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✨ Allow controlling of output hierarchy level, e.g. only line, not words+glyphs

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Gerber, Mike 2020-02-05 13:02:10 +01:00
parent 0f0bae18ba
commit ef3fb44fb5
4 changed files with 73 additions and 37 deletions
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6
ocrd_calamari/ocrd-tool.json
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@ -25,6 +25,12 @@
"voter": {
"description": "The voting algorithm to use",
"type": "string", "default": "confidence_voter_default_ctc"
},
"textequiv_level": {
"type": "string",
"enum": ["line", "word", "glyph"],
"default": "line",
"description": "Deepest PAGE XML hierarchy level to include TextEquiv results for"
}
}
}

66
ocrd_calamari/recognize.py
View file

@ -120,46 +120,48 @@ class CalamariRecognize(Processor):
spaces = (c == ' ')
yield word
word_no = 0
i = 0
if self.parameter['textequiv_level'] in ['word', 'glyph']:
word_no = 0
i = 0
for word_text in _words(prediction.sentence):
word_length = len(word_text)
if not all(c == ' ' for c in word_text):
word_positions = prediction.positions[i:i+word_length]
word_start = word_positions[0].global_start
word_end = word_positions[-1].global_end
for word_text in _words(prediction.sentence):
word_length = len(word_text)
if not all(c == ' ' for c in word_text):
word_positions = prediction.positions[i:i+word_length]
word_start = word_positions[0].global_start
word_end = word_positions[-1].global_end
polygon = polygon_from_x0y0x1y1([word_start, 0, word_end, line_image.height])
points = points_from_polygon(coordinates_for_segment(polygon, None, line_coords))
# XXX Crop to line polygon?
word = WordType(id='%s_word%04d' % (line.id, word_no), Coords=CoordsType(points))
word.add_TextEquiv(TextEquivType(Unicode=word_text))
for glyph_no, p in enumerate(word_positions):
glyph_start = p.global_start
glyph_end = p.global_end
polygon = polygon_from_x0y0x1y1([glyph_start, 0, glyph_end, line_image.height])
polygon = polygon_from_x0y0x1y1([word_start, 0, word_end, line_image.height])
points = points_from_polygon(coordinates_for_segment(polygon, None, line_coords))
# XXX Crop to line polygon?
glyph = GlyphType(id='%s_glyph%04d' % (word.id, glyph_no), Coords=CoordsType(points))
word = WordType(id='%s_word%04d' % (line.id, word_no), Coords=CoordsType(points))
word.add_TextEquiv(TextEquivType(Unicode=word_text))
chars = sorted(p.chars, key=lambda k: k.probability, reverse=True)
char_index = 1 # Must start with 1, see https://ocr-d.github.io/page#multiple-textequivs
for char in chars:
if char.char:
glyph.add_TextEquiv(TextEquivType(Unicode=char.char, index=char_index, conf=char.probability))
char_index += 1
# XXX Note that omission probabilities are not normalized?!
if self.parameter['textequiv_level'] == 'glyph':
for glyph_no, p in enumerate(word_positions):
glyph_start = p.global_start
glyph_end = p.global_end
word.add_Glyph(glyph)
polygon = polygon_from_x0y0x1y1([glyph_start, 0, glyph_end, line_image.height])
points = points_from_polygon(coordinates_for_segment(polygon, None, line_coords))
line.add_Word(word)
word_no += 1
glyph = GlyphType(id='%s_glyph%04d' % (word.id, glyph_no), Coords=CoordsType(points))
i += word_length
chars = sorted(p.chars, key=lambda k: k.probability, reverse=True)
char_index = 1 # Must start with 1, see https://ocr-d.github.io/page#multiple-textequivs
for char in chars:
if char.char:
glyph.add_TextEquiv(TextEquivType(Unicode=char.char, index=char_index, conf=char.probability))
char_index += 1
# XXX Note that omission probabilities are not normalized?!
word.add_Glyph(glyph)
line.add_Word(word)
word_no += 1
i += word_length
_page_update_higher_textequiv_levels('line', pcgts)