| 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. |
|
|
| |
| plate_yolox_tiny_640.onnx and best_ckpt.pth |
| |
| 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 |
| |
| 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. |
|
|
