ppocr_rust
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-OCRv6 small ONNX (det + rec), recognition charset is read from the rec model's embedded
charactermetadata.
License: Apache-2.0
Release files for j-ppocr 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| j_ppocr-0.2.0-cp311-abi3-win_arm64.whl | CPython 3.11 | abi3 | Windows ARM64 | Details |
| j_ppocr-0.2.0-cp311-abi3-win_amd64.whl | CPython 3.11 | abi3 | Windows x86-64 | Details |
Total release size: 13.2 MB
Release files / j_ppocr-0.2.0-cp311-abi3-win_arm64.whl
| Download URL | j_ppocr-0.2.0-cp311-abi3-win_arm64.whl |
|---|---|
| Size | 6.4 MB |
| Tags | CPython 3.11 Windows ARM64 abi3 |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Release files / j_ppocr-0.2.0-cp311-abi3-win_amd64.whl
| Download URL | j_ppocr-0.2.0-cp311-abi3-win_amd64.whl |
|---|---|
| Size | 6.8 MB |
| Tags | CPython 3.11 Windows x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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