Awesome
Crnn_chinese_characters_rec
chinese characters recognition
Descriptions in chinese：https://blog.csdn.net/Sierkinhane/article/details/82857572
(Please update pytorch to 1.1.0 https://pytorch.org/ )
Update
* remove lmdb dataloader
* fix ctc loss
Test
- download model password:t99a
There are images in test_images file, and you just run it as follow. - python3 test.py
Train
before traning, you should prepare the dataset of characters.(described in csdn blog)
- python3 preprocessing.py to prepare train.txt and test.txt or download password:w877
- modify the path to images, train.txt and test.txt in crnn_main_v2.py
- python3 crnn_main_v2.py --cuda
3.6 million chinese characters dataset：
Data generator:
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:
Examples
Linear Regression
Locally Weighted Regression
Logistic Regression
Softmax Regression
Gaussian Discriminant Analysis
