53327552e8
* Expose `rec_keys_path` in RapidOcrOptions to support custom dictionaries - Added `rec_keys_path` to `RapidOcrOptions` to align with RapidOCR's capability to use custom character dictionaries. - Passed `rec_keys_path` to `RapidOcrModel` initialization, ensuring the recognition model can load the correct dictionary (e.g., for Latin characters). Signed-off-by: Yorick Terweijden <yorick@spread.ai> * style(rapidocr-options): fix alignment of `rec_keys_path` comment Adjusted the alignment of the comment for `rec_keys_path` to maintain consistent formatting. No functional changes were made. Signed-off-by: Yorick Terweijden <yorick@spread.ai> --------- Signed-off-by: Yorick Terweijden <yorick@spread.ai>
129 lines
4.9 KiB
Python
129 lines
4.9 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 (
|
|
AcceleratorDevice,
|
|
AcceleratorOptions,
|
|
RapidOcrOptions,
|
|
)
|
|
from docling.datamodel.settings import settings
|
|
from docling.models.base_ocr_model import BaseOcrModel
|
|
from docling.utils.accelerator_utils import decide_device
|
|
from docling.utils.profiling import TimeRecorder
|
|
|
|
_log = logging.getLogger(__name__)
|
|
|
|
|
|
class RapidOcrModel(BaseOcrModel):
|
|
def __init__(
|
|
self,
|
|
enabled: bool,
|
|
options: RapidOcrOptions,
|
|
accelerator_options: AcceleratorOptions,
|
|
):
|
|
super().__init__(enabled=enabled, options=options)
|
|
self.options: RapidOcrOptions
|
|
|
|
self.scale = 3 # multiplier for 72 dpi == 216 dpi.
|
|
|
|
if self.enabled:
|
|
try:
|
|
from rapidocr_onnxruntime import RapidOCR # type: ignore
|
|
except ImportError:
|
|
raise ImportError(
|
|
"RapidOCR is not installed. Please install it via `pip install rapidocr_onnxruntime` to use this OCR engine. "
|
|
"Alternatively, Docling has support for other OCR engines. See the documentation."
|
|
)
|
|
|
|
# Decide the accelerator devices
|
|
device = decide_device(accelerator_options.device)
|
|
use_cuda = str(AcceleratorDevice.CUDA.value).lower() in device
|
|
use_dml = accelerator_options.device == AcceleratorDevice.AUTO
|
|
intra_op_num_threads = accelerator_options.num_threads
|
|
|
|
self.reader = RapidOCR(
|
|
text_score=self.options.text_score,
|
|
cls_use_cuda=use_cuda,
|
|
rec_use_cuda=use_cuda,
|
|
det_use_cuda=use_cuda,
|
|
det_use_dml=use_dml,
|
|
cls_use_dml=use_dml,
|
|
rec_use_dml=use_dml,
|
|
intra_op_num_threads=intra_op_num_threads,
|
|
print_verbose=self.options.print_verbose,
|
|
det_model_path=self.options.det_model_path,
|
|
cls_model_path=self.options.cls_model_path,
|
|
rec_model_path=self.options.rec_model_path,
|
|
rec_keys_path=self.options.rec_keys_path,
|
|
)
|
|
|
|
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(
|
|
im,
|
|
use_det=self.options.use_det,
|
|
use_cls=self.options.use_cls,
|
|
use_rec=self.options.use_rec,
|
|
)
|
|
|
|
del high_res_image
|
|
del im
|
|
|
|
if result is not None:
|
|
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)
|
|
|
|
# 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
|