Merge pull request #129 from qurator-spk/resolving_issue_106

fix OCR-D regression
pull/131/head
Clemens Neudecker 4 weeks ago committed by GitHub
commit 78bfa97c06
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GPG Key ID: B5690EEEBB952194

@ -198,9 +198,11 @@ def main(
light_version=light_version,
ignore_page_extraction=ignore_page_extraction,
)
if dir_in:
eynollah.run()
#pcgts = eynollah.run()
##eynollah.writer.write_pagexml(pcgts)
else:
pcgts = eynollah.run()
eynollah.writer.write_pagexml(pcgts)
if __name__ == "__main__":
main()

@ -3091,7 +3091,8 @@ class Eynollah:
pcgts = self.writer.build_pagexml_full_layout(contours_only_text_parent, contours_only_text_parent_h, page_coord, order_text_new, id_of_texts_tot, all_found_textline_polygons, all_found_textline_polygons_h, all_box_coord, all_box_coord_h, polygons_of_images, contours_tables, polygons_of_drop_capitals, polygons_of_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_h, slopes_marginals, cont_page, polygons_lines_xml)
self.logger.info("Job done in %.1fs", time.time() - t0)
##return pcgts
if not self.dir_in:
return pcgts
else:
contours_only_text_parent_h = None
if np.abs(slope_deskew) < SLOPE_THRESHOLD:
@ -3101,7 +3102,10 @@ class Eynollah:
order_text_new, id_of_texts_tot = self.do_order_of_regions(contours_only_text_parent_d_ordered, contours_only_text_parent_h, boxes_d, textline_mask_tot_d)
pcgts = self.writer.build_pagexml_no_full_layout(txt_con_org, page_coord, order_text_new, id_of_texts_tot, all_found_textline_polygons, all_box_coord, polygons_of_images, polygons_of_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, cont_page, polygons_lines_xml, contours_tables)
self.logger.info("Job done in %.1fs", time.time() - t0)
##return pcgts
if not self.dir_in:
return pcgts
if self.dir_in:
self.writer.write_pagexml(pcgts)
#self.logger.info("Job done in %.1fs", time.time() - t0)
if self.dir_in:

@ -42,7 +42,7 @@ class EynollahProcessor(Processor):
page = pcgts.get_Page()
# XXX loses DPI information
# page_image, _, _ = self.workspace.image_from_page(page, page_id, feature_filter='binarized')
image_filename = self.workspace.download_file(next(self.workspace.mets.find_files(url=page.imageFilename))).local_filename
image_filename = self.workspace.download_file(next(self.workspace.mets.find_files(local_filename=page.imageFilename))).local_filename
eynollah_kwargs = {
'dir_models': self.resolve_resource(self.parameter['models']),
'allow_enhancement': False,

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