End-to-end-for-chinese-plate-recognition
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
Detect, correct, and recognize Chinese license plates using a software built on deep learning techniques.
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Free · no card · unsubscribe anytime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
End-to-end-for-chinese-plate-recognition has 548 stars on GitHub. It has been forked 123 times. End-to-end-for-chinese-plate-recognition is written mainly in Python. It has been in active development since 2020. End-to-end-for-chinese-plate-recognition is available under the Apache-2.0 license. Its main topics are computer-vision, image-recognition, image-segmentation, keras.
What is End-to-end-for-chinese-plate-recognition?
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
Is End-to-end-for-chinese-plate-recognition open source?
End-to-end-for-chinese-plate-recognition is an open-source project. It is released under the Apache-2.0 license.
Is End-to-end-for-chinese-plate-recognition free?
Yes. End-to-end-for-chinese-plate-recognition is free and open source — you can use, modify and self-host it.
What license does End-to-end-for-chinese-plate-recognition use?
End-to-end-for-chinese-plate-recognition is available under the Apache-2.0 license.
What language is End-to-end-for-chinese-plate-recognition written in?
End-to-end-for-chinese-plate-recognition is written mainly in Python.
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