End-to-end-for-chinese-plate-recognition

End-to-end-for-chinese-plate-recognition

duanshengliu

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

keras opencv tensorflow
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552 Stars
123 Forks
552 Watchers
Python Language
apache-2.0 License
100 SrcLog Score
Cost to Build
$2.21M
Market Value
$6.49M
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Growth over time

13 data points  ·  2021-08-01 → 2026-04-01
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What is the duanshengliu/End-to-end-for-chinese-plate-recognition GitHub project? Description: "基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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