mirror of
https://github.com/DS4SD/docling.git
synced 2025-08-02 23:42:22 +00:00
98 lines
3.7 KiB
Python
98 lines
3.7 KiB
Python
import logging
|
|
from typing import Iterable
|
|
|
|
import numpy
|
|
from docling_core.types.doc import BoundingBox, CoordOrigin
|
|
|
|
from docling.datamodel.base_models import OcrCell, Page
|
|
from docling.datamodel.document import ConversionResult
|
|
from docling.datamodel.pipeline_options import PaddleOcrOptions
|
|
from docling.datamodel.settings import settings
|
|
from docling.models.base_ocr_model import BaseOcrModel
|
|
from docling.utils.profiling import TimeRecorder
|
|
|
|
_log = logging.getLogger(__name__)
|
|
|
|
|
|
class PaddleOcrModel(BaseOcrModel):
|
|
def __init__(self, enabled: bool, options: PaddleOcrOptions):
|
|
super().__init__(enabled=enabled, options=options)
|
|
self.options: PaddleOcrOptions
|
|
|
|
self.scale = 3 # multiplier for 72 dpi == 216 dpi.
|
|
|
|
if self.enabled:
|
|
try:
|
|
from paddleocr import PaddleOCR, draw_ocr
|
|
except ImportError:
|
|
raise ImportError(
|
|
"PaddleOCR is not installed. Please install it via `pip install paddlepaddle` and `pip install paddleocr` to use this OCR engine. "
|
|
"Alternatively, Docling has support for other OCR engines. See the documentation."
|
|
)
|
|
|
|
self.reader = PaddleOCR(
|
|
lang=self.options.lang[0],
|
|
use_gpu=self.options.use_gpu,
|
|
use_angle_cls=self.options.use_angle_cls,
|
|
show_log=self.options.show_log,
|
|
)
|
|
|
|
def __call__(
|
|
self, conv_res: ConversionResult, page_batch: Iterable[Page]
|
|
) -> Iterable[Page]:
|
|
|
|
if not self.enabled:
|
|
yield from page_batch
|
|
return
|
|
|
|
for page in page_batch:
|
|
|
|
assert page._backend is not None
|
|
if not page._backend.is_valid():
|
|
yield page
|
|
else:
|
|
with TimeRecorder(conv_res, "ocr"):
|
|
ocr_rects = self.get_ocr_rects(page)
|
|
|
|
all_ocr_cells = []
|
|
for ocr_rect in ocr_rects:
|
|
# Skip zero area boxes
|
|
if ocr_rect.area() == 0:
|
|
continue
|
|
high_res_image = page._backend.get_page_image(
|
|
scale=self.scale, cropbox=ocr_rect
|
|
)
|
|
im = numpy.array(high_res_image)
|
|
result = self.reader.ocr(im, cls=self.options.cls)[0]
|
|
|
|
del high_res_image
|
|
del im
|
|
|
|
cells = [
|
|
OcrCell(
|
|
id=ix,
|
|
text=line[1][0],
|
|
confidence=line[1][1],
|
|
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)
|
|
|
|
# Post-process the cells
|
|
page.cells = self.post_process_cells(all_ocr_cells, page.cells)
|
|
|
|
# DEBUG code:
|
|
if settings.debug.visualize_ocr:
|
|
self.draw_ocr_rects_and_cells(conv_res, page, ocr_rects)
|
|
|
|
yield page
|