improve process() docstring

fix/readme-no-checkpoint
Robert Sachunsky 4 years ago
parent 3bde7cb37f
commit 4c6d6655e1

@ -67,7 +67,31 @@ class CalamariRecognize(Processor):
def process(self): def process(self):
""" """
Performs the recognition. Perform text recognition with Calamari on the workspace.
For each page of the input file group, open and deserialize input PAGE-XML
and its respective images. Then iterate over the element hierarchy down to
the line level.
For each textline, retrieve a segment image according to the layout annotation
(from an existing ``AlternativeImage``, or by cropping into the higher-level
images, and deskewing when applicable).
If the line element contained any previous text results or word segmentation,
delete it.
Convert the line image to a Numpy array and pass it to the recognizer. Aggregate
character results on the line level, stripping leading and trailing white space,
and selecting the best hypothesis for each position. Annotate the resulting
TextEquiv string and (average) confidence on the line segment.
If ``texequiv_level`` is ``word`` or ``glyph``, then additionally create word
level segments by splitting at white space characters, using the vertical
line coordinates and horizontal white space boundaries. In the case of ``glyph``,
create glyph level segments as well, adding all alternative character hypotheses
down to ``glyph_conf_cutoff`` confidence threshold.
Produce a new PAGE output file by serialising the resulting hierarchy.
""" """
log = getLogger('processor.CalamariRecognize') log = getLogger('processor.CalamariRecognize')

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