szad670401/HyperLPR
High-performance Chinese license plate recognition framework using deep learning models.
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HyperLPR is a Chinese license plate recognition system built on TensorFlow. It detects and recognizes license plates in images and video streams using CNN-based models. The project provides Python and Android SDKs, a CLI for batch processing, and a REST API service with SwaggerUI for easy integration into applications.
Frequently asked
- What is szad670401/HyperLPR?
- High-performance Chinese license plate recognition framework using deep learning models.
- Is HyperLPR open source?
- Yes — szad670401/HyperLPR is open source, released under the Apache-2.0 license.
- What language is HyperLPR written in?
- szad670401/HyperLPR is primarily written in C++.
- How popular is HyperLPR?
- szad670401/HyperLPR has 6.2k stars on GitHub.
- Where can I find HyperLPR?
- szad670401/HyperLPR is on GitHub at https://github.com/szad670401/HyperLPR.