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@ -142,10 +142,12 @@ class CalamariRecognize(Processor):
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glyph = GlyphType(id='%s_glyph%04d' % (word.id, glyph_no), Coords=CoordsType(points))
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chars = sorted(p.chars, key=lambda k: k.probability, reverse=True)
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for index, char in enumerate(chars):
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char_index = 1 # Must start with 1, see https://ocr-d.github.io/page#multiple-textequivs
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for char in chars:
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if char.char:
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glyph.add_TextEquiv(TextEquivType(Unicode=char.char, index=index, conf=char.probability))
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# XXX Note that omission probabilities are not normalized?!
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glyph.add_TextEquiv(TextEquivType(Unicode=char.char, index=char_index, conf=char.probability))
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char_index += 1
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# XXX Note that omission probabilities are not normalized?!
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word.add_Glyph(glyph)
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