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sbb_binarization/sbb_binarize/ocrd_cli.py

129 lines
6.0 KiB
Python

from os import environ
from os.path import join
from pathlib import Path
from pkg_resources import resource_string
from json import loads
from PIL import Image
import numpy as np
import cv2
from click import command
from ocrd_utils import (
getLogger,
assert_file_grp_cardinality,
make_file_id,
MIMETYPE_PAGE
)
from ocrd import Processor
from ocrd_modelfactory import page_from_file
from ocrd_models.ocrd_page import AlternativeImageType, to_xml
from ocrd.decorators import ocrd_cli_options, ocrd_cli_wrap_processor
from .sbb_binarize import SbbBinarizer
OCRD_TOOL = loads(resource_string(__name__, 'ocrd-tool.json').decode('utf8'))
TOOL = 'ocrd-sbb-binarize'
def cv2pil(img):
return Image.fromarray(img.astype('uint8'))
def pil2cv(img):
# from ocrd/workspace.py
color_conversion = cv2.COLOR_GRAY2BGR if img.mode in ('1', 'L') else cv2.COLOR_RGB2BGR
pil_as_np_array = np.array(img).astype('uint8') if img.mode == '1' else np.array(img)
return cv2.cvtColor(pil_as_np_array, color_conversion)
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')):
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:
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)
def process(self):
"""
Binarize with sbb_binarization
"""
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.parameter['model'] # pylint: disable=attribute-defined-outside-init
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)
page_id = input_file.pageId or input_file.ID
LOG.info("INPUT FILE %i / %s", n, page_id)
pcgts = page_from_file(self.workspace.download_file(input_file))
self.add_metadata(pcgts)
pcgts.set_pcGtsId(file_id)
page = pcgts.get_Page()
if oplevel == 'page':
LOG.info("Binarizing on 'page' level in page '%s'", page_id)
page_image, page_xywh, _ = self.workspace.image_from_page(page, page_id, feature_filter='binarized')
bin_image = cv2pil(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',
page_id=input_file.pageId,
file_grp=self.output_file_grp)
page.add_AlternativeImage(AlternativeImageType(filename=bin_image_path, comments='%s,binarized' % page_xywh['features']))
elif oplevel == 'region':
regions = page.get_AllRegions(['Text', 'Table'], depth=1)
if not regions:
LOG.warning("Page '%s' contains no text/table regions", page_id)
for region in regions:
region_image, region_xywh = self.workspace.image_from_segment(region, page_image, page_xywh, feature_filter='binarized')
region_image_bin = cv2pil(binarizer.run(image=pil2cv(region_image), use_patches=True))
region_image_bin_path = self.workspace.save_image_file(
region_image_bin,
"%s_%s.IMG-BIN" % (file_id, region.id),
page_id=input_file.pageId,
file_grp=self.output_file_grp)
region.add_AlternativeImage(
AlternativeImageType(filename=region_image_bin_path, comments='%s,binarized' % region_xywh['features']))
elif oplevel == 'line':
region_line_tuples = [(r.id, r.get_TextLine()) for r in page.get_AllRegions(['Text'], depth=0)]
if not region_line_tuples:
LOG.warning("Page '%s' contains no text lines", page_id)
for region_id, line in region_line_tuples:
line_image, line_xywh = self.workspace.image_from_segment(line, page_image, page_xywh, feature_filter='binarized')
line_image_bin = cv2pil(binarizer.run(image=pil2cv(line_image), use_patches=True))
line_image_bin_path = self.workspace.save_image_file(
line_image_bin,
"%s_%s_%s.IMG-BIN" % (file_id, region_id, line.id),
page_id=input_file.pageId,
file_grp=self.output_file_grp)
line.add_AlternativeImage(
AlternativeImageType(filename=line_image_bin_path, comments='%s,binarized' % line_xywh['features']))
self.workspace.add_file(
ID=file_id,
file_grp=self.output_file_grp,
pageId=input_file.pageId,
mimetype=MIMETYPE_PAGE,
local_filename=join(self.output_file_grp, file_id + '.xml'),
content=to_xml(pcgts))
@command()
@ocrd_cli_options
def cli(*args, **kwargs):
return ocrd_cli_wrap_processor(SbbBinarizeProcessor, *args, **kwargs)