open-lpr models
Copyright the open-lpr contributors

This product includes software developed by third parties. The artifacts in
this repository are NOT all ours; per-artifact provenance is recorded in
manifest.json and summarised below.

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plate_yolox_tiny_640.onnx  and  best_ckpt.pth
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Produced by this project. Architecture from YOLOX (Megvii-BaseDetection/YOLOX),
which is licensed Apache-2.0 for both its code and its same-repository release
weights. Pretrained from COCO (yolox_tiny.pth), then fine-tuned on an annotated
licence-plate corpus plus community-contributed images pseudo-labelled by a
teacher model.

The training imagery is not published. It consists of user-contributed
photographs containing real licence plates, faces and vehicles, uploaded without
consent obtained. Publishing it would create a searchable index of real vehicle
registration numbers.

Ultralytics YOLO weights are licensed AGPL-3.0 and are deliberately NOT used,
redistributed, or derived from anywhere in this project.

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plate_ocr_ppocrv5_mobile.onnx  and  plate_ocr_dict.json
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NOT produced by this project. These are conversions of an upstream recognition
model from PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR), which is
licensed under Apache-2.0.

The specific upstream release was never recorded and cannot be recovered from
the artifacts: the ONNX graph carries no producer, producer_version or
doc_string, and no PaddlePaddle installation, wheel or shell history survives on
the build host. The Apache-2.0 licence is therefore asserted at project level
and is NOT pinned to a verified release.

These two files are a MATCHED PAIR and must be used together. Decoding assumes
len(dictionary) + 2 output classes; substituting either without the other
produces silently incorrect text rather than an error.