Crnn_chinese_characters_rec

chinese characters recognition

Descriptions in chinese：https://blog.csdn.net/Sierkinhane/article/details/82857572

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.

CS229 Machine Learning Xmind:

CS229 Machine Learning course and notes:

OpenCourse

cs229-Notes

Examples

Linear Regression

Locally Weighted Regression

Logistic Regression

Softmax Regression

Gaussian Discriminant Analysis

TO BE CONTINUED