Crnn_chinese_characters_rec
chinese characters recognition
https://blog.csdn.net/Sierkinhane/article/details/82857572
Descriptions in chinese: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:
Data generator:
Results:
Training(accuray was 97.7% ultimately):
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.