Docling/docling/models/easyocr_model.py
Christoph Auer e94d317c02
feat: Add adaptive OCR, factor out treatment of OCR areas and cell filtering (#38)
* 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>
2024-08-20 15:28:03 +02:00

71 lines
2.2 KiB
Python

import logging
from typing import Iterable
import numpy
from docling.datamodel.base_models import BoundingBox, CoordOrigin, OcrCell, Page
from docling.models.base_ocr_model import BaseOcrModel
_log = logging.getLogger(__name__)
class EasyOcrModel(BaseOcrModel):
def __init__(self, config):
super().__init__(config)
self.scale = 3 # multiplier for 72 dpi == 216 dpi.
if self.enabled:
import easyocr
self.reader = easyocr.Reader(config["lang"])
def __call__(self, page_batch: Iterable[Page]) -> Iterable[Page]:
if not self.enabled:
yield from page_batch
return
for page in page_batch:
ocr_rects = self.get_ocr_rects(page)
all_ocr_cells = []
for ocr_rect in ocr_rects:
high_res_image = page._backend.get_page_image(
scale=self.scale, cropbox=ocr_rect
)
im = numpy.array(high_res_image)
result = self.reader.readtext(im)
del high_res_image
del im
cells = [
OcrCell(
id=ix,
text=line[1],
confidence=line[2],
bbox=BoundingBox.from_tuple(
coord=(
(line[0][0][0] / self.scale) + ocr_rect.l,
(line[0][0][1] / self.scale) + ocr_rect.t,
(line[0][2][0] / self.scale) + ocr_rect.l,
(line[0][2][1] / self.scale) + ocr_rect.t,
),
origin=CoordOrigin.TOPLEFT,
),
)
for ix, line in enumerate(result)
]
all_ocr_cells.extend(cells)
## Remove OCR cells which overlap with programmatic cells.
filtered_ocr_cells = self.filter_ocr_cells(all_ocr_cells, page.cells)
page.cells.extend(filtered_ocr_cells)
# DEBUG code:
# self.draw_ocr_rects_and_cells(page, ocr_rects)
yield page