raven-github/multi-line-plate-recognition

Multi-line license plate recognition

Multi-line license plate recognition

A simple code for creating licence plate images and train e2e network based on a paper named an End-to-End Neural Network for Multi-line License Plate Recognition of ICPR2018

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Author	deeplearningshare
E-mail	[email protected]

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Requirements

• tensorflow-gpu 1.9.0
• python 3.6.5
• some common packages like numpy and so on.

Quick start

• run create_train_data.py to create plate image and corresponding labels. This repository also contains the plate generator and can generate thousands of plates.
• then run createImage_data.py to create pp.npy file
• reset the train data path and run train_nn.py to train your model.

Attention

I only submit the method of creating the singal line plate ,I will submit the method of creating the double line plate later

test result

singal line: train :20000 test:2000 acc:99.98%

double line: train:20000 test:2000 acc:99.95% all the test result base on Artificially generated license plate