
* Introduce adaptive OCR Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Factor out BaseOcrModel, add docling-parse backend tests, fixes * Make easyocr default dep Signed-off-by: Christoph Auer <cau@zurich.ibm.com> --------- Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
import logging
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from typing import Iterable
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import numpy
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from docling.datamodel.base_models import BoundingBox, CoordOrigin, OcrCell, Page
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from docling.models.base_ocr_model import BaseOcrModel
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_log = logging.getLogger(__name__)
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class EasyOcrModel(BaseOcrModel):
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def __init__(self, config):
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super().__init__(config)
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self.scale = 3 # multiplier for 72 dpi == 216 dpi.
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if self.enabled:
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import easyocr
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self.reader = easyocr.Reader(config["lang"])
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def __call__(self, page_batch: Iterable[Page]) -> Iterable[Page]:
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if not self.enabled:
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yield from page_batch
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return
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for page in page_batch:
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ocr_rects = self.get_ocr_rects(page)
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all_ocr_cells = []
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for ocr_rect in ocr_rects:
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high_res_image = page._backend.get_page_image(
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scale=self.scale, cropbox=ocr_rect
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)
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im = numpy.array(high_res_image)
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result = self.reader.readtext(im)
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del high_res_image
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del im
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cells = [
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OcrCell(
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id=ix,
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text=line[1],
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confidence=line[2],
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bbox=BoundingBox.from_tuple(
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coord=(
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(line[0][0][0] / self.scale) + ocr_rect.l,
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(line[0][0][1] / self.scale) + ocr_rect.t,
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(line[0][2][0] / self.scale) + ocr_rect.l,
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(line[0][2][1] / self.scale) + ocr_rect.t,
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),
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origin=CoordOrigin.TOPLEFT,
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),
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)
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for ix, line in enumerate(result)
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]
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all_ocr_cells.extend(cells)
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## Remove OCR cells which overlap with programmatic cells.
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filtered_ocr_cells = self.filter_ocr_cells(all_ocr_cells, page.cells)
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page.cells.extend(filtered_ocr_cells)
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# DEBUG code:
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# self.draw_ocr_rects_and_cells(page, ocr_rects)
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yield page
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