sbb_textline_detection: Preserve input PAGE info by merging segmentation results

ocrd_sbb_textline_detection used the output XML by main.py as is, and
– by doing this – threw away any input data from the input PAGE,
including the critical pc:AlternativeImage and the less important
pc:MetadataItem.

Fix this by merging the segmentation results into a file created from
the input file.

Also add a pc:MetadataItem processingStep about the segmentation
operation.
pull/1/head
Gerber, Mike 5 years ago
parent 4fb3e70ef6
commit 4aed06a325

@ -1,11 +1,14 @@
import json
import os
import tempfile
import click
import ocrd_models.ocrd_page
from ocrd import Processor
from ocrd.decorators import ocrd_cli_options, ocrd_cli_wrap_processor
from ocrd_modelfactory import page_from_file
from ocrd_models import OcrdFile
from ocrd_models.ocrd_page_generateds import MetadataItemType, LabelsType, LabelType
from ocrd_utils import concat_padded, getLogger, MIMETYPE_PAGE
from pkg_resources import resource_string
@ -22,10 +25,14 @@ def ocrd_sbb_textline_detector(*args, **kwargs):
return ocrd_cli_wrap_processor(OcrdSbbTextlineDetectorRecognize, *args, **kwargs)
TOOL = 'ocrd_sbb_textline_detector'
class OcrdSbbTextlineDetectorRecognize(Processor):
def __init__(self, *args, **kwargs):
kwargs['ocrd_tool'] = OCRD_TOOL['tools']['ocrd_sbb_textline_detector']
kwargs['ocrd_tool'] = OCRD_TOOL['tools'][TOOL]
kwargs['version'] = OCRD_TOOL['version']
super(OcrdSbbTextlineDetectorRecognize, self).__init__(*args, **kwargs)
def _make_file_id(self, input_file, input_file_grp, n):
@ -49,7 +56,6 @@ class OcrdSbbTextlineDetectorRecognize(Processor):
log.info("INPUT FILE %i / %s", n, input_file)
file_id = self._make_file_id(input_file, self.output_file_grp, n)
image_file = self._resolve_image_file(input_file)
# Process the files
try:
@ -57,16 +63,47 @@ class OcrdSbbTextlineDetectorRecognize(Processor):
except FileExistsError:
pass
with tempfile.TemporaryDirectory() as tmp_dirname:
# Segment the image
image_file = self._resolve_image_file(input_file)
model = self.parameter['model']
x = textlineerkenner(image_file, self.output_file_grp, file_id, model)
x = textlineerkenner(image_file, tmp_dirname, file_id, model)
x.run()
# Read segmentation results
tmp_filename = os.path.join(tmp_dirname, file_id) + '.xml'
tmp_pcgts = ocrd_models.ocrd_page.parse(tmp_filename)
tmp_page = tmp_pcgts.get_Page()
# Create a new PAGE file from the input file
pcgts = page_from_file(self.workspace.download_file(input_file))
page = pcgts.get_Page()
# Merge results → PAGE file
page.set_PrintSpace(tmp_page.get_PrintSpace())
page.set_ReadingOrder(tmp_page.get_ReadingOrder())
page.set_TextRegion(tmp_page.get_TextRegion())
# Save metadata about this operation
metadata = pcgts.get_Metadata()
metadata.add_MetadataItem(
MetadataItemType(type_="processingStep",
name=self.ocrd_tool['steps'][0],
value=TOOL,
Labels=[LabelsType(
externalModel="ocrd-tool",
externalId="parameters",
Label=[LabelType(type_=name, value=self.parameter[name])
for name in self.parameter.keys()])]))
self.workspace.add_file(
ID=file_id,
file_grp=self.output_file_grp,
pageId=page_id,
mimetype='application/vnd.prima.page+xml',
local_filename=os.path.join(self.output_file_grp, file_id) + '.xml')
local_filename=os.path.join(self.output_file_grp, file_id) + '.xml',
content=ocrd_models.ocrd_page.to_xml(pcgts)
)
if __name__ == '__main__':

@ -9,5 +9,4 @@ scikit-learn
tensorflow-gpu < 2.0
scipy
click
ocrd >= 1.0.0b19
ocrd >= 2.0.0

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