Chinese

README.md

@@ -1,11 +1,14 @@
-# CRNN_Attention_OCR
-CRNN with attention to do OCR，this is just a toy code to show how use seq2seq with attention in OCR
-## network model
-CRNN is base CNN,and BiLSTM with 256 hidden_units is encode network ,GRU with 256 hidden_units is decode network
-
-## how to use
-put your image in 'train' dir,and image name should be like "xx_label_xx.jpg",Parameters are set in config.py,<br>and then just run the train.py
-
-## Dependency Library
+# 用CRNN+seq2seq+attention识别中文
+中文类别为5990类，类别可以在char_std_5990找到，中文样本的合成参考的是caffe_ocr项目，
+## 网络结构
+CNN用的是CRNN中的结构，一层双向lstm做编码器，一层GRU做解码器
+## 如何训练
+训练需要2个txt文件（train.txt，test.txt）保存图片的名字以及label,<br>
+可以在这里下载样本[(caffe_ocr)百度网盘](https://pan.baidu.com/s/1dFda6R3#list/path=%2F)<br>
+在config.py里修改路径，运行train.py
+## 依赖
 TensorFlow >=1.2<br>
-opencv
+opencv<br>
+## 引用
+[caffe_ocr](https://github.com/senlinuc/caffe_ocr)<br>
+[attention-ocr-toy-example](https://github.com/ray075hl/attention-ocr-toy-example)