Dahai

sorry, I did not get your point: I convert official RCTW2017 data to training data according to the format of file in training_samples in your respository and start running multigpu_train.py...

请问 icdar.py 文件里的width_box = int(min(width_box, 128)) # not to exceed feature map's width 不是已经限制了？ 把width_box 设置大些， recognize_part.loss(recognition_logits, input_transcription, input_box_widths)这里保证input_transcription < input_box_widths， 即保证 max(labels.indices(labels.indices[:, 1] == b, 2)) = target +...

thank you, setting ignore_longer_outputs_than_inputs=True works for me but I'm really not sure if it does any harm or not.

特征图的宽度不是512吗

谢谢啦

自己制作的15长度的中英文不同字体的数据集400万张，也包括特殊符号，batch_size = 128, 其他均默认

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could any one help me?