j-ppocr
PP-OCR (PaddleOCR) ONNX inference for Python, implemented in Rust with ort (ONNX Runtime).
- Detection (DBNet) + Recognition (CRNN/CTC), no OpenCV / numpy dependency on the Python side.
- Runs inference on native threads (no Python GIL contention).
- Models: PP-OCR v4/v5/v6 ONNX (det + rec). The recognition charset comes from the rec model's embedded
charactermetadata or a separate dictionary file, and must match the model's output classes. - Model management for a
models/folder: the built-in download catalog, discovery of installed models, importing and validating user-supplied models, placing downloaded models, and removal.
The distribution is j-ppocr; the module imports as ppocr_rust.
Windows x86_64 or ARM64, CPython 3.11+ (abi3). Part of jietuba.
License: Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for j-ppocr 0.3.0
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| j_ppocr-0.3.0-cp311-abi3-win_arm64.whl | CPython 3.11 | abi3 | Windows ARM64 | Details for j_ppocr-0.3.0-cp311-abi3-win_arm64.whl |
| j_ppocr-0.3.0-cp311-abi3-win_amd64.whl | CPython 3.11 | abi3 | Windows x86-64 | Details for j_ppocr-0.3.0-cp311-abi3-win_amd64.whl |
Total release size: 13.5 MB
Release files / j_ppocr-0.3.0-cp311-abi3-win_arm64.whl
| Download URL | j_ppocr-0.3.0-cp311-abi3-win_arm64.whl |
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| Size | 6.6 MB |
| Tags | CPython 3.11 Windows ARM64 abi3 |
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Release files / j_ppocr-0.3.0-cp311-abi3-win_amd64.whl
| Download URL | j_ppocr-0.3.0-cp311-abi3-win_amd64.whl |
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| Size | 6.9 MB |
| Tags | CPython 3.11 Windows x86-64 abi3 |
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