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implement CRNN in Keras with Spatial Transformer Network

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STN should be added at this [location](https://github.com/sbillburg/CRNN-with-STN/blob/e62b41ea8bc53c76fbb5eda18e0caf01e45ce2f5/CRNN_with_STN.py#L83)

在我的 model.add(SpatialTransformer(localization_net=locnet,output_size=(2,128), input_shape=input_shape))之后,输出张量变成了下面这样,然后就无法运行了,我在GitHub上找到很多的stn模型也是这样的问题。 Layer (type) Output Shape Param # spatial_transformer (Spatial (None, 2, 128, None) 65656

When I want to use the saved mode to get prediction based on that, it raises ``` File "/home/sgnbx/Downloads/projects/CRNN-with-STN-master/prediction.py", line 20, in model = load_model('weightswithoutstnlrchanged.best.hdf5', custom_objects={"bknd": backend}) File "/home/sgnbx/anaconda3/envs/tf_gpu/lib/python3.6/site-packages/keras/engine/saving.py", line...

![image](https://user-images.githubusercontent.com/23006154/59236856-8470a280-8c2a-11e9-86ff-51182110fcde.png)

I found your model has the certain size of input, so, how can your recognize images with uncertain size? Like a 64*500 image, if resize the image, it main destroy...

是30807140_1102551758.jpg 压抑的,十日关白而已(文件名+ 文字)吗 还是文件名+文字对应的数字, 能提供一下样例吗 谢谢

You could read the paper A Multi-Object Rectified Attention Network for Scene Text Recognition at https://paperswithcode.com/paper/a-multi-object-rectified-attention-network. The author introduces a training method called curriculum training. First, he trains the crnn....

Your bidirectional LSTM's implementation has a mistake. ```go_backwards=True``` in LSTM (rnn_1b, rnn_2b) is only reverse the input before using LSTM, so you have to reverse the output of LSTM before...

Hi, Why you don't use all of y_pred[:,:,:] tensor instead of y_pred[:,2:,:]? why you don't use 0 ,1 dims? def evaluate(input_model): correct_prediction = 0 generator = img_gen_val() x_test, y_test =...