If you have any urgent questions, you can send my regular email address([email protected]). Github's settings mailbox is not commonly used, github messages will be sent to the settings mailbox.

如果有紧急问题，发送我的常用邮箱([email protected]). Github推送的消息发送的是我的设置邮箱，那个邮箱我不经常使用。

Update 0: There are some thing well be update, waittttt.....

update 1: Update the prototxt, add the layer of 'BatchNorm' behind each layer. The learning rate can be multiplied by ten. You can get it from the new 'solver.prototxt'. The train will be faster.

Update 2: Fix the bug of 'BatchNorm Layer' include train and test when use it.

Hint 1: The 'generate_dateset.py' make the data of image belongs [0, 1], becauof 'caffe.io.load_image'. You need notice it when you test the model from read data(It maybe belong [0, 255]), or you can set the parameter of 'caffe.io.load_image'.

Hint 2: For the project of OCR, the best way that you generate data by code. It need lots of data, so mark them is a huge project.

​This software implements the Convolutional Recurrent Neural Network (CRNN) in caffe. Origin software could be found in crnn .You can also find the cnn.pytorch

​The initial environment for this project is warpctc-caffe. ​The network framework is from cnn.pytorch ,it also can be read from crnn

​CNN-LSTM-CTC, CNN can get BxC feature vectors,they are as the input of LSTM,LTSM can work the vertors in time_step.From CRNN you can get better way to work as the end-to-end character recognition.At first,I just use the LSTM-CTC( warpctc-caffe ) to work with the license plate recognition.Loss is very slow convergence and it always overfitting.The result don't like the cnn.pytorch ,I run the crnn.pytorch to work with these license plate.Finally,I am determined to write the crnn.caffe.The caffe environment is easier to make a product.

clone the code

git clone [email protected]:yalecyu/crnn.caffe.git

cd crnn.caffe

make

If there some problems,you can confirm your basic the setting of caffe and server.Build this project is the same way like build caffe.

For example,I run a smaill captcha model.You can use like: ./build/examples/cpp_recognition/recognition.bin (your).jpg (your).prototxt (your).caffemodel

./build/examples/cpp_recognition/recognition.bin data/captcha/1.png examples/crnn/deploy.prototxt examples/crnn/model/crnn_captcha.caffemodel

"- - - - - 8 8 - - - - 0 - - - - 3 3 - - - - 5 - - - - - 9 9 - -" the ans is 80359 You can change some parts of the examples/crnn/deploy.prototxt & examples/cpp_recognition/recognition.cpp & examples/crnn/crnn.prototxt,to suit your project.

python examples/crnn/generate_captcha.py

python examples/crnn/generate_dateset.py

• You can read the image at data/captcha/

./examples/crnn/train.sh

• a cup of caffe
• You can get the more information by reading code

The authors would like to thank the developers of crnn cnn.pytorch warpctc-caffe,without your help ,I can't write the crnn.caffe.When I send the email to you,always get the suggest quickly.

Please let me know if you encounter any issues.