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docs: Introduce example with custom models for RapidOCR (#874)
* docs: Introduce example with custom models for RapidOCR Signed-off-by: Nikos Livathinos <[email protected]> * chore: Exclude the example with custom RapidOCR models from the examples to run in github actions Signed-off-by: Nikos Livathinos <[email protected]> --------- Signed-off-by: Nikos Livathinos <[email protected]>
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import os | ||
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from huggingface_hub import snapshot_download | ||
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from docling.datamodel.pipeline_options import PdfPipelineOptions, RapidOcrOptions | ||
from docling.document_converter import ( | ||
ConversionResult, | ||
DocumentConverter, | ||
InputFormat, | ||
PdfFormatOption, | ||
) | ||
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def main(): | ||
# Source document to convert | ||
source = "https://arxiv.org/pdf/2408.09869v4" | ||
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# Download RappidOCR models from HuggingFace | ||
print("Downloading RapidOCR models") | ||
download_path = snapshot_download(repo_id="SWHL/RapidOCR") | ||
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# 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, | ||
) | ||
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pipeline_options = PdfPipelineOptions( | ||
ocr_options=ocr_options, | ||
) | ||
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# Convert the document | ||
converter = DocumentConverter( | ||
format_options={ | ||
InputFormat.PDF: PdfFormatOption( | ||
pipeline_options=pipeline_options, | ||
), | ||
}, | ||
) | ||
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conversion_result: ConversionResult = converter.convert(source=source) | ||
doc = conversion_result.document | ||
md = doc.export_to_markdown() | ||
print(md) | ||
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if __name__ == "__main__": | ||
main() |
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