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89 lines
3.5 KiB
Python
89 lines
3.5 KiB
Python
from __future__ import absolute_import
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import os
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from glob import glob
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import numpy as np
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from calamari_ocr.ocr import MultiPredictor
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from calamari_ocr.ocr.voting import voter_from_proto
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from calamari_ocr.proto import VoterParams
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from ocrd import Processor
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from ocrd_modelfactory import page_from_file
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from ocrd_models import ocrd_page
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from ocrd_models.ocrd_page import to_xml
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from ocrd_models.ocrd_page_generateds import TextEquivType
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from ocrd_utils import getLogger, concat_padded, polygon_from_points, MIMETYPE_PAGE
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from ocrd_calamari.config import OCRD_TOOL, TF_CPP_MIN_LOG_LEVEL
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log = getLogger('processor.CalamariOcr')
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# TODO: Should this be "recognize", not "ocr" akin ocrd_tesserocr?
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class CalamariOcr(Processor):
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def __init__(self, *args, **kwargs):
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kwargs['ocrd_tool'] = OCRD_TOOL['tools']['ocrd-calamari-ocr']
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super(CalamariOcr, self).__init__(*args, **kwargs)
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def _init_calamari(self):
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = TF_CPP_MIN_LOG_LEVEL
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checkpoints = glob('/home/mike/devel/experiments/train-calamari-gt4histocr/models/*.ckpt.json') # XXX
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self.predictor = MultiPredictor(checkpoints=checkpoints)
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voter_params = VoterParams()
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voter_params.type = VoterParams.Type.Value('confidence_voter_default_ctc'.upper())
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self.voter = voter_from_proto(voter_params)
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def resolve_image_as_np(self, image_url, coords):
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return np.array(self.workspace.resolve_image_as_pil(image_url, coords), dtype=np.uint8)
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def _make_file_id(self, input_file, n):
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file_id = input_file.ID.replace(self.input_file_grp, self.output_file_grp)
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if file_id == input_file.ID:
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file_id = concat_padded(self.output_file_grp, n)
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return file_id
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def process(self):
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"""
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Performs the recognition.
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"""
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self._init_calamari()
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for (n, input_file) in enumerate(self.input_files):
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log.info("INPUT FILE %i / %s", n, input_file)
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pcgts = page_from_file(self.workspace.download_file(input_file))
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image_url = pcgts.get_Page().imageFilename
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log.info("pcgts %s", pcgts)
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for region in pcgts.get_Page().get_TextRegion():
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textlines = region.get_TextLine()
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log.info("About to recognize %i lines of region '%s'", len(textlines), region.id)
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for (line_no, line) in enumerate(textlines):
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log.debug("Recognizing line '%s' in region '%s'", line_no, region.id)
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image = self.resolve_image_as_np(image_url, polygon_from_points(line.get_Coords().points))
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raw_results = list(self.predictor.predict_raw([image], progress_bar=False))[0]
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for i, p in enumerate(raw_results):
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p.prediction.id = "fold_{}".format(i)
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prediction = self.voter.vote_prediction_result(raw_results)
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prediction.id = "voted"
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line_text = prediction.sentence
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line_conf = prediction.avg_char_probability
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line.add_TextEquiv(TextEquivType(Unicode=line_text, conf=line_conf))
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file_id = self._make_file_id(input_file, n)
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self.workspace.add_file(
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ID=file_id,
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file_grp=self.output_file_grp,
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pageId=input_file.pageId,
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mimetype=MIMETYPE_PAGE,
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local_filename=os.path.join(self.output_file_grp, file_id + '.xml'),
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content=to_xml(pcgts))
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