Docling/tests/test_e2e_ocr_conversion.py
Swaymaw 85b29990be
feat(ocr): added support for RapidOCR engine (#415)
* adding rapidocr engine for ocr in docling

Signed-off-by: swayam-singhal <swayam.singhal@inito.com>

* fixing styling format

Signed-off-by: Swaymaw <swaymaw@gmail.com>

* updating pyproject.toml and poetry.lock to fix ci bugs

Signed-off-by: Swaymaw <swaymaw@gmail.com>

* help poetry pinning for python3.9

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* simplifying rapidocr options so that device can be changed using a single option for all models

Signed-off-by: Swaymaw <swaymaw@gmail.com>

* fix styling issues and small bug in rapidOcrOptions

Signed-off-by: Swaymaw <swaymaw@gmail.com>

* use default device until we enable global management

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

---------

Signed-off-by: swayam-singhal <swayam.singhal@inito.com>
Signed-off-by: Swaymaw <swaymaw@gmail.com>
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
Co-authored-by: swayam-singhal <swayam.singhal@inito.com>
Co-authored-by: Michele Dolfi <dol@zurich.ibm.com>
2024-11-27 13:57:41 +01:00

93 lines
2.7 KiB
Python

import sys
from pathlib import Path
from typing import List
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import ConversionResult
from docling.datamodel.pipeline_options import (
EasyOcrOptions,
OcrMacOptions,
OcrOptions,
PdfPipelineOptions,
RapidOcrOptions,
TesseractCliOcrOptions,
TesseractOcrOptions,
)
from docling.document_converter import DocumentConverter, PdfFormatOption
from .verify_utils import verify_conversion_result_v1, verify_conversion_result_v2
GENERATE_V1 = False
GENERATE_V2 = False
def get_pdf_paths():
# Define the directory you want to search
directory = Path("./tests/data_scanned")
# List all PDF files in the directory and its subdirectories
pdf_files = sorted(directory.rglob("*.pdf"))
return pdf_files
def get_converter(ocr_options: OcrOptions):
pipeline_options = PdfPipelineOptions()
pipeline_options.do_ocr = True
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
pipeline_options.ocr_options = ocr_options
converter = DocumentConverter(
format_options={
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options,
backend=DoclingParseDocumentBackend,
)
}
)
return converter
def test_e2e_conversions():
pdf_paths = get_pdf_paths()
engines: List[OcrOptions] = [
EasyOcrOptions(),
TesseractOcrOptions(),
TesseractCliOcrOptions(),
RapidOcrOptions(),
EasyOcrOptions(force_full_page_ocr=True),
TesseractOcrOptions(force_full_page_ocr=True),
TesseractCliOcrOptions(force_full_page_ocr=True),
RapidOcrOptions(force_full_page_ocr=True),
]
# only works on mac
if "darwin" == sys.platform:
engines.append(OcrMacOptions())
engines.append(OcrMacOptions(force_full_page_ocr=True))
for ocr_options in engines:
print(f"Converting with ocr_engine: {ocr_options.kind}")
converter = get_converter(ocr_options=ocr_options)
for pdf_path in pdf_paths:
print(f"converting {pdf_path}")
doc_result: ConversionResult = converter.convert(pdf_path)
verify_conversion_result_v1(
input_path=pdf_path,
doc_result=doc_result,
generate=GENERATE_V1,
fuzzy=True,
)
verify_conversion_result_v2(
input_path=pdf_path,
doc_result=doc_result,
generate=GENERATE_V2,
fuzzy=True,
)