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crnn_chinese_characters_rec's Introduction

Crnn_chinese_characters_rec

chinese characters recognition

Test

There are images in test_images file, and you just run as follow.

  • python3 test.py

Train

before traning, you should prepare the dataset of characters.(described in csdn blog)

  • python3 crnn_main.py --train_root (path of train lmdb dataset) --val_root (path of val lmdb dataset) --cuda(if have)

3.6 million chinese characters dataset:

Results:

Training(accuray was 97.7% ultimately):

##(This repository is based on https://github.com/meijieru/crnn.pytorch)

If interested in Face detection, you can refer to the other repository:

MTCNN https://github.com/Sierkinhane/mtcnn-pytorch

results:

If interested in Machine Learning, you can refer to the other repository:

https://github.com/Sierkinhane/CS229-ML-Implements

CS229-ML-Implements

Implements of cs229(Machine Leaning taught by Andrew Ng) in python.

CS229 Machine Learning Xmind:

CS229 Machine Learning course and notes:

OpenCourse

cs229-Notes

Examples

TO BE CONTINUED

crnn_chinese_characters_rec's People

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