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feat: exploring new version

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This commit is contained in:
Georg Heiler
2025-08-18 07:16:31 +02:00
parent 2aef5cf328
commit 7e18637a35
4 changed files with 34 additions and 22 deletions
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10
docs/examples/rapidocr_with_custom_models.py vendored
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@@ -1,6 +1,6 @@
import os
from huggingface_hub import snapshot_download
from modelscope import snapshot_download
from docling.datamodel.pipeline_options import PdfPipelineOptions, RapidOcrOptions
from docling.document_converter import (
@@ -17,17 +17,17 @@ def main():
# Download RappidOCR models from HuggingFace
print("Downloading RapidOCR models")
download_path = snapshot_download(repo_id="SWHL/RapidOCR")
download_path = snapshot_download(repo_id="RapidAI/RapidOCR")
# Setup RapidOcrOptions for english detection
det_model_path = os.path.join(
download_path, "PP-OCRv4", "en_PP-OCRv3_det_infer.onnx"
download_path, "onnx", "PP-OCRv4","det", "en_PP-OCRv3_det_infer.onnx"
)
rec_model_path = os.path.join(
download_path, "PP-OCRv4", "ch_PP-OCRv4_rec_server_infer.onnx"
download_path, "onnx", "PP-OCRv5", "rec", "ch_PP-OCRv5_rec_server_infer.onnx"
)
cls_model_path = os.path.join(
download_path, "PP-OCRv3", "ch_ppocr_mobile_v2.0_cls_train.onnx"
download_path, "onnx", "PP-OCRv4", "cls", "ch_ppocr_mobile_v2.0_cls_infer.onnx"
)
ocr_options = RapidOcrOptions(
det_model_path=det_model_path,

2
docs/installation/index.md vendored
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@@ -31,7 +31,7 @@ Works on macOS, Linux, and Windows, with support for both x86_64 and arm64 archi
| Tesseract | System dependency. See description for Tesseract and Tesserocr below. | `TesseractOcrOptions` |
| Tesseract CLI | System dependency. See description below. | `TesseractCliOcrOptions` |
| OcrMac | System dependency. See description below. | `OcrMacOptions` |
| [RapidOCR](https://github.com/RapidAI/RapidOCR) | Extra feature not included in Default Docling installation can be installed via `pip install rapidocr_onnxruntime` | `RapidOcrOptions` |
| [RapidOCR](https://github.com/RapidAI/RapidOCR) | Extra feature not included in Default Docling installation can be installed via `pip install rapidocr onnxruntime` | `RapidOcrOptions` |
| [OnnxTR](https://github.com/felixdittrich92/OnnxTR) | Can be installed via the plugin system `pip install "docling-ocr-onnxtr[cpu]"`. Please take a look at [docling-OCR-OnnxTR](https://github.com/felixdittrich92/docling-OCR-OnnxTR).| `OnnxtrOcrOptions` |
The Docling `DocumentConverter` allows to choose the OCR engine with the `ocr_options` settings. For example