qurator-spk/sbb_binarization
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Code Issues Releases Wiki Activity

OCR-D CLI: encapsulate model loading into setup(), triggered by init

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This commit is contained in:
Robert Sachunsky 2021-06-10 01:19:43 +02:00
parent 8dd05064b2
commit 02423648ec
1 changed files with 45 additions and 17 deletions
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62
sbb_binarize/ocrd_cli.py
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@ -39,32 +39,60 @@ class SbbBinarizeProcessor(Processor):
def __init__(self, *args, **kwargs):
kwargs['ocrd_tool'] = OCRD_TOOL['tools'][TOOL]
kwargs['version'] = OCRD_TOOL['version']
if not(kwargs.get('show_help', None) or kwargs.get('dump_json', None) or kwargs.get('show_version')):
LOG = getLogger('processor.SbbBinarize.__init__')
if not 'model' in kwargs['parameter']:
raise ValueError("'model' parameter is required")
model_path = Path(kwargs['parameter']['model'])
if not model_path.is_absolute():
if 'SBB_BINARIZE_DATA' in environ and environ['SBB_BINARIZE_DATA']:
LOG.info("Environment variable SBB_BINARIZE_DATA is set to '%s' - prepending to model value '%s'. If you don't want this mechanism, unset the SBB_BINARIZE_DATA environment variable.", environ['SBB_BINARIZE_DATA'], model_path)
model_path = Path(environ['SBB_BINARIZE_DATA']).joinpath(model_path)
model_path = model_path.resolve()
if not model_path.is_dir():
raise FileNotFoundError("Does not exist or is not a directory: %s" % model_path)
kwargs['parameter']['model'] = str(model_path)
super().__init__(*args, **kwargs)
if hasattr(self, 'output_file_grp'):
# processing context
self.setup()
def setup(self):
"""
Set up the model prior to processing.
"""
LOG = getLogger('processor.SbbBinarize.__init__')
if not 'model' in self.parameter:
raise ValueError("'model' parameter is required")
# resolve relative path via environment variable
model_path = Path(self.parameter['model'])
if not model_path.is_absolute():
if 'SBB_BINARIZE_DATA' in environ and environ['SBB_BINARIZE_DATA']:
LOG.info("Environment variable SBB_BINARIZE_DATA is set to '%s'" \
" - prepending to model value '%s'. If you don't want this mechanism," \
" unset the SBB_BINARIZE_DATA environment variable.",
environ['SBB_BINARIZE_DATA'], model_path)
model_path = Path(environ['SBB_BINARIZE_DATA']).joinpath(model_path)
model_path = model_path.resolve()
if not model_path.is_dir():
raise FileNotFoundError("Does not exist or is not a directory: %s" % model_path)
# resolve relative path via OCR-D ResourceManager
model_path = self.resolve_resource(str(model_path))
self.binarizer = SbbBinarizer(model_dir=model_path, logger=LOG)
def process(self):
"""
Binarize with sbb_binarization
Binarize images with sbb_binarization (based on selectional auto-encoders).
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 requested ``operation_level``.
For each segment element, retrieve a raw (non-binarized) segment image
according to the layout annotation (from an existing ``AlternativeImage``,
or by cropping into the higher-level images, and deskewing when applicable).
Pass the image to the binarizer (which runs in fixed-size windows/patches
across the image and stitches the results together).
Serialize the resulting bilevel image as PNG file and add it to the output
file group (with file ID suffix ``.IMG-BIN``) along with the output PAGE-XML
(referencing it as new ``AlternativeImage`` for the segment element).
Produce a new PAGE output file by serialising the resulting hierarchy.
"""
LOG = getLogger('processor.SbbBinarize')
assert_file_grp_cardinality(self.input_file_grp, 1)
assert_file_grp_cardinality(self.output_file_grp, 1)
oplevel = self.parameter['operation_level']
model_path = self.resolve_resource(self.parameter['model'])
binarizer = SbbBinarizer(model_dir=model_path, logger=LOG)
for n, input_file in enumerate(self.input_files):
file_id = make_file_id(input_file, self.output_file_grp)
@ -78,7 +106,7 @@ class SbbBinarizeProcessor(Processor):
if oplevel == 'page':
LOG.info("Binarizing on 'page' level in page '%s'", page_id)
bin_image = cv2pil(binarizer.run(image=pil2cv(page_image), use_patches=True))
bin_image = cv2pil(self.binarizer.run(image=pil2cv(page_image), use_patches=True))
# update METS (add the image file):
bin_image_path = self.workspace.save_image_file(bin_image,
file_id + '.IMG-BIN',