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Cursor AgentandDaniel
3622c4598e
Expose the PP-OCRv6 engine through a stable C ABI and installable shared and static libraries, plus a ctypes Python package that follows the RapidOCR call shape. Keep AVX-512 out of the AVX2 object file and speed up GEMM accumulate and the AArch64 GEMM tile. Co-authored-by: Daniel <znsoft@163.com>
35 lines
987 B
Markdown
35 lines
987 B
Markdown
# rapidocr (native PP-OCRv6)
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Python package for the `V5_NG` C++ engine. The import surface follows
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`rapidocr` on `main`:
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```python
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from rapidocr import RapidOCR
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engine = RapidOCR(params={
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"Det.model_path": "PP-OCRv6_det_tiny.onnx",
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"Rec.model_path": "PP-OCRv6_rec_tiny.onnx",
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"Rec.rec_keys_path": "ppocrv6_tiny_dict.txt",
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"Global.use_cls": False,
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})
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result = engine("page.png")
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print(result.txts, result.scores)
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print(result.to_json())
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```
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If model paths are omitted, the package downloads the PP-OCRv6 ONNX bundle
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for `Det.model_type` / `Rec.model_type` (`tiny`, `small`, or `medium`).
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Build a wheel from a checkout that already has the Vulkan-Headers submodule:
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```bash
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pip install scikit-build-core
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pip install ./python
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```
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The binding is ctypes over the C ABI (`include/ppocr/ppocr.h`), so the wheel
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ships `libppocr` and does not add a second C++ wrapper.
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See `docs/API.md` for the differences from `main` (no angle classifier, no
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word boxes, PP-OCRv6 only).
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