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camstack-models / plateDetection /yolox-tiny-plate /SOURCE.md
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apocaliss92
feat: plateDetection/yolox-tiny-plate (open-lpr YOLOX-tiny, Apache-2.0)
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Source of plateDetection/yolox-tiny-plate

Upstream repository https://huggingface.co/faisalthaheem/open-lpr-models
Upstream tag / commit detector-2026.10.1 / aed0df35ec2891c5a90437041ebeadb592cc516b
Upstream file plate_yolox_tiny_640.onnx, 20183226 bytes, sha256 e5350bb2152eb44fa129b2438d1e39bbbf3c27accfe51cd893ce6e17d028d0b9
Upstream LICENSE sha256 c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4 (copied here verbatim)
Upstream NOTICE sha256 8fe7b8450e295ba3a1aae6359cee0cbe69142d2a8b8a395b4ddfb28ad8154fd2 (copied here verbatim)
Weights licence Apache-2.0
Training data not published; terms UNKNOWN (see README.md)

Rebuild every file in this folder from the pinned upstream file:

python3 scripts/build-yolox-plate-model.py <work-dir>

in the CamStack repository (https://github.com/camstack/server). The script downloads the upstream ONNX by commit and refuses it if the sha256 differs, applies the graph edit described in README.md, converts the edited ONNX to OpenVINO IR (fp16 weights) and CoreML (fp16) with CamStack's convert_lib.py, and checks that the edit is exact and that the three runtimes return the same detections.