Comments (3)
wushilian
commented on June 3, 2024
是这样的，这个embedding需要修改
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Lanme
commented on June 3, 2024
@lmpan 你好请问你修改了么？结果如何？
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lmpan
commented on June 3, 2024
EMBEDDING_DIM 128 就够了
一开始只用 synthetic chinese string dataset 训练, 死活都收敛不了
后来发现用 synth90k 英文数据集训练 收敛很快
把这个两个数据集合起来训练就收敛了
loss 能降到 0.02左右 准确率97%左右
图片宽度统一缩放成 200
RNN_UNITS我改成1024了
GRU换成了LSTM
没别的改动了
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Related Issues (20)
- How to increase training rate. HOT 3
- 你好，请问怎么预测不是10个字的图片啊 HOT 2
- dic.txt HOT 1
- 单张图片预测infer.py报错，如何解决？ HOT 2
- Train.py get killed by ubuntu
- synthetic Chinese string dataset HOT 3
- 模型
- Is this trainning process right?
- could you show the addrress of model trained for us ,thanks? HOT 1
- loss下降问题 HOT 5
- attention模型和CTC模型效果有比较过吗 HOT 3
- Where do i put the data to run inference HOT 1
- 你好，我训练出来的模型只能识别和训练图片一样长度的文本，是某个参数设置错了吗？
- acc一直为0.0
- Do I need to modify charset in config.py in order to recog Chinese?
- 请问训练出来的模型有转过caffemodel么
- 转pb过程中的问题
- 代码出问题，怎么解决
- 这是一次性加载所有训练数据进入内存吗？
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