#136 · Primary category: Computer Vision

HyperLPR

android cpp deep-learning plate-recognition tensorflow

High Performance Chinese License Plate Recognition Framework.

Project last updated:02/28/25

GitHub Stars

6.3K

Forks

2.1K

Contributors

24

License

Apache-2.0

Why we included this project

HyperLPR is a good fit for teams that need to recognize Chinese license plates in images or video and would rather not build the whole pipeline themselves. The same core is packaged as a pip-installable Python library, a C/C++ SDK for Linux and macOS, and an Android library, so one recognition model can serve both a server backend and an on-device app. The project is built for speed: the README reports real-time 720p processing on a laptop CPU, which matters if you want to avoid a GPU dependency for something like traffic monitoring or parking lot entry. A small REST server with Swagger UI makes it easy to try the API before wiring it into a larger system. One honest caveat: the training data is not released for legal and privacy reasons, and the current training code is not fully documented yet, but the ready-made models and simple interface let you get a working plate reader running quickly.

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