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implement CRNN in Keras with Spatial Transformer Network

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Hi, I've just learnt CTC loss, and as I know it allows various length of labels as long as it's not longer than label_len. For that reason, I don't understand...

Hi, I wonder what is the theoretical basis for starting decoding from 3rd position. I'm referring to this line: `ctc_decode = bknd.ctc_decode(y_pred[:, 2:, :], input_length=np.ones(shape[0])*shape[1])[0][0]` In image_ocr.py example on keras...