2 additions and 21 deletions
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23
tsvtools/cli.py
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@ -107,16 +107,7 @@ def page2tsv(page_xml_file, tsv_out_file, purpose, image_url, ner_rest_endpoint,
for region_idx, region in enumerate(pcgts.get_Page().get_AllRegions(classes=['Text'], order='reading-order')):
for text_line in region.get_TextLine():
# points = [int(scale_factor * float(pos)) for coords in text_line.get_Coords() for p in
# coords.attrib['points'].split(' ') for pos in p.split(',')]
points = [int(scale_factor * float(pos)) for pos in text_line.get_Coords().points]
x_points, y_points = points[0::2], points[1::2]
left, right, top, bottom = min(x_points), max(x_points), min(y_points), max(y_points)
# left, top, right, bottom = [int(scale_factor * x) for x in bbox_from_points(text_line.get_Coords().points)]
left, top, right, bottom = [int(scale_factor * x) for x in bbox_from_points(text_line.get_Coords().points)]
if min_confidence is not None and max_confidence is not None:
conf = np.max([textequiv.conf for textequiv in text_line.get_TextEquiv()])
@ -129,17 +120,7 @@ def page2tsv(page_xml_file, tsv_out_file, purpose, image_url, ner_rest_endpoint,
for text_equiv in word.get_TextEquiv():
# transform OCR coordinates using `scale_factor` to derive
# correct coordinates for the web presentation image
# points = [int(scale_factor * float(pos)) for coords in text_equiv.get_Coords() for p in
# coords.attrib['points'].split(' ') for pos in p.split(',')]
points = [int(scale_factor * float(pos)) for pos in text_equiv.get_Coords().points]
x_points, y_points = points[0::2], points[1::2]
left, right, top, bottom = min(x_points), max(x_points), min(y_points), max(y_points)
# left, top, right, bottom = [int(scale_factor * x) for x in bbox_from_points(word.get_Coords().points)]
left, top, right, bottom = [int(scale_factor * x) for x in bbox_from_points(word.get_Coords().points)]
tsv.append((region_idx, len(line_info) - 1, left + (right - left) / 2.0,
text_equiv.get_Unicode(), len(urls), left, right, top, bottom, text_line.id))