cnn + self attention 实现 ocr 网络
使用self attention 实现的crnn网络，效果比直接使用seq2seq + attention好了很多，在长序列，多单词情况下效果也很好
使用方法更改 dataset/write_tfrecords.py 文件中路径位自己的路径，同样使用的是 mjsynth.tar.gz http://www.robots.ox.ac.uk/~vgg/data/text/ 数据集
然后更改 dataset/data_provider.py 中 TfDataProvider 类中的root路径为生成的tfrecord路径
运行 crnn_main.py 训练 运行 evaluate_net.py 测试
下载的训练数据集读取在哪里更改
请问cnn self-attention+CTC 和 cnn+lstm+ctc 有比较过效果吗
如题
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