使用自定义OCR模型的RapidOCR

import os

from huggingface_hub import snapshot_download

from docling.datamodel.pipeline_options import PdfPipelineOptions, RapidOcrOptions
from docling.document_converter import (
    ConversionResult,
    DocumentConverter,
    InputFormat,
    PdfFormatOption,
)

def main():
    # Source document to convert
    source = "https://arxiv.org/pdf/2408.09869v4"

    # Download RappidOCR models from HuggingFace
    print("Downloading RapidOCR models")
    download_path = snapshot_download(repo_id="SWHL/RapidOCR")

    # Setup RapidOcrOptions for english detection
    det_model_path = os.path.join(
        download_path, "PP-OCRv4", "en_PP-OCRv3_det_infer.onnx"
    )
    rec_model_path = os.path.join(
        download_path, "PP-OCRv4", "ch_PP-OCRv4_rec_server_infer.onnx"
    )
    cls_model_path = os.path.join(
        download_path, "PP-OCRv3", "ch_ppocr_mobile_v2.0_cls_train.onnx"
    )
    ocr_options = RapidOcrOptions(
        det_model_path=det_model_path,
        rec_model_path=rec_model_path,
        cls_model_path=cls_model_path,
    )

    pipeline_options = PdfPipelineOptions(
        ocr_options=ocr_options,
    )

    # Convert the document
    converter = DocumentConverter(
        format_options={
            InputFormat.PDF: PdfFormatOption(
                pipeline_options=pipeline_options,
            ),
        },
    )

    conversion_result: ConversionResult = converter.convert(source=source)
    doc = conversion_result.document
    md = doc.export_to_markdown()
    print(md)

if __name__ == "__main__":
    main()